plateform stringclasses 1
value | repo_name stringlengths 13 113 | name stringlengths 3 74 | ext stringclasses 1
value | path stringlengths 12 229 | size int64 23 843k | source_encoding stringclasses 9
values | md5 stringlengths 32 32 | text stringlengths 23 843k |
|---|---|---|---|---|---|---|---|---|
github | jiegzhan/machine-learning-stanford-master | savejson.m | .m | machine-learning-stanford-master/machine-learning-ex2/ex2/lib/jsonlab/savejson.m | 17,462 | utf_8 | 861b534fc35ffe982b53ca3ca83143bf | function json=savejson(rootname,obj,varargin)
%
% json=savejson(rootname,obj,filename)
% or
% json=savejson(rootname,obj,opt)
% json=savejson(rootname,obj,'param1',value1,'param2',value2,...)
%
% convert a MATLAB object (cell, struct or array) into a JSON (JavaScript
% Object Notation) string
%
% author: Qianqian Fa... |
github | jiegzhan/machine-learning-stanford-master | loadjson.m | .m | machine-learning-stanford-master/machine-learning-ex2/ex2/lib/jsonlab/loadjson.m | 18,732 | ibm852 | ab98cf173af2d50bbe8da4d6db252a20 | function data = loadjson(fname,varargin)
%
% data=loadjson(fname,opt)
% or
% data=loadjson(fname,'param1',value1,'param2',value2,...)
%
% parse a JSON (JavaScript Object Notation) file or string
%
% authors:Qianqian Fang (fangq<at> nmr.mgh.harvard.edu)
% created on 2011/09/09, including previous works from
%
% ... |
github | jiegzhan/machine-learning-stanford-master | loadubjson.m | .m | machine-learning-stanford-master/machine-learning-ex2/ex2/lib/jsonlab/loadubjson.m | 15,574 | utf_8 | 5974e78e71b81b1e0f76123784b951a4 | function data = loadubjson(fname,varargin)
%
% data=loadubjson(fname,opt)
% or
% data=loadubjson(fname,'param1',value1,'param2',value2,...)
%
% parse a JSON (JavaScript Object Notation) file or string
%
% authors:Qianqian Fang (fangq<at> nmr.mgh.harvard.edu)
% created on 2013/08/01
%
% $Id: loadubjson.m 460 2015-01-... |
github | jiegzhan/machine-learning-stanford-master | saveubjson.m | .m | machine-learning-stanford-master/machine-learning-ex2/ex2/lib/jsonlab/saveubjson.m | 16,123 | utf_8 | 61d4f51010aedbf97753396f5d2d9ec0 | function json=saveubjson(rootname,obj,varargin)
%
% json=saveubjson(rootname,obj,filename)
% or
% json=saveubjson(rootname,obj,opt)
% json=saveubjson(rootname,obj,'param1',value1,'param2',value2,...)
%
% convert a MATLAB object (cell, struct or array) into a Universal
% Binary JSON (UBJSON) binary string
%
% author... |
github | jiegzhan/machine-learning-stanford-master | submit.m | .m | machine-learning-stanford-master/machine-learning-ex4/ex4/submit.m | 1,635 | utf_8 | ae9c236c78f9b5b09db8fbc2052990fc | function submit()
addpath('./lib');
conf.assignmentSlug = 'neural-network-learning';
conf.itemName = 'Neural Networks Learning';
conf.partArrays = { ...
{ ...
'1', ...
{ 'nnCostFunction.m' }, ...
'Feedforward and Cost Function', ...
}, ...
{ ...
'2', ...
{ 'nnCostFunct... |
github | jiegzhan/machine-learning-stanford-master | submitWithConfiguration.m | .m | machine-learning-stanford-master/machine-learning-ex4/ex4/lib/submitWithConfiguration.m | 3,734 | utf_8 | 84d9a81848f6d00a7aff4f79bdbb6049 | function submitWithConfiguration(conf)
addpath('./lib/jsonlab');
parts = parts(conf);
fprintf('== Submitting solutions | %s...\n', conf.itemName);
tokenFile = 'token.mat';
if exist(tokenFile, 'file')
load(tokenFile);
[email token] = promptToken(email, token, tokenFile);
else
[email token] = p... |
github | jiegzhan/machine-learning-stanford-master | savejson.m | .m | machine-learning-stanford-master/machine-learning-ex4/ex4/lib/jsonlab/savejson.m | 17,462 | utf_8 | 861b534fc35ffe982b53ca3ca83143bf | function json=savejson(rootname,obj,varargin)
%
% json=savejson(rootname,obj,filename)
% or
% json=savejson(rootname,obj,opt)
% json=savejson(rootname,obj,'param1',value1,'param2',value2,...)
%
% convert a MATLAB object (cell, struct or array) into a JSON (JavaScript
% Object Notation) string
%
% author: Qianqian Fa... |
github | jiegzhan/machine-learning-stanford-master | loadjson.m | .m | machine-learning-stanford-master/machine-learning-ex4/ex4/lib/jsonlab/loadjson.m | 18,732 | ibm852 | ab98cf173af2d50bbe8da4d6db252a20 | function data = loadjson(fname,varargin)
%
% data=loadjson(fname,opt)
% or
% data=loadjson(fname,'param1',value1,'param2',value2,...)
%
% parse a JSON (JavaScript Object Notation) file or string
%
% authors:Qianqian Fang (fangq<at> nmr.mgh.harvard.edu)
% created on 2011/09/09, including previous works from
%
% ... |
github | jiegzhan/machine-learning-stanford-master | loadubjson.m | .m | machine-learning-stanford-master/machine-learning-ex4/ex4/lib/jsonlab/loadubjson.m | 15,574 | utf_8 | 5974e78e71b81b1e0f76123784b951a4 | function data = loadubjson(fname,varargin)
%
% data=loadubjson(fname,opt)
% or
% data=loadubjson(fname,'param1',value1,'param2',value2,...)
%
% parse a JSON (JavaScript Object Notation) file or string
%
% authors:Qianqian Fang (fangq<at> nmr.mgh.harvard.edu)
% created on 2013/08/01
%
% $Id: loadubjson.m 460 2015-01-... |
github | jiegzhan/machine-learning-stanford-master | saveubjson.m | .m | machine-learning-stanford-master/machine-learning-ex4/ex4/lib/jsonlab/saveubjson.m | 16,123 | utf_8 | 61d4f51010aedbf97753396f5d2d9ec0 | function json=saveubjson(rootname,obj,varargin)
%
% json=saveubjson(rootname,obj,filename)
% or
% json=saveubjson(rootname,obj,opt)
% json=saveubjson(rootname,obj,'param1',value1,'param2',value2,...)
%
% convert a MATLAB object (cell, struct or array) into a Universal
% Binary JSON (UBJSON) binary string
%
% author... |
github | jiegzhan/machine-learning-stanford-master | submit.m | .m | machine-learning-stanford-master/machine-learning-ex6/ex6/submit.m | 1,318 | utf_8 | bfa0b4ffb8a7854d8e84276e91818107 | function submit()
addpath('./lib');
conf.assignmentSlug = 'support-vector-machines';
conf.itemName = 'Support Vector Machines';
conf.partArrays = { ...
{ ...
'1', ...
{ 'gaussianKernel.m' }, ...
'Gaussian Kernel', ...
}, ...
{ ...
'2', ...
{ 'dataset3Params.m' }, ...
