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 | jthiem/SparseAuditoryEnvelopeCoding-master | FBsetup.m | .m | SparseAuditoryEnvelopeCoding-master/FBsetup.m | 2,873 | utf_8 | 6eaee7b3b68c9a175d42e84d555d4260 | function [ FD ] = FBsetup( FD )
%FBSETUP Setup filter data
%
% Input is a structure that will be filled with gammatone filter
% data.
% Accepted fields:
% fs: sampling frequency (if not present, assume 16k)
% Ms: vector containgin ERB indecies for filters
% If empty, assume Ms = 1.5, 2, 2.5, ...,... |
github | peiyunh/mat-vae-master | vae_mnist.m | .m | mat-vae-master/vae_mnist.m | 1,975 | utf_8 | c2a4ac3f16872556d20f069f4013d30e | function [net, info] = vae_mnist(varargin)
%% configure
opts.optim = 'SGD';
opts.gpus = [1];
opts.hiddenSizes = [28*28, 500, 2];
[opts, varargin] = vl_argparse(opts, varargin) ;
sfx = sprintfc('%d', opts.hiddenSizes);
sfx = [sfx{1} '-' sfx{2} '-' sfx{3}];
opts.expDir = fullfile('models', ['mnist-' sfx '-' opts.optim])... |
github | peiyunh/mat-vae-master | init_model.m | .m | mat-vae-master/init_model.m | 2,321 | utf_8 | 90a6544b528c79101d9a3f0338a51de0 | % init_model.m
% n0: input size
% n1: hidden layer size
% n2: encoding size
function net = init_model(n0, n1, n2)
net = dagnn.DagNN();
% set up input size
net.meta.normalization.imageSize = [1,1,n0];
% first hidden layer
net = add_layer(net, 'h1', n0, n1, 'input', 'h1');
% add tanh
net.addLayer('tanh1', dagnn.Tanh... |
github | peiyunh/mat-vae-master | rmsprop_train.m | .m | mat-vae-master/training/rmsprop_train.m | 13,036 | utf_8 | 951a9da55bf645f373630f3b82d23fe8 | function [net,stats] = rmsprop_train(net, imdb, getBatch, varargin)
%CNN_TRAIN_DAG Demonstrates training a CNN using the DagNN wrapper
% CNN_TRAIN_DAG() is similar to CNN_TRAIN(), but works with
% the DagNN wrapper instead of the SimpleNN wrapper.
% Copyright (C) 2014-16 Andrea Vedaldi.
% All rights reserved.
%
... |
github | peiyunh/mat-vae-master | sgd_train.m | .m | mat-vae-master/training/sgd_train.m | 13,557 | utf_8 | bcb7e1cfde8641638689e13424864e6a | function [net,stats] = sgd_train(net, imdb, getBatch, varargin)
%CNN_TRAIN_DAG Demonstrates training a CNN using the DagNN wrapper
% CNN_TRAIN_DAG() is similar to CNN_TRAIN(), but works with
% the DagNN wrapper instead of the SimpleNN wrapper.
% Copyright (C) 2014-16 Andrea Vedaldi.
% All rights reserved.
%
% Th... |
github | peiyunh/mat-vae-master | adagrad_train.m | .m | mat-vae-master/training/adagrad_train.m | 13,024 | utf_8 | b4637c43ec155e7024ca3b06ca1f94ef | function [net,stats] = adagrad_train(net, imdb, getBatch, varargin)
%CNN_TRAIN_DAG Demonstrates training a CNN using the DagNN wrapper
% CNN_TRAIN_DAG() is similar to CNN_TRAIN(), but works with
% the DagNN wrapper instead of the SimpleNN wrapper.
% Copyright (C) 2014-16 Andrea Vedaldi.
% All rights reserved.
%
... |
github | peiyunh/mat-vae-master | adam_train.m | .m | mat-vae-master/training/adam_train.m | 13,198 | utf_8 | 2043c620668c147da652e1052c8be01c | function [net,stats] = adam_train(net, imdb, getBatch, varargin)
%CNN_TRAIN_DAG Demonstrates training a CNN using the DagNN wrapper
% CNN_TRAIN_DAG() is similar to CNN_TRAIN(), but works with
% the DagNN wrapper instead of the SimpleNN wrapper.
% Copyright (C) 2014-16 Andrea Vedaldi.
% All rights reserved.
%
% T... |
github | avoldsund/watershed-v2-master | pdftops.m | .m | watershed-v2-master/mrst-code/export_fig/pdftops.m | 6,161 | utf_8 | 5edac4bbbdae30223cb246a4ec7313d6 | function varargout = pdftops(cmd)
%PDFTOPS Calls a local pdftops executable with the input command
%
% Example:
% [status result] = pdftops(cmd)
%
% Attempts to locate a pdftops executable, finally asking the user to
% specify the directory pdftops was installed into. The resulting path is
% stored for futur... |
github | avoldsund/watershed-v2-master | crop_borders.m | .m | watershed-v2-master/mrst-code/export_fig/crop_borders.m | 5,133 | utf_8 | b744bf935914cfa6d9ff82140b48291e | function [A, vA, vB, bb_rel] = crop_borders(A, bcol, padding, crop_amounts)
%CROP_BORDERS Crop the borders of an image or stack of images
%
% [B, vA, vB, bb_rel] = crop_borders(A, bcol, [padding])
%
%IN:
% A - HxWxCxN stack of images.
% bcol - Cx1 background colour vector.
% padding - scalar indicating ... |
github | avoldsund/watershed-v2-master | isolate_axes.m | .m | watershed-v2-master/mrst-code/export_fig/isolate_axes.m | 4,851 | utf_8 | 611d9727e84ad6ba76dcb3543434d0ce | function fh = isolate_axes(ah, vis)
%ISOLATE_AXES Isolate the specified axes in a figure on their own
%
% Examples:
% fh = isolate_axes(ah)
% fh = isolate_axes(ah, vis)
%
% This function will create a new figure containing the axes/uipanels
% specified, and also their associated legends and colorbars. The o... |
github | avoldsund/watershed-v2-master | im2gif.m | .m | watershed-v2-master/mrst-code/export_fig/im2gif.m | 6,234 | utf_8 | 8ee74d7d94e524410788276aa41dd5f1 | %IM2GIF Convert a multiframe image to an animated GIF file
%
% Examples:
% im2gif infile
% im2gif infile outfile
% im2gif(A, outfile)
% im2gif(..., '-nocrop')
% im2gif(..., '-nodither')
% im2gif(..., '-ncolors', n)
% im2gif(..., '-loops', n)
% im2gif(..., '-delay', n)
%
% This function c... |
github | avoldsund/watershed-v2-master | pdf2eps.m | .m | watershed-v2-master/mrst-code/export_fig/pdf2eps.m | 1,522 | utf_8 | 4c8f0603619234278ed413670d24bdb6 | %PDF2EPS Convert a pdf file to eps format using pdftops
%
% Examples:
% pdf2eps source dest
%
% This function converts a pdf file to eps format.
%
% This function requires that you have pdftops, from the Xpdf suite of
% functions, installed on your system. This can be downloaded from:
% http://www.foolabs.c... |
github | avoldsund/watershed-v2-master | append_pdfs.m | .m | watershed-v2-master/mrst-code/export_fig/append_pdfs.m | 2,759 | utf_8 | 9b52be41aff48bea6f27992396900640 | %APPEND_PDFS Appends/concatenates multiple PDF files
%
% Example:
% append_pdfs(output, input1, input2, ...)
