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%% Cross fold validation function for given parameters and training set
%
% Ke Ma & Chris Bodden
%
function [tune_accuracy] = llc_tune(filenames_train, labels_train, image_dir, data_dir, params)
%% parameters
if(~exist('params','var'))
params.maxImageSize = 1000;
params.gridSpacing = 8;
params.patchSize =... |
function samples=rejectionSampling(propose,q,p,M,nr_samples)
%samples=rejectionSampling(propose,q,p,M,nr_samples)
%Rejection sampling from P.
%propose: samples from Q
%q: proposal density
%p: target density
%M: normalization constant such that M*q(x)>=p(x) for all x
nr_proposals=ceil(10*max(1,M)*nr_samples);
nr_batch... |
function Xk1 = FuncNonLinDTS(Xk, uk)
Xk1 = 1/2*Xk^2+Xk-2*uk; |
clear all;
clc;
N=20;
[D,x]=cheb(N);
a=1; b=3;
t=0.5*(b-a)*x + (b+a)/2;
I=eye(N+1);
D1=D;
D2=D1^2;
A=D2 + diag(1./t)*D1 - diag((1./t).^2 )*I;
R_t = zeros(N+1,1);
A(N+1,:)= I(N+1,:); R_t(N+1)=5; %A(N+1,:)= 0;A(N+1,N+1)=1;
A(1,:)= I(1,:); R_t(1)=2; %A(1,:)= 0;A(1,1)=1;
y_sol=inv(A)*R_t;
figure(1)
plot(t,y_sol);
|
%% clean
clear all
close all
clc
%% Load and read files
humanHEXA = genbankread('humanHEXA.gb');
mouseHEXA = genbankread('mouseHEXA.gb');
%% Retrieve the nucleotides and the coding region sequence
humanSeq = humanHEXA.Sequence;
humanCDS = humanHEXA.CDS.indices;
mouseSeq = mouseHEXA.Sequence;
mou... |
clear all; close all;
Q = 1;
im_file = sprintf('Q%d.bmp', Q);
im_file_d = sprintf('Q%dd.bmp', Q);
cal_file = sprintf('SnellCalib-Q%d.dat', Q);
out_file = sprintf('tmp_Q%d_o.dat', Q);
in_file = sprintf('tmp_Q%d_i.dat', Q);
%./test_CoordinateTransform 0 ../matlab/calibration/SnellCalib-Q1.dat t1.dat t2.dat no
CTexe... |
A=randn(1,10) %am generat vectorul v, cu elemente aleatoare, dupa o distributie gaussiana
j=0 %am initializat un contor j pentru a numara cate elemente din v sunt negative
for i=1:1:10 %parcurgem vectorul
if A(i)<0
j=j+1 %de fiecare data cand intalnim un numar negativ, j-ul se incrementeaza
... |
function [ recal ] = globalRecal(data,flag)
%globalRecal - perform global recalibration of an imzML file using a few
%sentinel ions
if nargin == 1
flag = false;
end
% Define the ions for assessment
ions = [255.2329 281.2485 465.3043 536.5047 744.5548 885.5498]';
hw = 15;
% Extract images
[mz,~] = getImages(data,... |
clear all
close all
N1= 10;
N2= 10 ;
Moc=[]; Frecyklu=[]; Twyrury=[];Twyrecyklu=[];Twerecyklu=[];Frury=[];
Dane=importdata('Data.txt');
tryb=Dane(1,1);
if tryb==0
a=Dane(:,2);
b=Dane(:,3);
c=Dane(:,4);
d=Dane(:,5);
e=Dane(:,6);
for i=1:N2
p=(i-1)*N1+1; k=i*N1;
Twyrury=[Twyrury; a(p:k)'];
... |
classdef Dynamic < solver.blazer.Blazer
properties
end
methods
function this = Dynamic(varargin)
this = this@solver.blazer.Blazer(varargin{:});
end
end
end
|
% function cam_calib()
%FUnction Constants
%Number original images to take
Num_orig = 100;
%Number of randomly selected to save
Num_save = 10;
%Get and save the images
% [I, D] = get_images(Num_orig);
% save_images(I,D,Num_save);
%Now do image processing on the images
addpath('Calib_tool2');
%Use the Bouguejt Ca... |
function [output_name] = remove_extension(input_name)
[pathstr, name, ext] = fileparts(input_name);
output_name = [pathstr name];
end
|
function setBlockPosition(block, x, y, width, height)
% Set block position and size
%
% setBlockPosition(block, x, y, width, height)
%
% Sets a block's position and size. If any parameter is specified as NaN or
% not provided, preserves the existing value.
if blockExists(block)
posOrig = get_param(block, 'Position... |
function X = uq_all_invcdf(F, Marginals)
% X = UQ_ALL_INVCDF(F, Marginals):
% Calculates the inverse Cumulative Distribution Function
% given CDF values of a random vector collected in F matrix.