... |
github | jiegzhan/machine-learning-stanford-master | porterStemmer.m | .m | machine-learning-stanford-master/machine-learning-ex6/ex6/porterStemmer.m | 9,902 | utf_8 | 7ed5acd925808fde342fc72bd62ebc4d | function stem = porterStemmer(inString)
% Applies the Porter Stemming algorithm as presented in the following
% paper:
% Porter, 1980, An algorithm for suffix stripping, Program, Vol. 14,
% no. 3, pp 130-137
% Original code modeled after the C version provided at:
% http://www.tartarus.org/~martin/PorterStemmer/c.tx... |
github | jiegzhan/machine-learning-stanford-master | submitWithConfiguration.m | .m | machine-learning-stanford-master/machine-learning-ex6/ex6/lib/submitWithConfiguration.m | 3,734 | utf_8 | 84d9a81848f6d00a7aff4f79bdbb6049 | function submitWithConfiguration(conf)
addpath('./lib/jsonlab');
parts = parts(conf);
fprintf('== Submitting solutions | %s...\n', conf.itemName);
tokenFile = 'token.mat';
if exist(tokenFile, 'file')
load(tokenFile);
[email token] = promptToken(email, token, tokenFile);
else
[email token] = p... |
github | jiegzhan/machine-learning-stanford-master | savejson.m | .m | machine-learning-stanford-master/machine-learning-ex6/ex6/lib/jsonlab/savejson.m | 17,462 | utf_8 | 861b534fc35ffe982b53ca3ca83143bf | function json=savejson(rootname,obj,varargin)
%
% json=savejson(rootname,obj,filename)
% or
% json=savejson(rootname,obj,opt)
% json=savejson(rootname,obj,'param1',value1,'param2',value2,...)
%
% convert a MATLAB object (cell, struct or array) into a JSON (JavaScript
% Object Notation) string
%
% author: Qianqian Fa... |
github | jiegzhan/machine-learning-stanford-master | loadjson.m | .m | machine-learning-stanford-master/machine-learning-ex6/ex6/lib/jsonlab/loadjson.m | 18,732 | ibm852 | ab98cf173af2d50bbe8da4d6db252a20 | function data = loadjson(fname,varargin)
%
% data=loadjson(fname,opt)
% or
% data=loadjson(fname,'param1',value1,'param2',value2,...)
%
% parse a JSON (JavaScript Object Notation) file or string
%
% authors:Qianqian Fang (fangq<at> nmr.mgh.harvard.edu)
% created on 2011/09/09, including previous works from
%
% ... |
github | jiegzhan/machine-learning-stanford-master | loadubjson.m | .m | machine-learning-stanford-master/machine-learning-ex6/ex6/lib/jsonlab/loadubjson.m | 15,574 | utf_8 | 5974e78e71b81b1e0f76123784b951a4 | function data = loadubjson(fname,varargin)
%
% data=loadubjson(fname,opt)
% or
% data=loadubjson(fname,'param1',value1,'param2',value2,...)
%
% parse a JSON (JavaScript Object Notation) file or string
%
% authors:Qianqian Fang (fangq<at> nmr.mgh.harvard.edu)
% created on 2013/08/01
%
% $Id: loadubjson.m 460 2015-01-... |
github | jiegzhan/machine-learning-stanford-master | saveubjson.m | .m | machine-learning-stanford-master/machine-learning-ex6/ex6/lib/jsonlab/saveubjson.m | 16,123 | utf_8 | 61d4f51010aedbf97753396f5d2d9ec0 | function json=saveubjson(rootname,obj,varargin)
%
% json=saveubjson(rootname,obj,filename)
% or
% json=saveubjson(rootname,obj,opt)
% json=saveubjson(rootname,obj,'param1',value1,'param2',value2,...)
%
% convert a MATLAB object (cell, struct or array) into a Universal
% Binary JSON (UBJSON) binary string
%
% author... |
github | jiegzhan/machine-learning-stanford-master | submit.m | .m | machine-learning-stanford-master/machine-learning-ex7/ex7/submit.m | 1,438 | utf_8 | 665ea5906aad3ccfd94e33a40c58e2ce | function submit()
addpath('./lib');
conf.assignmentSlug = 'k-means-clustering-and-pca';
conf.itemName = 'K-Means Clustering and PCA';
conf.partArrays = { ...
{ ...
'1', ...
{ 'findClosestCentroids.m' }, ...
'Find Closest Centroids (k-Means)', ...
}, ...
{ ...
'2', ...
... |
github | jiegzhan/machine-learning-stanford-master | submitWithConfiguration.m | .m | machine-learning-stanford-master/machine-learning-ex7/ex7/lib/submitWithConfiguration.m | 3,734 | utf_8 | 84d9a81848f6d00a7aff4f79bdbb6049 | function submitWithConfiguration(conf)
addpath('./lib/jsonlab');
parts = parts(conf);
fprintf('== Submitting solutions | %s...\n', conf.itemName);
tokenFile = 'token.mat';
if exist(tokenFile, 'file')
load(tokenFile);
[email token] = promptToken(email, token, tokenFile);
else
[email token] = p... |
github | jiegzhan/machine-learning-stanford-master | savejson.m | .m | machine-learning-stanford-master/machine-learning-ex7/ex7/lib/jsonlab/savejson.m | 17,462 | utf_8 | 861b534fc35ffe982b53ca3ca83143bf | function json=savejson(rootname,obj,varargin)
%
% json=savejson(rootname,obj,filename)
% or
% json=savejson(rootname,obj,opt)
% json=savejson(rootname,obj,'param1',value1,'param2',value2,...)
%
% convert a MATLAB object (cell, struct or array) into a JSON (JavaScript
% Object Notation) string
%
% author: Qianqian Fa... |
github | jiegzhan/machine-learning-stanford-master | loadjson.m | .m | machine-learning-stanford-master/machine-learning-ex7/ex7/lib/jsonlab/loadjson.m | 18,732 | ibm852 | ab98cf173af2d50bbe8da4d6db252a20 | function data = loadjson(fname,varargin)
%
% data=loadjson(fname,opt)
% or
% data=loadjson(fname,'param1',value1,'param2',value2,...)
%
% parse a JSON (JavaScript Object Notation) file or string
%
% authors:Qianqian Fang (fangq<at> nmr.mgh.harvard.edu)
% created on 2011/09/09, including previous works from
%
% ... |
github | jiegzhan/machine-learning-stanford-master | loadubjson.m | .m | machine-learning-stanford-master/machine-learning-ex7/ex7/lib/jsonlab/loadubjson.m | 15,574 | utf_8 | 5974e78e71b81b1e0f76123784b951a4 | function data = loadubjson(fname,varargin)
%
% data=loadubjson(fname,opt)
% or
% data=loadubjson(fname,'param1',value1,'param2',value2,...)
%
% parse a JSON (JavaScript Object Notation) file or string
%
% authors:Qianqian Fang (fangq<at> nmr.mgh.harvard.edu)
% created on 2013/08/01
%
% $Id: loadubjson.m 460 2015-01-... |
github | jiegzhan/machine-learning-stanford-master | saveubjson.m | .m | machine-learning-stanford-master/machine-learning-ex7/ex7/lib/jsonlab/saveubjson.m | 16,123 | utf_8 | 61d4f51010aedbf97753396f5d2d9ec0 | function json=saveubjson(rootname,obj,varargin)
%
% json=saveubjson(rootname,obj,filename)
% or
% json=saveubjson(rootname,obj,opt)
% json=saveubjson(rootname,obj,'param1',value1,'param2',value2,...)
%
% convert a MATLAB object (cell, struct or array) into a Universal
% Binary JSON (UBJSON) binary string
%
% author... |
github | jiegzhan/machine-learning-stanford-master | submit.m | .m | machine-learning-stanford-master/machine-learning-ex5/ex5/submit.m | 1,765 | utf_8 | b1804fe5854d9744dca981d250eda251 | function submit()
addpath('./lib');
conf.assignmentSlug = 'regularized-linear-regression-and-bias-variance';
conf.itemName = 'Regularized Linear Regression and Bias/Variance';
conf.partArrays = { ...
{ ...
'1', ...
{ 'linearRegCostFunction.m' }, ...
