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function plotProperties()
set(gcf,'Position', [0,0,800,400])
set(gca,'FontSize',14)
set(gca, 'FontName', 'Times New Roman');
set(gca,'box','on');
set(0,'defaultlinelinewidth',0.5)
set(get(gca, 'xlabel'), 'interpreter', 'latex');
set(get(gca, 'xlabel'), 'FontName', 'Times New Roman');
set(get(gca, 'xlabel'), 'FontSize... |
function [theta, phi, bias] = lblDm(phiPriorMean, thetaPriorMean, biasPriorMean, phiInit, thetaInit, biasInit, phiPrec, thetaPrec, biasPrec, options, data, maxiter, dataNumber, impFeat, wPrior, dPrior)
savefile = strcat('modelsResult', num2str(dataNumber), '.mat');
dataN = sum(data,2);
numDocs = size(data, 1);
... |
%% Information
% Author:
% - Nicolas Kylilis, PhD in Synthetic Biology & Molecular Biology
% Date:
% - 20th Aug 2020
% Description:
% - Computer program that transfroms a part sequence to a StA_Level0 DNA
% assembly format sequence.
% -- Inputs: 1) the part sequence; 2) the StA format prefix&suffix
% sequence... |
function [partition, m, K, partition_bin] = pycrprnd(theta, sigma, n)
%
% PYCRPRND samples a partition from the Pitman-Yor Chinese restaurant process
% [partition, m, K, partition_bin] = pycrprnd(alpha, sigma, n)
%
%--------------------------------------------------------------------------
% INPUTS
% - the... |
function [ J, p ] = current1D( x, V, pb, pt )
%This gives the current density and charge distribution for a 1D voltage
%distribuion assuming boundary condition for leftmost side (i.e. set left
%to 0 V) and right (set righthandside to some voltage Vapp)
%Inputs
% V: array of voltages
% pb: boundary condition for conce... |
clc;
clear all;
global Psi T miu_k k;
k = 0;
% x0=[0 3 0 1 0 1 1 1 1 1 1 1 1 (0.3-0.5*1)/0.14+10*1 0.7/0.14 -0.3/0.14];
x0=[0 3 0 1 0 1 5 0 0 0 0 0 0 0 0 0 0];
TT=30;
[t,X] = ode23s(@TwoDOF_CIM,[0 TT],x0);
figure(1)
subplot(4,1,1)
% plot(t,Psi*inv(T)*X(:,11:13)','b','LineWidth',1.5);
plot(t,X(:,2),... |
function meandata = ReadFullCalImages(filepath,wavelength,ref,nSteps)
%Wavelength = scalar wavelength value
%filepath = string to .h5 file
%ref = 1x64 of mean reference fluxes normalized to first reference flux
%nSteps = number of measurements taken (64 usually)
fn = extractAfter(filepath,"Dichroic_Analysis\");
wv = ... |
function [obj,varargout] = plot(obj,varargin)
%@frdiff/plot Plot function for frdiff objects
Args = struct('HideTitle',0,'Color','b','GroupPlots',1,'GroupPlotIndex',1, ...
'ArgsOnly',0,'ReturnVars',{''}, ...
'Hist',0,'Max',0,'VMag',0,'VAng',0,'Corr',0,'HistBins',[], ...
'YYMeanVMag',0,'YYVAngMax',0,'YScale','... |
function [y,P,Y1]=ut_meas(h,X,Xn,Wm,Wc,R)
%[z1,P2,Z2]=ut_meas(hmeas,X1,Xn,Wm,Wc,R);
L2=size(X,2); n=size(R,2) ;
y=zeros(n,1);
Y=zeros(n,L2);
for k=1:L2
Y(:,k)=h(X(:,k),Xn(:,k));
y=y+Wm(k)*Y(:,k);
end
Y1=Y-y(:,ones(1,L2));
P... |
addpath('../')
region = fetchregion([43.450467, 43.546597], [-110.837225, -110.732854], ...
'display', true);
elevData = region.readelevation([43.450467, 43.546597], ...
[-110.837225, -110.732854], ...
'SampleFactor', 10, ...
