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% Command Window
% **************
% >> cj = props.examples.CandyJar
%
% cj =
%
% CandyJar with properties:
%
% MaximumAmount: 0
% CandyBrand: ''
% CurrentAmount: 0
%
% >> cj.CandyBrand = 'Props Pops';
% >> cj.MaximumAmount = 25;
% >> cj.CurrentAmount = cj.MaximumAmount;
% >> cj.... |
% Barcode sampling
% This script loads in the barcode sampling data which contains raw numbers
% of barcodes found in samples at three different time points after initial
% barcoding:
%OGTP1 = 48h, 3% population which was 19.8x10^6 cells
%OGTP2 = 96h, 3% population which was 75.9x10^6 cells
%OGTP3 = 144h, 3% populati... |
% bitReduction.m
% Dan Hirlinger
% 1/27/21
% synthesize signal
Fs = 48000; Ts = 1/Fs;
f = 2500;
t = [0:Ts:1]';
x = sin(2*pi*f*t);
N = length(x);
y = zeros(N,1);
% make noise to be added to signal
% for dithering
% brings down all the harmonics in THD
dither = 0.001*randn(N,1);
x = x + dither;
% alter scale from [-1... |
function varargout = plotyyP(input)
% input is a struct, with the following mandatory fields:
% x,y1,y2,y1lim,y2lim
% optional fields:
% xlim,xlabel,y1_label,y2_label,xtickpos,Nticks_x,Nticks_y,color_left,color_right,lwidth,fntsz,fnt,Nround
% 'x' has to be of the size Nx1, and y1 has to be NxM, y2 has to be Nx... |
function result = mycontains(str, pattern)
% CONTAINS For pre-2016 matlab
try
result = contains(str, pattern);
catch
result = ~isempty(strfind(str, pattern)); %#ok<STREMP>
end
end |
function angle_=constrain(angle)
if angle > pi
angle_ = angle - 2*pi;
elseif angle < -pi
angle_ = angle + 2*pi;
else
angle_ = angle;
end
end |
% 2019-09-13
% Signals and Systems - Introduction to Discrete Time Sampling
% Superposition principle
% System parameters
k = 1.5; % Spring constant
b = 0.5; % Damper constant
x_0 = 0.5; % Initial position
F = 3; % Forcees F = F1 + F2
a = 2;
% Simulation setup
t_max= 5;
T_s = 0.01; % Sampling time
n_max = t_max /... |
function [] = graficarModelo(modelo)
%Respuesta escalar
step(modelo)
title("Respuesta escalar del modelo")
grid on
xlabel('Tiempo[s]')
ylabel('Volumen')
figure()
%Respuesta Impulso
impulse(modelo)
title("Respuesta impulso del modelo")
grid on
xlabel('Tiempo[s]')
ylabel('Volumen')
figure()
%Respuesta Funcion U
t = li... |
function obj = require_labels(obj, within, values)
% REQUIRE_LABELS -- Remove elements that do not contain labels.
%
% obj = ... require_labels(obj, 'days', obj('outcomes')) will, for each
% 'days', check if all 'outcomes' are present. If they are not, that
% day will be removed from the output 'obj'.
%
... |
% Local Feature Stencil Code
% CS 4495 / 6476: Computer Vision, Georgia Tech
% Written by James Hays
% 'features1' and 'features2' are the n x feature dimensionality features
% from the two images.
% If you want to include geometric verification in this stage, you can add
% the x and y locations of the featur... |
function varargout = Generation(varargin)
% GENERATION MATLAB code for Generation.fig
% GENERATION, by itself, creates a new GENERATION or raises the existing
% singleton*.
%
% H = GENERATION returns the handle to a new GENERATION or the handle to
% the existing singleton*.
%
% GENERATION('CALL... |
function [residual, g1, g2, g3] = RBC_DTT11_rep_dynamic(y, x, params, steady_state, it_)
%
% Status : Computes dynamic model for Dynare
%
% Inputs :
% y [#dynamic variables by 1] double vector of endogenous variables in the order stored
% in M_.lead_lag_incid... |
function [bestH, numOkMatches_all, numMatches_all, bestScale]= sift_mosaic_fast_MultiModal(im1, im2, saveDir,saveFlag,f1,d1,f2,d2,TransType,rotLimit,featureType)
% Matches two images using given precalculated SIFT features
%Input:
%im1 -- Reference Image
%im2 -- Moving Image to be matched
%saveMatchesName -- String nam... |
% this is a batch to call disc_kinetics3 as a fuction of Ttag
clear; close all
% tagging times
tags = [1 1.2 1.4 3.5]
% post inversion delay
delays = [0.05 0.1 0.15];
ASLbuffer = [];
ASLbase=[];
time = 1:50;
legstr = cell(size(tags));
for count=1:max(size(tags))
Ttag = tags(count)
% del = delays(count);
... |
function kc_format_figure(xlen, ylen, marginsize)
set(gcf, 'PaperUnits', 'centimeter');
set(gcf, 'PaperSize', [xlen+2*marginsize ylen+2*marginsize]);
set(gcf, 'PaperPosition', [marginsize, marginsize, xlen, ylen]); |
function [A_div,A_omegamod,b_bccoeff] = phasor_model_form(K,Ss,xb,yb,zb,bdry_types,varargin)
% phasor_model_form: Low-level function which assembles the linear algebra
% problem for the steady-periodic groundwater flow equation in 3D on a
% finite-difference-type grid with a rectangular prism as boundary.