% Each column of F corresponds to a component of the random vector that
% follows some distribution with so... |
% Ustawienia MATLABa
clear all;
close all;
warning off MATLAB:divideByZero;
warning off MATLAB:singularMatrix;
format short; % e
%clc;
%% ------------------- Wstępne ustawienia ------------------- %
global L M T SPS iS step_ step_time Ld Md Ywyj Yreg;
% SPS - Samples Per Second
% częstotliwość próbkowania
SPS =... |
function [x_n] = Particle_Locate_HostCell(N0, N5, Xp, x0, x1)
x_n = floor((Xp-x0)/(x1-x0)*(N5-N0)) + N0; |
function HeaderInfo=GetHeaderInfo(PlanDestPath, ReadCommentFlag)
FileList=GetFileList(PlanDestPath);
if isempty(FileList)
HeaderInfo=[];
return;
end
FileList=char(FileList);
FileList=strjust(FileList, 'right');
FileListEnd=FileList(:, end-5:end);
FileList=strjust(FileList, 'left');
FileList=ce... |
% pass in two matrices of i-vectors, compare each train vector against all
% the test vectors to 'match' them. generate error/accuracy report
function [pruned_result,t_p_percent] = findIvectorMatch(train,test)
% row gives the number of LDA dimensions that were significant
% column gives the number of original models
... |
function colorimg = drawLinesOct(img, lines, varargin)
% DRAWLINESOCT Draws a OCTSEG line on an oct image. Differences in
% Z-direction are interpolated.
%
% COLORIMAGE = drawLinesOct(IMG, LINES, VARARGIN)
% COLORIMAGE: Image with a line drawn onto, in RGB format.
% IMG: Oct image, either RGB or grayvalues
% LINES: Mu... |
% Take an optimized solution and check performance, using parameters that
% can differ from those used in the original calculations. This file
% calculates lateral force Fx vs. x.
% This file is part of the SPOT package, as described in
% M. A. Taylor, “Optimizing phase to enhance optical trap stiffness,”
% Sci. Rep... |
function [sse,outparams] = fitGaussian(params,x,y)
%% setup Gaussian
peak = params(1); % amplitude of gaussian at peak
fwhm = params(2); % width (aka standard deviation)
cent = params(3); % x-axis point of peak lcation
% predicted value
predY = peak * exp( (-(x-cent).^2) ./ (2*fwhm^2) );
% predictors and sse (minim... |
function [u p tlist]=Rightpass(b,D0,F0,Ldomain,Tau)
%LEFTPASS2 Summary of this function goes here
% Detailed explanation goes here
diff=2.97e-10/D0*(Ldomain)^2;
%2.97e-10m^2/s is D for the 1.5nm diameter sphear;
domain=(1e-9)*(Ldomain);%unit is nm;
strd=num2str(diff);
strf=num2str(F0);
strdom=num2str(domain);
strL2=n... |
function idx = FS_Premotor_WavPlot(song,align)
ds = 1000;
fs = 48000/ds;
cfs = 25; % video framerate
align = align/ds;
figure();
song(song==0) = mean(min(song));
imagesc((1:size(song,2))/fs,[],song); colormap(bone);
figure();
l = linkage(song(:,round(align):align+6*fs), 'ward', 'correlation');
% subplot(3,... |
% RotaryEncoderPlotFullSession plots the position and velocity data
% from a full recording session (see RotaryEncoderGUI.m)
%
% updated by Mai-Anh Vu, 10/24/2018
% updated by Mai-Anh Vu, 06/28/2019 to include 1 2d ball sensor
function BehaviorPlotFullSession
global session
figure
hold on
% velocity (red, ... |
%% plot SGD training path
xaxis = 1:length(test_errors);
fig_errors = figure;
plot(xaxis,train_errors);hold;
plot(xaxis,test_errors);
legend('train errors','test error')
title('errors vs epochs')
fig_losses = figure;
plot(xaxis,train_losses);hold;
plot(xaxis,test_losses);
legend('train loss','test loss')
title('losses ... |
function [ P1,L1 ] = CN2D( JPR,I,JPT,Z,RTS,ON,O2N,N2N,NOP,NE,N2PLS,DISN2D,UVDISN,NPLUS,N2P,N2D,OPLS,NNO,N2A )
%CN2D CN2D
%
%.................... KEMPRN.FOR ......................................
