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 | Roboy/roboy_darkroom-master | datadump.m | .m | roboy_darkroom-master/darkroom/scripts/YAMLREADER/datadump.m | 1,072 | utf_8 | a6d8c5d1e2c330b66626e585e43ff721 | function datadump(data)
recurse(data, 0, []);
end
function result = recurse(data, level, addit)
indent = repmat(' | ',1,level);
if iscell(data) && ~ismymatrix(data)
result = iter_cell(data, level, addit);
elseif isstruct(data)
result = iter_struct(data, level, addit);
else... |
github | Roboy/roboy_darkroom-master | ReadYaml.m | .m | roboy_darkroom-master/darkroom/scripts/YAMLREADER/ReadYaml.m | 2,780 | utf_8 | 434901add453af4ae87764737b8b421c | %==========================================================================
% Actually reads YAML file and transforms it using several mechanisms:
%
% - Transforms mappings and lists into Matlab structs and cell arrays,
% for timestamps uses DateTime class, performs all imports (when it
% finds a struct ... |
github | Roboy/roboy_darkroom-master | doinheritance.m | .m | roboy_darkroom-master/darkroom/scripts/YAMLREADER/doinheritance.m | 3,279 | utf_8 | 8ab1f9998935c4994858f87c9669cac9 | %==========================================================================
% Searches through some hierarchy and performs inheritance. Whenever finds
% struct field named 'parent' it tries to find all points, defined by its
% content and uses them as the struct ancestors. Example:
%
% Given:
%
% s.a.a = 1
% ... |
github | Roboy/roboy_darkroom-master | WriteYaml.m | .m | roboy_darkroom-master/darkroom/scripts/YAMLREADER/WriteYaml.m | 7,008 | utf_8 | 9b2a88b3fbb0257a77af09222129699c | %==========================================================================
% Recursively walks through a Matlab hierarchy and converts it to the
% hierarchy of java.util.ArrayListS and java.util.MapS. Then calls
% Snakeyaml to write it to a file.
%===================================================================... |
github | Roboy/roboy_darkroom-master | selftest_yamlmatlab.m | .m | roboy_darkroom-master/darkroom/scripts/YAMLREADER/Tests/selftest_yamlmatlab.m | 2,954 | utf_8 | 4b0ea27db95878c651e0c46855f39e18 | function selftest_yamlmatlab(varargin)
% This function tests consistency of YAMLMatlab, by default, the results
% are stored in selftest_report.html in current work folder.
% Example
% >> selftest_yamlmatlab()
% >> selftest_yamlmatlab(outFileName)
%
% %=================================================================... |
github | Roboy/roboy_darkroom-master | test_ReadYaml.m | .m | roboy_darkroom-master/darkroom/scripts/YAMLREADER/Tests/test_ReadYaml.m | 8,883 | utf_8 | 1647e455763d95a6c10948a007741f02 | function stat = test_ReadYaml()
% this function tests reading in the yaml file
stat.ok = 1;
stat.desc = '';
try
%stat.test_ReadYaml_SimpleStructure = test_ReadYaml_SimpleStructure();
%stat.test_ReadYaml_DateTime = test_ReadYaml_DateTime();
fprintf('Testing read ');
stat.test_RY_Matrices = test_RY_... |
github | Roboy/roboy_darkroom-master | test_WriteYaml.m | .m | roboy_darkroom-master/darkroom/scripts/YAMLREADER/Tests/test_WriteYaml.m | 1,745 | utf_8 | de37cbde8a33d40a7b1f05ef8e7f16cf | function stat = test_WriteYaml()
stat.ok = 1;
stat.desc = '';
try
fprintf('Testing write ');
stat.test_WY_Matrices = test_WY_Universal(PTH_PRIMITIVES(), 'matrices');
fprintf('.');
stat.test_WY_FloatingPoints = test_WY_Universal(PTH_PRIMITIVES(), 'floating_points');
fprintf('.');
stat.test_WY_In... |
github | Roboy/roboy_darkroom-master | calibration.m | .m | roboy_darkroom-master/darkroom/scripts/calibration/calibration.m | 7,516 | utf_8 | 9d4ef0c4049d2da1a69de8df06209b24 | %% read the relative sensor locations from yaml
clear all
close all
config = ReadYaml('calibration.yaml');
rel_pos = cell2mat(config.sensor_relative_locations(:,2:end));
%% pose estimation
lighthouse_pose = eye(4);
% this is lighthouse to world pose
lighthouse_pose(2,4) = 1
numberOfFrames = 100
plot = false
pose_g... |
github | zhaohuajing/V2V-network-sensitivity-analysis-master | mean_err_MC_uniform.m | .m | V2V-network-sensitivity-analysis-master/mean_err_MC_uniform.m | 2,596 | utf_8 | d1b354e64d6192a89888453831bff41e | %Numerically calculate an unbiased estimator for the expected CMM error by Monte Carlo simulation
function [nv,m_err]=mean_err_MC_uniform(sig_n2)
%load rand_angle.mat
% for N_v=15:15
% N_v
% angle=2*pi*rand(1,10);
% angle=[4.18473579635023,4.76497989105900,1.87071752652456,3.01069347870357,1.920077... |
github | zhaohuajing/V2V-network-sensitivity-analysis-master | MC_analytic.m | .m | V2V-network-sensitivity-analysis-master/MC_analytic.m | 1,047 | utf_8 | 075393ab09db204332273466018d9689 | %Numerically calculate an unbiased estimator for the expected CMM error at a crossroad by Monte Carlo simulation
function [nv,m_err]=MC_analytic(sig)
for N_v_each=3:12;
% sig2=0.09;
% sig=sqrt(sig2);
for mm=1:5000
X1=max(randn(1,N_v_each)*sig);
X2=max(randn(1,N_v_each)*sig);
X3=max(randn(1,N_v_each... |
github | skojaku/km_config-master | km_config.m | .m | km_config-master/src/matlab/km_config.m | 1,100 | utf_8 | 6a78d3e991ee915e825171939fb5ac78 | %
% MATLAB client for the KM-config algorithm
%
%
% An algorithm for finding multiple core-periphery pairs in networks
%
%
% Core-periphery structure requires something else in the network
% Sadamori Kojaku and Naoki Masuda
% Preprint arXiv:1710.07076
%
%
% Please do not distribute without contacting the authors.
