text stringlengths 8 6.12M |
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sn = [675, 578, 600, 559, 563, 540;
14000, 55000, 58000, 61000, 165000, 270000]';
log_sn = log10(sn);
X = [log_sn(:, 2), ones(size(log_sn, 1), 1)];
a = (X' * X) \ (X' * log_sn(:, 1));
A = 10^(a(2, 1));
B = a(1, 1);
x = 4:0.1:5.5;
y = a(1, 1) * x + a(2, 1);
disp("3(a)");
figure(1);
plot(log_sn(:, 2), log_sn(:, 1)... |
function comparison = SEL_compare_archs(arch1,arch2)
%% SEL_compare_archs.m
%
% a1 = SEL_get_arch_from_results(results,3)
% Usage: SEL_compare_archs(a1,used_params.ref_sel_arch)
global params
fprintf('************************************************************\n');
fprintf('*******************************************... |
%% AML-Reflex Model Project
% Authors:
% Gaia Carparelli
% Marion Claudet
clc;
clear all;
close all;
%% Load data
load('data1.mat');
load('data2.mat');
load('data3.mat');
%% Extracting footfall patterns
nbr_data = 3;
FF.foot_falls1 = data1.footfall.data;
FF.foot_falls2 = data2.footfall.data;
FF.foot_falls3 = data3.fo... |
function [abort] = TimerDisplay(t, Haplo, Text, movie)
%========================== TimerDisplay.m ================================
%
% Plays a countdown from 't' seconds (displayed in MM:SS format) and an
% animated icon while displaying 'text'. Can optionally be exported as
% an .avi movie. Quits if user p... |
function y=multiedge(obraz,s);
a=rgb2gray(obraz);
%utworzenie 3 mask dla operatora Sobela
h1=[1 0 -1; 2 0 -2; 1 0 -1];
h2=[1 2 1;0 0 0;-1 -2 -1];
v=[1 2 1;2 4 2; 1 2 1];
%Splot obrazu z powyższymi maskami
a1=filter2(h1,a);
a2=filter2(h2,a);
ns=h1;
for ii=1:s
nsh=conv2(ns,v);
p=max(max(ns))/max(max(nsh));
... |
function obj = gsparsity(varargin)
%@gsparsity Constructor function for gsparsity class
% OBJ = gsparsity('auto') attempts to create a gsparsity object by ...
Args = struct('RedoLevels',0,'SaveLevels',0,'Auto',0,...
'stimInfoDir',['..' filesep '..' ],'ClusterDirs',{''},...
'Normalize',0,'Su... |
function [ posesLearning,posesService ] = showTrajectories( tangoPose )
%SHOWTRAJECTORIES Summary of this function goes here
% Detailed explanation goes here
figure;
idx = 1:size(tangoPose,1);
posesLearning = tangoPose(:,5)>0;
posesService = tangoPose(:,5)<0;
timediff = tangoPose(2:end,5) - tangoPose(1... |
%Parameters are
%bornes,
%steps,
%aMax : maximum aspect ratio skew
%sMax : shear value
%dMin : minimal determinant matrix we want
%dMax : maximal determinant matrix we want
function transfos = genTransfos(bornes, steps, aMax, sMax, dMin, dMax)
I1Min = bornes(1,1);
I1Max = bornes(1,2);
I2Min = bornes(2,1);
I2Max = ... |
% Snipet 4
fprintf('Fibonacci Series \n')
fmm=1; % f_{n-2}
fm =1; % f_{n-1}
fprintf('number: %f \n',fmm)
fprintf('number: %f \n',fm )
for n = 3:10
fn = fm + fmm;
fprintf('number: %f \n',fn)
% preparing for the next step
fmm = fm; % f_{n-2} <- f_{n-1}
fm = fn; % f_{n-1} <- f_{n}
en... |
% Plot the figure of R_m versus alpha
alpha = linspace(-pi/2,pi/2,100);
l = 4e-6;
theta = 1*pi/3;
R = 1e-6;
gama = 7e-2;
R_m = -(l/2-R*cos(alpha))./cos(-alpha+theta);
plot(alpha*180/pi,gama./R_m)
xlabel('alpha (degree)')
ylabel('P')
title('Relationship between pressure and alpha')
xlim([-90,90])
shg |
%%
clear;clc;close all;
% 可以尝试修改的参数，便于加深理解，获得更优的性能。
n_hid =35; % 隐层神经元数量
n_iters = 8000; % 迭代次数
learning_rate = 0.46; % 学习率
mini_batch_size = 1; % batch大小
%22 3000 0.45
% 初始化
if exist('page_output_immediately')
page_output_immediately(1);
end
more off;
model = initial_model... |
function rename_even_better(root_dir)
mask_dir=root_dir;
dirData = dir(fullfile (mask_dir,'*.jpg')) ;
%dirData = dir(fullfile (mask_dir,'*.tif')) ; %# Get the selected file data
fileNames = {dirData.name} ;
num_files_to_rename = numel(fileNames);
TF=isstrprop(fileNames,'digit');
for ii=1:num_files_to_ren... |
function [cbr] = compute_weights(cbr)
for emotion = 1:6
for attr = 1:45
cbr.class_weights(emotion, attr) = 1/(abs(cbr.active_count(emotion, attr) / cbr.class_count(emotion) - 0.5)*2);
end
end
end
|
function [SR,y,deltaP] = laitteistoparametrit(dp)
% Ratkaise saturaatiosuhteet, sek� adiabaattisessa laajenemisessa
% vaadittavat painesuhteet ja -erot.
