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clear; clc; close all;
% https://www.mathworks.com/help/signal/ug/fir-filter-design.html
% https://www.mathworks.com/help/signal/ref/fir1.html
% https://www.mathworks.com/help/signal/ref/cheby1.html
% https://www.mathworks.com/help/signal/ref/kaiserord.html
%
%https://www.mathworks.com/help/signal/ref/freqz.htm... |
addpath('quaternion_library'); clear all;close all;clc;
load('AllData8.csv');%load('AllData_Double_deney2.csv');%load('ExampleData.mat');
% SENSOR DATA ----------------------------------------------------
% Ideal IMU Data
% acc = zeros(N,3);av = zeros(N,3);rng(1);% q = randrot(N,1); % uniformly distributed random rota... |
disp('instancias/chr20a.dat');
for i=1:1
Pso('instancias/chr20a.dat');
end
disp ('QAP finish')
return |
% Example navigation task
% Copyright 2018 The MathWorks, Inc.
%% Setup
connectToRobot;
% Create publishers and subscribers for navigation
odomSub = rossubscriber(AMCL_POSE);
[vPub,vMsg] = rospublisher(ROBOT_CMD_VEL);
% Reset the odometry to zero
%resetOdometry;
%% Path planning
% First, load the pre... |
clear all;
close all;
clc;
%% Read Original Image
Original_Image = imread('SunnyLake.bmp');
figure(1)
subplot(1,2,1)
imshow(Original_Image)
title('Original Image');
%% Manual GrayScale Generate
[w,h,z] = size(Original_Image);
% GrayScale_Image=zeros(w,h);
for(i=1:w)
for(j=1:h)
GrayScal... |
function tmp = AMIGO_toString(f,writeEmptyType)
% AMIGO_toString converts variable into string.
if nargin < 2 || isempty(writeEmptyType)
writeEmptyType = true;
end
tmp = '';
fs = size(f);
cf = class(f);
if isempty(f)
if writeEmptyType
tmp = strcat(tmp, sprintf('[] (%s)',cf));
end
elseif isscalar(f)... |
data = [];
tags = []; % 0 means nonspeech and 1 means speech
dataIndex = 1;
speechfolder = fullfile(datasetFolder,'speech');
nonspeechfolder = fullfile(datasetFolder,'nonspeech');
splist = dir(fullfile(speechfolder,'*.wav'));
for i=1:length(splist)
disp(splist(i).name);
disp(['speech ',num2str(i) , '/' , num2... |
% Vertex eccentricity - the maximum distance to any other vertex
% Input: adjacency matrix
% Output: vector of eccentricities
% Other routines used: simple_dijkstra.m
function ec=vertex_eccentricity(adj)
n=size(adj,1);
ec=zeros(1,n);
for s=1:n; ec(s)=max( simple_dijkstra(adj,s) ); end |
% EJERCICIOS RESUELTOS DE VISIÓN POR COMPUTADOR
% Autores: Gonzalo Pajares y Jesús Manuel de la Cruz
% Copyright RA-MA, 2007
% Ejercicio 12.8: Formas a partir de la intensidad
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% 12.7.3 Obtención del albedo y la dirección de iluminación
... |
%% Problem 1
close all; clear; clc;
e0 = 8.85e-12; % [E/m]
Lx = 0.03; %[m]
Ly = Lx;
R = Lx/6;
x0 = Lx/2; y0 = Ly/2; % center of the cylinder
rou0 = 8.85e-12; % charge density [C/m^3]
nx = 20; % number of intevals
ny = nx;
delx = Lx/nx;
dely = Ly/ny;
x = 0:delx:Lx;
y = 0:dely:Ly;
[X, Y] = meshgrid(x,y);
r = ((X-x0)... |
%% microFJ gives the function to zero for finding equilibrium
% sys1 - reference state
% sys2 - reference state for phase shift condition
% M - number of cars (M must divide N)
% N - discretization points
% L - length of road
% tau - momentum constant;
% Returns:
% F - the function to zero for an equilibrium so... |
function fo = warp_f_gamma(f,gamma,t)
fo = interp1(t, f, (t(end)-t(1)).*gamma + t(1))'; |
% In/out/pass Self-Organizing Map for vertical samples
function result = som_v(input)
%% Checking input dimension
if size(input, 1) ~= 1
error('Wrong input row size');
elseif size(input, 2) ~= 30
error('Wrong input column size');
end
