text stringlengths 8 6.12M |
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% script to test complementary output filter gain structure
vel_state = 0.0;
pos_state = 1.0;
vel_demand = 0.0;
pos_demand = 0.0;
dt = 0.01;
buffer_delay = 30;
vel_state_history = zeros(1,10000);
pos_state_history = zeros(1,10000);
time = [0:dt:9999*dt];
vel_correction = 0;
pos_correction = 0;
omega = 1.0/(... |
function [ ic ] = draw_ellipse_func( pos, ori, ellipse, res )
x = pos(1);
y = pos(2);
theta = ori;
a_e = ellipse(1);
b_e = ellipse(2);
beta = linspace(0,2*pi,res)';
r = a_e*b_e./(sqrt(b_e^2*cos(beta).*cos(beta)+a_e^2*sin(beta).*sin(beta)));
v = r .* cos(beta);
w = r .* sin(beta);
R = [cos(theta) -sin(theta); si... |
function network = myclassify(data, filled)
architecture = menu('Neural Network Architecture:','Associative Memory + Classifier', 'Classifier Only');
act_fun_option = menu('Type of Activation Function: ', 'Binary', 'Linear', 'Sigmoidal');
dataSet = menu('Training Data size : ', '500','750')
validat... |
% sim�trica
clc; clear;
%A = [ 4 2 2 1; 2 -3 1 1; 2 1 3 1; 1 1 1 2]
% gera uma matriz sim�trica aleat�ria:
% N = 5
% A = randi(10,N,N) - 1;
% A = A - tril(A,-1) + triu(A,1)'
A = [
7.5431 -6.9605 5.3938 6.1428 9.0157
-6.9605 -1.3556 8.3287 -4.5111 -5.7096
5.3938 8.3287 5... |
function [f, df, m, p] = energy3_2D(centers, radii, point, index, tangent_gradient, P, view_axis, rendered_data, distance_transform, gradient_directions, settings)
D = settings.D; H = settings.H; W = settings.W;
[~, m, dm, variables] = compute_projection_jacobian(centers, radii, tangent_gradient, point, index, P, view_... |
clear
clc
close all
% check compression and shear to meet the failure critiria
n=65;
t=0.0023;
t_s=0.0027;
h=0.116;
E=73e9;
L=0.5;
[sigma_cri,sigma_mb,As_1]=stringer(n,t,t_s,h,E);
sf=2.3108e+05; %maximun shear flow
D=3; % Fuselage diameter
qs=sf/(2*pi*D); % shear flow
sigma_ms=qs/t;
b=pi*D/n;
y=KS(b,L);
sigma_scri=y... |
function [xyz,C,rest]=GamutColorCheck(type,varargin)
%GAMUTCOLORCHECK Checks input for graphical output routines
% Part of the OptProp toolbox, $Version: 2.1 $
% Author: Jerker Wågberg, More Research & DPC, Sweden
% Email: ['jerker.wagberg' char(64) 'more.se']
% $Id: GamutColorCheck.m 23 2007-01-28 22:55:34Z ... |
function locations = sample_grid_location(imgsz, sample_step)
if(length(sample_step)==1)
sample_step = [sample_step,sample_step];
end
imgh = imgsz(1);
imgw = imgsz(2);
[x,y]= meshgrid(3:sample_step(1):imgw,3:sample_step(2):imgh);
locations = [x(:),y(:)];
|
% This script generates the RT curves for varying parameters and
% it saves results into a structure
% exgauss_str = genExGaussFitVsXvar('epsilon.eps_str', 0.0:0.05:0.7, 25);
% exgauss_ctx = genExGaussFitVsXvar('epsilon.eps_pfc', 0.0:0.05:0.7, 25);
function exgauss = genExGaussFitVsXvar(x_var, x_range, part_num)
... |
function out = binsumImage(in, bin)
% TODO: evaluate omission in favor of imresize.
% Rebins image by summing bin(1)xbin(2) pixels together along x and y
% dimension, respectively. Starts at upper left corner. Rebinned image will
% have floor(size(in)./bin) pixels.
