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// code snippet
// Appledoc code snippet
//
// IDECodeSnippetCompletionPrefix: code
// IDECodeSnippetCompletionScopes: [StringOrComment]
// IDECodeSnippetIdentifier: 7A79A727-BE3B-4399-B9B1-FF1CC26741DC
// IDECodeSnippetLanguage: Xcode.SourceCodeLanguage.Objective-C-Plus-Plus
// IDECodeSnippetUserSnippet: 1
// IDECodeS... |
function imgSeg = kmeansCluster(img,blockSize, nOL,tVote)
[ballotBox1,ballotBox2] = vote(img,blockSize,nOL);
imgSeg1 = false(size(ballotBox1)); imgSeg2 = imgSeg1;
imgSeg1(ballotBox1 >= tVote * nOL^2) = 1;
imgSeg2(ballotBox2 >= tVote * nOL^2) = 1;
imgSeg = imgSeg1&imgSeg2;
end |
clear;
T = 147;
for i=4:4
K = i * T;
s = 0;
for j=1:50 %循环20次取均值
s0 = BP_no_noise(K);
s = s+s0;
end
s = s/50;
%fprintf('i = %d , s = %d \n',i,s)
fid = fopen('tim_p01.xls','a');
fprintf(fid,'%d \t',s);
fprintf(fid,'\r\n');
fclose(fid);
end
|
function SimpleSpeechRecognition(filename)
fs = 22000; % Sampling Frequency
[x,fs]=audioread('e2.wav');
voice=cov(x);
[y0,fs]=audioread('o1.wav'); %reference
[y1,fs]=audioread('red1.wav');
[y2,fs]=audioread('green1.wav');
[y3,fs]=audioread('blue1.wav');
ref=cov(y0);
delta0 = abs(ref - voice);
sel = 'noise';
... |
function plotX(x, param)
figure;
for j = 1:5:size(x, 2)
% clf
i = 3;
prevX = x((1:3) + (i-1)*3, j);
for i= 4:6%1:param.NF
currX = x((1:3) + (i-1)*3, j);
hold on
if mod(i, 2)
scatter3(currX(1), currX(2), currX(3), 'o')
... |
%% Set up image size parameters
screenres = 800; % native resolution that we construct at (pixels)
screenfov = 12; % height of screen (deg)
cpd = 3; % target cycles per degree
maskFrac = 0.95; % what fraction of radius for the circular mask ... |
function[a] = Perceptron_training(x_75_by_type_and_classes,k_max)
a = cell(size(x_75_by_type_and_classes,1), size(x_75_by_type_and_classes,2) );
for i = 1:size(x_75_by_type_and_classes,1)
for j = 1:size(x_75_by_type_and_classes,2)
data_positive = x_75_by_type_and_classes{i,j};
... |
function g = mrf_grad_log_student_prior(T, sigma, alpha)
[m,n] = size(T);
a = (1/sigma^2) * (T(1:m-1,:) - T(2:m,:));
b = 1 + (1/ (2 * sigma^2)) * (T(1:m-1,:) - T(2:m,:)).^2;
H1 = -alpha * a ./ b;
H2 = -H1;
a = (1/sigma^2) * (T(:,1:n-1) - T(:,2:n));
b = 1 + (1/ (2 * sigma^2)) * (T(:,1:n-1) - T(:,2:n)).^2;
V1 = -alpha ... |
function [traces, out, traceOpt] = R2G_ratio(traces,fps,traceOpt)
traces = traces(:,:,2)./traces(:,:,1);
if isfield(traceOpt,'highPass')
if traceOpt.highPass>0
k = hamming(round(fps/traceOpt.highPass)*2+1);
k = k/sum(k);
% make sure everything is positive
traces = traces + abs(min(... |
function batmodelControl(action)
if nargin==0
batmodelFig;
%set everything normalized
h=findobj('type','uicontrol');
set([h],'units','normalized')
%_______set the figure size and location
screensize=get(0,'screensize'); %this should be in pixels(the default)
figsize=[(screensize(3)-504... |
%求上架时间与故障率的关系.
%根据上架时间(已服役时间)对所有故障机分类,求出每个月上架的机器的在上架之后每个月的故障率.