%.. This file contains the chemistry routines for ions and neutrals
%:::::::::::::::::::::::::::::::::::::::::::::::::::::... |
function filter = isObservable(fieldArr)
filter = logical([fieldArr.obs]); |
%构造合成数据集并送入hddcrp v2.0中进行训练，训练之后在这里显示训练结果
%%
close all;clear all;clc;
load ('./get_documents/docs76.mat')
trainss=docs;
for i=1:1:length(trainss);
p{i}=1:i;
q{i}=zeros(1,i);
end
cand_links=p';
log_priors=q';
save ('D:\code\mycode\HDDCRP_V3\synthetic\inputdata\synthetic_dat_76.mat','cand_links','log_priors','tr... |
function set_splash(splash_image_filename)
%try
% create a figure that is not visible yet, and has minimal titlebar properties
fh = figure('Visible','off','MenuBar','none','NumberTitle','off');
% put an axes in it
ah = axes('Parent',fh,'Visible','off');
dat = imread(splash_image_filename);
ih = imagesc(dat); daspect... |
%% Josh Barrios 4/6/2019
% Visualize ROIs from an entry in fluo_data
function plot_fig = ShowROIs(fluo_data,trial_ind)
plot_fig = figure;
imagesc(fluo_data(trial_ind).template);
hold on
for k = 1:length(fluo_data(trial_ind).ROI_locs)
plot(fluo_data(trial_ind).ROI_locs{k}(1,:),fluo_data(trial_ind).ROI_locs{k}(2,:... |
function SpinSingleFrame( capturePath, filePrefix )
%SPINSINGLEFRAME Summary of this function goes here
% Detailed explanation goes here
texTime = tic;
fprintf('Capturing %s...',filePrefix)
% Texture capture
%D3d.Viewer.SetBackgroundColor([0,0,0]);
D3d.Viewer.SetCapturePath(capturePath,filePrefix);
if (exist(capture... |
function [dbMean,dbStd,dbMedian,nSample] = subStaticsDeOutlier(cvData,dbOutlierZscore)
%
% 功能：获取没有 outlier 的统计量
%
bCont = 1;
nSample = length(cvData);
cvHit = true(nSample,1);
while(bCont==1)
cvZ = zscore(cvData(cvHit));
cvH = (abs(cvZ)>dbOutlierZscore);
if sum(cvH)>0
cvHit(cvHit==1)= (1-... |
function assignment_3()
close all; %to close all plots
clear all;
clc;cl
%------------------------------------
% input Parameters in Functions
% p_() is the ordinary differential equation (1)
% p() is the analytical solution
%------------------------------------
% given Values
% p(0) = 20 (2)
%initial v... |
function [range] = findCommonTimeRange(timedht, timetemp)
start = find(timetemp == timedht(1));
stop = find(timetemp == timedht(end));
range = start:stop;
assert(all(timetemp(range) == timedht));
end
|
classdef object < dynamicprops
% OBJECT Root Class for all Azure wrapper objects
% Copyright 2016 The MathWorks, Inc.
properties (Hidden)
Handle;
end
methods
%% Constructor
function obj = object(~, varargin)
% logObj = Logger.getLogger();
... |
function llk_trial=Exp4_TrialLikelihood(llk_responses)
%% Collapse llk by trial
llk_trial=squeeze(sum(log(llk_responses+eps),2));
|
A = imread('DanaHallWay1/DSC_0281.jpg');
A = rgb2gray(A)
[y,x,m] = harris(A,1000,'tile',[2 2],'disp'); |
%% Prepare Acqknowledge data for SPM_FNIRS analysis
function SPM_FNIRS_preparation_myrto_cogn_stroop()
% EDIT BELOW HERE TO FIT YOUR DATA AND ANALYSIS REQUIREMENTS
%-------------------------------------------------------------------------
%-------------------------------------------------------------------------
... |
function [ bestX, bestY ] = differentialEvolution( costFnc, options )
% Differential Evolution algorithm implementation
% Tries to find the best value for the given function inside the specified
% constrains
%
% costFnc - The cost function
% options - Optimization options
% numVars - Number of variabl... |
function [rci, cci, minobj, rec] = ecc(mat, nrc, ncc, varargin)
% ECC Bregman co-clustering algorithm using squared Euclidean distance.
%
% [rci, cci, minobj, rec] = ecc(mat, nrc, ncc, [[argID,] value, ...])