'Regularized Linear Regression Cost Fun... |
github | jiegzhan/machine-learning-stanford-master | submitWithConfiguration.m | .m | machine-learning-stanford-master/machine-learning-ex5/ex5/lib/submitWithConfiguration.m | 3,734 | utf_8 | 84d9a81848f6d00a7aff4f79bdbb6049 | function submitWithConfiguration(conf)
addpath('./lib/jsonlab');
parts = parts(conf);
fprintf('== Submitting solutions | %s...\n', conf.itemName);
tokenFile = 'token.mat';
if exist(tokenFile, 'file')
load(tokenFile);
[email token] = promptToken(email, token, tokenFile);
else
[email token] = p... |
github | jiegzhan/machine-learning-stanford-master | savejson.m | .m | machine-learning-stanford-master/machine-learning-ex5/ex5/lib/jsonlab/savejson.m | 17,462 | utf_8 | 861b534fc35ffe982b53ca3ca83143bf | function json=savejson(rootname,obj,varargin)
%
% json=savejson(rootname,obj,filename)
% or
% json=savejson(rootname,obj,opt)
% json=savejson(rootname,obj,'param1',value1,'param2',value2,...)
%
% convert a MATLAB object (cell, struct or array) into a JSON (JavaScript
% Object Notation) string
%
% author: Qianqian Fa... |
github | jiegzhan/machine-learning-stanford-master | loadjson.m | .m | machine-learning-stanford-master/machine-learning-ex5/ex5/lib/jsonlab/loadjson.m | 18,732 | ibm852 | ab98cf173af2d50bbe8da4d6db252a20 | function data = loadjson(fname,varargin)
%
% data=loadjson(fname,opt)
% or
% data=loadjson(fname,'param1',value1,'param2',value2,...)
%
% parse a JSON (JavaScript Object Notation) file or string
%
% authors:Qianqian Fang (fangq<at> nmr.mgh.harvard.edu)
% created on 2011/09/09, including previous works from
%
% ... |
github | jiegzhan/machine-learning-stanford-master | loadubjson.m | .m | machine-learning-stanford-master/machine-learning-ex5/ex5/lib/jsonlab/loadubjson.m | 15,574 | utf_8 | 5974e78e71b81b1e0f76123784b951a4 | function data = loadubjson(fname,varargin)
%
% data=loadubjson(fname,opt)
% or
% data=loadubjson(fname,'param1',value1,'param2',value2,...)
%
% parse a JSON (JavaScript Object Notation) file or string
%
% authors:Qianqian Fang (fangq<at> nmr.mgh.harvard.edu)
% created on 2013/08/01
%
% $Id: loadubjson.m 460 2015-01-... |
github | jiegzhan/machine-learning-stanford-master | saveubjson.m | .m | machine-learning-stanford-master/machine-learning-ex5/ex5/lib/jsonlab/saveubjson.m | 16,123 | utf_8 | 61d4f51010aedbf97753396f5d2d9ec0 | function json=saveubjson(rootname,obj,varargin)
%
% json=saveubjson(rootname,obj,filename)
% or
% json=saveubjson(rootname,obj,opt)
% json=saveubjson(rootname,obj,'param1',value1,'param2',value2,...)
%
% convert a MATLAB object (cell, struct or array) into a Universal
% Binary JSON (UBJSON) binary string
%
% author... |
github | jiegzhan/machine-learning-stanford-master | submit.m | .m | machine-learning-stanford-master/machine-learning-ex3/ex3/submit.m | 1,567 | utf_8 | 1dba733a05282b2db9f2284548483b81 | function submit()
addpath('./lib');
conf.assignmentSlug = 'multi-class-classification-and-neural-networks';
conf.itemName = 'Multi-class Classification and Neural Networks';
conf.partArrays = { ...
{ ...
'1', ...
{ 'lrCostFunction.m' }, ...
'Regularized Logistic Regression', ...
}, ..... |
github | jiegzhan/machine-learning-stanford-master | submitWithConfiguration.m | .m | machine-learning-stanford-master/machine-learning-ex3/ex3/lib/submitWithConfiguration.m | 3,734 | utf_8 | 84d9a81848f6d00a7aff4f79bdbb6049 | function submitWithConfiguration(conf)
addpath('./lib/jsonlab');
parts = parts(conf);
fprintf('== Submitting solutions | %s...\n', conf.itemName);
tokenFile = 'token.mat';
if exist(tokenFile, 'file')
load(tokenFile);
[email token] = promptToken(email, token, tokenFile);
else
[email token] = p... |
github | jiegzhan/machine-learning-stanford-master | savejson.m | .m | machine-learning-stanford-master/machine-learning-ex3/ex3/lib/jsonlab/savejson.m | 17,462 | utf_8 | 861b534fc35ffe982b53ca3ca83143bf | function json=savejson(rootname,obj,varargin)
%
% json=savejson(rootname,obj,filename)
% or
% json=savejson(rootname,obj,opt)
% json=savejson(rootname,obj,'param1',value1,'param2',value2,...)
%
% convert a MATLAB object (cell, struct or array) into a JSON (JavaScript
% Object Notation) string
%
% author: Qianqian Fa... |
github | jiegzhan/machine-learning-stanford-master | loadjson.m | .m | machine-learning-stanford-master/machine-learning-ex3/ex3/lib/jsonlab/loadjson.m | 18,732 | ibm852 | ab98cf173af2d50bbe8da4d6db252a20 | function data = loadjson(fname,varargin)
%
% data=loadjson(fname,opt)
% or
% data=loadjson(fname,'param1',value1,'param2',value2,...)
%
% parse a JSON (JavaScript Object Notation) file or string
%
% authors:Qianqian Fang (fangq<at> nmr.mgh.harvard.edu)
% created on 2011/09/09, including previous works from
%
% ... |
github | jiegzhan/machine-learning-stanford-master | loadubjson.m | .m | machine-learning-stanford-master/machine-learning-ex3/ex3/lib/jsonlab/loadubjson.m | 15,574 | utf_8 | 5974e78e71b81b1e0f76123784b951a4 | function data = loadubjson(fname,varargin)
%
% data=loadubjson(fname,opt)
% or
% data=loadubjson(fname,'param1',value1,'param2',value2,...)
%
% parse a JSON (JavaScript Object Notation) file or string
%
% authors:Qianqian Fang (fangq<at> nmr.mgh.harvard.edu)
% created on 2013/08/01
%
% $Id: loadubjson.m 460 2015-01-... |
github | jiegzhan/machine-learning-stanford-master | saveubjson.m | .m | machine-learning-stanford-master/machine-learning-ex3/ex3/lib/jsonlab/saveubjson.m | 16,123 | utf_8 | 61d4f51010aedbf97753396f5d2d9ec0 | function json=saveubjson(rootname,obj,varargin)
%
% json=saveubjson(rootname,obj,filename)
% or
% json=saveubjson(rootname,obj,opt)
% json=saveubjson(rootname,obj,'param1',value1,'param2',value2,...)
%
% convert a MATLAB object (cell, struct or array) into a Universal
% Binary JSON (UBJSON) binary string
%
% author... |
github | jiegzhan/machine-learning-stanford-master | submit.m | .m | machine-learning-stanford-master/machine-learning-ex8/ex8/submit.m | 2,064 | utf_8 | 7c4fcf60df3a7e09d05a74f7772fed3b | function submit()
addpath('./lib');
conf.assignmentSlug = 'anomaly-detection-and-recommender-systems';
conf.itemName = 'Anomaly Detection and Recommender Systems';
conf.partArrays = { ...
{ ...
'1', ...
{ 'estimateGaussian.m' }, ...
'Estimate Gaussian Parameters', ...
}, ...
{ ...... |
github | jiegzhan/machine-learning-stanford-master | submitWithConfiguration.m | .m | machine-learning-stanford-master/machine-learning-ex8/ex8/lib/submitWithConfiguration.m | 3,734 | utf_8 | 84d9a81848f6d00a7aff4f79bdbb6049 | function submitWithConfiguration(conf)
addpath('./lib/jsonlab');
parts = parts(conf);
fprintf('== Submitting solutions | %s...\n', conf.itemName);
tokenFile = 'token.mat';
if exist(tokenFile, 'file')
load(tokenFile);
[email token] = promptToken(email, token, tokenFile);
else
[email token] = p... |
github | jiegzhan/machine-learning-stanford-master | savejson.m | .m | machine-learning-stanford-master/machine-learning-ex8/ex8/lib/jsonlab/savejson.m | 17,462 | utf_8 | 861b534fc35ffe982b53ca3ca83143bf | function json=savejson(rootname,obj,varargin)
%
% json=savejson(rootname,obj,filename)
% or
% json=savejson(rootname,obj,opt)
% json=savejson(rootname,obj,'param1',value1,'param2',value2,...)