%
%
... |
github | BMHLab/CElegansConnectomeGeneExpression-master | compareGOannotations.m | .m | CElegansConnectomeGeneExpression-master/Analysis/Genes/compareGOannotations.m | 3,845 | utf_8 | 7f9635759e746ee89717d759e5416403 | % check if there are genes in worm from the categories used in mouse
% get a list of go categories in mouse and compare to the list in worm (for
% all posible genes)
% ------------------------------------------------------------------------------
% read in all txt files from mouse and combine unique GO categories in a
... |
github | BMHLab/CElegansConnectomeGeneExpression-master | AdjLabelNodes.m | .m | CElegansConnectomeGeneExpression-master/Analysis/Both/AdjLabelNodes.m | 2,442 | utf_8 | efff47d0cbf1f2161c5dedaa203b43e4 | % Ben Fulcher, 2014-10-01
% Labels nodes according to their links to/from the rich club
% Modified by Taqi Ali 17-7-15
% ------------------------------------------------------------------------------
function [nodeLabels,labelNames,nodeData] = AdjLabelNodes(labelWhat,Adj,extraParam,networkType)
if nargin < 4
netw... |
github | BMHLab/CElegansConnectomeGeneExpression-master | coexpELCHUncon.m | .m | CElegansConnectomeGeneExpression-master/Analysis/Both/coexpELCHUncon.m | 3,600 | utf_8 | c8c9715b1605bf0a956bbd4428bc0bd0 | %% [p, stats] = coexpConnUncon (C, G, connectivityType, anatomyPart, dorankedTest)
% ------------------------------------------------------------------------------
% function compares and plots coexpression between pairs of neurons that are connected with electrical, chemical synapses as well as pairs of unconnected ne... |
github | BMHLab/CElegansConnectomeGeneExpression-master | coexpRecUnidirUncon.m | .m | CElegansConnectomeGeneExpression-master/Analysis/Both/coexpRecUnidirUncon.m | 2,470 | utf_8 | 6d35b058bd9a3ac9c65d337b2ff4b552 | % ------------------------------------------------------------------------------
% Aurina Arnatkeviciute
% ------------------------------------------------------------------------------
% script for checking reciplocally/unidirctionally connected and unconnected link coexpression using
% Pearson coexpression
% --------... |
github | BMHLab/CElegansConnectomeGeneExpression-master | coexpConnUncon.m | .m | CElegansConnectomeGeneExpression-master/Analysis/Both/coexpConnUncon.m | 3,265 | utf_8 | 8794762ceb527d6f932a3fff97cc603f | %% [p, stats] = coexpConnUncon (C, G, connectivityType, anatomyPart, dorankedTest)
% ------------------------------------------------------------------------------
% function compares and plots coexpression for connected and unconnected
% links in Celegans connectome.
% -------------------------------------------------... |
github | BMHLab/CElegansConnectomeGeneExpression-master | giveDistributions.m | .m | CElegansConnectomeGeneExpression-master/Analysis/Both/giveDistributions.m | 2,510 | utf_8 | 9cb9ba4d9fd2592173dbf66cdfc7942b | % ------------------------------------------------------------------------------
% Aurina Arnatkeviciute,
% make violin plots for rich/feeder/peripheral/unconnected for a chosen hub
% threshold. Can change to lineage matrix instead of coexpression matrix
% ---------------------------------------------------------------... |
github | BMHLab/CElegansConnectomeGeneExpression-master | degreeDependence.m | .m | CElegansConnectomeGeneExpression-master/Analysis/Both/degreeDependence.m | 8,980 | utf_8 | 624d87ab72d87977d1887cafedcc8488 | %% [data, numberHere] = degreeDependence(C,G, measureTouse, doStrength, conType, chooseCategory, includingCategory, chooseRigth, useKinKout, doNonOverlap, categoryNoOverlap)
% ------------------------------------------------------------------------------
% function plots coexpression for links involving a specific ca... |
github | BMHLab/CElegansConnectomeGeneExpression-master | RichClubPhiNorm_A.m | .m | CElegansConnectomeGeneExpression-master/Analysis/Connectome/RichClubPhiNorm_A.m | 5,364 | utf_8 | 86916b0bffc1f3fd416b8b7be62d737e | function [PhiNorm,PhiTrue,PhiRand, rAdj] = RichClubPhiNorm_A(Adj,kmax,numIter,numRepeats,WhatTypeNetwork,whatNullModel, wei_freq)
% RichClubPhiNorm
%
% INPUTS:
% Adjacency matrix, Adj
% Compares to m randomly permuted version of the same matrix
% Does QE iterations, where E is the number of edges
% In the case of weigh... |
github | BMHLab/CElegansConnectomeGeneExpression-master | propLinkDegree.m | .m | CElegansConnectomeGeneExpression-master/Analysis/Connectome/propLinkDegree.m | 2,564 | utf_8 | 863e43052e46e7a4057cdd7fa6f41489 | %% propTypesDegree(C)
% ------------------------------------------------------------------------------
% Function plots the proportion of interneurons/motor/sensory/polymodal neurons as a function of degree.
%-------------------------------------------------------------------------------
% Inputs
% --------------------... |
github | BMHLab/CElegansConnectomeGeneExpression-master | RichClubPhiNorm.m | .m | CElegansConnectomeGeneExpression-master/Analysis/Connectome/RichClubPhiNorm.m | 9,767 | utf_8 | a22de308555e4efd49481ebf187f09f1 | function [PhiNorm,PhiTrue,PhiRand] = RichClubPhiNorm(Adj,kmax,numIter,numRepeats,WhatTypeNetwork,whatNullModel)
% RichClubPhiNorm
%
% INPUTS:
% Adjacency matrix, Adj
% Compares to m randomly permuted version of the same matrix
% Does QE iterations, where E is the number of edges
% In the case of weighted networks, THIS... |
github | BMHLab/CElegansConnectomeGeneExpression-master | NeuronRegionFinder.m | .m | CElegansConnectomeGeneExpression-master/DataProcessing/NeuronRegionFinder.m | 4,349 | utf_8 | c7115a0bce8edb2694ed4d71204db3cf | function C = NeuronRegionFinder(C,beVocal)
%-------------------------------------------------------------------------------
% 1. Reads in the hierarchy file (from RetrieveHierarchy.py)
% 2. Creates a translation table, and assigns all neurons to specific regions
% 3. Outputs results to matlab file: CElegans_Connectivit... |
github | BMHLab/CElegansConnectomeGeneExpression-master | GiveMeQuantileMeans.m | .m | CElegansConnectomeGeneExpression-master/PeripheralFunctions/GiveMeQuantileMeans.m | 950 | utf_8 | 5226c27e131644e8b97c99433b8a53c4 | % Outputs the xRange used for the quantiles
% Outputs the means of the yData provided in each quantiled-bin
% Outputs the indices of the data used in each quantile (as a cell)
% ------------------------------------------------------------------------------
% Ben Fulcher, 2014-11-05
function [xRange,yMeans,affectedInd... |
github | BMHLab/CElegansConnectomeGeneExpression-master | BF_thetime.m | .m | CElegansConnectomeGeneExpression-master/PeripheralFunctions/BF_thetime.m | 2,985 | utf_8 | f3ce0b3b40c5a21901c4ce987dc0e7cc | % ------------------------------------------------------------------------------
% BF_thetime
% ------------------------------------------------------------------------------
%
% Converts the input, tsec, a duration of time in seconds, into an appropriate
% string for output (i.e., converts to minutes or hours or days... |
github | BMHLab/CElegansConnectomeGeneExpression-master | communicability.m | .m | CElegansConnectomeGeneExpression-master/PeripheralFunctions/communicability.m | 1,229 | utf_8 | 54866b44e768f75fee441f69e6c20f5d | % ------------------------------------------------------------------------------
% Ben Fulcher, 2014-09-18
% ------------------------------------------------------------------------------
% Quick implementation of communicability, a measure introduced by Estrada and
% Hatano (2008).
%
%---INPUTS:
% Adj, the adjacency ... |
github | BMHLab/CElegansConnectomeGeneExpression-master | ClusterDown.m | .m | CElegansConnectomeGeneExpression-master/PeripheralFunctions/ClusterDown.m | 4,972 | utf_8 | 47d0d299d41fca3513d3959292e96e34 | % Originally TSQ_localcorrm, used in fetal heart rate analysis work.