%% Input computation
global som_net_v so... |
function[] = myOutlier(path, h, w, num_ids, num_train, num_test, k)
% path = '../../../att_faces/s'; h= 112; w = 92; num_ids = 32; num_train = 6; num_test = 4; k = 0;
d = h*w;
trainSet = zeros(h, w, num_train, num_ids);
testSet = zeros(h, w, num_test, num_ids);
outliers = zeros(h, w, num_test, (40-num_ids));
meanArr =... |
% Aufgabe 9
% Erstellen eines kartesischen Gitters
xmesh = linspace(0,1,11);
ymesh = linspace(0,1,11);
zmesh = linspace(0,1,11);
mesh = cartMesh(xmesh, ymesh, zmesh);
Mx = mesh.Mx;
My = mesh.My;
Mz = mesh.Mz;
nx = mesh.nx;
ny = mesh.ny;
nz = mesh.nz;
np = mesh.np;
% Erstellen des Strom-Vektors
jbow = zeros(3*np,1);... |
clc;close all;
clear all;
Annotation_root = '/home/zouyunzhe/JointTracking/tmp/posetrack/posetrack_data/annotations/';
Annotation_path = fullfile(Annotation_root,'train_box_pairs_same_frame');
folder_layer = dir(Annotation_path);
folder_layer(1:2) = [];
if length(folder_layer)
% old_folder =
% new_folder = |
% clear
% close all
% load('s.mat')
D = 200;
N = D;
Nu = D;
lambda = 1;
Ypp = 33.42;
Upp = 27;
Umin = 0;
Umax = 100;
% dUmax = 0.1;
% dUmin = -0.1;
Yzad = zeros(N,1);
Y0 = zeros(N,1);
Yk = zeros(N,1);
% U(1:11) = Upp;
% Y(1:11) = Ypp;
dU = zeros(Nu,1);
dUp = zeros(D-1,1);
M = zeros(N,Nu);
Mp = zeros(N,D-1);
for ... |
fig1 = figure('Position',[1,40,400,300]);fig2 = figure('Position',[1,40,400,300]);
fig3 = figure('Position',[1,40,400,300]);fig4 = figure('Position',[1,40,400,300]);
fig5 = figure('Position',[1,40,800,600]);
% fig6 = figure('Position',[1,40,400,300]);
% fig7 = figure('Position',[1,40,400,300]);fig8 = figure('Position',... |
%% Description
% this code generates visiblity field for a target represented by a
% gaussian model
addpath('..\ASAP1','..\multi_target_tracking\','..\plotregion\');
addpath('..\multi_target_tracking\polytopes_2017_10_04_v1.9')
addpath(genpath('..\robot-10.1'))
addpath(genpath('.\Matlab_Polygons_intersection\'))
addp... |
clear all;
Htable = zeros(8,181,181,400);
ccount = 1;
for count = 1:100
for count2 = 2:2:8
%if(count == 32 && count2 == 7)
%ccount = ccount + 1;
% continue;
%end
filename = strcat('C:\Users\Vamshi\Desktop\Fingerprint\Database\FVC2002\Dbs\DB1_A\',num2str(count),'_',num2... |
function [J, grad] = costFunction(theta, X, y)
% Compute cost and gradient for logistic regression
% J = COSTFUNCTION(theta, X, y) computes the cost of using theta as the
% parameter for logistic regression and the gradient of the cost
% w.r.t. to the parameters.
m = length(y); % number of training examples
J = 0;
gr... |
% MeanVelocityToAcceleration.m
% File defining one of the methods of class BallisticDataAnalysis.
% =========================================================================
% Write something short.
% This function take input from "AvgVar" to find average acceleration due
% to gravity and compare with the acceleration ... |
function trs = filter1(omega,Dw_f,Loss_f) % transmission or transmittance
omega = omega';
omega =fftshift(omega);
m = 1; % gausssian parameter
trs = sqrt(1-Loss_f)*exp(-0.5*(4^m)*log(2).*(omega./Dw_f).^(2*m));
end |
function [progress, angles] = computeProgressOfProjection(v,cursorToTarget)
% v is dxN
% cursorToTarget is dx1 or dxN
%
% This is simple linear algebra that YOU SHOULD KNOW!
%
% Sanity check:
% theta = linspace(0,2*pi,100);
% v = [cos(theta); sin(theta)]; % velocities are on unit circle
% targetDirection = [1;0]; % uni... |
% FILE: Assignment2.m
% NAME: ZHIMINGYUAN LIU
% DESCRIPTION: Plot the first 50 samples of cat.wav, both discrete one
% and
% continous one.