% append_pdfs(output, input_list{:})
% append_pdfs test.pdf temp1.pdf temp2.pdf
%
% This function appends multiple PDF files to an existing PDF file, or
% concatenates them into a PDF file if the o... |
github | avoldsund/watershed-v2-master | eps2pdf.m | .m | watershed-v2-master/mrst-code/export_fig/eps2pdf.m | 8,793 | utf_8 | 474e976cf6454d5d7850baf14494fedf | function eps2pdf(source, dest, crop, append, gray, quality, gs_options)
%EPS2PDF Convert an eps file to pdf format using ghostscript
%
% Examples:
% eps2pdf source dest
% eps2pdf(source, dest, crop)
% eps2pdf(source, dest, crop, append)
% eps2pdf(source, dest, crop, append, gray)
% eps2pdf(source, de... |
github | avoldsund/watershed-v2-master | ghostscript.m | .m | watershed-v2-master/mrst-code/export_fig/ghostscript.m | 7,902 | utf_8 | ff62a40d651197dbea5d3c39998b3bad | function varargout = ghostscript(cmd)
%GHOSTSCRIPT Calls a local GhostScript executable with the input command
%
% Example:
% [status result] = ghostscript(cmd)
%
% Attempts to locate a ghostscript executable, finally asking the user to
% specify the directory ghostcript was installed into. The resulting path... |
github | avoldsund/watershed-v2-master | fix_lines.m | .m | watershed-v2-master/mrst-code/export_fig/fix_lines.m | 6,441 | utf_8 | ffda929ebad8144b1e72d528fa5d9460 | %FIX_LINES Improves the line style of eps files generated by print
%
% Examples:
% fix_lines fname
% fix_lines fname fname2
% fstrm_out = fixlines(fstrm_in)
%
% This function improves the style of lines in eps files generated by
% MATLAB's print function, making them more similar to those seen on
% scre... |
github | avoldsund/watershed-v2-master | pdftops.m | .m | watershed-v2-master/mrst-code/export_fig/export_fig-master/pdftops.m | 6,161 | utf_8 | 5edac4bbbdae30223cb246a4ec7313d6 | function varargout = pdftops(cmd)
%PDFTOPS Calls a local pdftops executable with the input command
%
% Example:
% [status result] = pdftops(cmd)
%
% Attempts to locate a pdftops executable, finally asking the user to
% specify the directory pdftops was installed into. The resulting path is
% stored for futur... |
github | avoldsund/watershed-v2-master | crop_borders.m | .m | watershed-v2-master/mrst-code/export_fig/export_fig-master/crop_borders.m | 5,133 | utf_8 | b744bf935914cfa6d9ff82140b48291e | function [A, vA, vB, bb_rel] = crop_borders(A, bcol, padding, crop_amounts)
%CROP_BORDERS Crop the borders of an image or stack of images
%
% [B, vA, vB, bb_rel] = crop_borders(A, bcol, [padding])
%
%IN:
% A - HxWxCxN stack of images.
% bcol - Cx1 background colour vector.
% padding - scalar indicating ... |
github | avoldsund/watershed-v2-master | isolate_axes.m | .m | watershed-v2-master/mrst-code/export_fig/export_fig-master/isolate_axes.m | 4,851 | utf_8 | 611d9727e84ad6ba76dcb3543434d0ce | function fh = isolate_axes(ah, vis)
%ISOLATE_AXES Isolate the specified axes in a figure on their own
%
% Examples:
% fh = isolate_axes(ah)
% fh = isolate_axes(ah, vis)
%
% This function will create a new figure containing the axes/uipanels
% specified, and also their associated legends and colorbars. The o... |
github | avoldsund/watershed-v2-master | im2gif.m | .m | watershed-v2-master/mrst-code/export_fig/export_fig-master/im2gif.m | 6,234 | utf_8 | 8ee74d7d94e524410788276aa41dd5f1 | %IM2GIF Convert a multiframe image to an animated GIF file
%
% Examples:
% im2gif infile
% im2gif infile outfile
% im2gif(A, outfile)
% im2gif(..., '-nocrop')
% im2gif(..., '-nodither')
% im2gif(..., '-ncolors', n)
% im2gif(..., '-loops', n)
% im2gif(..., '-delay', n)
%
% This function c... |
github | avoldsund/watershed-v2-master | read_write_entire_textfile.m | .m | watershed-v2-master/mrst-code/export_fig/export_fig-master/read_write_entire_textfile.m | 961 | utf_8 | 775aa1f538c76516c7fb406a4f129320 | %READ_WRITE_ENTIRE_TEXTFILE Read or write a whole text file to/from memory
%
% Read or write an entire text file to/from memory, without leaving the
% file open if an error occurs.
%
% Reading:
% fstrm = read_write_entire_textfile(fname)
% Writing:
% read_write_entire_textfile(fname, fstrm)
%
%IN:
% fn... |
github | avoldsund/watershed-v2-master | pdf2eps.m | .m | watershed-v2-master/mrst-code/export_fig/export_fig-master/pdf2eps.m | 1,522 | utf_8 | 4c8f0603619234278ed413670d24bdb6 | %PDF2EPS Convert a pdf file to eps format using pdftops
%
% Examples:
% pdf2eps source dest
%
% This function converts a pdf file to eps format.
%
% This function requires that you have pdftops, from the Xpdf suite of
% functions, installed on your system. This can be downloaded from:
% http://www.foolabs.c... |
github | avoldsund/watershed-v2-master | print2array.m | .m | watershed-v2-master/mrst-code/export_fig/export_fig-master/print2array.m | 10,376 | utf_8 | a2022c32ae3efa6007a326692227bd39 | function [A, bcol] = print2array(fig, res, renderer, gs_options)
%PRINT2ARRAY Exports a figure to an image array
%
% Examples:
% A = print2array
% A = print2array(figure_handle)
% A = print2array(figure_handle, resolution)
% A = print2array(figure_handle, resolution, renderer)
% A = print2array(figur... |
github | avoldsund/watershed-v2-master | append_pdfs.m | .m | watershed-v2-master/mrst-code/export_fig/export_fig-master/append_pdfs.m | 2,759 | utf_8 | 9b52be41aff48bea6f27992396900640 | %APPEND_PDFS Appends/concatenates multiple PDF files
%
% Example:
% append_pdfs(output, input1, input2, ...)
% append_pdfs(output, input_list{:})
% append_pdfs test.pdf temp1.pdf temp2.pdf
%
% This function appends multiple PDF files to an existing PDF file, or
% concatenates them into a PDF file if the o... |
github | avoldsund/watershed-v2-master | using_hg2.m | .m | watershed-v2-master/mrst-code/export_fig/export_fig-master/using_hg2.m | 1,100 | utf_8 | 47ca10d86740c27b9f6b397373ae16cd | %USING_HG2 Determine if the HG2 graphics engine is used
%
% tf = using_hg2(fig)
%
%IN:
% fig - handle to the figure in question.
%
%OUT:
% tf - boolean indicating whether the HG2 graphics engine is being used
% (true) or not (false).