% Takes in a distance matrix, and clusters it down to a reduced set
% Clusters down a set of operations based on their behavior
% ------------------------------------------------------------------------------
% Ben Fulcher, 2014-06-25
% Ben Fulcher, 2... |
github | BMHLab/CElegansConnectomeGeneExpression-master | RemoveNaN_DistMat.m | .m | CElegansConnectomeGeneExpression-master/PeripheralFunctions/RemoveNaN_DistMat.m | 808 | utf_8 | 9e6741adf3e66bc6c3077a2fd7e31255 | % Removes NaN entries from an input distance matrix, R
% ------------------------------------------------------------------------------
% Ben Fulcher, 2014-06-25
% ------------------------------------------------------------------------------
function [R, keepers] = RemoveNaN_DistMat(R)
keepers = logical(ones(length(R... |
github | BMHLab/CElegansConnectomeGeneExpression-master | BF_NaNCov.m | .m | CElegansConnectomeGeneExpression-master/PeripheralFunctions/BF_NaNCov.m | 2,271 | utf_8 | 0a261b6d7bf567015ac1fc6a9d689663 | % Covariance including NaNs for an input matrix, X
% Not exact, because removes full mean across all values, rather than across
% overlapping range, but should a reasonable approximation when number of NaNs
% is small.
% Output can be either the covariance matrix, or matrix of correlation
% coefficients, depending on t... |
github | BMHLab/CElegansConnectomeGeneExpression-master | BF_NormalizeMatrix.m | .m | CElegansConnectomeGeneExpression-master/PeripheralFunctions/BF_NormalizeMatrix.m | 10,527 | utf_8 | cbe478d5295aa270b1b6953658b08fdc | % ------------------------------------------------------------------------------
% BF_NormalizeMatrix
% ------------------------------------------------------------------------------
%
% Normalizes all columns of an input matrix.
%
%---INPUTS:
% F, the input matrix
% normopt, the normalization method to use (see body... |
github | BMHLab/CElegansConnectomeGeneExpression-master | PlotCorrMat.m | .m | CElegansConnectomeGeneExpression-master/PeripheralFunctions/PlotCorrMat.m | 1,444 | utf_8 | 9aba8801d74815c2322704078cf9aad7 | % ------------------------------------------------------------------------------
% Ben Fulcher, 2014-06-24
% ------------------------------------------------------------------------------
function PlotCorrMat(D_corr,Minus1To1)
if nargin < 2 || isempty(Minus1To1)
Minus1To1 = 1; % assume range from -1 to 1
end
% M... |
github | BMHLab/CElegansConnectomeGeneExpression-master | BF_pdist.m | .m | CElegansConnectomeGeneExpression-master/PeripheralFunctions/BF_pdist.m | 7,563 | utf_8 | a9994650d52efdec2c584a240d2e4a04 | % ------------------------------------------------------------------------------
% BF_pdist
% ------------------------------------------------------------------------------
%
% Same as pdist but then goes through and fills in NaNs with indiviually
% calculated values using an overlapping range of good values.
%
% HIST... |
github | BMHLab/CElegansConnectomeGeneExpression-master | BF_removeNaNColumns.m | .m | CElegansConnectomeGeneExpression-master/PeripheralFunctions/BF_removeNaNColumns.m | 1,138 | utf_8 | ab75a92b242a05c5c2f8817b832a70fa | % ------------------------------------------------------------------------------
% Removes columns with NaNs in them
% ------------------------------------------------------------------------------
% Ben Fulcher, 2014-09-23 Added parameter that allows some proportion of bad values
% Ben Fulcher, 2014-07-08
% ----------... |
github | jfrascon/SLAM_AND_PATH_PLANNING_ALGORITHMS-master | arrow.m | .m | SLAM_AND_PATH_PLANNING_ALGORITHMS-master/10-EXTRA_RESOURCES/MATLAB_SCRIPTS/arrow.m | 59,561 | utf_8 | c7638a77607ba7fa39d3d641f7bd4ce7 | function [h,yy,zz] = arrow(varargin)
% ARROW Draw a line with an arrowhead.
%
% ARROW(Start,Stop) draws a line with an arrow from Start to Stop (points
% should be vectors of length 2 or 3, or matrices with 2 or 3
% columns), and returns the graphics handle of the arrow(s).
%
% ARROW uses the mouse (cl... |
github | jfrascon/SLAM_AND_PATH_PLANNING_ALGORITHMS-master | compute_derivative.m | .m | SLAM_AND_PATH_PLANNING_ALGORITHMS-master/10-EXTRA_RESOURCES/MATLAB_SCRIPTS/compute_derivative.m | 315 | utf_8 | c9a63637037ba13f518a21e57aa78124 |
function [jumps] = compute_derivative(scan, min_dist)
jumps = zeros(1, length(scan));
for i =2:length(scan)-1
l = scan(i-1);
r = scan(i+1);
if(l > min_dist && r > min_dist)
der = (r - l)/2.0;
jumps(i) = der;
else
jumps(i) = 0;
jumps.append(0);
end
end
end
|
github | albanie/mcnDatasets-master | getAfewImdb.m | .m | mcnDatasets-master/afew3.0/getAfewImdb.m | 7,968 | utf_8 | e0c2c8792224231b31c5422ab050db1d | function imdb = getAfewImdb(opts, varargin)
%GETAFEWIMDB AFEW 3.0 imdb construction
% IMDB = GETAFEWIMDB(OPTS) builds an image/video database for training and
% testing on the AFEW 3.0 dataset
%
% GETAFEWIMDB(..'name', value) accepts the following options:
%
% `includeTest` :: false
% whether to include face t... |
github | albanie/mcnDatasets-master | printCocoResults.m | .m | mcnDatasets-master/coco/printCocoResults.m | 2,339 | utf_8 | 0050c5f890a3045bd3578931851f99cf | function res = printCocoResults(cacheDir, varargin)
%PRINTCOCORESULTS print summary of coco results
%
% Copyright (C) 2017 Samuel Albanie
% Licensed under The MIT License [see LICENSE.md for details]
opts.expTag = '' ;
opts.orientation = 'portrait' ;
opts = vl_argparse(opts, varargin) ;
% handle either a sin... |
github | albanie/mcnDatasets-master | getCocoImdb.m | .m | mcnDatasets-master/coco/getCocoImdb.m | 7,468 | utf_8 | ffd12136cf3dab046980e1204fd96fe1 | function imdb = getCocoImdb(opts)
%GETCOCOIMDB coco imdb construction
% IMDB = GETCOCOIMDB(OPTS) builds an image database for training and
% testing on the coco dataset
%
% Copyright (C) 2017 Samuel Albanie
% Licensed under The MIT License [see LICENSE.md for details]
imdb = cocoSetup(opts) ;
classIds = 1:numel(... |
github | albanie/mcnDatasets-master | getEnterfaceImdb.m | .m | mcnDatasets-master/enterface/getEnterfaceImdb.m | 6,163 | utf_8 | 5ea10b5523c5a127fa92868c620706d4 | function imdb = getEnterfaceImdb(opts, varargin)
%GETENTERFACE Enterface imdb construction
% IMDB = GETENTERFACE(OPTS) builds an image/video database for training and
% testing on the Enterface dataset
%
% Copyright (C) 2018 Samuel Albanie
% Licensed under The MIT License [see LICENSE.md for details]
opts.generate... |
github | albanie/mcnDatasets-master | getSfewImdb.m | .m | mcnDatasets-master/sfew/getSfewImdb.m | 2,881 | utf_8 | 92f19b9656b9963c9bbbfb9d468dc823 | function imdb = getSfewImdb(dataDir)
%GETSFEWIMDB Returns imdb (the image database)
% IMDB = GETSFEWIMDB(DATADIR) loads the SFEW image datbase. This
% functions assumes that DATADIR is directory containing a collection
% of images in png format arranged in three folders 'Train', 'Val'
% and 'Test'. 'Train' an... |
github | albanie/mcnDatasets-master | getFerPlusImdb.m | .m | mcnDatasets-master/FER2013+/getFerPlusImdb.m | 6,404 | utf_8 | 03a434a2ba9a28fb6cc3b6776e55d443 | function imdb = getFerPlusImdb(dataDir, varargin)
%GETFERPLUSIMDB Returns imdb (the image database)
% IMDB = GETFERPLUSIMDB(DATADIR, VARARGIN) loads the FER+ image datbase.