%
% out = binsum(in, bin)
di=0;
if isa(in, 'dip_imag... |
function [newclim1, newclim2]=dualcolormap(colormap1, colormap2, ax1, ax2, notaxes)
% [newclim1, newclim2]=dualcolormap(colormap1, colormap2, ax1, ax2,
% notaxes)
%
%For a two window plot, this sets a new colormap for each plot. You need
%to specify the two colormaps and the two axes handles
%
%KIM 02/06
if nargin... |
im = imread('sample.jpg');
im = uint8(im);
im_out_matlab = imresize(im, 0.5);
im_out_gau_skip = uint8(zeros(128,128));
gau = [1 2 1]'*[1 2 1]/16;
im_out_gau = imfilter(im, gau, 'replicate', 'same');
for row_i = 1:2: 256
for col_i = 1 :2: 256
row_o = (row_i + 1)/2;
col_o = (col_i + 1)/2;
... |
function [post_samp,dsk] = ALDfixed(X,k,postsumm,fig,a,b,alpha,numSteps,var)
%% Model-based inference of landmark locations (given fixed # of landmarks)
%% Inputs
% Required:
% X = sample of two-dimensional curves (all curves should be re-sampled to
% the same number of discretization points if they vary)
% k = f... |
function [RMS,SPIKES]=stan_mu_proc(DATA,FS,varargin)
if nargin<2, PARAMETER_FILE=[]; end
if ~isa(DATA,'double')
DATA=double(DATA);
end
SPIKES=[];
RMS=[];
if isempty(DATA)
warning('No data found...');
return;
end
tau=.005;
nmads=10;
gauss_sd=.005;
param_names=who('-regexp','^[a-z]');
% parameter are all values... |
% canny edge detection
% gradient for canny image
% stroke width detection
% connected component grouping.
clc;
clear all;
close all;
I=imread('2.jpg');
imshow(I);
I1=rgb2gray(I);
ed=edge(I1,'canny',0.4);
[gx gy]=gradient(double(ed),0.5);
gm=sqrt(gx.^2+gy.^2);%计算每一点的梯度大小
gdp=atan2(gy,gx);%计算每一点的梯度方向
figure;
imshow(gm)... |
function [predict] = myNaiveBayes(data_train, data_class, data_test)
% Naive Bayes - For continuous features
%
% Binary Classification: 1 positive label and 0 negative label
%
% Input: data_class: Training set labels, Nx1.
% data_train: Training set, NxM.
% Output: data_test: Test set.
%
% Author: William T. ... |
clc
clear all
close all
tic
%img=imread('E:\Projects\uni-karshenasi\PROJECT\Documents\4_Our Code\Matlab\Test.jpg');
v = VideoReader('Test.mp4');
counter=0;
while hasFrame(v)
counter=counter+1;
img = readFrame(v);
TRL=1;
TRH=1;
TCL=1;
TCH=1;
for irow=1:1:720
for icol=1:1:1280
R=img(irow,icol,... |
function[L] = getLaplacian(n,h)
%[L] = getLaplacian(n,h)
%
if nargin==0
n = [32 32];
h = [1 1]./n;
x = h/2:h:1;
[X,Y] = ndgrid(x);
u = cos(pi*X(:).*Y(:));
Lapu = -pi^2*(X(:).^2+Y(:).^2).*u;
Lap = feval(mfilename,n,h);
Laput = Lap*u;
figure(1); clf;
subplot(1,3... |
function y = Fun_Linearization1(y0, dt, tend)
t = 0:dt:tend;
size1 = numel(t);
y = zeros(1,size1);
y(1) = y0;
for i = 2:size1
y(i) = ( y(i-1) + ( 7 * (dt/2) * ( 2 - (y(i-1)/10) ) * y(i-1) ) ) / (1 + (7*y(i-1)/10)*(dt/2)) ;
end
|
function [FeatureTimestamps, Features] = CalculateFeatures(featuresToCalc)
% [FeatureTimeStamps,Features] = CalculateFeatures(featuresToCalc)
%
% input string list of featurenames
%
% output
% FeatureTimeStamps = timestamps
% Features = set of features
MCS = MClust.GetSettings();
MCD = MClust.GetData();
nFeat = ... |
function [mu] = nancirc_mean(alpha)
% Wrapper for the circ_mean function, found in the Circular Statistics
% Toolbox for Matlab, by By Philipp Berens, 2009
% berens@tuebingen.mpg.de - www.kyb.mpg.de/~berens/circStat.html
%
% Written by Andrew S Bock Jan 2015
%% Find circ_mean of non-nan values in each row
m... |
function y=zuisuxiajiang()
clc;
clear;
syms x_1 x_2 x_3 x_4;
fun=(x_1-1)^2+(x_3-1)^2+100*(x_2-x_1^2)^2+100*(x_4-x_3^2)^2;
x=[-1.2;1;-1.2;1];
epsilon=0.001;
count=0;
g=gra(fun,x(1),x(2),x(3),x(4));
flag=norm(g);
while (flag>=epsilon)
Mini=lamb(fun,x(1),x(2),x(3),x(4));
a=x-Mini*g;
f2=subs(fun,[x_1,x_2,x_3,x... |
clear all
close all
clc
addpath('../models/proprietary/R2016b/FM')
addpath('..')
