text stringlengths 8 6.12M |
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function NmlNum = getNmlNum(handle1, handle2)
Num = getNum(handle1, handle2);
if strcmp(get(handle2, 'Userdata'), 'OK')
if Num >= 0 && Num <= 1
NmlNum = Num;
return;
end
mywarndlg('The value needs to be in the range of 0~1!');
twinkle(handle1);
set(handle2, 'Userdata', 'WRONG');
end... |
tic
for i = 1:100
getAllValid(b,1);
end
toc
%%
n = 8;
coord = [3 5]
a = magic(n);
a = reshape(1:64,[8 8])'
% Emitting from the coord in question
% 2 horz, 2 vert, 2\diag, 2/diag
rays = cell(8,1);
% Vertical
rays{1} = flipud(a(1:coord(2)-1,coord(1)));
rays{2} = a(coord(2)+1:end,coo... |
function [objvalue, ptr, per] = calobjvalue(pop, piecetime,equsize)
% 计算目标函数值
% pop input 种群
% piecetime input 工件加工时间
% equsize input 每个工序设备数量
% objvalue output 目标函数值（加工时间）
% ptr output 工件加工时间记录，cell
% per output 工件加工设备记录，cell
[popsize, piecesize] = size(pop);
prosize = size(eq... |
classdef LinearDynamicalSystem < ProbDist
% A discrete time, stochastic, (switching) linear dynamical system
% (state space model), with Gaussian noise.
properties
% Let z(t) denote the hidden state at time t and y(t) the
% observation at time t. If specifed, x(t) denotes an additional
... |
%% ScreenBasedMonocularCalibration
%
% Provides methods and properties for managing monocular and bi-monocular calibrations for screen based eye trackers.
% This type of calibration is not supported by all eye trackers. Check the DeviceCapabilities of the eye tracker first!
%
% calib = ScreenBasedMonocularCalibr... |
%Name:Muhammad Zubair SC
%Title: Automatic Sound Reconigtion System
function m = mfcc_program_mean(audp, fs)
N=length(audp);
preEmph=2* [1 -1];
aud = filter(preEmph,1,audp);
frameduration=0.025;
framelen=round(frameduration*fs);
overlap=round(0.01*fs);
lasframe=floor(N/framelen);
audf=zeros(framelen,lasframe);
filter... |
function oriChoiceWorldJF(t, events, p, vs, in, out, audio)
%% oriChoiceWorld
% Burgess 2AFC task with orientation discrimination
% 2019-02-06 Modified for oriComp (originally advancedChoiceWorld.m) SF
% 2019-02-11 Added stationary cue option (p.stationaryCues) SF
% 2019-02-13 Added wait on early response opti... |
function S = predict_list_cs_classification( test_data, weights_list, features_choice_struct )
% test_data is in common format
% weights_list is length B cell array. beta_list{i} is [d,1]
%
% S is [N,B]
B = length(weights_list);
N = length(test_data);
S = zeros(N,B);
for k = 1:B
features = conseqopt_features(test_da... |
marsbar('on')
i = 1
for x = -70:6:73
for y = -106:6:75
for z = -70:6:81
my_centers(i,1) = x;
my_centers(i,2) = y;
my_centers(i,3) = z;
i = i + 1;
end
end
end
radius = 3;
roi_dir = '/data/mridata/jdeng/sd_bvftd/nodes/all_nodes_2';
for pt_no = 1:... |
classdef GridjobExample < Gridjob
%GRIDJOBEXAMPLE Summary of this class goes here
% Detailed explanation goes here
properties
end
methods
%% Subclass Constructor: initialize standard parameters:
function this = GridjobExample(varargin)
% Call superclass constructor:
th... |
%% This is the modelling of neuron (not the kinetic model)
function model1(iter,k,range) %k should be less than 8
%% defining kinetic rates
I = linspace(range(1),range(2),k);
alpha_n = @(V) 0.01*(10 - V)/(exp((10-V)/10) - 1);
alpha_m = @(V) 0.1*(25 - V)/(exp((25-V)/10) - 1);
alpha_h = @(V) 0.07*exp(-V/20);
bet... |
function [ H,V,f, lucky ] = arnoldi_v2(A,Hk,Vk,fk,p)
lucky = 0;
[m,n] = size(A);
k = length(Hk);
V = zeros(n, k+p);
V(:,1:k) = Vk;
H = zeros(k+p, k+p);
H(1:k,1:k) = Hk;
f = fk;
for j = 1:p
beta = norm(f);
if beta == 0
disp('LUCKY BREAKDOWN!!!')
beta
lucky = 1;... |
function update_coin_counter(trial)
global exp
%% Add running coin count
set_buffers_and_messages;
earned_coins = nansum(exp.PROBSWITCHdata.reward);
for buffer = 1:exp.numb_of_buffers
loadpict('stimuli/coin_small.png', buffer, 300, 300);
preparestring(num2str(earned_coins), buffer, 360, 300);
en... |
% 2 Create a Matlab function ofdm demod.m that simulates an OFDM-based receiver. In the
% receiver, a serial-to-parallel conversion is performed, followed by an FFT operation, to
% regenerate the transmitted OFDM frames and QAM symbols.
