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function result = snap_images(suffix)
colorDevice = imaq.VideoDevice('kinect',1);
depthDevice = imaq.VideoDevice('kinect',2);
% Initialize the camera.
step(colorDevice);
step(depthDevice);
% Load one frame from the device.
colorImage = step(colorDevice);
depthImage = step(depthDevice)... |
function [F] = LikelihoodDart(yi,yj)
global data;
global likelihoodRecord
global etchRecord
%change this back to unknown noise parameter eventually
lh = normpdf(yi,yj);
F = lh;
|
function [elevations, times, normlift, normdrag, normlinetension] = kite(length, V, m, S, rho, elevation0, AoKdeg, n, duree,omega0)
% Cette fonction d�termine l'angle entre la ligne du kite et le sol en fonction du temps -> trajectoire du kite
% Cette fonction a pour param�tres d'entr�e :
% length : longueur de li... |
%Find spindles with Peaks. Not YASA.
%% Find location
close all
clear variables
dname=uigetdir([],'Select folder with Matlab data of trial');
cd(dname)
%%
%Band pass filter design:
fn=1000; % New sampling frequency.
% Wn1=[100/(fn/2) 300/(fn/2)]; % Cutoff=100-300 Hz
% [b1,a1] = butter(3,Wn1,'bandpass'); %Filter coef... |
function [cloud] = readl2std_cloud(fn,iatrack,ixtrack);
% function [cloud] = readl2std_cloud(fn,iatrack,ixtrack);
%
% Reads an AIRS level 2 Standard retrieval granule file and returns
% a structure containing the full 3x3 two cloud retrieval info for
% each specified AMSU FOV.
%
% Input:
% fn = (string) Name of an... |
function [center_by_min] = find_center_by_minimum(x,y,z,pseudo2_matrix,xr_plot,yr_plot,zr_plot)
% calculate the center point of pseudo potential matrix by finding minimum
%% calculate a new matrix by interpration
[xq,yq,zq]=meshgrid(linspace(xr_plot(1),xr_plot(2),xr_plot(3)+1),linspace(yr_plot(1),yr_plot(2),yr_plo... |
function ff = profile_(snd)
croped_data1
end |
load may30/lcmlog_2012_05_31_01.mat
plotLogsXhat
figure(25)
clf
plot(x,y,'bo');
hold on
load may30/lcmlog_2012_05_31_03.mat
plotLogsXhat
figure(25)
plot(x,y,'ro')
axis([-1 5 -pi/2 pi/2]) |
function [Temp_User_1, Temp_User_2, Temp_User_3] = Mutation(User_1, User_2, User_3, Fixed_Devices)
Temp_User_1 = mut_process(User_1, Fixed_Devices);
Temp_User_2 = mut_process(User_2, Fixed_Devices);
Temp_User_3 = mut_process(User_3, Fixed_Devices);
function Temp = mut_process(obj, Fixed_Devices)
Peak = [8 9 15 19... |
%% Stelling 11
%
% De input van een functie kan alleen een vector zijn.
%
Antwoord = NaN; % vul hier het juiste antwoord in 1 (WAAR) of 0 (ONWAAR)
|
function [ elipllical_sturct ] = ...
Cross_sectional_FWHM_SL( input_parameters )
%This is to perfrom the ray casting measurents - the input is in a sturct
% as
% input_parameters
% input_parameters.cross_sectional_image
% input_parameters.rays
% input_parameters.center
% input_parameters... |
function JacDotTimesVel = computeRevoluteJacobianDotV(ui, vi, vj, pose, velocity, acceleration)
% computeRevoluteJacobianDotV computes numerically \dot{Jacobian} * velocity
% Based on the formula:
% \dot{f} = J * v,
% \ddot{f} = \dot{J} * v + J * \dot{v}, we then have
% \dot{J} * v = \ddot{f} - J * \do... |
function [J_cost_all, J_const_all, param] = calc_inverse_gradients(feature_opt, c_gen, param)
% pull out knots from the traj, then generate a spline-based traj from that
q_opt_knot = feature_opt.q(:, param.intermed_ind);
% param.spline_fit = calc_inverse_spline(y_opt_knot, param); % these spline calc includes +\- h
% ... |
%STDP Function
%by Jonathan Gornet and DLevenstein
%Last update: 4/8/2018
%INPUTS
% W Weight Matrix
% times Time when cell last spiked
% tau "Targetted" spike rate
% n Learning rate
function [W,L] = STDP(W,x,n)
L = [];
for ii = 1:length(W(:,1))
Windex = find(W(ii,:) ~= 0);
W(Win... |
% Test Cases:
% fourEverAlone('brian.png');
% fourEverAlone_soln('brian.png');
match1 = checkImage('brian_Alone.png','brian_Alone_soln.png');
% Output image(s) should be identical to that produced by solution file
%
% fourEverAlone('pepe.png');
% fourEverAlone_soln('pepe.png');
match2 = checkImage('pepe_Alone.png','... |
classdef waitAtTheBar
%waitAtTheBar A tiny wrapper around waitbar in class form.
