text stringlengths 8 6.12M |
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%按照序号顺序排列各节点R值、V值(展开为长向量)
function [R_list,V_list] = calc_RV_list(R,V)
R_list=[];V_list=[];
for i = 1:length(R)
% for j = 1:length(R{i})
R_list=[R_list,R{i}];
V_list=[V_list,V{i}];
% end
end
end |
function y = flow_projection(start,end_point, index, theta)
% function y = flow_projection(start,end_point, index, theta)
%
% letting the flow starting at start and flowing linearly to end_point
% intersect the hyperplane defined by x(index) = theta
% INPUT
% start element of R^(MxN)+
% end_point sink of th... |
% Copyright 2018-2020, by the California Institute of Technology. ALL RIGHTS
% RESERVED. United States Government Sponsorship acknowledged. Any
% commercial use must be negotiated with the Office of Technology Transfer
% at the California Institute of Technology.
% ------------------------------------------------------... |
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% Copyright 2012 Analog Devices, Inc.
%
% Licensed under the Apache License, Version 2.0 (the "License");
% you may not use this file except in compliance with the License.
% You may obtain a copy of the License at
%
% http:/... |
function res = imshowScaled(image,low,high)
% imshowScaled: displays image with low and high (fractional) values specified
% PURPOSE: read, scale, and display an image
% (well, add a choice to scale or not, later)
% low and high are proportions of the range, not intensity values
% A=imread(image);
if high<l... |
function [pose] = find_closest_data_points(pose, view_axis, settings)
D = settings.D;
%% Inpaint
I = pose.back_map_for_rendered_data(:, :, 1);
[H, W] = size(pose.rendered_data);
for h = 1:H
for w = 1:W
if pose.rendered_data(h, w) == 0; continue; end
if I(h, w) ~= 0; continue; end
[u, v] = i... |
function [cI] = crop2(im)
% This function allows you to crop a square of the image of
% the hand according to the points drawn.
% Grayscale
I = rgb2gray(im);
% Find the 4 corners
[C1,C2,C3,C4] = searchCorner4(im);
% Put the points in order
% Sorting by x
G1 = [C1(1),C2(1),C3(1),C4(1)];
G2 = [C1(2),C2(2),C3(2),C4(2)... |
% MUTUAL INFORMATION DECAY
cd('/Users/carolinaditella/Dropbox/Social Preferences/Trial Selection - Study 1')
load ('SCORES.mat')
figure
plot(1:2934, ordered_scores+log(3),'k','LineWidth', 2); hold on
plot([100 100],[0 0.25],'Color',[160 160 160]/255); %, 'LineStyle','--'
title('Mutual information decay')
xlabel('Ran... |
clc;clear
%Variables
c01 = 10; c03 = 20; %known concentration variables
Q01 = 5; Q03 = 8; Q15 = 3; Q12 = 3; Q31 = 1; Q23 = 1; Q25 = 1; Q55 = 2; Q54 = 2; Q24 = 1; Q34 = 8; Q44 = 11; %known flow variables
syms c1 c2 c3 c4 c5 %symbolic variables for concentrations we're looking for
%Equations for each reactor
eq1 = Q... |
%% KalmanBaB.m
% Testing to see whether or not the filter will work real time
%% Live Run no Filters
cs.interv = 200;
input(1:cs.interv) = cs.balanced;
pos(1:cs.interv) = 0;
t(1:cs.interv) = 0;
[pos(1), ~, ~] = getPos(cs.a, cs.sensorPin1, cs.sensorPin2, cs.n_startup, cs.interp.interpTable);
cs.weightNew = 1;
cs.wei... |
% Find when the subject is standing in a sit-to-stand exercise based on:
% a. Force Threshold
% b. Right and Left Knee angles
% figure(1)
% plot(ModelOutputHelp.Var3{15,1}(:,end), 'r')
% plot(ModelOutputHelp.Var3{14,1}(:,end), 'b')
%Directions
x=1; y=2; z=3;
direction=x;
clf
figure(1)
hold on
plot(Mod... |
%% patch2EdgeIm
% Below is a demonstration of the features of the |patch2EdgeIm| function
%%
%
clear; close all; clc;
% Plot settings for the examples below
figColor='w';
figColorDef='white';
fontSize=10;
faceAlpha1=1;
faceAlpha2=0.3;
%% EXAMPLE 1: CONVERTING A PATCH TYPE SURFACE TO AN EDGE IMAGE WI... |
clc;
nsamples = 100000;
smpl = zeros(nsamples,2);
s = 0.9;
proppdf = @(x,y) unifpdf(y-x,-s, s);
proprnd = @(x) x + rand*2*s - s;
for i = 1:nsamples
