text stringlengths 8 6.12M |
|---|
function [hdr, data] = datread(filename, channels)
fid = fopen(filename, 'r');
header_length = fread(fid, 1, 'int16=>int16');
jsonraw = fread(fid, header_length, 'char=>char');
hdr = jsondecode(jsonraw);
if nargin < 2 || isempty(channels)
channels = 1:length(hdr.labels);
end
if isa(channels, 'double')... |
%%Testing the animate function with different initial conditions here:
clc;
clear;
clf;
close all;
q0 = [pi/6;-pi/3;-pi/10];
dq0 = [0;0;10];
num_steps = 10;
sln = solve_eqns(q0,dq0,num_steps);
animate(sln);
|
function add_entry_log(message,value)
%ADD_ENTRY_LOG adds a message, a descriptor and writes a log
if exist('../outputFigures/log_results.mat')
load('../outputFigures/log_results.mat');
%Get length of the log
record_number=size(log_results,1);
else
log_results={};
record_number=0;
end
log_re... |
% ---------------------------%
% Código para o trabalho 3 1 %
% ------------------------- %
close all
clc
clear
[ha, pos] = tight_subplot(9,3,[.01 .03],[.1 .01],[.01 .01]);
filtros = {'average','disk','gaussian', 'laplacian', 'log','motion','prewitt','sobel'};
imagesNames = {'berlindes','floresFruta','fruta zoom'};... |
%DEMO_BESSELWAVE_FIGS Bessel wave system is solved as a two-parameter
% eigenvalue problem with Chebyshev collocation and eigenmodes are plotted
%
% This example reconstructs eigenmodes in
% Lew Yan Voon & Willatzen, Helmholtz equation in parabolic rotational
% coordinates: application to wave problems in quantum m... |
con = [c1;c2;c3;c4;c5;c6;c7;c8;c9;c10];
con2 = zeros(1,19)
for i=1:size(con,1)
con2(con(i,1)) = con2(con(i,1))+1;
end
[out,idx] = sort(con2,2,'descend')
%3,6,11,12,8 |
clear all, close all
N = 200;
x = 10*(rand(N, 1)-.5);
x = sort(x);
y = sinc(x) + randn(N, 1)*.1;
S = {};
for i = 1:length(x)
dnew = [x(i) y(i)]; thres = .01; N = 15; kernel_pars = [.4, .2];
[S, update, ix_update] = incr_online_sparsification(dnew, thres, N, kernel_pars, S, 0);
end
hyp = log([.4, 1, .1]);
options... |
%% all two-prime sums
ps = primes(100);
n_ps = length(ps);
sums = [];
for ii = 1:n_ps
for jj = (ii+1):n_ps
sums(end+1) = ps(ii) + ps(jj);
end
end
%%
all_sums = 4:1:198;
sums_dedup = unique(sums);
sums_dedup = [sums_dedup, 199];
% find jumps in sums_dedup
diff_sums_dedup = diff(sums_dedup)... |
function [xFullData, yFullData, xFit, yFit, xIsoResponseContrast, yIsoResponseContrast, ...
phaseDegs, peakModulation, baserate] = ...
fitCosineToLMplaneResponses(LMresponseMagnitude, LMangles, isoResponseLevelPercentOfMax)
x = LMresponseMagnitude .* cosd(LMangles(:));
y = LMresponseMagnitude .* sind(L... |
function A4_Gain_Matrix
% Subtract Bias (Offset, which can be different for various blocks/sessies
% This removes noise (artificial variation when data is combined, e.g. in
% one set you start from +10 and another time you start at +3, when
% combining sets, the responses will be distributed largely. But when the... |
% --------------------Hirerichal Clustering ERP data ------------------
% The ERP data has well structure for clustering time sammples and
% channnels 500x58 we applied Matlab clustering function on this dataset
function [H_ERP]=Hierarchical_GAERP(x,k)
% x is grand average data e.g. 4800 (observation )x30 (fea... |
function [ SpectralCrestVec ] = SpectralCrest(samples, blockSize, hopSize )
%This function calculates the Spectral Crest for each block and returns
%a row vector.