% Bound... |
% for proliferation
function [Culture,Prol,HP]=proliferation(Culture,Prol,HP,r_n,r_t,cell_cycle)
ind=find(Prol>cell_cycle);
sz_c=size(Culture);
ind=ind(randperm(length(ind)));
for k=1:length(ind)
[temp_i,temp_j]=ind2sub(sz_c,ind(k));
if Culture(temp_i,temp_j)<0
r_sp... |
function coils_new = transform_coil(coils, m_affine, transl, coords, vis)
% Transform coil to position and orientation given by a navigation system
%
% To match transformations from Nexstim navigation to world space of mesh
% coordinates generated with SimNIBS, the coil should have the following
% initial allignment... |
% DEMO for testing MEDA on Office+Caltech10 datasets
str_domains = {'Caltech10', 'amazon', 'webcam', 'dslr'};
list_acc = [];
mode_new = 'jda';
for i = 1 : 4
for j = 1 : 4
if i == j
continue;
end
if i~= 4
continue;
end
if j ~= 3
continue;
... |
function FINetwork(folderWeights,networkpath,name)
repopath = '/Users/jonathangornet/Documents/GitHub/SOSpikingModel/';
addpath(genpath(repopath));
repopath = '/Users/jonathangornet/Documents/GitHub/buzcode';
addpath(genpath(repopath));
%%
%folderWeights = ["001","01","1","10"];
Ivals = linspace(0,400,21);
%%
clear... |
%SCRIPT TO PERFORM INNER EM-LOOP FOR ESTIMATION OF
%CALCIUM MODELS M ON A SUBSET OF DATA
if( exist('setFQ') ~=1 ) setFQ=1; end % frame skipping
if( exist('setH') ~=1 ) setH=1; end % spike-history dimensions
if( exist('rate_b') == 1 ) rate_b=5; end
N_spk=100; % spikes t... |
function [matrix] = reduction_2(ma1)
ma2 = zeros(4,11);
%first col
[ma2(1,2),ma2(1,1)] = comp2_2(ma1(1,5),ma1(2,4));
ma2(2,1) = ma1(3,3);
ma2(3,1) = ma1(4,2);
ma2(4,1) = ma1(5,1);
%2 col
[ma2(1,3),ma2(2,2)] = comp4_2(ma1(1,6),ma1(2,5),ma1(3,4),ma1(4,3));
ma2(3,2) = ma1(5,2);
ma2(4,2) = ma1(6,1);
%3rd col
... |
function [M,behavior,stim] = GetTimeIndexedData(hfig,isAllCells) %#ok<INUSD>
%{
% naming convention used:
M = GetTimeIndexedData(hfig);
M_0 = GetTimeIndexedData(hfig,'isAllCells');
%}
isZscore = getappdata(hfig,'isZscore');
% main data input
if ~isZscore,
cellResp = getappdata(hfig,'CellResp');
cellRespAvr = g... |
clc; clear all
close all
V = 10;
A = 1;
b = [.001,.01,.1,1,10];
%b=.001
[X,Y] = meshgrid(-.02:.0005:.02);
theta1 = atan2(Y,X+b(1));
theta2 = atan2(Y,X-b(1));
f = V*Y+(A/(2*pi))*(atan2(Y,(X+b(1))))-(A/(2*pi))*(atan2(Y,(X-b(1))));
figure(1)
contour(X,Y,f,25,'b');
hold on
contour(X,Y,f,[0,0],'r')
%b=.01
[X,Y] = meshgri... |
function installPath( path )
addpath(path);
fprintf('addPath: %s\n', path) % 注意输出格式前须有%符号，
end
|
function W = getSpikeWaveformsFromOps(ops, sp, varargin)
% PLOT WAVEFORMS
% Inputs:
% ops@struct - ops struct
% sp@struct - spikes struct
% Optional Arguments (as pairs)
% 'numWaveforms' - default 500
% 'postSpikeBuffer' - number of samples after spike
% 'preSpikeBuffer' - number of samples befor... |
%%%%%%%%%%%%%%%%%%%%
% 対象：媒質case66
% 設定音速：1580[m/s]＝正解音速
% 焦点水平位置：y=0~4.8mm
% 境界位置：強度分布により推定
% IMCL割合を0 %に固定する．
% 波面遅延プロファイルにより音速推定
% 素子間受信波時間差は解析信号の正規化相互相関(FFTアプローチ)を用いる
%%%%%%%%%%%%%%%%%%%%
%% 初期設定（共通）
clear
dst_path = sprintf('H:/result/2018_12_06_IMCL_direct_estimation/case66/2018_12_12_flow');
if ~exist(dst_path,... |
function out = todatetime(x, zonePolicy)
% Convert values to datetime array
%
% out = todatetime(x)
% out = todatetime(x, zonePolicy)
%
% TODATETIME converts an input array to a datetime array. It is an alternative