%
% Examples:
% [rci, cci] = ecc(mat, nrc, ncc)
% [rci, cci, minobj] = ecc(mat, nrc, ncc)
%
% INPUT:
% mat ... |
classdef HorizontalStabilizerSimple < Helicopter
%HORIZONTALSTABILIZERSIMPLE
% 此处显示详细说明
properties (GetAccess = protected)
a_0; % 升力线斜率
delta; % 阻力系数
s_HS; % 平尾面积
s_e; % 升降舵面积
xi; % 平尾后掠角
x_HS;
y_HS;
z_... |
function PlotClassBalance(fignum, HLabels, labelmap, ClassBalanceFigureFileName,varargin)
figure(fignum); clf; DockFigure(fignum);
histogram(HLabels);
xticks(unique(HLabels))
xticklabels(labelmap);
xtickangle(45)
ylabel('# Samples')
mytitle = {};
[~,mytitle{1},~] = fileparts(ClassBalanceFigureFileName);
mytitle{1} = st... |
function [cfr] = rls_auto(X, y, opt)
% rls_auto(X, y, opt)
% computes a RLS classifier, with automatic selection of primal/dual procedure.
% The regularization parameter is set to the one found in opt.paramsel.
% In case of multiclass problems, the regularizers need to be combined with the opt.singlelambda function.
%
... |
function [bbSamp,imSeg,totNum] = sampOperations(im)
rgb1 = get_color(im);
vari = 20;
imSeg = im(:,:,1)<=rgb1(1,1) + vari & im(:,:,1)>=rgb1(1,2) - vari & im(:,:,2)<=rgb1(1,3) + vari & im(:,:,2)>=rgb1(1,4) - vari & im(:,:,3)<=rgb1(1,5) + vari & im(:,:,3)>=rgb1(1,6) - vari;
% imSeg = bwmorph(imSeg,'dilate',3);
imSeg ... |
function D = histD(tracks,params)
% function D = histD(tracks, params) calculates the diffusion coefficient
% for each track in "tracks" and plots a histogram of D.
%
% Stephan Uphoff. 09.09.11
%
% params contains the following parameters:
pixel = params.pixel; % length per pixel
dT = params.dT; % time per frame
sigma... |
function varargout = addquiverc(varargin)
charargs = find(cellfun(@ischar,varargin));
axopt = find(strcmpi(varargin(charargs),'axes'));
axopt = charargs(axopt);
if (~isempty(axopt) && (axopt < nargin)),
ax = varargin{axopt+1};
else
ax = gca;
end;
switch get(ax,'NextPlot'),
case 'replace',
isHeld = false;
... |
function [ extr,rawmz,totsum ] = rawIonExtract(sp,xy2D,ions,ppmTol)
%rawIonExtract - extract ions and things from a raw file
% Read in the file entirely
%[sp,numP,xy,xy2D] = desiReadRaw([file.dir file.nam],true);
% Determine image size
nColumns = imzML.getWidth();
nRows = imzML.getHeight();
nIons = numel(ions);... |
function timemarker = time_simulation(myevent, ha_event, Fs)
% Description: To perform time that the ssvep experience's
% working for each trials
% Input:
% myevent : event vectors
% ha_event : axes handles
% Fs : sampling frequency
%
% Output: time_simulation % That the fig... |
%Problema 5
%2ms
subplot(3,1,1)
x=0:0.002:4;
f=0.25;
w=2*pi*f;
s=1.5*abs(sin(w*x));
plot(x,s)
grid
xlabel('t [s]')
ylabel('Amp [V]')
title('Graficul 1:2ms')
%20ms
subplot(3,1,2)
x=0:0.02:4;
f=0.25;
w=2*pi*f;
s=1.5*abs(sin(w*x));
plot(x,s)
grid
xlabel('t [s]')
ylabel('Amp [V]')
title('Graficu... |
% Fix early sessions that a single alldata was saved for all imaging
% sessions in a day.... Here we split alldata into n files, n=number of
% sessions.