%
% convert a MATLAB object (cell, struct or array) into a JSON (JavaScript
% Object Notation) string
%
% author: Qianqian Fa... |
github | jiegzhan/machine-learning-stanford-master | loadjson.m | .m | machine-learning-stanford-master/machine-learning-ex8/ex8/lib/jsonlab/loadjson.m | 18,732 | ibm852 | ab98cf173af2d50bbe8da4d6db252a20 | function data = loadjson(fname,varargin)
%
% data=loadjson(fname,opt)
% or
% data=loadjson(fname,'param1',value1,'param2',value2,...)
%
% parse a JSON (JavaScript Object Notation) file or string
%
% authors:Qianqian Fang (fangq<at> nmr.mgh.harvard.edu)
% created on 2011/09/09, including previous works from
%
% ... |
github | jiegzhan/machine-learning-stanford-master | loadubjson.m | .m | machine-learning-stanford-master/machine-learning-ex8/ex8/lib/jsonlab/loadubjson.m | 15,574 | utf_8 | 5974e78e71b81b1e0f76123784b951a4 | function data = loadubjson(fname,varargin)
%
% data=loadubjson(fname,opt)
% or
% data=loadubjson(fname,'param1',value1,'param2',value2,...)
%
% parse a JSON (JavaScript Object Notation) file or string
%
% authors:Qianqian Fang (fangq<at> nmr.mgh.harvard.edu)
% created on 2013/08/01
%
% $Id: loadubjson.m 460 2015-01-... |
github | jiegzhan/machine-learning-stanford-master | saveubjson.m | .m | machine-learning-stanford-master/machine-learning-ex8/ex8/lib/jsonlab/saveubjson.m | 16,123 | utf_8 | 61d4f51010aedbf97753396f5d2d9ec0 | function json=saveubjson(rootname,obj,varargin)
%
% json=saveubjson(rootname,obj,filename)
% or
% json=saveubjson(rootname,obj,opt)
% json=saveubjson(rootname,obj,'param1',value1,'param2',value2,...)
%
% convert a MATLAB object (cell, struct or array) into a Universal
% Binary JSON (UBJSON) binary string
%
% author... |
github | jiegzhan/machine-learning-stanford-master | submit.m | .m | machine-learning-stanford-master/machine-learning-ex1/ex1/submit.m | 1,876 | utf_8 | 8d1c467b830a89c187c05b121cb8fbfd | function submit()
addpath('./lib');
conf.assignmentSlug = 'linear-regression';
conf.itemName = 'Linear Regression with Multiple Variables';
conf.partArrays = { ...
{ ...
'1', ...
{ 'warmUpExercise.m' }, ...
'Warm-up Exercise', ...
}, ...
{ ...
'2', ...
{ 'computeCost.m... |
github | jiegzhan/machine-learning-stanford-master | submitWithConfiguration.m | .m | machine-learning-stanford-master/machine-learning-ex1/ex1/lib/submitWithConfiguration.m | 3,734 | utf_8 | 84d9a81848f6d00a7aff4f79bdbb6049 | function submitWithConfiguration(conf)
addpath('./lib/jsonlab');
parts = parts(conf);
fprintf('== Submitting solutions | %s...\n', conf.itemName);
tokenFile = 'token.mat';
if exist(tokenFile, 'file')
load(tokenFile);
[email token] = promptToken(email, token, tokenFile);
else
[email token] = p... |
github | jiegzhan/machine-learning-stanford-master | savejson.m | .m | machine-learning-stanford-master/machine-learning-ex1/ex1/lib/jsonlab/savejson.m | 17,462 | utf_8 | 861b534fc35ffe982b53ca3ca83143bf | function json=savejson(rootname,obj,varargin)
%
% json=savejson(rootname,obj,filename)
% or
% json=savejson(rootname,obj,opt)
% json=savejson(rootname,obj,'param1',value1,'param2',value2,...)
%
% convert a MATLAB object (cell, struct or array) into a JSON (JavaScript
% Object Notation) string
%
% author: Qianqian Fa... |
github | jiegzhan/machine-learning-stanford-master | loadjson.m | .m | machine-learning-stanford-master/machine-learning-ex1/ex1/lib/jsonlab/loadjson.m | 18,732 | ibm852 | ab98cf173af2d50bbe8da4d6db252a20 | function data = loadjson(fname,varargin)
%
% data=loadjson(fname,opt)
% or
% data=loadjson(fname,'param1',value1,'param2',value2,...)
%
% parse a JSON (JavaScript Object Notation) file or string
%
% authors:Qianqian Fang (fangq<at> nmr.mgh.harvard.edu)
% created on 2011/09/09, including previous works from
%
% ... |
github | jiegzhan/machine-learning-stanford-master | loadubjson.m | .m | machine-learning-stanford-master/machine-learning-ex1/ex1/lib/jsonlab/loadubjson.m | 15,574 | utf_8 | 5974e78e71b81b1e0f76123784b951a4 | function data = loadubjson(fname,varargin)
%
% data=loadubjson(fname,opt)
% or
% data=loadubjson(fname,'param1',value1,'param2',value2,...)
%
% parse a JSON (JavaScript Object Notation) file or string
%
% authors:Qianqian Fang (fangq<at> nmr.mgh.harvard.edu)
% created on 2013/08/01
%
% $Id: loadubjson.m 460 2015-01-... |
github | jiegzhan/machine-learning-stanford-master | saveubjson.m | .m | machine-learning-stanford-master/machine-learning-ex1/ex1/lib/jsonlab/saveubjson.m | 16,123 | utf_8 | 61d4f51010aedbf97753396f5d2d9ec0 | function json=saveubjson(rootname,obj,varargin)
%
% json=saveubjson(rootname,obj,filename)
% or
% json=saveubjson(rootname,obj,opt)
% json=saveubjson(rootname,obj,'param1',value1,'param2',value2,...)
%
% convert a MATLAB object (cell, struct or array) into a Universal
% Binary JSON (UBJSON) binary string
%
% author... |
github | KIT-3DUSCT/3DUSCT-data-access-script-master | loadAscan_v2.m | .m | 3DUSCT-data-access-script-master/loadAscan_v2.m | 5,889 | utf_8 | 91426f7e2c2dbdab9451fe3efa52569f | function [gain,AScan]= loadAScan_v2(sID,se,rID,re,mp,pathExperiment,varargin)
%
% Loads and returns Ascan for USCT v2
% If AScan could be loaded ascan is returned (without any preprocessing, i.e. unit16), but as (N,1)
%
% sID - Sender ID (TAS Nr)
% se - Sender Element
% rID - Receiver ID
% re - Receiver Element
% mp - ... |
github | seg/tutorials-2014-master | WriteSuStructure.m | .m | tutorials-2014-master/1410_Phase/SegyMAT/WriteSuStructure.m | 1,845 | utf_8 | 3ad8802591e60e4a0ced291ed1d7b543 | % WriteSuStructure : writes data to disk using SU-CWP format
%
% EX
% WriteSuStructure('datacube.segy',SegyHeader,SegyTraceHeaders,Data);
%
% (C) 2001-2004 Thomas Mejer Hansen, tmh@gfy.ku.dk/thomas@cultpenguin.com
%
% This program is free software; you can redistribute it and/or modify
% it under the terms of t... |
github | seg/tutorials-2014-master | ReadSegyTrace.m | .m | tutorials-2014-master/1410_Phase/SegyMAT/ReadSegyTrace.m | 1,884 | utf_8 | 20b547536e2514fe7973d9ed63a393e5 | % ReadSegyTrace
function [Data,STH,SegyHeader]=ReadSegyTrace(filename,traces,SegyHeader);
Data=[];
if nargin<3
SegyHeader=GetSegyHeader(filename);
end
if nargin<2
[Data,STH,SegyHeader]=ReadSegyTrace(filename);
end
if (length(traces)>1)
try
Data=zeros(SegyHeader.ns,length(traces));
catch
... |
github | seg/tutorials-2014-master | WriteSegyTraceHeaderValue.m | .m | tutorials-2014-master/1410_Phase/SegyMAT/WriteSegyTraceHeaderValue.m | 4,867 | utf_8 | a1b22ca5f8710feca8a16d47ace2e64e | % WriteSegyTraceHeaderValue : Write trace header valaue at specific location
%
% Call:
%
% % Update all trace header values starting at position 72, in integer32
% % format, to the value 30
% data=30;
% WriteSegyTraceHeaderValue(filename,data,'pos',72,'precision','int32',);
%
% % Update all trace heade... |
github | seg/tutorials-2014-master | SegymatVersion.m | .m | tutorials-2014-master/1410_Phase/SegyMAT/SegymatVersion.m | 1,106 | utf_8 | 36b4d931ca57c0f119d4e7b587eea364 | % SegymatVersion - Returns the version and release date
%
% [ver,d]=SegymatVersion;
%
%
% (C) 2001-2011, Thomas Mejer Hansen, thomas.mejer.hansen@gmail.com
%
% This program is free software; you can redistribute it and/or modify
% it under the terms of the GNU General Public License as published by
% the Fre... |
github | seg/tutorials-2014-master | sac2mat.m | .m | tutorials-2014-master/1410_Phase/SegyMAT/sac2mat.m | 12,807 | utf_8 | 7160f1bde601678e1eb151228f795428 | function [SACdata,SeisData,sacfiles]=sac2mat(varargin)
% [SACdata,SeisData,filenames] = SAC2MAT('file1','file2',..., 'filen',endian )
%
% reads n SAC files file1, file2, filen
% and converts them to matlab
% format. The filenames can contain globbing characters (e.g. * and ?).