%
% MIT License
%
% Copyright (c) 2018 Michael Breuer
%
% Permission is hereby granted, free of charge, to any person obtaining a copy
% of this software and associated documentation files (the "Software"), to deal
% in the Software withou... |
function [ air, shum, level, grid ] = narr_import( date )
%NARR_LOAD Loads NARR Reanalysis date, downloads if not available locally
% Read in netCDF date from Reanalysis
% Using NARR Reanalysis 3-hour date: http://www.esrl.noaa.gov/psd/date/gridded/date.narr.html
% ftp://ftp.cdc.noaa.gov/datesets/NARR/pressure/
%... |
function shrinkedToolPaths = shrinkToolPaths(self, toolPath, shrinkLength)
alighedToolPath = self.alighToolPaths(toolPath);
for i = 1:size(alighedToolPath, 1)
currentPaths = alighedToolPath{i, 1};
currentPaths = shrinkTop(currentPaths, shrinkLength);
currentPaths = shrinkEnd(currentP... |
%% See page 364 of
% Higham, D. J. (2008). Modeling and simulating chemical reactions.
% SIAM review, 50(2), 347-368.
% ODE15s solution the Reaction Rate Equation for
% the Michaelis-Menten system.
%
% Parameters from Chapter 7 of
% Stochastic Modelling for Systems Biology,
% by Darren J. Wilkinson, Chapman & Ha... |
% Muestra las gráficas de los distintos pesos utilizados. Es necesario
% cambiar las primeras líneas de código para elegir la tabla de datos a
% graficar
load Peso1.txt
load Peso2.txt
load Peso3.txt
load Peso4.txt
Fs=20000;
Biceps=Peso1(:,1); %Se modifica "Peso1" por cualquier .txt
Triceps=Peso1(:,2); %Se modifica "P... |
function [RFRadius, nSpikesLog] = findRFRadius(dio, RF, stimScreen, stimWin, WHICHRIG)
%Procedure to find the receptive field size after finding the x and y
%midline locations. Procedure described in supplemental materials in
%Bollinger and Gollisch, 2011 (Neuron)
% Eric Trautmann - etraut@stanford.edu... |
function [ hfig ] = plot_delta_tau_mix( pricer , tau )
%PLOT_DELTA_TAU 画delta~tau的图
% ---------------------
% 沈杰，20160124
% 吴云峰，20160301，使用Copy的结果进行作图
% 吴云峰，20160316，按照刚哥的center取点的方法进行计算和hFig的输出判断方法
%% 预处理
% TODO: 相关预处理
% 在copy上面进行研究
copy = pricer.getCopy();
%% 作图程序
% 横轴tau默认值
if ~exist( 'tau' , 'var' )
longend... |
function x = perform_saturation(x,tau,use_mad)
% perform_saturation - saturate a vector for better contrast
%
% x = perform_saturation(x,tau,use_mad);
%
% tau (around 1) is the saturation factor
%
% copyright (c) 2007 Gabriel Peyre
if nargin<2
tau = 1;
end
if nargin<3
use_mad = 1;
end
tau = 2;
x = x-me... |
function rectangle = points2rect(points)
if (min(size(points)) == 1)
x = points(1:2:end);
y = points(2:2:end);
else
x = points(1, :);
y = points(2, :);
end;
x1 = min(x);
y1 = min(y);
x2 = max(x);
y2 = max(y);
rectangle = [x1, y1, x2 - x1, y2 - y1];
|
clear;clc
x=7;
y=8;
[a,b,c]=ML_ch08_func10(x); %輸入引數只有一個，就讓a2=0
disp(a) %x+y
disp(b) %x-y
disp(c) %(x+y)/2 |
% Aproksimirati funkciju f(x) = x^2*sin(x) polinomom 3. stepena na intervalu [-pi, pi].
f = @(x) x.^2 .* sin(x);
a = -pi;
b = pi;
% Odabrati i nacrtati potreban broj tacaka funkcije f(x) za aproksimaciju polinomom 3. stepena.
x = linspace(a, b, 4);
fX = f(x);
scatter(x, fX); hold on
% Lagran�ovom interpolacij... |
function out = fnta(X, r, opt)
%
% function out = fnta(X, r, opt)
% Solve 3D nonnegative tensor decomposition.
