text stringlengths 8 6.12M |
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clear all; close all; clc;
plot_linear = false;
plot_quadratic = false;
plot_tests = false;
plot_serendipity = false;
plot_serendipity_tests = true;
plot_fem_sol = false;
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% geometry
%
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%... |
function h = createSpecificityPlot(skel,trees,targetNames,individual,color,savingDir)
%getSpecificityPlot create Specificity plot of annotated trees
% INPUT trees: [1xN] vector of linear indices
%
% targetNames: {1xN} cell array of specifying the comment (even
% partially) used for annotation of a sp... |
function q=Manos_atras(Ts,q0)
q0_right_leg = q0(1:6);
q0_right_arm = q0(7:10);
q0_left_leg = q0(11:16);
q0_left_arm = q0(17:20);
q0_waist = q0(21);
q0_head = q0(22);
q0_hand = 0;
T=8;
num_points = T/Ts;
conversion = pi/180/209; % conversion from encoder values to radians
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%... |
load('higher_loading.mat');
% load('lower_loading.mat');
figure1 = figure;
% Create axes
axes1 = axes('Parent',figure1);
hold(axes1,'on');
% Create multiple lines using matrix input to plot
plot1 = plot(time,Vout,'LineWidth',2);
plot2 =plot(time,Is1*8,'LineWidth',2);
yline(0,'LineWidth',3,'Color','k','Ha... |
[a , fs] = audioread("test.mp3"); % Sinal
[b , f2] = audioread("imp.mp3"); % impulso
a = a(:,1);
H = conv(a,b);
figure (1);
plot(a(1:1000000))
title('SINAL');
grid on;
figure (2);
plot(b)
title('IMPULSO');
grid on;
figure (3);
plot(H(1:1000000))
title('CONVOLUă┬O');
grid on;
|
function sigmadot = omega2sigmadot(omega, sigma)
% Convert angular velocity to MRP time derivative
% Allow this function to accept omegas/sigmas for multiple time instances
nSteps = size(omega,2);
sigmadot = zeros(3,nSteps);
% Do the conversion for each time step
for i = 1:nSteps
% N m... |
function datactrl(nfig)
% GUI to move a selected data point upward or downward by a user-defined amount
% Input: nfig -- the number of the figure
% Use: 1. push the "Select" button
% 2. move the mouse unto the figure to select a data point to be
% moved
% 3. push "Up" or "Down" button to m... |
%this is the alternative script for RRT journal, jan-2013
%the rrt# algorithm contains a supervised learning step and consists of the
%following sections:
% 1. initial learning phase to identify goal distributions G
% 2. the RRT sample generation from G and H distribution
% 3. RRT growth (standard RRT algorithm)
% 4. e... |
function update_plots
global hnds
global r nn asz G ps
global hpb ht hi
ax1=hnds.axes1;
ax2=hnds.axes2;
cla(ax1);
cla(ax2);
nn=str2num(get(hnds.nn,'string')); % number of cities
ps=str2num(get(hnds.ps,'string')); % population size
% to plot best path:
hpb=plot(NaN,NaN,'r-','parent',ax1);
ht=title(ax... |
function [T,I,Y]=perfusionResponsepotentP2X4(y0,ton,toff,Ttot)
ode=modelODEpotentP2X4(ton,toff);
[T,Y]=ode15s(ode,[0 Ttot],y0,odeset('NonNegative',1:37));
I=getTotalCurrentpotentP2X4(Y);
end |
function [ FirstFile, Container ] = pft_FindImaContainer(Folder)
% Set a default value for an early return - an empty array will yield true with isempty and false with ischar
FirstFile = [];
Container = [];
% List all the files and folders below the top level - don't attempt to use a wildcard at this stage
[ F... |
function [cdexp_age] = build_cdexp_age(path,exp)
%
%
%
%
%
%
%
cdexp_age.animal_id = exp;
cdexp_age.pen_names = tfexp_age_get_pen_names(path,exp);
cdexp_age.pen_info = cdexp_age_get_pen_info(path,exp,cdexp_age.pen_names);
[cdexp_age.resps, ...
cdexp_age.dir, ...