smallDrivelineSimScape_oscSpring_flex_config
model_file_name = 'smallDrivelineSimScape_oscSpring_flex';
open_system(model_file_name);
%% Run conversion script
rtwbuild(model_file_name)
%%
out = system(['python ../run.py ' model_file_n... |
function [ sgolayfiltered ] = savitzkyGolayFilter( ecg_signal )
%A Savitzky–Golay filter is for the purpose of smoothing the data and it
% increases the signal-to-noise ratio without greatly distorting the signal.
order = 3; % order of the polynomial used for smothing
framelen = 11; % frame length
sgolayfiltered = sg... |
% % clear
% % clc
% op = '/Volumes/Data/PX/TAConnect/Demo';
% dp = fullfile(op,'FunImgARCWF');
% % dp = '/Volumes/Data/PX/TAConnect/Demo/FunImgA/';
% para.op = fullfile(op,'TCMatrix');%output path of the time series .mat file.
% para.mn = 'ROI264.nii';
% para.vt = 'r';
% par... |
% Generate data as NxD in the Matlab style, but will tranpose it for DPMM call.
% Just a few well-separated Gaussian blobs.
N = 60;
X1 = vertcat(mvnrnd([-10,-10], eye(2), N/3), ...
mvnrnd([10,10], eye(2), N/3), ...
mvnrnd([0,0], eye(2), N/3));
y = vertcat(zeros(N/3,1), ones(N/3,1), 2*ones(N/3,... |
function G=melp_gain(s,vbp1,p2)
% Оценивание усиления
% ВХОДНЫЕ ПЕРЕМЕННЫЕ:
% s - входной сигнал
% vbp1 - вокализованность первой полосы
% p2 - дробное значение ОТ
% ВЫХОДНЫЕ ПЕРЕМЕННЫЕ:
% G(1) - усиление для первого подкадра
% G(2) - усиление для второго подкадра
k=1;
Ltmp=p2;
Lfr=... |
opts = spreadsheetImportOptions("NumVariables", 11);
% Specify sheet and range
opts.Sheet = "Sample_GENESIS";
opts.DataRange = "A4:K100";
% Specify column names and types
opts.VariableNames = ["VarName1", "Date", "Day", "CourseCode", "Module", "Leads", "Leads1", "Leads2", "SessionSlot", "SessionTime", "Commen... |
function crc = CRC_32_maker(data)
%data_bin_size = 4 * size(data, 2);
data_bin = '';
for i = 1:size(data,2)
dc = dec2bin(hex2dec(data(i)));
for j = 1:4-size(dc,2)
dc = strcat('0', dc);
end
data_bin = strcat(data_bin, dc );
end
%data_bin = dec2bin(hex2dec(data))
%for i = 1:data_bin_size-size(data... |
%this script,load the file salesMetformin.dat
%as salesMetformin.dat file has 2 row, therefor x taking 1st row and y taking
%2nd row, plot it with red star and red line
%labels the x and y axis with given labels
%grid on
load salesMetformin.dat;
x=salesMetformin(1,:);
y=salesMetformin(2,:);
plot(x,y,'r*-')
xlabel('... |
% Creates a matrix of particles with velocities
function velocities = ...
InitializeParticleVelocities(numberOfParticles, numberOfVariables, xmin, xmax)
velocities = zeros(numberOfParticles, numberOfVariables);
for i = 1:numberOfParticles
for j = 1:numberOfVariables
velocities(i,j) = rand * (xmax - xm... |
%Created by Derek Yu 7/5/2019
%Script directly averages a circle and a square
% given descrete x, y values for a circle
period = 1/100;
%create a box
x = [0:period:1, ones(1,101), 1:-period:0, zeros(1,101)];
y = [zeros(1,101), 0:period:1, ones(1,101), 1:-period:0];
%create a circle
tt = (0:length(x)-1).*2*pi./lengt... |
function X = sgplvmInitialiseLatentPointFromShared(model,Xs,index_out,type,N,verbose)
% SGPLVMINITIALISELATENTPOINTFROMSHARED Initialise latent location given observation(s)
% FORMAT
% DESC Initialise latent location for given observation(s)
% ARG model : sgplvm model
% ARG Xs : shared latent location
% ARG index_out ... |
function c = colorbrew( i )
%
% Nice colors taken from
% http://colorbrewer2.org/
%
% David Duvenaud
% March 2012
c_array(1, :) = [ 228, 26, 28 ]; % red
c_array(2, :) = [ 55, 126, 184 ]; % blue
c_array(3, :) = [ 77, 175, 74 ]; % green
c_array(4, :) = [ 152, 78, 163 ]; % purple
c_array(5, :) = [ 255, 127, 0 ]; ... |
% Esta vista recibe como entrada 2 puntos entre los cuales estará el
% conjunto de datos
function inputLayout(file)
% construir la vista
hs = build(150,500);
% mostrar la 'figura' de la vista
hs.fig.Visible = 'on';
% -------------------------subfunciones--------------------------------
% "build"... |
classdef FOR_LOAD < ESTIMATOR_CLASS
properties
state
result
rigid_num
self
end
methods
function obj = FOR_LOAD(self,varargin)
obj.self= self;
if ~isempty(varargin)
if isfield(varargin{1},'rigid_num')
... |
function [ f ] = subject( S )
%SUPERVISION Summary of this function goes here
% Detailed explanation goes here
f = 1:size(S);
f = f';
for i = 1:size(S)
f(i) = str2num(S(i,19:20));
end
end
|
function endpoints = getEndpoints(obj, treeIdx)
%Returns a list of endpoints contained in the tree.