% Clear all variables and close all windows
clear all; close all;
% Load the cat.wav signal
[y, Fs] = audioread('cat.wav');
n = 0:(1):(length(y)-1);
% Extract the 50 samples an... |
function [idx] = search_parent(parent_node, OPEN)
%UNTITLED6 Summary of this function goes here
% Detailed explanation goes here
c1 = size(OPEN, 1);
idx = 0;
for i = 1:c1
if OPEN(i, 2:3) == parent_node
idx = i;
break;
end
end
if 0 == idx
error('not ... |
currentfolder = pwd;
cd currentfolder;
file = 'test\foot10inpen.txt';
dem = ' ';
A = importdata(file,dem);
h = fspecial('gaussian');
y = filter2(h, A);
save('test\foot10inpenmat.txt','y','-ascii'); |
% testmouse.m - testing mouse functionality
config_display(0);
config_mouse(100);
config_keyboard;
start_cogent;
map = getmousemap;
x=0;
y=0;
n=0
while(1)
n=n+1
% Draw text at position defined by mouse (0,0 at first).
clearkeys;
clearpict( 1 );
preparestring( '+', 1, x,y );
drawpict( 1 );
... |
% plot aggregate data across subjects
% plot target jump responses (as position or velocity) as well as basic
% trajectory metrics (path length etc)
%
clear all
load P2P
groups = {'rot','mir'};
Nsubj = 10;
g = NaN(10,600);
col = lines;
col = col(1:7,:);
figure
for i = 1:length(groups)
pathlength = g;
RT = g;
... |
classdef Series < handle
%SERIES DICOM Series
% A Series has a UID, a modality and contains zero or more SopInstances and
% zero or more Images. Each Series belongs to a Study.
%----------------------------------------------------------------------------
properties
end
%------------------------------------... |
function [AA,BB,CC,V,Go,Gi,Ind,dims,U]=zzescbedz(E,A,B,C,type,tol)
% Structure Decomposition of Strictly Proper System (E,A,B,C,0)
%
% [AA,BB,CC,V,Go,Gi,Ind,dims,U]=zzescbedz(E,A,B,C,type,tol)
if nargin==4
type=0; tol=1e-8;
elseif nargin==5,
tol=1e-8;
end
n=size(A,1);
m=size(B,2); p=size(C,1);
if... |
function [message] = bitGenerator(length)
message = randi([0 1], length, 1);
end
|
function mergeBlobsAcrossSlices(inputMatFile, outputFileName)
% This function consolidates the puncta across slices
% scale = 3.72; %3.72 nm/pixel for the gelatin dataset
[~, scale, dxy_thresh] = getSignalTreshold();
%Bring CC & CC_stats into the workspace
load(inputMatFile);
% Get location of all the centroids det... |
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% <subspaces>
% Copyright (C) 2016 Gamaleldin F. Elsayed and John P. Cunningham (see full notice in README)
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% [Ix] = sampleRandSubspaces(dim, useCov, IndexFn, numSample... |
clear all
close all
A = mmread('rajat11.mtx');
%A = A(1:100,1:100);
figure
subplot(2,2,1)
spy(A,'b');
subplot(2,2,2)
[a,b] = getBlock(A,10);
spy(a,'r');
subplot(2,2,3)
F = SILUR(A,2);
spy(F,'b');
subplot(2,2,4)
f = SILUR(a,2);
spy(f,'r');
|
%% setTfSettings.m
%
function setTfSettings()
settings.tfDir = 'C:\Documents and Settings\Wilson Lab\Desktop\Code\tetheredFlight\';
settings.dataDir = 'C:\Documents and Settings\Wilson Lab\Desktop\Data\Flight\';
oldDir = cd([settings.tfDir,'Acquisition\']);
save('.tfSettings.mat','settings');... |
function [F1, F2, M1, M2] = applyFpCalib(cortex_f1_adc, cortex_f1_adc_offset, cortex_f2_adc, cortex_f2_adc_offset)
% defining the calibration matrix, as is from the AMTI calibration files
% FP1 = 0541
% FP2 = 0561
% setting up conversion factors
analogToVoltFactor = (2^16)/20; % analog units to... |
function y = comb(x, fs, gain, delayLength)
% note, gain should be less than 1.