%
% GETFERPLUSIMDB(..'name', value) accepts the following options:
%
% `dataType` :: 'CNTK'
% This option which labels and images are incl... |
github | albanie/mcnDatasets-master | getFerImdb.m | .m | mcnDatasets-master/FER2013/getFerImdb.m | 3,726 | utf_8 | c07a753c36c98f7af25539f20f2c75d4 | function imdb = getFerImdb(dataDir)
%GETFERIMDB Returns imdb (the image database)
% IMDB = GETFERIMDB(DATADIR) loads the FER image datbase. This functions
% assumes that the raw data `fer2013.csv` has been downloaded and placed
% in DATADIR.
%
% Copyright (C) 2018 Samuel Albanie
% Licensed under The MIT License [se... |
github | albanie/mcnDatasets-master | getCombinedPascalImdb.m | .m | mcnDatasets-master/pascal/getCombinedPascalImdb.m | 6,155 | utf_8 | 5438bfc85dc18199302018cc40fe2863 | function imdb = getCombinedPascalImdb(opts, varargin)
% GETCOMBINEDPASCALIMDB - load Pascal IMDB file
% IMDB = GETCOMBINEDPASCALIMDB(OPTS) constructs an IMDB for the
% Pascal VOC data spanning the 2007 and 2012 dataset (commonly referred
% to as the "0712" dataset in object detection.
%
% GETCOMBINEDPASCALIMDBP... |
github | albanie/mcnDatasets-master | vocSetup.m | .m | mcnDatasets-master/pascal/vocSetup.m | 11,730 | utf_8 | cf914b40f0b77ff3859f66c2e2563a3e | function imdb = vocSetup(varargin)
% VOCSETUP download and setup data from the Pascal VOC challenge
%
% This script was sourced from the Matconvnet-fcn project, written by
% Sebastien Erhardt and Andrea Vedaldi:
% https://github.com/vlfeat/matconvnet-fcn
opts.edition = '07' ;
opts.dataDir = fullfile('data','voc07... |
github | albanie/mcnDatasets-master | eval_voc_cls.m | .m | mcnDatasets-master/pascal/helpers/eval_voc_cls.m | 2,667 | utf_8 | 2ecdf767a03c8f7c347660d9b63b00cf | function res = eval_voc_cls(cls, image_ids, scores, VOCopts, varargin)
% RES = EVAL_VOC(CLS, IMAGE_IDS, SCORES, VOCOPTS)
% Use the VOCdevkit to evaluate classifications specified in boxes
% for class cls against the ground-truth boxes in the image
% database IMDB. Results files are saved with an optional suffix.
... |
github | albanie/mcnDatasets-master | eval_voc.m | .m | mcnDatasets-master/pascal/helpers/eval_voc.m | 3,584 | utf_8 | 1894c1f0ce5c9212bd5dc7325dfc9bbf | function res = eval_voc(cls, image_ids, bboxes, scores, VOCopts, varargin)
% RES = EVAL_VOC(CLS, IMAGE_IDS, BBOXES, SCORES, VOCOPTS)
% Use the VOCdevkit to evaluate detections specified in boxes
% for class cls against the ground-truth boxes in the image
% database IMDB. Results files are saved with an optional s... |
github | albanie/mcnDatasets-master | getRmlImdb.m | .m | mcnDatasets-master/rml/getRmlImdb.m | 5,299 | utf_8 | 891c2e84680f145e95cb207c55c406d4 | function imdb = getRmlImdb(opts, varargin)
%GETRMLIMDB Rml imdb construction
% IMDB = GETRMLIMDB(OPTS) builds an image/video database for training and
% testing on the RML dataset
%
% Copyright (C) 2018 Samuel Albanie
% Licensed under The MIT License [see LICENSE.md for details]
opts.generateWavs = true ;
opts =... |
github | q-omar/gravity_anomalies-master | grav_pot_point.m | .m | gravity_anomalies-master/matlab_implementation/grav_pot_point.m | 307 | utf_8 | e8daed0e0a3699dea2338cd54278e2f5 | %GOPH 547-Gravity and Magnetics
%Safian Omar Qureshi
%ID: 10086638
%TA: Ye Sun
%% Question 1a
function [U]=grav_pot_point(x,xm,m,G) %defining gravity potential function
r_norm=norm(x-xm); %simply using formula
U=(G*m)./r_norm;
end
%these will be used in other parts of the code
|
github | q-omar/gravity_anomalies-master | grav_eff_point.m | .m | gravity_anomalies-master/matlab_implementation/grav_eff_point.m | 369 | utf_8 | d201104f25cc68482ed0caa23d8be8d7 | %GOPH 547-Gravity and Magnetics (W2017)
%Safian Omar Qureshi
%ID: 10086638
%TA: Ye Sun
%% Question 1b
function [gz]=grav_eff_point(x,xm,m,G) %defining gravity effect function
r_norm=norm(x-xm); %simply using formula
r3=r_norm^3;
dz=(x(3)-xm(3));
gz=(G*m*dz)/r3;
end
... |
github | xiaosonghe/DynamicFunctionalConnectivity-master | S4ModularityMeasures.m | .m | DynamicFunctionalConnectivity-master/S4ModularityMeasures.m | 1,059 | utf_8 | 28d9089e18e0b75bb522eb263277638c | % Calculating MA, Flexibility, LI, P, Z, FCw and FCb
clear all;
sbj=importdata('E:\VerbGeneration_network\sbj.txt');
System=[1;1;1;2;2;2;2;2;3;3;3;4;4;4;4;4];% Define System for LI and I, R calculation
parfor t=1:length(sbj)
X=load(['E:\VerbGeneration_network\6CommunityMatrix\' sbj{t} '.mat']);
pathD=['... |
github | xiaosonghe/DynamicFunctionalConnectivity-master | S6NullModelMeasures.m | .m | DynamicFunctionalConnectivity-master/S6NullModelMeasures.m | 1,889 | utf_8 | fae0f8439cbcaffb12cfb602dd83c24a | % Calculating Flexibility and MA
clear all;
sbj=importdata('E:\VerbGeneration_network\sbj.txt');
System=[1;1;1;2;2;2;2;2;3;3;3;4;4;4;4;4];% Define System for LI and I, R calculation
parfor t=1:length(sbj)
x=load(['E:\VerbGeneration_network\8RandomCommunity\' sbj{t} '.mat']);
pathD=['E:\VerbGeneration_ne... |
github | xiaosonghe/DynamicFunctionalConnectivity-master | S5RandomCommunity.m | .m | DynamicFunctionalConnectivity-master/S5RandomCommunity.m | 4,936 | utf_8 | 6d95f5a97f8291e0a715e8fe46fd2dbb | % Generating Null Models
clear all;
sbj=importdata('E:\VerbGeneration_network\sbj.txt');
gamma = 1; omega = 0.4; % Based on Chai et al 2016 CC
parfor t=1:length(sbj)
X=load(['E:\VerbGeneration_network\5tDecomposedSignals\' sbj{t} '.mat'],'D2');
pathD=['E:\VerbGeneration_network\8RandomCommunity\' sbj{... |
github | xiaosonghe/DynamicFunctionalConnectivity-master | S2ROISignalExtract.m | .m | DynamicFunctionalConnectivity-master/S2ROISignalExtract.m | 816 | utf_8 | b4aa37c89259eabb7055f0f84f518721 | % Extract ROI Signal