Ti = 23 + 273.15; % alkul�mp�tila, K
Pf = 990 * 1e-3 * 1e5; % loppupaine, Pa
gamma = 1.4; % ilman adiabaattivakio
% ratkaistaan painesuhteet
% p... |
%CSDN:http://blog.csdn.net/sinat_30071459
%%
clc;
clear;
source_txt1='/home/lc408/cub_bird/VOC/VOC2007/img/output.txt';
source_txt2='/home/lc408/cub_bird/VOC/VOC2007/img/output.txt';
dest_txt='/home/lc408/cub_bird/VOC/VOC2007/img/output.txt';
imname=textread('CUB_200_2011/images.txt','%s');
flag=textread('CUB_200_201... |
if (x==zeros(1,3)) & (a==5)
y=1
else
y=0
end
|
classdef lineScan
% last edit: Perry Spratt 01/17/2017
%An object for saving and manipulating line scan data
properties
% Basics
name = [];
date = [];
xmlData = [];
imagingParams = [];
scan_image = [];
% Parameters that vary between exper... |
function [ f1prob, f1probl ] = F1_PROB( sza,glat,rz12 )
%F1_PROB Occurrence probability of F1 layer
%
% subroutine f1_prob (sza,glat,rz12,f1prob,f1probl)
%--------------------------------------------------------------------------
% Occurrence probability of F1 layer after Scotto et al., Advances in
% Space Resea... |
function [x_prime, y_prime, theta_prime] = monte_carlo_localization(...
x, y, theta, delta_t, v, omega)
x_prime = x + v * delta_t * cos(theta);
y_prime = y + v * delta_t * sin(theta);
theta_prime = theta + omega * delta_t;
end
|
% MyKeyWords
clear all
load('allKW201712Collaps_Deg0Removed.mat')
load('nums2017.mat')
CalculateSortedallKW
padding='XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX';
ReadMyAbstracts
% Remove brakets, for example: Clauser-Horne (C... |
function d = markov(h1, h2)
% MARKOV calculates the MARKOV similarity between the two histograms
% note: Markov is not symmetric, one sequence becomes the model
% -h1 is the sequence
% -h2 is the model
cond=log(build_cond(h2));
d=sum((h1-1).*cond);
end
|
function [T] = heat(BC,IC,L,Nnodes,t_final)
% This function solves 1D heat equation using finite difference method.
% Input arguments
% BC Boundary condition
% IC Initial condition
% L The length of interest
% Nnodes Number of nodes
% dt Time step
% t_final F... |
function h = trueVsModelSpikes(v)
Y = v.Y;
Yh = v.Yh;
Yh1 = v.YhAR;
ix = ~isnan(Y); Y = Y(ix); Yh = Yh(ix); Yh1 = Yh1(ix);
Fs = 5;
h(1) = figure; hold on; set(gcf, 'color', 'w'); set(gca, 'FontSize', Fs);
xlabel('trial'); ylabel('spike count'); title(v.name);
xx = [1 1:numel(Y) nume... |
% Find the optimal number of features
featR = 1:30;
time = -2.5+ws:1/64:0.5;
timeOfInterestIndex = find(time >= 0,1,'first');
[p_SCP,p_SCP_train] = features_number_study(training,testing,...
'cvType',{'KFold'},'nFold',10,'timeOfInterest',timeOfInterestIndex,...
'feature2Use',{'temporal'},'featureRange',featR,'... |
%% Import Video
% This code imports a video object and then reads the frames.