% to the datetime constructor, and is provided because MPT thinks Matlab got the
% datetime constructor b... |
clear all;
[original_audio, Fs, nbits] = wavread('sound_test1.wav');
%----------------------------------------------------------------------------
x = original_audio;
p = 10;
x_corr = xcorr(x,p,'unbiased');
x_corr = x_corr(p+1:2*p+1);
x_rhs = x_corr(2:p+1);
%x_rhs = x_rhs';
%x_matrix = [x_corr(1) x_corr(2) x_corr(3) x_... |
function [result, fnc_compute_brightness, fnc_compute_chromaticity, fnc_gamma_correct, fnc_reconstruct] = evc_gamma_correction(input, gamma, saturate)
% Diese Funktion ist die Hauptfunktion.
% Sie ruft in der richtigen Reihenfolge die zu implementierenden Funktionen auf.
% ACHTUNG: Diese Funktion darf nicht verändert w... |
function next_gen = select(p, groups)
% 种群个体筛选（轮盘赌），保留每次产生的随机数落入累计概率区间对应的个体
[num_ind, num_features] = size(groups);
temp = rand(num_ind, 1);
next_gen = zeros(num_ind, num_features);
for k = 1 : num_ind
for m = 1 : num_ind
if temp(k) <= p(m)
next_gen(k, :) = gr... |
function [J, grad] = costFunctionReg(theta, X, y, lambda)
% Initialize some useful values
m = length(y); % number of training examples
J = 0;
grad = zeros(size(theta));
J=-1/m*(y'*log(sigmoid(X*theta))+(1-y)'*log(1-sigmoid(X*theta)))+lambda/(2*m)*sum(theta(:,1).^2-theta(1)^2);
grad(1)=X(:,1)'*(sigmoid(X*theta)-y)/m;... |
%add selected shots to the dataset
%For 18010
% with_trapped_WLAN=[2 16 18 20 21 29 30 31 32 33 35:39 44 45 46 49 56 62 66 71 99];
% with_trapped_WLAN=[2:100];
% with_trapped_WLAN=[2:220];
with_trapped_WLAN=[5 18 23 24 37]
% camera='CMOS_WLAN';
camera='CMOS_FAR';
%add the special shots to the dataset
% special_struc_i... |
# Distance to nearest prime
for n = 1:20
d = 0;
while (true)
if (isprime(n+d) || isprime(n-d))
break;
end
d = d+1;
end
fprintf('The distance from %i to the nearest prime is %i\n', n, d);
S(n) = d;
end
display(S); |
%% Sistema detecció imatges amb histogrames de color (V1)
%Autors: Alba Pérez i Marc Ortiz.
%Data: 07/04/2018.
%Assignatura: Visió per Computador.
%VERSIÓ 6:
%Combinar diferents estratègies:
%1-Detecció d'equips directes: Barcelona i chelsea.
%2-Detecció equips per dos passos: Liverpool + PSV + ACMilan
% 2.1- Es det... |
function F= myfun_trapfrequency_pseudo2(c,x)
% the function of pseudo potential around the position used to calculate trap freuqency
% myfun_trapfrequency_pseudo2 include 1.second order 2. cross term 3. first order 4. C0 constant
% The difference between myfun_trapfrequency_pseudo is croos term
% Psi = c1*(x-c4)... |
classdef (Sealed = true) rect_aswp < qes.waveform.waveform
%
% Copyright 2016 Yulin Wu, USTC
% mail4ywu@gmail.com/mail4ywu@icloud.com
properties
end
methods
function obj = rect_aswp(ln)
if nargin == 0
ln = 0;
end
obj = obj@qes.waveform.wav... |
function [gray] = GetGrayValueImage(bild, wR, wG, wB)
x = size(bild,1);
y = size(bild,2);
gray = zeros(x,y);
for i=1:x
for j=1:y
gray(i,j) = round(wR*bild(i,j,1) + wG*bild(i,j,2) + wB*bild(i,j,3));
end
end
gray = uint8(gray);
end |
%LOAD_STARFISH Loads the starfish test image and rescales the dynamic range
%
% Mehdi Bahri - Imperial College London
% July, 2016
O = double(imread('starfish.jpg'));
O = normalize_dynamic_range(O);
|
function RESULT = vuNerveImageAnalysis(X, Seg_X, varargin)
% vuNerveImageAnalysis(...) performs analysis on image X, to find nerve
% cells, and compute the myelin and axoplasm count per cell.