%%%%% zie slide 29/40
function [demodulatedSequence, fresp_est] = ofdm_demod(of... |
p_3_av = 0.3*p_3_h + 0.4*p_3_m + 0.3*p_3_t;
eta_TS = ( cp*T_0_m*( (p_3_av/p_0_m)^((gamma-1)/gamma) - 1 ) - V_0_m^2/2 ) /l_Eu;
disp('_________________________________________________________________________________')
disp(' ')
disp(' RESULTS')
... |
function [Hx,Hy,Hx2,Hy2] = BuildData(X,Y,X2,Y2,D,p)
Hx = buffer(X(D+2:end),p,p-1,'nodelay'); % input, train
Hy = buffer(Y(1:end-1-D),p,p-1,'nodelay'); % output, train
Hx2 = buffer(X2(D+2:end),p,p-1,'nodelay'); % input, test
Hy2 = buffer(Y2(1:end-1-D),p,p-1,'nodelay'); % output, test
|
%Chris Santos
%ECE 314
%9/16/15
%HW #2
scrsz = get(groot,'ScreenSize');
w = scrsz(3);
h = scrsz(4);
figure('Position',[(w/2)-((w/2)/2) (h/2)-((h/2)/2) w/2 h/2]);
x1 = 0:1e-6:300e-6;
x2 = Times(:,1);
xmarker = 30e-6;
y1 = sin(20000*pi*x1);
y2 = C1V(:,1);
ymarker = sin(20000*pi*xmarker);
plot(x1,y1,'b', x2, y2, 'r', xm... |
% OPTIMUM INCIDENCE AND DEVIATION (ALREADY COMPUTED)
% DESIGN INCIDENCE
i_des_statt = i_S_mt;
i_des_statm = i_S_mm;
i_des_stath = i_S_mh;
% DESIGN DEVIATION ANGLE
ddelta_di_t = ( 1+(sigma_S_t+0.25*sigma_S_t^4)*(abs(alpha_2_t)/53)^2.5 )/exp(3.1*sigma_S_t);
ddelta_di_m = ( 1+(sigma_S_m+0.25*sigma_S_m^4)*(abs(alpha_2_m... |
function [centroids] = clustering_pc(points, NC)
[n m] = size(points);
centroids = zeros(NC, m);
x=0;
j=0;
for i = 1:n
j=0;
i;
s = i + j*NC;
x = x +1;
while mod(i,NC) == 0 && s <= n && x <= NC
centroids(x, :) = centroids(x, :) + points(s, :);
j = j + 1;
s = ... |
function treeIdx = getTreeWithName( skel, name, mode )
%Get all nodes with a name from a tree.
% INPUT name: string
% String to look for in the tree names.
% mode: (Optional) string
% Specify search mode
% 'exact': Exactly matches the name (Default)
% 'partial': name is par... |
% co mamy:
%długości:
clear
clc
data=load('patientsDATA.txt');
x=1+randi(240);
P_amplitude_AVR=data(x,1);
P_length_AVR=data(x,2);
Q_amplitude_AVR =data(x,3);
Q_length_AVR =data(x,4);
R_amplitude_AVR =data(x,5);
R_length_AVR =data(x,6);
S_amplitude_AVR =data(x,7);
S_length_AVR =data(x,8);
T_amplitude_AVR =data(x,9);
... |
% Tao Du
% taodu@stanford.edu
% May 29, 2014
% draw a cross at [px, py]
function [ image ] = draw_cross( image, px, py )
[height, width, ~] = size(image);
len = round(min(height, width) / 100);
wid = round(len / 4);
% if out of bound, do not draw it
if (px - len) < 1 || (px + len) > width... |
function Xcorr = fastXcorr(spike_matrix, maxLag, autocorr)
%% by Mattia
% inputs:
% spike_matrix: units * time
% maxLag: the maximum lag for which xcorr will be computed. in the same
% units as the spike_matrix
% autocorr: 1 if you also want to compute autocorrelations, 0 if you don't
% output:
% Xcorr: given a matr... |
function [ output_args ] = checkValid( data )
%--------------------------------------------------------------------------
%
% checkValid:
% A function to return a warning if the input argument is empty
%
% Syntax:
% [ output_args ] = checkValid( data )
%
% Inputs:
% data - a scalar, a vector, a matrix or a m... |
%一般继电器特性
clc;
clear all;
close all;
xian1=0.3;
xian2=0.8;
st=10;
dt=0.01;
lp=st/dt;
t=dt:dt:st;
w=3;
u=sin(w*t);
Y=[];
for i=1:lp-1
if u(i+1)>u(i)
if u(i+1)>xian2
y=1;
else if u(i+1)<-xian1
y=-1;
else
y=0;
end... |
function latestfile = getlatestfileall(directory)
%This function returns the latest file from the directory passsed as input
%argument
%Get the directory contents
dirc = dir(directory);
% dirc.name
%Filter out all the folders.