clear all; close all;
set(0,'DefaultFigureWindowStyle','docked')
% INPUT the filename of your video
vid_in = '/Users/joshsalvi/Documents/Lab/Lab/Videos/Tungsten/20160302/Composite_(NTSC)_20160302_1630.mov';
% Be sure that you use one of the ... |
% 05-2012
% Victor Barres
% USC Brain Project
% Script to display fwdActive
function disp_fwdActiv(varargin)
if isempty(varargin)
simName = getSimName();
else
simName = varargin{1};
end
path = sprintf('simulations\\%s\\',simName);
load(sprintf('%s\\fwdActiv.mat',path));
numBC = length(fwdActiv.brainCircuit)... |
function theta = ista_c_haar(y,phi)
%random init for k=0
theta = normrnd(0,1,[64,1]);
%get the alpha
alpha = 178.0;
% eig_vals = eig(A'*A);
% alpha = max(eig_vals)+1;
diff = 10; %rand value
c_norm = norm(theta);
%start loop
% for k=1:10
count = 0;
while diff > 0.05
term_2 = 10/(2*alpha);
at = phi*get_psi(the... |
function [ring2,radelemIndex,cavitiesIndex]=atradoff(ring1,varargin)
%ATRADOFF switches radiation and cavity off
%
% [RING2,RADINDEX,CAVINDEX] = ATRADOFF(RING,CAVIPASS,BENDPASS,QUADPASS)
% Changes passmethods to turn off radiation damping.
%
% INPUTS
% 1. RING initial AT structure
% 2. CAVIPASS ... |
close all
clear all
Fs = 4000e3;
N = 1024;
t = [0:N-1]/Fs;
F0 = 150e3;
f = 4e3;
ff = [-N/2:N/2-1]*Fs/N;
ff = ff(N/2+1:N);
fi = pi/4;
m = 6;
s = sin(2*pi*f*t);
S = sin(2*pi*F0*t);
PM = sin(2*pi*F0*t+fi*sin(2*pi*f*t));
FM = sin(2*pi*F0*t+m*sin(2*pi*f*t));
SPM = abs(fftshift(fft(PM)));
SFM = abs(fftshift(fft(FM)));... |
% for the treadmill the distance are expressed in millimiter
% select the files interested in
function importTMdata = importfile(pathDir, timeWindow, preShock)
addpath(genpath('C:/git/rumLab/treadmill'))
% default for the function
% if nargin<=2
% %pathDir= '/home/rum/Dropbox (Scripps Research)/RumScripts/Scipts fo... |
function corespondencesPlane = matchingPlane(planePoints_1,...
planePoints_2,...
eigenPlane_1, eigenPlane_2,...
barycenterMap_1, barycenterMap_2,...
barycenterThreshold)
% matching the planes and creating the weight array
corespondencesPlane = [];
% idenx list to prevent from double match
idxList = [... |
function L = first_principles_liouvillian(lda, g, N, C)
M = sqrt(N*(N+1));
dC = 2; % extra Fock states to avoid truncation errors
a = spdiags(sqrt(0:C+dC)', 1, C+1+dC, C+1+dC); % annihilation operator
[aR, Ra] = raise(a);
[AR, RA] = raise(a');
L = lda/2*(AR^2 - RA^2 -aR^2 + Ra^2) ...
+ g^2/2*(2*aR^2*RA^2 - AR... |
clear
T0rng = 5:5:50;
NT0 = length(T0rng);
dts = 0.05;
trng = 0:dts:72;
Nt = length(trng);
E = zeros(1,Nt);
T_Rps = zeros(NT0,Nt);
T_Res = zeros(NT0,Nt);
DegEff_Rp = zeros(1,NT0);
DegEff_Re = zeros(1,NT0);
Km = 0.1;
E0_Rpm = 1.7203;
dE_Rpm = 0.1010;
E0_Rem = 3.0161;
dE_Rem = 0.1342;
cnt = 0;
for ... |
function triggerModel()
global complete_pre_data_train;
global complete_post_data_train;
global complete_pre_data_validation;
global complete_post_data_validation;
global complete_pre_data_test;
global complete_post_data_test;
global student;
numStudent = 24;
% for i =1:numS... |
load("stack.mat")
a=eval(['frame',sprintf('%.3d',15)])
size(a)
% eval(['focus',sprintf('%.3d',1)]) = zeros(size(a,1),size(a,2));
A1 = zeros(size(a,1),size(a,2));
% b=eval(['focus',sprintf('%.3d',1)])
|
acer=1;
Rat=24;
st=0; %Include Standard deviation.