%
% SYNTAX:
% RESULT = vuNerveImageAnalysis(X, Seg_X)
%
% OUTPUTS:
% RESULT is the analysis results
... |
function SubmitJobs_M400()
% $Rev: 690 $
% $Author: maxim $
% $Date: 2014-10-28 07:25:19 +0400 (Tue, 28 Oct 2014) $
% Submit Tinker jobs
global ORG_STRUC
global POP_STRUC
for indic = 1:ORG_STRUC.numParallelCalcs
whichInd = find([POP_STRUC.POPULATION(:).Folder]==indic);
DO_NOW = 0;
if isempty (whichInd)
... |
% Assignment 02, Exercise 03 by Georgia Markouleki(387232), Manuel Widdel(379704), Mohammad Teimoori(370543)
function [ ] = a02e04Surf()
x = -15:.2:15;
t = (0:.2:10);
[X,T] = meshgrid(x,t);
count=0;
for dim = [0 1;1 0;1 1]'
count=count+1;
U = a02e04WaveEq(T, X, dim(1),dim(2));
subplot(3,1,count)
surf(X... |
function [ y ] = IIRfilter( x, theta, r )
%UNTITLED4 Summary of this function goes here
% Detailed explanation goes here
y = zeros;
y(1) = x(1) - r*x(1);
y(2) = x(2) - r*x(2) + 2*r*cos(theta)*y(1);
y(3) = x(3) - r*x(3) + 2*r*cos(theta)*y(2) - (r^2)*y(1);
for i = 4:length(x)
y(i) = x(i) - r*x(i) + 2*r*cos(theta)*... |
function A = computeBlockPeriodicGraphLaplacian(tri,k,b)
A = sparse(b*k,b*k);
% For convenience, first create the Laplacian matrix of the 3 by 3 block triangulation.
% Then use only the middle block to construct A.
B = sparse(9*k,9*k);
% Make a standard log-normal random matrix of size k by 9*k.
% Only part of it wi... |
function Wd = dict_learn( X, Wd, alpha, coeff_size, lr, conv_thres, conv_count, max_iter )
%DICT_LEARN Summary of this function goes here
% Wd = dict_learn( X, alpha, coeff_size, conv_thres )
if all(Wd(:)==0)
Wd=col_norm(rand(size(X,1),coeff_size),2);
end;
%%
disp('Training');
j=0;
Wd_diff1=0;
count... |
function [sum_error]=peuk_error(C_exp)
global data
sum_error=0;
for i=1:length(data(:,1))
sum_error=sum_error+abs(C_exp(1)*data(i,1)^C_exp(2)-data(i,2));
end
|
clear;
a = imread('model-t.png');
a = double(a);
k1 = 1.0/8.0 * [1 0 -1; 2 0 -2; 1 0 -1];
gx = double(imfilter(a,k1));
imshow(gx,[]);
k2 = 1.0/8.0 * [1 2 1; 0 0 0; -1 -2 -1];
gy = imfilter(a,k2);
imshow(gy,[]);
gm = sqrt(gx .^ 2 + gy .^ 2);
imshow(gm,[]);
figure('name','Edge Detection');
title('Edge Detection');
gm2=ui... |
% Script to check pixel shift in Alexa channel do to removal of dichroic
% mirror on scope 5. Using dftregistration function from https://www.mathworks.com/matlabcentral/fileexchange/18401-efficient-subpixel-image-registration-by-cross-correlation
%to register images.