% 19/06/2015 - Suppress warning in R2015b; cache result for i... |
github | avoldsund/watershed-v2-master | eps2pdf.m | .m | watershed-v2-master/mrst-code/export_fig/export_fig-master/eps2pdf.m | 8,793 | utf_8 | 474e976cf6454d5d7850baf14494fedf | function eps2pdf(source, dest, crop, append, gray, quality, gs_options)
%EPS2PDF Convert an eps file to pdf format using ghostscript
%
% Examples:
% eps2pdf source dest
% eps2pdf(source, dest, crop)
% eps2pdf(source, dest, crop, append)
% eps2pdf(source, dest, crop, append, gray)
% eps2pdf(source, de... |
github | avoldsund/watershed-v2-master | ghostscript.m | .m | watershed-v2-master/mrst-code/export_fig/export_fig-master/ghostscript.m | 7,902 | utf_8 | ff62a40d651197dbea5d3c39998b3bad | function varargout = ghostscript(cmd)
%GHOSTSCRIPT Calls a local GhostScript executable with the input command
%
% Example:
% [status result] = ghostscript(cmd)
%
% Attempts to locate a ghostscript executable, finally asking the user to
% specify the directory ghostcript was installed into. The resulting path... |
github | avoldsund/watershed-v2-master | fix_lines.m | .m | watershed-v2-master/mrst-code/export_fig/export_fig-master/fix_lines.m | 6,441 | utf_8 | ffda929ebad8144b1e72d528fa5d9460 | %FIX_LINES Improves the line style of eps files generated by print
%
% Examples:
% fix_lines fname
% fix_lines fname fname2
% fstrm_out = fixlines(fstrm_in)
%
% This function improves the style of lines in eps files generated by
% MATLAB's print function, making them more similar to those seen on
% scre... |
github | avoldsund/watershed-v2-master | hydrographMovingDisc.m | .m | watershed-v2-master/mrst-code/+util/hydrographMovingDisc.m | 3,192 | utf_8 | 7951e97f7d6630952ff82814610cafa5 | function discharge = hydrographMovingDisc(CG, tof, disc, maxTime)
%CALCULATEHYDROGRAPH Calculate the discharge at the outlet given a moving
%disc of precipitation.
% DISCHARGE = HYDROGRAPHMOVINGFRONT(CG, TOF, DISC, MAXTIME) returns the
% DISCHARGE from a watershed given a moving disc of precipitation, DISC.
% The... |
github | avoldsund/watershed-v2-master | hydrographMovingFrontFast.m | .m | watershed-v2-master/mrst-code/+util/hydrographMovingFrontFast.m | 3,452 | utf_8 | 0e521d3b45f8302d9a84d9731fb9aefa | function flow = hydrographMovingFrontFast(CG, tof, front, timeStep, maxTime)%, f)
cellArea = CG.faceLength * CG.faceLength;
flow = false;
in = true;
t = 1;
while any(in) == 1 & t < maxTime
t
[flow, in] = getDischarge(CG, tof, flow, front, maxTime, cellArea, timeStep, t);
if t == 9
hold on
... |
github | avoldsund/watershed-v2-master | hydrographMovingFront.m | .m | watershed-v2-master/mrst-code/+util/hydrographMovingFront.m | 3,162 | utf_8 | e10a17d0da03fce3f22939d6a3f18c7e | function discharge = hydrographMovingFront(CG, tof, front, maxTime)%, f)
%CALCULATEHYDROGRAPH Calculate the discharge at the outlet given a moving
%front of precipitation.
% DISCHARGE = HYDROGRAPHMOVINGFRONT(CG, TOF, FRONT, MAXTIME) returns the
% DISCHARGE from a watershed given a moving front with precipitation, ... |
github | avoldsund/watershed-v2-master | hydrographMovingDiscFast.m | .m | watershed-v2-master/mrst-code/+util/hydrographMovingDiscFast.m | 3,721 | utf_8 | 5acb45ddb71994084ca8485027d0f257 | function flow = hydrographMovingDiscFast(CG, tof, disc, timeStep, maxTime)
%CALCULATEHYDROGRAPH Calculate the discharge at the outlet given a moving
%disc of precipitation.
% DISCHARGE = HYDROGRAPHMOVINGFRONT(CG, TOF, DISC, MAXTIME) returns the
% DISCHARGE from a watershed given a moving disc of precipitation, DISC... |
github | ymh1989/Heston-master | HestonCall.m | .m | Heston-master/code/HestonCall.m | 1,171 | utf_8 | 0ec2b7dd4bf53af2e498c84cab451cc8 | function R3 = HestonCall(S,K,v,r,t,kp,et,sm,rh,ld,trunc,greek)
if nargin < 11, trunc = 100; greek = 1; end
I = sqrt(-1);
x = log(S) + r*t;
switch greek
case 1 % Price
inte = @(w) (exp(-I*w*x).*(K.^(1+I*w)).*Ffun(t,w,v,kp,ld,et,sm,rh)...
./(I*w-w.^2));
case 2 % delta
inte = @(w) (-I... |
github | andrew-nyu/migration-master | runMIDAS.m | .m | migration-master/runMIDAS.m | 922 | utf_8 | 5101dac9e3b3f452a1be92dee5ffb378 | function mcScriptRun()
clear functions
clear classes
addpath('./Core_MIDAS_Code');
addpath('./Override_Core_MIDAS_Code');
addpath('./Application_Specific_MIDAS_Code');
rng('shuffle');
runName = 'Whatever you want to call this one';
series = 'MC_Run_';
saveDirectory = './Outputs/';
input = [];
%this next line run... |
github | andrew-nyu/migration-master | newPopulation.m | .m | migration-master/gaFiles/newPopulation.m | 27,801 | utf_8 | 5ccec820c140bea6b7ba634bfe358d59 | function [bestCalibrationSet, fitnessHistory, population] = newPopulation(gAParameters)
%some fitness function data -
%use just 2002 data for now
%migrationData = reshape(interDistrictMovesMat(:,:,1),64,64);
%popData = reshape(popMat(:,1),64,1);
load migrationCounts_2002_2011;
load midasLocations;
%average data fro... |
github | mcreel/NeuralNetsForIndirectInference.jl-master | II_estimate.m | .m | NeuralNetsForIndirectInference.jl-master/CTSV/IndirectInferenceEstimationExample/II_estimate.m | 2,822 | utf_8 | 06027253caf6a324d4c98bcd78b2e37c | 1;
function m = moments(theta, Zn, S, RNGstate)
E_Z = theta-theta;
theta = [theta; zeros(5,1)];
numok = 0;
for s = 1:S
rand("state", RNGstate + s); % reset seed to control chatter
delta = 5; % time delta in minutes
M = 24*60/delta; % number of delta minute periods in a 24 hour d... |
github | mcreel/NeuralNetsForIndirectInference.jl-master | NNstat.m | .m | NeuralNetsForIndirectInference.jl-master/CTSV/IndirectInferenceEstimationExample/NNstat.m | 750 | utf_8 | 7d12af62835998afbd819fc516d0a48c | # this function take a raw 40 element vector
# of stats for the DSGE model and outputs
# the fitted 300_40.jl neural net fittted
# value
# Z enters as a row vector, output stat is also a row vector
function fit = NNstat(Z)
# load the preprocess items and NN coefs
load mZs;
load sZs;
lo... |
github | mcreel/NeuralNetsForIndirectInference.jl-master | CreateAIS.m | .m | NeuralNetsForIndirectInference.jl-master/CTSV/AIS/CreateAIS.m | 5,039 | utf_8 | 10f3d94bb346114634a03d1d9f0100d4 | ## Copyright (C) 2014 Michael Creel