if acer==1
cd('C:\Users\addri\Dropbox\Window')
else
cd('/home/raleman/Dropbox/Window')
end
cd(num2str(Rat))
cd('all_rip')
%%
load('Mdam.mat')
n=201*101;
Mdam([2,4,6],:)=Mdam([2,4,6],:)./sqrt(n);
%%
Region= {'HPC';'PAR';'PFC'};
if st==1
NoLearning={
... |
Function [sample_val_Arr_for_Elements]= convert_to_sample_values(distance_of _all_pixels_Arr, speed_of_sound, sampling_Start_time, Sample_Num_Arr);
Tim_Arr=( distance_of _all_pixels_Arr*10^-3)/speed_of_Sound – Sampling_Start_Time;
Sample_Num_Arr = round(sampling_rate*time_Arr)+1;
S = size(sample_Num_Arr);
Sampl... |
clear variables
path = 'C:\Users\60069978\Documents\MATLAB\scan24\';
% acá elijo el paso (más grueso que el original) que quiero usar. Debe ser
% múltiplo de 5 mm
paso = 35;
% cargo el txt que tiene las coords medidas
archivo = [path 'coord_pedidas_vs_medidas.txt'];
datos = importdata(archivo, '\t', 1);
d... |
%
% BoFベクトルと非線形SVMによる分類
%
function classify = BoF(list)
addpath('/usr/local/class/object/MATLAB/sift');
run('/usr/local/class/object/MATLAB/vlfeat/vl_setup');
%
% codebook生成
%
%sift特徴の計算
siftvec=[];
for i=1:size(list,1)
I=im2double(rgb2gray(imread(list{i})));
[pnt,desc] = sift_rand(I,'randn',500);
siftvec = ... |
function soln = maxgraddescbt(f, g, i, e, t, alpha, beta)
% gradient descent
% f -- function
% g -- gradient
% i -- initial guess
% e -- initial step size
% t -- tolerance
gi = feval(g,i) ;
while(norm(gi)>t) % crude termination condition
step = e .* alpha;
while(feval(f,i + step .* feval(g,i)) < feval(f,... |
function W = trainInterference(signal, alg, maxitr)
%
% Author: Dakota Murray
% Version: 26 June 2014
%
% This function trains a model representing the interference of a signal by using one
% of several algorithms. The algorithms are defined as:
%
% - A supervised algorithm where by ... |
function [Vstr, Theta, Nspikes] = cycle_Vstrength(data, modPer)
% function [Vstr, Theta, Nspikes] = cycle_Vstrength(data, modPer)
% calculates Vector strength and best angle for
% modulation periods in usec provided as argin
% - data should be a [nReps, nMaxSpikes] matrix of spiketimes in usec
% - modP... |
A[i j] += B[i k] C[k n] D[n j]
|
function Nop = getNonlinearPart2(pdeobj)
%GETNONLINEARPART2 Get the nonlinear part of a 2D time-dependent PDE.
% Nop = GETNONLINEARPART2(PDEOBJ), where PDEOBJ is a string or a
% function handle, outputs a cell-array NOP that reprents the nonlinear part
% of the PDE specified by PDEOBJ. NOP{1} reprents the non... |
clc;
clear all;
close all;
healthy_samples_norm = [];
for i = 1:18
healthy_samples_norm = [healthy_samples_norm organizedatahealthy(i)];
end
csvwrite('C:\repos\ann-arrhythmia\dataproc\healthy_samples_norm.csv',healthy_samples_norm); |
%Basic given Features Extraction in cells of FT for every sign
fid = fopen('1-2.txt');
FT{1} = textscan(fid,'%d %f %f %f %f %f %f','delimiter',',');
fclose(fid);
fid = fopen('1-20.txt');
FT{2} = textscan(fid,'%d %f %f %f %f %f %f','delimiter',',');
fclose(fid);
fid = fopen('1-22.txt');
FT{3} = textscan(fid,'%d %f %f... |
I = sinusoid2d(10,10,512,64,1);
fm = max(2* (1/64) * cos((pi*10)/180), 2 * (1/64) * sin((pi*10)/180) );
Ie = sinusoid2d(10,10,512,64,1/(0.75 * fm));
Ieft = abs(fftshift(fft2(Ie)));
Ir=reconstruction(Ie,1/(0.75 * fm),512);
colormap('gray');
figure();
subplot(1,4,1);
imagesc(I);
subplot(1,4,2);
imagesc(Ie);
subplot(1,... |
% Example script to compare several algorihms for low-rank matrix
% completion on a random problem instance. For this instance, it calculates
% reconstructions of the algorithms, and their respective relative Frobenius
% errors. Their error decays are eventually visualized and plotted, both
% with respect to the iterat... |
% Plot FRF for all tests in Exp 3 where m was varied while k and c were
% constant.
function rect_q9()
%% PRIOR KNOWNS:
xunits = "mm";
% Masses of Blocks [kg]:
mb1 = 490.5e-3;
mb2 = 485.5e-3;
mb3 = 240.5e-3;
mb6 = 490.5e-3;
Mc = mean([0.768, 0.672, 0.553]); % Mean of Cart Masses De... |
function [ v ] = to_vec( M )
%TO_VEC Implements the vec operator
[n, m] = size(M);
v = reshape(M, n*m, 1);
end
|
function bol = startsWith(str,pattern)
%
% Copyright 2016 Yulin Wu, Institute of Physics, Chinese Academy of Sciences
% mail4ywu@gmail.com/mail4ywu@icloud.com
bol = false;
lp = numel(pattern);
if lp == 0 || (length(str) >= lp && all(str(1:lp) == pattern))
bol = true;
end
end |
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% Description: To mark the detected eye movements upon the EOG and differentiated EOG.