% inDirs = {'/Volumes/Blemert12/20191223_TM31_PLX... |
function ydot = testfunc(t, y)
size(y)
y
ydot = zeros(size(y));
ydot(1, 1) = y(1, 2);
ydot(1, 2) = -y(1, 1);
end
|
function [terrain,terrDeriv] = computeTopoDerivative(TestCase,xlon,DS,RAY)
ht = 0.0 * xlon;
dhdx = 0.0 * xlon;
%% Make a windowing function and its derivative
LI = 0.5 * (DS.L - 3 * RAY.width);
wdex = find(abs(xlon) <= LI);
W = zeros(1, length(xlon));
DW = zeros(1, length(xlon)... |
function dydt = nbody(t,y,m)
%nbodies with gravity; mass is an array for n masses
% [x1, y1, x2, y2, vx1, vy1, vx2, vy2]
%nb is the number of bodies
% nb is the number of bodies
nb = numel(m);
% number of space dimensions = nd
nd = numel(y)/(nb*2);
dydt = zeros(2*nb*nd, 1);
for i = 1:nb
for j = 1:nd
% index rang... |
function net = buildAutoencoder( n_in,n_hidden)
%│§╩╝╗»autoencoder═°┬š▓╬╩ř
net.hidden.w=0.005.*rand(n_hidden,n_in);
net.hidden.b=zeros(n_hidden,1);
net.out.w=0.005*rand(n_in,n_hidden);
net.out.b=zeros(n_in,1);
end
|
function channel_loc2tvs
% start at the root and convert the channel_loc.txt files for BIDS
% SPM12 dependency
folders = dir('sub*')
for f=7:length(folders)
cd(folders(f).name)
file = dir('*.txt')
fileID = fopen(file.name);
C = textscan(fileID,'%d %f32 %f32 %f32 %s %s');
fclose(fileID);
%... |
clc;
clear all;
%%Binarization of Train and Test data
load spamData.mat;
Xtrain_s = Xtrain;
for i = 1:3065
for j = 1:57
if Xtrain_s(i,j) > 0
Xtrain_s(i,j) = 1;
else
Xtrain_s(i,j) = 0;
end
end
end
Xtest_s = Xtest;
for i = 1:1536
for j = 1:57
... |
classdef FiniteFieldPoly
properties
field;
end
properties (Constant)
zero = -Inf;
one = 0;
end
methods
function obj = FiniteFieldPoly(p,n)
obj.field = gftuple((-1:p^n-2)',n,p);
end
end
methods (Static)
function r = add... |
function repo_data = find_dependencies(repo_data)
% Works through the function names in repo_data and finds the dependencies
% between them.
%
% Args:
% repo_data (structure): all functions found by the indexing routine.
% Example: repo_data = find_dependencies(repo_data)
disp('Calculating dependencies...');
for ... |
function x = Continuation( fun, jac, x0, N)
% Continuation homotopy continuation method.
% X = Continuation(FUN, JAC X0, N) starts at the column vector X0 and
% tries to solve the equations in FUN. FUN accepts input X and returns
% a column vector of equation values FUN evaluated at X. JAC accepts
% input ... |
function [output,err] = classifier(resps1,resps2)
% var 'mat' = 100 (neurons) x 401 (responses at each stimulus)
% var 'resps1' = 500 (poissrnd responses) x 100 (each neuron) @ -0.1 deg
% var 'resps2' = 500 (poissrnd responses) x 100 (each neuron) @ +0.1 deg
training = [resps1(1:400,:); resps2(1:400,:)];
sample = ... |
function n = psopendoc(f)
%PSOPENDOC Open the file in Photoshop.
% N = PSOPENDOC(F) F is the full path to the file. N is the resulting
% name of the document.
%
% Example:
% n = psopendoc('C:\MyFile.jpg')
%
% See also PSSETACTIVEDOC, PSCLOSEDOC, PSDOCNAMES, PSNEWDOC,
% PSNEWDOCMATRIX, PSNUMDOCS, PSHISTOG... |
classdef NdgNonVisSolver
%NDGNONVISSOLVER 此处显示有关此类的摘要
% 此处显示详细说明
properties
end
methods
function obj = NdgNonVisSolver( phys )
%Doing nothing
end
function matEvaluateRHS( obj, fphys )
%doing nothing
end
... |
function [results_SMF, results_NO_SMF, aic_scores] = fit_models(path)
%wrapper: Wrapper function that calculates negative loglikelihoods and
%AIC scores for different models
%load data
df = readtable(path);
df = table2array(df);
%columns for indexing
sub = 1;
act1 = 2;
state2=3;
act2= 4;
reward = 5;
turn_index ... |
function [H,s,ang,t,R] = IRL_TformToSRT(H)
%Convert a 3-by-3 affine transform to a scale-rotation-translation
%transform.
% [H,S,ANG,T,R] = IRL_TformToSRT(H) returns the scale, rotation, and
% translation parameters, and the reconstituted transform H.