##
## 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 version 3 of the License, or
## (at your option) any later version.
##
## This program is distr... |
github | mcreel/NeuralNetsForIndirectInference.jl-master | NNstat.m | .m | NeuralNetsForIndirectInference.jl-master/CTSV/AIS/NNstat.m | 986 | utf_8 | 5747256fadba8b3ae85cf174604e19e0 | # this function take a raw 40 element vector
# of stats for the DSGE model and outputs
# the fitted 300_40.jl neural net fittted
# value
# Z enters as a row vector, output stat is also a row vector
function fit = NNstat(Z)
# load the preprocess items and NN coefs
load mZs;
load sZs;
lo... |
github | mcreel/NeuralNetsForIndirectInference.jl-master | rq.m | .m | NeuralNetsForIndirectInference.jl-master/CTSV/AIS/rq.m | 2,871 | utf_8 | 482826be3a2e7c7394266203812d695d | # rq.m obtained from http://www.econ.uiuc.edu/~roger/research/rq/rq.m
function b = rq_fnm(X, y, p)
% Construct the dual problem of quantile regression
% Solve it with lp_fnm
%
%
[m n] = size(X);
u = ones(m, 1);
a = (1 - p) .* u;
b = -lp_fnm(X', -y', X' * a, u, a)';
function y = lp_fnm(A, c, b, u, x)
% Solve a linear ... |
github | mcreel/NeuralNetsForIndirectInference.jl-master | SampleFromAIS.m | .m | NeuralNetsForIndirectInference.jl-master/CTSV/AIS/SampleFromAIS.m | 2,939 | utf_8 | 242ccf9af8cedf79becd4ec6bd56d9b9 | ## Copyright (C) 2014 Michael Creel
##
## 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 version 3 of the License, or
## (at your option) any later version.
##
## This program is distr... |
github | mcreel/NeuralNetsForIndirectInference.jl-master | aux_stat.m | .m | NeuralNetsForIndirectInference.jl-master/DSGE/aux_stat.m | 4,768 | utf_8 | 3ba03bd8fb7ae6287ee75cf523930e41 | % These are the candidate auxiliary statistics for ABC estimation of
% the simple DSGE model of Creel and Kristensen (2013)
function Z = aux_stat(data)
function bad = check_bad_data(data)
bad = sum(any(isnan(data)))||sum(any(isinf(data)))||sum(any(std(data)==0));
end
bad_data = false;
% chec... |
github | mcreel/NeuralNetsForIndirectInference.jl-master | lag.m | .m | NeuralNetsForIndirectInference.jl-master/DSGE/IndirectInferenceEstimationExample/lag.m | 266 | utf_8 | ecd5f94517b473a5b49d961840bbd314 | % returns the variable (or matrix), lagged p times,
% with the first p rows filled with ones (to avoid divide errors)
% remember to drop those rows before doing analysis
function lagged_x = lag(x,p)
k = size(x,2);
lagged_x = [ones(p,k); x(1:size(x,1)-p,:)];
end
|
github | mcreel/NeuralNetsForIndirectInference.jl-master | NNstat.m | .m | NeuralNetsForIndirectInference.jl-master/DSGE/IndirectInferenceEstimationExample/NNstat.m | 598 | utf_8 | b3dc897b01927e908b1d968ba23282ce | # this function take a raw 40 element vector
# of stats for the DSGE model and outputs
# the fitted 300_40.jl neural net fittted
# value
# Z enters as a row vector, output stat is also a row vector
function fit = NNstat(Z)
# load the preprocess items and NN coefs
load NNitems;
# get the NN fit... |
github | mcreel/NeuralNetsForIndirectInference.jl-master | lags.m | .m | NeuralNetsForIndirectInference.jl-master/DSGE/IndirectInferenceEstimationExample/lags.m | 327 | utf_8 | bef729bcfb66136a4571630984636985 | % returns the variable (or matrix), lagged from 1 to p times,
% with the first p rows filled with ones (to avoid divide errors)
% remember to drop those rows before doing analysis
function lagged_x = lags(x,p)
k = size(x,2);
lagged_x = lag(x,1);
if p > 1
for i = 2:p
lagged_x = [lagged_x, lag(x,i)];
end
end ... |
github | mcreel/NeuralNetsForIndirectInference.jl-master | lag.m | .m | NeuralNetsForIndirectInference.jl-master/DSGE/SimpleDirectEstimationExample/lag.m | 266 | utf_8 | ecd5f94517b473a5b49d961840bbd314 | % returns the variable (or matrix), lagged p times,
% with the first p rows filled with ones (to avoid divide errors)
% remember to drop those rows before doing analysis
function lagged_x = lag(x,p)
k = size(x,2);
lagged_x = [ones(p,k); x(1:size(x,1)-p,:)];
end
|
github | mcreel/NeuralNetsForIndirectInference.jl-master | NNstat.m | .m | NeuralNetsForIndirectInference.jl-master/DSGE/SimpleDirectEstimationExample/NNstat.m | 574 | utf_8 | e0cadb305442966860439b1f6a6cd720 | # this function take a raw 40 element vector
# of stats for the DSGE model and outputs
# the fitted 300_40.jl neural net fittted
# value
# Z enters as a row vector, output stat is also a row vector
function fit = NNstat(Z)
# load the preprocess items and NN coefs
load NNitems;
# get the NN fit... |
github | mcreel/NeuralNetsForIndirectInference.jl-master | lags.m | .m | NeuralNetsForIndirectInference.jl-master/DSGE/SimpleDirectEstimationExample/lags.m | 327 | utf_8 | bef729bcfb66136a4571630984636985 | % returns the variable (or matrix), lagged from 1 to p times,
% with the first p rows filled with ones (to avoid divide errors)
% remember to drop those rows before doing analysis
function lagged_x = lags(x,p)
k = size(x,2);
lagged_x = lag(x,1);
if p > 1
for i = 2:p
lagged_x = [lagged_x, lag(x,i)];
end
end ... |
github | EasyMEG/EasyMEG-master | EasyMEG.m | .m | EasyMEG-master/EasyMEG.m | 74,183 | utf_8 | 3ca6e428202d81fdf034ecf596c3016a | function varargout = EasyMEG(varargin)
% EASYMEG MATLAB code for EasyMEG.fig
% EASYMEG, by itself, creates a new EASYMEG or raises the existing
% singleton*.
%
% H = EASYMEG returns the handle to a new EASYMEG or the handle to
% the existing singleton*.
%
% EASYMEG('CALLBACK',hObject,eventData,... |
github | EasyMEG/EasyMEG-master | TopoPlotTFR.m | .m | EasyMEG-master/functions/TopoPlotTFR.m | 8,463 | utf_8 | d1af1782cec011104ddb0aba1d4b4d68 | function varargout = TopoPlotTFR(varargin)
% TopoPlotTFR MATLAB code for TopoPlotTFR.fig
% TopoPlotTFR, by itself, creates a new TopoPlotTFR or raises the existing
% singleton*.
%
% H = TopoPlotTFR returns the handle to a new TopoPlotTFR or the handle to
% the existing singleton*.