%--------------------------------------------------------------------------------------------------------------------------------
% Used in: analyzetrain.m
%----------... |
% Copyright 2014 - by Magnus Ekeberg (magnus.ekeberg@gmail.com)
% All rights reserved
%
% Permission is granted for anyone to copy, use, or modify this
% software for any uncommercial purposes, provided this copyright
% notice is retained, and note is made of any changes that have
% been made. This software is distribu... |
function [PeAct,PeSize,DBW,DT,CC]=FindPlFieldsData(FiringRate,Thh,flag)
%Thh=0.66;
G = fspecial('gaussian',[4 4],1.5);
DT = imfilter(FiringRate,G,'same');
%DT=wiener2(FiringRate,[3 3]);
%DT=RM(:,:,48);
dd=size(DT);
de=dd(1)/2;
% flag=0; %% Set to 1 IF THE ENVIRONMENT IS A TORUS
if(flag==1)
DExt=DT;
DExt=cat(2,... |
clc
clear
close all
for iteration = 1:30
run( 'main.m' )
end
|
function v=yellow(u)% one ppixel with three rgb values
if(u(1)>=130 & u(1)<=255)%R %190
v(1)=255;
else
v(1)=u(1);
end
if(u(2)>=100 & u(2)<=255)%G %160
v(2)=255;
else
v(2)=u(2);
end
if(u(3)>=20 & u(3)<=130)%B %80
v(3)=0;
else
v(3... |
load('data\\SEDs\\Scherg N1\\Time')
load('data\\SEDs\\Scherg N1\\CondDeviant')
indList = 3:10;% Visual isolation of the first peak.
Time = Time (indList);
Time = Time - Time(1);
Time = Time./Time(end);
record = record(indList);
M = min(record);
record = record/M;
figure;
plot(Time,record,'-','color','k','LineWidth... |
%ControlCentor
% Example 1:
XVector = [0 0 0 0 1 1 0 1 1 1];
YVector = [0 0 0 0 0 0 1 1 1 1];
% Input : the data of two variables X,Y as XVector and YVector
% Output: "Sig" returns 1 if X and Y significantly associate otherwise 0
% "PValue" returns the computed p-value
% "ContigenMatrix" returns the m*... |
clear;
clc;
format long;
options = odeset('AbsTol',1e-13,'RelTol',1e-13);
f = @(t,y) [-sin(y(1))*(1+y(2)),y(1)+y(2)]';
y1 = linspace(-15,15,30);
y2 = linspace(-15,15,30);
[x,y]=meshgrid(y1,y2);
size(x)
size(y)
u = zeros(size(x));
v = zeros(size(x));
% we can use a single loop over each element to compute the deri... |
function confusion = gaussOverlap( w1, w2 )
% UltraMegaSort2000 by Hill DN, Mehta SB, & Kleinfeld D - 07/12/2010
%
% gaussian_overlap - estimate cluster overlap from a 2-mean Gaussian mixture model
%
% Usage:
% C = gaussian_overlap( waveforms1, waveforms2 )
%
% Description:
% Estimates the overlap between 2 sp... |
function [ x, y ] = implicitCurve2( F, dFx, dFy, x0, y0, curvelen, stepWidthMin, stepWidthMax, startDir )
%implicitCurve Generiert eine Menge von Wertepaaren mit F(xi,yi)==0 und
%xi=x0+stepWidth*i mit i aus 0 bis steps
%
% F Funktion mit 2 veraenderlichen, dF/dy ~=0 in allen relevanten Bereichen
% dFx und dFy sind... |
function loadgpx(fileName,varargin)
%LOADGPX Loads route points from a GPS interchange file
% ROUTE = LOADGPX(FILENAME) Loads route point information from a .GPX
% GPS interchange file. This utility is not a general-purpose
% implementation of GPX reading and is intended mostly for reading the
% files output by ... |
clear
close all
% load the data file
data = xls2struct('RMI Microgrid Load Data.xlsx', 'Sheet1');
% Save the output as...
outFilename = 'Analyzed Data.xlsx';
peakStart = 16; % 24hr, when does peak time start?
peakEnd = 21; % 24hr, when does peak time end?
timestep = 5; % Minutes (data resolution)
timestep = 60... |
function dTau_toe_pushoff_dfy = dTau_toe_pushoff_dfy(in1,in2,Fx,Fy,H,k,cmax,dmax,sampT)
%DTAU_TOE_PUSHOFF_DFY
% DTAU_TOE_PUSHOFF_DFY = DTAU_TOE_PUSHOFF_DFY(IN1,IN2,FX,FY,H,K,CMAX,DMAX,SAMPT)
% This function was generated by the Symbolic Math Toolbox version 8.5.