L = length(samples);
n = 1;
SpectralCrestVec = [];
index = [];
for n=1:hopSize:L-blockSize
currentBlock = samples(n:n+blockSize-1);
fftCurre... |
function plotISegment(p, i, j, map)
% plot the jth segment from a segmented point-set
% INPUT:
% p: segmented point-set; columns 1:3 correspond to point coordinates
% column 4 corresponds to the label; size is N x 4
% j: index to the segment to be plotted
% i: index of the point in p
max_index = max(p(:,... |
function pc = Find_Landings_MultipleFrameIntervals(InputTrace,MultipleFrameIntervals,UpThreshold,DownThreshold,MinUpFrames,MinDownFrames)
%
%function Find_Landings_MultipleFrameIntervals((InputTrace,MultipleFrameIntervals,UpThreshold,DownThreshold,MinUpFrames,MinDownFrames)
%
% Will delineate high and low intervals in ... |
function [target, R0, t0 , error]= align(iter, source, ts, tole)
numP = size(source,1);
R0 = eye(size(source,2));
t0 = zeros(1,size(source,2));
target = ts;
for i = 1 : iter
p = selectSubsetFromSource(source, numP);
q = findCloestPairs(p, target);
... |
function [phis, cdf, phiplot, cdfplot] = samplecdf(thetas, resolution)
% [phis, cdf, phiplot, cdfplot] = circ.samplecdf(thetas, resolution)
%
% Helper function for circ.kuipertest.
% Evaluates CDF of sample in thetas.
%
% Input:
% thetas sample (in radians)
% resolution resolution at which the... |
function [bool]=verificacionSalSIL(x,y)
[x1 y1 x2 y2 x3 y3]=cteSalSIL;
bool=triangulo(x1,y1,x2,y2,x3,y3,x,y);
end
|
%% Creating C++ Shared Libraries and DLLs
% Guest blogger
% <http://www.mathworks.com/matlabcentral/fileexchange/authors/4660 Peter Webb>
% returns with another in an
% <http://blogs.mathworks.com/loren/category/deployment/ occasional series>
% of postings about application deployment.
%%
% A previous post demons... |
function index_subnet = gen_subnetwork(G,k);
%input G = adjacent matrix representing network;
%k = size of subnetwork ( number of nodes in subnetwork)
%G = [1,0,0,0,0,1,1,0;0,0,0,0,0,1,1,0;0,0,0,0,0,1,1,0;0,0,0,0,0,1,1,0;0,0,0,0,0,1,1,0;1,1,1,1,1,1,1,1;1,1,1,1,1,1,1,1;0,0,0,0,0,1,1,0;]
%G = [0,1,1,0,0,0; 1,0,0,0,0,1;1... |
alpha = 0;
cl = VarName4/(cos(alpha))^2;
projectionLength = 1;
% flowSpeed = 5.85e-2;
flowSpeed = 0.15*cos(alpha);
dt = 0.02;
% %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
time = Forcecoefficients; %%%%
relNums = cl; %%%% ... |
function visualize_point_process(data_matrix, vis_args)
if nargin < 2
vis_args = struct();
end
plot_data = [];
[num_streams, data_length, num_trials] = size(data_matrix);
for tidx = 1:num_trials
data_one = data_matrix(:, :, tidx);
data_pp = point_process2interval(data_one', 1);
for ppidx = 1:le... |
column = length(tr_x(1,:));
features = [];
warning('off','all');
training_total_accu = zeros(10,1);
test_total_accu = zeros(10,1);
for choices = 1:10
bestaccu = 0;
bestchoice = 0;
for i = 1:column
if sum(features == i) == 0
fc = [features,i];
b = glmfit(tr_x(:,fc),trainsurviv... |
function x=menounotriangsup(b)
n=length(b);
x=zeros(n,1);
x(n)=b(n);
sum=0;
for i=n-1:-1:1
x(i)=b(i)+x(i+1)+sum;
sum=x(i+1)+sum;
end
end |
function xor_example
% Toy example of the solution of the XOR problem using kernels and SVMs
addpath('../libsvm/'), addpath('../simpleR/'), rng(1);
C = 0.1; % Complexity parameter
sigma = 0.5; % Kernel parameter
c = [ 1 -1 -1 1 ; 1 -1 1 -1 ]; % Centers of the 4 clusters
% Generation of 400 datapoints
x = [ repma... |
function coeffMatrix = d2fdx2FiniteDifferencePeriodicMatrix(f,h,dim)
%D2FDX2FINITEDIFFERENCEPERIODICMATRIX finds the coeff matrix for the second finite difference on a periodic uniform grid.