% Order: LIFGorb, LIFG, LMFG, LAT, LMAT, LMPT, LPT, LAG, RIFGorb, RIFG, RMFG, RAT, RMAT, RMPT, RPT, RAG
clear all;
sbj=importdata('E:\VerbGeneration_network\sbj.txt');
parfor i=1:length(sbj)
roi_filest = spm_get('files',['E:\VerbGeneration_network\4IndividualROIs\' sbj{i}],'*roi.mat');
... |
github | xiaosonghe/DynamicFunctionalConnectivity-master | S3CommunityMatrix.m | .m | DynamicFunctionalConnectivity-master/S3CommunityMatrix.m | 2,321 | utf_8 | 06bb3a5eb523023ff2e1fbfb87078632 | % Generate the community assignments matrix
clear all;
sbj=importdata('E:\VerbGeneration_network\sbj.txt');
gamma = 1; omega = 0.4; % Based on Chai et al 2016 CC
parfor t=1:length(sbj)
X=load(['E:\VerbGeneration_network\5tDecomposedSignals\' sbj{t} '.mat'],'D2');
pathD=['E:\VerbGeneration_network\6Commu... |
github | Erin-H/Activity-Recognition-master | LDA.m | .m | Activity-Recognition-master/LDA.m | 8,682 | utf_8 | 6fa50a0b489e557f036d16d4122c282d | function [eigvector, eigvalue] = LDA(gnd,options,data)
% LDA: Linear Discriminant Analysis
%
% [eigvector, eigvalue] = LDA(gnd, options, data)
%
% Input:
% data - Data matrix. Each row vector of fea is a data point.
% gnd - Colunm vector of the label information... |
github | melaniafilosa/ray-mapping-fresnel-lens-master | mc_raytracing.m | .m | ray-mapping-fresnel-lens-master/mc_raytracing.m | 3,123 | utf_8 | 767c6a36c4ffed235827ccde07dc7265 | % This function computes the ray tracing given the position and the
% direction of the ray and the optical system
function [zout, thetaout,last_surface] = ...
mc_raytracing(surfaces, z , tau, variables)
graf = 0;
a = 2;
k = -1;
% (x,z) = coordinates of the initial position
ray.x = surfaces(1).x(1);
ray... |
github | melaniafilosa/ray-mapping-fresnel-lens-master | bisection_method.m | .m | ray-mapping-fresnel-lens-master/bisection_method.m | 2,217 | utf_8 | 7b0f651017dede5a9b1f9528a7c54b28 | % This function uses the bisection method top find the rays with
% the same number of reflections of A
function [C1, targetC1,pathC1, C2, targetC2, pathC2] = ...
bisection_method(A, B, targetA,targetB, pathA, surfaces, ...
action, variables)
%pathA = [pathA, A.surface]; ... |
github | melaniafilosa/ray-mapping-fresnel-lens-master | reflect.m | .m | ray-mapping-fresnel-lens-master/reflect.m | 1,118 | utf_8 | 8c88c4d9eac2b5335667033ce177209b | % This function computes the direction of the reflected ray
function [ray] = reflect(ray, surface, k)
% Compute the normal to the surface "cup"
h = 5;
l = 10;
d = 0.5;
r = sqrt((l-d)^2+h^2);
if(k==2|| k==3)
n = 1.5;
L = r + n*d;
A = (1-n^2);
B = 2*n*(n*l-L);
C = ray.z^2-... |
github | melaniafilosa/ray-mapping-fresnel-lens-master | ellipse_intersection.m | .m | ray-mapping-fresnel-lens-master/ellipse_intersection.m | 3,981 | utf_8 | 8cc25ad3977848522ba6a5bc7cb55191 | % This function computes the intersection between the ray and the ellips
% with axis a and b where a<b
function [xn,zn, s, valid] = ellipse_intersection(ray, surface, variables)
graph = 0;
s = 0;
% Plot the ray on the surface
if graph
% figure(7)
% hold on
% plot(ray.x, ray.z , ' * y')
end
valid = 0;
% Parameters o... |
github | melaniafilosa/ray-mapping-fresnel-lens-master | mc_fill_vector.m | .m | ray-mapping-fresnel-lens-master/mc_fill_vector.m | 378 | utf_8 | 2d8d00d168ede3e8206caf25b29befb5 | % This function fills in a vector all the rays informations
function mc_fill_vector(z,t,zout,tout,path, energy)
global mc_vector
mc_vector.zin = [mc_vector.zin; z];
mc_vector.zout = [mc_vector.zout; zout];
mc_vector.tauin = [mc_vector.tauin; t];
mc_vector.tauout = [mc_vector.tauout; tout];
mc_vector.path = [mc_vector... |
github | melaniafilosa/ray-mapping-fresnel-lens-master | Create_variables.m | .m | ray-mapping-fresnel-lens-master/Create_variables.m | 336 | utf_8 | 4910a5170d3f14ced4636ff1d69acc59 |
% This function defines the parameters that caracterize the equation of the Lens
function [variables] = Create_variables();
variables.h = 5;
variables.l = 10;
variables.d = 0.5;
variables.r = sqrt((variables.l-variables.d)^2+variables.h^2);
% index of refraction
variables.n = 1.5;
variables.L = variables.r + variable... |
github | melaniafilosa/ray-mapping-fresnel-lens-master | ellipse_intersection1.m | .m | ray-mapping-fresnel-lens-master/ellipse_intersection1.m | 3,651 | utf_8 | abd742c8b3c1d132b3ecaae306b33491 | % This function computes the intersection between the ray and the ellips
% with axis a and b where a<b
function [xn,zn, s, valid] = ellipse_intersection1(ray, surface)
graph = 0;
s = 0;
% Plot the ray on the surface
if graph
% figure(7)
% hold on
% plot(ray.x, ray.z , ' * y')
end
valid = 0;
h = 5;
l = 10;
d = 0.5;
... |
github | melaniafilosa/ray-mapping-fresnel-lens-master | mc_fill_vector1.m | .m | ray-mapping-fresnel-lens-master/mc_fill_vector1.m | 394 | utf_8 | c49df8c084ffa9eb34d2c981a9e0b8cc | % This function fills in a vector all the rays informations
function mc_fill_vector1(z,t,zout,tout,path, energy)
global mc_vector1
mc_vector1.zin = [mc_vector1.zin; z];
mc_vector1.zout = [mc_vector1.zout; zout];
mc_vector1.tauin = [mc_vector1.tauin; t];
mc_vector1.tauout = [mc_vector1.tauout; tout];
mc_vector1.path =... |
github | melaniafilosa/ray-mapping-fresnel-lens-master | interpolation.m | .m | ray-mapping-fresnel-lens-master/interpolation.m | 2,038 | utf_8 | 272c270078518ec9c56ea1c9ab3f1a3a | % This function does an interpolation between targetA and targetB
function intensity = interpolation(intensity, targetA, targetB, ....