% INPUT treeIdx: Index of the tree of interest in obj.
% OUTPUT endpoints: endpoints (as node idx)
edges = obj.edges{treeIdx};
biEdges = [edges; fliplr(edges)];
leftEdges = biEdges(:,1);
binvec = min(leftEdges):1... |
function y = knn(X, X_train, y_train, K)
%KNN k-Nearest Neighbors Algorithm.
%
% INPUT: X: testing sample features, P-by-N_test matrix.
% X_train: training sample features, P-by-N matrix.
% y_train: training sample labels, 1-by-N row vector.
% K: the k in k-Nearest N... |
function [idx, components_all] = cut_corr_matrix(corr_matrix,data,threshold, threshold2)
if ~exist('threshold2')
threshold2 = 0.9;
end
warning off;
adj = corr_matrix;
% components = sparse(ones(size(adj,1),1));
% if avg_center_gene_corr(data(components(:,1)==1,:))>threshold
% isleaf = 1;
% ... |
function BehavStats=all_behavior(RAWblocks, RAWCued, plot_region, plot_sub_figures, perform_stats, Colors)
%% interspersed vs blocks
%subselect sessions of interest
if strcmp(plot_region,'Both')
RAW=RAWblocks;
else
for i=1:length(RAWblocks)
name=char(RAWblocks(i).Region);
regio... |
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% Copyright 2021, Diogo Costa, diogo.pinhodacosta@canada.ca
% This file is part of WebCrawler tool.
% This program, WebCrawler tool, is free software: you can redistribute it and/or modify
% it under the terms of the GNU General Public Licens... |
function [y]=fun(k,x,Aa,Ab)
% y0=k(1);
A_1=k(1);
t2_1=k(2);
A_2=k(3);
t2_2=k(4);
% y=y0 + (A_1)*(exp(-x./t2_1)) + (A_2).*(exp(-x./t2_2));
y=(A_1).*(exp(-x./t2_1)) + (A_2).*(exp(-x./t2_2)); |
function value = convert2ColumnIndex(columnName)
columnName = upper(columnName);
value = 0;
for i = 1 : length(columnName)
delta = int8(columnName(i)) - 64;
value = value*26+ delta;
end |
function [basis_cell Lfd_cell quadvals_cell, nbasis] = MakeBasis_cell(...
range,norder,knots_cell,nquad,dvalue,lambda0,LFD_pen_order)
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% Adapted from function MakeBasis and spiffed up to hide a for loop which
% gives cell array results for al... |
% shrinkageDemoBaseball
shrinkageDemoBaseballData() % load data
Y = data(:,1);
p = data(:,2);
n = 45;
x = sqrt(n)*asin(2*Y-1); % arcsin transform
d = length(x);
xbar = mean(x);
V = sum((x-xbar).^2);
B = (d-3)/V;
shrunkTransformed = xbar + (1-B)*(x-xbar); % Efron-Morris shrinkage
shrunk = 0.5*(sin(shrunkTransformed/sqr... |
function [ length ] = calcLength()
% function [] = calcLength()
%
% The purpose of this function is to calculate the length of each
% track element in order to calculate the length of the entire track.