% Scale modification by Scott - based on cvexTformToSRT
% Extrac... |
close all
clear all
clc
% % function simmap1()
[filename, pathname]=uigetfile('*.*','Select a image');
if isequal(filename,0) || isequal(pathname,0)
fn='D:\FYP\h1.jpg';
else
fn = fullfile(pathname, filename);
end
a=fn;
imshow(a);
[m1,n1,o1]=size(a);
mapsize=input('Enter the Scale Factor ');
m2=m1*map... |
close all
clear
clc
l = 0;
% shows that 0.005 tolerance and lower resolution solution is just as good
% as higher resolution (v7 is low)
%RBC_core = {'With1Hgb_v6','With1Hgb_v7'} t_end = 180
clear WF m_f m_fr
dt = 0.01;
LineColor = {[1 0 0],[0 0 0],[1 0 1],[0 0 1/2],[1 0 0],[0 0 0],[1 0 1],[0 0 1/2],[0... |
%%%% Nominal parameters of the AD model
P_env=95; % Environmental stress load
gamma_B=1; % Barrier-mediated inhibition of pathogen infiltration
kappa_P=0.6; % Nominal skin permeability
alpha_I=0.25; % Rate of pathogen eradication by innate immune responses
delta_P= 1; % Basal pathogen death rate
kappa_B=0.5; %Ba... |
function Rinsel_paper(fig_list, out_path, collation, fh)
%
if ~exist('fh', 'var'), fh = []; end;
script_dir = fileparts(which(mfilename));
rilling_dir = fullfile(script_dir, '..');
analysis_dir = fullfile(rilling_dir, 'analysis');
addpath(genpath(fullfile(rilling_dir, '_lib')));
addpath(genpa... |
function [data,b_upper_plot,b_lower_plot,b_xfit,b_y] = NP_bin_param(x_param,y_param,w,xfit,opt)
% NP_bin_param - To divide the dependent pRF parameter into different bins and calculate the mean of the
% independent pRF parameter in the bins.
%
%
if ~exist('w','var') || isempty(w)
w = ones(size(x_param));
end
x_T... |
function Cord = line2dot(line)
% Function to find the coordinates of points with a line specified by the
% coordinates in the matrix line.
% INPUT: line, matrix with 4 columns, corresponding to
% [X_start, Y_start, X_end, Y_end]
% OUTPUT: Cord, matrix with 2 columns. Each row has the x and y coordinates
% ... |
function[active, infected] = exp_susceptible_spread(G, start_node, ...
full_soc, p, is_susceptible, niter)
active = zeros(niter, 1);
infected = zeros(niter, 1);
parfor i = 1:niter
[num_active, num_infected] = ...
susceptible_spread(G, start_node, full_soc, p, is_susceptible);
active(i) = num_active;
... |
clc;
addpath('lib');
addpath(genpath('textures'));
%Lectura archivos de prueba
test=dir('textures/test');
testname = extractfield(test,'name');
testname=testname(3:end-1);
%Numero de clasificadores
a=30;
%Numero de grupos
b=10;
%Imagenes por grupo
c=25;
%Numero de bins
k = 16*4;
%almaceno clasificacion de cada i... |
function spc_deletepolyLines;
global spc;
global gui;
delete(findobj('Tag', 'poly'));
|
function cal = checkDispComp(test_frame, cal)
%checkDispComp Checks the quality of the dispersion compensation and
%improves it if necessary
% todo: dispersion compensation part of cal could be optional
% Dispersion compensation
idx = cal_idx(cal, 'user');
Gc = cal(idx).Gc;
p = 1:length(Gc);
k0 = max(p)/2;
% Wave... |
% Starting in the top left corner of a 2×2 grid, there are 6 routes
% (without backtracking) to the bottom right corner.
%
% How many routes are there through a 20×20 grid?
% Ans: 137846528820
size = 2;
nchoosek(2 * size, size)
size = 20;
sym( nchoosek(2 * size, size) )
|
%%scale image with a scale factor
%function result = scale(img,factor)
%img is a image
%factor is a scale factor
%result is a image multiply by a scale factor
%example:
%img = imread('xxx.jpg');
%img1 = scale(img,0.5);
%img2 = scale(img,1.5);
function result = scale(img,factor)
%scale image factor
result = ... |
%% sosproof
clearvars; clc;
%Define a polynomial with its variables------------------------------------
pvar x1 x2;
f =2*x1^4*x2^2+2*x1^2*x2^4+4*x1^2*x2 +2;
%Check if f is
%SOS-----------------------------------------------------------------------
[feas,x,P] = issos(f);
% if feasible display x,P such that xtrans*P*x... |
%% Detecting Discontinuities and Breakdown Points
% Signals with very rapid evolutions such as transient signals in dynamic
% systems may undergo abrupt changes such as a jump, or a sharp change in
% the first or second derivative. Fourier analysis is usually not able to
% detect those events. The purpose of this examp... |
function [eeSeq, matSeq] = tableSeqs(n)
% 杨辉三角递推求EE序列和矩阵行数序列（后者已弃用）
%{
第一行是C_0^0，生成C_0^0到C_n^m的杨辉三角表。
params:
n: 代表最大的待选取物品数
return:
eeSeq: 由矩阵交互生成的ee数所组成的序列
matSeq: 矩阵行数序列
%}
table = zeros(n+1,n+1); % 初始化递推表
for i = 1:n+1
table(i,1) = 1;
table(i,i) = 1;
fo... |
%NEULERSED Método de Euler para SED.