% dirc = dirc(find(~cellfun(@isdir,{dirc(:).name})));
dirc=dirc(~ismember({dirc.name},{'.','... |
function [newCompMesh, meshDisk] = adaptMesh( PosWQ, L, B, T )
%adaptMesh passt die Diskretisierung an --> um die Position der aktuellen
%WQ feinere Schritte
% PosWQ: <1x3> double [x, y, z] Position der WQ
% Cxb: <1x1> double Größe der aktuellen WQ
% L,B,T: <1xn> double aus componentMesh
% Zur Verfügung stehende... |
function [xdot, y] = bicycle_model_PID(t,x)
% Note: this is a 2D vehicle model that has braking and lateral forces at
% four wheels: fl, fr, rl, rr
% It is assumed that both front tires have same Cf, same for rear
% This is a simulation of fully-locked braking.
global L B R_w L1 L2 h Jrl t_disturb drivetrain_damp
... |
function savewaveform(fname,V,fs)
%
% savewaveform(fname,V,fs)
%
f = fopen(fname,'wt') ;
if f<=0,
fprintf('Error: unable to open file %s\n',fname) ;
return
end
fprintf(f,'Start:,1,\n') ;
fprintf(f,'Length:,%d,\n',length(V)) ;
fprintf(f,'Sample Rate:,+%1.6E,\n',fs) ;
fprintf(f,'%d,\n',round(32767*V)) ;
fclo... |
function A = AA_to_A(AA,time)
A = zeros(size(AA,1),size(AA,2)/time,time);
for i = 1:size(AA,2)/time
for j = 1:time
A(:,i,j) = AA(:,time*(i-1)+j);
end
end
end |
function snr_sd_v4_check_artifact(subj, study)
% Runs a signal-to-noise ratio analysis on fMRI data. Check that the
% pathing works for your specific study, and adjust it in the "paths"
% section of the code.
% CHANGELOG
% Code runs to check SNR of 06Jul17 test with Lee. Works with 3D nii files -- Matt
% 20 July 17 ... |
function rtn = countOnes(row, s, e)
rtn = 0;
for i = s:e
if (row(i) ~= 0)
rtn = rtn + 1;
end
end |
function legendShrinkLines(legH, pctShrink)
%% function legendShrinkLines(legH, pctShrink)
% must come after all calls to change lines in figure, else the new length
% will be overwritten
% - pctShrink == 100 means do not change
%
% histed 121008
%% test
lH = findobj(legH, 'Type', 'line');
if isempty(lH), error('No l... |
% Advection terms element matrix --- buoyancy
% (\div u) c*v
% A(2*nip,2*nip) in separate displacement ordering
% np is the number of points per f.e.
% k is the current integration point, to evaluate at
function A = advect_c(FUN,FUNT,DER,Coord,np,vec_coeff,nju,wh)
A =zeros(2*np,2*np);
if nju==0.5,
... |
% MCLLVPC.M
% Lowered voltage option callback
% Called by mclcm
mcllvp = get(mcluilvp,'Value') ;
if mcllvp == 1 ;
set(mcluilvp,'Value',1,'BackGroundColor','white');
set(mcluiprp,'Value',0,'BackGroundColor',[.5,.5,.5]);
mclprp = 0 ;
else set(mcluilvp,'Value',1);
mcllvp = 0 ;
end ; |
function h = CS4640_LoG(x,y,sigma2)
% CS4640_LoG - Laplacian of Gaussian function
% On input:
% x (double): x value
% y (double): y value
% sigma2 (double): variance of Gaussian
% On output:
% h (double): LoG value
% Call:
% h = CS4640_LoG(3,2,2);
% Author:
% Kyle Heaton
% UU
% S... |
function image = hybrid_image(im1, im2, cutoff_low, cutoff_high, hybrid_option)
fil1 = fspecial('Gaussian', 4 * cutoff_low + 1, cutoff_low);
fil2 = fspecial('Gaussian', 4 * cutoff_high + 1, cutoff_high);
im1_fil = imfilter(im1, fil1);
im2_fil = imfilter(im2, fil2);
% To extract high frequency, subtract the original ... |
%% postprocessing illustration
clc
clear all
close all
load('WPFE_data.mat');
TSwind.forecast =forecast;
TSwind.production = measurement;
TSwind.total_cap = total_cap;
TSwind.delta_T = 0.25;
TSwind.n_samples = length(forecast);
day = 1;
load(['day',num2str(day),'.mat']);
scen_error = scen_error';
[samples_scenari... |
