text stringlengths 8 6.12M |
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io = dsp2.io.get_dsp_h5();
P = dsp2.io.get_path( 'measures', 'normalized_power', 'meaned', 'reward' );
measure = io.read( P );
measure.data = measure.data(:, 1);
measure = dsp2.process.format.fix_block_number( measure );
measure = dsp2.process.format.fix_administration( measure );
% measure = dsp2.process.format.fix_si... |
clear all
rows = 600;
X = randi(rows,[rows, rows]);
Y = randi(rows,[15, rows]);
idx = zeros(rows^2,2);
row = 1;
for x = 1:rows
for y = 1:rows
idx(row,:) = [x,y];
row = row + 1;
end
end
tic
[~, maxIdx] = max(sqrt(idx(:)));
[win_row, win_col] = ind2sub(size(idx),maxIdx);
toc
clear win_row
clear... |
function [lambdaMin] = lambdaMin(physics, vref, rl)
m = physics.m;
g = physics.g;
muS = physics.muS;
muC = physics.muC;
vs = physics.vs;
f = @(x) 1 - exp((x.^2 + 2*x*vref)/vs^2) + 2*x.*(x+vref)/vs^2;
epsilon = 3; % error in e-epsilon
i = max(0, ceil(-log10(vref/10)));
epsilon ... |
%%%%%主函数
%%把图像读入，作为一个矩阵
Classnum=70;
snuml=10;
snumr=4;
row=30;
line=360;
Datel=zeros(row,line,snuml,Classnum);
Maskl=zeros(row,line,snuml,Classnum);
Juanl=zeros(row,line,snuml,Classnum);
%%class L1
T1=imread('F:\matwork\20110729\Irisnormalize_pic\S2001L01.jpg');
Datel(:,:,1,1)=T1';
T1=imread('F:\matwork\20110729\I... |
function mpfn = removebran(mpfn,val)
%% constants
[m,~] = size(mpfn.branch);
[~,M] = size(mpfn.smat);
glist = mpfn.gb(:,1);
for i = 1:m
if glist(i)<val
mpfn.gb(i,1:2) = 0; % clear .gb
mpfn.branch(i,[4 11]) = 0; % clear branch
mpfn.branch(i,3) = Inf;
end
end
for i = 1:M
... |
clear;
load('ex6data1');
for C = 1:20:100
model = svmTrain(X, y, C, @linearKernel, 1e-3, 20);
visualizeBoundaryLinear(X, y, model);
pause;
end
|
function [adjdata] = adjacent1D(nx, na, xtrack, atrack, data);
% function [adjdata] = adjacent1D(nx, na, xtrack, atrack, data);
%
% For each FOV in the input it determines the data in the
% 8 adjacent FOVs (ie the 8 points adjacent to the center
% point of a 3 x 3 grid).
%
% Input:
% nx : [1 x 1] full cross-tra... |
function result = pca_backprojection(projection, average, eigenvectors)
% function result = pca_backprojection(vector, average, eigenvectors)
%
% the vector is converted to a column vector. Each column in eigenvectors should
% be an eigenvector. The mean is converted to a column vector
projection = projection... |
% EJERCICIOS RESUELTOS DE VISIÓN POR COMPUTADOR
% Autores: Gonzalo Pajares y Jesús Manuel de la Cruz
% Copyright RA-MA, 2007
% Ejercicio 5.9: Suavizado y Realzado: media armónica y contra-armónica
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% 5.11.2 Suavizado: filtros de medias
%... |
num_channels=256;
structure = [num_channels+1, num_channels+2];
cfg1=[];
cfg1.layout = layout_256;
cfg1.comment = 'no';
cfg1.layout.pos(structure, :) = [];
cfg1.layout.width(structure, :) = [];
cfg1.layout.height(structure, :) = [];
cfg1.layout.label(structure,:) = [];
% The input ... |
clear;
close;
clc;
%point of intersection
A = [1/3 1/4; 1/4 1/3];
b = [1 1]';
u = inv(A)*b
%sketching the locus
h = [linspace(0.5,5.9/7,50) linspace(6.1/7,1.2, 50)];
k = 1./(7/6-1./h);
stem(h,k)
grid
xlabel('h');
ylabel('k');
print -deps -color ee16b1009.eps
|
function SimuPop = AddAgent(SimuPop,whichcircumstance,RiskID)
% SimuPop = AddAgent(SimuPop,whichcircumstance,RiskID)
%
% This function adds a new individual to the clinic.