... |
function [ nav, portfolio,tradelist ] = CalcY(position,fundInitValue,price,commission_index,slippageRatio,volume)
%% Calculate net value of portfolio
% 使用仓位计算净值，涉及价格、费用和滑点
% 核心方法
% [ nav, portfolio,tradelist ] = CalcY(position,fundInitValue,price,commission_index,slippageRatio,volume)
% position: TsMatrix类
% fundInitV... |
function [ avg_met_dev ] = avgMetDev( E, nz_buzz_times, nz_tap_times, plot_on )
%AVGMETDELAY Calculate the average metronome delay during a steady
%metronome
%Nicole Ortega @ 7/24/2017
met_period = E.met_period;
d = diff(diff(nz_buzz_times));
indx = find(d > .001 | d < -.001, 1, 'first');
steady_met = nz_buzz_times(1:... |
function [ output_args ] = plsr(ncomp)
[folder_path] = uigetdir('../stats', 'Load Wrist Stats Data');
sub_folder = dir(folder_path);
count = 0;
for p = 3 : length(sub_folder)
file_name = dir(fullfile(folder_path, sub_folder(p).name, '*.csv'));
file_path = fullfile(folder_path, sub_folder(p).name);
... |
addpath('/home/lixian/speech/MatlabCode/STRAIGHT/TandemSTRAIGHTmonolithicPackage002Test');
emotion=strvcat('neutral' ,'happy', 'angry','sad')
pdir=[pwd '/../'];
plotFigures = 0; % If you do not need plots, set this variable 0.
for jemotion=1:4%size(emotion,1)
dir=[pdir deblank(emotion(jemotion,:))];
mkdir([ di... |
function [Rule] = productRule
Rule.transform=@(controls)transform(controls);
Rule.evaluate=...
@(this_material_index,cell_index,controls)evaluate(this_material_index,cell_index,controls);
Rule.sensitivity=...
@(this_material_index,cell_index,controls)sensitivity(this_material_index,cell_index,controls);
end
%%%... |
function [gtrain gtest] = accuracySamples(m, delta, k)
# m = samplesNeeded(g, delta)
# Computes the least number of samples (m) needed to ensure that that the training error e
# is less than (100-delta) percent with a probability less than g.
# Inputs:
# g: The confidence level (0,1) with which we need to predict.
# d... |
clc;
%读取训练图片数据文件
[FileName,PathName] = uigetfile('*.*','选择测试图片数据文件t10k-images.idx3-ubyte');
TrainFile = fullfile(PathName,FileName);
fid = fopen(TrainFile,'r'); %fopen（）是最核心的函数，导入文件，‘r’代表读入
a = fread(fid,16,'uint8'); %这里需要说明的是，包的前十六位是说明信息，从上面提到的那个网页可以看到具体那一位代表什么意义。所以a变量提取出这些信息，并记录下来，方便后面的建立矩阵等动作。
MagicNum = ((a(1)*256+... |
function [error_M,error_A,P] = compare_2_endmembers(M1,M2,A1,A2,m,n,...
names,wl,show_figure,options)
%COMPARE_ENDMEMBERS Summary of this function goes here
% Detailed explanation goes here
if nargin < 9
show_figure = 0;
end
if nargin < 10
options = [];
end
A1 = double(A1);
% use_uncertainty = 0;
var_d... |
function [newCandidate,bestGenArray] = PlusSelection(candidate, bestGenArray, mu, i)
[~,I]=sort(candidate.fit,'descend');
%best value for each generation
bestGenArray(i)= candidate.fit(I(1,:),:);
newCandidate.binx(1:mu,:) = candidate.binx(I(1:mu),:);
newCandidate.biny(1:mu,:) = candidate.... |
A = load('/home/harald/ws/scan_match/logs/lidar_raw.txt');
angle = A(:,2);
dist = A(:,3);
X = cos(angle).*dist;
Y = sin(angle).*dist;
offset = 0;
fig = figure;
hax = axes;
hold on;
line([offset offset], [0 3635],get(hax,'YLim'),'Color',[1 0 0])
line([offset 2430+offset], [3635 3640],get(hax,'YLim'),'Color',[1 0 0])... |
function PK_model_data_voxelwise = create_voxelwise_PK_model_data_struct(PK_model_data_scanwise, varargin)
fields_to_ignore = {'Info'};
if length(varargin)
fields_to_ignore = {fields_to_ignore{:} varargin{:}};
end
% Get a list of struct fields to process
struct_fields = fieldnames(PK_model_data_scanwise);
valid_id... |
function Irow = inertia_row_5(rob,in2)
%% INERTIA_ROW_5 - Computation of the robot specific inertia matrix row for corresponding to joint 5 of 6.
% =========================================================================
%
% Irow = inertia_row_5(rob,q)
% Irow = rob.inertia_row_5(q)
%
% Description::... |
function [ R, x, stepT ] = Comp( gyro, Mea, sf, parameters )
N = size(gyro,2);
dt = 1/sf;
%% settings
% angular velocity noise parameters
if exist('parameters','var') && isfield(parameters,'omegaNoise')
randomWalk = parameters.omegaNoise.randomWalk;
biasInstability = parameters.omegaNoise.biasInstability;
els... |
function [data,flag_task] = Trans(veh_info,TimeToGo)
%车辆和VEC传输任务
setting;
d = sqrt(d_r^2 + (RoadLength/2 - veh_info(1,1))^2);
if d > Radius
flag_task = 1; %传输计算任务失败
else
Rate = veh_info(5,1) * log(1 + P_t * d^(-P_loss) / P_n); %传输速率 单位：bit/s
data = veh_info(9,1) - Rate * TimeToGo / 10^6;
flag_task = ... |
function tof_map = threshold_picker(varargin)
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%varargin{1}: rfdata
%varargin{2}:kgrid
%varargin{3}:frequency [kHz]
%µ«¢l@Åg`æªğo·éD
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%ú»
if nargin == 2 % MgSügFQMH
rfdat... |
%THINNING Applies a binary blob thinning operation, to achieve a skeletization of the input image
%
% dst = cv.thinning(src)
% dst = cv.thinning(src, 'OptionName',optionValue, ...)