delayLength = round(delayLength*fs);
% create coefficients
b = [zeros(1, delayLength), 1];
a = [1, zeros(1, delayLength-1), -gain];
% filter the input signal
y = filter(b,a,x); |
function Gbest = UpdateGbest(W,Population,Z)
% Update the global best set
%--------------------------------------------------------------------------
% The copyright of the PlatEMO belongs to the BIMK Group. You are free to
% use the PlatEMO for research purposes. All publications which use this
% platform or any code... |
function [nderiv, derivcoef, Lconstwrd] = Lset(Lfd)
% LSET Determine order and coefficients of linear differential operator
% last modified 1 July 1998
derivcoef = 0;
Lconstwrd = 0;
switch class(Lfd)
case 'double'
if length(Lfd) == 1
nderiv = Lfd;
if nderiv ~= round(nderiv)
... |
classdef OptCell < OptObject
properties
maximumArea
areaVariable
end
methods
function obj = OptCell(maxArea)
if nargin > 0
obj.maximumArea = maxArea;
end
end
function matrix = initialize(self, matrix)
s... |
i = 0;
%% Ori column
%12:21
i = i+1;
db(i).mouse_name = 'M151203_FR068';
db(i).date = '2015-12-18';
db(i).expts = [2];
db(i).stimType = {'oris'};
db(i).expID = 1;
db(i).starterID = 1;
db(i).ObjZ = 0 + 85;
db(i).starterYX = [266, 256];
i = i+1;
db(i).mouse_name = 'M151... |
classdef FixedMultiIndexSetTest < matlab.unittest.TestCase
% Copyright 2014 - 2016 The MathWorks, Inc.
methods ( Test )
function size( testCase )
dim = 2;
maxOrder = 3;
mset = FixedMultiIndexSet(dim,maxOrder);
testCase.verifyEqual( double(mset.Size()), (... |
function shiftman = fn_alignimage(a,b,varargin)
% function [shift =] fn_alignimage(a,b[,shift][,hf])
%---
% display a superposition of gray-level images a and b, and allow to move
% image b
%
% Example:
% load trees,
% Y = interp2(1:350,(1:258)',X,-4.3:344.7,(13:270)');
% shift=fn_alignimage(X,Y)
% Thomas Dene... |
%% Average cost of transpor for a city
% file: question4.m
%
% by Nathaniel Chang
% 03/03/2021
% programing (MATLAB and C) Semester 1
% firstly I'm going to assume that everyone in the city population drives a
% car to work everyday and that everyone in the city population works. I
% have also assumed that every one t... |
%number of samples
numsample = 5000;
%the input file
close all;
m = csvread('./../Data/data.csv', 1, 1);
% [t3,idx] = sort(m(:,3));
% y3 = m(idx,11);
t3 = m(:,3);
y3 = m(:,11);
bins = 50;
y = zeros(bins,1);
t = zeros(bins,1);
range = max(t3)-min(t3);
j = 1;
for i = 1:bins,
in = min(t3) + (range/bins)*(i-1);
... |
function CC_link_MRI
% Create softlinks to freesurfer recon directories
%
% -BQR 07/27/16
datafile = '/space/mdeh7/1/halgdev/projects/bqrosen/CC/doc/freesurfer_file_location.txt';
dest = '/space/mdeh7/1/halgdev/projects/bqrosen/CC/RECON';
data = importdata(datafile);
for iln = 1:numel(data)
if isempty(data{iln})
... |
function [ Hb ] = binentropy( p )
% calculates the binary entropy function (see https://en.wikipedia.org/wiki/Binary_entropy_function ) of a
% Bernoulli process with probability p
Hb = -(p*log2(p) + (1-p)*log2(1-p));
end
|
function Funcs = func_getFunctions(ConNet)
% ConNet is a connectivity matrix!