%
% SimuPop: Current Population
% whichcircumstance: String which specifies which agent is added to the
% clinic:
% - 'initpatient': Adds... |
function [Factors,Nb_intrudors,m_factor] = SSRF_compute_factor(BG,X)
% X should at least have two instances
% size of the sets
nbX = size(X,1);
nbBG = size(BG,1);
% find nearest neighbors
[IDX,D] = knnsearch(X,X,'K',nbX);
[IDX] = rescue_knn(IDX);
IDX = IDX(:,2:end);
D = D(:,2:end);
[IDX_bg,D_bg] = knnsearch(BG... |
function test
R = [0.40, 0.25, 0.15, 0.10, 0.10];
% happy1 = R.*[0, 3, 1, 0, 1];
% H1=sum(happy1);
% disp('happy1');
% disp(H1);
%
% happy2 = R.*[1, 4, 2, 0, 1];
% H2=sum(happy2);
% disp('happy2');
% disp(H2);
%
% happy3 = R.*[1, 5, 2, 0, 1];
% H3=sum(happy3);
% disp('happy3');
% disp(H3);
%
% happy4 = R.*[1, 6, 2... |
classdef Kernels
properties(Constant)
ONE = single(1);
ONES = [1; 1; 1];
ONES_S = single([1; 1; 1]);
KER = (1/(4*pi));
KER_S = single((single(1)/(single(4)*single(pi))));
end
methods(Static)
function [K] = evalKernelSingle(x,y)
K = Kernels.KER * ..... |
function [x_k_j,w_k_i] = SIR_PF(T,N,Q,R,z_k)
% function [x_k_j,w_k_i] = SIR_PF(T,N,Q,R,z_k)
%%
% Description:
% This file is to mimic the example of SIR Particle Filter in
% A Tutorial on Particle Filters:
% M. Sanjeev Arulampalam, Simon Maskell, Neil Gordon, and Tim Clapp
% Section V-B.1
%
% In... |
clear all % ensure previous legoev3 instance is deleted
%% initialize connection
ev3 = legoev3('usb');
%% initialze motors and sensors
motor_r = motor(ev3, 'B');
motor_l = motor(ev3, 'C');
sen_sonic = sonicSensor(ev3, 2);
sen_color = colorSensor(ev3, 3);
%% declare parameters
speed = 100;
turn_speed = 50;
th_sonic =... |
% Generate pinhole mask in SVG pictures.
% Every thing is defined in millimetre.
% Don't worry about the difference of screen PPI and printer DPI.
% The printer will try it's best to fit the actural position.
% see
% http://displayblocks.org/diycompressivedisplays/parallax-barrier-display/
% This is for iphone4-6, n... |
function [P,Q,Tnew,Tant,BP]=TDMA(aw,ae,as,an,ap,bp,j,N,M,P,Q,Tnew,Tant,BP)
if j==1 %At the bottom the temperature is fixed
for i=1:sum(N)
Q(i,j)=bp(i,j);
P(i,j)=0;
end
elseif j==sum(M)
%Left side
... |
function camera = readCameraInfo(file)
% function camera = readCameraInfo(file)
% Reads the .cih files saved by the Photron high speed cameras
% Produces a structure called camera with various useful fields
fid = fopen(file);
done = 0;
while ~done,
ln = fgetl(fid);
if (ln == -1),
done = 1;
co... |
function screenconfig
global screenPTR screenPTROff screenNum Mstate Gtxtr Masktxtr setupDefault
%screens=Screen('Screens');
%screenNum=max(screens);
%set GPU correctly if needed in case of 2 GPUs
if setupDefault.useSecondGfx==1
PsychTweak('UseGPUIndex',1);
screenNum=1;
else
screenNum=0;
end
PsychImagin... |
%% Useful notes on the Brick Toolbox
%
% We hope the 'Brick' Toolbox will help you, its documentation is not
% complete, so you won't have too much to read! Just pay attention to the
% following points:
%% Higlights
% The <fn_demo.html main presentation> has already highlithed functions
% |<help_fn_coerce.html fn_coer... |
%% Gaussian
%% MRI CT distortions
clear; close all; clc;
ct = load('coordinates/centroids_CT.mat');
ct = ct.centroids_CT;
% ct = ct./max(ct(:));
mri = load('coordinates/centroids_MRI.mat');
mri = mri.centroids3;
% mri = mri./max(mri(:));
%train
ctx = ct(1:2:end,1);
cty = ct(1:2:end,2);
ctz = ct(1:2:end,3);
ctt ... |
% This program implements Wirtinger Calculus based Levenberg-Marquardt
% algorithm for complex-valued neural network (a three layer feed-forward)
%
% Author: Md Faijul Amin {Email: mdfaijulamin@yahoo.com}
%
% Ref: M.F. Amin, M.I. Amin, A.Y.H. Al-Nuaimi, and K. Murase. 2011.