% 04-Dec-2020 16:46:11
q_t1 = in1(:,1);
q_t2 =... |
% Assignment 2; Problem 3
% Solving an non-convergent infinite series
% i.e. S(n) = 1/2 + 2/3 + 3/4 + .... + n/(n+1);
%% Setting up the problem
% n = 100;
% n = 250;
% n = 500;
n = 1000;
%% Performing computation
for i = 1:n
s = i/(i+1);
sAll(i) = s;
end
|
function plotBezier(Bezier,clr)
if (nargin == 1)
clr = 'b';
end
nSamples = 50;
t = [0:(nSamples-1)]'/(nSamples-1);
controlPoints = Bezier.controlPoints;
weights = Bezier.weights;
nControlPoints = size(controlPoints,1);
n = nControlPoints-1;
B = zeros(nSamples,1);
xBez = zeros(nSamples,1);
yBez = zeros(nSamples,1);... |
clc;clear all;close all;restoredefaultpath;
addpath(genpath('.'));
%% Set the input arguments
bse_exe = '/home/ajoshi/BrainSuite19b/bin/bse';
dir={'215_F1979J44','238_F1980J4S','233_F1989J4P','231_M1979J41_2','231_M1979J41_1','221_F1973J56','219_M1984K53'};
premri={'F1979J44_preMRI','F1980J4S_preMRI','F1989J4P_preMRI'... |
function [X, y, y_stim, trial, classes, classes_stim] = unpackData(data)
%unpackData: Takes in data from paper and unpacks it
%
% Parameters:
% data - struct data from loaded participant file
%
% Output:
% X - EEG data
% y - label for whether a letter is being shown (0 = not, 1 = shown but
% non-target, 2 = s... |
function [ FFstruct ] = init_global_sim(final_time, tstep, firefly_nr, cycle_period, coupling)
%%--CONFIGURABLE PARAMETERS--
FFstruct.tstep = tstep;
FFstruct.coupling = coupling;
FFstruct.final_time = final_time;
FFstruct.firefly_nr = firefly_nr; %Number of fireflies
FFstruct.firefly_cycle_period = cycle_period; %tim... |
clear all;clc;
%%this is a simulation of the famous Monty Hall game
%%which justifies the "switch door" strategy from the
%%player's side
%First we need to enter the number of games to be
%played
number_of_games = input('Enter the number of games to be played: ');
strategy = input('Will you switch after Monty opens a ... |
function [position,isterminal,direction] = EquilibriumEventFcn(t,x,DE_params_equil,Init,t_scale)
% See https://www.mathworks.com/help/matlab/math/ode-event-location.html
% for more details.
%%%%%%%%%%%%%%%%%%%%
%
% Name: EquilibriumEventFcn.m
% Code authors: Michelle Przedborski, Moriah Pellowe
% Last updated: M... |
%%sigmoidNorm.m - Sigmoid Normalization
%%This function takes a set of stimuli, and evenly distributes them around
%%the cicular complex domain using a sigmoid function. Works very well for
%%input that follows a normal distribution
function [normStimVec, vecMap] = sigmoidNorm(stimulus)
%Get the size of the stimul... |
load("vowels.mat")
[amp,w] = positiveSpectrum(vowel_u)
plot(w,mag2db(amp))
title("Espectro positivo de la vocal 'U'")
xlabel("Frecuencia rad/muestra"); ylabel("Magnitud dB") |
clc
clear
run_seconds = 2;
dx = 1/200;
dt = 0.0005;
history_interval = 0.2;
output_path = 'pictures\';
x_min = -1;
x_max = 1;
x_res = dx;
x = x_min:x_res:x_max;
u = ones(size(x));
f = zeros(size(x));
% Square wave
f = ones(size(x));
f(x>-0.4&x<0.4) = 2;
% Sine wave
% f = sin(... |
function mimage = createMask(image ,median,stafflocs, pks)
%UNTITLED Summary of this function goes here
% Detailed explanation goes here
%Constants
k = 1;
%Reshape and gett stafflines from the image
%image = rgb2gray(image);
[rows, cols] = size(image);
%Vi hade tagit bort den men tänker att vi behöver den
%[pks, st... |
function LDOS = kspec(atoms, points, V, delta, dispersion)
% LDOS = kspec(atoms, points, V, delta, dispersion)
% Calculates the conductance spectrum
% atoms = locations of scattering atoms
% points = locations to take spectra at
% V = vector of voltages to evaulate LDOS over
% delta: scattering phase shift (default i... |
Q=B;
W=A;
z1=Q(1,:)==1; %& sig(1:end-1)>10 & sig(1:end-1)<20;
b1=Q(:,z1);
z0=Q(1,:)==0; %& sig(1:end-1)>10 & sig(1:end-1)<20;
b0=Q(:,z0);
tmp=[];
CON=[];
thr=0:0.01:1;
res=[];
for th=1:numel(thr)
c=(b1(7,:)>=thr(th));
d=(b1(8,:)<thr(th));
e=[c d];
res(th)=(sum(e==0)*(-2) + sum(e==1)*1)/numel(e);
... |
function [white, black, grey] = DefineColors
white = [255 255 255];
black = [0 0 0];
grey = white/2;
end |
clc
close all
clear all
GOCE = 1;
GPS = 2;
MOLNIYA = 3;
GEO = 4;
MICHIBIKI = 5;
deg2rad = @(x) (x/180)*pi;
rad2deg = @(x) (x*180)/pi;
GM = 398.6005*(10^12);
orbit(GOCE).a = 6629E3;
orbit(GOCE).e = 0.004;
orbit(GOCE).i = deg2rad (96.6);
orbit(GOCE).bo = deg2rad (257.7);
orbit(GOCE).so = deg2rad (144.2);
orbit(GOCE).T... |
function d = createTemplateDbase(this, lsReservedName)
% createTemplateDbase Create empty template database based for Quantity object.