% These are expanded and all matching fil... |
github | seg/tutorials-2014-master | CheckSegyTraceHeader.m | .m | tutorials-2014-master/1410_Phase/SegyMAT/CheckSegyTraceHeader.m | 9,418 | utf_8 | 8a8ac4e5d40f1e562e9650e81b1308ab | % SegyTraceHeader=CheckSegyTraceHeader(SegyTraceHeader);
%
% Checks that all fields of the SegyTraceHeader is set.
% If not, they are initialized.
%
%
% (C) 2004, Thomas Mejer Hansen, tmh@gfy.ku.dk/thomas@cultpenguin.com
%
%
%
% This program is free software; you can redistribute it and/or modify
% it under the... |
github | seg/tutorials-2014-master | ReadSuFast.m | .m | tutorials-2014-master/1410_Phase/SegyMAT/ReadSuFast.m | 1,615 | utf_8 | b0e4202173b5f1f60be77ae2faa9fb1b | % ReadSuFast
%
% PURPOSE : reads a SEISMIC section i SU format in big endian format,
% strips the headers and returns the field in the matrix seis.
% If nx==0 and nt<>0, nx will be computed
% If nt==0 and nx<>0, nt will be computed
%
% Call : function seis=ReadSuFast(fileid,nt... |
github | seg/tutorials-2014-master | sacpc2mat.m | .m | tutorials-2014-master/1410_Phase/SegyMAT/sacpc2mat.m | 12,238 | utf_8 | 3de29cc89a474829293e79a5a66c8b4c | function [SACdata,SeisData,sacfiles]=sacpc2mat(varargin)
% [SACdata,SeisData,filenames] = SACPCMAT('file1','file2',..., 'filen' )
%
% reads n SAC files file1, file2, filen (SAC files are assumed to have
% PC byte order) and converts them to matlab
% format. The filenames can contain globbing characters (e.g. * and ?).
... |
github | seg/tutorials-2014-master | GetSegyTraceData.m | .m | tutorials-2014-master/1410_Phase/SegyMAT/GetSegyTraceData.m | 2,758 | utf_8 | ebf8e7cb00aaaa9211b8d1fa2ef5957e | % GetSegyTraceData : Get Segy trace data if filehandle
%
% Call :
%
% tracedata=GetSegyTraceData(segyid,ns,SegyHeader,SkipData
%
%
% (C) 2001-2004 Thomas Mejer Hansen, tmh@gfy.ku.dk/thomas@cultpenguin.com
%
% This program is free software; you can redistribute it and/or modify
% it under the terms of the GNU... |
github | seg/tutorials-2014-master | sacsun2mat.m | .m | tutorials-2014-master/1410_Phase/SegyMAT/sacsun2mat.m | 12,020 | utf_8 | cc2301b099208443313a2f9b49135cab | function [SACdata,SeisData,sacfiles]=sacsun2mat(varargin)
% [SACdata,SeisData,filenames] = SACSUN2MAT('file1','file2',..., 'filen' )
%
% reads n SAC files file1, file2, filen (SAC files are assumed to have
% SUN byte order) and converts them to matlab
% format. The filenames can contain globbing characters (e.g. * and ... |
github | seg/tutorials-2014-master | ReadSegyFast.m | .m | tutorials-2014-master/1410_Phase/SegyMAT/ReadSegyFast.m | 7,427 | utf_8 | decc311cb87fd685537b9f7ee9b9db25 | % ReadSegyFast : Reads a SEG Y rev 1 formatted file, without header values (faster than ReadSegy)
%
% Call :
% [Data]=ReadSegyFast(filename);
% and equivalent to :
% [Data]=ReadSegy(filename);
%
%
% Read only the data of a SegFile - NOT Their headers.
% Much faster than ReadSegy
%
% 'minmax', 'skip'
%
% Implemented ... |
github | seg/tutorials-2014-master | progress_txt.m | .m | tutorials-2014-master/1410_Phase/SegyMAT/progress_txt.m | 834 | utf_8 | ada36980089eab080dcd9448c144cd14 | % progress_txt : console based progress bar
%
% Ex1 :
% for i=1:10000;
% progress_txt(i,10000,'Ciao');
% end
%
% Ex1 :
%
% for i=1:10;
% for j=1:10;
% for k=1:10;
% progress_txt([i j k],[10 100 1000],'i','j','k');
% end
% end
% end
%
% TMH/2005, thomas@cultpenguin.com
%
function progress_txt(i,... |
github | seg/tutorials-2014-master | Su2Segy.m | .m | tutorials-2014-master/1410_Phase/SegyMAT/Su2Segy.m | 1,049 | utf_8 | eff25ca30b92bec80cd7224e03a967cc | % SU2Segy : Converts SEGY file to SU format
%
% (C) 2001-2004, Thomas Mejer Hansen, tmh@gfy.ku.dk/thomas@cultpenguin.com
%
% This program is free software; you can redistribute it and/or modify
% it under the terms of the GNU General Public License as published by
% the Free Software Foundation; either versi... |
github | seg/tutorials-2014-master | WriteSu.m | .m | tutorials-2014-master/1410_Phase/SegyMAT/WriteSu.m | 3,318 | utf_8 | bcf7d12eaefdc63bbfa4dd8a59600ba6 | % WriteSu : writes data to disk using SEGY REV 2 standard.