% Wirtinger Calculus based Gradient ... |
%countrygdpstuff
cd('/Users/grayson/desktop/summerresearch'); %get into a good directory
FILE = fopen('companiesgdppercent.csv'); %pull in the network data
DATA = textscan(FILE,'%s %s','delimiter',',','headerlines',1);
fclose(FILE); %close the loose file
country = DATA{1};
gdp = DATA{2};
tempgdp = zeros(length(gdp),1)
... |
function makeTuples( obj, key )
[gwin, glim ] = fetch1(StatAreaParams(key),'gwin','glim');
[rfMap,rz] = fetch1(RFMapRaw(key),'onpoff_rf','rz');
rfMap = double(imresize(rfMap,1/rz));
[~,hMap] = max( squeeze(mean(rfMap,3)),[],3);
fhMap = convn(hMap,gausswin(gwin)*gausswin(gwin)','same');
[~,reversal] = max(fhMap,[],2);... |
function [x, flag, iter, xs] = Bisection(fun, interval, tol, maxIter)
% Bisection Find zero of single-variable function using bisection method.
% X = Bisection(FUN, INTERVAL) returns a zero of FUN within INTERVAL
% using bisection method. FUN should be a function handle taking a scalar
% as input and INTERVAL ... |
% Image Compressor
% Compresses to 1/3 size
old_rgb_1 = imread('moon.jpg'); % Comvert jpg to rgb
comp_rgb_1 = compress(old_rgb_1); % Compress image
uncomp_rgb_1 = decompress(comp_rgb_1); % Uncompress image
imwrite(comp_rgb_1,'image1new.jpg'); % Convert back to jpg
% Display the original and ... |
function [ classification ] = MultiSVMClassify( MultiSVMStruct, tst )
%MYMULTISVMCLASSIFY Summary of this function goes here
% Detailed explanation goes here
classification = [];
NumOfClasses = length(MultiSVMStruct);
for i=1:NumOfClasses
classSVM = MultiSVMStruct(i);
svmStruct = classSVM.SVM;
cl... |
%function [rec,prec,ap] = VOCevaldet(VOCopts,id,cls,draw)
clc,clear
close all
clss = {'Insulator';
'Rotary_double_ear';
'Binaural_sleeve';
'Brace_sleeve';
'Steady_arm_base';
'Bracing_wire_hook';
'Double_sleeve_connector';
'Messenger_wire_base';
'Windproof_wire_ring';
'Insulator_base';
'Isoelectric_line';
... |
function magLightInit(connString)
% Sets up the communication link to talk to SerialForwarder (suppose to be connected
% to TOSBase) which broadcasts to motes running MagLightTrail. Also,
% 1) initializes default values for the report threshold and the number of
% intervals before the LED fades
% 2) stores ... |
function itsprint(str, k)
%ITSPRINT displays the iteration information
if(k==1)
fprintf(str);
end
fprintf('%s%s', char(8*ones(1,length(str))), str); |
function [data,count] = preprocess( input,day )
%PREPROCESS 此处显示有关此函数的摘要
% 聚合数据预处理
% 每年的同一天数据聚合，最后31个聚合结果，同师姐论文
col=length(input(day,:));
count=0;
for i=1:col
if(~isnan(input(day,i)))
count=count+1;
data(1,count)=i;
data(2,count)=input(day,i);
end
end
end
|
% Figures for paper
% Figure 1
% from testDictionaryLearning(1)
% dim = 64; nAtoms = 192; k = 6; nSignals = 50,000; avgAtoms = k * nSignals / nAtoms;
% M_batch_OMP=dim*nAtoms^2 + nSignals * [ dim * ( 1 + nAtoms) + k^2 * ( 1 + nAtoms + k^2 ) ];
% m_D_update = nAtoms * [ 2 + dim * ( 3 + nAtoms ) + avgAtoms * ( 2 +... |
%CBTHRW2D は、2次元のしきい値のユーティリティのコールバックです。
% M. Misiti, Y. Misiti, G. Oppenheim, J.M. Poggi 03-Oct-98.