%
% ## Input
% * __src__ Source 8-bit single-channel image, containing binary blobs, with
% blobs having 255 pixel values.
%
%... |
classdef side
%SIDE Summary of this class goes here
% Detailed explanation goes here
properties
xA
yA
xB
yB
m
p
xMatrix
yMatrix
end
methods
function obj = side(xA,yA, xB, yB)
%SIDE Construct an instance o... |
clear;
addpath('D:\SEMESTERS\Sem7\neural\project\libsvm-3.18\libsvm-3.18\windows');
s = RandStream('mt19937ar','Seed',1);
RandStream.setGlobalStream(s);
n_points = 20;
range = 10;
X = range*rand(n_points, 2);
n_plots = 100;
psfile=[strtok('test','.') '.ps'];
pdffile=[strtok('test','.') '.pdf'];
... |
function dsigma_dq = dsigma_dq(q1,q2,q3,q4,q5,th)
%DSIGMA_DQ
% DSIGMA_DQ = DSIGMA_DQ(Q1,Q2,Q3,Q4,Q5,TH)
% This function was generated by the Symbolic Math Toolbox version 8.5.
% 22-Apr-2020 15:08:02
t2 = sin(q1);
t3 = q1+q2;
t7 = th.*4.0e+2;
t4 = cos(t3);
t5 = sin(t3);
t6 = q3+q4+t3;
t8 = t2.*1.... |
clear var acciones
aux_estado = [0 0 0; 0 0 0; 0 0 0];
acciones = [];
for i = 1:length(experiencias)
if experiencias(i).E == aux_estado;
aux_accion = experiencias(i).A;
acciones = [acciones aux_accion];
end
%
% if experiencias(i).R == 1
% acciones = [acciones aux_accion];
% ... |
function [newModuleFrames] = transform_snake(moduleFrames, T)
% TRANSFORM_SNAKE
% [new_module_frames] = transform_snake(module_frames, T)
%
% Given a shape of the snake in the form of a set of homogeneous
% transforms, and a new homogeneous transform, the snake is transformed to
% a new body frame.
%
% For example: ... |
%LINEARFE linear FE solver
% LinearFE (L, EI, q, N) performs a linear finite element analysis on a
% beam. The beam has 4 degrees of freedom, given by:
% i,j=1: displacement at first node;
% i,j=2: rotation at first node;
% i,j=3: displacement at second node;
% i,j=4: rotation at second node.
% ... |
clear;
global b;
J = [2, 1;
3, 2];
[eigvec, eig] = eig(J);
lam1 = log(eig(1,1));
lam2 = log(eig(2,2)); |
% The RemoveAction function helps to creates an image that
% has the action removed by applying a median filter.
%
% Input: sourceImageArray - A 1xn 1D cell array containing n
% images, where each element is an RGB image
%
% Output: OutputImage - An RGB image (stored as 3D arrays of ui... |
function fig = ManageListFig()
% This is the machine-generated representation of a Handle Graphics object
% and its children. Note that handle values may change when these objects
% are re-created. This may cause problems with any callbacks written to
% depend on the value of the handle at the time the object was save... |
run('EO_boundary');
data_path = '~/Data/Extracted/bound_shift/';
subjects = { 'Daphne' 'Julia' 'Sucty' 'Leora' 'Loek' 'Dominiek' 'Chris' 'Sacha' 'Renout' 'Roel'};
n = numel(subjects);
classification_rates_ctrl = zeros(n, 12);
classification_rates_exp = zeros(n, 12);
Allchannels = [1:64];
channelsgood = A... |
function num = count_unique_keypoints (keypoints)
% num = COUNT_UNIQUE_KEYPOINTS (keypoints)
%
% Returns the number of keypoints that are unique with respect to
% center coordinates and size.