%{
mouse = 'fni17';
imagingFolder = '150814';
%}
% set this:
nsess = 2; %length(alldata_fileNames);
%% Set filenames
[alldata_fileNames, ~] = setBehavFileNames(mou... |
function [ r ] = combineBinnedMatrix( data )
%COMBINEANDRELABEL Convert a matrix into a vector
% Call combineBinnedVector for each row of the matrix
m = max(max(data));
l = size(data,1);
r = zeros(l,1);
for i = 1:l
r(i,1) = combineBinnedVector(data(i,:), m);
end
end |
close all
clear;
addpath('param')
view = '4';
%rtype = 'i4t';
rtype = 't4i';
data = importdata([rtype, '_v', view, '.txt']);
data = flipud(data);
figure, bar3(data)
colormap jet
set(gca, 'XTickLabel', {'LinCCA', 'LinPLS', 'LinMvDA', 'LMvMDA', 'KCCA', 'KPLS', 'KMvMDA'})
set(gca, 'YTickLabel', {'200', '150', '100', '50'... |
function p = getp(cube_point,u,v)
% function: get P of one cube corner and its image coordinates
% input: cube_point coordinate of a cube corner, 1*3 matrix
% u x-coordinate of corresponding image
% v y-coordinate of corresponding image
% output:p matrix P, 2*12 matrix
... |
%analyse data with suite2p
%mag 5: diameter 35 and 100 components
%mag 2: diameter 15 and 300 components
%-> .proc file
%register suite2p analysis across days
registers2p %gui
%--> .reg file
%load last day (857_p41) as dataset 1 and register other days to it as
%dataset 2. Save in file of dataset 2
%%
%create li... |
function [accuracy] = run_NaiveBayes( X_train, y_train, X_test, y_test )
model = NaiveBayes.fit(X_train, y_train);
res = model.predict(X_test);
accuracy = getAccuracy(res, y_test);
fprintf('Accuracy : %0.2f\n', accuracy);
end
|
function sbxPCACleanSpatial(path, pcs, pmt)
%UNTITLED7 Summary of this function goes here
% Detailed explanation goes here
% ------------------------------------
% Parameters
downsample_xy = 2;
chunksize = 1000; % Parfor chunking
% ------------------------------------
% Make sure tha... |
% example: [a,b] = evaluateLevel2ObservableAgent('StraightLineAgent',7,1,8)
function [randomacc,learnedacc] = evaluateLevel2ObservableAgent(name,nmaps,CSIZE,XSIZE)
traces = cell(nmaps-1,1);
for i = 1:nmaps
traces{i} = ['trace-m' num2str(i-1) '-' name '.txt'];
end
correct1 = 0;
correct2 = 0;
total = 0;
... |
function [O]= encode_msg(inp,message,c_bit);
inp(size(inp,1),size(inp,2),1)=length(message);
inp(size(inp,1),size(inp,2),2)=c_bit;
%the output pixel is assigned the value of the pixel that the point falls within. No other pixels are considered.
inp=imresize(inp,[size(inp,1) size(inp,2)],'nearest');
len... |
function main()
clc
make
clc
dic_type = 'Rand_sign';
n = 512;
redundancy = 4;
sigma = 0.02;
T = round(0.1 * n);
lambda = 4 * sigma;
A = getDictionary(dic_type, n, redundancy);
max_iter = 1000;
accuracy = 1e-4;
% experiment.clean_signal = b;
% experiment.noise = no;
% experiment.sigma = ... |
function Random_2P(k,gcf,aviobj)
[v_x,v_y,x,y]=getvec(2)
i=0;
x_new=[];
y_new=[];
for a2=-0.5:0.1:1.5
i=i+1;
x_new(i)=a2*v_x(1)+x(1);
y_new(i)=a2*v_y(1)+y(1);
% scatter(x_new,y_new,'.','b');
plot(x,y,'g','linewidth',2);
plot(x,y,'+','MarkerFaceColor','red','MarkerEdgeColor','r',... |
%This project works for coin flips
clear all;
clc
%Question 1
coin_result1 = rand(1,50);%Simulate tossing a fair coin
coin_result1(coin_result1 >= 0.5) = 1;%Heads
coin_result1(coin_result1 < 0.5) = 0;%Tails
num_heads1 = sum(coin_result1);
run1 = stat_run(coin_result1);
longest_run = max(run1);
x1 = [0,1];... |
% This is a box plot code of real world data experiment. Since the real world experiment time is too long, so we save the result and draw
% the figure to show the performance.
rng(2021);
for fakeloop = 1
for i = 1:2
figure(i);
for j =1:2
k = 2*i+j-2;
if i == 1 && j==1... |
function imu = imuclbt(imu, clbt, eb, Ka, db)
% IMU simuation by adding calibration errors.
%
% Prototype: imu = imuclbt(imu, clbt)
% Inputs: imu - ideal IMU simulation data
% clbt - calibration struct
% Output: imu - IMU simulation output
%
% See also clbtfile, imuadderr, imulvS, sysclbt.