%
% X -- Input tensor. 'ktensor' for 3D Nonnegative PARAFAC,
% 'ttensor' for 3D Nonnegative Tucker.
% r -- Rank of the approximation. r \in R for 3DNPARAFAC,
% ... |
function [tex] = TransformCh(obj,img)
%TrandformCh Summary of this function goes here
% Detailed explanation goes here
dir = img(obj.mask1) * obj.alpha_pi;
dir2 = 2*dir;
nx = cos(dir);
ny = sin(dir);
nx2 = cos(dir2);
ny2 = sin(dir2);
tex = [nx + 1j*ny;nx2 + 1j*ny2] / (2*obj.n_face_pixels1).^(1/2)... |
%% This function performs window match by means of Census transform.
% The aggregation is performed by means of integral to calculate the sum of
% rectangular area.The window size is adaptive
% The cost function is based on hamming distance and a penalty on small window.
function [D1,D2,C1] = Census_WM_adp(I1, I2, ws,... |
function [vsigg, marrow, msiggloc] = sss2gradSM(data,h,pixpar,ess,sig2,alpha,idatyp)
% SSSGRAD, Function for SSS2, this gets arrow matrix for significant gradient
% First does 1st partials of Gaussian convolution smoothing
% Then does test of significance
% Finally gets info for plotting arrows
% Steve M... |
function [Qfp, x_stencil, y_stencil, c1, c2, c2b] = Interpolate_Fluid_To_Particle(N0, N5, M0, M5, NV, Index,...
Order, Xp, Yp, dx, dy, x, y, Q)
[x0, x1, y0, y1, cx, cy] = ENO_Interpolation_Setup(N0, N5, M0, M5, Order,...
x, y, dx, dy);
[c1 c2 c2b] = Divided_Differences(N0, N5, M0, M5, x, y, Q, Inde... |
function [vals, xbar_vals] = process_lr_image(img_file, xbar_vals, ytick_vals, rotang, showfig)
% Set defaults
if ~exist('rotang','var'), rotang = 0; end;
if ~exist('showfig','var'), showfig = false; end;
% Read image
[img,orig_img] = scrub_image(img_file, rotang);
pixfact = size(orig_img,... |
function setActivePoints(source,~)
h = guidata(source);
gui = guidata(h.guifig);
time = gui.ctrl.slider.Value;
frnum = floor(time*gui.data.annoFR)+1;
gui.data.tracking.active(frnum:end) = {1:str2num(source.String)};
gui.data.tracking.inactive(frnum:end) = {str2num(source.String)+1:1e3}; %gonna... assume you... |
clc;
load GAF_Energy.mat EnergyPerRound;
A1=EnergyPerRound;
load GBP_Energy.mat EnergyPerRound;
A2=EnergyPerRound;
load BCDCP_Energy.mat EnergyPerRound;
A3=EnergyPerRound;
load GAF_LiveNode.mat AliveNodesPerRound;
DT_C=AliveNodesPerRound;
load GBP_LiveNode.mat AliveNodesPerRound;
GEAR_CC=AliveNodesPerRound;... |
function PR = radon(IMG, THETA)
%% This MATLAB function takes an image matrix and vector of angles and then
%% finds the 1D projection (Radon transform) at each of the angles. It returns
%% a matrix whose columns are the projections at each angle.
%%
%% Written by : Justin K. Romberg
% pad the image with zeros so we... |
function RSS = AMIGO_RSS( sim_data,exp_data,iexps)
%RSS = AMIGO_computeRSS( sim_data,exp_data,...) Computes the residuals sum of squares.
%
% RSS = AMIGO_computeRSS( sim_data,exp_data,iexp)
% sim_data: matrix or cell array of matrices containing the simulated
% data. sim_data{iexp} contains the data f... |
function dt = logistic(t,n)
r = 0.1;
k = 100;
dt(1) = r*n*(1-n/k);
end |
function [T_ow] = PositionObject()
%PositionObject
%Defines a 4x4 homogenous transformation that places an object
%in space at a random location in world coorinates and at a
%random orientation. T_ow means T:O->W i.e. the transformation
% of Points in object coordinates into Points in World Coordinates.
T_ow = zero... |
// Belyi maps downloaded from the LMFDB on 03 August 2020.