%输入:故障单,故障机,总机,硬盘统计,故障单目录,总机目录,计算几次故障
%输出:retall是所有故障的上架时间与故障率关系,每一行第一个元素代表这一行表示的是第i个月前上架的机器
%retset是分第i次故障的,从上到分是第i次故障的数据.最后一列是所有故障的.
function [retall retset]=reg_frate(raw_f,raw_t,raw_a,num_dc,itm_f,itm_a,f_count)
tic;
disp('reg_frate processing..... |
function [Orec, Crec] = ss_get_OC(sys, varargin)
%SS_GET_OC Get observability and controlability matrix of LTI SS system
% Detailed explanation goes here
if(~isempty(varargin))
ip = varargin{1};
else
if(isempty(sys.e)||(rank(sys.e,1e-6)==size(sys.a,1)))
ip = 'p';
else
ip = 'i';
end
en... |
function playFlyMovie(flyTracks, startTime)
if nargin < 2, startTime = 0; end
for k = 1:flyTracks.nFlies
for i = 1:size(flyTracks.centroid,1)
r = flyTracks.majorAxisLength(i,k)/2;
x = r* cos(flyTracks.orientation(i,k)*(pi/180));
y = r* sin(flyTracks.orientation(i,k)*(pi/1... |
% Reconstruction process main script
% Settings
showPlots = true;
alphabet = 3;
numSim = 500;
% Data File
% data_file = 'Data/IBM.csv';
% data_file = 'Data/FB.csv';
data_file = 'Data/GOOG.csv';
% Open the file
[ T0, P0, ~ ] = getPricesFromFile(data_file);
% Detred the data with a given polynomial degree
poly = 3;
[... |
close all
x1all = load('class_1','-ascii');
x2all = load('class_2','-ascii');
x3all = load('class_3','-ascii');
%g = W*x + w_0;
%W := [W w_0] (4x4)
W = zeros(3,5); %initializing weight matrix as zeroes
%inserting one column of ones for the offset, and one column with the
%target class
x1all = [x1all ones(50,1) ones... |
% Accuracy
% Change default axes fonts.
set(0,'DefaultAxesFontName', 'Times New Roman')
set(0,'DefaultAxesFontSize', 14)
% Change default text fonts.
set(0,'DefaultTextFontname', 'Times New Roman')
set(0,'DefaultTextFontSize', 14)
set(0,'defaultlinelinewidth', 1);
set(gcf, 'PaperUnits', 'centimeters');
%... |
function Rrh = restriction(rh, nh)
Rrh = zeros( (nh + 1)/2, (nh + 1)/2);
dim = size(Rrh);
for i = 1:dim(1);
for j = 1:dim(2);
Rrh(i, j) = rh(2 * i-1, 2 * j -1 );
end;
end;
end |
pres_inp = [0.00689476, 0.01723689, 0.0344738, 0.05171068, 0.0689476, ...
0.137895, 0.344738, 1.37895]; % pressure in bar
pres_table = pres_inp*1e5; % onvert to Pascal
m = length(pres_table);
% matrix of zeros to store result
H_f_table = zeros(m); % Enthalpy of sat water
H_v_table = zeros(m); % En... |
clc
clear all
% in a 10x10x10 cube
start = [1,5,0,0,9,5,0,0];
goal = [9,5,0,0,1,5,0,0];
radius = .2;
state_limits = ...
[0,10;
0,10;
-1,1;
-1,1];
state_limits = [state_limits;state_limits];
sampling_limits = state_limits;
input_limits = ...
[ -1,1;
-1,1];
input_limits = [input_limits;inpu... |
function [KK0,KKg] = fGKBeamStraight(s_span,EIx,EIy,EIz,PhiK,bOrth,PhiV,m,Mtop,gravity,xLumped,MLumped,bStiffeningMtop,bStiffeningSelfWeight)
%
% OUTPUTS
% KK0: Stiffness matrix without geometrical stiffening
% KKg: Geometrical stiffeness matrix.
% The total stiffness matrix should then be KK0+KKg
% --- Option... |
function Hd = FIR_Kaiser2(N,Fs,Fc1,Fc2,flag,Beta)
%FIR KAISER 2 Returns a discrete-time filter object.
% MATLAB Code
% Generated by MATLAB(R) 9.8 and Signal Processing Toolbox 8.4.
% Generated on: 18-Jul-2020 19:42:56
% FIR Window Bandpass filter designed using the FIR1 function.
%{
% All ... |
%conv 사용하기
% 1 1
% G = ----- U = -
% s + 1 s
numG = [1];
denG = [1 1];
G = tf(numG, denG);
G
numR = [1];
denR = [1 0];
U = tf(numR, denR);
U
G*U
num = conv([1], [1]);
den = conv([1, 1], [1, 0]);
GU = tf(num, den);
GU |
function copySession(source,destination)
%
% Copyright 2017 Yulin Wu, University of Science and Technology of China
% mail4ywu@gmail.com/mail4ywu@icloud.com
if ~isvarname(destination)
throw(MException('QOS:copySession:invalidDestinationName',...