% Copyright 1995-2004 The MathWorks, Inc.
|
t = 0 : 0.01 : 5-0.01
f1 = 10;
f2 = 20;
x = 5 * sin(2* pi * f1 * t ) + 2 * cos(2* pi * f2 * t);
DFTandShow(t,x);
%%
Fs = 1000; % Sampling frequency
T = 1/Fs; % Sampling period
L = 1000; % Length of signal
t = (0:L-1)*T; % Time vector
X = 0.7*sin(2*pi*250*t) + sin(2*pi*120... |
addpath('./mfile_tests')
addpath('./mfile_gold') |
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% CTD: Fast, Accurate, and Interpretable Method for Static and Dynamic Tensor Decompositions
% Author: Jungwoo Lee, Dongjin Choi, and Sael Lee
%
% Version: 1.0
% Date: August 21, 2017
% Main Contact:... |
function [ dataset, distortion ] = Assignment( dataset,centroids, K ,colors,attempt)
%UNTITLED Summary of this function goes here
% Detailed explanation goes here
% size/rows of centroid matrix == K
% attempt is how many times we updated our mean.
for i=1:size(dataset(:,1),1)
for j=1:size(centroids(:,1),... |
function [ maxNcc, dx, dy, failed ] = tryFF( sample, template, data )
%tryFF An attempt at full frame registration first
% Detailed explanation goes here
ncc = getNCC(sample, template);
[ncc, failed] = processFF(ncc, data);
if failed
maxNcc = 0;
dx = 0;
dy = 0;
return;
end
maxNcc = ma... |
i = imread('cameraman.tif');
figure;
subplot(1,2,1);imshow(i);
subplot(1,2,2);imhist(i);
imh = imadjust(i,[0.3,0.6],[0.0,1.0]);
imh1 = histeq(i);
figure;
subplot(2,2,1);imshow(imh);title('streatch');
subplot(2,2,2);imhist(imh);
subplot(2,2,3);imshow(imh1);title('hist eq');
subplot(2,2,4);imhist(imh1);
|
function plot_simpl(A,B,R)
figure(2);
X = A;
Y = B;
Z = R;
x_prev1 = [X(1);X(2)];
x_prev2 = [X(1);X(3)];
x_prev3 = [X(1);X(4)];
x_prev4 = [X(2);X(3)];
x_prev5 = [X(2);X(4)];
x_prev6 = [X(3);X(4)];
y_prev1 = [Y(1);Y(2)];
y_prev2 = [Y(1);Y(3)];
y_prev3 = [Y(1);Y(4)];
y_prev4 = [Y(2);Y(3)];
y_prev5 = [Y(2);Y(4)];
y_prev6... |
%function [rec,prec,ap] = VOCevaldet(VOCopts,id,cls,draw)
clc,clear
close all
clss = {'Insulator';
'Rotary_double_ear';
'Binaural_sleeve';
'Brace_sleeve';
'Steady_arm_base';
'Bracing_wire_hook';
'Double_sleeve_connector';
'Messenger_wire_base';
'Windproof_wire_ring';
'Insulator_base';
'Isoelectric_line'};
... |
function [cargasViento]=trussViento3D(lista,b,pV,datosEstructura,dirF)
%funcion para repartir la fuerza en los elementos afectados
d = datosEstructura;
%%
%Calcular el peso por elemento
bElementos = b(lista,:);
lElementos = d.longitudElementos(lista,2);
fViento = pV*bElementos.*lElementos;
%calculamos las carga... |
%-appName, paramFile: see appBuilder
%-configFile: string contaning the name of the function in configs/ folder with
%the desired set of parameters
%-fileInstance: number of the correct envList file inside the folder defined in
%configFile
%-version: year of your matlab version (numeric)
function LOG = simulate(versio... |
function varargout = fun(varargin)
% FUN MATLAB code for fun.fig
% FUN, by itself, creates a new FUN or raises the existing
% singleton*.
%
% H = FUN returns the handle to a new FUN or the handle to
% the existing singleton*.
%
% FUN('CALLBACK',hObject,eventData,handles,...) calls the local
% ... |
% test resizing
path_orig = '../../data/original/';
file_image = '0000118.jpg';
scale = 0.5;
method = 'nearest';
antialias = false;
numIters = 100;
RGB = imread([path_orig,file_image]);
t = 0;
for i=1:numIters
tic();
RGBout = imresize(RGB,'Scale',scale,'Method',method,'Antialiasing',antialias);
t = t + toc();
end
f... |
function plot_RMS_max_pressures(kgrid,sensor_data_fluid,sensor_data_elastic,freq_data)
% plot and save the rms recorded pressure and HM line
% open new figure
figure;
subplot(2, 2, 1), imagesc(kgrid.y_vec*1e3, kgrid.x_vec*1e3, sensor_data_fluid.p_rms,[-1 1]);
title('RMS Pressure fluid simulation');
... |
function mk_des_mx_one_back_analy_3(all_sub,param) %*change need to address function file from file that loads up subject specific data ***_____________IF VARIABLES CHANGED *********
%get variables from param
curr_sub=param.curr_sub;
num_sess=param.num_sess;
analy=param.analy;
fs=param.fs;
dir_base=pa... |
function eventsCountHis(outputPath, generalProperty, imagingData, BehaveData)
[labels, examinedInds, eventsStr, labelsLUT] = getLabels4clusteringFromEventslist(BehaveData, ...