% COEFFMATRIX = D2FDX2FINITEDIFFERENCEPERIODICMATRIX(F, H, DIM)
% Creates the coefficient matrix, COEFFMATRIX which is sparse, to... |
%Import data to table & format
T = readtable('Canada_CO2_Emissions_per_Capita.xlsx','Range','C51:D219');
header = {'Year','Canada CO2 Emissions per Capita'};
T.Properties.VariableNames = header;
%Create and fill the variables required
year = T{:,1};
emissions = T{:,2};
%Determine the training and test size
trainingSz =... |
clear
clc
prefix = '/home/pzhang/chen/move-bed/';
middle = 'test_move';
color = {'b*','k*','r*'};
for iii=1:3
for i = 1:84
name = strcat(prefix,middle,num2str(iii),'_',num2str(i,'%04d'),'.h5');
pos = h5read(name,'/Pposition');
nx = h5read(name,'/Nx');
ny = h5read(name,'/Ny');
Np = numel(pos)/6;
... |
function cps = energyflow_set(cpsin)
% ======================================================================
% Syntax: cps = energyflow(cpsin)
% Description: sets energy .w according to planned power .p and efficiency .eta in cps struct-array and resets planned power to zero
%
% IN: cpsin: structure array... |
function f = pow(x,n)
%Calcola x^n
z=x;
for i=2:n
z=z*x;
end
f=z;
end
|
function [D D_MOE Pop] = LoadCtyxCty(fname, FIPS)
N = size(FIPS,1);
D = zeros(N,N);
D_MOE = zeros(N,N);
Pop = NaN(N,1);
fid = fopen(fname,'r','n','ISO-8859-1');
l = fgetl(fid);
i = 0;
disp('Loading flow matrix...');
while ischar(l)
if (mod(i,1000)==0)
disp([' ' num2str(i/275829*100) '%...']);
end
... |
% imOut = GAUSSIANCONV(image_path, sigma_x, sigma_y)
%
% Convolves an image with a gaussian in the x and y direction.
% Uses the GAUSSIAN function to the create the gaussians and uses
% the CONV2 function to convolve the image with the 'same' parameter.
%
% The image is converted to a gray image.
%
% Parameters are:
% ... |
clear; clc; close all; plotDefaults; getPaths;
% if input('Clear previous runs?: ');
rmdir([rootPath '/stim/'],'s');
rmdir([rootPath '/log/'],'s');
rmdir([rootPath '/resp/'],'s');
rmdir([secondaryPath '/resp/'],'s');
rmdir([secondaryPath '/stim/'],'s');
mkdir([rootPath '/stim/']);
mkdir([ro... |
classdef PulseTrainRIB2 < FormatRIB2 & PulseTrain
% PulseTrainRIB2 < FormatRIB2 & PulseTrain
%
% Single-electrode pulse train class for MedEl devices, using RIB2 software.
%
% Triggering: There is the option to send a TTL trigger before each pulse,
% before first pulse, or to never send a trigger.
... |
syms x y(x)
eq=diff(y,3)-diff(y,2)/x;
y=dsolve(eq==0) |
NC=length(data);
Qdim=8;
dim=1;
D=24;
%obsTypes{1}.idx=[15,16];
%obsTypes{1}.dist='mvn';
obsTypes{1}.idx=[1:24];
obsTypes{1}.dist='poisson';
%obsTypes{2}.idx=9;
%obsTypes{2}.dist='gamma';
% obsTypes{1}.idx=13;
% obsTypes{1}.dist='gamma';
% obsTypes{2}.idx=14;
% obsTypes{2}.dist='normal';
model = mixHHMM(NC,Qdim,dim,D,... |
function guiVisualiseAnalysis(pts, face_Mask, nose_FaceMask, ...
prn_FaceMask, n_FaceMask, sn_FaceMask, lal_FaceMask, ral_FaceMask)
%Wizualizuje wyniki analizy obrazu twarzy.