% Copyright(c) 2009... |
X=imread('Grayscale_8bits_palette_sample_image.png');
Y(:,:,1) = X;
Y(:,:,2) = X;
Y(:,:,3) = X;
[r,c] = size(X);
XLim = [0 c] + 0.5;
YLim = [0 r] + 0.5;
hG = subplot(1,3,1);
hC = subplot(1,3,2);
hB = subplot(1,3,3);
image(XLim, YLim, Y, 'Parent', hG);
XTick = []; ... |
function dx = switchedSubSys1(t,x)
% global variables
global gPi1;
global gY;
global gHatX1;
global gHatM;
global gTheta;
global gTheta1;
global gOdeTime;
dx = zeros(size(x));
% parameters of the controller
rp = 0.1;
barRp = 0.08;
c1 = 5;
c2 = 6;
a1 = 5;
a2 = 1;
rTheta = 1;
barRTheta = 0.8;
% parameters of switchd... |
function [ L ] = rgb2lumi( RGB )
[n,~]=size(RGB);
for i=1:n
L(i,1)=(RGB(i,1)./255)^(2.2);
L(i,2)=(RGB(i,2)./255)^(2.2);
L(i,3)=(RGB(i,3)./255)^(2.2);
end
end
|
%% Example from the note
fea_X = [4,2,2,3,4,9,6,9,8,10;1,4,3,6,4,10,8,5,7,8];
gnd_X = [1,1,1,1,1,2,2,2,2,2];
%% Scatter the point on the 2D
fea_X1 = fea_X(:, ismember(gnd_X, 1));
fea_X2 = fea_X(:, ismember(gnd_X, 2));
[fea_Y, W] = new_lda(fea_X, gnd_X);
fea_Y1 = fea_Y(:, ismember(gnd_X, 1));
fea_Y2 = fea_Y(:, ismem... |
clear
close all
clc
addpath('../PHY');
%%
Fe = 20e6; % Frequence d'echantillonnage (imposee par le serveur)
Rb = 1e6;% Debit binaire (=debit symbole)
Fse = floor(Fe/Rb); % Nombre d'echantillons par symboles
%% Cha�ne TX
b = [1 0 0 1 0];
sl = modulatePPMperso(b,Fse);
%% test de modulate
t = (0:length(sl)-1)/Fe;
plot... |
clear all
[xy_origin ima_pattern] = get_real_points_checkerboard_vmmc (9, 14 * 8, 1);
image_name = 'Images/section1/720p/im';
xy_target = zeros ([10, 2, 9]);
H = zeros ([10, 3, 3]);
figure(1)
hold on
for i = 1:10
image = imread (sprintf('%s%d.jpg', image_name, i));
xy_target(i, :, :) = get_user_points_vmmc (... |
classdef (Abstract) GSM_Euler_Real < GSM_Euler
%GSM_Euler_Real Summary of this class goes here
% Detailed explanation goes here
properties
sim_pca = PCA_Cent();
pca = PCA_Cent();
end
methods
function obj = GSM_Euler_Real(ann,alpha)
obj@GSM_Euler(ann,alpha);
end
end... |
function [ ww, iter, status ] = WWBP( A )
%WWBP obliczanie wartości własnych metodą rozkładu QR bez przesunięć
% A - macierz wejściowa symetryczna
% ww - wartości własne
% iter - liczba wykonanych iteracji
% status - sposób zakończenia
maxIter=1e5;
status=1;
for i=1:maxIter
b=A-diag(diag(A));
if max(max... |
%% Estimator Variables
% This file was derived from work by Fabian Riether.
% Copyright 2017-2020 The MathWorks, Inc.
Estimator.inverseIMUGain = [1./Sensors.IMUAccelGain 1./Sensors.IMUGyroGain];
%% IMU
Estimator.IMU.filterAccel = designfilt('lowpassfir', 'FilterOrder',5, ...
'CutoffFrequency', 0.1);
[Estimator.... |
function data = extractDataScatter(d, xid, yid, CLim, colormap, strip_style)
% extractDataScatter - create a data struct for scatter plots
% data = extractDataScatter(d, xid, yid, CLim, colormap)
% d - a data struct from matlab describing a scatter plot
% xid,yid - reference axis indices
% CLim - a ... |
function ImageCheck
PatientFolder = 'L:\kirsten_thesis\data\patients\';
PatientList = dir( PatientFolder );
for i = 1 : size (PatientList)
if ( 0 == strcmp( PatientList(i,1).name, '.') && 0 == strcmp( PatientList(i,1).name, '..') )
PatientPath = strcat(PatientFolder, PatientLis... |
picture1 = imread('PicSample.jpg');
picture1 = rgb2gray(picture1);
picture1=double(picture1);
[M,N] = size(picture1);
F_picture1 = zeros(M,N);
F_picture2 = zeros(M,N);
%原始图像作dct分块变换和逆变换
F_picture1 = blkproc(picture1,[8 8],'mydct2');
I_picture1 = blkproc(F_picture1,[8 8],'myidct2');
figure,imshow(uint8(F_pi... |
rgb = imread('6.25image.png');
rgb = im2double(rgb);
r = rgb(:, :, 1);
g = rgb(:, :, 2);
b = rgb(:, :, 3);
mol = 0.5 * ((r - g) + (r - b));
den = sqrt((r - g) .^ 2 + (r - b) .* (g - b));
theta = acos(mol ./ (den));
if b > g
H = 2 * pi - theta;
else
H = theta;
end
H = H / (2 * pi);
mol = min(min(r, g), b);
S ... |
% We want to find an integer value a, taking values in the range from 3 to 5,
% such that the polynomial ax4+y4+uxy+1 has a lower bound larger than t,
% for any ?1¡Üu. A trivial and contrived example of course, but here is the compact YALMIP model.