pdf = @(x)(((x>=0)&(x<=1))* (x.^3));
smpl(i,1) = mhsample(rand,1,'pdf',pdf,'proprnd',proprnd,'proppdf',proppdf);
pdf = @(x) (((x>=0) & ... |
function [ vol ] = BF_3D( vol, radius, r_sig, d_sig )
% 3D Bilateral Filter
% Ref:
% C. Tomasi and R. Manduchi
% "Bilateral Filtering for Gray and Color Images"
% Proceedings of the 1998 IEEE International Conference on Computer Vision
%
% Inputs:
% vol: grayscale image to filter
% radius: filter radius
% r_sig: photom... |
W = train_lr;
load ('Y.mat');
row_=zeros(11,1);
row_(2)=150;
row_(3)=150;
row_(4)=150;
row_(5)=150;
row_(6)=150;
row_(7)=150;
row_(8)=150;
row_(9)=150;
row_(10)=150;
row_(11)=150;
[row1,col1]=size(Y);
T=zeros(row1,1);
r=1;
for i=1:10
for j=1:150
T(j+(i-1)*150,1)=i;
end
end
activ... |
function ind_set=find_Indcernability(table)
%=============================================================================================================================
% This function calculates the sets of 'B' indecernable example(or objects) where 'B' is a subset of Total attribute set 'A'
% (creates the... |
function [ tN,wN,hN ] = paso_RK23( f, tj, wj, hj, tol)
%in: tj ... tiempo viejo
% wj ... aprox. vieja
% hj ... paso sugerido
% tol ... tolerancia para error relativo
% f ... lado derecho de la EDO (como funcion)
%
%Out: tN ... tiempo despues de est... |
% creates and initializes various robot parameters
function robot = createRobot( initialGroundTruth, initialPoseError, encoderError, sensorError, distanceBetweenWheels, robotID )
% forces randn to produce different set of numbers...
% each time the randn is called
rng('shuffle');
% distance between the two w... |
% (a)
K = [1000*0.5*2, 0; 0, 1000*1*2];
% (b)
X = zeros(2, 12);
for i=0:1:11
X(1,i+1) = 0.01 * cos(2 * pi * i / 12);
X(2,i+1) = 0.01 * sin(2 * pi * i / 12);
end
F = K*X;
% (c)
figure();
quiver(X(1,:), X(2,:), 1000*X(1,:), 1000*X(2,:));
axis equal
hold on
quiver(X(1,:), X(2,:), F(1,:), F(2,:))
xlabel('x positi... |
function addRigboxPaths(savePaths)
%ADDRIGBOXPATHS Adds the required paths for using Rigbox
%
% Part of the Rigging toolbox
% TODO:
% - Paths to 'cortexlab' and 'cb-tools' were incorrect
% - Consider renaming above folder to something more informative
%
% 2014-01 CB
% 2017-02 MW Updated to work with 2016b
if nargi... |
% Copyright (c) 2017 Zi Wang
function [f, g] = evaluatePI(x, xx, yy, KernelMatrixInv, l, sigma, sigma0)
% This function computes the acquisition function value f and gradient g at
% the queried point x using PI given sampled function values maxes, and
% observations Xsamples (size T x d), Ysamples (size T x 1).
if nar... |
%% HMDGazeDirection
%
% Provides properties for the HMD gaze direction.
%
% hmd_gaze_direction = HMDGazeDirection(unit_vector,...
% validity)
%
%%
classdef HMDGazeDirection
properties (SetAccess = protected)
%% UnitVector
% Gets the 3D unit vector that describes the ga... |
function res = computeO1X2(A1, A, D1, D, O)
[o x] = size(O);
d = size(D1,1);
res = zeros(o, x);
for ind_o1 = 1:o
for ind_x2 = 1:x
for ind_d1 = 1:d
for ind_x1 = 1:x
res(ind_o1, ind_x2) = res(ind_o1, ind_x2) + ...
O(ind_o1, ind_x1) * A(ind_x2, ind_x1, ind_d1) * D1(ind_d1, ind_... |
function [MinPixVal, MaxPixVal]=max_min_pix_value(im_array);
% function [MinPixVal, MaxPixVal]=max_min_pix_value(im_array);
%
% function for calculating most often occuring Min and Max intensity values
% in images
% Perfromed by calculating means of pixels within the moving boxes of 5x5 pixel size throughout the
... |
function M0 = Consis_term(C,ne,np,p,Verts,Xe,he)
% Function calculant le terme de consistance pour l elasticite orthotrope
% 2D: M0
% SYNOPSIS: M0 = Consis_term(C,ne,np,p,Verts,Xe,he);
% INPUT : C : la matrice des deformations .ne : nbre de noeuds
% np : nbre de monomes .p :... |
function RTrec=NMES_ResultadoTrechos(R,vol,prot)
param={'ErroAbsMedio','EM','ErroMaxPos',...