% [t,u,v] = NEulerSED(f,g,a,b,n,u0,vo)
% u'= f(t,u,v), v'=g(t,u,v), t=[a, b], u(a)=u0 e v(a)=v0
%
%INPUT:
% f, g - funções do 2.º membro das Equações Diferenciais
% [a, b] - extremos do intervalo da variável independente t
% n - número de subintervalos ou iteraç... |
function [x,y,u,v,w, vnames] = readDAT(files,quiet)
if (nargin == 1),
quiet = 0;
end;
if (ischar(files)),
files = {files};
end;
if (~quiet & (length(files) > 1)),
showwait = 1;
timedWaitBar(0,'Loading files...');
else
showwait = 0;
end;
for i = 1:length(files),
fid = fopen(files{i});
ln ... |
function [ feature ] = image_feature_vector2( I )
%UNTITLED Summary of this function goes here
% Detailed explanation goes here
I = double(I);
sizeI = size(I);
a = floor(sizeI(1)/3);
b = floor(sizeI(2)/3);
j = 1; i = 0;
feature = [];
for k = 1:9
i = mod(i, 3) + 1;
... |
function build_tens_mat
CT = [];
CR = [];
CB = [];
for i = 1:size(lprojs, 2)
l1 = lprojs(:, i, 1);
l2 = lprojs(:, i, 2);
l3 = lprojs(:, i, 3);
l4 = lprojs(:, i, 4);
t_mat = util.cpmat(l1)*(l2*l3');
r_mat = zeros(3, 9);
r_mat(1, 1:3) = -l2(... |
%run('vlfeat-0.9.20/toolbox/vl_setup')
load_vis = true;
load_cla = true;
load_lab = false;
save_visual_dict = false;
save_classifier=false;
save_labels= true;
%CNN variables
%...
tic;
%im = imread('Caltech4/ImageData/airplanes_test/img001.jpg');
vocab_size = 400;%400, 800, 1600
train_percentage = 0.5;%0.5
color_type... |
%----------------------------Funciones Aritmeticas---------------------------------------%
ceil(x) %Redondea al entero mas cercano hacia el infinito positivo del valor de x
fix(x) %Redondea al entero mas cercano hacia cero del valor x
floor(x) %Redondea al entero mas cercano hacia menos infinito del valor de x
mod(... |
function CC_check_missing_runs
data = importdata('../doc/CC_bipolar_label_counts.log',',');
strs = cellfun(@(x) regexp(x,'_','split'),data.textdata(:,1),'uni',0);
strs(1) = [];
subs = cellfun(@(x) x{1},strs,'uni',0);
runs = cellfun(@(x) x{2},strs,'uni',0);
runs = str2double(runs);
allsubs = unique(subs);
for isub = 1... |
function [ im, theta ] = imdeskew( src, max_angle , resolution)
if nargin <= 1
max_angle = 50;
resolution = 1;
elseif nargin <= 2
resolution = 1;
else
%error('unsupported input format')
end
% input settings
if size( src, 3 ) > 1
gray = rgb2gray( src );
src = gray > gra... |
% Physical Costants - SI
%%%%%%%%%%%%%%%%%%%%%%%%
% Returns value of physical constants in SI
% Example Usage:
%
% load physicalConstants-SI.mat % Load all variables
% load physicalConstants-SI.mat me c % Load electron mass and light speed
%%%%%%%%%%%%%%%%%%%%%%%%%
% Copyright 2021 Rishabh Datta, MIT
%%%%%%%%%%%%%%%%%%... |
function [c,ceq,dc,dceq] = Cfun(Z,ac,N,D)
VR = Z(end-1);
tfin = Z(end);
Psi0 = Z(end-2);
t = ((tfin/N)*(1:N))';
% X = [u,v,w,p,q,r,Phi,Thet,Psi,x,y,z,df,da,de,dr,CTx,CTy]
X(N,16) = 0;
for j = 1:16
X(:,j) = Z((j-1)*N+1:j*N);
end
X(:,9) = X(:,9) + Psi0*t;
F(N,12) = 0;
... |
clc
clear all
fm=1;%defining fm
fs=20*fm;%defining fs
t=-3:(1/fs):3;%defining t
am=1;%defining am
m=am*cos(2*pi*fm*t);%the message signal
del=(2*pi*fm*am)/fs;%defining del
%Running a for loop
for i=1:length(t)
if(i==1)
mq=0;
d(i)=m(i);
dq=(sign(d))*del;
mq=dq;
else
d(i)=m... |