function [T,WV] = LoadSEfromCSC(fn, R, U)
% Loading enginer for MClust-4.0
%
%
sizeofdouble = 8;
if nargin == 1
fp = fopen(fn);
nS = fread(fp, 1, 'int');
nSamp = fread(fp, 1, 'int');
T = nan(nS, 1);
WV = nan(nS, 1, nSamp);
for iS = 1:nS
T(iS) = fread(fp, 1, 'double');
... |
function texture = maskMatrix(matrix, radia, saccadeSize, mode, centerShape)
% Given a matrix, generate a texture that has matrix everywhere except
% in the mask (which depends on mode). The mask is the superposition of
% 2 circles (or squares) and a rectangle. The rectangle is centered on the screen
%... |
% Matt Churgin and Chris Fang-Yen
% Last edited 11/29/17
%% Load Data
clear all
close all
[srcfilename pname]=uigetfile('*.mat','MultiSelect', 'on','Select the .mat files');
cd(pname);
load(srcfilename);
group1 = [1 2 3 4 9 10 11 12 17 18 19 20 25 26 27 28 33 34 35 36 41 42 43 44 ]; % TRAINING
group2 = ... |
% Analysis script for waveguide FEM resolution studies
clear all
factor = 0.1:0.02:1;
reflection = zeros(1,length(factor));
reflection_theory = zeros(1,length(factor));
k_calculated = zeros(1,length(factor));
elements = zeros(1,length(factor));
percentage = 0;
for analysis_index = 1:length(factor)
clearvars -exc... |
%标题和图例标注
%title('string')
%图例：legend('string1','string2')
%按照绘制的先后顺序进行对图例的标注
x=-pi:pi/20:pi
y1=cos(x)
y2=sin(x)
plot(x,y1,'-ro',x,y2,'-.b')%线形/%颜色/%标注
title('curve')
legend('y1','y2','location','southeast') |
clear;clc;
InputData = xlsread('output\And.csv');
[rows,cols] = size(InputData);
%transposeInputData = InputData';
%newMat = [];
%for i = 1:34:rows
% newMat = [newMat;transposeInputData(:,i:i+33)];
%end
%variance = var(newMat);
%[VarianceValue, index] = maxk(variance,10);
LowPassValues1 = [];
Fs = 2000;... |
%% AM_FST_snr_pilot
% Script to run FST for AM Ported from my previous isss_multi script.
% Cloned on 11/14/19 to pilot SNR in seniors.
% Author - Matt Heard
% MM/DD/YY -- CHANGELOG
% 08/07/17 -- Started changelog. MH
% 08/07/17 -- Found error in "prepare timing keys" that overwrote eventStartKey
% and stimStartKe... |
% MMLDSTC.M
% Data storage callback
mmldstv = get(mmluidst, 'Value') ;
if mmldstv == 1 ;
set(mmluidst,'BackGroundColor','yellow') ;
set(mmluidsp,'Visible','on') ;
else ;
set(mmluidst,'BackGroundColor',[.5 .5 .5]) ;
set(mmluidsp,'Visible','off') ;
end ; |
function [vector_new] = zeroNeg(vector)
% Replaces all the negative values of a vector with zero
replace=0;
vector_new=vector;
for i=1:1:(length(vector))
if vector_new(i)<0
vector_new(i)=replace;
% when assigning to a new integer, old value goes on left
% when assigning to a new variable, o... |
function [Jfn, Cfn, kfn, dbn, Qn, accn,Vn, Dn] = NormalCutS(A,K,L,c,Partition)
%normalized cut taking
m = size(A,1);
if ~exist('K','var') && ~exist('L','var')&& ~exist('c','var')
K = min(100, ceil(m/10));
L = 2;
c = 0;
end;
%d = sparse(diag(sum(abs(A))+1));
%normalized laplacian
La=laplacian(A);
%N = d^(-1... |
function phase = phis(U0MeV,VrfMV)
% phase = phis(U0MeV,VrfMV)
%
% this function returns the synchronous phase in radians
% input:
% U0MeV is energy loss per turn in MeV
% VrfMV is the RF voltage in MV
phase=pi - asin(U0MeV./VrfMV);
end |
clear; close all; clc
%%
%
% Joćo Araśjo 2018/2019
%
% Brute-force optimization Script for the Traveling Santa 2018 contest
%
%
%%
%% Load data and get initial cost
Data = csvread('cities.csv',1);
load('Path_opt')
%Get primes in order for memberC usage
load('Primes')
costInit = 0;
pathHist =... |