'ErroMaxNeg','ErroSTD','ErroMax'};
clear tempV RMT
tempV=[];
for pr=1:length(prot) % para todos os protocolos
for pa=1:size(param,2) % para todos os parametros
for v=1:length(vol) % para todos os voluntarios
... |
function fcns = inputProcessingFcns(net)
% Copyright 2012-2015 The MathWorks, Inc.
fcns = {};
for i=1:net.numInputs
fcns = [fcns net.inputs{i}.processFcns];
end
fcns = unique(fcns);
|
function [backColor] = background(image)
hSize = size(image, 2);
vSize = size(image, 1);
colors = zeros(256, 256, 256);
for i = 1 : vSize
for j = 1 : hSize
c = int16(reshape(image(i, j, :), 1, 3)) + 1;
colors(c(1), c(2), c(3)) = colors(c(1), c(2), c(3)) + 1;... |
clear all;
N = 64;
fin=fopen('cam1_64_64.raw','r');
I=fread(fin,N*N,'uint8=>uint8');
ft_Z=reshape(I,N,N);
ft_Z=ft_Z';
im = ft_Z;
%subplot(1,2,1);
imshow(ft_Z);
for i = 1:64;
f = fft(im(i,:));
for k = 1:64;
f(k) = f(k) * exp((-j*pi*(k-1))/128);
if k == 1;
f(k) *= 0.5*((1/64)^0.5);
... |
function label = label_identify(person, file_vector)
%Creates label with 1 for person of interest and 0 for the rest
label = 1-2*cellfun('isempty', strfind(file_vector, person));
end |
N = 256;
x = randn(1,256);
X = fft(x);
result = conj(fliplr(X(2:end)))-X(2:end);
figure(1)
hold on
subplot(2,1,1);
stem(x)
title('Original Signal - Warmup a')
xlabel('Time (sample)')
subplot(2,1,2);
stem(result);
title('FFT of Signal - Warmup a')
xlabel('Sample (value of k)')
Y=(randn(1,256)+1i*randn(1,256))/sqrt(2)... |
function [centers, radii] = initialize_model_centers(points, num_centers)
P = zeros(length(points), 3);
for i = 1:length(points)
P(i, :) = points{i}';
end
%% Initialize
centers = cell(num_centers, 1);
radii = cell(num_centers, 1);
figure;
subplot(1, 2, 1); hold on; axis equal; %xlim([0, 1]); ylim([0, 1]);
scatte... |
function [dV,dF,b] = lazy_cage(V,F,m,varargin)
% LAZY_CAGE Build a cage that strictly encloses an input triangle soup. This
% is lazy because it's reducing the problem to a 1D search rather than an
% optimization like "progressive hulls" or "nested cages". Also it was easy to
% implement with existing tools.
... |
function dy = AND_gate_ode(t,y)
a=1;b=2;c=3;ANDgate_A_C__c=4;ANDgate_B_C__c=5;
ANDthd_C=6;
k_app=2*10^5;
k_app_thd=10^6;
dy=zeros(6,1);
dy(a)=-k_app*y(a)*y(ANDgate_A_C__c);
dy(b)=-k_app*y(b)*y(ANDgate_B_C__c);
dy(c)=-k_app_thd*y(c)*y(ANDthd_C)+k_app*y(a)*y(ANDgate_A_C__c)+k_app*y(b)*y(ANDgate_B_C__c);
dy(ANDgate_A_C... |
%in barnamei baraye Gamma corection dar tasvir ast,BARAYE
%EJRAYE BARNAME HAME BARNAME RA ENTEKHAB KARDE(Ctrl+A & Ctrl+C)VA DAR Command
%Window MATLAB PASTE KONID,SEPAS YEK ADAD BARAYE ZARIB Gamma BEDAHID.
clc;
clear all;
close all;
%tasvire vorudi
IN_IMG = imread('1.1.tif');
%IN_IMG = imread('1.2.tif');
%ijade zarib... |
function metadata = get_xml_content(xml_file,metadata_template)
% GET_XML_CONTENT - Load sound metadata from XML file.