%
% TopoPlotT... |
github | EasyMEG/EasyMEG-master | BandPassFilter.m | .m | EasyMEG-master/functions/BandPassFilter.m | 4,356 | utf_8 | 472be1c8ffd90c11a9f1cb65c9d7ebaa | function varargout = BandPassFilter(varargin)
% LOWPASSFILTER MATLAB code for LowPassFilter.fig
% LOWPASSFILTER, by itself, creates a new LOWPASSFILTER or raises the existing
% singleton*.
%
% H = LOWPASSFILTER returns the handle to a new LOWPASSFILTER or the handle to
% the existing singleton*.
%
%... |
github | EasyMEG/EasyMEG-master | CorticoMuscularCoherence.m | .m | EasyMEG-master/functions/CorticoMuscularCoherence.m | 5,896 | utf_8 | d16cf17d85936f5544aa8c8839c79e04 | function varargout = CorticoMuscularCoherence(varargin)
% CORTICOMUSCULARCOHERENCE MATLAB code for CorticoMuscularCoherence.fig
% CORTICOMUSCULARCOHERENCE, by itself, creates a new CORTICOMUSCULARCOHERENCE or raises the existing
% singleton*.
%
% H = CORTICOMUSCULARCOHERENCE returns the handle to a new C... |
github | EasyMEG/EasyMEG-master | SourceModel.m | .m | EasyMEG-master/functions/SourceModel.m | 9,040 | utf_8 | f1c775f4aaa0cbb576289226b2dd176b | function varargout = SourceModel(varargin)
% SOURCEMODEL MATLAB code for SourceModel.fig
% SOURCEMODEL, by itself, creates a new SOURCEMODEL or raises the existing
% singleton*.
%
% H = SOURCEMODEL returns the handle to a new SOURCEMODEL or the handle to
% the existing singleton*.
%
% SOURCEMOD... |
github | EasyMEG/EasyMEG-master | LocalizingOscillatorySources.m | .m | EasyMEG-master/functions/LocalizingOscillatorySources.m | 9,904 | utf_8 | c887311c02ebfc1fd4cf89b77ee2ba01 | function varargout = LocalizingOscillatorySources(varargin)
% LOCALIZINGOSCILLATORYSOURCES MATLAB code for LocalizingOscillatorySources.fig
% LOCALIZINGOSCILLATORYSOURCES, by itself, creates a new LOCALIZINGOSCILLATORYSOURCES or raises the existing
% singleton*.
%
% H = LOCALIZINGOSCILLATORYSOURCES retur... |
github | EasyMEG/EasyMEG-master | SelectData.m | .m | EasyMEG-master/functions/SelectData.m | 4,171 | utf_8 | 09f54113be633e3d040c827810d864d5 | function varargout = SelectData(varargin)
% SELECTDATA MATLAB code for SelectData.fig
% SELECTDATA, by itself, creates a new SELECTDATA or raises the existing
% singleton*.
%
% H = SELECTDATA returns the handle to a new SELECTDATA or the handle to
% the existing singleton*.
%
% SELECTDATA('CALL... |
github | EasyMEG/EasyMEG-master | LowPassFilter.m | .m | EasyMEG-master/functions/LowPassFilter.m | 4,350 | utf_8 | ad79e88f5b2e2b9249bdb7525b0496a8 | function varargout = LowPassFilter(varargin)
% LOWPASSFILTER MATLAB code for LowPassFilter.fig
% LOWPASSFILTER, by itself, creates a new LOWPASSFILTER or raises the existing
% singleton*.
%
% H = LOWPASSFILTER returns the handle to a new LOWPASSFILTER or the handle to
% the existing singleton*.
%
% ... |
github | EasyMEG/EasyMEG-master | RedefineTrails.m | .m | EasyMEG-master/functions/RedefineTrails.m | 8,304 | utf_8 | 492c693b9c8bee8210c0fd783184b6ab | function varargout = RedefineTrails(varargin)
% RedefineTrails MATLAB code for RedefineTrails.fig
% RedefineTrails, by itself, creates a new RedefineTrails or raises the existing
% singleton*.
%
% H = RedefineTrails returns the handle to a new RedefineTrails or the handle to
% the existing singleton... |
github | EasyMEG/EasyMEG-master | getAlim.m | .m | EasyMEG-master/functions/getAlim.m | 4,352 | utf_8 | e58d8589e705b19322d4e78c08796ec5 | function varargout = getAlim(varargin)
% GETALIM MATLAB code for getAlim.fig
% GETALIM, by itself, creates a new GETALIM or raises the existing
% singleton*.
%
% H = GETALIM returns the handle to a new GETALIM or the handle to
% the existing singleton*.
%
% GETALIM('CALLBACK',hObject,eventData,... |
github | EasyMEG/EasyMEG-master | SourceAnalysis_Single.m | .m | EasyMEG-master/functions/SourceAnalysis_Single.m | 12,734 | utf_8 | 18c0492bded0e86656fdf96d1be33d26 | function varargout = SourceAnalysis_Single(varargin)
% SOURCEANALYSIS MATLAB code for SourceAnalysis_Single.fig
% SOURCEANALYSIS, by itself, creates a new SOURCEANALYSIS or raises the existing
% singleton*.
%
% H = SOURCEANALYSIS returns the handle to a new SOURCEANALYSIS or the handle to
% the exis... |
github | EasyMEG/EasyMEG-master | TimeLockAnalysis.m | .m | EasyMEG-master/functions/TimeLockAnalysis.m | 8,475 | utf_8 | 78a9dc0f1a680dc5f17f9de62880e213 | function varargout = TimeLockAnalysis(varargin)
% LOWPASSFILTER MATLAB code for LowPassFilter.fig
% LOWPASSFILTER, by itself, creates a new LOWPASSFILTER or raises the existing
% singleton*.
%
% H = LOWPASSFILTER returns the handle to a new LOWPASSFILTER or the handle to
% the existing singleton*.
%... |
github | EasyMEG/EasyMEG-master | SourceAnalysis.m | .m | EasyMEG-master/functions/SourceAnalysis.m | 14,746 | utf_8 | 0515eb8701b85801cb8d0d702786cc4d | function varargout = SourceAnalysis(varargin)
% SOURCEANALYSIS MATLAB code for SourceAnalysis.fig
% SOURCEANALYSIS, by itself, creates a new SOURCEANALYSIS or raises the existing
% singleton*.
%
% H = SOURCEANALYSIS returns the handle to a new SOURCEANALYSIS or the handle to
% the existing singleton... |
github | EasyMEG/EasyMEG-master | SinglePlotER.m | .m | EasyMEG-master/functions/SinglePlotER.m | 7,476 | utf_8 | ef85759cb91c793e1e27a7963ba8f0c2 | function varargout = SinglePlotER(varargin)
% SinglePlotER MATLAB code for SinglePlotER.fig
% SinglePlotER, by itself, creates a new SinglePlotER or raises the existing
% singleton*.
%
% H = SinglePlotER returns the handle to a new SinglePlotER or the handle to
% the existing singleton*.
%
% Si... |
github | EasyMEG/EasyMEG-master | SplitTrial.m | .m | EasyMEG-master/functions/SplitTrial.m | 4,475 | utf_8 | 99f9fd645e0e8c8b830282612539c4a3 | function varargout = SplitTrial(varargin)
% SPLITTRIAL MATLAB code for SplitTrial.fig
% SPLITTRIAL, by itself, creates a new SPLITTRIAL or raises the existing
% singleton*.