sprintf('invalid destination name: %s', destinatio... |
clear all
%% Create variant maps in X minute increments with odd numbered sessions for test split-half using combined task data
%
% This script requires CIFTI timeseries that have been converted to the
% surface (numvertices x timepoints), temporal masks for "high-quality"
% data points (timepoints x 1 binarized file... |
% use online method to find best patch residents time in random order
close all;
clear all;
more off;
SUM_COL = 3;
%PATCH = [50 100 200 300];
%PATCH = [300 200 100 50];
PATCH = [50 300 100 200];
PN = 4;
TAU = [10 50 100 500 1000 5000 10000 50000 100000 500000];
TN = 10;
TAUFILT = 0.001;
G = zeros(100*PN, TN);
T... |
% returns equivalence conditions corresponding to Spekkens' parity
% oblivious constraints from Phys. Rev. Lett. 102, 010401 (2009)
function [oblivious,A] = parityConSpekkens(AS,n,d)
%-------------------------------------------------------------------------------
% convert alice's setting to n,dits.
A = zeros(AS,n);
fo... |
num = 232;
back_ground = imread('close/1.JPG');
back_ground_gray = rgb2gray(back_ground);
for i = 1:num
file = '/';
outfile = 'close_gray/';
number = num2str(i);
fmt = '.JPG';
file_name = strcat(file, number);
file_name = strcat(file_name, fmt);
out_file_name = strcat(outfile, numbe... |
clc
clear all
close all
n = 210;
N_run = 100;
errors = zeros(n,3);
errALL = zeros(n,N_run);
for ex = 1:1
load(['signals4/signal_' num2str(ex)])
% k = 10+ex;
k = 21+ex;
for m = 5:n
err = 0;
for r = 1:N_run
% % Create dictionary by deleting rows ... |
function [] = w_csv(cell_in, csv_path)
fid=fopen(csv_path,'wt');
[rows,cols]=size(cell_in);
for i=1:rows
fprintf(fid,'%s,',cell_in{i,1:end-1});
fprintf(fid,'%s\n',cell_in{i,end});
end
fclose(fid);
end
|
% This function Simulates the swing equation of a one-machine system
% and returns the critical clearing time for stability.
%
% Copyrigth (C) 1998 H. Saadat
%
function cctime(Pm, E, V, X1, X2, X3, H, f)
Pe1max = E*V/X1; Pe2max=E*V/X2; Pe3max=E*V/X3;
d0 =asin(Pm/Pe1max);
dmax = pi-asin(Pm/Pe3max);
cosdc = (P... |
function initialize
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% Initialize the HRP file pulldown
%
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
global HANDLES REMORA
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%HRP file operations
REMORA.hrpmenu = uimenu(HANDLES.remmenu,'Label','HRP File');
%... |
clear
clc
folder_sor_name = '/home/byx/openface-master/test_acc/db/alignedtrain/';
dir_sor_Output=dir(folder_sor_name);
Sor_fileNames={dir_sor_Output.name}';
n = length(Sor_fileNames);
for i=1:n
if strcmp(Sor_fileNames{i},'.') || strcmp(Sor_fileNames{i},'..')
continue
end
med_... |
classdef RF
%RF Summary of this class goes here
% Detailed explanation goes here
properties
ref_ann
tc
n_vert
res
n_pixels
uv
uv_vec
mask1
n_face_pixels1
mask2
n_face_pixels2
parts
n_parts
end
methods
... |
function varargout = spc_main(varargin)
% SPC_MAIN Application M-file for spc_main.fig
% FIG = SPC_MAIN launch spc_main GUI.
% SPC_MAIN('callback_name', ...) invoke the named callback.