clear;clc;
sdpvar x y t u a
p = a*x^4+y^4+u*x*y+1;
F = [uncertain(u... |
% ber_ray
% y=Hx+n
%
%
% DEPRECATED
function ber = ber_ray(SNR)
load precision.mat
x=zeros(1,BLOCK_SIZE);
y=zeros(1,BLOCK_SIZE);
x_hat=zeros(1,BLOCK_SIZE);
errs=0;
for ii=1:N_BLOCKS
% random block coming from source (already modulated)
x=randsrc(1,BLOCK_SIZ... |
close all;
clear
autoRetrainWithThreholdANFIS;
predicted1 = predictedV;
autoRetrainWithThreholdNARX;
LRMNewJob;
predictedV3 = predictedV;
figure(1)
plot(predicted1);
hold on;
plot(actualV);
hold off
legend('Predicted values generated by ANFIS','Actual values')
xlabel('Time with 1-Hour unit')
ylabel('Mean of memory cons... |
function analyzeData( dat, time_stamp, subplt_h, is_log )
%% Analyze data
% Author: Yitian Shao
% Date: 11/29/2016
%==========================================================================
if nargin < 4
is_log = 1; % Plot spectrum in log scale by default
end
avg_kernel = ones(20,1)/20;
signal_en = length(dat);
i... |
%% homework 1.2
clear;
clc;
image=imread ("002.jpg");
temp=im2double(image);
results=mydct(temp);
figure
imshow(image);
%% show dct
figure
imwrite(results,"dct.jpg");
imshow(results);
%% show idct
figure
final=imydct(results);
imwrite(final,"idct.jpg");
imshow(im2double(final));
function [out] = myd... |
% Es 16
% Given a FIR filter h(n) = 1, n in [0, 19].
% Evaluate the DFT of the filter
% Visualize the DFT versus normalized frequency [0.5, 0.5).
% Pad the array with zeros until reaching 100 samples.
% Evaluate the DFT of the padded h(n) and visualize it.
% Are the two DFTs equal? Comment on the results.
close all
c... |
%% Draw the result
% Input: X -- data; C -- labels
function Draw(X, C)
figure('position',[300,300,250,250]);
C_uq = unique(C);
cm = colormap(jet(length(C_uq)));
for j = 1: length(C_uq)
IDX = find(C==C_uq(j));
plot(X(IDX,1),X(IDX,2),'.','color',cm(j,:)); axis equal; ho... |
function ShoulderCalcs (personHeight, maxShaftMoment, maxTorsionFromSpring, ...
shaftDiameter, shaft)
maxShaftMoment = UnitConversion.NewtonM2PoundFInch(maxShaftMoment);
maxTorsionFromSpring = UnitConversion.NewtonM2PoundFInch(maxTorsionFromSpring);
%% Design Variables - Calcs 1
d = UnitConversio... |
%Demographics Table
%Initializing
clc
clear
source = 'scorebook.xlsx';
pathOUT = 'D:\Box Sync\Box Sync\Clinical Scores\Stat\Demographics Figures\'
%Load demographics tables into different datacubes
dataCube_apple = readtable(source,'Sheet',1,'TreatAsEmpty','on');
dataCube_XsensC = readtable(source,'Sheet'... |
function [y, dzdw, dzdb] = nnlinear(x, W, B, dzdy, varargin)
%NNLINEAR linear mapping unit.
% Y = NNLINEAR(x, W, B) calculates the linear mapping between two layers.
% X is assume in dimension D x N; Y in d x N; W is the coefficient in d x D
% and B is the bias vector of dimension d
%
% DZDX = NNNEWSVENDOR... |
classdef FeaturesMatcher < handle
%FEATURESMATCHER Feature matchers class
%
% See also: cv.Stitcher, cv.FeaturesFinder, cv.DescriptorMatcher
%
properties (SetAccess = private)
id % Object ID
end
methods
function this = FeaturesMatcher(matcherType, varargin)
... |
function apply_stats_ranges_overlay(ax_handle, data_output, az, el)
plot3(ax_handle,...
data_output.positions.mean(1),data_output.positions.mean(2),...