%
% H = SPLITTRIAL returns the handle to a new SPLITTRIAL or the handle to
% the existing singleton*.
%
% SPLITTRIAL('CALL... |
github | EasyMEG/EasyMEG-master | MultiPlotTFR.m | .m | EasyMEG-master/functions/MultiPlotTFR.m | 7,899 | utf_8 | 84072fe3c00889e28481890f0dc237c3 | function varargout = MultiPlotTFR(varargin)
% MultiPlotTFR MATLAB code for MultiPlotTFR.fig
% MultiPlotTFR, by itself, creates a new MultiPlotTFR or raises the existing
% singleton*.
%
% H = MultiPlotTFR returns the handle to a new MultiPlotTFR or the handle to
% the existing singleton*.
%
% Mu... |
github | EasyMEG/EasyMEG-master | HighPassFilter.m | .m | EasyMEG-master/functions/HighPassFilter.m | 4,384 | utf_8 | 7aba360901d159f3244bdc8dd9a33fbb | function varargout = HighPassFilter(varargin)
% LOWPASSFILTER MATLAB code for LowPassFilter.fig
% LOWPASSFILTER, by itself, creates a new LOWPASSFILTER or raises the existing
% singleton*.
%
% H = LOWPASSFILTER returns the handle to a new LOWPASSFILTER or the handle to
% the existing singleton*.
%
%... |
github | EasyMEG/EasyMEG-master | BaselineCorrection.m | .m | EasyMEG-master/functions/BaselineCorrection.m | 4,321 | utf_8 | 03c4d88a5fc121d74645ab0ffe159c4c | function varargout = BaselineCorrection(varargin)
% BASELINECORRECTION MATLAB code for BaselineCorrection.fig
% BASELINECORRECTION, by itself, creates a new BASELINECORRECTION or raises the existing
% singleton*.
%
% H = BASELINECORRECTION returns the handle to a new BASELINECORRECTION or the handle to
%... |
github | EasyMEG/EasyMEG-master | FreqWAVELET.m | .m | EasyMEG-master/functions/FreqWAVELET.m | 6,605 | utf_8 | 1920cf72a31c6cc755ae2cf9919ce728 | function varargout = FreqWAVELET(varargin)
% FreqWAVELET MATLAB code for FreqWAVELET.fig
% FreqWAVELET, by itself, creates a new FreqWAVELET or raises the existing
% singleton*.
%
% H = FreqWAVELET returns the handle to a new FreqWAVELET or the handle to
% the existing singleton*.
%
% FreqWAVEL... |
github | EasyMEG/EasyMEG-master | MultiPlotER.m | .m | EasyMEG-master/functions/MultiPlotER.m | 7,809 | utf_8 | 6bdb2dad07e5d79a6ea7e88f6c954143 | function varargout = MultiPlotER(varargin)
% MULTIPLOTER MATLAB code for MultiPlotER.fig
% MULTIPLOTER, by itself, creates a new MULTIPLOTER or raises the existing
% singleton*.
%
% H = MULTIPLOTER returns the handle to a new MULTIPLOTER or the handle to
% the existing singleton*.
%
% MULTIPLOT... |
github | EasyMEG/EasyMEG-master | TrfHanningTapers.m | .m | EasyMEG-master/functions/TrfHanningTapers.m | 6,729 | utf_8 | 7cac6c9250fece6e31b07fafaa32be30 | function varargout = TrfHanningTapers(varargin)
% LOWPASSFILTER MATLAB code for LowPassFilter.fig
% LOWPASSFILTER, by itself, creates a new LOWPASSFILTER or raises the existing
% singleton*.
%
% H = LOWPASSFILTER returns the handle to a new LOWPASSFILTER or the handle to
% the existing singleton*.
%... |
github | EasyMEG/EasyMEG-master | SinglePlotTFR.m | .m | EasyMEG-master/functions/SinglePlotTFR.m | 7,567 | utf_8 | 54bb41fb9db1f941f2aa71d746a4b750 | function varargout = SinglePlotTFR(varargin)
% SinglePlotTFR MATLAB code for SinglePlotTFR.fig
% SinglePlotTFR, by itself, creates a new SinglePlotTFR or raises the existing
% singleton*.
%
% H = SinglePlotTFR returns the handle to a new SinglePlotTFR or the handle to
% the existing singleton*.
%
% ... |
github | EasyMEG/EasyMEG-master | BandStopFilter.m | .m | EasyMEG-master/functions/BandStopFilter.m | 4,387 | utf_8 | 40344632b5e42b9066d0b99c00014ccb | function varargout = BandStopFilter(varargin)
% LOWPASSFILTER MATLAB code for LowPassFilter.fig
% LOWPASSFILTER, by itself, creates a new LOWPASSFILTER or raises the existing
% singleton*.
%
% H = LOWPASSFILTER returns the handle to a new LOWPASSFILTER or the handle to
% the existing singleton*.
%
%... |
github | EasyMEG/EasyMEG-master | LeadField.m | .m | EasyMEG-master/functions/LeadField.m | 6,212 | utf_8 | 50206a00c7a651a559fd25c2ae475c8e | function varargout = LeadField(varargin)
% LEADFIELD MATLAB code for LeadField.fig
% LEADFIELD, by itself, creates a new LEADFIELD or raises the existing
% singleton*.
%
% H = LEADFIELD returns the handle to a new LEADFIELD or the handle to
% the existing singleton*.
%
% LEADFIELD('CALLBACK',hO... |
github | EasyMEG/EasyMEG-master | FreqMTMCONVOL.m | .m | EasyMEG-master/functions/FreqMTMCONVOL.m | 7,256 | utf_8 | 62a407403a76c73a3c2e05f5783d3c89 | function varargout = FreqMTMCONVOL(varargin)
% FreqMTMCONVOL MATLAB code for FreqMTMCONVOL.fig
% FreqMTMCONVOL, by itself, creates a new FreqMTMCONVOL or raises the existing
% singleton*.
%
% H = FreqMTMCONVOL returns the handle to a new FreqMTMCONVOL or the handle to
% the existing singleton*.
%
% ... |
github | EasyMEG/EasyMEG-master | FreqTFR.m | .m | EasyMEG-master/functions/FreqTFR.m | 7,097 | utf_8 | c2630ca0e8ae86003c1064bb9bc9167a | function varargout = FreqTFR(varargin)
% FreqTFR MATLAB code for FreqTFR.fig
% FreqTFR, by itself, creates a new FreqTFR or raises the existing
% singleton*.
%
% H = FreqTFR returns the handle to a new FreqTFR or the handle to
% the existing singleton*.
%
% FreqTFR('CALLBACK',hObject,eventData,... |
github | EasyMEG/EasyMEG-master | TopoPlotER.m | .m | EasyMEG-master/functions/TopoPlotER.m | 8,441 | utf_8 | 8f7896e5d967f30c0f915b72c4d1eeb8 | function varargout = TopoPlotER(varargin)
% TopoPlotER MATLAB code for TopoPlotER.fig
% TopoPlotER, by itself, creates a new TopoPlotER or raises the existing
% singleton*.
%
% H = TopoPlotER returns the handle to a new TopoPlotER or the handle to
% the existing singleton*.