pathA, A, B,variables, surfaces, action)
for z = targetA.z+0.01:(targetB.z-targetA.z-0.02)/500:targetB.z-0.01
% trace the rays with z coordinate... |
github | melaniafilosa/ray-mapping-fresnel-lens-master | raytracing.m | .m | ray-mapping-fresnel-lens-master/raytracing.m | 1,732 | utf_8 | b6f87e6f0594e92f7ee3dc34feca39f9 | % This function computes the ray tracing given the position and the
% direction of the ray and the optical system
function [reflected, transmitted, R, T] = ...
raytracing(ray, surfaces, variables)
k = -1;
x0 = ray.x;
z0 = ray.z;
% (x,z) = coordinates of the initial position
% ray.x = surfaces(4).x(1);
%... |
github | melaniafilosa/ray-mapping-fresnel-lens-master | intensity_computation.m | .m | ray-mapping-fresnel-lens-master/intensity_computation.m | 6,646 | utf_8 | a76e39fb7277d62f8e82866962e15983 | % This function computes the intensity at the target
% along a given direction it considers
function intensity = intensity_computation(A, B, targetA, targetB,...
pathA,pathB,surfaces, action, variables,...
intensity)
max_number_of... |
github | melaniafilosa/ray-mapping-fresnel-lens-master | new_distances.m | .m | ray-mapping-fresnel-lens-master/new_distances.m | 1,347 | utf_8 | 4829f3d1201529d0a875fd2764111c1e | % This functions calculates the number of the
% next surface that the ray hit
function [k] = new_distances(xn,zn,ray,s,valid)
N=length(xn);
% d = vector with the distances between the ray
% and all the intersection points of the ray
% with the optical lines
d = sqrt((xn-ray.x).^2+(zn-ray.z).^2);
... |
github | melaniafilosa/ray-mapping-fresnel-lens-master | distances.m | .m | ray-mapping-fresnel-lens-master/distances.m | 1,841 | utf_8 | ea49434cacd67c7297546090b45388d3 | % This function computes the distances between the initial position of
% the ray and all crossing points of the ray with the 10 surfaces of the
% TIR-collimator.
% It also computes the minimal distance
% (without considering distances = 0 and negative directions)
% Meaning of the most important variables
% d(t) = dis... |
github | melaniafilosa/ray-mapping-fresnel-lens-master | line_intersection.m | .m | ray-mapping-fresnel-lens-master/line_intersection.m | 1,047 | utf_8 | 7e92fa1a4d5db606d99367f88076f9a6 | % This function compute the intersection point between the source and the
% rays
% s = parameter for the ray parameterization
% (x,z) = coordinates of the initial point
% theta = initial angle with respect to the normal of the surface
% xn = x- s*sin(theta) := x-coordinate of the intersection point
% zn = z+ s*c... |
github | hsun2022/CrowdComputing-master | crowd_model.m | .m | CrowdComputing-master/seek-plus/crowd_model.m | 1,678 | utf_8 | bc956c57d0029eb0368c986c92744497 | function model = crowd_model(L,varargin)
%%parameters....
Ntask =size(L,1);
Nwork=size(L,2);
%neiborhods
NeibTask = cell(1,Ntask);
for task_j = 1:Ntask
NeibTask{task_j} = find(L(task_j,:));
end
NeibWork = cell(Nwork,1);
for work_i = 1:Nwork
NeibWork{work_i} = find(L(:,work_i))';
end
model=init_model();
Labe... |
github | hsun2022/CrowdComputing-master | L_simulation_noNoise.m | .m | CrowdComputing-master/seek-plus/L_simulation_noNoise.m | 994 | utf_8 | f24a6a31d78cb2b78138be45ee2fde8a | function [L,groundtruth] = L_simulation_noNoise(Ntask,Nworker,Ndom,Redun,ndom)
p0 = 0.05;
p1 = 0.75;
%prop = 0.5;
groundtruth = zeros(1,Ntask);
L = zeros(Ntask,Nworker);
for task_j = 1:Ntask
labelSet = randperm(Ndom,ndom);
groundtruth(task_j) = randsrc(1,1,labelSet);
prob = zeros(1,ndom);
for k = 1:ndo... |
github | hsun2022/CrowdComputing-master | SEEK_lnr_norm_semi.m | .m | CrowdComputing-master/seek-plus/SEEK_lnr_norm_semi.m | 7,277 | utf_8 | 800a43c9f98e78f632f301e31ef7c729 | function result = SEEK_lnr_norm_semi(model, KnowledgeMatrix,groundTruthFlag)
maxIter = 20;
TOL = 1e-6;
global L NeibTask NeibWork LabelDomain Relation Ntask Nwork Ndom LabelTask LabelWork LjDomain groundTruth Flag bias
Ntask = model.Ntask;
Nwork = model.Nwork;
Ndom = model.Ndom;
NeibTask = model.NeibTask;
NeibWork = ... |
github | shuangshuangguo/dense_flow-master | extractOpticalFlow_gpu.m | .m | dense_flow-master/matlab/extractOpticalFlow_gpu.m | 1,645 | utf_8 | e184fc7aad7743036e394d6b08ba37f9 |
function [] = extractOpticalFlow_gpu(index, device_id, type)
% path1 = '/nfs/lmwang/lmwang/Data/UCF101/ucf101_org/';
% if type ==0
% path2 = '/media/sdb/lmwang/data/UCF101/ucf101_flow_img_farn_gpu_step_2/';
% elseif type ==1
% path2 = '/media/sdb/lmwang/data/UCF101/ucf101_flow_img_tvl1_gpu_step_2/';
% else
% ... |
github | shuangshuangguo/dense_flow-master | extracOpticalFlow.m | .m | dense_flow-master/matlab/extracOpticalFlow.m | 1,034 | utf_8 | 87c098785c996cfa862cd7e84742994e |
function [] = extracOpticalFlow(index)
path1 = '/home/lmwang/data/UCF/ucf101_org/';
path2 = '/home/lmwang/data/UCF/ucf101_warp_flow_img/';
folderlist = dir(path1);
foldername = {folderlist(:).name};
foldername = setdiff(foldername,{'.','..'});
for i = index
if ~exist([path2,foldername{i}],'dir')
mkdir([p... |
github | shuangshuangguo/dense_flow-master | extractOpticalFlow.m | .m | dense_flow-master/matlab/extractOpticalFlow.m | 1,042 | utf_8 | e73edca68bee408e232e58e19e2aae1b |
function [] = extractOpticalFlow(index)
path1 = '/nfs/lmwang/lmwang/Data/UCF101/ucf101_org/';
path2 = '/media/sdb/lmwang/data/UCF101/ucf101_flow_img_TV/';
folderlist = dir(path1);
foldername = {folderlist(:).name};
foldername = setdiff(foldername,{'.','..'});
for i = index
if ~exist([path2,foldername{i}],'dir')
... |
github | Reasat/cr-comp-master | gen_PU_PSK.m | .m | cr-comp-master/channel_allocation_scheduling/gen_PU_PSK.m | 2,764 | utf_8 | b1bb1d3a1b9bc90924170e535d1df534 | % initial sample of transmitted signal is assumed zero but pu tx state is
% assumed busy, fix it later
function [ch_tx,t_ch, pu_state]=gen_PU_PSK(T,lambda,Fs,M,hpsk)
%% Creating PU activity
Ts=1/Fs;
old = digits(3); % specify number of significant decimal digits
Ts=double(vpa(Ts));
digits(old);%Restore the defau... |
github | PianoDan/TDP-master | TempoAvg.m | .m | TDP-master/TempoAvg.m | 7,164 | utf_8 | 089ba8ab4b3365c3c6a8896556e102e3 | function varargout = TempoAvg(varargin)
% TEMPOAVG MATLAB code for TempoAvg.fig
% TEMPOAVG, by itself, creates a new TEMPOAVG or raises the existing
% singleton*.