// Magma code for Belyi map with label 6T1-6_6_1.1.1.1.1.1-a
// Group theoretic data
d := 6;
i := 1;
G := TransitiveGroup(d,i);
sigmas := [[Sym(6) | [2, 3, 4, 5, 6, 1], [6, 1, 2, 3, 4, 5], [1, 2, 3, 4, 5, 6]]];
embeddings := [ComplexField(15)![1.0, 0.0]];
... |
clc;
clear all;
img = imread("C:\Users\DELL\Desktop\Important\DIP\Lab_exp\cameraman.jpg");
img = rgb2gray(img);
imshow(img);
title("Home sweet home");
%sobel operator
z=edge(img,'sobel');
figure;
subplot(1,2,1);
imshow(z);
y= edge(z,'sobel',0.2);
subplot(1,2,2);
imshow(y);
title('Sobel filtered image');... |
function [PER, PEB, v_gray, pred_R, pred_B, cost_RB] = getPEs(Gray, img)
warning off;
% % addpath images\;
% img=imread('lena.png');
R = double(img(:, :, 1));
B = double(img(:, :, 3));
% % G=double(img(:,:,2));
[ht, wd] = size(Gray);
temp_dif_R = zeros(1, round(ht * wd / 2));
temp_di... |
function x = chebyshev_zeros ( n )
%*****************************************************************************80
%
%% CHEBYSHEV_ZEROS returns zeroes of the Chebyshev polynomial T(N)(X).
%
% Discussion:
%
% We produce the Chebyshev zeros in ascending order.
%
% Licensing:
%
% This code is distributed under t... |
function [count] = GetRgbHist(filename)
%GetRgbHist---获取图像直方图
%filename-----图像文件名或图像绝对路径
%count--------图像直方图
% info = imfinfo(filename);
% I = imread(filename);
[N1,N2] = size(filename);
%info.BitDepth=24时计算的是RGB图像，否则是灰度图。
% if info.BitDepth == 24
[count1,x] = imhist(filename(:,:,1)); %计算R通道的直方图
[count2,x] ... |
function data_process_nii_2_mat(filePath, savepath)
% data processing normalization and histgromatching
%
% filePath = '/media/liangqiong/Data/liangqiong/Research/DeepLearning/Demo/Dataset/Orig_15/3T7T-Data/'
% savepath = '/media/liangqiong/Data/liangqiong/Research/DeepLearning/Demo/WATNet/matlab/demo/data_processing/... |
lis = [10, 12, 18, 21, 22, 29, 33, 37, 41, 42, 43];
PatientsData = ModelFeatures(lis);
for i = 1:length(lis)
PatientsData(i).brain_pos = ModelData(lis(i)).brain_pos;
PatientsData(i).brain_neg = ModelData(lis(i)).brain_pos;
PatientsData(i).pos_idx = ModelData(lis(i)).pos_idx;
PatientsData(i).neg_idx = Mo... |
clear;
clc;
close all;
data = readtable('iris.txt');
data.Properties.VariableNames{1} = 'sepal_length';
data.Properties.VariableNames{2} = 'sepal_width';
data.Properties.VariableNames{3} = 'petal_length';
data.Properties.VariableNames{4} = 'petal_width';
data.Properties.VariableNames{5} = 'species';
x1 = t... |
function [ SavedW ] = eulrig( I_in, W_in )
%RIGID2 Simulates rigid body motion
% displays plot showing the location of the angular velocity vector
% in a frame fixed in the rotating body
I1 =I_in(1); I2 = I_in(2); I3 = I_in(3);
I = [I1; I2; I3;]; % we only need diagonal terms
% set up initial conditions
W = W_in; ... |
function [shift_y shift_x] = overlapBF(image_label,start_frame,end_frame,exclude_y_top,exclude_y_bot,exclude_x_left,exclude_x_right,show_plots,saveplot)
%
% Isabel Llorente-Garcia: August 2011.
% If you use this code please acknowledge Isabel Llorente-Garcia in your
% publications.