% Last Modified by GUIDE v2.5 28-Jan-2015 12:02:52
global gui;
global spc;
if nargin == 0 % LAUNCH GUI
fig = openfig(mfilena... |
% We are implementing a multiple object motion tracking system that
% MathWorks developed. Our initial/personal implmentation can be found in
% Tests/videoRendering
% Using Kalman Filter and Motion Based tracking to determine and track
% vehicles
%function runs video detection with the assitance of mini helper functi... |
classdef UgmGaussJointGaussInfEng < JointGaussInfEng
%UGMGAUSSJOINTGAUSSINFENG
properties
model;
end
methods
function eng = UgmGaussJointGaussInfEng(varargin)
%
end
function computeLogPdf(eng,varargin)
%
notYetImplemented('UgmGaussJointGaussInfEng.computeLogPdf()');
end
function comp... |
function [txt] = anova1_multcomp_auto(x,g)
[text,T,p,s,t,ST] = anova1_autoresults(x,g);
[tt,gnames] = multcompare_convt22016v(s);
result = multcompare_text2016b(tt);
%%
txt = sprintf('%s\n%s',text,result); |
A = @(L_0) [0, 1, 0, 0;
0, -1/param.T_K, 0, 0;
0, 0, 0, 1;
0, 1/(param.T_K*L_0), -9.81/L_0, 0];
B = @(L_0) [0;
param.eta_K;
0;
-param.eta_K/param.L_0];
C = [param.k_AWG_K, 0,0 ,0;
0, 0, 360/(2*pi), 0];
% L_0 = 0.5m
A_05 = A(0.5);
B_05 = B(... |
clear all
clc
close all;
% Load a sample 3-D RGB image
rgb = imread('Lenna.png');
imshow(rgb)
hold on
M = size(rgb,1);
N = size(rgb,2);
%Vector of coordinate point of the mesh
points=[];
index=1;
lx=round(M/10);
ly=round(N/10);
% i is is along x axis
% j is along y axis
for i=1:lx:M
for j=1:ly:N
points(ind... |
% n = 0;
% jointInd = [1, 2, 4];
% % aux.initJointAngles(2, :) = zeros(1, aux.numJoints);
%
% f1 = fopen('j3drand.csv', 'w');
% f2 = fopen('j3drand-spatial.csv', 'w');
load matlab/trans.mat
pt = [0, 0, 0, 1]';
ang = -0.25;
s0 = [cos(ang), 0, sin(ang), 0;...
0, 1, 0, 0;...
-sin(ang),0, cos... |
function [xtrain,xtest]=getdata(Ntrain,Ntest,noise)
%function [xtrain,xtest]=getdata(Ntrain,Ntest,noise)
%
% Creates 2D data with 3 clusters of width noise
%
% (c) Lars Kai Hansenn
%
x11=0.75+noise*randn(round(round(Ntrain/3)),1);
x12=0.25+noise*randn(round(round(Ntrain/3)),1);
x13=0.5+noise*randn(round(round(Ntrain/3... |
function [PC_back,cycle_back]=JMPACCDPTR(PC,cycle,intmem)
DPL=intmem(131,1);%DPTR low
DPH=intmem(132,1);%DPTR high
DPTR=DPH*(2^8)+DPL;%DPTR
ACC=intmem(225,1);%ACC
PC_back=ACC+DPTR+1;
%cycle count
cycle_back=cycle+3;
end |
classdef AdvAbstractVarFlow2d < NdgPhysMat
properties
%> Number of physical field
Nfield = 3
%> Number of variable field
Nvar = 1
%> field index of variable field
varFieldIndex = 1
outputFieldOrder = 1
end
methods
function ob... |
function N = Newgeneration_with_natural_selection( Old_generation , Num_matings , Natural_selection_advantage );
N = [];
for k = 1:Num_matings
F = Old_generation(randi( length( Old_generation ) ));
M = Old_generation(randi( length( Old_generation ) ));
if F+M == 2
if rand(1) < Natural_selectio... |
function [SSpoints,Nsample,RHSmat]=readrhs(plt,nb,data_folder)
rhs_file = strcat(data_folder,'/RHS.txt');
Spoints_file = strcat(data_folder,'/Spoints.txt');
fidrhs=fopen(rhs_file,'r');
Nsample=fscanf(fidrhs,'%f \n1',1)%number of samling points
RHSmat=cell(nb,2);%FF matrices
fidsp=fopen(Spoints_file,'r');
SSpoints=zero... |
clc;
clear all;
close all;
a=imread('images.jpg');
b=im2bw(a,0.5);
figure; imshow(b);
[m, n] = size(b);
w=[1,1,1; 1,1,1; 1,1,1];
dil=zeros(m,n);
erod=zeros(m,n);
for i=2:1:m-1
for j=2:1:n-1
list = zeros(1,9);
count=1;
for k=1:1:3
for l=1:1:3
list(count)=w(k,l)*b... |
function SetModelParam
%Sets Common parameters for all experimental conditions: Initial state,
%time, noise...