global num_gene;
global Kmax; % max inputs per gene
Funcs = zeros(num_gene, 2^Kmax);
for i=1:num_gene
vec = ConNet(:,i);
nP = sum(vec); % number of parents (<=3)
nB = 2^nP; % number of bits for... |
function [X] = pairfeat(X_in, dimGroup)
dimGroup = dimGroup(:);
set = cumsum(dimGroup);
set = set + 1;
set = [1;set];
X_in = X_in(set(1):set(2)-1, set(2):set(3)-1);
X = KM(X_in);
|
function myView3D(image,spacing,crosshair,crange,cmap)
dimentions = size (image);
image = double(image);
if nargin < 3 | ~exist('crosshair','var')
crosshair = floor(dimentions * .5);
end
if nargin < 4 | xor(~exist('crange','var'),isempty(crange))
imin = min(image(:));
imax = max(image(:));
crange = [im... |
clear
clc
%headers
disp('\% Class, Professor Name, Class Section, Due Date')
disp('\% Student A')
disp('\% Student B')
disp('\% Student C')
dateZ = strcat('\% DATE: ',date);
disp(dateZ)
%open and read from file
myfile = input('Which design would you like to evaluate? ','s');
fid = fopen(myfile,'r'); %this opens th... |
% Projekat za Petnicu - Detekcija Photoshop-a na slikama
% Obucavanje klasifikatora
% Ova skripta se koristi za obucavanje klasifikatora. Podrazumeva se
% sledece:
% - Slike se nalaze u folderu baza
% - Originalne slike su oznacene kao oi.jpg gde je i broj slike
% - Modifikovane slike su oznacene kao mi.jpg gde... |
syms u0 v0 f real
syms tx ty tz wx wy wz real
syms X Y Z real
% Ihe intrinsic parameter matrix
K=[f 0 u0;
0 f v0;
0 0 1];
% Expression for the rotation matrix based on the Rodrigues formula
theta=sqrt(wx^2+wy^2+wz^2);
omega= [0 -wz wy;
wz 0 -wx;
-wy wx 0;];
R = eye(3) + (sin(theta)/theta)*om... |
function g = confMatrix(T,P)
%CONFMATRIX Compute confusion matrix for 2-class problem
% [cm] = CONFMATRIX(T,P) computes the 2x2 confusion matrix using true class
% (T) and predicted class (P) values
%
%T = true conversion value
%P = predicted conversion value
%T and P must be of same size, and can only take on values ... |
classdef Katz
methods(Static = true)
function [ScoreMatrix] = katz_exact(M, beta)
% KATZ computes the Katz measure between two nodes in a social network.
%
% function [ScoreMatrix] = katz(M, beta)
%
% INPUT:
% M (matrix) adjacency matrix of the graph, size n by n
% beta (scala... |
function d = DuijDVi(Vi, Vj, Gij, Bij, deltai, deltaj, tap, yshunt)
d = -2*Vi*(tap*Bij+yshunt)+Vj*(Gij*sin(deltai-deltaj)-Bij*cos(deltai-deltaj)); |
recalculate = 0;
sr = 1000;
params.tapers = [2,5]; params.Fs = 1000; params.err = [2, 0.05]; params.trialave = 1;
recname = '1240';
foldername = 'ID1240-1241';
% if ~exist(['C:\Users\Julia\work\data\others\elenascottLFP\' recname '\filtered.mat']) || recalculate
% % load(['C:\Users\Julia\work\data\others\elenasc... |
function [matRxLocWithPathloss, rxAntH, cellAntLoc, cellAntH] ...
= fetchPathlossResultsFromSimState(simState, idxEffeCell, ...
idxRxHeight, mapType, simConfigs, locType)
%FETCHPATHLOSSRESULTSFROMSIMSTATE A helper function to fetch pathloss
%results from the simulation state struct variable simState.
%
% Note t... |
function [arrived] = slamMove(inputargshere)
% move function - avoid beacons and continuously move (circle?)
% until confident enough that the beacon locations are correct.
% Once this confidence is high enough, move towards final location
% (but continue updating everything). Maybe have a binary output... |
%% Test the performance for 1 image
%
% img = readimage(val,2);
%
% [pred,scrs] = classify(whalenet,img);
%% Test the performance for the whole test set
% you can run this section to measure the performance in test set
load('whalenetSgdm0.001.mat')
% this line can be change to
% val.ReadFcn = @(loc)imresize... |
function [y]=eval_gauss(x,mu,sigma,gamma)
y = gamma * exp( -((x-mu).^2)/2/sigma^2 )/sqrt(2*pi)/sigma;
|
function [J, grad] = linearRegCostFunction(X, y, theta, lambda)
%LINEARREGCOSTFUNCTION Compute cost and gradient for regularized linear
%regression with multiple variables
% [J, grad] = LINEARREGCOSTFUNCTION(X, y, theta, lambda) computes the
% cost of using theta as the parameter for linear regression to fit the
% ... |
clear all;
demo_setup;
% Using "ground truth" cameras (assuming that congealing finds transform
% yielding structure with optimal compaction).