%
% input: ----------------------------
%
% output: ----------------------------
%
% Author: Keith Covington
% Rya... |
%{
SHASHWAT SINGH
2017KUCP1054
PROGRAM TO PLOT A UNIT CIRCLE
FILE NAME : shash_circle.m
%}
clc
clear all
close all
aa = 0:0.0001:1;
xx = cos(2*pi*aa);
yy = sin(2*pi*aa);
plot(xx,yy)
title('UNIT CIRCLE')
grid on |
function ONDist = orgNucNormToMaxSelectFrame(orgptloc, posnuc, frames )
% function of normalized organelle to Nucleus distance
% input:
% (1) orgptloc: 1 x n or n x 1 structure with a field xy containing point positions and n =
% frame numbers
% (2) frames: frame indices
% output:
% normIODist: normalized inter-organ... |
function output = quantization(input,s)
l=10^(s);
%output = zeros(size(input));
quan = round(abs(input),s);
randomnoise = rand (size(input)) ;
r = randomnoise < (abs(abs(input)-quan)*l) ;
output = sign(abs(input)-quan) .* r/l +quan ;
output = sign(input) .*output ;
end |
function [LOG_TX,LOG_dev_list,LOG_app_list] = Simulate(ENV_LIST_FILE,NTX,R,C,W,TOTAL_TIME,MAX_ERR,R_MAX,IFACTOR,DFACTOR,INIT_VEL,MAX_ACT_POWER,MAX_APP_POWER,DEVICE_LIST,STEP,...
SHOW_PROGRESS,powerTX,powerRX,B_SWIPT,B_RF,A_RF,N_SWIPT,N_RF,miEnv)
LOG_TX = [];
LOG_dev_list = [];
LOG_app_list = [];
GlobalTime = ... |
%%% cellROI v2
% PURPOSE: Graphical user interface for selecting regions of interest (ROIs) from motion-corrected calcium imaging data.
% AUTHORS: MJ Siniscalchi 181105; based on original version by AC Kwan.
%
%***FUTURE EDITS:
%-Use dispRelFluo function from selectROI() to implement neuropil masks...
%-Allow dispRelFl... |
function output = import_bic_logpx( data )
% Function take in standard .proc files, where models
% check that everything is the same size...
check_1 = [];
check_2 = [];
try
for i=1:size(data,2);
tcheck_1 = [];
tcheck_2 = [];
for j=1:size(data{i},1);
tcheck_1 = [tcheck_1; data... |
function varargout = changeParameters(varargin)
% CHANGEPARAMETERS MATLAB code for changeParameters.fig
% CHANGEPARAMETERS, by itself, creates a new CHANGEPARAMETERS or raises the existing
% singleton*.
%
% H = CHANGEPARAMETERS returns the handle to a new CHANGEPARAMETERS or the handle to
% the exis... |
%function [Kp,Ki,ISTSE] = PSO(it,pop,C)
% Função de Transferência do Processo
clear; clc; close all;
pfinal = [25 10];
% Fator de ponderação
w1 = 0.12;
w2 = 0.88;
% Parâmetros do manipulador
L1 = 10;
L2 = 10;
L3 = 10;
it = 5000;
pop = 500;
best = 0;
n = pop; ... |
function res = JacobiMethod(A,b,x0,n)
% A = M - N, x_n+1 = inv(M)Nx_n +inv(M)b iterate n times
M = diag(diag(A));
N = M-A;
for i = 1 : n
res = M\N*x0 + M\b;
x0 = res;
end
end |
x=map(:,1);
y=map(:,2);
z=map(:,3);
xlin = linspace(min(x),max(x),200);
ylin = linspace(min(y),max(y),200);
[X,Y]=meshgrid(xlin,ylin);
Z = griddata(x,y,z,X,Y,'cubic');
mesh(X,Y,Z);
contour(X,Y,Z,[230:5:340],'ShowText','on');
%plot3(x,y,z,'*'); |
function f = error_nominal_zeta(x)
% Establish the table with Kalman Gain
% x: [Kalman filter, system, weight]'
A = [ x(1), x(2); ...
0, x(3)];
C = [ x(4), 0];
Q = [ 0.0001, 0; ...
0, 0.0001];
R = 0.0001;
K = FeedbackGain(A, C, Q, R);
f = cost_zeta(x(1:4), K, x(5:8), x(9));
end
|
%==========================================================================
% Algoritmo transforma gill-size em que:
% Entrada: Matriz[qtde_Instâncias,1] com valores "b" e "n"
%
% Retorno: Matriz[qtde_Instâncias,2] com valores 0's e 1's de modo que:
% broad (b) = [1 0]
% narrow (n) = [0 1]
%
... |
function [data2, p] = local_fitting_shepard(img_patch, seed_point)
z = get_from_sub(seed_point, img_patch);
sz = size(img_patch);
% seed points cloud
data(:,1) = seed_point(:,2);
data(:,2) = seed_point(:,1);
data(:,3) = z;
% least square method
p2 = 3;
[~, p, error] = least_square(data, p2, 0);
[ri, ci] = ind2sub(s... |
% Daniel Couch
% Jonathan Rice
% solution_graph2.m
% Graphs system for APC, CDK-1
%
function varargout = solution_graph2(varargin)
% SOLUTION_GRAPH2 MATLAB code for solution_graph2.fig
% SOLUTION_GRAPH2, by itself, creates a new SOLUTION_GRAPH2 or raises the existing
% singleton*.