% for use with MasterFile or simulationEulerVTD_12hourMes_v5
global ModelParam;
fprintf(1, '%s called to define params\n',mfilename);
ModelParam.modelName = 'VTD_landscape_model_v6';
ModelParam.t0 = 0; ... |
% Wiener Filter for Image restoration
clc;
clear all;
img = imread("C:\Users\DELL\Desktop\Study\DIP\Lab_exp\cameraman.jpg");
figure(1);
imshow(img)
title("Orginal Image");
PSF = fspecial("motion",20,10);
imgd = im2double(img);
blurred = imfilter(imgd,PSF,"conv",'circular');
figure(2);
imshow(blurred);
tit... |
function build811(n,fs)
plot(n);
Ln=length(n)
m=1:2:Ln;
y=n(m);
%sound(y,fs)
Ly=length(y)
%y=round(n);
y=round(n*256);
y=y/256;
plot(y);
fs=22050;
f=7000;
n=0:436191;
x=sin(2*pi*f*n/fs);
sound(y,fs)
x=x';
wavwrite(y,fs,'outwave111.wav');
|
function [r1, r2] = get_CA_relaxivities(CA_type, MR_field_strength, log_file, log_window_handle)
r1 = []; r2 = [];
if nargin == 1
disp(sprintf('%s: missing MR_field_strength (should be the second argument passed', mfilename));
return;
elseif nargin == 2
log_file = [];
log_window_handle = [];
elseif nargin == 3
... |
function [ varargout ] = make_latex_table( T, varargin )
%MAKE_LATEX_TABLE Create a Latex table environment
% TABLE_STR = MAKE_LATEX_TABLE( T ) Returns a string representation of
% T that includes \begin{table} and \begin{tabular} (and corresponding
% \end commands) environments. T may be an array, a table, or a ... |
function [reduce] = mds(data,k)
% mds: Perform classic Multidimensional Scaling(MDS)
% data - MxN matrix of input data (M dimensions, N trials)
% k - the dimension
[m,~]=size(data);
t = zeros(m,m);
%Calculate the distance matrix of data points in the original space
for i = 1:m
for j = 1:m
t(i,j)=(norm(data... |
function Luma = ClosedLoopLumaAdjust(Luma, ChromaA, ChromaB, OriRGB, Stream, MaxLuma)
%ClosedLoopLumaAdjust - adjust the luma according to m36184
%
% Syntax: NewLuma = ClosedLoopLumaAdjust(Luma, ChromaA, ChromaB, ChSampling, ChFilt, BitDepth)
%
% Inputs:
% -Luma: Luma channel
% -ChromaA: first chroma chan... |
function showfft(src,sample_fs)
% fft example
% input:
% src -- souce
% sample_fs -- sample frequence
SRC=fft(src);
SRC=abs(SRC);
SRC=SRC/length(SRC);
FS=linspace(0,sample_fs,length(src));
len=floor(length(src)/2);
figure
plot(FS(1:len),SRC(1:len));
grid on |
%% demo_sisal_large_n_p
%
% This demo illustrates SISAL algorithm [1] runnig with a 20000 pixels
% and p = 15.
%
% This is not, by far, the maximum size the algorithm can work with. Try,
% for example, N = 100000.
%
%
% SISAL: Simplex identification via split augmented Lagrangian
%
% [1] J. Bioucas-Dias, "A variable... |
% Load the library
xps_load_drivers ;
% Set connection parameters
IP = '192.168.1.254' ;
Port = 5001 ;
TimeOut = 60.0 ;
% Connect to XPS
socketID = TCP_ConnectToServer (IP, Port, TimeOut) ;
% Check connection
if (socketID < 0)
disp 'Connection to XPS failed, check IP & Port' ;
return ;
end
... |
function digits = index2factoradic(ind, n)
% Find factoradic representation of decimal number ind which indexes the
% permutations of n elements. The permutatons are lexicographically ordered
% and their indices start at zero.
%
% The elements that are permuted are assumed to be '1', '2', . . ., 'n'
%
f = factorial(n-... |
function powerspectrum(f_signal)
[NC]=epocher(f_signal,2);
av=mean(NC,1);
av=artifacts(av,10);
%Limits artifacts to a maximum of 10
if sum(av)>=10
av=artifacts(av,20);
end
av=not(av);
%Removing artifacts.