%
% TopoPlotER('CALL... |
github | EasyMEG/EasyMEG-master | VisualInspect.m | .m | EasyMEG-master/functions/VisualInspect.m | 10,166 | utf_8 | 5d1813f1dcd69ea2d0c875756b1f4177 | function varargout = VisualInspect(varargin)
% VisualInspect MATLAB code for VisualInspect.fig
% VisualInspect, by itself, creates a new VisualInspect or raises the existing
% singleton*.
%
% H = VisualInspect returns the handle to a new VisualInspect or the handle to
% the existing singleton*.
%
% ... |
github | EasyMEG/EasyMEG-master | AppendData.m | .m | EasyMEG-master/functions/AppendData.m | 5,746 | utf_8 | c27af8b3ead5e20a6e71ff9ace9dbb77 | function varargout = AppendData(varargin)
% APPENDDATA MATLAB code for AppendData.fig
% APPENDDATA, by itself, creates a new APPENDDATA or raises the existing
% singleton*.
%
% H = APPENDDATA returns the handle to a new APPENDDATA or the handle to
% the existing singleton*.
%
% APPENDDATA('CALL... |
github | EasyMEG/EasyMEG-master | SourcePlot.m | .m | EasyMEG-master/functions/SourcePlot.m | 8,902 | utf_8 | ffc773164668b2483ad325a404239dab | function varargout = SourcePlot(varargin)
% SOURCEPLOT MATLAB code for SourcePlot.fig
% SOURCEPLOT, by itself, creates a new SOURCEPLOT or raises the existing
% singleton*.
%
% H = SOURCEPLOT returns the handle to a new SOURCEPLOT or the handle to
% the existing singleton*.
%
% SOURCEPLOT('CALL... |
github | EasyMEG/EasyMEG-master | FreqMTMFFT.m | .m | EasyMEG-master/functions/FreqMTMFFT.m | 6,376 | utf_8 | 4453ddf0464d2a83336252d52836123e | function varargout = FreqMTMFFT(varargin)
% FREQMTMFFT MATLAB code for FreqMTMFFT.fig
% FREQMTMFFT, by itself, creates a new FREQMTMFFT or raises the existing
% singleton*.
%
% H = FREQMTMFFT returns the handle to a new FREQMTMFFT or the handle to
% the existing singleton*.
%
% FREQMTMFFT('CALL... |
github | EasyMEG/EasyMEG-master | SetFieldTrip.m | .m | EasyMEG-master/functions/SetFieldTrip.m | 4,222 | utf_8 | c8b5ae779657208f00a063ea82397c69 | function varargout = SetFieldTrip(varargin)
% SETFIELDTRIP MATLAB code for SetFieldTrip.fig
% SETFIELDTRIP, by itself, creates a new SETFIELDTRIP or raises the existing
% singleton*.
%
% H = SETFIELDTRIP returns the handle to a new SETFIELDTRIP or the handle to
% the existing singleton*.
%
% SE... |
github | EasyMEG/EasyMEG-master | inifile.m | .m | EasyMEG-master/external/inifile/inifile.m | 31,136 | utf_8 | eb48bffae1dd557fa58461a80b52c1d4 | function varargout = inifile(varargin)
%INIFILE Creates, reads, or writes data from/to a standard ini (ascii)
% file. Such a file is organized into sections
% ([section name]), subsections(enclosed by {subsection name}),
% and keys (key=value). Empty lines and lines with the first non-empty
% ... |
github | bakerjw/NGAW2_correlations-master | AS16_dur.m | .m | NGAW2_correlations-master/AS16_dur.m | 4,904 | utf_8 | 8ef39edbab6d37a72bca927f49a2a6be | function [ median, sigma, tau, phi ] = AS16_dur( Def, M, R, Vs30, Mech, Z1, CJ )
%
% Created by Jack Baker, August 9, 2016
% Based on code from Kioumars Afshari
% Updated 12/8/2017 to correct errors in AS16 equations 11 and 12
%
% Duration prediction from the following model
%
% Afshari, K., and Stewart, J. P. (2016). ... |
github | bakerjw/NGAW2_correlations-master | exampleCS.m | .m | NGAW2_correlations-master/exampleCS.m | 4,358 | utf_8 | 8077e5d9c213e4e6d9f33bd80a1dcaef | function [ ] = exampleCS()
% Compute example conditional spectra to illustrate the effect of
% correlation models
% Jack Baker
% 2 June 2016
clear
load allIMsResids
%% specify an analysis scenario
M = 7.5; Dist_jb = 20; Vs30 = 500; Fault_Type = 1; z1 = -999; region = 0; % SS fault and z1, global model
% conditio... |
github | bakerjw/NGAW2_correlations-master | CY_2014_nga_mod.m | .m | NGAW2_correlations-master/CY_2014_nga_mod.m | 16,597 | utf_8 | da42ec05d6bc6fb82ec1af8e645d3657 | % coded by Yue Hua
% Stanford University
% yuehua@stanford.edu
%
% CY_14 attenuation equation - Update of the Chiou and Youngs NGA Model for
% the Average Horizontal Component of Peak Ground Motion and Response
% Spectra, Chiou and Youngs (2014)
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%... |
github | bakerjw/NGAW2_correlations-master | nearestCorrelationMatrix.m | .m | NGAW2_correlations-master/nearestCorrelationMatrix.m | 14,702 | utf_8 | 457fed4e97fe659dc135e5df6986f2dd | %%%%%%%%% This code is designed to solve %%%%%%%%%%%%%
%%%%%%%% min 0.5*<X-G, X-G>
%%%%%%% s.t. X_ii =b_i, i=1,2,...,n
%%%%%%% X>=tau*I (symmetric and positive semi-definite) %%%%%%%%%%%%%%%
%%%%%%%%
%%%%%% based on the algorithm in %%%%%
%%%%%% ``A Quadratically Convergent Newton Method for %%%
%... |
github | bakerjw/NGAW2_correlations-master | GetInterIntraEventResiduals.m | .m | NGAW2_correlations-master/GetInterIntraEventResiduals.m | 5,154 | utf_8 | bcc8b0d83e83707384860ffbbd8496c8 | function Out=GetInterIntraEventResiduals(input)
%This class is used to get observed ground motion residuals and
%seperate out into inter and intra event terms. There is also the potential
%to consider spatial correlation (but not implemented as a Aug 2012)
%in the inter and intra event terms
%Input variables:
... |
github | saadali37/Crowd-Flow-Segmentation-master | compute_watershed.m | .m | Crowd-Flow-Segmentation-master/compute_watershed.m | 2,351 | utf_8 | e306ea8a101291b11be8bd748c479c44 | function [seg_mask] = compute_watershed( fLCS, bLCS, optical_flow_folder, frames, pixels_to_remove )
cLCS = abs(fLCS) + abs(bLCS);
% cLCS = filter_ftle(fLCS);
wat_shed = watershed(cLCS);
%%%%First remove small segments -- less than 150 pixels -- -you can pick
%%%%your own number
clabs = unique(wat_shed(:... |
github | Adnan1011/NR-IQA-CNN-master | compute_LCC_SROCC.m | .m | NR-IQA-CNN-master/compute_LCC_SROCC.m | 3,886 | utf_8 | ebda18825025a25088f46b3baefcd567 | % Author: Adnan Chaudhry
% Date: October 13, 2016
%% Compute LCC and SROCC for the outputs of IQA CNN
function compute_LCC_SROCC()
clc;
clear;
% number of trained CNN's being tested
nNets = 100;
% Create an output file
out = fopen('outputs/out.txt', 'wt');