structure = true_structure;
cameras = true_cameras;
S = k_reshape(structure_to_matrix(structure), 3);
%S = project_rank(S, K);
structure = structure_from_matrix(k_unreshape(S... |
function [f] = m_mem2(t,y,opts,k,K,Cw,twd)
%-----------------------------------------------------------
% function file for empore disk uptake of diuron
% This file is called by Params.m
% states are: y(1)= mass of herbicide in disk (ng)
% units are: volume (L)
% mass (ng)
% kA ... |
function reg_P2 = alvaro_6dof( P2, P1 )
th=5;
lwbnd=10; %not working yet
gap=10;
boxSide= floor((max(P1(:,1)) - min(P1(:,1))) * 0.3);
xP1 = downsample_OPC_to_less_than(P1,60);
xP2 = downsample_OPC_to_less_than(P2,60);
[~, T, ~, ~] = run_bnb6dof(xP2, xP1, th, lwbnd, gap, boxSide);
... |
function [ nl_data ] = prepare_input_dataset( dataset )
%Prepare dataset
min_data=min(dataset); %Computes a vector with the minimum values of each column
max_data=max(dataset); %Computes a vector with the maximum values of each column
min_rep=repmat(min_data,size(dataset,1),1); %Creates a matrix the size of the data ... |
function d = matrixNorm(A, B, type)
d = 0;
switch type
case 1
for i = 1:size(A, 1)
for j = 1:size(A, 2)
d = d + abs(A(i, j) - B(i, j));
end
end
case 2
for i = 1:size(A, 1)
for j = 1:size(A, 2)
d = d + abs(A(i, ... |
% Normalizes variances of patches
% Data given as a matrix where each patch is one column vectors
function Xnorm=variancenormalize(X);
patchnorms=sum(X.^2);
%compute 10% lower quantile
%and define epsilon as this quantile
[patchnormssorted,dummy]=sort(patchnorms,'ascend');
epsilon=patchnormssorted(round(size(X,2)/10)... |
classdef RigidImpact < DiscreteDynamics
% RigidImpact represents a rigid body impact map assuming that the
% impact is plastic and occurs instantaneously.
%
%
% @author Ayonga Hereid @date 2017-04-26
%
% Copyright (c) 2016, AMBER Lab
% All right reserved.
%
% Redistribution ... |
function [net] = cria_RNA(camadas,n_neuronios_camada,funcoes,net_bias,net_IW,net_LW,learningRate,backFunction)
load('maxminNN');
net = newff(c,[n_neuronios_camada,1],funcoes);
net.trainFcn = backFunction{1};
net.trainParam.lr = learningRate; % Learning rate used in some gradi... |
clear;%clc;%close all
tic
dates_all={'Nov_26_13' 'Dec_03_13' 'Dec_17_13' 'Dec_17_13' 'Dec_17_13' 'Dec_18_13'...
'Mar_24_15' 'Mar_28_15'}; %'Jul_03_13' Used different number of increments so much be analyzed separately, but data still good
cellnum_all={'A' 'B' 'A' 'B' 'C' 'A'...
'A' 'A'}; %'B'
trials_all=[1 1 ... |
% minFunc
% cd ('E:\GitHub\paper\lbfgs\lbfgs\minFunc_comprehension')
% addpath(genpath(pwd))
% mexAll
fprintf('Compiling minFunc files...\n');
cd('minFunc/mex/movepixels');
files=dir('*.c');
for i=1:length(files)
filename=[files(i).name];
if(length(filename)<19||(~strcmpi(filename(1:19),'image_interpolation')))... |
function gaborMatrix = EmbedInNoise3(GaborMatrix, Coherence, ProbabilityGaussian, GaussianMatrix)
%EmbedInNoise3 embeds a gabor matrix in noise. It does not trim the gabor into a circle, but instead sets all pixel values with a NaN to random noise.
% GaborMatrix - 2D matrix that holds the pixel values of the Gabor t... |
function O = NonMetricMDS(I)
% Non-Metric Multidimensional scaling by using MATLAB built-in function
% mdscale().
%
% Explanation of input structure, I
% I.DisSimilarityMatrix : Dissimilarity matrix that will be used as guide
% while placing the data points onto 2-D space.
% I.InitMethod ... |
clc
clear all;
close all;
f=(imread('girl.png'));
g=im2double(f);
%%1st channel
img(:,:)=g(:,:,1);
[r,c]=size(img);
order = 50;
n = 0:order;
hlpf = sin(0.5*pi.*(n-(order/2)))./(pi.*(n-(order/2)));
hlpf((order/2)+1) = 0.5;
hlpf2=ftrans2(hlpf);
hhpf = -hlpf;
hhpf((order/2)+1) = 1 + hhpf((order/2)+1);
hhpf2... |
function cid = CpmId( xid,Cpm )
%{
find cpm index having xid
%}
import mbn.*
cid = [];
for ii = 1:length(Cpm)
cpm_ = Cpm{ii};
if isa(cpm_,'cpmjoint')
if ismember(xid,cpm_.scope)
cid = [cid ii];
end
else
if ismember(xid,cpm_.scope(1:cpm_.nc))
cid = [cid ii];
... |
function [ cmaVal ] = cma( seq, semi_win )
%CMA: Central Moving Average, simple
% seq input sequence
% semi_win semi window size of CMA
% simple special processing at head and tail. i.e.