hold on;
xlabel('x [mm]');
ylabel('y [mm]');
zlabel('z [mm]');
try
guiDraw3d( pts(~face_Mask,:), 1, 'k');
catch
end; ... |
function y = callback_active_contour(x, options)
% callback_active_contour - callback for conjugate gradient
%
% y = callback_active_contour(x, options);
%
% Copytight (c) 2007 Gabriel Peyre
% norm of gradient
dt = options.dt;
n = options.n;
d = options.d;
x = reshape(x,n,n);
y = divgrad( divgrad(x,options)./r... |
%% ========= test data analysis ======== %%
%% Initialization
clear ; close all; clc;
% Loading data for analyisis
fprintf('Reading train.csv ... \n');
[X, Xlab, y]=loadData;
%number of examples
m=size(X,1);
%number of features
nf = size(X,2);
%
id = X(:,1);
%
%y = [ raw{[2:m],mf} ];
%
%% plot a histogram of the price... |
%{
Description: The EM Algorithm
Inputs:
seg : The segmented image
img : The original corrupted image
mask : The background mask
k : The number of classes
mu : The class means
sigma: The class std devs
beta : The tunable penalty value
eps_EM : Specifies the stopping con... |
hold on;
plot(1.3,3.3,'Marker','h','MarkerEdgeColor','b','MarkerFaceColor','w','MarkerSize',13,'LineWidth',2)
plot(1.5,1.8,'Marker','h','MarkerEdgeColor','b','MarkerFaceColor','w','MarkerSize',13,'LineWidth',2)
plot(8.2,7.8,'Marker','h','MarkerEdgeColor','b','MarkerFaceColor','w','MarkerSize',13,'LineWidth',2)
% pl... |
function [analyses,params] = correlations_distance_count_2(analyses,params)
corr_edges = -1:0.2:1;
dist_edges = 0:50:500; %um
params.corr_edges = corr_edges;
params.dist_edges = dist_edges;
num_perm = 250;
normal = 'probability';
% upper_part = triu(ones(params.numROIs,params.numROIs),1);
% upper_part(upper_part==0) ... |
function y=rect(t)
y = ( sign(t+0.5) - sign(t-0.5) >0);
endfunction |
function xls_text()
CSV = { 'Subject', 'Sentence Order', 'Noun', 'Adjective', 'Stimulus File Name', 'Button press?', 'Reaction Time' };
CSV(size(CSV,1)+1,3) = { 'R'} ;
CSV(size(CSV,1),6) = {'yes for beginning of reverse' };
ix=cellfun('isempty',CSV);
CSV(ix)={' '};
%xlswrite(strcat('data_','.xls'),char(CSV)) %does no... |
%%%% mex -output Chemostat_gmam_mex gmam.c Chemostat.c Chemostat_gmam_mex.c
%% Model parameters
alpha1 = 2.0;
alpha2 = 3.0;
ey = 1e-3;
pars = [alpha1, alpha2, ey];
%% fixed points
xfp = alpha1*(alpha2 - 1/(alpha1 - 1));
yfp = 1/(alpha1 - 1);
xS1 = 0;
yS1 = alpha2;
%% GMAM parameters
Npnts = 500; % number of (interior... |
function [x,y,z]=cell_basis(obj,j1,j2,j3)
a0=0.5431/sqrt(2);
x=a0.*[1; 0; 0];
y=a0.*[0; 1; 0];
z=a0.*[0; 0; 1];
X=(j1.*x+j2.*y+j3.*z)/obj.arrays_sizes;
x=X(1)-obj.coord_limits(1)-obj.coord_stps;
y=X(2)-obj.coord_limits(1)-obj.coord_stps;
z=X(3)-obj.coord_limits(1)-obj.coord_stps; |
clear all;
close all;
clc;
addpath(genpath('../../eval_package'));
addpath(genpath('../../TSC'));
addpath(genpath('../../mexIncrementalClustering'));
%% evaluate script
dataset = '/home/yzhang/Videos/Dataset_CMUMAD';
% subject = 1:20;
subject = 5;
feature = 'FV2';
method_set = {'ACA'};
for mm = 1:length(method_set)... |
function [wlx whx Yscale]=dtwavexfm3(X,nlevels)
%does a 3-D DTCWT
global xa ya h0o h1o g0o g1o h0a h1a g0a g1a yscale
% load3D_xa('sphere');
xa=X;
ya={};
yscale=cell(nlevels,1);
if any(rem(size(xa),2^nlevels))
ext_mode = 8; % 8 means ... |
function H = SRD_dynamics_derive_JSIM(varargin)
Parser = inputParser;
Parser.FunctionName = 'SRD_dynamics_derive_JSIM';
Parser.addOptional('SymbolicEngine', []);
% Parser.addOptional('Symbolic_UseParallelizedSimplification', false);
Parser.parse(varargin{:});
if isempty(Parser.Results.SymbolicEngine)
error('Pleas... |
function [ b ] = b_cont( obs, miu, sigmas, c )
% b(s, t) - the density for a HMM
% with continuous density functions = mixture of normals;
% for a given set of observations; for state s at time t
% miu - matrix of means:
% [(means for dim d, comp_k)_state1, (means for dim d, comp_ks)_state2 ...()_state_s...]