%
% Input:
% - keypoints: array of OpenCV keypoint structures
%
% Output:
% - num: num... |
%---- Implementación criterio de corte por estructura
% Una parte relevante de la población no cambia de generación en generación
function changed = compute_change(old_pop, new_pop)
global parte_pobl;
global error_estruc;
global structure_changes;
changed = 0;
inv_n = size(old_pop,1);
lotus_n = size(old_pop,2);
ind_... |
function [ Px, Py , delta_x, delta_y, x_mat, y_mat] = gen_dist( n,cx,cy,r1,r2,g1,g2,xmax,ymax,xmin,ymin )
%GEN_DIST Summary of this function goes here
% Calcul de la déviation nécessaire pour chaque rayon pour que les
% paramètre de distortion soient respectée. La fonction de distortion est
% calculée directement... |
function ERP = ctap_manu2_grdavg_oddball_erp(...
ERPS, cond, eeg_srate, path, name, loclab, PLOT)
if ~exist('PLOT', 'var'), PLOT = true; end
ERP = cell(numel(cond), 1);
%%%%%%%% Obtain condition-wise grand average ERP and plot %%%%%%%%
for c = 1:2:4
... |
%Add the current directory here
cd('C:\Users\...')
fileID_15=xlsread('number_of_green_pixels_15.xlsx');
fileID_10=xlsread('number_of_green_pixels_10.xlsx');
fileID_5=xlsread('number_of_green_pixels_5.xlsx');
year=fileID_15(:,1);
month=fileID_15(:,2);
year=year(month==2);
%Divide by 4.66 to produce km square... |
function [ nr_bits_per_symbol ] = test_constellation(type_of_mod)
%UNTITLED5 Summary of this function goes here
% Detailed explanation goes here
if strcmp(type_of_mod, 'qpsk') == 1
nr_bits_per_symbol=2;
elseif strcmp(type_of_mod, 'bpsk') == 1
nr_bits_per_symbol=1;
elseif strcmp(type_of_mod, '16-QAM... |
%% High Pass - Butterworth
%%Karamesinis Antonios-Rafail
%% AEM
a_1 = 8;
a_2 = 4;
a_3 = 3;
a_4 = 0;
%% Prodiagrafes
m = 0;
fp = (4 + m) * 10^3;
fs = fp / 2.6;
a_min = 24 + a_3*(6/9);
a_max = 0.5 + a_4/36;
w_p = 2*pi*fp;
w_s = 2*pi*fs;
Wp = 1;
Ws = w_p/w_s;
%% sintelestes a, e, taksi filt... |
function att1 = aligni0vn(imu, pos, t1)
% SINS initial align based on inertial-frame & vn-meas method.
%
% Prototype: att0 = aligni0(imu, pos, t1)
% Inputs: imu - IMU data
% pos - position
% t1 - inertial-frame align time
% Output: att1 - attitude align result
%
% Example:
% glvs;
% [imu, avp0, ... |
function c=fcoefMaclaurin3(grau)
%f(x)=sen(x)
naux=fix((grau-1)/2); %grau=(2*n+1) -> ultimo indice = grau+1
%coeficientes nulos de índices i impares:
for i=1:2:grau+1
c(i)=0;
end
%coeficientes não nulos de índices (2*i+1) pares:
for i=1:1:naux+1
c(2*i)=(-1)^(i+1)/factorial((2*i-1));
end
end |
function im=colorbar_flush(h,hc,data,mask,lim,cscale,t,intensity,int_lim,gamma)
% Copyright (C) 2013 Imperial College London.
% All rights reserved.
%
% This program is free software; you can redistribute it and/or modify
% it under the terms of the GNU General Public License as published by
% ... |
%Constants
eps0=8.85418782e-12; % F/m
mu0=1.2566370614e-6; % H/m
c0=1/sqrt(eps0*mu0);
eta0 = sqrt(mu0/eps0);
width1 = 0.005; %1/2 cm
width2 = 0.01; % 1 cm
width3 = 0.02; % 2 cm
%% Get data
air_file = 'Brandon(1)emptycoax.s2p';
frequency = dlmread(air_file,' ',9,0,[9 0 209 0])/1e9;
air_m11 = dlmread(air_file,... |
function [X,B]=get_iwcoff(W,B)
wname ='db4';
samp = waverec2((real(W(1,:))),B,wname);
X1 = zeros(size(samp,1),size(W,1),size(samp,2));
X2 = X1;
for k =1:size(W,1)
X1(:,k,:) = waverec2((real(squeeze(W(k,:)))),B,wname);
X2(:,k,:) = waverec2((imag(squeeze(W(k,:)))),B,wname);
end
X = X1+1i*X2;
|
clc, clear, close all
I = imread('issimple2_demo.png');
I = double(I);
I = I(:,:,1); I = 1-I/max(I(:));
figure;
imagesc(I)
colormap gray
axis off
axis square
hold on
tic;
S = zeros( size(I) );
R1 = zeros( size(I) );
for i=find( I==1 )'
if issimple2(I,i)
[x,y] = ind2sub(size(I), i);
R1(y, x) = 1;
... |
function IR = ISM_dis(sourc_x,sourc_y,sourc_z,mic_x,mic_y,mic_z,width,large,...
height,Fs)
%ISM_mov Based on 'ISM.m'. Distance damping coefficient was added.