NC=NC(:,av);
[pxx,f]= periodogram(NC,hann(size(NC,1)),size(NC,1),1000);
%[pxx,f]=pwelch(NC,[],[],[],1000);
%h... |
function im_E = image_energy(images)
N_frame = size(images,3);
im_E = zeros(N_frame,1);
for k = 1:N_frame
im_line = images(:,:,k);
im_line = im_line(:);
im_E(k) = sqrt(sum(im_line.^2));
end
end |
function demod_sig = QAM_demod(sig)
x = (0:15)
q_x = QAM(x)
for i=1:length(sig)
[minVal,minArg] = min(abs(sig(i)-q_x))
demod_sig(i) = x(minArg)
end
|
%sample script to calculate phi
clc;
clear all;
close all;
b=2 % 1<b<=2
phi=quadl(@(x)f4(x,b),0,40,1.e-9)/log(b) ;
phi
% Sample output
%
% b =
% 2
% phi =
% 0.914217701315935
|
clc;
clear all;
close all;
%% Read the image
img_origin = double(imread('flowers.bmp'));
%% The R,G,B components are as follows:
R_img = img_origin(:,:,1);
G_img = img_origin(:,:,2);
B_img = img_origin(:,:,3);
%% Reconstruction of image from the components:
I(:,:,1) = R_img;
I(:,:,2) = G_img;
I(:,:,3) = B_img;
%% ... |
fn = 'LED1206';
folder = '/usr/brlcad/bin/';
delete([fn '.g']);
fid = fopen([fn '.mged'], 'w');
%% chip body
H = [-1.6 -0.8 0.5, -1.6 0.8 0.5, 1.6 0.8 0.5, 1.6 -0.8 0.5];
H = [H, H + [0 0 -0.5, 0 0 -0.5, 0 0 -0.5, 0 0 -0.5]] * 0.393700;
fprintf(fid, 'in body1s.s arb8 %g %g %g %g %g %g %g %g %g %g %g %g %g %... |
function x = gen_dist(N,tail,xsig,xbar,slew);
% x = gen_dist(N,tail,xsig,xbar,slew);
%
% Function to generate a generalized distribution by adding
% multiple offset gaussians together.
%
% INPUTS: N: The total number of particles
% tail: The width of the rising and trailing pulse
% edges (0 < tail < 1) ... |
X = randn(1,1000);
plot(X, '.')
[m, v] = meanvar(X)
title('samples of X')
xlabel('numbers 1 to 1000')
ylabel('randn(1,1000)')
|
% He Feng & Huihao Chen
% Section 4.3 of the final project
clc;
close all;
m=0.3;
v=0.1;
% Define the ideal filters and other variables.
t = 0:1:14;
f = 20*exp(-t);
h = -200*exp(-t);
b = -15;
d = 15;
% List the time samples.
num_sample = [1000,3000,10000,30000];
figure(1)
%% Display each errors as the function of s... |
function duration = hoursPeakCS(time1,CS,threshold)
%HOURSPEAKCS Average hours per day that CS is above the threshold
% time1 is an array of either datenum values or in units of days.
% CS is an array of circadian stimulus values equal in length to time.
% threshold is one value [0 to 0.7] where duration is calcu... |
%%
%
% Solves a linear system where the DM object manages the mesh--solver interactions
%
% Set the Matlab path and initialize PETSc
path(path,'../../')
PetscInitialize({'-ksp_monitor','-pc_type','none','-ksp_converged_reason'});
%%
% Create a DM object
da = PetscDMDACreate2d(PetscDM.BOUNDARY_GHOSTED,PetscDM.BOUND... |
function [ll] = computeCompleteDataLogLikelihood(residual, precision)
error_sum = 0.0;
error_acc = 1.0;
c = 1;
for ii = 1 : length(residual)
error_acc = error_acc * (1.0 + 0.2 * (residual(ii,:)*precision*residual(ii,:)'));
c = c+1;
if mod(c, 50) == 0
error_sum = log(error... |
function unit_tangent_point = ...
Unit_tangent_from_spline( para_point , spline_sturct )
%Compute the unit tangent point form a given para point. The struct is
%base on the matlab curve fitting toolbox
%% Getting the tangent using differentation form matlab
diff_spline = fnder(spline_sturct,1);
%% Getti... |
%% Read the required data in
% phantom data has e fields files named as_Ex while the VHM has _ex
close all;
SAR_type = 'Local';
if(parpool('local') == 0)
parpool local 8;
end
%%
t0 = cputime;
switch SAR_type
case 'Global'
clc;disp('SAR type: GLOBAL');
%% Get Philips Q values
... |
function [ranking, bad_rank, fitness] = degradeSimilar(tolerance, ranking1, fitness1, Step)
% this function produces an order in which best structures are clustered:
% that means all structures from 1 to bad_rank will have distance bigger than tolerance
% For this we choose the best structure and then the next in rank... |
tcount=0;FF=[];EE=[];
for ncomps=5:5:25
tcount=tcount+1;
INECO_tensorfact_complex_noep
FF{tcount}=FT;
EE{tcount}=EV;
end |
function FlylabDeleteDeadFlyFiles (dirspec, filespec)
% FlylabDeleteDeadFlyFiles (drivespec, dirspec)
% Determine which files in the given drive & dirs contain dead flies, and delete those files.
%
filenames = GetFilenames(dirspec, filespec);
for k = 1:length(filenames)
filedata = FlylabRe... |
function fre=color_frequency(im)
[r,c]=size(im);
idensity=0:255;
[fre,~]=hist(im(:),idensity);
fre=fre/(r*c);
end |
function Xtable = convert2able(X)
% Written by: Filippo Amato, July 2015
%
% This function adds Row and Column labels to a numeric matrix.