% ... |
% mpDecay.m
N0 = 1e5; % initial number of atoms
lambda1 = 0.0001; %decays/s
lambda2 = 0.00005;
dt = 100; % time step (in seconds)
M = 1500; % total number of time steps
t = 0:dt:(M-1)*dt; % time series
p1 = lambda1*dt; % probability of having a decay in the time dt
p2 = lambda2*dt;
% Define the array that will be po... |
function AMPX_get_plane_angle_hist(data_out)
l_angle = data_out.lg.power.stats.theta;
lr_angle = data_out.lg_ran.power.stats.theta;
h_angle = data_out.hg.power.stats.theta;
hr_angle = data_out.hg_ran.power.stats.theta;
[n1, p1] = hist(l_angle, 25);
[n2, p2] = hist(lr_angle, 25);
[n3, p3] = hist(h_angle, 25);
[n4, p... |
function ProjectCode()
global SAMPLE_PERIOD PEAK_THRESHOLD VOLUME_THRESHOLD SUBDIVISIONS ...
BEAT1_THRESHOLD DECAY BEAT_LENGTH SHEET_MUSIC;
SAMPLE_PERIOD = 0.1; % Length of time that frequency is sampled over
PEAK_THRESHOLD = 0.06; % Cutoff amplitude for peak detection
VOLUME_THRESHOLD = 300; % ... |
%MIT License
%Copyright (c) 2019 Sherman Lo
%SCRIPT: PLOTTING LOG LIKELIHOOD
%Plots the log likelihood as a function of alpha and beta for fixed lambda
clearvars;
close all;
%random seed
rng(uint32(3270361853),'twister');
n = 100;
lambda = 1;
alpha = 1;
beta = 1;
[X,~] = CompoundPoisson.simulate(n,lambda,alpha,bet... |
function d=getDilatedcalP2X7(y)
d=y(:,7)+y(:,8)+y(:,24)+y(:,23);
end |
function cp_ptp = cal_cp_ptp(cp_name, ts, l1, l2)
% CP + PTP Trajectory Calculation
%
% [Inputs]
% cp_name : CP trajectory name ('circle', 'spiral', 'smile', 'ml_logo')
% ts : sample rate [msec]
% l1 : link1 length [m]
% l2 : link2 length [m]
% [Outputs]
% cp_ptp : CP + PTP t... |
% --- Executes on button press in pushbutton_addFilter.
function pushbutton_addFilter_Callback(hObject, eventdata, handles)
% hObject handle to pushbutton_addFilter (see GCBO)
% eventdata reserved - to be defined in a future version of MATLAB
% handles structure with handles and user data (see GUIDATA)
list_entr... |
%% plot phase portrait of the FollowerStopper on 2D plane (d_rel, v_rel)
clear all
clc
%%
d_rel = 0:1:50;
v_rel = -10:1:10;
[XX,YY] = meshgrid(d_rel,v_rel);
vec_x = zeros(size(XX,1),size(XX,2)); %\dot{v_{rel}}
vec_y = zeros(size(XX,1),size(XX,2)); %\dot{d_{rel}}
vehicle_speed = 15;
accel_lead = 0;
r = 30;
uMa... |
function node = Dir4Node(S,D,area,Property,Property_2,energy_level,flag)
load Net;
% current start node
Source = zeros(5,1);
Source(1,1) = S;
Source(2,1) = Net(S,1);
Source(3,1) = Net(S,2);
Source(4,1) = Net(S,3);
Source(5,1) = Net(S,4);
if (Source(2,1)-area)<=Net(D,1) && (Source(3,1)+area)>=Net(D,2) && flag ==1
... |
function [funcMatrix_ctx, funcLabels_ctx, funcMatrix_sctx, funcLabels_sctx] = load_fc()
%
% Usage:
% [funcMatrix_ctx, funcLabels_ctx, funcMatrix_sctx, funcLabels_sctx] = load_fc()
%
% Description:
% Load functional connectivity data parcellated using Desikan Killiany (author: @saratheriver)
%
% Outputs:
% funcMa... |
m = inline(input("data: \n", "s"), "t")
t = [0*pi:0.1:4*pi];
f_t = m(t);
figure(1);