generalProperty.labels2cluster, generalProperty.includeOmissions);
classes = unique(labels);
allTrailsIndex = 1... |
function [ax h1 h2] = adcasl_bar(astr_fileAdcAslData, varargin)
%
% INPUTS
% astr_fileAdcAslData string file containing ADCASL data.
%
% OPTIONAL
% v_YLim1 vector limits on Y1-axis
% YTicks1 int number of ticks on Y1 axis
% v_YLim2 vect... |
function plotSeries(pb)
series = fetch(mp.Series(pb.key),'*');
nSeries = length(series);
for se = series'
nChan = length(se.channels);
for c = 1:nChan
h=subplot(nChan,nSeries, (c-1)*nSeries+se.series);
set(h,'parent',pb.seriesPanel);
T=[];
if se.y_units(c)=='A'
... |
basepathCode='/home/urut/code/osort-v1-rel';
path(path,[basepathCode ]);
path(path,[basepathCode '/code/continuous/']);
path(path,[basepathCode '/code/sortingNew/']);
path(path,[basepathCode '/code/sortingNew/noiseRemoval']);
path(path,[basepathCode '/code/sortingNew/projectionTest']);
path(path,[basepathCode '/c... |
function strct = elementify(strct, varargin)
% strct = ELEMENTIFY(strct, ['keep'])
% Separates an M by N matrix strct.data into N column vectors according to
% the N names in cell array strct.elements. If 'keep' flag is selected, the
% preexisting '.data' field will be retained
% If the input data is not a struct, ret... |
function result = initial_tracking_info(depth_frame, parameters)
% function result = initial_tracking_info(depth_frame, parameters)
global debug;
de = depth_edges(depth_frame, parameters.depth_edge_low, parameters.depth_edge_high);
% detect the face
ft = parameters.face_template;
[scorestoim, scorestotemp, ... |
function [customizedSurface, zGrid, calibrationPoint, angleMatrix] = getCustomizedZGridForMember(currentMember, memberBoundingBox, splintLineX, splintLineY, angles)
memberMinX = min([currentMember(1); currentMember(4)]);
memberMaxX = max([currentMember(1); currentMember(4)]);
memberMinY = min([currentMember... |
function Params = stimdefITD(EXP);
% stimdefITD - definition of stimulus and GUI for ITD stimulus paradigm
% P=stimdefITD(EXP) returns the definition for the ITD (interaural time
% difference) stimulus paradigm. The definition P is a GUIpiece that
% can be rendered by GUIpiece/draw. Stimulus definition like s... |
classdef Graph < handle % GraphAbstract
properties
Nodes
Edges
end
properties( Hidden = true , Access = private )
NodeCount = 0;
EdgeCount = 0;
ConstructorKeyPropertyMap = struct(...
'NodeNames', {}, 'NodeIDs', [], 'NodeValues', {},...
... |
function [g,dg_lo,dg_hi] = gamma_n(s,t,p,along,alat)
%%% GAMMA_N: Label hydrographic data with neutral density
%%%
%%% USAGE: [g,dg_lo,dg_hi] = gamma_n(s,t,p,along,alat)
%%%
%%% DESCRIPTION: Label a section of hydrographic data at a specified
%%% location with neutral density
%%%
%%% PRECISION: Double
%%%
%%% INPUT... |
addpath(genpath('c:\matlab\lightspeed')) |
classdef Snake < handle
%PATCH 2016-11-09 JN
properties
arena = ones(100,200);
elements
TRONS
life
player
err %PATCH 2016-11-09 JN
end
methods
function hObject = Snake(varargin)
% [y f]=audioread('ReeckFirebird.mps3'); %PATCH 2016-11-09... |
function mutual_information(train_data,train_label)
length=size(train_data,1);
breadth=size(train_data,2);
for j=1:breadth
name='pclass';
new_data=train_data;
new_label=train_label;
if size(unique(new_data),1)>10
[sorted,indices]=sort(new_data);
label=... |
close all; clear all; clc;
orig_data = load('iris'); % load input data
model = lda(orig_data,2); % train LDA
ext_data = linproj(orig_data, model); % feature extraction
figure; title('LDA-Linear Discriminant Analysis');
xlabel('x_1'); ylabel('x_2');
ppatterns(ext_data); % plot ext. data
... |
% this function calculates how many remaining files are there for each
% subject, the ouput is a txt file containing this information
function [] = compute_subject_statistics()
% empty containers
sub_counter_array = zeros(1, 25);
sub_name_array = strings([1, 25]);
array_counter = 1;
% initializations
% folder_conten... |
function [new_pose] = motion_update(ut, sigma, old_pose, L)
%MOTION_UPDATE Update the given pose using the actuation comand ut.