function [metric, output_log] = train_oasis_c_pos_flip(images, labels, parms)
%
%
%
[oasis_agress, parms] = take_from_struct(parms, 'oasis_agress', 0.1);
[oasis_num_of_steps,parms] = take_from_struct(parms, 'oasis_num_of_steps',1000000);
[oasis_save_every,parms] = take_from_struct(parms, 'oasis_sav... |
ld = load('J_vs_E.mat');
x2 = ld.fj200.x;
f2 = ld.fj200.signal;
f2_err = ld.fj200.error;
x4 = ld.fj400.x;
f4 = ld.fj400.signal;
f4_err = ld.fj400.error;
e_min_s = 45;
e_max_s = 125;
% first subrange: take from ei200
ir2_min = find(x2==e_min_s);
ir2_max = find(x2==e_max_s);
x_tot1 = x2(1:ir2_min);
s_tot1 = f... |
function bqt = qt_balance(S)
%% enforce 2:1 ratio
[M,N] = size(S);
maxDim = full(max(max(S))); minDim = full(min(min(S(S>0))));
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%De%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% Creating matrix J whose size = image size and used to indicate the
% occupation of each types of squar... |
clc
clear all
close all
global tol
tol = 1e-7;
tmax= 500;
dt= 1;
t0 =0 ;
time= t0:dt:tmax + dt;
p0=-50;
r0=0;
pold=p0;
rold=r0;
diso=0.1;
phi= zeros (size(time));
rec= zeros (size(time));
time_count =1;
while (time(time_count)<tmax)
time_count=time_count+1;
pnew= pold;
[fp,dp_fp, rnew] = m... |
function [J_train,J_val,J_test,theta,y_model] = learnCurve_m5(data_t,data_val,data_test,alpha,iter,sizes,deg)
% Create learning curves from the data
% Uses: convertCategory, no normalization or polyFeatures, use
% categorical & numerical data separately.
n_num = 1;
n_sizes = length(sizes);
f = waitbar(0,'Runnin... |
function [obtained_a, obtained_b, decided] = softmax(a,b);
temperature = 0.3;
std_dev = 1;
exp_sum = (exp(a*temperature) + exp(b*temperature));
prob_a = exp(a*temperature)/exp_sum;
prob_b = exp(b*temperature)/exp_sum;
obtained_a = a;
obtained_b = b;
if prob_a > prob_b;
obtain... |
function [ output ] = get_energy_characteristic( )
%GET_ENERGY_CHARACTERISTIC Summary of this function goes here
% Detailed explanation goes here
global en_type c1 c2 d1
hessian = zeros(3, 3);
if strcmp(en_type, 'arap')
hessian(1, 1) = 2;
hessian(2, 2) = 2;
hessian(3, 3) = 2;
output = ... |
close all
clear
clc
I_s=0.01e-12;
I_b=0.1e-12;
V_b=1.3;
G_p=0.1;
current= @(V) I_s.*(exp(1.2/0.025.*V)-1)+ G_p.*V-I_b.*(exp(-1.2/0.025.*(V+V_b)-1));
V=linspace(-1.95,0.7,200);
I_1=current(V);
I_N=I_1+I_1.*(0.4*rand(1,length(I_1))-0.2);
figure(1)
hold on
plot(V,I_N)
hold off
figure(2)
hold on
semilogy(V,I_N)
hol... |
%%%%%%%%%%%%%%%SVM分类器训练
function [multiSVMstruct] =multiSVMtrain(traindata,nclass,gamma,c)
%%%多类别SVM训练器
for i=1:(nclass-1)
for j=(i+1):nclass
X=[traindata((32*(i-1)+1):32*i,:);traindata((32*(j-1)+1):32*j,:)];
Y=[ones(32,1);zeros(32,1)];
multiSVMstruct{i}{j}=svmtrain(X,Y,'kernel_Function',@... |
function [returnAnswers, humanResponses] = Pacman(numRepBlock, timing)
more off;
close all;
%%%%%% Screen Init %%%%%%%
PsychDefaultSetup(2);
Screen('Preference','SkipSyncTests', 1);
Screen('Preference','VisualDebugLevel', 0);
screens = Screen('Screens');
endSc = max(screens);
global white = 0;
globa... |
function psnr = imgPSNR(imgP, imgComp, n)
[row col] = size(imgP);
err = 0;
for i = 1:row
for j = 1:col
err = err + (imgP(i,j) - imgComp(i,j))^2;
end
end
mse = err / (row*col);
psnr = 10*log10(n*n/mse); |
function [x] = unicycleTest()
% This function generates random linear speeds and angular velocities for 5
% randomly generated time intervals. The "unicycleModel" function is then
% called to calculate the positions vs time.