function [Vs,Ds]= eigensorted(A)
[V,D] = eig(A);
[d,ind] = sort(diag(D),'descend');
d
ind
Ds = D(ind,ind);
Vs = V(:,ind);
end |
addpath(genpath('/home/Pedestrian/Documents/PycharmProjects/Incremental_Learning_for_Detection/edges'));
addpath(genpath('/home/Pedestrian/Documents/PycharmProjects/Incremental_Learning_for_Detection/piotr_toolbox/toolbox/'));
voc_dir = '/home/Pedestrian/Documents/PycharmProjects/Incremental_Learning_for_Detection/dat... |
clc; clear;
dim = 1000;
dens = 0.1;
rc = 0.6;
kind = 1;
sparse_matrix = sprandsym(dim, dens, rc, kind);
full_sparse = full(sparse_matrix);
tic;
L = chol(full_sparse);
toc;
block_dimension = 10;
A_11 = full_sparse(1:block_dimension,1:block_dimension);
A_12 = full_sparse(1:block_dimension,block_dimension + 1:end);
A... |
function [in,xx,m_SetElem,f,funbc,e_DatSet,e_VG] = read_data(file,path_file)
%******************************************************************************************
%* FUNCION DE LECTURA DE DATOS Y GENERACION DE VARIABLES PRINCIPALES *
%* ... |
x=-pi:.01:pi;
y=f(x);
plot(x,y); |
%% pedigree
% gets classification tree of a taxon
%%
function [tree, nm, val, units, label] = pedigree(taxon, var)
% created 2015/09/18 by Bernd Brandt; modified 2017/12/14 by Bas Kooijman
%% Syntax
% tree = <../pedigree.m *pedigree*> (taxon)
%% Description
% gets a tree of all species in the add_my_pet collection ... |
%% RBES_Select_LaunchVehicle.m
function [lv,pack_factor] = RBES_Select_LaunchVehicle
% global params
r = global_jess_engine();
%% Run lv RBES
r.eval('(focus LV-SELECTION)');
r.run(1000);
[~,lv] = get_all_data('MANIFEST::Mission',{'launch-vehicle'},{'single-char'},0);
[~,values] = my_jess_query('MANIFEST::Mission','lv-... |
function sub_payoff = subframe_payoff(parent)
% 单账户管理-组合损益作图
%sub_single_sub_payoff = subframe_single_subframe_payoff(parent)
% 吴云峰 230170318
sub_payoff.parent = parent;
% payoff的作图句柄
sub_payoff.axes_payoff = axes('Parent', parent, 'Units', 'Normalized', ...
'Position', [0.07 0.08 0.9 0.85], 'FontSize' , 9 , 'Fon... |
%LAB03
clear all; close all; clc
x = load('xNew.dat');
y = load('yNew.dat');
theta = zeros(3,1);
m = length(x);
x = [ones(m, 1), x];
pos = find(y==1);
neg = find(y ==0);
%Procedure 3.1
plot(x(pos, 2), x(pos, 3), ('*'));
hold on
plot(x(neg,2), x(neg,3), 'o');
xlabel('Exam 1 Score');
ylabel('Exam... |
function z = isocomplex(q, a)
% ISOCOMPLEX Construct a complex number from a quaternion, with the same
% modulus and argument as those of the quaternion. The result
% will be in the upper half of the complex plane unless the
% second (optional) parameter is supplied - in thi... |
function results = util_find_maxlength_of_chs( SPT )
%UTIL_FIND_MAXLENGTH_OF_CHS 工具函数：利用MCS信息，找到Spike Table中最长的通道
% 给出Spike Train中Spike数目最多的通道
% 结果是以hwid给出，需要转换
%
% 蒲江波 2008年 (为Gap Junction Paper编写的工具函数)
max_length_of_channels = 0;
for i = 1:64
if max_length_of_channels < length( SPT{i} )
ma... |
function [Q,S] = Q1(A,b,n)
j = length(A);
if nargin < 3, n = j; end
b = b/norm(b);
Q = zeros(j,n); Q(:,1) = b;
S = zeros(min(n+1,n),n);
for k=1:n
z = A*Q(:,k);
for i=1:k
S(i,k) = Q(:,i)'*z;
z = z - S(i,k)*Q(:,i);
end
if k < j
S(k+1,k) = norm(z);
if S(k+1,k... |
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