ut = mvnrnd(ut,sigma);
new_pose = old_pose + ut;
if ~(IsInBounds(L, new_pose))
new_pose = old_pose;
end
end
|
if max(size(gcp)) == 0 % parallel pool needed
parpool % create the parallel pool
end
NUMBER_OF_TRIALS = 4;
variances = zeros(NUMBER_OF_TRIALS,1);
fvals = zeros(NUMBER_OF_TRIALS,1);
options = optimoptions(@fminunc,'Display','iter');
options.Algorithm = 'quasi-newton';
options.MaxIterations = 1000;
options.MaxFuncti... |
clear all
% close all
clc
addpath(genpath('./libs'))
addpath(genpath('../data'))
openR;
evalR('install.packages("glasso")')
evalR('library("glasso",lib.loc="C:/Users/matineh/myFiles/projects/TBI/graphical_model/libs/")')
% evalR('library("glasso")')
measurementType = 'fa';
subjectType = 'hs';
HS = readTbiPdf(measu... |
function [a] = plotLayer2Results(results)
sizes = cell2mat({11,20,34,45});
minErrors = cell(size(results,1),1);
for i = 1:size(results,1)
[layer1, layer2, layer3] = divideResultsInLayers(results{i,4});
minErrors{i} = cell2mat(findMinErrorInLayer2(layer2));
end
algos = {'traingdm','tr... |
obj = VideoReader('D:\huangkang\Projects\pupilLab\code\PupilLab\data\rawData\26.avi');
NumberOfFrames = obj.NumberOfFrames;
show_process = false;
%
la_imagen=read(obj,10);
filas=size(la_imagen,1);
columnas=size(la_imagen,2);
% Center
centro_fila=round(filas/2);
centro_columna=round(columnas/2);
figure(1)
% draw mask
i... |
function plotStructure(structure, figNum, xLimit, yLimit, realvalue)
if nargin<5
realvalue = false;
end
figure(figNum);
hold on
axis equal
xlim(xLimit)
ylim(yLimit)
for i = 1:size(structure, 1)
length = ((structure(i, 3) - structure(i, 1))^2 + (structure(i, 4) - structure... |
% calculate the median absolute error (MAE) for the size-replication curve,
% as well as the replication-size curve:
% since we have both size->id and id->replication,
% we can do then a change of variable to get size->replication
%% parameters:
n_case = 6; % num of GAN curves
x_tmp = [22.02, 24.70, 27.41, 28.99, 30... |
% =========================================================================
%
% This software was developed by employees of the National Institute of
% Standards and Technology (NIST), an agency of the Federal Government.
% Pursuant to title 17 United States Code Section 105, works of NIST
% employees are not subjec... |
function showNii(niiData, z)
maxVal = max(max(max(niiData)));
imshow(niiData(:,:,z)',[0 maxVal]);
end
|
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% matWrapper.m
%
% DESCRIPTION:
% Demonstration script for importing a model trained with Tensorflow-Keras
% and using it for classification. Requires deep learning import packages
% from add-on explorer in MATLAB, and deep learning toolbox. Rec... |
function [ mask, centroid ] = findProbable( Im,threshold )
%UNTITLED3 Summary of this function goes here
% Detailed explanation goes here
function p = probabilityDensity(val,mu,sigma)
sigma_p2 = power(sigma,2);
denom = sqrt(2*pi*sigma_p2) ;
numer = exp(-1 * power((val - mu),2)/(... |
%Script to study whether the ILD-distance method is *predictive*
%That is, can a subset of locations be used to generate Activity vs. d_ILD curves that predict
%the activity for the rest of the locations?