% Clean up
close all
clc
x = [1;2;0]; % VERY initial conditions
c = 1; % initiate counter
a ... |
function b = secant(f, a, b)
% Solves f(x)=0 for x, requires two initial aproximations.
yb=1;
ya=f(a);
while(abs(yb)>eps)
yb=f(b);
temp=b;
b=b-yb*(b-a)./(yb-ya);
a=temp;
ya=yb;
end
end
|
%Section 1.4
%Problem 11
% Initialization
f1 = @(x) x^3 - 5.06*x^2 - 10.392*x + 46.2;
fp1 = @(x) 3*x^2 - 10.12*x - 10.392;
f2 = @(x) x^3 - 1100*x^2 + 100220*x - 20000;
fp2 = @(x) 3*x^2 -2200*x +100220;
% a
fprintf('a\n')
[xbest,~,nitr,~] = NewtonAE(f1,fp1,2,1e-6,100,0);
fprintf('Itr:%d, x:%f\n',nitr, xbest)
[xbest,... |
%{
Ex.2 Fie ecuatia x^3 - 7 * x ^2 + 14 * x - 6
a. Sa se construiasca in Matlab o procedura cu sintaxa [xaprox] = MetBisectie(f, a, b, ε).
b. Intr-un fisier script sa se construiasca ın Matlab graficul functiei f(x) = x^3 - 7 * x ^2 + 14 * x - 6;
pe intervalul [0, 4]. Sa se calculeze solutia aproximativa xaprox cu er... |
%% Sampling theorem:
% pick a sampling frequency
Fs = 120;
% pick times of sampling
t=0:1/Fs:1;
w=12; % pick a signal frequency
y = sin(w*t*2*pi);
figure; plot(t, y, 'LineWidth',2); hold on
% downsample the signal to 60 Hz
t_60Hz = t(1:2:end);
y_60Hz = y(1:2:end);
... |
%Sove e^(x+y) +x2 +0.5y2 +xy -y such that x+2y =3
%Eliminate equality constraints and reformulate as unconstrained
%minimization
clear
f_y = @(y)(exp(3-y)+2.5*y^2 -10*y +9);
df_y = @(y)(-exp(3-y)+5*y-10);
x_k =1; y_k = 1;
obj_k =[];t_k=[]; xks=[]; yks=[]; iterk=[];
for iter = 1:100
Dy = -df_y(y_k)... |
function plot_path(map, path)
% PLOT_PATH Visualize a path through an environment
% PLOT_PATH(map, path) creates a figure showing a path through the
% environment. path is an N-by-3 matrix where each row corresponds to the
% (x, y, z) coordinates of one point along the path.
tic
clf
line=size(map.block,1);
for... |
function [isc, p, stats, perf, rand_perf] = eeg_corrca( ALLEEG, stimulusIdc, flag_randclass)
N = length(ALLEEG);
T = min([ALLEEG.pnts]);
D = ALLEEG(1).nbchan;
conditionList = cellfun(@(x) strcmp(x(4), 's'), {ALLEEG.setname});
X = zeros(T,D,N);
% number of stimulus conditions
C = length(stimulusIdc);
% add all eeg... |
%
%
%
%
clear all;
close all;
clc;
N = 500; % Size of the simulated network whose connectivity must be
% synthetically generated...
%--------------------------------------------------------------------------
% Test 1 - random connectivity
p = 0.4; % Marginal probability of a synaptic co... |
% % Generate histogram %hist_RG = [imhist(Blurred_img(:,:,:,1))
% imhist(Blurred_img(:,:,:,2))];
%
% % Normalize avg_R = mean(Blurred_img(:,:,:,1),'all'); avg_G =
% mean(Blurred_img(:,:,:,2),'all'); min_R =
% min(Blurred_img(:,:,:,1),[],'all'); min_G =
% min(Blurred_img(:,:,:,2),[],'all');
... |
function [k,X,Y,fxy,wch,wucha,P]=RK4 (funfcn,fun,x0,b,C,y0,h)
x=x0; y=y0;p=128; n=fix((b-x0)/h); fxy=zeros(p,1);
wucha=zeros(p,1); wch=zeros(p,1); X=zeros(p,1);
Y=zeros(p,length(y)); k=1; X(k)=x; Y(k,:)=y';
% 绘图.