% IR vector initialization
IR = [];
% Sound velocity
cSound = 340;
% Air damping coefficient
airDamp = 0.005;
% Number of reflections per ... |
function ChibiOS_SelectCallback(hDlg, hSrc)
% ChibiOS_SelectCallback is called from "configuration parameters" window
% after target selection
%
assignin('base','hDlg',hDlg);
assignin('base','hSrc',hSrc);
h = waitbar(0,'Setting configuration. Please wait...','Name','ChibiOS Setup');
ChibiOS_DefaultConfig... |
function pixel = create_pixel(B, L,side_length)
%生成二维数组，表示元胞空间的状态矩阵
global pixellength;%道路长度
pixel = zeros(pixellength,B+2);%生成pixel矩阵
pixel(1:pixellength,[B,B+2]) = -1000;%设置障碍行程干路
pixel(floor((pixellength-side_length)/2):pixellength-floor((pixellength-side_length)/2),1:B-1)=-1000;%生成小区范围
for i = 1:pixellength
if ... |
% Script used to demonstrate the use of different facial feature detectors
% for face frontalizations.
% PLEASE MODIFY THIS SCRIPT AS REQUIRED BY THE FACIAL FEATURE DETECTOR
% INSTALLED ON YOUR SYSTEM. This is part of the distribution for
% face image frontalization ("frontalization" software), described in [1].
%... |
%{
this is a handle for the stabilizing Linear MPC scheme.
min. 1/2 sum_{k=0}^{N-1} ||y_k - y_r||_Q + ||u_k - u_r||_R + ||x_N - x_r||_P
s.t. x^+ == Ax + Bu \forall k\in[0,N-1]
lmin <= Mx_k <= lmax \forall k\in[0,N]
umin <= u_k <= umax \forall k\in[0,N-1]
The handle takes the system and ... |
function [distsVerified] = distanceVer(dists)
%if one or more of the three distance measurements are off by 5%...
%displays dialogue box alerting the user, and asking if they want...
%to continue anyway.
mistake = 'No';
if abs(dists(1,1)-dists(1,2)) > dists(1,1)*.05
prompt = questdlg('One or more of your values... |
function varargout = static(varargin)
% STATIC MATLAB code for static.fig
% STATIC, by itself, creates a new STATIC or raises the existing
% singleton*.
%
% H = STATIC returns the handle to a new STATIC or the handle to
% the existing singleton*.
%
% STATIC('CALLBACK',hObject,eventData,handles,... |
% 计算每只股票的过去LookBack（参数）日的动量，并作标准化处理作为股票权重，持有Holding（参数）日，其中权重允许为负数，即允许做空股票
%%
% !!!!!!add 提取数据
%% weight
function weight = calc_mom(price,lookback)
weight = zeros(size(price));
weight(:,1) = price(:,1);
[m,n] = size(price);
% weight(1:lookback,2:end) = nan;
weight(1:lookback,2:end) = 0;
for j ... |
clear;
addpath(genpath('~/github/global_tool'));
% [ver, face] = read_wrl('/home/scw4750/3-13-preprocess/BU_3DFE/F0001/F0001_AN01WH_F3D.wrl');
ffp = '/home/scw4750/3-13-preprocess/BU_3DFE/F0002/F0002_AN01BL_F3D.wrl';
img_ffp = [ffp(1:end-6) '3D.bmp'];
pt5_ffp = [img_ffp(1:end-3) '5pt'];
%
[ver, face, texture_idx, textu... |
%% Binary file creator
clear
%% Paths
%% Make file
fp1 = fopen('Sound_tx1iii.bin', 'wb');
fwrite(fp1,Tx_soundIQ_int,'int16');
fclose(fp1); |
function smooth(im,colm)
Image=im;
n =1;
m =colm;
a='a';
if m==8
kk='a';
end
if m==3
kk='b';
end
if m==2
kk='c';
end
Image = imresize(Image, [712 712]);
rf = floor(712/n);
cf = floor(712/m);
m=1;
for v = 1:n
for s = 1:m %nXm files need to be made
startr = (v-1)*rf;
startc =... |
function [p ] = payoff_1( S )
% 输入量S是一个序列
T = size(S,2);
M = floor(T/2);
if M > 1.4 || M<0.95
p = S(:,M).*S(:,M);
else
p = max(S(end) - 1, 0 ) + S(end-1)/2;
end
end |
% % %Script Author @ Amr Abdeen%
% %
% % close all
% % clc
% % clear
% %
% X=[1,2,3;4,5,6]; %Test Array%
% plot(X)
% % X=[1 2 3 ; 4 5 6 ; 7 8 9]
% % %plot(X,'r*')
% % %grid on
% % X=linspace(1,200,50)
% % m=1
% % b=0
% % Y=(X*m)+b
% figure
% % %hold on
% % plot(X,Y,'*')
% % axis([0 50 0 100])
% % title('Plotting')... |
Nw=10; %number of equalizer coefficients
h=[0.1; 0; 0; 0.5; 3; 0.2; -0.1]; %channel impulse response
Nh=length(h); %number of impulse response coefficients
Hhat=convmtx(h,Nw); %convolution matrix. Note that Hhat*w = conv(w,h)
Nc=Nw+Nh-1; %number of elements in convolution output
MSEvalues=zeros(Nc,1); %pre-allocat... |
% %% stack Microcat data
% clear num p t c s th
%
% for n = 1:numel(data(1).Microcats)
% num{n} = [];
% p{n} = [];
% t{n} = [];
% c{n} = [];
%
% for i = 1:numel(data)
% hold on
% num_ = cell2mat(data(i).Microcats(n).Timestamp);
%
% p_ = data(i).Microcats(n).Pre... |
function [p_ref,t_ref,master_ref,idx_ref,rfht] = ...