%
% Backend IRIS function.
% No help provided.
% -IRIS Macroeconomic Modeling Toolbox.
% -Copyright (c) 2007-2017 IRIS Solutions Team.
%----------------------------------------------... |
% comb_cprob_ind : Combination of two independent conditional PDF
%
% Call :
% pAgBC=comb_cprob_ind(pA,pAgB,pAgC)
%
% pA : Prob(A)
% pAgB : Prob(A|B)
% pAgC : Prob(A|C)
% pAgBC : Prob(A|B,C)
%
% TMH/2005
%
function pAgBC=comb_cprob_ind(pA,pAgB,pAgC)
pAgBC = pAgB.*pAgC./pA;
|
function pricing_tf_design_2()
clear all; rehash
sigma = 0.3;
r = 0.05;
T = 30;
S0 = 1;
%% 生成二叉树根
pricer = BinomialPricer;
% pricer.set_params_from_optPricer(oi);
%% 手动设置参数
pricer.T_ = T;
pricer.S_ = S0;
pricer.u_ = exp(sigma * sqrt(1/365));
pricer.d_ = exp(-sigma * sqrt(1/365));
pricer.r_ = r;
%% 挂载... |
function [ctrl, traj] = ctrl_NMPC(quad)
import casadi.*
opti = casadi.Opti(); % Optimization problem
N = 20; % MPC horizon [SET THIS VARIABLE]
% −−−− decision variables −−−−−−−−−
X = opti.variable(12,N+1); % state trajectory variables
U = opti.variable(4, N); % control trajectory (throttle, brake)
X0 = opti.parameter(... |
comp_color = containers.Map();
comp_color('annotation') = [213, 255, 246]/255;
comp_color('text') = [236, 236, 236]/255;
comp_color('figure') = [255, 213, 213]/255;
comp_color('inset') = [255, 230, 213]/255;
comp_color('legend') = [229, 213, 225]/255;
comp_color('colorbar') = [213, 246, 255]/255;
comp_color... |
%% Used for adding new data
function [DataMatrix,DataSignal] = AddData(DataMatrix,DataSignal,Resolution,...
Classes,Amount_per_class,Signals,tD,t0,tc,tp,run_time)
%% Formatting
Pixels = Resolution(1)*Resolution(2);
%Set each variable to an index to add to the 6D matrix
res_dim= find([36,100,256]==Pixels); %make n... |
function [X,params] = reduction_pca( X, opts )
p = opts.p;
M = zeros(1,size(X,2));
S = ones(1,size(X,2));
if( strcmp(opts.zero_mean,'true') )
M = mean(X,1);
X = X - (ones(size(X))*diag(M));
end
if( strcmp(opts.unit_variance,'true') ) ... |
function [rmn,rpq] =corelation (I,CiI)
ff = 10000;
for i=1:ff
x=randi([1 (size(I,1)-1)]);
y=randi([1 (size(I,2)-1)]);
m(i)=I(x,y);
n(i)=I(x+1,y);
p(i)=CiI(x,y);
q(i)=CiI(x+1,y);
end
rmn=[];rpq=[];
m=double(m);n=double(n);p=double(p);q=double(q);
Em=mean(m);En=mean(n);Ep=mean(p);Eq=mean(q);
Dm=s... |
function [yout] = Tx_Rect_QAM(QAM,RiseTime,SampleRate,BaudRate,w)
%TX_RECT_QAM Transmitter of QAM rectangular pulses
% YOUT = TX_RECT_QAM(QAM,RISETIME,SAMPLERATE,BAUDRATE,W) does upsampling and pulse shaping for
% the input signal QAM whose parameters are RISETIME, SAMPLERATE, BAUDRATE. W is the frequency
% axis
... |
function f = L1(beta)
%This function computes the (-) maximum log likelihood
global n nb nb1d nb1s lambda se pn wght
load 'Data/jecnew';
%% Update lambda and wght series
if n==1;
load 'Data/wght0.csv'; %The 1st iteration weights come from a Probit estimation in Stata (see probit.do)
wght=wght0;
pn=wght;
... |
%% compansator*
syms s
s = tf('s');
Vosc = 1.8;
L = 10e-6;
C = 100e-6;
Vin = 3;
F0 = 7500;
Vref = 1.2;
Cf3 = 2.2e-9;
Fp2 = 42525;
Fz1 = 425;
Fp3 = 250e3;