%
% Usage: metadata = get_xml_content(xml_file,metadata_template)
%
% Define maximum number of elements in the temporal evolution matrix
MAX_EVO_ELEMENTS = 3700;
% Check input args
if ~exist(xml_f... |
function refocused_Im = refocus(LF, slope)
[U, V, row, col, ~] = size(LF);
M = U * V;
LF_Image = zeros(M, row, col, 3);
for u = 1 : U
for v = 1 : V
k = (u-1)*V + v;
LF_Image(k, :, :, :) = squeeze(LF(u, v, :, :, :));
end
end
clear LF
shifted_Imr = zeros(M, row, col);
shifted_Img ... |
% Figure 3.19 Feedback Control of Dynamic Systems, 5e
% Franklin, Powell, Emami
%script to generate Fig. 3.19
% fig3_19.m
clf;
num=[2 1]; % form transfer function
den=[1 2 5];
sys=tf(num,den); % form system
t=0:.1:6; % define time vector
y=impulse(sys,t); %compute impulse... |
%{
this is my code applied to Stathis's Experiment structures after I updated
them using the TSupdateStructure function so that the current (10/23/2019)
TSlib code works with them. For expository reasons, the numbering of the
groups in the MS differs from the numbering in this script: Group 4 from
what was originally ... |
% Ce script Matlab automatise la production de resultats
% lorsqu'on doit faire une serie de simulations en
% variant un des parametres d'entree.
%
% Il utilise les arguments du programme (voir ConfigFile.h)
% pour remplacer la valeur d'un parametre du fichier d'input
% par la valeur scannee.
%
%% Parametres %%
%%%%%%... |
addpath('../control')
addpath('..')
addpath('../plotting')
global params;
params.Kp_h = 10;
params.Kd_h = 5000;
params.Ki_h = 5;
g = 9.8;
m = 1;
R = 0.1;
x = 0;
y = 0;
v_y = 0;
a_y = 0;
h_desired = 2;
lift = 0;
dt = 0.02;
y_last = 0;
lift = 0;
t = 0:dt:20;
y_a = zeros(size(t,2));
tic
for i = 1 : size(t,2)
lift = h_pid... |
function wipe
close all
clear
clc
end
|
% idfig06 -- Ideal Figure 06: Ideal Damping in Wavelet Domain
%
% The ideal reconstructions of figure 5 depicted in
% the wavelet domain. The reconstructions have a sparse
% wavelet transform.
%
global whblocks whbumps whheavi whDoppler
global L
%
clf; claxis
%
subplot(221)
IMJPlotWaveCoeff(whblocks,L,0.05);
... |
%Despiking_UFF
clear all;close all;
letras= 13; %MODIFICAR
%abertura do arquivo contendo o nome dos arquivos de CTD com extensão
fid=fopen('estaçoes.txt','r');
name=fscanf(fid,'%s',[letras inf]);
name=name';
fclose(fid5);fclose(fid6);
|
function Lvv = Lvvtilde(image, shape)
% Makes sure the shape is set to 'same'
if (nargin < 2)
shape = 'same';
end
% Difference approximations of first order derivative
dx = padarray([1/2, 0, -1/2], [2, 1], 0, 'both');
dy = padarray([1/2, 0, -1/2]', [1, 2], 0, 'both');
% Difference approximations of second ord... |
format long;
%{
%
load('EE_max of PRO in ROPRO (Phi=0.2) calculated in 28-Aug-2014.mat');
figure;plot(y0,100*(SES_d_min-SES_I_min)./w_ro(1:length(y0)));
load('EE_max of PRO in ROPRO (Phi=0.5) calculated in 28-Aug-2014.mat');
figure;plot(y0,100*(SES_d_min-SES_I_min)./w_ro(1:length(y0)));
load('EE_max of PRO in ROPRO (Ph... |
a = 5;
b = 7;
c = 8;
result = a + b + c;
disp(['Hasil penjumlahan = ' num2str(result)]);
s = input('Masukkan nilai sisi persegi : ');
luas = s*s;
disp(['Luas = ' num2str(luas)]);
N = input('Masukkan bilangan bulat : ');
if(N>0)
disp('Positif');
elseif(N<0)
disp('Negatif');
else
disp('Nol');
end
%loop s... |
% This script runs simulations of the alternative ideal observed models. In
% particular we constrast the repeating pattern detector to various Markov
% chains of different orders. The simulations are run on sequences that
% were presented to the subjects. We considered several alternatives.