create_refinement(p,t,refine_list,refref)
% function [p_ref,t_ref,master_ref,idx_ref,rfht] = ...
% create_refinement(p,t,refine_list,refref)
%
% Create refined mesh using reference refinement refref.
% (p,t) represent the unrefined "master" triangulation,
% wh... |
function config_info=Interp_GetConfigInfoStr(SrcImageName, DesImageName, ROIImageInfo, ROIImageInfoNew)
config_info = cell(30,1);
config_info{1,:} = SrcImageName;
config_info{2,:} = sprintf('Endian = %d', 0);
config_info{3,:} = 'unsigned short';
config_info{4,:} = sprintf('x_dim = %d', ROIImageInfo.XDim);
con... |
% FOLDER - A class that manages and provides utilities for path strings pointing to folders.
%
% Folder Properties:
% Exists - Gets a Boolean indicating whether or not the file or folder exists on the computer.
% FullPath - Gets a string containing the full path to the stored reference.
% Name - Gets a string c... |
function [avgpeaks_LP, avgpeaks_HP] = avg_peaks(final_locs_l_max, final_locs_h_max, timeframe, xl_filt_offset, xh_filt_offset, k)
peak_idx_LP = final_locs_l_max{1,k};
peak_idx_HP = final_locs_h_max{1,k};
avgpeaks_LP = zeros(1,2*timeframe+1);
avgpeaks_HP = zeros(1,2*timeframe+1);
for i = 1:size(peak_idx_LP)
... |
function L = CholeskyZerlegung( A )
% Berechnet die Cholesky-Zerlegung der Matrix A
% Rückgabewert ist die untere Dreiecksmatrix L
N = size(A,1);
L = zeros(N);
for j = 1:N
% Schritt 1: Diagonalelement berechnen
% Schritt 2: Spalte von L nach unten auffüllen
end
|
function rootPath = iterSpEstRoot()
rootPath = which('iterSpEstRoot');
rootPath = fileparts(rootPath);
end |
% Intrinsic and Extrinsic Camera Parameters
%
% This script file can be directly executed under Matlab to recover the camera intrinsic and extrinsic parameters.
% IMPORTANT: This file contains neither the structure of the calibration objects nor the image coordinates of the calibration points.
% All thos... |
function result = testChange(Data)
Data(1:end,2)=0;
% Data(51:100,2)=100;
% Data(51:end-50,2)=100;
Data(51:65,2)=100;
Data(end-10:end,2)=100;
result=Data; |
function [Sx, Varx, ftt1fill, fttfill] = fftTemplatePre(template, ny, nx)
[a,b]=size(template);
% precompute kernel sum(x), sum(x^2), and var(x)
Sx=sum(template(:));
Sx2=sum(template(:).^2);
Varx=(Sx2-Sx^2/(a*b))/(a*b-1);
% generate a kernel of ones the same size as template
tone... |
function g = sigmoid(z)
%SIGMOID Compute sigmoid functoon
% J = SIGMOID(z) computes the sigmoid of z.
g = zeros(size(z));
negativeZ = -z;
exponent = e .^ negativeZ;
ones = ones(size(z));
g = ones ./ (ones .+ (exponent));
end
|
function calculate_RMS_contrast
imagesDir = '/home/lisandro/Work/Project_CFS/CFS/CFS_BuenosAires/Stimuli/100Stimuli/';
outDir = '/home/lisandro/Work/Project_CFS/CFS/CFS_BuenosAires/Stimuli/';
files = dir( [ imagesDir '*GB.png']);
RMS = zeros(1,length(files));
for i = 1: length(files)
im = double( imread([imag... |
function results = compareToTruth(image_label,real_Xcentre,real_Ycentre,real_SigmaSpot,real_offsetBgNoise,real_bgNoiseStd,real_num_molecules)
%
% Created by Isabel Llorente-Garcia, July 2012.