%
% H = TEMPOAVG returns the handle to a new TEMPOAVG or the handle to
% the existing singleton*.
%
% TEMPOAVG('CALLBACK',hObject,ev... |
github | PianoDan/TDP-master | TDPPlot.m | .m | TDP-master/TDPPlot.m | 8,860 | utf_8 | 4f515dcaccab2050037da3818dcd5f87 | function varargout = TDPPlot(varargin)
% TDPPLOT MATLAB code for TDPPlot.fig
% TDPPLOT, by itself, creates a new TDPPLOT or raises the existing
% singleton*.
%
% H = TDPPLOT returns the handle to a new TDPPLOT or the handle to
% the existing singleton*.
%
% TDPPLOT('CALLBACK',hObject,eventData,... |
github | PianoDan/TDP-master | SubjectAvg.m | .m | TDP-master/SubjectAvg.m | 7,407 | utf_8 | ac10cb4c905651c4816c4a0271313751 | function varargout = SubjectAvg(varargin)
% SubjectAvg MATLAB code for SubjectAvg.fig
% SubjectAvg, by itself, creates a new SubjectAvg or raises the existing
% singleton*.
%
% H = SubjectAvg returns the handle to a new SubjectAvg or the handle to
% the existing singleton*.
%
% SubjectAvg('CALL... |
github | Jeffrey28/PlatoonBased-AIM-master | OccupancyGrid.m | .m | PlatoonBased-AIM-master/Matlab2/OccupancyGrid.m | 54,073 | utf_8 | 48a2d107b354fe119551901e2740db99 | classdef (Sealed)OccupancyGrid <OccupancyGridBase
%OCCUPANCYGRID Create an occupancy grid
% OCCUPANCYGRID creates a 2D occupancy grid map. Each cell has
% a value representing the probability of occupancy of that cell.
% Probability values close to 1 represent certainty that the workspace
% ... |
github | Jeffrey28/PlatoonBased-AIM-master | AIM_Optimal.m | .m | PlatoonBased-AIM-master/Matlab2/AIM_Optimal.m | 13,139 | utf_8 | bd8a3a8dbf63c5717afdaf44da5e5b26 | function [F,callCounter,packets,var,AverageDelayPerVehicle,AverageDelayPerPlatoon,totalVehicles,totalVehiclesCrossed] = AIM_Optimal(policyName,ver,seed,granularity,platoonMaxSize,spawnRate,duration,simSpeed,handles)
tic;
rng(seed);
packetsFromPlatoons = 0;
packetsToPlatoons = 0;
%Get Map, Show Map
intersectionData = in... |
github | Jeffrey28/PlatoonBased-AIM-master | intersection.m | .m | PlatoonBased-AIM-master/Matlab2/intersection.m | 6,087 | utf_8 | c8d83f6e75ff575d165c9f3adf6d0cb6 | classdef intersection < handle
properties(SetAccess = private)
granularity;
lineWidth;
lanePerRoad;
end
properties(SetAccess = public)
spawnPoints = [20 195 0;%for Lane 1
205 20 pi/2;%for Lane 2
380 205 pi;%for La... |
github | Jeffrey28/PlatoonBased-AIM-master | simulator.m | .m | PlatoonBased-AIM-master/Matlab2/simulator.m | 27,407 | utf_8 | cf0a2074baee1fc10130713ee54d1d6e | function varargout = simulator(varargin)
% SIMULATOR MATLAB code for simulator.fig
%%
%%
% SIMULATOR, by itself, creates a new SIMULATOR or raises the existing
% singleton*.
%
% H = SIMULATOR returns the handle to a new SIMULATOR or the handle to
% the existing singleton*.
%
% SIMULATOR('CALL... |
github | Jeffrey28/PlatoonBased-AIM-master | OccupancyGrid.m | .m | PlatoonBased-AIM-master/Matlab/OccupancyGrid.m | 54,073 | utf_8 | 48a2d107b354fe119551901e2740db99 | classdef (Sealed)OccupancyGrid <OccupancyGridBase
%OCCUPANCYGRID Create an occupancy grid
% OCCUPANCYGRID creates a 2D occupancy grid map. Each cell has
% a value representing the probability of occupancy of that cell.
% Probability values close to 1 represent certainty that the workspace
% ... |
github | Jeffrey28/PlatoonBased-AIM-master | AIM_Optimal.m | .m | PlatoonBased-AIM-master/Matlab/AIM_Optimal.m | 13,184 | utf_8 | 288e2c22a0200535ab23bf32c3793c77 | function [delays,callCounter,packets,var,AverageDelayPerVehicle,AverageDelayPerPlatoon,totalVehicles,totalVehiclesCrossed] = AIM_Optimal(bal,seed,granularity,platoonMaxSize,spawnRate,duration,simSpeed,handles)
tic;
ver=2;
rng(seed);
packetsFromPlatoons = 0;
packetsToPlatoons = 0;
%Get Map, Show Map
intersectionData = i... |
github | Jeffrey28/PlatoonBased-AIM-master | intersection.m | .m | PlatoonBased-AIM-master/Matlab/intersection.m | 6,087 | utf_8 | c8d83f6e75ff575d165c9f3adf6d0cb6 | classdef intersection < handle
properties(SetAccess = private)
granularity;
lineWidth;
lanePerRoad;
end
properties(SetAccess = public)
spawnPoints = [20 195 0;%for Lane 1
205 20 pi/2;%for Lane 2
380 205 pi;%for La... |
github | Jeffrey28/PlatoonBased-AIM-master | simulator.m | .m | PlatoonBased-AIM-master/Matlab/simulator.m | 28,773 | utf_8 | 8ac19883ed2c0563a0e03fa0f0535b83 | function varargout = simulator(varargin)
% SIMULATOR MATLAB code for simulator.fig
%%
%%
% SIMULATOR, by itself, creates a new SIMULATOR or raises the existing
% singleton*.
%
% H = SIMULATOR returns the handle to a new SIMULATOR or the handle to
% the existing singleton*.
%
% SIMULATOR('CALL... |
github | felipe-vrgs/QuadMat-master | PID.m | .m | QuadMat-master/src/PID.m | 2,558 | utf_8 | 3f3b4dc3905901015e37226434bbfb47 | % PID: Aplicação de PID
%
% @param Gains Os ganhos [kp ki kd]
% @param x Vetor de esp est
% @param SetPoint Ponto que queremos chegar
% @param Ref Qual malha está sendo controlada
% @param t Passo de tempo atual
%
% @return U Esforço de controle
%
function [U] =... |
github | felipe-vrgs/QuadMat-master | PlotDrone.m | .m | QuadMat-master/src/PlotDrone.m | 8,620 | utf_8 | f33f1fc20471e03c83cbb487034015d9 | % PlotDrone: Funão que realiza a plotagem dos gráficos.