%
% NORMATIVE SINGLE-SYSTEM... |
function price = HestonPriceCarrMadan(PutCall,kappa,theta,sigma,...
rho,v0,S0,K,T,r,q,M,N,CF,intMethod)
% Carr-Madan form
% M: upper bound; N: number of points in the grid.
dx = M/N;
if strcmp(intMethod,'TR')
x = dx*(0:N-1); % N values.
x(1) = 1e-22;
% weights: trapezoidal. Maybe I can use the function... |
%% KSVD implementation for Elad 2006 vDictionary Recovery
function [Count] = K_SVD_DR(Y1,D_,D,noIt,s)
% D_ = Dummy Dictionary
% D = Original Dictionary ; Ground Truth
[n,K] = size(D_);
D_ = D_*diag(1./sqrt(sum(D_.*D_)));
% D_ = D_.*repmat(sign(D_(1,:)),size(D_,1),1); % multiply in the sign of the first element.
Count ... |
function DialogAnalysis(~,~,object)
[result,connect,label]=analyze(object);
N=numel(result);
if N==0
h=errordlg('No connections have been defined','No connections','modal');
uiwait(h);
return
end
data=cell(N,6);
for n=1:N
for k=1:4;
data{n,k}=sprintf('%d',connect(n,1));
end
dat... |
function display_point_cloud(database,text)
if ~exist('text','var')
text = '';
end
%-- Extract points that belong to each class
X_train_c0 = database.X_train(:,database.Y_train==0);
X_train_c1 = database.X_train(:,database.Y_train==1);
%-- Display them
figure; plot(X_train_c0(... |
clear all
close all
clc
%% KALMANF
% Define the system as a constant of 0 deg:
clear s
s.x = 0;
s.A = 1;
% Define the brain to measure the location itself:
s.H = 1;
% Define a measurement error / sensory noise (stdev) of 15 deg:
s.R = 5^2; % variance, hence stdev^2
% Do not define any system input (co... |
function p = hex_to_int32(h)
%HEX_TO_INT32 Convert hexadecimal string to int32 number.
%
% HEX_TO_INT32(H) converts the hexadecimal string H and returns the
% corresponding int32 numbers. Each row in H, representing one output value,
% must only contain characters in the set '0123456789abcdefABCDEF'.
%
% For e... |
function display_bb_video(dataset, i, boxes_frames, varargin)
ip = inputParser;
ip.addParameter('sub_class', {} , @iscell);
ip.addParameter('score_thres', 0.1, @isscalar);
ip.parse(varargin{:});
opts = ip.Results;
% Display human_bb of ith video in dataset
%
% i index
% show_gt whether to display g
op... |
% American Style option (as stepsize == 1 day everyting ok)
%exerciceFunction_ = @(actualDate, maturityDate, stepSize) true(size(actualDate));
exerciceFunction_ = @(datetimeArray, maturityDatetime, stepSize) repmat([zeros(1,size(datetimeArray,2)-2),1,1],size(datetimeArray,1),1);
% NO barrier
barrier_ = @(subyacentPr... |
clear
close all
% set ID variables and file paths
addpath('utilities')
project = '20190613_eve1spot';
% project = '20190613_eveGtMut_eS1';
dataPath = ['../dat/' project '/'];
figPath = ['../fig/' project '/'];
mkdir(figPath);
% load
load([dataPath 'nucleus_struct.mat'])
% extract useful vectors
ap_vec = [nucleus_str... |
%Gustavo Franco Reynoso
%Sept 6th, 2017
% Execution Main Script
%% This script will produce butcher trees of the desired order and the formulas that accompany it.
% The arguments are [p] = Desired order
% The outputs are [btrees, names] = the butcher trees and the names that
% correspond to each
close all; clear all;
... |
function fitnessVal=fitness(x)
% fitnessVal=sin(10*pi*x)./x;
fitnessVal=-1*sin(10*pi*x)./x;
end |
function result = check_me(me)
%the size affordable for inverse
if(me < 1000)
result = true;
else
result = false;
end
end |
function [obj,position2enforce,velocity2enforce] = periodicity_constraints(obj,~, ~, ~ )
% x0 are the initial conditions
% xPlus are the values after impact
% NB = rbm.model.NB;
%
% q_0 = x0(1:NB);
% qd_0 = x0(NB+1:2*NB);
%
% q_plus = xPlus(1:NB);
% qd_plus = xPlus(NB+1:2*NB);
%tol_per = 1E-12;
position2enforce ... |
function out = cat_cellornum(dim, varargin)
%
% out = cat_cellornum(dim, varargin)
%
% Concat each input along dimension. If all are numeric, output is numeric. If any is a cell, convert
% numeric to cell array (with each number in a cell) and return a cell. Output length is always the sum of
% input lengths.
% Us... |
%% Intro
% This script runs the coherentContrast experiment
% This revision is for March 2015, data collection for Dan's FYP project.