% If you use this code please acknowledge Isabel Llorente-Garcia in your
% publications.
%
% Compare the results from bright spo... |
classdef prob_pc_relpose_5p_sir3u < problem
properties
N = 5;
end
methods
function [eqs_sym, abbr_subs] = gen_eqs_sym(obj)
[in, out] = obj.gen_arg_subs();
R = sym_quat2dcm([out.s; out.u]);
obj.config.R = R;
eqs_sym = sym([]);
... |
%% Figure 6 - L-cone curves for default human and defocus
%
% Illustrate the
disp('**** EI Figure 6')
nTrials = 100;
nBasis = 40;
% Integration time
% Captures eye movements up to 100HZ
% Adequate for absorptions (ms)
tStep = 10;
% Scene FOV. Larger than usual to show the continuing pooling
sceneFOV = ... |
%% k2_generate_and_test.m
% Generates and tests the neighbourhood of the current instance
% Improved speed and memory constraints for k=2
%% Input:
% num_machines: The number of machines
% curr_makespan: the makespan of the current instance
% L: The machine numbers of all the loaded machines
% M: The... |
function result = shuffle(input)
% function result = shuffle(input)
%
% re-order the data in a vector in a random order.
%
len = length(input);
idx = randperm(len);
result = input(idx);
return |
% Mark pixel pair locations as circles on image.
function varargout = OverlayPoints(higResRgbRot, hsiImage, pixelListRgb, pixelListHsi)
% [h, w, d] = size(hsiCube);
point = 1;
for n = 1:length(pixelListRgb)
r = 3;
th = 0:pi/50:2*pi;
xunit = round((r * cos(th)) + pix... |
% calculate the log posterior
function postprob = logpost(chi, data)
logpriorprob = prior(chi);
lh = likelihood(chi, data);
postprob = -(logpriorprob+ lh.loglh);
% rt.postprob = postprob;
%
% rt.lh = lh.loglh;
% rt.G1 = lh.G1;
% rt.M = lh.M;
% rt.H = lh.H;
% rt.sigmat = lh... |
function [wynik]=pom(A,x,wolne)
rozmiar = size(A,2);
koniec = false; % zmienna pomocnicza mówiąca o błędzie w algorytmie
e = 10^-10; % błąd przybliżenia
mnoznik = 0; % wartość przez jaką przemnażamy dodawany do innego wiersz
suma = 0; % zmienna na... |
close
clear
clc
%% Special Peak
%load data
signal = load("Signal.csv"); % 1801 smaples
ExpectedMean = load("ExpectedMean.csv"); % 0.6833
% the instructions never banned the use of the built in
% function detrend in matlab and the problem stated that the bias was
% linearly accumulating at some unknown accumulatio... |
close all;
clear all;
%------------------------------------------
% Squelette de GRAPH MATLAB
%------------------------------------------
% DATALOAD
%------------------------------------------
% dataload du fichier
data=load('Ib_HallmV_I_4_35.txt');
I = data(:,1);
V = data(:,2);
data=load('Ib_HallmV_I_4_35_descen... |
function [out] = corr_crossval(G,varargin)
% calculates crossvalidated correlations between activity patterns across
% conditions.
% Correlation distance is then the compliment of resulting corrs.
% INPUT:
% G: [numConds*numConds] crossvalivadted second moment matrix
% VARARGIN:
% reg: regular... |
function a=Pre2p_DCT4p(a)
[h,w]=size(a);
for ia=3:4:h-2
a(ia:ia+3,:)=prefilter_2point(a(ia:ia+3,:));
end
for ia=1:4:h
a(ia:ia+3,:)=dct(a(ia:ia+3,:));
end
a=a';
for ia=3:4:w-2
a(ia:ia+3,:)=prefilter_2point(a(ia:ia+3,:));
end
for ia=1:4:w
a(ia:ia+3,:)=dct(a(ia:ia+3,:));
end
a=a';
|
w = -pi:0.01:pi;
theta = pi/3;
subplot(3,1,1)
r = 0.99;
H = (1 - r) ./ (1 - 2*r*cos(theta)*exp(-j*w) + (r^2)*exp(-2*j*w));
plot(w, abs(H))
title('|Hi(e^jw)|, theta = pi/3, r = 0.99')
xlabel('w')
ylabel('|Hi(e^jw)|')
subplot(3,1,2)
r = 0.9;
H = (1 - r) ./ (1 - 2*r*cos(theta)*exp(-j*w) + (r^2)*exp(-2*j*w));
plot(w, abs... |
function scatter3(Q, varargin)
% SCATTER3 Display pure quaternion array as 3D scatter plot
% (Quaternion overloading of standard Matlab function.)