clc,x,h,y
%计算
%fxy=fxy(:);
for k=2:n+1
x=x+h;
a2=C(5);a3=C(6); a4=C(7);
b21=C(8);
b31=C(9); ... |
%% Subplot of all flags from files
subplotIterator = 1;
for i = 1:2:500
subplot(16, 16, subplotIterator);
fullPath = strcat(prefixPath, countryIds(:, i:i+1), postfixPath);
img = imread(fullPath);
% We standardize flags to 32x16 by filling out if necessary
if size(img,3) ~= 3 % If MATLAB couldn... |
function Ex1_TheSolarSystem
clear all;clc;close all;delete('*.asv');
%% Units uses
% *Units: Mass(kg), redios(AU : 1 AU = 1.5e-11 m), time(yr)*
k=1e3;ks=.04;
r_sun=k*(6.9551e8/1.5e11);
%% Planets
%
% *1- Mercury (Me)*
M_Me=2.4e23; rs_Me=0.38710; ec_Me=0.206;
r_Me=k*((2439.7e3)/1.5e11);%AU*e3: radi... |
% mod_wrksht = worksheet(:,(2:26));
% mod_wrksht(:,end+1:end+4) = worksheet(:,33:36);
% mod_wrksht(:,end+1:end+11) = worksheet(:,37:47);
% mod_wrksht(:,end+1:end+3) = worksheet(:,50:52);
% mod_wrksht = mod_wrksht(1:length(current_sub),:);
mod_wrksht = analysis_matrix;
count = 0;
for i = 1:size(analysis_matrix,1)
... |
clc
clear
load('train.mat')
load('test.mat')
%preprocessing
%find mean of each row
mu = mean(train_data, 2);
sd = std(train_data, 0, 2);
%standardization method
strd_train = (train_data-mu)./sd;
strd_test = (test_data-mu)./sd;
%checking for kernel suitability
K = strd_train'*strd_train;
isSuitable = svm_helper.check... |
%Input: Matrix
%Description: Calculates, for each row, the average of the entries in that
%row.
%Output: Vector (Column)
function average=Average_R(x)
format long
average=x(:,1);
for i=2:length(x(1,:))
average=average+x(:,i);
end
average=average/length(x(1,:));
end
|
%% Q1 %%
clear
clc
%% Part 1 %%
[samples, text, raw] = xlsread("./resources/California_birth_1.xlsx");
for i = 1:14
if (text(1, i) == "TGRAMS")
break
end
end
for j = 1:14
if (text(1, j) == "WEEKS")
break
end
end
mean_TGRAMS = mean(samples(:, i));
median_TGRAMS = median(samples(:, i));... |
function handle = stackViewer(F, tag, minmax)
%Focused.stackViewer is the focused wrapper for stackViewer
% it creates the memory map and optionally loads the mask
switch nargin
case 1
tag = 'source';
end
titleFig = F.name; % get title
mask = []; % default mask
switch tag
... |
clc;
clear all;
%%
data=load('train_super_annotations.mat');
train_path=data.train_path(1:500);
train_gaze=data.train_gaze(1:500);
train_bbox=data.train_bbox(1:500);
train_meta=data.train_meta(1:500);
train_eyes=data.train_eyes(1:500);
%%
%train_subset=[subset_path,subset_gaze, subset_bbox,subset_meta,subset_eyes]
... |
T_F1 = 10;
a = 0.05;
%start with a number greater than T_F1 so that feed starts immediately
k=0;
buffer1 = 0;
buffer2 = 0;
timer1 = tic;
timer2 = tic;
disp([num2str(toc(timer1)),', ',num2str(toc(timer2))])
while (k<12)
if toc(timer1) > T_F1*exp(-a*toc(timer2))
switch buffer1
case 0
k=... |
%clear all
clc
%load_OrginalData_6by6
%-------------------------------------------------------------------------
%Maximum_Num=2^36-1;
%Test_X=zeros(1000,6,6);
%Remain_Index=zeros(Maximum_Num-length(InputX),1);
Create_X=zeros(length(InputX),6,6);
count_index=1;
count_test=1;
count_train=1;
%------------------... |
% %%align two wet images one to each other.
% %%The function tries different angles,rotate one of the two images,and for each angle calculate the
% %%translation of this image repect the other one.The phase
% %%correlation function returns the quality value q The angle corresponding to the
% %%best q value is se... |
% MATLAB R2015a function
% S. M. Farzaneh, farzaneh@nyu.edu
% Created: September 20, 2017
% Title: Compute relaxation time in bilayer graphene
% and save it to data/relaxation/
% Note: this function uses parallel for loop (parfor)
% Note: the input arguments must be scalar
function [] = compute_relaxation_bilayer(s,... |
function saveniidata(NII,FN)
% function saveniidata(NII,FN)
% if exist('save_untouch_nii','file')
% save_untouch_nii(NII,FN);
% else
% save_nii(NII,FN);
% end
try
save_nii(NII,FN);
catch
save_untouch_nii(NII,FN);
end |
%% Test 1: Simple Pendulum
%
% Reference
% https://ocw.mit.edu/courses/mechanical-engineering/2-003j-dynamics-and-control-i-spring-2007/lecture-notes/lec16.pdf
syms theta dtheta ddtheta
syms m g l
T = 1/2*m*l^2*dtheta^2;
V = - m*g*l*cos(theta);
xVec = theta;
dxVec = dtheta;
ddxVec = ddtheta;
[Mmat,bvec] = Lagrange... |
batiksongket = imread ('songket_palembang.jpg')
%imshow(batiksongket);
resize128 = imresize(batiksongket,[128,128]);
%imshow(resize128);
grayscale = rgb2gray(resize128);
%imshow(grayscale);
histeq = histeq(grayscale);
canny = edge(histeq,'canny');
subplot(2,2,1); imshow(resize128); title('original');
subplot(2,2,2)... |
function determine_KPPVcenters(name, n, m)
img = imread(name);
properties = get_numbers_properties(img);
img = imbinarize(img);
img = 1-img;
s = size(properties);
nb_columns = s(1)/10;
dlmwrite('KPPVcenters.csv',[]);
for i = 1:10
for j = 1:nb_columns
... |
%% ========================================================================
% y0 function (example1)
% written by Dongjin Lee (dongjin-lee@uiowa.edu)
%% ========================================================================
function [output]=responY1(X,mu)
global cntY1
cntY1 = cntY1 + 1;
%multivariate Gauss... |
function [ MaxEnvVec] = MaxEnv( samples, blockSize, hopSize )
%This functions calculate the peak Envelope in each block and returns a
%vector containing all the peak envelopes for the audiofile.