subplot(3,1,1);
plot(t,f_t,"-b");
xlabel('t');
ylabel('x(t)');
title('F original dominio tiempo');
grid;
f_w = fftshift(abs(fft( m(t) )));
subplot(3,1,2);
plot(t,f_w,"-g");
xlabel('\omega');
ylabel('A');
title('F dominio \omega'... |
function tripletFileRename(folderName,fileExtensions,tripletNamekeepIndices,tripletNameEndIndex,tripletNameCombineIndex,runOption)
%%REMOVE COMMENTING FOR DEBUGGING:
% clear all; close all; clc;
%
% fileExtensions={'.PAR','.REC'};
% folderName='C:\Users\kmmoerman\Desktop\temp';
% tripletNamekeepIndices=[1:5 7];... |
function hor800meV_script
demo_dir=pwd;
%demo_dir=fileparts(which('demo_script'));
%==================================================================================================
% Unzip the data contained in the demo folder, and copy demo
%==========================================================================... |
close( 'all' )
clear all
%erwthma 1,2%
filenames = { };
for i = 1:9
filenames{end+1} = [ num2str(i) 'A.wav' ];
filenames{end+1} = [ num2str(i) 'B.wav' ];
end
filenames{end+1} = [ 'OA.wav' ];
filenames{end+1} = [ 'OB.wav' ];
filenames{end+1} = [ 'ZA.wav' ];
filenames{end+1} = [ 'ZB.wav' ];
fo... |
function svhn_crop_frames(in_images_dir, out_root_dir, vars)
% crop frames of all images using sliding window
% Params:
% in_images_dir - input dir containing images to process
% out_root_dir - output dir to save frames
norm_height = vars.norm_height; % normalize image height
win_wid = vars... |
function trfshow(a,b,k);
b=poldel(b,k);
na=length(a); nb=length(b);
n=max(na,nb);
a=[a zeros(1,n-na)];
b=[b zeros(1,n-nb)];
tf(b,a,1)
|
function [X,Y,reasons]=varyRt1d%(NNsector,tvec)%(NNsector,X,tvec)%(c,tvec)%
%months=[1 32 61 92 122 153 183 214 245 275 306 336];
%tvec=[t0,months(4:11)];%Fit tvec(1)=t0
%NNsector=[334594,3467837,2332332,7383886,1340524,1300949,373380,4031981,9741730,1828106,33704681]';
rt=(1:.02:1.1);
... |
function [allCorrect,pYttSave]=findInOutTol(devt,ytt,varYtt,tol,cutoff)
% points set to zero by cutoff
pYtt =1-cdf('Normal',tol,ytt,sqrt(varYtt))+...
cdf('Normal',-tol,ytt,sqrt(varYtt));
pYttSave = pYtt;
pYtt(pYtt<cutoff) =0;
pYtt(pYtt>=cutoff) =1;
% Keep the order, else the logic changes
devTol =zeros(... |
%% not trustworthy
bag_id = [1:size(bags_data,1)]';
dataset_bag = prdataset(bag_id,bags_label);
error = cell(2,100);
for j = 1:size(error,2)
j
[train_bag,test_bag,train_bag_id,test_bag_id] = gendat(dataset_bag,0.75);
[~,test_bag,~,test_bag_id] = gendat(dataset_bag,0);
train_instance_id = [];
test_... |
function link_table = citation_explorer(orig_string,varargin)
% citation_explorer Explore citations and references at multiple depths
%
% This function uses Europe PubMed Central to extract references or
% citations from a given paper and recursively find reference/citations
% within those. The relevant papers at each ... |
function [prob_c, free_energy_e, likelihood_e] = q5_GM_Expectation(X, mus, sigmas, priors)
% Executes the Expectation-step for the learning of a GMM.