% The row labels are of the form 'R#' (e.g., R1, R2, ...). Analogously,
% for the columns the labels have the form 'Y#'.
%
Table = istable(X);
if Table == 1
disp('ERROR... |
%% the actual approximation of any input via rounding to nearest node
function f = optionPrice(S0,K,T,r,sigma,N_time,N_space,xmax)
i = ceil((1/(2*xmax/(N_space))*((K/S0)+xmax)));
A = Asian_CN(T,r,sigma,N_time,N_space,xmax);
f = S0*A(i+1);
end |
function dz = dynamics(z,u,P)
qf = z(1,:);
qm = z(2,:);
dqf = z(3,:);
dqm = z(4,:);
Tm = u; %Motor torque
[ddqm,ddqf] = autoGen_dynamics(qm,dqm,qf,dqf,Tm,P.Jm,P.Ks,P.Jf,P.Kf);
dz = [dqf; dqm; ddqf;ddqm];
end |
v_r=var(rr2(1000,:))
k=1
for xbin3 = -sqrt(v_r)*4 : 0.001 : sqrt(v_r)*4
normal3(k)= exp(-xbin3^2/(2*v_r))/sqrt(2*pi*v_r);
k = k+1;
end
xbin3 = -sqrt(var(rr2(1000,:)))*4 : 0.001 : sqrt(var(rr2(1000,:)))*4
[n3, x3] = hist(rr2(1000,:), xbin3)
z=trapz(x3,n3);
figure
bar(x3,n3/z, 'hist')
hold on
plot(xb... |
%% Test neural networks
read_from_file = false;
if read_from_file
% Image source is the camera type.
image_source = 'specim';
directory_path = uigetdir;
directory_path = strcat(directory_path,'\');
%% Get the data file paths from the data directory.
% RG... |
% $Header: svn://.../trunk/AMIGO2R2016/Kernel/OPT_solvers/sres/sres_PEcost.m 770 2013-08-06 09:41:45Z attila $
function [f,h,g] = sres_PEcost(x,inputs,results,privstruct)
for i=1:size(x,1)
[f(i,1),h(i,:),g(i,:)]= AMIGO_PEcost(x(i,1:size(x,2)),inputs,results,privstruct);
end
|
function varargout = analyzer3d_qualityspeed(varargin)
% analyzer3d_QUALITYSPEED M-file for analyzer3d_qualityspeed.fig
% analyzer3d_QUALITYSPEED, by itself, creates a new analyzer3d_QUALITYSPEED or raises the existing
% singleton*.
%
% H = analyzer3d_QUALITYSPEED returns the handle to a new analyzer3d_Q... |
function [Cost,idx_cluster] = cluster_assignment(data, centroids)
Nrecords = size(data,1);
K=size(centroids,1);
Cost = 0;
idx_cluster = [];
for i=1:Nrecords
% for each record, find the nearest centroid
current_data = data(i,:);
%calculate the distance to each centroid
diff = ones(K,1)*current_data... |
addpath(genpath('./utils/'));
addpath(genpath('../data'));
%% load parsed all hitmap data (x, y, t)
% details are in parse hitmap data or main3_fft_pred_seperated_figs
taxi_hitmap_history_3d = load("taxi_hitmap_history_3d.mat");
taxi_hitmap_history_3d = taxi_hitmap_history_3d.taxi_hitmap_history_3d;
%% get pixel hi... |
function [a, ase, p] = getML_LIPModel(Monk, recompute)
savepath = ['/work/mirror_jeff/code/matlab/tmp-mat/getML_LIPModel_' Monk '.mat'];
if recompute
a = getML_txt([Monk 'TRain_LIP.txt']);
fn = a.data{strcmp(a.name,'dat_fn')};
ses = a.data{strcmp(a.name,'session')};
usable = a.data{strcmp(... |
De code hieronder bevat een syntaxfout. Merk het verschil op tussen een
syntaxfout en een programmeerfout.
======= Code =======
% Optellen van een variabele
a = %%2;
b = 2;
som = a * b;
======= Code =======
|
% Note: MSE = mean square error;
% RAD = Relative Absolute Difference
tic
rept_for_MSE_mean = 100;
MSE_buffer = ones(1, rept_for_MSE_mean);
RAD_buffer = ones(1, rept_for_MSE_mean);
target_max_nbSamplePath = 50;
MSE = ones(1, target_max_nbSamplePath);
RAD = ones(1, target_max_nbSamplePath);
nbStepIn... |
%% Problem 1
%Program to estimate K and Km in rate expression for Enzymatic Reaction
clc
clear all
close all
% r=KS/(Km+S)
S=[1.233;0.540;0.442;0.258;0.198;0.162;0.130;0.128]
r=[5.970;3.319;2.253;2.547;1.493;1.182;1.095;0.869]
x=1./S; % x=1/S
y=1./r; % y=1/r
% Writing in the form y=a1+a0x
% y=(Km/K)*x+(1/K)
% A =[... |
%% WFTdualPulse5.m
%
% Constants
global ts;
center = 0;
% Format: {time, visStim}
% [Mode, K0, K1, K2]
visStim0 = [1, 0, 0, center];
visStimN = [1, 0, -1, 0];
LaserOff = '0000';
histogramBounds = [1,8*60];
trialStructureList = [...