% a(1:100), semiwindow = 10
% head = a(1:10) -> b(i) = mean( a(1: 2i+1) )
% body = a(11:90) -> normal
% tail = a... |
function uiopen(filepath,direct)
% UIOPEN overloaded for custom Files.
% Executed when file is dragged into Command Window
DMStypes = {'.VHD','.VRD','.VDD'}; %Define DMS types
PKtypes = {'.mdd','.svd'}; %Define PK types
[~, filename, extension] = fileparts(filepath);
is... |
clear all;close all;clc;
s = tf('s');
g = 1/((s+0.5)*(s+1)*(s+10));
vector_k = linspace(150,180,100000);
figure('Name', 'lugar de raices de g')
rlocus(g,vector_k)
figure('Name', 'Respuesta al escalon para K critico')
K_critico = 173.25;
gbc=feedback(g*K_critico,1);
step(gbc)
Pc = 1.64;
Ti = Pc/2;
Td = Pc/8;
Kp = 0.... |
function [Qsim, param, varargout] = HydroMod13( P, E, param )
%
% [Qsim, param, varargout] = HydroMod13( P, E, param )
%
% PDM8 hydrological model (modified version)
%
% INPUTS (time series of daily observations [n,1])
% P = mean areal rainfall (mm)
% E = mean areal evapotranspiration (mm)
% Q = stream flow... |
% FuzzyController
function fis = FuzzyController(Safe_Dist,detectorRange,ruleList)
SD = Safe_Dist;
RD = detectorRange;
% Fuzzy Controller
fis = mamfis('Name',"SwarmController");
fis = addInput(fis,[-0.4*SD RD],'Name',"Magnitude");
fis = addInput(fis,[-1.5 1.5],'Name',"Bearing");
fis = addOutput(fis,[-3 3],'Name',"Turni... |
%% ========================================================================
%% BASIC SETUP %% BASIC SETUP %% BASIC SETUP %% BASIC SETUP %%
%% BASIC SETUP %% BASIC SETUP %% BASIC SETUP %% BASIC SETUP %%
%% BASIC SETUP %% BASIC SETUP %% BASIC SETUP %% BASIC SETUP %%
%% ====================================================... |
clc,clear
y=1997:2012;
x0=[5566.03 5435.39 5590.88 5497.59 5567.43 5497.28 5320.4 5547.8 5632.98 5794.97 5818.67 5909.95 5965.15 6021.99 6107.18 6141.8];
n=length(x0);
lamda=x0(1:n-1)./x0(2:n) %求级比
range=minmax(lamda)
x1=cumsum(x0); %累加
for i=2:n
z(i)=0.5*(x1(i)+x1(i-1));
end
B=[-z(2:n)',ones(n-1,1)]; %构造矩阵B和向量Y
Y=x0(... |
% Ex4
% d)
N = 10;
P = 100000;
lambda = 1800;
C = 10;
f = [2500,5000,7500,10000,12500,15000,17500,20000];
b = 0;
% Simulator 2 Run
Sim2_PL = zeros(1,length(lambda));
Sim2_termPL = zeros(1,length(lambda));
Sim2_APD = zeros(1,length(lambda));
Sim2_termAPD = zeros(1,length(lambda));
Sim2_MPD = zeros(1,length(lambda));
... |
% x값의 데이터를 입력합니다
x = [0 100 200 400 600 800 1000];
% fx값의 데이터를 입력합니다
fx = [0 0.82436 1 0.73576 0.40601 0.19915 0.09158];
% xx값을 이용해 (0,1000) 구간을 100등분합니다
xx = linspace(0,1000);
% sp1에 자연끝단조건 3차 스플라인의 값을 입력합니다
sp1 = interp1(x,fx,xx,'spline');
% sp2에 Hermite 3차 스플라인의 값을 입력합니다
sp2 = interp1(x,fx,xx,'pchip... |
function [theta_list, phi_list, a_n] = get_angu_spectrum(data,narrow_band,plot_it,save_name, hn)
N_theta = 25;
N_phi = 50;
N_X = 10;
N_Y = 10;
N_Z = 10;
if narrow_band
N_taps = 1;
else
N_taps = 8;
end
h_tot = zeros(1, 1, N_taps);
theta_list = linspace(0, pi, N_... |
% Demo for VIPeR dataset
clear; clc;
curName = mfilename('fullpath');
[demoDir, name, ext] = fileparts(curName);
cd(demoDir);
addpath(genpath(fullfile(demoDir, '../')));
addpath(genpath(fullfile(demoDir, '../../code/')));
resDir = fullfile(demoDir, 'result');
mkdir(resDir);
matDir = fullfile(demoDir, '..\..\mat\viper')... |
% Copyright (C) 2018-2019