%
% EX
% WriteSu('datacube.su',data,'dt',.004,'Inline3D',Inline,'Crossline3D',Crossline,'cdpX',X,'cdpY',Y);
%
% to use a specific SEG revision use :
% WriteSu('test.su',seisdata,'revision',0); % SEG-Y Revision 0
% WriteSu('test.su',seisdata,'revision',1); % SEG... |
github | seg/tutorials-2014-master | GetSegyHeader.m | .m | tutorials-2014-master/1410_Phase/SegyMAT/GetSegyHeader.m | 7,593 | utf_8 | 9562256cd4ad8b52b8159e7efa06f86a | % GetSegyHeader : Reads the segyheader of a SEGY Y formatted file
%
% Call :
% [SegyHeader]=GetSegyHeader(segyid);
%
% segyid can be a filehandle or a filename
%
%
% (C) 2001-2004 Thomas Mejer Hansen, tmh@gfy.ku.dk/thomas@cultpenguin.com
%
%
% This program is free software; you can redistribute it and/or modify
... |
github | seg/tutorials-2014-master | InitSegyTraceHeader.m | .m | tutorials-2014-master/1410_Phase/SegyMAT/InitSegyTraceHeader.m | 4,840 | utf_8 | 72537f1c86a8642a67d9ae6b74ec91c9 | % InitSegyTraceHeaders : returns an empty SegyTraceHeader structure
%
% EX:
% SegyTraceHeader=InitSegyTraceHeader(ns,dt);
%
%
% (C) 2001-2004, Thomas Mejer Hansen, tmh@gfy.ku.dk/thomas@cultpenguin.com
%
% This program is free software; you can redistribute it and/or modify
% it under the terms of the GNU General... |
github | seg/tutorials-2014-master | GetSegyTraceHeader.m | .m | tutorials-2014-master/1410_Phase/SegyMAT/GetSegyTraceHeader.m | 8,830 | utf_8 | 330af92104ce4a2df035bef2bc573e7f | % GetSegyTraceHeader : Reads a seg y trace, data and header
%
% [SegyTraceHeader]=GetSegyTraceHeader(segyid,TraceStart,DataFormat,ns);
%
%
% (C) 2001-2004 Thomas Mejer Hansen, thomas.mejer.hansen@cultpenguin.com
%
% Revisions:
% 07/2008 Kristian Stormark (<kristian.stormark@gmail.com>) : Reduce the
% number o... |
github | seg/tutorials-2014-master | GetSegyTraceHeaderInfo.m | .m | tutorials-2014-master/1410_Phase/SegyMAT/GetSegyTraceHeaderInfo.m | 1,245 | utf_8 | af4e0c28c10a3891c1344684e6fed59e | % GetSegyTraceHeaderInfo : Returns a array of a SEGY Y TraceHeader value
%
% Call :
% [value]=GetSegyHeaderInfo(SegyTraceHeaders,header)
%
% header is a header value like 'cdp','dt','TraceNumber'
%
%
% (C) 2001-2004, Thomas Mejer Hansen, tmh@gfy.ku.dk/thomas@cultpenguin.com
%
%
%
% This program is free software; yo... |
github | seg/tutorials-2014-master | ebcdic2ascii.m | .m | tutorials-2014-master/1410_Phase/SegyMAT/ebcdic2ascii.m | 3,933 | utf_8 | 63cbc443cb05b624d00edc3f02b957d5 | % ebcdic2ascii : Converts EBCDIC formatted text to ASCII formatted text
%
% CALL : ascii=ebcdic2ascii(ebcdic);
%
% ebcdic : Array on unsigned integers
% ascii : Array on unsigned integers
%
% (C) 2002-2004, Thomas Mejer Hansen, tmh@gfy.ku.dk/thomas@cultpenguin.com
%
%
% This program is free software; you can redi... |
github | seg/tutorials-2014-master | ReadSegy.m | .m | tutorials-2014-master/1410_Phase/SegyMAT/ReadSegy.m | 17,771 | utf_8 | bf80e600837f79c421f4215c20a18d1d | % ReadSegy : Reads a SEG Y rev 1 formatted file
%
% Call :
% [Data,SegyTraceHeaders,SegyHeader]=ReadSegy(filename);
%
% To read time slice 0.5<t<5 :
% [Data,SegyTraceHeaders,SegyHeader]=ReadSegy(filename,'trange',.5,3);
% To read time trace number 100,110 and 150 :
% [Data,SegyTraceHeaders,SegyHeader]=ReadSegy(filename... |
github | seg/tutorials-2014-master | MergeSegy.m | .m | tutorials-2014-master/1410_Phase/SegyMAT/MergeSegy.m | 1,261 | utf_8 | 6b32ecfc683f3af7b63ec0340bccfb0f | % MergeSegy : Merge multiple SEGY files
%
% Example :
% MergeSegy('*.sgy','merge.sgy')
%
% f{1}='file1.sgy';
% f{2}='file2.sgy';
% f{3}='file3.sgy';
% MergeSegy(f,'merge.sgy')
%
%
% Note: All imput segy files must have the same constant trace length
% The SEGY header of the merged SEGY file will be... |
github | seg/tutorials-2014-master | WriteSegyStructure.m | .m | tutorials-2014-master/1410_Phase/SegyMAT/WriteSegyStructure.m | 3,137 | utf_8 | 4df12fa8cbb0f2891b7fd5c2561cc280 | % WriteSegyStructure : writes data to disk using SEGY REV 0 and 1 standards.
%
% EX
% WriteSegyStructure('datacube.segy',SegyHeader,SegyTraceHeaders,Data);
%
% To force the use of SEG Y revision 0
% WriteSegyStructure('datacube.segy',SegyHeader,SegyTraceHeaders,Data,'revision',0);
% To force the use of SEG Y revision 1... |
github | seg/tutorials-2014-master | PutSegyHeader.m | .m | tutorials-2014-master/1410_Phase/SegyMAT/PutSegyHeader.m | 9,215 | utf_8 | 8f388ebf1ecaf07cf9c4fb98057dc2b7 | % PutSegyHeader : Writes SEG-Y header to disk.
% PutSegyHeader(segyid,SegyHeader)
%
% (C) 2001-2004, Thomas Mejer Hansen, tmh@gfy.ku.dk/thomas@cultpenguin.com
%
% This program is free software; you can redistribute it and/or modify
% it under the terms of the GNU General Public License as published by
% the F... |
github | seg/tutorials-2014-master | SegyMAT_GAIN.m | .m | tutorials-2014-master/1410_Phase/SegyMAT/SegyMAT_GAIN.m | 2,629 | utf_8 | 3c9eb45cfb08e9989024aee07fc78052 | % SegyMAT_GAIN : Gain plugin for SegyMAT
%
% [Data,SegyTraceHeaders,SegyHeader]=SegyMAT_GAIN(Data,SegyTraceHeaders,SegyHeader,varargin);
%
% ex. AGC using AGC window of 100 ms :
% [Data]=SegyMAT_GAIN(Data,SegyTraceHeaders,SegyHeader,'agc',.1);
% ex. apply t^(pow), pow=2
% [Data]=SegyMAT_GAIN(Data,SegyTraceHeaders,SegyH... |
github | seg/tutorials-2014-master | WriteSegy.m | .m | tutorials-2014-master/1410_Phase/SegyMAT/WriteSegy.m | 6,194 | utf_8 | 228dcbbe6b1f9db73888e310daa150ea | % WriteSegy : writes data to disk using SEGY REV 1 standard.