%
% H = SOLUTION_GRAPH... |
%
%@(#) readmast.m 1.1 95/01/25 10:20:08
%
%function vec=readmast(masfil,par_no,type)
%
%par_no is parameter number in CM master files
%type can be I, F, C1 or C2 for Integer, Float resp Char values
%C2 is used to pack values stored in A2 format
function vec=readmast(masfil,par_no,type)
if nargin ~=3,error('Usag... |
%% Calculation of Eigenvalues of Grid/Inverter Impedance Ratio
% ########################################################################
% calculation of eigenvalues of grid/inverter impedance ratio
% Input:
% - [obj] grid parameter
% - [obj] inverter parameter
% - [obj] control parameter
% ... |
function agglos = fromAgglo(agglos, segPos, method, varargin)
% agglos = fromAgglo(agglos, segPos, method, varargin)
% Converts regular agglomerates (i.e., segment equivalence classes)
% into super-agglomerates.
%
% agglos
% Cell array with segment equivalence classes.
%
% segPos
... |
%@(#) sslekrap.m 0.0 11/02/10 00:00:00
%
%
%function ssrap(distfil,utfil,sorton,inv,qspec)
%
%Get CR data from distribution file, calculate, sort and print
%CR depletion parameters. Distributions CRBORO, CRTBOR, CREXPO
%and CRTEXP need be present in the distribution file to be read.
%Output data matches that of... |
% a improved edgelink version by Xg Wang (mailto: wxghust@gmail.com)
function [list2] = imlink(bw, radius, mincurv)
if nargin == 1
radius = 5;
mincurv = 0.6;
end
elist = edgelink(bw);
recorder = [];
curv_map = zeros(size(bw) );
for n = 1:length(elist)
pnts = elist{n};
recorder = [recorder; [n, 1]... |
% Aggregate weights and plot beam patterns
close all;
clearvars;
addpath ../kernel/
scan_table; % Found in kernel directory
tic;
% % AGBT16B_400_04 Grid %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
session = AGBT16B_400_04;
% Sources: B1929, B1933, B1937
on_scans = [25, 27, 28];
on_tstamp = session.scans(on_scans);... |
% ----------------------------------------------------------------- %
% Matlab Programs included the Appendix B in the book: %
% Xin-She Yang, Engineering Optimization: An Introduction %
% with Metaheuristic Applications %
% Published by John Wiley & Son... |
function [MZOut, matchNames] = AAmatcher(deltaMZ, mz_list, combNames, combMasses)
pos = 1;
MZOut = zeros(length(combNames),2);
matchNames = {};
for i=1:length(deltaMZ(1,:))
for j=1:length(deltaMZ(1,:))
if i~=j
match = find(combMasses >= deltaMZ(i,j)-0.1 & combMasses < deltaMZ(i,j)+0.1);
... |
function kno_pet_anova
close all hidden
clear all
ourdata;
function ourdata
p = 'E:\Backup\Nifti\';
cd(p)
[N,T] = xlsread('subjectdates.xlsx');
id = N(:,1);
dates = T(2:end,10:14);
ndates = size(dates,2);
nsub = numel(id);
files = struct([]);
for ii = 1:nsub
for jj = 1:ndates
dat = date... |
function [theta, J_history] = gradientDescentMulti(X, y, theta, alpha, num_iters)
%GRADIENTDESCENTMULTI Performs gradient descent to learn theta
% theta = GRADIENTDESCENTMULTI(x, y, theta, alpha, num_iters) updates theta by
% taking num_iters gradient steps with learning rate alpha
% Initialize some useful values
... |
%===============================================
% Bruce Land -- Cornell University -- Oct 2010
%===============================================
% input format:
% ;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
% `define
% symbol1 value1 (value in decimal)
% symbol2 value2
% ...