%% Retinotopy + MTLoc
% The 16ch head coil should be installed and you should have already
% collected an in-plane anatomy.
% % Retinotopy WEDGES 1:
% mglRetinotopy('displayName=fMR... |
function p= GetVectorPlan (plan, obs)
% premier coin du plan
p0 = plan.Sommets(:,1);
% vecteurs orthogonaux
v1 = plan.Sommets(:,2) - p0;
v2 = plan.Sommets(:,4) - p0;
u1 = v1 / norm(v1);
u2 = v2 / norm(v2);
% Verification de la validite des vecteurs orthogonaux
if cross(cro... |
function durTensors = estimateDurTensors(train, ...
iter_ind, ...
numObs,...
skip, ...
span, ...
obsDim, ...
... |
function hints = dataHints(net,data,hints)
% Copyright 2012 The MathWorks, Inc.
% Simulation Info
hints.doDelayedInputs = true; % TODO
hints.doProcessInputs = false; % TODO
%hints.doDelayedInputs = ~isfield(data,'Pd') || (sum(size(data.Pd))==0);
%hints.doProcessInputs = (~isfield(data,'Pc') || (sum(size(data.Pc))==0... |
Screen('Preference', 'SkipSyncTests', 1); % 跳过同步性测试
% 清理窗口和变量
sca;
close all;
clearvars;
answer = inputdlg({'序号'},'信息',1,{'0'}); % 记录被试编号
% 基本设置
PsychDefaultSetup(2);
screens = Screen('Screens');
screenNumber = max(screens);
white = WhiteIndex(screenNumber);
black = BlackIndex(screenNumber);
[window, ... |
% object=add(object,bound);
% object=add(object,bound1,bound2,...);
%
% object=add(object); %
function object=add(object,varargin)
% handle input
if nargin==1 % attempt automatic add
allowed=object.Allowed;
assert(numel(allowed)==1,'ERROR: automatic add not possible here');
name=sprintf('SMASH.ROI.%s... |
function [beta] = beta_time(sigma_in,sigma_out,L)
beta = sqrt((sigma_out^2 - sigma_in^2)*sigma_in^2)/ L;
end |
%% Introduction to Programming and Data Processing
% module 002
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%% Exercise 2C
clear all; close all;
v1 = [1:5]
v2 = [3:7]
v3 = ones(1,4)
%% dot product
dot(v1,v2)
v1*v2'
%% elememt wise
v1.*v2
%% sin function
sin(v1)
%% length of
length(v1)
%% dot product
v1.*v3... |
function spike = GenerateSessionSpikeTrains(groupname,gdf,muaCluster)
%GenerateSessionSpikeTrains Creates session data.
% spike = GenerateSessionSpikeTrains(GROUPNAME,GDF,MUACLUSTER)
% creates a spike structure that stores all the spike trains
% by trials and clusters. This function opens a .GDF file (named
% GROUPNAME... |
% Copyright (C) 2001-2009 Nicolas Guilbert
%%
%% 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
%% the Free Software Foundation; either version 2 of the License, or
%% (at your option) any later version.
%%
%% This program is ... |
% partition data set
%
% requires 'sparse sub access' by Bruno Luong:
% http://www.mathworks.com/matlabcentral/fileexchange/23488-sparse-sub-access
%
% inputs:
% ratings - the entire rating matrix (N*M, 0 for missing value, ratings in 1,2,...,L)
% minrpu - minimum number of ratings per user (filter the incapable user... |
function[Starts Goals Decoded Vec_l FirstError LastError Steps] = VectorCellModel(GC_cpm,DrawFig)
%% Rate-coded vector cell model of vector navigation with grid cells
% Daniel Bush, UCL Institute of Cognitive Neuroscience
% Reference: Using Grid Cells for Navigation (2015) Neuron (in press)
% Contact: drdanielbush@g... |
function Y = passaAlta()
x = imread('Penguins.jpg');
x = double(rgb2gray(x))/255;
h = ones(25,25)/(25*25);
y = conv2(x,h,'same');
figure(1);
imshow(x);
figure(2);
imshow(y);
|
function y = applanet_func(x)
% heliocentric distance function
% input
% x = simulation time argument (days)
% output
% y = heliocentric distance (kilometers)
% Orbital Mechanics with MATLAB
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
global tisaved jdtdbi drsaved iap_flg iplanet1
% compute planet stat... |
%% CLASS HEADER INFORMATION
%By: QuocBao Vu
%Created: Dec, 28, 2012
%Modified: Dec. 28, 2012
%Version: 1
%
%This class is a dialog window for the dicom reslicing program. It will
%notify when the gui is processing the data and tell the user to wait for
%the process to be finish. Once the process is finish the dialog wi... |
%This function initializes the position of agents in the search space, randomly.