%
% @param t Tempo
% @param X X
% @param ty Tipo do gráfico
%
% @return graphs !
%
function PlotDrone(t,X,ty)
% Verifica qual é o tipo e redireciona para a função correta
% Não vou entrar muito em detalhes nesse arquivo tendo ... |
github | felipe-vrgs/QuadMat-master | Fitness.m | .m | QuadMat-master/src/Fitness.m | 1,564 | utf_8 | b6c06b639c3ac9425948e088bb14c101 | % Fitness: function description
%
% @param target Quem será controlado
% @param gains Os ganhos do PID
% @param setpoint O SetPoint
%
% @return O fitness
%
function fit = Fitness(target, gains, setpoint, p)
if nargin == 3
p = 0;
end
global err_int;
%{
Apesar do código estar... |
github | felipe-vrgs/QuadMat-master | cacm.m | .m | QuadMat-master/src/cacm.m | 3,926 | utf_8 | 1c3f4d672c3c3d9f50124b348ded3773 | % CACM: function description
%
% @param target Quem será controlado
% @param gains Os ganhos do PID
% @param setpoint O SetPoint
%
% @return O CACM
%
function CACM()
% CACM
global divisoes numSim z_val zdot_val x1ini x1fim x1divs x2ini x2fim x2divs x1delta x2delta numCores CodigoCores... |
github | felipe-vrgs/QuadMat-master | magnifyOnFigure.m | .m | QuadMat-master/src/magnifyOnFigure.m | 97,117 | utf_8 | 602ece8d29b1a3fea8602b011364b137 | % NAME: magnifyOnFigure
%
% AUTHOR: David Fernandez Prim (david.fernandez.prim@gmail.com)
%
% PURPOSE: Shows a functional zoom tool, suitable for publishing of zoomed
% images and 2D plots
%
% INPUT ARGUMENTS:
% figureHandle [double 1x1]: graphic handle of the target figure
% axesH... |
github | medooze/swig-master | member_pointer_runme.m | .m | swig-master/Examples/test-suite/octave/member_pointer_runme.m | 922 | utf_8 | 5d65cb03abdda4efc4dd89ee739e27b6 | # Example using pointers to member functions
member_pointer
function check(what,expected,actual)
if (expected != actual)
error ("Failed: %s, Expected: %f, Actual: %f",what,expected,actual);
endif
end
# Get the pointers
area_pt = areapt;
perim_pt = perimeterpt;
# Create some objects
s = Square(10);
# Do s... |
github | medooze/swig-master | director_basic_runme.m | .m | swig-master/Examples/test-suite/octave/director_basic_runme.m | 1,778 | utf_8 | 7cc0b3cfcf243842955e597f2f9889f2 | director_basic
function self=OctFoo()
global director_basic;
self=subclass(director_basic.Foo());
self.ping=@OctFoo_ping;
end
function string=OctFoo_ping(self)
string="OctFoo::ping()";
end
a = OctFoo();
if (!strcmp(a.ping(),"OctFoo::ping()"))
error(a.ping())
endif
if (!strcmp(a.pong(),"Foo::pong();OctFoo... |
github | medooze/swig-master | director_string_runme.m | .m | swig-master/Examples/test-suite/octave/director_string_runme.m | 566 | utf_8 | d0a720bc282afbf1ac33203b567084f3 | # do not dump Octave core
if exist("crash_dumps_octave_core", "builtin")
crash_dumps_octave_core(0);
endif
director_string
function out=get_first(self)
out = strcat(self.A.get_first()," world!");
end
function process_text(self,string)
self.A.process_text(string);
self.smem = "hello";
end
B=@(string) subclass... |
github | medooze/swig-master | overload_null_runme.m | .m | swig-master/Examples/test-suite/octave/overload_null_runme.m | 945 | utf_8 | 96d0d2a599a578a152484af795a6992b | # do not dump Octave core
if exist("crash_dumps_octave_core", "builtin")
crash_dumps_octave_core(0);
endif
overload_null
function check(a, b)
if (a != b)
error("%i does not equal %i", a, b);
endif
end
o = Overload();
x = X();
null = []; # NULL pointer
check(1, o.byval1(x));
check(2, o.byval1(null));
chec... |
github | medooze/swig-master | li_boost_shared_ptr_runme.m | .m | swig-master/Examples/test-suite/octave/li_boost_shared_ptr_runme.m | 15,667 | utf_8 | 4ba4347214279b5ab96617f27384b547 | # do not dump Octave core
if exist("crash_dumps_octave_core", "builtin")
crash_dumps_octave_core(0);
endif
1;
li_boost_shared_ptr;
function verifyValue(expected, got)
if (expected ~= got)
error("verify value failed.");% Expected: ", expected, " Got: ", got)
end
endfunction
function verifyCount(expect... |
github | medooze/swig-master | voidtest_runme.m | .m | swig-master/Examples/test-suite/octave/voidtest_runme.m | 632 | utf_8 | 8328758f24f7f57e3360e2e34ffae9c7 | # do not dump Octave core
if exist("crash_dumps_octave_core", "builtin")
crash_dumps_octave_core(0);
endif
voidtest
voidtest.globalfunc();
f = voidtest.Foo();
f.memberfunc();
voidtest.Foo_staticmemberfunc();
function fvoid()
end
try
a = f.memberfunc();
catch
end_try_catch
try
a = fvoid();
catch
end_try_catch... |
github | medooze/swig-master | director_detect_runme.m | .m | swig-master/Examples/test-suite/octave/director_detect_runme.m | 654 | utf_8 | b67110f81021223aa13bcfcf1a6db401 | director_detect
global MyBar=@(val=2) subclass(director_detect.Bar(),'val',val,@get_value,@get_class,@just_do_it,@clone);
function val=get_value(self)
self.val = self.val + 1;
val = self.val;
end
function ptr=get_class(self)
global director_detect;
self.val = self.val + 1;
ptr=director_detect.A();
end
... |
github | medooze/swig-master | preproc_constants_runme.m | .m | swig-master/Examples/test-suite/octave/preproc_constants_runme.m | 533 | utf_8 | 917a1bdadc03d5ce92d7468e9c4c81b2 | preproc_constants
assert(CONST_INT1, 10)
assert(CONST_DOUBLE3, 12.3)
assert(CONST_BOOL1, true)
assert(CONST_CHAR, 'x')
assert(CONST_STRING1, "const string")
# Test global constants can be seen within functions
function test_global()
global CONST_INT1
global CONST_DOUBLE3
global CONST_BOOL1
global CO... |
github | medooze/swig-master | director_classic_runme.m | .m | swig-master/Examples/test-suite/octave/director_classic_runme.m | 2,521 | utf_8 | 34c0a5c2bef2aca0089be422d83e3982 | # do not dump Octave core
if exist("crash_dumps_octave_core", "builtin")
crash_dumps_octave_core(0);
endif
director_classic
TargetLangPerson=@() subclass(Person(),'id',@(self) "TargetLangPerson");
TargetLangChild=@() subclass(Child(),'id',@(self) "TargetLangChild");
TargetLangGrandChild=@() subclass(GrandChild(),'i... |
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