%
% EX
% WriteSegy('datacube.segy',data,'dt',.004,'Inline3D',Inline,'Crossline3D',Crossline,'cdpX',X,'cdpY',Y);
%
% to use a specific SEG revision use :
% WriteSegy('test.segy',seisdata,'revision',0); % SEG-Y Revision 0
% WriteSegy('test.segy',seisdata,'revis... |
github | seg/tutorials-2014-master | SegymatRevision.m | .m | tutorials-2014-master/1410_Phase/SegyMAT/SegymatRevision.m | 1,329 | utf_8 | 23a4b2bcd7aa58b83f3ccc8dde4a5a46 | % SegymatRevision - Returns the revision history
%
% Call : [Revision]=SegymatRevision
%
%
% (C) 2001-2011, Thomas Mejer Hansen, thomas.mejer.hansen@gmail.com
%
% This program is free software; you can redistribute it and/or modify
% it under the terms of the GNU General Public License as published by
% the ... |
github | seg/tutorials-2014-master | isoctave.m | .m | tutorials-2014-master/1410_Phase/SegyMAT/isoctave.m | 117 | utf_8 | 0a3b59cac8a9b483e95a3085be4387ab | % isoctave : checks of octave
function r=isoctave
v=version;
if (str2num(v(1)))>4
r=0;
else
r=1;
end
|
github | seg/tutorials-2014-master | ascii2ebcdic.m | .m | tutorials-2014-master/1410_Phase/SegyMAT/ascii2ebcdic.m | 3,940 | utf_8 | 80500db27103dcf156237c55d951a2fa | % ascii2ebcdic : Converts ASCII formatted text to EBCDIC formatted text
%
% CALL : ebcdic=ascii2ebcdic(ascii);
%
% ascii : Array on unsigned integers
% ebcdic : Array on unsigned integers
%
% (C) 2002-2009, Thomas Mejer Hansen, tmh@gfy.ku.dk/thomas.mejer.hansen@gmail.com
%
%
% This program is free software; you c... |
github | seg/tutorials-2014-master | ReadSegyHeader.m | .m | tutorials-2014-master/1410_Phase/SegyMAT/ReadSegyHeader.m | 5,838 | utf_8 | 8cf659b69eb0324bdf8f633c00465167 | % ReadSegyHeader : Reads a SEG Y Binary Header
%
% Call :
% [SegyHeader]=ReadSegyHeader(filename);
%
% To read using little endian :
% [SegyHeader]=ReadSegyHeader(filename,'endian','l');
%
% (C) 2001-2004, Thomas Mejer Hansen, tmh@gfy.ku.dk/thomas@cultpenguin.com
%
% This program is free software; you can redistri... |
github | seg/tutorials-2014-master | ReadSegyTraceHeaderValue.m | .m | tutorials-2014-master/1410_Phase/SegyMAT/ReadSegyTraceHeaderValue.m | 4,675 | utf_8 | 8f311e49d4b6b1593782814ec539cf0b | % ReadSegyTraceHeaderValue : Read a spedicifc trace header value
%
% Call:
% % By Name
% cdp=ReadSegyTraceHeaderValue(filename,'key','cdp');
% SourceX=ReadSegyTraceHeaderValue(filename,'key','SourceX');
% SourceY=ReadSegyTraceHeaderValue(filename,'key','SourceY');
%
% % By location in Trace Header
% S... |
github | seg/tutorials-2014-master | wiggle.m | .m | tutorials-2014-master/1410_Phase/SegyMAT/wiggle.m | 5,873 | utf_8 | 45910d67c3ea9413dbe4ea2b080aec71 | % wiggle : plot wiggle/VA/image plot
%
% Call
% wiggle(Data); % wiggle plot
% wiggle(Data,scale); % scaled wiggle plot
% wiggle(x,t,Data); % wiggle plt
% wiggle(x,t,Data,'VA') % variable Area (pos->black;neg->transp)
% wiggle(x,t,Data,'VA2') % variable Area (pos->black;neg->red)
% wiggle(x,t,Data,'wig... |
github | seg/tutorials-2014-master | PutSegyTrace.m | .m | tutorials-2014-master/1410_Phase/SegyMAT/PutSegyTrace.m | 9,299 | utf_8 | 1fbee6bb87d268064255735d9f45c572 | % PutSegyTrace(segyid,tracedata,SegyTraceHeader,TraceStart);
%
% Write a SegyTrace to a filehandle 'segyid'
%
% (C) 2001-2004, Thomas Mejer Hansen, tmh@gfy.ku.dk/thomas@cultpenguin.com
%
%
% This program is free software; you can redistribute it and/or modify
% it under the terms of the GNU General Public Lic... |
github | seg/tutorials-2014-master | ReadSegyConstantTraceLength.m | .m | tutorials-2014-master/1410_Phase/SegyMAT/ReadSegyConstantTraceLength.m | 17,042 | utf_8 | 2b6c828210cef02c1b87939f60a737dd | % ReadSegyConstantTraceLength : Reads a SEG Y rev 0/1 formatted file
% Assumes CONSTANT TRACE LENGTH
% which allows much faster code
%
% Call :
% [Data,SegyTraceHeaders,SegyHeader]=ReadSegyConstantTraceLength(filename);
%
% To read time slice 0.5<t<5 :
% [Data... |
github | seg/tutorials-2014-master | ReadSu.m | .m | tutorials-2014-master/1410_Phase/SegyMAT/ReadSu.m | 9,155 | utf_8 | 851997f3d9f738272cc5a6cf95b6001a | % ReadSu : Reads a SU formatted file (Seismic Unix)
%
% Call :
% [Data,SuTraceHeaders,SuHeader]=ReadSu(filename);
%
% To read in big endian format (default):
% [Data,SuTraceHeaders,SuHeader]=ReadSu(filename,'endian','b');
% To read in little endian format :
% [Data,SuTraceHeaders,SuHeader]=ReadSu(filename,'endian','l')... |
github | seg/tutorials-2014-master | Sac2Segy.m | .m | tutorials-2014-master/1410_Phase/SegyMAT/Sac2Segy.m | 7,218 | utf_8 | 90b6976dc23355ecd2eecf8911bf0bba | % Sac2Segy : Reads SAC formatted data into a SegyMAT (SGY) structure
%
% CALL :
% [Data,SegyTraceHeader,SegyHeader]=Sac2Segy(files_in,segyfile_out,varargin)
%
% files_in : Either a single filename or a strcture of filenames
% files_in='d1.SAC';
% or
% files_in{1}='d1.SAC';
% ... |
github | seg/tutorials-2014-master | Segy2Su.m | .m | tutorials-2014-master/1410_Phase/SegyMAT/Segy2Su.m | 1,291 | utf_8 | 0d9cee08a7a105fae2255bcefff55c2b | % Segy2Su : Converts SEGY file to SU format
%
% Call : Segy2Su(filename,ReadSegyOption)
% Replaces the filename suffix to '.su';
% 'ReadSegyOptions' are the same as to 'ReadSegy'
%
% See also : ReadSegy
%
%
%
% (C) 2001,2002 Thomas Mejer Hansen, thomas@cultpenguin.com
%
% This program is free software; you... |
github | seg/tutorials-2014-master | TraceHeaderDef.m | .m | tutorials-2014-master/1410_Phase/SegyMAT/TraceHeaderDef.m | 6,916 | utf_8 | 52f7626e5608eec64237078b2941a280 | % TraceHeaderDef : Defines names, position, and precision for Trace Headers
%
% % To get a Matlab structure with trace header definitions call:
% STH==TraceHeaderDef;
% % To get a list fo trace header definision listed on the screen call:
% STH==TraceHeaderDef(1)
%
% See also: ReadSegyTraceHeaderValue, WriteSegyTraceHe... |
github | seg/tutorials-2014-master | pick_line.m | .m | tutorials-2014-master/1410_Phase/SegyMAT/pick_line.m | 1,114 | utf_8 | ce24743d8bf8948986ac55954d092e10 | % pick_line : pick a line from a figure;
%
%
% Based on doc(ginput);
function [xy,xys]=pick_line(name,LineWidth,LineColor);
if nargin<1, name='line';end
if nargin<2, LineWidth=3;end
if nargin<3, LineColor=[1 1 0];end
hold on
% Initially, the list of points is empty.
xy = [];
n = 0;
% Loop, picking up the points.
di... |
github | seg/tutorials-2014-master | SegymatVerbose.m | .m | tutorials-2014-master/1410_Phase/SegyMAT/SegymatVerbose.m | 1,283 | utf_8 | 91cbd5d1f9f24c536b01898b26f34abc | % SegymatVerbose : Writes out verbose information to the screen
%
%
% Call :
% SegymatVerbose(text,verboselevel)
% prints out 'text' to screen if verboselevel is higher than threshold
% set in m-file.