%Load neuronal data
if(~exist('Neuron','var'))
load 'd:\mlspezio\matlab\save\Neuron_39_regress_twelfth'
... |
%% Generate MAC curves for decomposition
% PhotonElectric and Compton for materials without K-edges
% structEBas:
% Output:
% strName,pfEnergy,pfBase
% pnBaseLoc: matrix of size structDet.nEnergyBin * length(pfEnergy)
function structEBas = setEnergyBasis()
% Absorption effect
structEBas... |
function bootstrapEONIA(reference, maturity, rates)
% Compute the bootstrap for the EONIA curve (chosen as the discount
% factors' curve). The bootstrap technique is standard and uses market
% quotes of Overnight Indexed Swap rates with increasing maturity.
% Swaps with a maturity up to one year and swaps with lo... |
x = [1 2 0 -1 0 3];
h = [1 -1 1];
conv(x,h)
x_n = length(x);
h_n = length(h);
y_n = x_n + h_n - 1;
y1 = zeros(1, y_n);
y2 = zeros(1, y_n);
y3 = zeros(1, y_n);
for i = 1:x_n
for j = 1:h_n
y1(i + j - 1) = y1(i + j - 1) + x(i) * h(j);
end
end
y1
ytemp = zeros( x_n, x_n + h_n -1);
for i = 1:x_n
yt... |
function [ ] = mlestimator(filename,num_classes)
%return data read from file
% filename: file name to which holds data
% data : return data maxtrix
% Assumes a text file with (category x1 x2 x3... ) format
% st: total samples
% nf: number of features/dimenstions
clc;
fileID = -1;
errmsg ='';
%{
while fileID ... |
clear; clc; close all;
% Gp1 = 1 / (s + 1);
filename = 'cost_ideal.mat';
myVars = {'t','y'};
S0 = load(filename, myVars{:});
% Gp2 = 1.2 / (0.9 * s + 0.8);
filename = 'cost_actual.mat';
myVars = {'t','y'};
S1 = load(filename, myVars{:});
%plot(S0.y(:,1), S0.y(:,2), 'x-');
%hold on;
%plot(S1.y(:,1), S1.y(:,2), 'x-');... |
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%%README:
%%This function is used to save the workspace. Data is an optional input
%%variable which is saved. It is possible to specify a prefix which is
%%saved before the rest of the file name. The format is as follows:
%%userstring_With... |
% PTV_STRING_UIMENU
%
% Function generates UIMENU with list of languages
% Copyright is with the following author(s):
%
% (c) 2012 Juraj Oravec, Slovak University of Technology in Bratislava,
% juraj.oravec@stuba.sk
% (c) 2012 Monika Bakosova, Slovak University of Technology in Bratislava,
% monika.bakosova@stuba.sk... |
function [] = config_set_up(model)
activeConfigObj = getActiveConfigSet(model);
% disp(activeConfigObj);
% lls = fieldnames(activeConfigObj);
% lls = get_param(activeConfigObj, 'Components');
% lls = get_param(activeConfigObj, 'DialogParameters');
% lls = get(get_param(activeConfigObj,'handle'));
% for i=1:length(lls... |
function iid = prueba_acf(data,verbose)
aut=xcorr(data);
[maxaut idx]=max(aut);
if verbose==1
figure
stem(1:length(aut(idx+1:end)),aut(idx+1:end)./maxaut);
hold on
plot(1:length(aut(idx+1:end)),1.96/sqrt(length(data))*ones(length(aut(idx+1:end)),1),'r-',1:length(aut(idx+1:end)),-1.96/sqrt(length(... |
function [x, Ci, Cf] = TrustRegionFour(StepBound, eta, StopError, xstart, B0, Xdata, ydata, UpdateType)
E = Inf; Delta = StepBound/2;
x = xstart; B = B0;
Ci = 0; Cf = 0;
while E > StopError
x0 = x;
[f, g] = N2GPLogLike(Xdata, ydata, x0);
Cf = Cf + 1;
pd = dogleg(B, g, Delta); % one linear solve
if min(abs(x0+pd))... |
% WRITE YOU CODE HERE!!!