Rf3 = 1 / ( 2* pi * Cf3 * Fp2);
Fz2 = 850;
Rf1 = 1 / ( 2*pi*Cf3*Fz2) - Rf3;
Rc1 = 2*pi*F0*L*C*Vosc/Vin/Cf3;
Cc1 = 1 / (2*pi*Rc1*Fz1);
Cc2 = 1 / ( 2*pi*Rc1*Fp3);
B ... |
function [z,D] = Highboostfilters(f,cut_off,boost)
[M,N] = size(f);
F = fft2(f);
u = 0:M-1;
v = 0:N-1;
index_x = find(u > M/2);
u(index_x) = u(index_x)-M;
index_y = find(v > N/2);
v(index_y) = v(index_y)-N;
[V,U]=meshgrid(v,u);
%Computing distance from point (u,v) to center of frequency rectangle
D=sqrt(U.^2+V.^2);
H... |
function [ jointAngles ] = poseController(poseDesired, config, poseNow)
% Snake Monster Walking
% BioRobotics Lab
% Author: Simon Kalouche
%
% Pose Estimation and Control
% INPUT: poseDesired: [(pitch) rotation about x-axis, (roll) rotation
% about y-axis,(yaw) roation about z-axis]
% ... |
%#codegen
function mc_gadget_rgb(r,g,b)
coder.ceval('RGB',r,g,b);
end
|
%% Author : Deepak Karuppia 10/15/01
%% Generate 3D calibration pattern:
%% Pw holds 32 points on two surfaces (Xw = 1 and Yw = 1) of a cube
%%Values are measured in meters.
%% There are 4x4 uniformly distributed points on each surface.
cnt = 1;
%% plane : Xw = 1
for i=0.2:0.2:0.8,
for j=0.2:0.2:0.8... |
function [] = CrankNicolsoncircle()
L = 260;
tsteps = 2000*pi; % number of time steps
epsilon =0.01;
time_step=0.001;
% number of sampling points
N = 120;
% sample rate
dl = L / N;
% highest frequency detectable
kmax= 1 / ( 2 * dl );
% array of x values
xl = linspace( -L/2, L/2, N );
% array of k values
kl = linspac... |
function [x,y] = de_casteljau(n, x_p, y_p, u)
%DE_CASTELJAU: esegue l'algoritmo di DE_CASTELJAU.
%Input:
%-n: numero di punti di controllo
%-x_p: vettore dei punti, componente x
%-y_p: vettore dei punti, componente y
%Output:
%-x: componente x del punto della curva restituito dall'algoritmo
%-y: componente y d... |
%load Cactus_cfp8_3d_transB_5lev;
%load ParkScene_cfp8_3d_transB_5lev;
%load Kimono_cfp8_3d_transB_5lev;
%load CrowdRun_cfp8_3d_transB_5lev;
%load BQTerrace_cfp8_3d_transB_5lev;
%load OldTownCross_cfp8_3d_transB_5lev;
Ldc=coef(:,:,2); L5=coef(:,:,5); L4=coef(:,:,9:10); L3=coef(:,:,17:20);
L2c=coef(:,:,33:40); L2b... |
function hidden_states = multinomial_exp_sample(X, C2D, N_H2D)
% TEST 1
% C2D = [2 2] ;
% N_H2D = [4 4] ;
% X = 1/4*ones(3, 16) ;
% TEST 2
% C2D = [2 2] ;
% N_H2D = [4 4] ;
% X = 1/1000*ones(3, 16) ;
% TEST 3
% C2D = [2 2] ;
% N_H2D = [4 4] ;
% X = 1/1000*ones(3, 16) ;
% X(1,:) = 1/4*ones(1, 16) ;
... |
%[hPlot]=activityMultiTracePhysicalSpacePlot(h,Channels,Waveform,En,varargin)
% Function purpose : Plots the raw voltage data on the real space of the electrode
%
% Function recives : Channels - the channels vector
% Waveform [NChannels,Trials,Time] - the raw voltage s... |
% Script that creates artificial data and then runs all the steps of the
% code on the artificial data
% Initialize all the features to generate artificial data
room = [5 4 20];
absorp = [0]';
Fs = 22050;
mic = zeros(20,3);
src = zeros(20,3);
rir = zeros(20,15000);
positions = zeros(20,3);
c = 343;
for i = 1:20
p... |
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