% ;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
% `d... |
clear all ; close all ;
cd c:/shared/lastute ;
subs=dir('*') ;
subs(1:2) = [] ;
for s=1:length(subs)
cd(['c:/shared/lastute/',subs(s).name]) ;
t1 = load_untouch_nii('t1_in_ute.nii.gz') ;
EEG = pop_loadset('C:\shared\badger_eeg\alex\1hz_preproc_retino_allstims_01_Pulse Artifact Correction.se... |
function seq=reverseseq(x)
m=length(x);
for i=1:m
seq(m-i+1)=x(i);
end
|
function [sharpened_output_image] = unsharp_masking(in)
out = in;
[row,col] = size(in);
%original image display
figure,imshow(in);
title('Original Image');
%smoothing image
smooth_image = imgaussfilt(in,2.5);
figure,imshow(smooth_image);
title('Smooth Image');
%original image - smoothed image to get unsharp mask
uns... |
function import_angles_cback(~,~,main_figure)
layer=get_current_layer();
curr_disp=get_esp3_prop('curr_disp');
[trans_obj,idx_freq]=layer.get_trans(curr_disp);
list_freq_str = cellfun(@(x,y) sprintf('%.0f kHz: %s',x,y),num2cell(layer.Frequencies/1e3), layer.ChannelID,'un',0);
[select,val] = listdlg_perso(main_figu... |
function [MLCframe]=CreateMLC_highLevelFunction(frame,borderMask,args,noise_array)
Mask=CreateMasks(frame,borderMask);
squishedFrame=SquishHistogram(frame);
Edgeimage=MultiLayerCanny(squishedFrame,args);
Edgeimage=Edgeimage.*Mask;
%imshow(Mask)
tiledNoise=Create_tile_for_Noise(noise_array,borderMask);
tiledN... |
% Função RBF
% Parametro da função(Padrão de treinamento, Saída desejada,Núméro de centros)
function [G,W] = RBF_N(entrada, saida,numcentros)
tamanho = size(entrada,1);
centros = entrada;
% Faz o calculo da distancia entre os centros
soma = 0;
for i = 1 : numcentros
distancias = zero... |
classdef SimulatorUtilitiesTest < matlab.unittest.TestCase
%SIMULATORUTILITIESTEST Summary of this class goes here
% Detailed explanation goes here
properties (Constant)
simConstructorArgs = {'127.0.0.1:1234','debug',true}
end
methods (TestClassSetup)
function a... |
MatFiles=dir('*analysis_matlab.mat');
name=strcat(MatFiles(1).name);
Calcium=load(name, 'DenoisedTraces');
Calcium=Calcium.DenoisedTraces;
MatFiles(1).number=size(Calcium,1);
Noise=load(name, 'Noise');
Noise=Noise.Noise;
for i = 2:length(MatFiles)
name=strcat(MatFiles(i).name);
C=load(name, 'DenoisedTraces');
... |
function evaluated_video()
task=5; %Select the task that you want to compute
global_path='./';
groundtruth_path='groundtruth_1/';
groundtruth_path_old='groundtruth/';
groundtruth_name='gt';
input_path='input_1/';
input_path_old='input/';
input_name='in';
sequence_db=struct;
... |
%%
clc;clear;close all
s = [1 1 1 2 2 3];
t = [2 3 4 3 4 4];
weights = [6 6.5 7 11.5 12 17]';
code = {'1-44__1-3' '1-49__1-34' '1-49__1-34' '1-49__1-34' '1-49__1-34' '1-49__1-34'}';
EdgeTable = table([s' t'], weights, code, 'VariableNames', {'EndNodes' 'Weight' 'Code'})
names = {'USA' 'GBR' 'DEU' 'FRA'}';
country_co... |
function [qd, par_out] = ec_6dof_terr(q, ptv)
% Patrucco, 2021
% 6-DOF model of a vehicle (plus 4 for wheel speeds and pos)
% includes variable height terrain
% in subsequent releases, both the terrain handle function and vehicle
% parameters should be supplied through additional arguments.
% q: 12 x 1 (6 free coordin... |
% reset_data_analysis_environment
close all
REINIT_ALL_TOKAMAK_DATA=1;
if REINIT_ALL_TOKAMAK_DATA==1
clear all
initialize_folder_names;
initialize_collapse_map_calculation_context
rescaling_to_XZsmall_maps
DT_INTERPOLATION_METHOD='quadratic' % by default
CALCULATE_VD_DATA_FILE=0;
end
PHI_... |
% CenterClipperTemplate.m
%% load speech signal and play it
[y,Fs]=audioread('speech_fem_4.wav');
z=[zeros(44100,1); 2*y(1:211733); zeros(44100,1); 2*y(211734:end) ; zeros(44100,1)];
N=length(z);
player = audioplayer(z, Fs);
playblocking(player);
%% add white noise
z=z+0.04*(rand(N,1)-0.5);
%% play noisy signal... |
% MCLPCLC.M
% Called by mclcm / rf pulse calc
% Script for generating new b1
% Calls mclpmb1 for actual b1 calc
% turn off V / C **********
set(mcltxtvp, 'String', '') ;
% Turn on rel v / pwr calc and replot ********
set(mcluivp, 'Visible','on') ;
set(mcluirpl, 'Visible','on') ;
% Reduce nofp if zeropadding called f... |
%%
% Frizziero
%
% angles: angle of arrival of the wawe (azimut, elevation).