% Abhishek Moturu, moturuab@cs.toronto.edu
% Alex Chang, le.chang@mail.utoronto.ca
% creates nodules, inserts them into CT data, and makes PARALLEL X-Rays
% must have the following files in the same folder:
% random_shape_generator.py
% readNPY.m
% readNPYheader.m
% dicomHandler.m
% posit... |
% function im_SR = faceSR2(im_l,PPs,dicts, imrow, imcol, upscale,patch_size,overlap)
function im_SR = faceSR2(im_l,PPs,dicts, imrow, imcol, upscale,patch_size,overlap,center_flag,impat_pixel)
%faceSR 此处显示有关此函数的摘要
% 此处显示详细说明
% [imrow, imcol , ~] = size(YH);
U = ceil((imrow-overlap)/(patch_size-overlap));
V = ceil((im... |
function res = TV_Temp()
res.adjoint = 0;
res = class(res,'TV_Temp');
|
function [ final_train,final_trainlabels ] = RUS( final_ratio,train,train_labels )
%Minority class label is 1; Majority class label is 0
final_train=train;
final_trainlabels=train_labels;
MAJ_num=final_ratio.*length(find(train_labels==1));
MAJ_ind=find(train_labels==0);
MAJ_size=length(MAJ_ind);
rand_ind=randpe... |
function [] = Dhuliya_Arjun_Stop_sign (img_name )
% Image chain to detect road sign from image
% adding the folder path
%closing any opened figure
close all;
%adding possible image folder paths
addpath('Stop_Sign_Images');
addpath('Stop_Sign_Hi_Res');
addpath('Images');
%Open a new figure
% figure
%reading the image
i... |
function [G, T] = addToNetwork(G, neuron, synapseName, varargin)
% ADDTONETWORK
%
% Description:
% Add a neuron and all neurons linked by a specific synapse type to a
% directed graph.
%
% Syntax:
% [G, T] = addToNetwork(G, neuron, synapseName, varargin);
%
% Inputs:
% G... |
function [T t z] = diffusioneq(n,zmax,t_f,D)
%Solution of the Diffusion equation of the Wine Cellar Problem (HW09) using explicit Euler
%where n is the number of gridpoints over z
%note that t is in years and z in meters
%THERES SOME SMALL BUG IN HERE, BETTER USE NEW VERSION!!!
tic;
a = 12; b=10;
dz = zmax/n;
%take dt ... |
classdef SimHopRob < handle
properties(SetAccess = protected)
CoM;
Padel;
Height;
PadelHeight;
CoMRadius;
Target;
end
methods
function rob = SimHopRob(CoMRadius,PadelHeight,Height,bnd_B)
% input: CoMRadius: radius of C... |
function [ undx, xdnu ] = r8col_tol_undex ( m, n, a, unique_num, tol )
%*****************************************************************************80
%
%% R8COL_TOL_UNDEX indexes tolerably unique entries of an R8COL.
%
% Discussion:
%
% An R8COL is an M x N array of R8 values, regarded as N columns
% each of ... |
%% Stelling 21
%
% Als je in Matlab vectoren bij elkaar optelt, dan wordt
% dit 'pair-wise addition' genoemd.
%
Antwoord = 1;
|
clear all
close all
Num_Sections = 4; %number of sections in laminar flow profile
Ra= 0.5; % Radius of Artery in cm
V_max = 60; %(cm/s)
off_start= 0;
off_step = 10; %0.02;
off_end = 500;
grad_err_start = -0.3;
grad_err_step = 0.02;
grad_err_end = 0.3;
Y=off_start:off_step:off_end;
X=grad_err_start:grad_err_step:gr... |
%{
common.MpSession (manual) # multipatch session info
-> common.MpSlice
mp_sess : smallint # mutipatch recording session number for this slice
-----
mp_sess_purpose='stimulation' : enum('stimulation','firingpattern','spontaneous','other') # purpose
mp_sess_path ="" ... |
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