%
% INPUT:
% X: [m x n] matrix, where each row is an n-dimensional input example
% mus: [n x K] matrix containing the n-dimensional means of the K Gaussians
% sigmas: ... |
counts = 0;
for i = 1:10^7
if length(factor(i)) == length(factor(i+1))
counts = counts + 1;
end
end |
function config = configuration_smallsat
%Constants and configuration definitions for the satellite
config.name = 'smallsat';
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%%%% Model Properties
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% Body properties
config.m... |
function v = FLUID_TYPE_PURE()
persistent vInitialized;
if isempty(vInitialized)
vInitialized = CoolProp_wrap(0, 90);
end
v = vInitialized;
end
|
function [ FOREST, C, BOW_matrix_cars, BOW_matrix_faces]=SPM
%UNTITLED Summary of this function goes here
% Detailed explanation goes here
addpath('./scripts');
addpath('C:/Users/sunny/Documents/MATLAB/vlfeat-0.9.20/toolbox/misc');
run('C:/Users/sunny/Documents/MATLAB/vlfeat-0.9.20/toolbox/vl_setup');
facesIn... |
clearvars -except hl_global hl hl_fused glwd glwd_fused dcs
close all
numperdecade = 5;
%% Load in the data
load('D:\GoogleDrive\Research\Lake distributions\LakeDatabases.mat','hl_fused');
addpath('power_law_scripts/');
%% Look at the HydroLakes Dataset
disp('Extracting the HL Dataset');
HL_area = extractfield(hl_... |
function rate=getrate2(dis,radius,ismacro)
p=1e2;
a=3;
pmacro=1e4;
noise=1e-9*1e4;
% rate=floor(15./dis);%+
% %rateind=(rate>0);
% %rate=rate+rateind.*rand(size(dis));
rate=zeros(size(dis));
for cell=1:size(dis,1)
if(ismacro(cell)==0)
rate(cell,:)=log2(1+p./noise./(dis(cell,:).^a));
else
... |
function p = effective_prior(p_targ,cmiss,cfa);
% p = EFFECTIVE_PRIOR(p_targ,cmiss,cfa)
%
% This function adjusts a given prior probability of target p_targ,
% to incorporate the effects of a cost of miss, cmiss, and a cost of false-alarm, cfa.
% In particular note:
% EFFECTIVE_PRIOR(EFFECTIVE_PRIOR(p,cmiss,c... |
function fireValve(TTLIOPort,Feeder)
pulseDuration = 200; % in ms
if (PelletCount ~= 0) % nonzero number
[succeeded, cheetahReply] = NlxSendCommand(cat(2,'-SetDigitalIOPulseDuration AcqSystem1_0 ',num2str(TTLIOPort), ' ' ,num2str(pulseDuration)));
if succeeded == 0
disp 'FAILED to Set duration'
... |
% RGP function (random graph generation process)
% INPUTS: Number of vertices n, Property T
% OUTPUTS: adjacency matrix G, time elapsed
function [G, time] = RGP(n,T)
% RGP Function
Matrix = zeros (n,n);
time = 0;
switch (T)
case 1
Property = isMinDegreeOne(Matrix);
case 2
... |
%
% Read_CT_DICOM
%
% Purpose: Read GE PET Dicom data into 4D matrix, and header structure
%
% Author: Jan Axelsson, Anna Ringheim (based on her method for Matlab Webserver)
%
% Input: - directoryPath
%
% Output: - 4D matrix [X x Y x M * T] with image size X x Y with M slices ... |
function [ x_new,P_new ] = updateKalman(x_hat,u,y,P )
global R;
global Q;
global Ts_kalman;
%x_k+1=f(x_k)+vk
%y_k=h(x_k)=C*x_k
F=Jacobi_fk(x_hat,Ts_kalman); %jacobian of f evaluated at x_hat
%Jacobian of h(x)
C=[1 0 0 0 0 0 0 0;0 1 0 0 0 0 0 0];
H=C;
%kalman update
P_new=F*P*F'+Q; %predicted covariance
y_hat=y-C*x... |
function [T,I,Y]=perfusionResponseP2X4Inact2(y0,ton,toff,Ttot)
ode=modelODEP2X4Inact2(ton,toff);
[T,Y]=ode15s(ode,[0 Ttot],y0,odeset('NonNegative',1:34));
I=getTotalCurrentP2X4Inact2(Y);
end |
function [neighbors selMask] = getNeighbours(pt, distance, pts)
% Finds neigbor points.
% Parameters:
% pt - center point
% distance - max distance to neighbor
% pts - points to be tested set
% Returns:
% neighbors - neigbor points
% selMask - binary map of selected points
selMask = getDistances(pt, p... |
% edp.m
% Constructing the Electrical Density Profile(EDP) from exp. diff. data.
% INPUT var
% N ------ highest order
% L ------ long period obtained from first order peak position of exp. data
% vi ------ a vector, containing phase angle of each order diff.