if(out == -1)
error('unable to open output file for writ... |
github | Adnan1011/NR-IQA-CNN-master | normalizeLocalContrast.m | .m | NR-IQA-CNN-master/Training data preparation scripts/normalizeLocalContrast.m | 1,485 | utf_8 | cc223c89bc5e248b59bee8b374d9f354 | % Author: Adnan Chaudhry
% Date: September 22, 2016
%% Apply local contrast normalization
% imagePatches -- patches of input image
% windowSize -- local window size used in the contrast normalization
% patchSize -- size of each patch along one dimension (each patch is
% assumed to be square)
% normalizedPatches -- outp... |
github | Adnan1011/NR-IQA-CNN-master | writeScoreData.m | .m | NR-IQA-CNN-master/Training data preparation scripts/writeScoreData.m | 829 | utf_8 | 3420324a8d6c00a5121ae7b301a4786c | % Author: Adnan Chaudhry
% Date: September 27, 2016
%% Create training and validation data files
% Write image and score data to a file
% scoresFile -- output file to which data would be written
% imageName -- name of the image whose patches are formed
% nPatches -- number of patches in the image
% scoreValue -- score ... |
github | Adnan1011/NR-IQA-CNN-master | visFilterKernels.m | .m | NR-IQA-CNN-master/Training data preparation scripts/visFilterKernels.m | 727 | utf_8 | 24199422120170b0f02eede28e619a04 | % Author: Adnan Chaudhry
% Date: December 14, 2016
%% Visualize image patches
% filterKernels -- cell array containing filter kernels
function visFilterKernels(filterKernels)
% get row and column dimensions of the input cell array
[rowDim, colDim] = size(filterKernels);
% Show all the kernels as subfigures in one figur... |
github | Adnan1011/NR-IQA-CNN-master | calcNumPatches.m | .m | NR-IQA-CNN-master/Training data preparation scripts/calcNumPatches.m | 548 | utf_8 | a49067d7ecc6b81998c932464fe85996 | % Author: Adnan Chaudhry
% Date: September 27, 2016
%% Calculate the number of patches in an image
% image -- is the input RGB image
% patchSize -- is the size of the square patches in which the image is to be
% divided
% nPatches -- number of patches of size (patchSize x patchSize) which could be
% formed in that ima... |
github | Adnan1011/NR-IQA-CNN-master | getImagePatches.m | .m | NR-IQA-CNN-master/Training data preparation scripts/getImagePatches.m | 955 | utf_8 | 7388ea46f5a35a84e77223b1ea652f7c | % Author: Adnan Chaudhry
% Date: September 21, 2016
%% Divide image into patches
% image -- is the input grayscale image
% patchSize -- is the size of the square patches in which the image is to be
% divided
% patches -- output patches (output of mat2cell)
function patches = getImagePatches(image, patchSize)
[rows, col... |
github | Adnan1011/NR-IQA-CNN-master | saveImagePatches.m | .m | NR-IQA-CNN-master/Training data preparation scripts/saveImagePatches.m | 1,000 | utf_8 | e5d15afdecf96b0ffc14f0dfbd4dc5cb | % Author: Adnan Chaudhry
% Date: September 22, 2016
%% Save image patches to disk in bmp format
% imagePatches -- input image patches's cell array
% outputDir -- output directory where patches are to be saved
% imageName -- name of the image file to which the patches belong
function saveImagePatches(imagePatches, outpu... |
github | Adnan1011/NR-IQA-CNN-master | visImagePatches.m | .m | NR-IQA-CNN-master/Training data preparation scripts/visImagePatches.m | 710 | utf_8 | 290c667d5432a23be7e9f6f7c77ccc2c | % Author: Adnan Chaudhry
% Date: September 21, 2016
%% Visualize image patches
% imagePatches -- cell array containing image patches
function visImagePatches(imagePatches)
% get row and column dimensions of the input cell array
[rowDim, colDim] = size(imagePatches);
% Show all the patches as subfigures in one figure
pl... |
github | Adnan1011/NR-IQA-CNN-master | classification_demo.m | .m | NR-IQA-CNN-master/matlab/demo/classification_demo.m | 5,412 | utf_8 | 8f46deabe6cde287c4759f3bc8b7f819 | function [scores, maxlabel] = classification_demo(im, use_gpu)
% [scores, maxlabel] = classification_demo(im, use_gpu)
%
% Image classification demo using BVLC CaffeNet.
%
% IMPORTANT: before you run this demo, you should download BVLC CaffeNet
% from Model Zoo (http://caffe.berkeleyvision.org/model_zoo.html)
%
% *****... |
github | hytseng0509/DPE-master | preCal.m | .m | DPE-master/matlab/APE/preCal.m | 1,657 | utf_8 | a9d27f525b1dc8860a41898b9e7242d7 | function [marker, img, bounds, steps, dim] = preCal(in_mat, M, I, minDim, minTz, maxTz, delta, verbose)
% dimensions of images
[hm, wm, ~] = size(M);
[hi, wi, ~] = size(I);
dim.marker.w = wm;
dim.marker.h = hm;
dim.img.w = wi;
dim.img.h = hi;
% intrinsic parameter
Sxf = in_mat(1,1);
Syf = in_m... |
github | hytseng0509/DPE-master | C2Festimate.m | .m | DPE-master/matlab/APE/C2Festimate.m | 4,328 | utf_8 | 8ad28c0adc19593316b5f6c2c71085c8 | function [ex_mat,newDelta,steps] = C2Festimate(marker, img, in_mat, bounds, steps, dim, epsilon, delta, photometricInvariance, verbose)
% get random sample of pixels for computing Ea
numPoints = round(10/epsilon^2);
xs = randi(dim.marker.w,[1,numPoints]);
ys = randi(dim.marker.h,[1,numPoints]);
% create... |
github | hytseng0509/DPE-master | solver_pfold.m | .m | DPE-master/matlab/OPnP/solver_pfold.m | 8,452 | utf_8 | 7d7065489a779da0b7f8153a045b4a11 | function [sols,stats] = solver_pfold(C0,settings)
if isfield(settings,'debug') == 0;
settings.debug = 0; % compute statistics conditioning etc. much slower
end
if isfield(settings,'nrun') == 0
settings.nrun = 0; % # of run to find best sub-determinants in p-fold integer solver
end
if isfield(settings,'old_... |
github | hytseng0509/DPE-master | Resultant_Solver_DLS.m | .m | DPE-master/matlab/OPnP/Resultant_Solver_DLS.m | 36,582 | utf_8 | 31825a36e21ef1797fb94d2c9968c250 | function [y z t] = Resultant_Solver_DLS(f1coeff,f2coeff,f3coeff)
u = round(randn(4,1) * 100);
M2 = cayley_LS_M(f1coeff, f2coeff, f3coeff,u);
% construct the multiplication matrix via schur compliment of the Macaulay
% matrix
Mtilde = M2(1:27,1:27) - M2(1:27,28:120)/M2(28:120,28:120)*M2(28:120,1:27);
[V,~] = eig(Mtild... |
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