{0, visStimN, LaserOff, '0000','0000','0000'};... %nb. Fi... |
%Author:Eduardo Alho
%date:01/10/2016
%Applies 3D transforms of to 3D registered masks or other 3D volumetric
%data stored in a folder named 3Dvolume
%root_dir1 is the folder where the 3D transforms and the reference volume are stored
%eg:'/Users/erichfonoff/Desktop/Eduardo_Alho/Wrapper/'
%ref0 is the name of the refer... |
function [ data_div ] = data_divide( data, multiscale,n_fft )
n = length(data);
tf = 2^multiscale;
for i = 1 : tf
data_pre(i,:) = data(((n*(i-1)/tf)+1):((n*i)/tf));
end
data_fft = fftshift(fft(data_pre,n_fft,2));
for i = 1 : tf
data_ = data_fft(i,:);
for j = 1 : tf
data_div(i,j,:) = data_(((n_ff... |
function dst = IntraDecode(image, img_size , qScale)
% Function Name : IntraDecode.m
% Input : image (zero-run encoded image, 1xN)
% img_size (original image size)
% qScale(quantization scale)
% Output : dst (decoded image)
im_vs = img_size(1);
im_hs = img_s... |
function [Y m]=meanNorm(X,meanVec)
if nargin==1
m=mean(X,2);
else
m=meanVec;
end
Y=bsxfun(@minus,X,m);
end |
% [score pct maxtime] = ospan(mainwindow,fgcolor,bgcolor,datafolder,subjno,
% maxtime)
%
% Operation Span task based on Unsworth et al (2005).
%
% Participants read a 3-term equation and have to calculate the answer.
% After solving the equation, they press a key and see a probe answer, and
% have to decide whether thi... |
clc;
clear all;
close all;
len = 1000;
e = normrnd(0, .01, len, 1);
sys = [0.6 -0.4];
y = zeros(len, 1);
y(1:2) = 1;
for k = 3:len
y(k) = sys*[y(k-1); y(k-2)] + e(k);
end
figure
autocorr(y)
figure
plot(y)
hold on
grid on
%Ident
phi = [y(2:end-1) y(1:end-2)];
sys_hat = phi\y(3:end);
y_hat = zeros(len, 1);
y_ha... |
% Lec 8.4 : Some Practical Examples
function fval = cricketFun(t,Y)
% Get variables
x = Y(1);
y = Y(2);
u = Y(3);
v = Y(4);
% Constants
g = 9.81;
kappa = 0.006;
% Describing dY/dt
fval = zeros(4,1);
fval(1) = u;
fval(2) = v;
fval(3) = -kappa*u;
fval(4) = -g;
end
|
function [Qsim, param, varargout] = HydroMod1( P, E, param )
%
% [Qsim, param, varargout] = HydroMod1( P, E, param )
%
% BUCKET hydrological model
%
% INPUTS (time series of daily observations [n,1])
% P = mean areal rainfall (mm)
% E = mean areal evapotranspiration (mm)
% Q = stream flow (mm... |
classdef Np755GlmDirectorComponent
%% NP755GLMDIRECTORCOMPONENT
% $Revision$
% was created $Date$
% by $Author$,
% last modified $LastChangedDate$
% and checked into repository $URL$,
% developed on Matlab 8.1.0.604 (R2013a)
% $Id$
properties (Abstract)
dsa
thickn... |
function varargout = AlexMenu(varargin)
global PDR trials_handle sounds_handle
% Begin GUI initialization code - DO NOT EDIT
gui_Singleton = 1;
gui_State = struct('gui_Name', mfilename, ...
'gui_Singleton', gui_Singleton, ...
'gui_OpeningFcn', @AlexMenu_OpeningFcn, ...
... |
%% This code reads curvature and interfacial data computed in Avizo, post-process them and plot versus time
clear all
close all
clc
file_path = 'E:\Diamond19\processing\DK_WF1\1280x1284x1080\curv_ia';
%% Mean curvature between oil and water
% list of names data of mean curvatures (km)
% change folder
fi... |
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