% x ------ the distance between current post... |
clusCount = 0;
for iChan = 1:32%1:length(clustersToKeep)
sp_ind = [];
sp_mean = [];
for iClus = clustersToKeep{iChan}
clusCount = clusCount+1;
cluster(clusCount,:) = [iChan, iClus];
sp_ind = find(spikes_clusters{iChan} == iClus);
sp_mean = mean(spikes_waveforms{iChan}(... |
% testing matlab code for github
laptop_again = 1:10
|
function randomize(obj)
% Should start calling the object's support function unifRand function
% instead - the support set might not be rectangular
L = obj.L; % Get bounding box; L = [a,b;c,d] for [a,b]x[c,d] or L = [a,b;c,d;e,f] for
% ... |
function hdl = click(I, varargin)
%
% click help
text = '';
if nargin == 2
text = varargin{1};
end
hdl = figure;
h1 = subplot('position',[0.1 0.2 0.88 0.67]);
if (isfloat(I))
if (max(I(:)) <= 1)
I = 255*I;
end
I = uint8(imnorm(I, [0 255]));
end
imagesc(I);
axis off;
axis i... |
%% Housekeeping
addpath('ximu_matlab_library'); % include x-IMU MATLAB library
addpath('quaternion_library'); % include quatenrion library
addpath('data_pengukuran'); % include quatenrion library
close all; % close all figures
clear; % clear all variables
clc; ... |
% $Id: crwea_gui.m 70 2013-08-19 12:48:53Z rdj $
%
function varargout = crwea_gui(varargin)
% CRWEA_GUI M-file for crwea_gui.fig
% CRWEA_GUI, by itself, creates a new CRWEA_GUI or raises the existing
% singleton*.
%
% H = CRWEA_GUI returns the handle to a new CRWEA_GUI or the handle to
% the existin... |
function values = getnodevalues(inputvalues, mapping, identifier)
% values = getnodevalues(inputvalues, mapping, identifier)
row = find(mapping == identifier);
switch length(row)
case 0,
error('Identifier not found')
case 1,
values=inputvalues(row,:);
otherwise,
error('Only one ide... |
classdef SmartSample < handle
%SMARTSAMPLE Tracks visited positions in real space and diamond space.
% Functionality to move across sample given diamond space
% coordinates. Image positions are interpreted from QR codes.
%
% The stage position will be used to give a confidence score of the
... |
function deep_gp_sample_1d
%
% Plot the latent coordinates that points are mapped to by a deep function
%
% David Duvenaud
% Sept 2013
% Options:
connected = false; % true; Does the input connect to every layer
seed=0;
layers = 20;
sample_resolution = 500; % 500
n_1d = 15000; % 15000 points
savefig... |
function [A, activation_cache]=sigmoid(Z)
A=1./(1+exp(-Z));
activation_cache=Z;
end |
function test(rounds)
files = dir('Data/Raw/*.mat');
files_names = {files.name};
corr = 0;
for i = 1:rounds
rnd = unidrnd(length(files_names));
%testTone = getTestTone();
targetName = strcat('Data/Raw/',files_names{rnd});
targetFile = load(targetName);
len = lengt... |
%==========================================================
function varargout = curlim(varargin)
%==========================================================
%check to see if element values are within limit
%varargin contains arrays
%1. delta (change in currents) COMPRESSED
%2 act (actual curre... |
% caculator PR
% NX: the upbound of x =5
% NY: the upbound of y =5
% MAXD: the upbound of demand, MAXD =5
% x: St
% y: how much order
% K: the fixed fee of placing order
% r: the selling price per unit
% c: ordering price
% h: holding cost per unit
% s: shortage cost per unit
% u: demand-propability matrix... |
% Ensemble Searchlight electrode analysis, which analyses each electrode
% separately (as in the Mat
% GV 18th May 2018
% So far only does whole timecourse classification
close all
clear all
% SOME FLAGS TO SET:
doSearchlight = 0; % 1 = do RSA using the following flags; 0 = just load in the specified file and plot s... |
function dump_cofw_rcpr_fids(path)
%
addpath(genpath('/home/mallikarjun/src/piotr_toolbox/toolbox'));
addpath(genpath('./../'));
load([path '/cofw_data/facemap.mat']);
% LOAD PRE-TRAINED RCPR model
load('../models/rcpr_COFW.mat','regModel','regPrm','prunePrm');
nfids=87/3;
%
... |
function word=OCR_main(image)
clc,
% image = imread('TEST_1.jpg');
if size(image,3)== 3
g_image = rgb2gray(image);
else
g_image = image;
end
t = graythresh(g_image);
bw_image = ~im2bw(g_image,t);
imwrite(bw_image,'binary_image.jpg');
bw_image = bwareaopen(bw_image,30);
imwrite(bw_image,'noise_removed_image.... |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.