%
% For Bright Field Images, to find... |
%% Q3.a)
% Read audio file .wav
[x,Fs] = audioread('hw1_echo.wav');
sound(x,Fs);
% Compute autocorrelation sequence
[acorrX,lagX] = xcorr(x(:,1),x(:,1));
% Plot autocorrelation function
figure(1)
plot(lagX,acorrX,'LineWidth',2.5)
xlabel('Lag');
ylabel('Sample Autocorrelation');
title('Autocorrelation fu... |
clear;
A = [1 2; 3 4; 5 6];
B = [1 2 3; 4 5 6];
A = magic(4)
A(:,1:2)
A = magic(10)
x = [1; 2; 3; 1; 2; 3; 1; 2; 3; 1]
v = zeros(10, 1);
for i = 1:10
for j = 1:10
v(i) = v(i) + A(i, j) * x(j);
end
end
% v = A * x is correct
v = [1 2 3 4 5 6 7] % column vector
w = [11 12 13 14 15 16 17] % column vector
z ... |
function [J, grad] = costNN(params_rn, num_attribs, nodos_ocultos, num_etiquetas, X, y, lambda)
% Capturar las matrices de pesos originales
Theta1 = reshape (params_rn(1:nodos_ocultos * (num_attribs + 1)), nodos_ocultos, (num_attribs + 1));
Theta2 = reshape (params_rn((1 + (nodos_ocultos * (num_attribs + 1))):end... |
% snesim : runs snesim with parameter file or snesim structure
%
% Call :
% snesim('snesim.par');
%
% S=read_snesim('snesim.par');
% S.nsim=10;
% snesim(S)
%
% S=snesim_init;
% S.nsim=10;
% snesim(S)
%
% %%
% S=snesim(S,1:1:10,1:1:10,1);
%
%
% Source code for SNESIM can be downloaded here:
% https:/... |
function eta = funcFit_Arrhenius(parasNum, T, constNum)
% funcFit: Arrhenius
% temperature - degC
eta_0 = constNum(1);
T_0 = constNum(2);
eta = eta_0 * exp(parasNum(1)/8.314*(1./(273.15+T) - 1/(273.15+T_0)));
end
|
function ShowBandLU(A,p,q)
% function ShowBandLU(A,p,q)
% Illustrates band LU of a matrix A that has an LU factorization and
% lower bandwidth p and upper bandwidth q.
% A call of the form ShowBandLU() generates a random 7x7 example
% with lower bandwidth 2 and upper bandwidth 3.
if nargin==0
p = 2;
q... |
% $Id$
wtf = 0;
if wtf
fid = fopen( 'gksvd.log', 'w' );
else
fid = 1;
end;
tol = 1e-10;
fprintf( fid, 'TEST GKSVD\n' );
fprintf( fid, 'We compute singular values of a test matrix using the MATLAB svd(),\nand then using our implementation of' );
fprintf( fid, 'the Golub-Kahan SVD algorithm,\nand display the... |
%% Frequency-Bessel Method
r0 = 50;
dz0 = 2.5;
inum = 50;
x = r0+dz0:dz0:r0+dz0*inum;
x = x * 1000;
v = linspace(3.5,5.5,100);
v = v * 1000;
tmax = 140;
t = Uz(:,1);
data = Uz(:,2:end);
r0 = zeros(1,2048);
[I,f] = freq_bessel_trans(data,x,t,v,r0); |
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% Copyright 2018 Crypto4a Technologies Inc.
%
% Permission is hereby granted, free of charge, to any person obtaining a
% copy of this software and associated documentation files (the "Software"),
% to deal in the Software without restriction,... |
% 计算lambda
% 需要已知 u v w p q r v_1 v_2 delta_l,u
u_H1B1 = u+z_H1*q - y_H1*r;
v_H1B1 = v+x_H1*r - z_H1*p;
w_H1B1 = w+y_H1*p - x_H1*q;
u_H2B2 = u+z_H2*q - y_H2*r;
v_H2B2 = v+x_H2*r - z_H2*p;
w_H2B2 = w+y_H2*p - x_H2*q;
V_H1B1 = [u_H1B1;v_H1B1;w_H1B1];
V_H2B2 = [u_H2B2;v_H2B2;w_H2B2];
V_H1H1 = L_H1B1 * V_... |
clear;
tic;
d = 50; % In km
lambda_l = 10; % Density of point process along the axes that gnnerates lines
lambda_c = 0.5; % Density of points points/km (1 per km)
num_iterations = 100000;
% INITIALIZING VARIABLES
min_dist_d1(num_iterations) = 0;
min_dist_d2(num_iterations) = 0;
min_dist_x1(num_iterat... |
function [inds]=getpoints(linenum,pointlist,except)
if~(exist('except','var'))
except=0;
end
inds=[];
len=length(pointlist);
for i=1:len
if( (~isempty(find(pointlist(i).lines==linenum, 1)))&& ...