function [X]=initialization(dim,N,up,down)
if size(up,1)==1
X=rand(dim,N).*(up-down)+down;
end
if size(up,1)>1
for i=1:dim
high=up(i);
low=down(i);
X(i,:)=rand(1,N).*[0.5 0.9 1 100 4];
end
end |
function [hypo_list, score_list, bbox_list, recog_result] = ...
sc_detector_on_edge(I_edge,codebook,para,verbose)
para_sc = para{1};
para_fea= para{2};
para_vote=para{3};
voter_filter = para_vote.voter_filter;
win_thresh = [];
recog_result= [];
img = I_edge(1).edge;
nb_scale = length(I_edge);
ratio ... |
Im = imread('sphere5.jpg');
for i = 1:size(Im , 1)
for j = 1:size(Im , 2)
Im_gray(i,j) = 0.3 * Im (i , j , 1) + 0.3 * Im (i , j , 2) + 0.3 * Im (i , j , 3);
end
end
for i = 1:size(Im_gray,1)
for j = 1:size(Im_gray,2)
if Im_gray(i,j) > 100
Im_bw(i,j) = 1;
else
... |
function [alpha, count] = mb_wolfeLineSearch(objFunc,objFuncValue,x,dx,dir)
alphaMax = 1;
alpha = alphaMax;
fac = 1/2;
c_1 = 1e-1;
c_2 = 2e-1;
count = 0;
while objFunc(x+alpha*dir) > objFuncValue + c_1*alpha*dir'*dx && mb_numDiff(objFunc, x+alpha*dir)'*dir < c_2*dx'*dir
count... |
%% Ideal voltage source with trapezium pulse form
% U0 - maximum value [V],
% t1, t2, t3 - rise time, on time and fall time of the pulse [s],
% t - current time [s]
function [out_vol] = Voltage(U0, t1, t2, t3, t)
out_vol = ((t>=0) & (t<t1)).*U0.*t/t1 + ((t>=t1) & (t<(t1+t2))).*U0 ...
+ ((t>=t1+t2) & (t... |
% *************************************************************************
% File Name : plotXYAxis.m
% Author : Dingjiang Zhou
% Boston University, Boston, 02215
% Create Time : some day in 2012
% Last Modified :
% Purpose : plot the x, y axis in a plot
%
% INPUTS... |
% roi: [x,y,w,h];
function [bestPlane,bestPlanePoints] = fitUvdPlaneRANSAC(points,roi,trials)
global intrinsics baseline;
planePoints = zeros(3,3);
numSupportersMax = 0;
imgSize = size(points);
for i=1:trials
while(true)
p=1;
while(p <= 3)
u=0;
v=0;
while (u < roi(1) || u > roi(1)+roi(3))
... |
function Ke = stiff(xi,xvec,d1,d2,L,E)
% This function calculate integrand of element stiffness matrix for an
% element (xvec) at one gauss point (xi)
% =======================================================================
N = [-xi*(1-xi)/2, 1-xi^2, (xi+1)*xi/2];
xe = N*xvec;
tht = (d2-d1)/L;
dx = d1 + tht*xe;
A =... |
function [ vals ] = solveRLC2D( points, run_real )
% Solve for grid values at nodes in points. 2D.
%% TODO:
% obscure bug where grid tries to refine the same point more than once -
% maybe an issue with precision in writing points to csv? or is this a
% tasmanian bug?
%% Load parameters and database file bef... |
function [phi]=superbee(r)
% Gives the Superbee limiter functional values
%
% [phi]=superbee(r)
%
% phi: the Superbee limiter functional values
% r: Sweby's r factor
% Calculation
phi=max(0,max(min(2*r,1),min(r,2)));
end
|
function pf = make_planform( varargin )
% MAKE_PLANFORM creates a planform, a sum of 4 or 6 sine wave gratings.
% pf : A data structure for the planform with fields
%
% img_pix: image size in pixels
% X: array of X values [img_pix, img_pix]
% ... |
function [bestPartition EMSteps tFinal] = greedy( data, maxClusters, maxIterations, maxKMSIter )
%GREEDY greedy algorithm based on PR03_Zhang
%
%Parameters:
%data : dataset to be clustered NxM where N is the number of objects and M the number of features
%maxClusters : maximum number of clusters to e... |
function rho = dens_wright_eos(T, S, p)
% Equation of state for sea water given by Wright, 1997, J. Atmos. Ocean. Tech., 14, 735-740.