%
% Takes the same parameters as the Matlab function of the same name, except
% that the first three parameters (X, Y, Z) are replaced by a single
% quaternion parameter, w... |
function [cv, images] = create_cvpartition(ds)
rcount = unique(ds(:, {'Dataset', 'Image', 'RegionCount'}));
roi = unique(ds(ds.Relevance(:, 1) == '1', {'Dataset', 'Image', 'Region_A'}));
images = outerjoin(rcount, roi, 'Type', 'left', 'MergeKeys', true);
has_roi = ~isnan(images.Region_A);
... |
function [A, A_Hat, C] = rotation_constraints(PI_Hat)
% PI_Hat is 2F x 3K.
nPose = size(PI_Hat, 1) / 2;
K = size(PI_Hat, 2) / 3;
%Solve all the G_k or Q_k
A = zeros(2*nPose,(3*K)*(3*K));
A_Hat = zeros(2*nPose,(3*K)*(3*K+1)/2);
C = zeros(1, (3 * K) * (3 * K));
%Using the rotation constraint only
%For each frame,... |
function triu_new_adj_matrix = frequentist_diagonal_ordering(orig_matrix,n_iter)
% Input attributes: orig_matrix - the original adjacent matrix before frequentist diagonal ordering
% n_iter - the predefined number of iterations
% Output attributes: triu_new_adj_matrix - upper triangular of the new ... |
background = zeros(8,8);
for i = 1:9
for j= 1:9
if(mod((i+j), 2) == 0)
background(j,i) = 1;
else
background(j,i) = -1;
end
end
end
pcolor(background);
colormap(gray(2));
axis ij;
axis square;
hold on; |
% example: detail enhancement
% figure 6 in our paper
close all;
I = double(imread('test1.jpg')) / 255;
p = I;
r = 16;
eps = 0.1^2;
q = zeros(size(I));
q(:, :, 1) = guidedfilter(I(:, :, 1), p(:, :, 1), r, eps);
q(:, :, 2) = guidedfilter(I(:, :, 2), p(:, :, 2), r, eps);
q(:, :, 3) = guidedfilter(I(:,... |
% Clear everything i.e. memory, console, etc. and close all opened images
clear; clc; close all;
% Delete parallel pool of workers if any
delete(gcp('nocreate'));
% Delete Codebook i.e. 'BOW.mat' if it exists
if exist('BOW.mat', 'file') == 2
delete('BOW.mat');
end
% Create new Codebook i.e. 'BOW.m... |
% definindo uma função tipo "handle"
%f = @(x) x.^2 - 4*x + 3
%g = @(x) sin(2*x+pi/2)
% avaliando as funções
%f(1)
%g(0)
% definindo séries de dados para a função f
x = 0:-4:4
y = e
% plotando o gráfico de f
plot(x,y,'-or')
% definindo séries de dados para a função g
x = 0:0.1:4*pi;
y = g(x);
% ... |
generateHex
DIP=20;
x=10;
y=10;
z=10;
phi=90;
sig=1;
[T] = AIK_T3_1(x,y,z,phi,sig,DIP)
TL=T;
TR=T;
%[f00,f1,f2,f3,f4,f5,f6,f7,f8,f9,f10,fle,fre] = FK_T3_1(TL,TR,DIP);
%PLOT_T3_1(f00,f1,f2,f3,f4,f5,f6,f7,f8,f9,f10,fle,fre);
[pos_vec,vel_vec] = MOTOR_DATA_T3_1(TL,TR);
%[sync_packet] = PACKETS_T3_1(pos_vec... |
%% ------------------------------------------------------------------------%
% EE 569 Homework #3
% Date: Nov. 1, 2015
% Name: Faiyadh Shahid
% ID: 4054-4699-70
% Email: fshahid@usc.edu
%------------------------------------------------------------------------%
clear all; clc;
row = 512; col =512; BytesPerPixel = 3;
fil... |
% demo to test bcdLrLr1_alsls algorithm.
clear all
close all
clc
%**********************************************
%--- Choose PARAMETERS of the DEMO
%**********************************************
%--- Data parameters ----
data_type='complex'; % choose 'real' or 'complex' to select the kind of data to g... |
function outputIm = SeamlessClone(destIm,sourceIm,imMask,offsetY,offsetX)
%SEAMLESSCLONE Blends SOURCEIM into DESTIM using IMMASK
%
% Parameters
% DESTIM: background image
% SOURCEIM: m by n image to blend into DESTIM
% IMMASK: m by n matrix of logicals to determine which pixels of SOURCEIM
% to use
% O... |
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