(isempty(find(pointlist(i).lines==except, 1))))
inds=[inds i];
end
end
end |
%% Execute this to perform the experiments shown in
%% Bradley, Hülse, LaRowe, Arndt (2022, NatComms)
%% plot boundary conditions
plot_BC_MS
%% Run global analysis and create summary output folders
% default values for porosity and sedimentation rate
SA_value = 1.0;
[res, BE_depth, Flux_depth, Total_burial_depth, T... |
function [im1, gt1, prev_mask1, bg1, im2, gt2, prev_mask2, Flow_B, Flow_F]= lucid_dream(img,gt,consequent_frames,bg)
% Input:
% img - image
% gt - ground truth segmentation mask
% Output:
% im* - synthesized image (im1, im2)
% gt* - synthesized mask (gt1, gt2)
% prev_mask* - synthesized previous ... |
function this = redate(this, oldDate, newDate)
% redate Change time dimension of time series.
%
% Syntax
% =======
%
% X = redate(X, oldDate, newDate)
%
% Input arguments
% ================
%
% * `X` [ tseries ] - Input time series.
%
% * `OldDate` [ numeric ] - Base date that will be converted to a n... |
%% Calculate daily GPP using MODIS algorithm; Plot comparison between MODIS GPP (algorithm & satellite) vs. EC GPP
% MOD17a1
% GPP (g C m-2) = LUE_max * 1e3 * Rshort * 86400 * 1e-6 * 0.45 * fAPAR * Tmin_SCALAR * VPD_SCALAR
clear all
load('HF_2013_GPP.mat','gpp_day');
%GPP Data from MODIS
%Integrate 8-day GPP EC data... |
%%
global mSerial1;
mSerial1 = serial('COM4');
set(mSerial1, 'BaudRate', 9600);
mSerial1.BytesAvailableFcn = @(handles, eventdata)update_ft(hObject, ...
eventdata);
mSerial1.BytesAvailableFcnCount = 57;
mSerial1.BytesAvailableFcnMode = 'byte';
%%
fprintf(mSerial1, '%s', 'QS\r');
%%
function update_ft(hObject, ... |
%Problem2b
clear
clc
dt = 0.01;
et = 2;
x = 0:dt:et;
y = x.^0.5;
plot(x,y,'g'); |
function [c,ceq] = pdfcon(x)
N = length(x);
vec = 1:N;
c = -[sum(x.*vec.^2) - sum(x.*vec)^2 ]/N + 0.75; %%%% -x <=0
ceq = sum(x) - 1;
return;
|
function phi = compute_phi(n,g_prime,t0)
% Computes the exact solution of the time-domain boundary integral equation
% S\phi=g on the unit sphere and for special right-hand sides g.
%
% Input arguments:
% n: For n=0 we have g(x,t)=g(t) a purely time-dependent right-hand side.
% For n=1 we have g(x,t)=g(t)Y_1... |
function varargout = statsGUI(varargin)
% STATSGUI M-file for statsGUI.fig
% STATSGUI, by itself, creates a new STATSGUI or raises the existing
% singleton*.
%
% H = STATSGUI returns the handle to a new STATSGUI or the handle to
% the existing singleton*.
%
% STATSGUI('CALLBACK',hObject,eventDa... |
function [output] = acyclic(graph)
% Summary of this function goes here
% Detailed explanation goes here
output = True;
end
|
classdef Solver
%SOLVER Solver class
% Solves a specific control problem, given objects of both the CTRL_Prob and the GP_Prob classes.
% Supports: mixedHinfsyn
% TODO: conversion of mimo to MISO or SIMO
properties
method = 'none'; % Solver to use: mixedHinfsyn, compute_... |
function c = calculateCentroid(beta)
% Compute the centroid (center of mass) of a continuous curve beta. The
% formula for center of mass is c = (1/L) * \int_0^1 \beta(t)|\dot{\beta}(t)|dt,
% where L = \int_0^1 |\dot{\beta}(t)|dt is the length of the curve.
%
% Inputs:
% beta - n x p matrix, i.e., an n-tuple... |
function [multiplier, inputs] = visualsubtraction(x1, y1, x2, y2, multiplier, varargin)
if nargin == 6
% extra argument gives prompt message
prompt = varargin{1};
else
prompt = 'Do Something: ';
end
inputs = cell(length(multiplier), 1);
i = 1;
if ~ishold
figure... |
%% Script to build graph from segmented images
function [Area,normal,GrainBondSets,CCbonds]=GraphBuild2(bonds,CCgrains,labelgrn)
% [Graph,u,v,CCbonds,From,To,Area,normal,GrainBondSets]=GraphBuild2(bonds,CCgrains,labelgrn)
%% Identify and label Discrete grains and bonds. Commented out b/c this is now done externally
Si... |
function img_blue = seleciona_cor(path_img_original, cor)
%{
* Script que troca a escala de uma imagem de RBG para Gray.