% Units: T[degC],S[PSU],p[Pa]
% Returns density [kg m-3]
a0 = 7.057924e-4; a1 = 3.480336e-7; a2 = -1.112733e-7 ;
b0 = 5.790749e8; b1 = 3.516535e6; b2 = -4.002714e4; b3 = 2.084... |
% Example 6_4 - Blandford p297
% Creates a Butterworth filter such that
% fs = 44,100 Hz
% pass band 0 - 4000 Hz; stopband 8000 Hz to fs/2
% pass band ripple = .01; stopband ripple = .03
fs = 44100;
fs2 = fs/2;
fpass = 4000; Rp = .01; RpDB = -20*log10(1-Rp);
fstop = 8000; Rs = .03; RsDB = -20*log10(Rs);
[N fc] = butt... |
load filtradoegm
fs = 1e3; ts = 1/fs;
N = length(x1);
t = ts*(0:N-1);
figure(1), plot(t,x1); axis tight,
xlabel('t (s)'), ylabel('mV');
X1 = abs(fftshift(fft(x1)));
f=linspace(-fs/2,fs/2,length(X1));
figure(2), plot(f,X1), axis tight,
xlabel('f (Hz)'), ylabel('X(f)');
% Filter at 300 Hz
h1 = fir1(64+1,2*300/fs);
[H1,f1... |
function plotRaceTracing(obj)
%Plot all trees separately with color corresponding to the
%relative time between start and end of all tree annotations.
% Author: Benedikt Staffler <benedikt.staffler@brain.mpg.de>
annTimes = cellfun(@(x)x(:,8),obj.nodesNumDataAll, ...
'UniformOutput',false);
%relative to first node
... |
%% translate
% Translates the cell Network
%%
%% Syntax
% N = translate(N,T)
%
%% Description
% Multiplies the vertices by a fixed number.
%
%% Inputs
% * N - a cellNetwork object
% * T - a translation vector
%
%% Outputs
% * N - a new cellNetwork object
%
%% Examples
% >> N = translate(N,[1 2]);
% translate the ... |
% Filename: rsr_simpleCollection.m
% Author: Samuel Acuņa
% Date: 03 Oct 2016
% About: This m-file will run one collection of J Zunker's RSR
% collection protocol.
% simplifying assumptions
% 1. only one level of SR
% 2. only one stimulus location of RSR
%
% Procedure
%
% 1. find sensory threshold
%
%... |
clear
clc
%%Nyquist plot
inphaseA=load("inphase_A.mat");
inphaseA=table2array(inphaseA.vibrationlabS2);
inphaseD=load("inphase_D.mat");
inphaseD=table2array(inphaseD.vibrationlabS2);
inphaseV=load("inphase_V.mat");
inphaseV=table2array(inphaseV.vibrationlabS2);
outofphaseA=load("outofphase_A.mat");
outofphaseA=table2a... |
%declaracao de variaveis internas
[h,j]=size(code); % verifica tamanho do codigo
x=0; % linha inicial do dicionario
y=2; % colunas do dicionario (usado para verificar se e necessario aumentar)
dictam=2; % colunas do dicionario
dic2=0; % dicionario zerado
%Reconstrucao do dicionario
for i=1:h %realiza varredur... |
function out = forward_DSC(uniqueNodes, modules, mods_per_all_nodes, qmod, qcon, pfav)
import java.util.*
import java.lang.*
%% Randomly connect two proteins in each module
specificConnections = cell(1,2);
count = 1;
for t = 1:size(modules,1)
MOI = modules(t,2:end);
MOI = MOI(~cellfun('isempty', MOI));
rand... |
function [X,Y,Z]=cylinder1(P1,P2,R,N)
%
% P1 - center of the first base of cylinder
% P2 - center of the second base of cylinder
% R - radius of cylinder
% N - number of sectors of the base of cylinder
if nargin<4
N=100;
end
P1=P1(:);
P2=P2(:);
P12=P2-P1;
A=[0 0 1;1 0 0;0 1 0]';
B=[];
z1=P12/norm(P1... |
clc;
clear all;
close all;
r=1;
T=0.5;
mp=5;
ts=1.5;
a=-1.95;
b=2.28;
p0=a+b*1i;
p1=0;
p2=-1/T;
anx=angle(p0-p1)+angle(p0-p2)-pi;
anp0=angle(p0);
anzc=anx/2+anp0/2;
anpc=anp0/2-anx/2;
zc=a-b/tan(anzc);
pc=a-b/tan(anpc);
kc=1/(abs((p0-zc)/(p0-pc))*abs(1/p0/(T*p0+1)));
t=0:0.01:5;
kc=3;
s=tf('s');... |
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