%
%
% (C) 2001-2004, Thomas Mejer Hansen, tmh@gfy.ku.dk/thomas@cultpenguin.com
%
% This program is free sof... |
github | seg/tutorials-2014-master | GetSegyTrace.m | .m | tutorials-2014-master/1410_Phase/SegyMAT/GetSegyTrace.m | 1,414 | utf_8 | abeabf3e206e3bbf7cc3a91dfa6d1f66 | % GetSegyTrace : Reads a seg y trace, data and header
%
% [SegyTraceHeader,SegyData]=GetSegyTrace(segyid,TraceStart,DataFormat,ns);
%
%
% (C) 2001-2004 Thomas Mejer Hansen, tmh@gfy.ku.dk/thomas@cultpenguin.com
%
%
% This program is free software; you can redistribute it and/or modify
% it under the terms of the... |
github | seg/tutorials-2014-master | GetSegyHeaderBasics.m | .m | tutorials-2014-master/1410_Phase/SegyMAT/GetSegyHeaderBasics.m | 9,796 | utf_8 | 301b05e3751a42ada175b3acffe840b1 | % GetSegyHeaderBasics : Default Segy Header Header settings
%
% Call :
% Rev=GetSegyHeaderBasics
%
%
%
% (C) 2001-2004, Thomas Mejer Hansen, tmh@gfy.ku.dk/thomas@cultpenguin.com
%
% This program is free software; you can redistribute it and/or modify
% it under the terms of the GNU General Public License as pub... |
github | seg/tutorials-2014-master | GUIEditSegyHeader.m | .m | tutorials-2014-master/1410_Phase/SegyMAT/GUI/GUIEditSegyHeader.m | 13,711 | utf_8 | c6e9a7b721d99210fff0e0767abf22eb | function varargout = GUIEditSegyHeader(varargin)
% GUIEditSegyHeader : GUI for editing the SGY header
%
% Call :
% SH=GUIEditSegyHeader(SH);
%
%
% Example :
% [Data,STH,SH]=ReadSegy('841_m.sgy');
% SH=GUIEditSegyHeader(SH);
%
%
% GUIEDITSEGYHEADER Application M-file for GUIEditSegyTraceHeader.fig
% FIG = GU... |
github | seg/tutorials-2014-master | GUIPlotXY.m | .m | tutorials-2014-master/1410_Phase/SegyMAT/GUI/GUIPlotXY.m | 4,482 | utf_8 | 83486fe1795ccbd4e6bdb2cf2db3d78b | function varargout = GUIEditSegyTraceHeader(varargin)
% GUIPlotXY Application M-file for GUIEditSegyTraceHeader.fig
% FIG = GUIPLOTXY launch GUIEditSegyTraceHeader GUI.
% GUIPLOTXY('callback_name', ...) invoke the named callback.
%
% OBSOLETE ??
%
% Last Modified by GUIDE v2.0 16-Jun-2002 11:41:23
if (narg... |
github | seg/tutorials-2014-master | GUIEditSegyTraceHeader.m | .m | tutorials-2014-master/1410_Phase/SegyMAT/GUI/GUIEditSegyTraceHeader.m | 12,255 | utf_8 | f0b3e4ff50241e679450646e2dfa4639 | function varargout = GUIEditSegyTraceHeader(varargin)
% GUIEditSegyTraceHeader Application M-file for GUIEditSegyTraceHeader.fig
% FIG = GUIEDITSEGYTRACEHEADER launch GUIEditSegyTraceHeader GUI.
% GUIEDITSEGYTRACEHEADER('callback_name', ...) invoke the named callback.
% Last Modified by GUIDE v2.0 05-Jun-2002 09... |
github | seg/tutorials-2014-master | DIAOpenSEGY.m | .m | tutorials-2014-master/1410_Phase/SegyMAT/GUI/DIAOpenSEGY.m | 10,847 | utf_8 | c3f2f42817950cc5a4526966e9a51dd0 | function varargout = DIAOpenSEGY(varargin)
% DIAOPENSEGY Application M-file for DIAOpenSEGY.fig
% FIG = DIAOPENSEGY launch DIAOpenSEGY GUI.
% DIAOPENSEGY('callback_name', ...) invoke the named callback.
% Last Modified by GUIDE v2.0 12-Jun-2002 10:25:58
if ((nargin == 0)|isstruct(varargin{1})) % LAUNCH GUI
f... |
github | seg/tutorials-2014-master | GUIEditTextualFileHeader.m | .m | tutorials-2014-master/1410_Phase/SegyMAT/GUI/GUIEditTextualFileHeader.m | 9,895 | utf_8 | 8519ae23ae7d6817ea863c7c0fd7c059 | function varargout = GUIEditTextualFileHeader(varargin)
% GUIEditTextualFileHeader : GUI for editing the SGY header
%
% Call :
% SH=GUIEditTextualFileHeader(SH);
%
%
% Example :
% [Data,STH,SH]=ReadSegy('841_m.sgy');
% SH=GUIEditTextualFileHeader(SH);
%
%
% GUIEDITTEXTUALFILEHEADER M-file for GUIEditTextualFil... |
github | seg/tutorials-2014-master | segymat.m | .m | tutorials-2014-master/1410_Phase/SegyMAT/GUI/segymat.m | 33,348 | utf_8 | b863356b762b97f58d443cb5a7664805 | function varargout = segymat(varargin)
% segymat : Garphical User Interface for SegyMAT
%
% (C) 2001-2004 Thomas Mejer Hansen, tmh@gfy.ku.dk/thomas@cultpenguin.com
%
% SEGYMAT M-file for segymat.fig
% SEGYMAT, by itself, creates a new SEGYMAT or raises the existing
% singleton*.
%
% H = SEGYMAT retu... |
github | seg/tutorials-2014-master | DIAAboutSegymat.m | .m | tutorials-2014-master/1410_Phase/SegyMAT/GUI/DIAAboutSegymat.m | 3,129 | utf_8 | 31dd15d94b44aaf08dbaaa262c7a3a85 | function varargout = DIAAboutSegymat(varargin)
% DIAAboutSegymat Application M-file for DIAAboutSegymat.fig
% FIG = DIAABOUTSEGYMAT launch DIAAboutSegymat GUI.
% DIAABOUTSEGYMAT('callback_name', ...) invoke the named callback.
% Last Modified by GUIDE v2.0 06-May-2002 10:38:58
if nargin == 0 % LAUNCH GUI
fig... |
github | dzarkadas/MFCC-Text-Independent-Speaker-Recognition-master | querry_menu.m | .m | MFCC-Text-Independent-Speaker-Recognition-master/Matlab_Codes/querry_menu.m | 7,182 | utf_8 | abcfad6f4b3489ec9e74a8cca4b546f4 | function [ varargout ] = querry_menu(varargin)
% QUERRY_MENU MATLAB code for querry_menu.fig
% QUERRY_MENU, by itself, creates a new QUERRY_MENU or raises the existing
% singleton*.
%
% H = QUERRY_MENU returns the handle to a new QUERRY_MENU or the handle to
% the existing singleton*.
%
% QUERR... |
github | dzarkadas/MFCC-Text-Independent-Speaker-Recognition-master | first.m | .m | MFCC-Text-Independent-Speaker-Recognition-master/Matlab_Codes/first.m | 3,063 | utf_8 | a92924817e06ede241623ede3855835a | function [ varargout ] = first(varargin)
% FIRST MATLAB code for first.fig
% FIRST, by itself, creates a new FIRST or raises the existing
% singleton*.
%
% H = FIRST returns the handle to a new FIRST or the handle to
% the existing singleton*.
%
% FIRST('CALLBACK',hObject,eventData,handles,...)... |
github | dzarkadas/MFCC-Text-Independent-Speaker-Recognition-master | querry_menu0.m | .m | MFCC-Text-Independent-Speaker-Recognition-master/Matlab_Codes/querry_menu0.m | 8,003 | utf_8 | b743eacc335b4a7f036ef6d8da784df0 | function varargout = querry_menu0(varargin)
% QUERRY_MENU0 MATLAB code for querry_menu0.fig
% QUERRY_MENU0, by itself, creates a new QUERRY_MENU0 or raises the existing
% singleton*.
%
% H = QUERRY_MENU0 returns the handle to a new QUERRY_MENU0 or the handle to
% the existing singleton*.
%
% QU... |
github | dzarkadas/MFCC-Text-Independent-Speaker-Recognition-master | profile.m | .m | MFCC-Text-Independent-Speaker-Recognition-master/Matlab_Codes/profile.m | 6,918 | utf_8 | fd1a7a9ed4a7fc520a554cbf5d9c5ee9 | function [ varargout ] = profile(varargin)
% PROFILE MATLAB code for profile.fig
% PROFILE, by itself, creates a new PROFILE or raises the existing
% singleton*.
%
% H = PROFILE returns the handle to a new PROFILE or the handle to
% the existing singleton*.
%
% PROFILE('CALLBACK',hObject,eventD... |
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