data_output.positions.mean(3),'xk','MarkerSize',10);
% circle_plot(ax_handle, [0 0 0], data_output.distances.mean, az, el, 'k-');
circ... |
% to be uncommented
fileID = fopen('varin_3.txt','r'); % CoE Models
varin_3 = fgets(fileID);
fclose(fileID);
%varin_3 = '/net/isi-backup/restricted/face/SITW_v2_parsed/controles_intensity_bl_man.mat';
% %varin_3 CoE models in here and in function_BELHUMER
% %varin_4 Parts models LPFuCE function_BELHUMER
%... |
clear
clc
loop=20000;
%% QAM Modulation order
loog_M=6;
% 4-QAM , N=130, HAZV=0,SISHMA=0.1231
%% Full subcarrier size
N=62;
hazv=2;
0.1969
0.1965
0.1961
for jj=1:loop
jj
b_2=randi([0 1],loog_M*(N/2-1),1);
c_2=reshape(b_2,(N/2-1),loog_M);
d_2=bi2de(c_2);
in_2=qammod(d_2,2^loog_M);
out_en=zeros(1... |
function [perfmodel1_fitted, perfmodel_fitted, eps_estimate ,K_estimate, temp, BIC_ll,AIC_ll,BMC] = ILmodelfitting(humandata)
load ILmodelpred
% Simulate an experiment in which a monkey decides at which of two
% locations an orientation change occurred
% set size (N) and magnitude of change (Delta) were vari... |
function [vertex,face] = read_ov(filename)
% read_ov - read data from OV file.
%
% [vertex,face] = read_ov(filename);
%
% 'vertex' is a 'nb.vert x 3' array specifying the position of the vertices.
% 'face' is a 'nb.face x 3' array specifying the connectivity of the mesh.
%
% OV format is "Object Table" format ... |
function stderror = serr(input, dim)
% function stderror = serr(input,dim)
%
% Quick and dirty standard error function.
% Ignores NaNs.
% Works on vectors or on first non-singleton dimension of input unless 'dim'
% is specified.
% If 'dim' is 'all', will operate on all elements of input.
if nargin <2
% find stan... |
function callVideoPlayer(handles, isCallback)
%% Description
% CALLVIDEOPLAYER Call video player show one frame of video.
% This function can only be called in two circumstances / cases:
% 1. called by playbutton callback funtion (play_Callback)
% 2. called by slider2Video function
%
% Copyright 2014-2015 Int... |
% Fiscal Policy Under Decentralized Fiscal Federalism:
% Complications for Liquidity Trap Management
%
% Second Year Paper: Extension of Correia et. al (2013) with decentralized U.S. fiscal federalism
% Andrew Fieldhouse
% Cornell University
% June 30, 2015
%% Code for Section III: Centralized vs. D... |
%% Unit_analysis_new
close all
%%
reload = 1;
%%
if reload == 1
clear all
load_folder = 'F:\Synced\Synced_individual'
group_folders = {'POM';'Cortical'};
reload =1;
end;
%
bin_size = 0.005;
spont_win = [0 0.05]
resp_win = [0.0001 0.03];
% Max and min depth for units to include
max_depth = -50; ... |
% This is the repository for the Matlab codes of the numerical simulations
% of plasmid dynamics in complex communities. The scripts can be used to
% generate the figures in the main text and supplementary information of the article
% "Variability of plasmid fitness effects contributes to plasmid persistence in bacteri... |
clc;
[ outarray, H, W, D, ID, scale] = pfmread_op('E:\程序代码\色调映射测试\pfm\gry\memorial_o876_gry.pfm');
input=outarray;
%此函数是根据JPEGXT里面的profile c的TMO建立的tonemapping函数
% 输入分别为：亮度矩阵， 位深度， 以及是否是浮点数
% 输出为一个从ldr映射到hdr的表；
isfloat=1; precision=16;
max_ldr=256;
max_hdr=double(2^precision - 1);
count=size(input,3);
input=double(inp... |
%% Loading data
close all;
%datdir = ['D:\\documents\\ucb\\singapore\\data\\PMsensortest\\SWARM_02282013'];
%datdir = ['D:\\documents\\ucb\\singapore\\data\\PMsensortest\\SWARM_03072013'];
datdir = ['D:\\documents\\ucb\\singapore\\data\\PMsensortest\\DH_data'];
pmdatafile = [datdir '\\data.mat'];
opcdatafile = [datdir ... |
function [R] = quaternionToRotationLH(q)
% Converts a quaternion to a left handed (post-multiplied)
% rotation matrix.
% http://en.wikipedia.org/wiki/Rotation_matrix#Quaternion
% fetch components
w = q(1);
x = q(1); % i
y = q(1); % j
z = q(1); % k
% Check the trace
... |
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