function dots = projectData(mat,eig_vec,k)
% get the length of matrix
n=length(mat);
dots = zeros(n,k);
for i = 1:n
% loop in matrix and find dot product of all the points and store it in dots
for j = 1:k
dots(i,j) =dot(mat(i,:),eig_vec(:,j));
end
end
|
function [ Img,a ] = flood_fill( i,j,Img,a )
%UNTITLED3 Summary of this function goes here
% Detailed explanation goes here
connectivity = [-1 -1 -1 0 +1 +1 +1 0; -1 0 +1 +1 +1 0 -1 -1];
for m=1:1:8
if Img(i+connectivity(1,m),j+connectivity(2,m))== 1
Img(i+connectivity(1,m),j+connectivity(2,m))=... |
clc; clear all; close all;
dirName = 'DK0:[MICROCT.DATA.00002000.00026768]' ;
fid = fopen('FEtoITS.csv','w');
CTfileNames={'E0012609_ITS_SUB_R15.AIM;1','E0012499_ITS_SUB_R15.AIM;1','E0012497_ITS_SUB_R15.AIM;1','E0012552_ITS_SUB_R15.AIM;1','E0012596_ITS_SUB_R15.AIM;1','E0012597_ITS_SUB_R15.AIM;1','E0012600_ITS_SUB_R... |
function [z_gmax, diff_gmax] = analyze_roi_erp_zscore(data_dir, sub_prefix, ...
data_file_prefix, sub_chs_analysis, sub_chs_to_average)
% script to plot each subject's ROI's mean erp and difference erp.
% David Huberdeau
% data_dir = '/home/david/group';
target_files_prefix = data_file_prefix; %which file to look ... |
% test QP solver
rng(1);
n = 2000; % dimension of x
m = 1000; % number of equality constraints
x0 = randn(n,1); % create random solution vector
A = randn(m,n); % create random matrix A
b = A*x0;
% generate a well-conditioned positive definite matrix
P = rand(n);
P ... |
function mlogfid = mlog(action,data,volume)
%MLOG Manages messages to the log in MAESTRO.
% MLOG(ACTION,DATA) will perform the action as described in ACTION.
%
% MLOG(ACTION,DATA,VOLUME) will assume a message volume as specified by VOLUME
%
% MLOGFID = MLOG(...) will return the fid of the current log.
%
% ACTIO... |
function writeLFPRecordHDF5(FID, pop_ind, LFP_neurons)
% write data recording for local field potential
% FID: file id for writing data
% pop_ind:
% LFP_neurons: logical vector that specifies which neurons contribute the
% LFP measure. For multiple LFP measures, use multiple rows.
% for C/C... |
%% Optimisation of DESPOT1
%David Leitao (david.leitao@kcl.ac.uk); 23-04-20
%Requires the handles to the SPGR steady-state signal function and its
%derivative -> needs path to library folder
clearvars; close all; clc;
%% Sequence constraints and tissue parameters values
TRmin = 5; %Minimum TR [ms]
TEspgr = 2; %SP... |
function [xmin, ymin, xsize, ysize] = getFalseEyeRect(I,yminrect,XSIZE,YSIZE)
[imX, imY] = size(I);
xsize = XSIZE;
ysize = YSIZE;
% cantonada superior esquerra
xmin = uint32(rand * (imY - xsize - 20 ));
ymin = uint32(rand * (imX - ysize - 20));
%comprobar Y
while( (ymin ... |
function a=read_bin_8bit(infile)
%fid=fopen('Basketball.bin');
fid=fopen(infile);
a=uint8(zeros(1024,1024,96));
for ia=1:96
a(:,:,ia)=fread(fid,[1024,1024],'uint8');
end
fclose(fid);
|
clear all;
height=100;
width=100;
window_s=1;
window_e=height;
window_h=window_e-window_s+1;
%as=[0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.8];
t=0:2:400;
tau=16;
tau_off=5;
phi=0.48;
time=[0];
ColMap=[
1 1 1;
0 0 0;
0 1 1;
1 0 0];
dd='/home/xiaoling/SpiralWave/data/';
matrix=l... |
seed=23;
rng(seed);
min=-1000;
max=1000;
A=(max-min)*rand(1000,1000)+min;
B=[(15 - seed)*rand(1)*10, (15 - seed)*rand(1)*60];
store=A(:,1);
help=find(store<B(1,1)&store>B(1,2));
C=A(help,120:130);
D=max(C,[],2); |
% Checks whether a (sub)graph is complete, i.e. whether every node is
% linked to every other node. Only defined for unweighted graphs.
% INPUTS: adjacency matrix, adj, nxn
% OUTPUTS: Boolean variable, true/false
% GB, Last Updated: October 1, 2009
function S=iscomplete(adj)
S=false; % default
adj=adj>0; % remove w... |
function [ R ] = radpcalc(str,dip,rak,faz,inc)
%[ R ] = radpcalc(str,dip,rak,faz,inc)
% For an earthquake with geometry defined by strike, dip and rake, this
% script takes input vectors of azimuth and incidence angle and computes
% the radiation amplitudes for each ray leaving the source
%
% INPUTS
% str = fault ... |
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