L = length(samples);
n = 1;
MaxEnvVec = [];
index = [];
for n=1:hopSize:L-blockSize
currentBlock = abs(samp... |
function [ y ] = rtab_1D_1out( xv, yv, x, mode)
% RTAB Read Table
% Read y(x) function from table by interpolation. xv and yv are data
% arrays. x is the query point(s). y is the interpolated answer(s).
% xv data points NEEDS TO BE ORDERED from small to big values.
% If mode == 0, xv data points must be given in ... |
%% Part1
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
close all;
clc;
clear;
%% Step1: Define intrinsic parameters
au = 557.093; av=712.9824; % Pixel conversion parameters
u0=326.3819; v0=298.6679; % Principal point in the image plane
f=80; % focal length. Unit: mm
Tx=100; Ty=0; Tz=1500 ... |
function [V,pcaData]=fpca(traindata,k,mA)
m=size(traindata,1);
% mdata=mean(traindata,1);
mdata_matrix=repmat(mA,m,1);
z=traindata-mdata_matrix; %使得原始数据均值为0；
A=z*z';
[U,D]=eigs(A,k); %计算A的前K个特征值对角阵D与特征向量U；其中U为z*z'的特征向量；
D=inv(D); %求矩阵的逆；
V=z'*U*D; %V为z'*z的特征向量；这一步是按照自己对SVD的理解写的，不一定正确，但对结果影响不大；
% V... |
function [ck kcvq]=k_convexQ(v)
% K_CONVEXQ checks whether the game v is k-convex.
%
%
% Usage: [ck kcvq]=k_convexQ(v)
% Define variables:
% output:
% ck -- Returns 0 in case of a non k-convex game, otherwise
% a vector/list of numbers indicating which kind of
% k-convexity has been d... |
function [ net ] = InitNet(net_param, data_set, test_set)
net.net_param = net_param;
batch_sz = net_param.train_param.batch_size;
test_batch_sz = net_param.test_param.batch_size;
layer_num = length(net_param.architecture)/2;
layers = cell(layer_num, 1); % parameters of the layer
layers_train = cell(layer_num, 1); % mem... |
%% RLWM + PST - new version 2014 (Anne Collins))
%%%% Anne Collins
%%%% Brown University
%%%% November 2014
%%%% anne_collins@brown.edu
%%%% RLWM task instructions
function InstructionsLSSt_controller(w,rect,Actions,SMat)
debug = 0;
load debugstate
% if debug
% [w, rect] = Screen('OpenWindow', 0, 0,[],32,2);... |
clear;
T_emax=471;
d=1;
n_p=2701;
igh=1;
uamax=95;
F=3.05;
r_r=F*d/2/pi;
m=8830;
g=9.8;
alpha=16.7/180*pi;
psi_max=f*cos(alpha)+sin(alpha);
eta_T=0.858;
init_i0=r_r*n_p/uamax/igh;
i0=0.377*init_i0;
ig1=m*g*psi_max*r_r/T_emax/i0/eta_T;
|
function v_ = propagation_v_R(w, v, p, rotation_matrix)
v_ = rotation_matrix * (v + cross(w, p));
end |
function [f,lo,f_convorder,steer] = filters(n_tap)
%--------------------------------------------------------------------------
%
% See demo_sepspyr.m for usage examples and help
%
% Copyright (c) 2013 Jeffrey Byrne <jebyrne@cis.upenn.edu>
%
%--------------------------------------------------------------------------
... |
function [ bic ] = BIC(X, C, idx, k)
M=size(C,2);
R=length(X);
uni=unique(idx);
s=0;
for i=1:k
t=(idx==uni(i));
for j=1:length(X)
if(t(j)==1)
s=s+norm(X(j,:)-C(i,:))^2;
end
end
end
sigma=(1/(M*(length(X)-k)))*s;
L=0;
for i=1:k;
R_n=sum(idx==uni(i));
L=L+(-0.5*R_n*log(2... |
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