path_img_original: string - caminho para a imagem a ser transformada
img_cinza: uint8 - versao, em escala de cinza da imagem
%}
% leitura da imagem
img_original = imread(path_img_original);
... |
classdef plots
methods(Static)
function slider(src, event)
ax = get(src,'userdata');
c = caxis(ax);
v = get(src,'value');
t = get(src,'tag');
switch t
case 'min'
assert(v<c(2),'Image caxis min must be l... |
function p=resamplevs0(dt)
%this function resamples vs zero by taking 2/3 of the distribution and
%testing vs zero 1000 times, returning the probability that the
%distribution has the same sign as the mean vs zero
%%
if mean(dt)==0, error('distribution has 0 mean','distribution has 0 mean'), end
gt0=mean(dt)... |
clear all; close all;
% Finding data
L = 50;
p = linspace(0.5,0.65,80);
PI = zeros(length(p),1);
experiments = 100;
for i=1:length(p)
i
for k=1:experiments
r = rand(L,L);
z = r<p(i);
[lw,num] = bwlabel(z,4);
img = label2rgb(lw,'jet','k','shuffle');
s = regionprops(lw... |
function [sparse_point,sparse_weight] = test_sgmga(type,dim_num,itest,level_max,plotyn)
tol = sqrt(eps);
% spatial dimensions
% dim_num = 2;
% itest = [1;1];
% level_max = 2;
% anisotropy (see description in sgmga_importance_to_aniso.m)
importance = zeros(dim_num,1);
for dim = 1 : dim_num
importance(di... |
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% Symmetry Based Analysis of Facial Expressions Partially Occluded Due to Head Motions
% Version : 1.0
% Date : 01.2.2017
% Author : Mehdi Ghayoumi
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%... |
plot(Uout(1:80),Rout(2:81),Uout(1:80),Sout(2:81))
legend ('Bacterias resistentes','Bacterias sensibles')
ylabel('Salida adimensional')
xlabel('Entrada(u_1)')
title('Curva de linealidad') |
function [modeleChoisi, statsADF, statsPP] = TestStationnarite(y)
%% Mise en place
y_diff = diff(y);
n = size(y,1) - 1;
x1 = lagmatrix(y,1);
x1_diff = lagmatrix(y_diff,1);
y = y(3:end,:);
x1 = x1(3:end,:);
y_diff = y_diff(2:end,:);
x1_diff = x1_diff(2:end,:);
%% ... |
function [xe, xo, n] = evenodd(x,n)
% real signal decomposition into even and odd parts
% -------------------------------------------------
% [xe, xo, n] = evenodd(x,n)
%
if any(imag(x)~=0)
error('x is not real sequence')
end
m = -fliplr(n);
m1 = min([m,n]); m2 = max([m,n]);
m = m1:m2;
nm = n(1)-m(1);
n1 = 1:length(... |
function [ var ] = LoadVar( pathitem, filename, varname )
%LOADVAR Load a varable from a MAT-File located in the same folder of
%pathitem
% Detailed explanation goes here
if nargin==2
[~, varname, ~] = fileparts(filename);
end
path = fileparts(which(pathitem));
filepath = fullfile(path,[filename,'.mat']);
if e... |
function [meanResp, calciumResp] = ComputeBLModelResponse(stimArray, p, f)
%UNTITLED Summary of this function goes here
% Detailed explanation goes here
%% Compute photoreceptor responses
% Blur the filter in space (assumes periodic boundary conditions)
if p.useSpatialFilter
blurArray = fftshift(ifft(fft(f.spat... |
function [res_I, res_E] = trex_converter2(handles, hplot)
[I_tc, E_tc]=LiTrack_prepXtcavData('TREX-Sample-2015-04-01-144547.mat');
Extcav=E_tc(2,:);
Ex_tc=E_tc(1,:);
Ixtcav=I_tc(2,:);
Ix_tc=I_tc(1,:);
[I_lt,E_lt]=LiTrack_prepData(handles);
Elitrack=E_lt(2,:);
Ex_lt=E_lt(1,:);
Ilitrack=I_lt(2,:);
Ix_lt=I_lt(1,:);
le... |
%function newEvent = findDinDuration(event)
%This function finds runs of consectutive events and codes their durations
function newEvent = findEventDuration(event)
nEvents = length(event)