% lambda: wawelength.
% ant_pos: array [M x 1] containing the (x,y,z) position of each antenna (that are M in total)
% expressed in wawelengths.
%%
function [w] = compute_BF_vector2(angles, lambda, ant_pos)
sigma_noise = 0.01;
th... |
function [parout,output,jacobian,residual] = fit_Model(X0,X1,time,guess)
Q=X0(1,:);
R=X0(2,:);
D=X0(3,:);
Npop=X1(1);
E0=X1(2);
I0=X1(3);
p = inputParser();
p.CaseSensitive = false;
p.addOptional('tolX',1e-12); % less tolerance for
p.addOptional('tolFun',1e-12); % option for optimset
tolX = p.Results.to... |
function tex_to_text(~)
%make sure your current folder is the same where your files are present
FileList = dir('*.Tex');
N = size(FileList,1);
for k = 1:N
filename = FileList(k).name
% tex_file = input('Enter your TEX file name having orientation of grains in apostrophe(''odf.tex''):-... |
function Xn = ReSampleCurve(X,N)
%% Resamples X to N points (arc-length parameterized)
%% Inputs
% X = two-dimensional curve
% N = # of discretization points desired
%% Outputs
% Xn = resampled curve of X with N points
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
[d,T] = size(X);
... |
[config core] = kernel('amp_tran1.txt', 2, 1, 4, 6);
|
close all
clear
expNames = { 'Exp_100x100x30',...
'Exp_200x100x30',...
'Exp_300x100x30',...
'Exp_200x100x66',...
'Exp_300x100x66',...
'Exp_200x100x100',...
'Exp_300x100x100'};
colors = { [11 171 224],...
[0 114 201],...
[11 51 212],...
[214 100 11],...
[227 4... |
function [H, Inp] = design_rbf(X, C, R)
% [H, Inp] = design_rbf(X, C, R)
%
% Gets the design matrix from the input data, centre positions
% and radii factors.
%
% Input
% X Input training data (n-by-p)
% C List of centres (n-by-m)
% R Scale factors: scalar, n-vector, or n-by... |
function GU_ExM_JaneliaCluster_ExtractDANassociatednc82_stitchedData(ex)
% Gokul Upadhyayula, Nov 2017
se = strel('sphere', 7);
ex = str2double(ex);
fprintf('calculating file names...'); tic
% get file names
mx = 15055;
my = 27964;
% mz = 6647;
matRT = '/groups/betzig/betziglab/4Stephan/171016_Flybrainsynapse/';
% n... |
close all
clc
figure;
ROWS = 10;
COLS = 10;
k =1;
for n = 1:9
filename = strcat(strcat('/home/omkar/Documents/cvpr_cc_', num2str(n)), '_to_all') ;
data = load(filename);
for p = 0:9
digit = function_get_digit(data, n, p);
subplot(ROWS, COLS, k);
imshow(digit, []);
k = k +1;
end
end |
for j=0:1
x=(pi/10) + (0.01*i);
for i=1:2
[e,y]=saufg(2*i,5000,x);
figure(i+(2*j))
plot(y);
end
end
|
% clear all;
clear;
close all;
clc;
dbstop if error;
current_tests=[ pwd '/current_tests' ];
fct = genpath([ pwd '/functions' ]);
mains = [ pwd '/mains'];
addpath(pwd)
addpath(fct)
% addpath(stk_folder)
addpath current_tests mains stk-2.3.4;
% stk_init;
clear current_tests mains fct
home;
% try
% pdeinit
% end |
function data = formatData(data1,hints)
% Copyright 2012 The MathWorks, Inc.
% Dimensions
data.Q = data1.Q;
data.QAligned = hints.QAligned;
data.TS = data1.TS;
emptyGPUArray = nndata2gpu([],hints.precision);
% Simulation Data
if isa(data1.X,'gpuArray')
data.X = data1.X;
data.Xi = data1.Xi;
data.Ai = data1.Ai;... |
classdef DataFieldType
enumeration
UnspecifiedField
ScalarField
StringField
NumericVectorField
StringArrayField
DateField % stores a date/time, in string representation
DateNumField % stores a date/time, in numeric datenum() representation
end
end... |
function obj = solveApertureHeight(obj, f_number, full_field_angle)
% SYNTAX
% sys.solveApertureHeight(f_number, full_field_angle)
% Parse input arguments
parser = inputParser;
parser.FunctionName = 'solveApertureHeight';
parser.addRequired('FNumber', @(x) isscalar(x));
parser.addRequired('Field', @(x) isscalar(x));... |
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