newEvent = event;
eventNames = unique({event.value});
curEventIdx = 0;
for iEventType=1:length(eventNames),
thi... |
function outHex = ScaledDownAESInvSBox(inHex)
% outHex = ScaledDownAESInvSBox(inHex)
% Input: inHex = a single hex character (a nibble)
% Output: outHex = the corresponding single hex character representing the
% output of the scaled down AES INVERSE S-box of Table 11.2
%First we create a 4 by 4 matrix of Table 11... |
function sweep()
hold all;
calories = linspace(0, 5000, 50);
pf = linspace(0,1,50);
for j = 1:length(pf)
for i = 1:length(calories)
M = IbuprofenTimeSeries3(pf(j),calories(i));
Q(j,i) = max(M(:,5));
end
end
plot(Q)
... |
function [y_plot,z_plot,potential_plot] = Plot_YZ_static_way2(plot_switch,plot_density,xr_plot,yr_plot,zr_plot,x_want,x,y,z,static_matrix,title_txt)
%calculate and plot the pseudo_potential's YZ plane
[xq,yq,zq]=meshgrid(linspace(xr_plot(1),xr_plot(2),xr_plot(3)+1),linspace(yr_plot(1),yr_plot(2),yr_plot(3)+1),li... |
[H,r,c] = harris_corner_detector('./person_toy/00000001.jpg', 0.01); |
function saveasAvi_1component(matFilesPath, matFilesPrefix, aviFilesPath, aviFilesPrefix, ...
radius, nSides, quadrantCut, component)
%% combining output from multiple .mat output files and saving a video.
close all;
files = dir([matFilesPath filesep matFilesPrefix '*.mat']);
nTimePoints = numel(files);
%nTimePoi... |
filefolder = 'C:\Users\praveen\Desktop\imgp\4\Input Images\';
imagefiles = dir(fullfile(filefolder,'*.*'));
nfiles = length(imagefiles);
for i=[4]
filename = imagefiles(i).name;
fullfilename = fullfile(filefolder,filename);
im2 = imread(fullfilename);
[row column depth] = si... |
function [muE0, Phi, Theta, Kappa, Pi] = impactFunctions(...
materialNames, ...
materialsDir, ...
E0, ...
Emin, ...
Emax, ...
modelEdge, ...
EKappa, ...
epsilonKappa, ...
modelPairProduction, ...
interactive)
% [muE0, Phi, Theta, Kappa, Pi] = impactFunctions(...
% materialNames, ...
% materialsDir, ...
... |
K=10;
flagtmp= zeros(K,K,K,K);
for xx=1:K
for yy=1:K
for zz=1:K
for ww=1:K
if two_elec_gauss(xx,yy,zz,ww) ~=0
two_elec_gauss(yy,xx,ww,zz)=two_elec_gauss(xx,yy,zz,ww);
two_elec_gauss(ww,zz,yy,xx)=two_elec_gauss(xx,yy,zz,ww);
two... |
function outparams = FittingWrapper (echotimes, tesla, Smeasured, sig, GT) %noise SD needed for Rician fit
%function outparams = FittingWrapper (echotimes, tesla, Smeasured, sig, GT)
% Description: Fitting 'wrapper' implements standard Gaussian, Rician and
% complex fitting and generates outputs for each
%
% Input:
% ... |
function [y,tc] = FreqTransform(x,fs)
% y=rfft(x);
[y,tc]=melcepst(x,fs);
end |
function [r,az,el,x,y,z,vects] = data_check()
opts = {['*','*'],['1','*'],['2','*'],['*','1'],['*','2']}
opts_labels = {'all: NH session 1','all: NH session 2', ...
'all: Tin session 1','all: Tin session 2' ...
'all:run 1','all: run 2',...
'NH session 1','NH session 2',... |
function g = sigmoidGradient(z)
% Computes the gradient of the sigmoid function for input z
% Input: z - input vector or scalar
% Output: g - output vector or scalar
%
% Written by Arnold Yeung
% Date: June 29, 2013
% arnoldyeung.com
g = zeros(size(z));
g = sigmoid(z).*(1-sigmoid(z));
|
%% Uppgift1
r = 4;
A = pi * r^2;
%% Uppgift2
x = 0:0.1:pi*4;
f = sin(x) + 0.3 * sin(5 * x);
plot(x,f)
%% Uppgift3
s = 0;
for i=1:5
s = s + i^2;
end
%% Uppgift4
x = linspace(-10, 10);
y = my_func(x);
plot(x,y)
fzero(@my_func,1)
function y=my_func(x)
y = x.^2 - cos(x);
end
%% Uppgi... |
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