cdexp_age.other] = cdexp_age_get_summary(cde... |
clear all;
WINDOW_SIZE = 10;
data = readmatrix('SAMPLES.TXT');
x = data(:, 1);
y = data(:, 2);
figure(1);
plot(x, y);
xlabel('Tiempo (s)');
ylabel('Voltaje (mV)');
title('Mediciones genAnalog');
amplitude = max(y);
filtered_x = [];
filtered_y = [];
for index=1:WINDOW_SIZE:size(y, 1)
upper_window = index+(W... |
function [A, RHS]=fvm_ddt(factor, factor0, xn, V, dt, method)
% Gives the temporal derivative matrix and corresponding RHS
% d/dt x^(n+1)-x^(n)*V
%
% fvm_ddt(V,method)
%
% factor: slacar factor in term at time n+1
% factor0: slacar factor in term at time n
% xn: column vector with x n s... |
function output = triangle_bipolar_1(A, f, t, n)
output = 0;
for n=1:1:n
if rem(n,2) == 0
output = output + (8*A)/pi^2 * 1/(2*n-1)^2*sin(2*pi*t * (2*n - 1)*f);
else
output = output - (8*A)/pi^2 * 1/(2*n-1)^2*sin(2*pi*t * (2*n - 1)*f);
end
end
end
|
function [t,H,q,p] = LF(fcn, tspan, q0,p0, n, h)
t0 = tspan(1);
t_end = tspan(1)+(n-1)*h;
h = (t_end-t0)/n;
t = t0:h:t_end;
H = zeros(1,length(t));
q = zeros(1,length(t));
q_half = zeros(1,length(t));
p = zeros(1,length(t));
H(1,1)=0;
q(1,1) = q0;
p(1,1) = p0;
q_half(1,1) = q0 + (h/2)*(p0/0.9953);
f... |
% Program for calculating the PA element phases needed to correct for phase aberration at the one current focal
% point using time reversal--that is, backward propagating a point source at the focal point, including steering,
% back to the volume surrounding the transducer. The back-propagated pressure pattern is ... |
%load the training data
train_data = load('mnist_train.csv');
%pick the labels of the data
train_labels = train_data(:,1);
%pick the images of the data
train_images = train_data(:,2:end);
%normalize the images to create input ready data
train_images = train_images(:,:)/255;
%pick odd and even numbers a... |
function [sys,x0,str,ts,simStateCompliance] = mav_dynamics(t,x,u,flag,P)
switch flag,
%%%%%%%%%%%%%%%%%%
% Initialization %
%%%%%%%%%%%%%%%%%%
case 0,
[sys,x0,str,ts,simStateCompliance]=mdlInitializeSizes(P);
%%%%%%%%%%%%%%%
% Derivatives %
%%%%%%%%%%%%%%%
case 1,
sys=mdlDerivatives(t,x,u,P);... |
function tu = matlab2unix(cyear, cmonth, cday, chour, cminute, csec, cmsec)
datetime_str = datetime(cyear,cmonth,cday,chour,cminute,csec,cmsec);
datetime_sec = datenum(datetime_str);
tu = round(864e5 * (datetime_sec - datenum('1970', 'yyyy')));
end
% function tu = matlab2unix_ez(tm)
% tu = round(864e5... |
function c = constDym(xVec, parms)
[n,m]=size(xVec);
if n<m
xVec=xVec';
end
c = zeros(parms.ndof*parms.totalKnotNumber, 1);
for i=1:parms.totalKnotNumber
xSeg = xVec( (1:parms.nVarSeg)+ (i-1)*parms.nVarSeg, 1);
dymSeg = DineWraper(xSeg); %h is required
c((parms... |
% CSI 700: Midterm
% Problem #4c
% J Schott
% 06 MAR 2011
function r = test_problem4(tol, alpha, c)
x = [0.5;0.5];
for k=1:1:2000
xPrev = x;
r(k,1) = k - 1;
r(k,2) = x(1,1);
r(k,3) = x(2,1);
% calculate J(x) and f(x)
J(1,1) = -2*x(2,1);
J(1,2) = 1;
J(2,1) = 2 * ... |
function plotModulationIndex(experiments,expType,StimArea,RespArea,channels)
%% By Mattia
Path = get_path;
parameters=get_parameters;
countAnimal=0;
GoodSpikes=[];
for n_animal = 1:length(experiments);
experiment=experiments(n_animal);
if ~isempty(experiment.animal_ID) && experiment.expression(1)==1 && strcmp(e... |
clear all ;close all ;
subs = {'alex','charest','esteban','fabio','gab','gabriella','genevieve','gina','guillaume','jeremie','julie','katrine','lisa','marc',...
'marie','mathieu','maxime','mingham','patricia','po','russell','sunachakan','tah','vincent'} ;
stimnames = {'unperturbed','5% contrast','33% contrast'... |
clear all;
close all;
Nq = 2;
M = 2^Nq;
L = 4;
length_signal = 24;
length_signal = length_signal*Nq;
inputsig = randi( [0,1],length_signal, 1);
[qam, M] = qam_mod(inputsig, M);
nf = modnorm(qam,'peakpow',1);
qam = qam*nf;
P = 6;
ofdm = ofdm_mod(qam, P, length_signal/Nq, L);
%%%%%%%%%%% H(z) = 1 and SNR = infinty... |
function [im,labels] = getBatch_(imdb,net,batch)
im = single(imdb.images.data(:,:,:,batch));
im = bsxfun(@minus,im,net.meanVector);
labels = imdb.images.labels(:,batch);
end |
function [points] = getHarrisPoints(I, alpha, k)
% Finds the corner points in an image using the Harris Corner detection algorithm
% Input:
% I: grayscale image
% alpha: number of points
% k: Harris parameter
% Output:
% points: point... |
function [ database ] = create_window_collisions( stream, k )
%CREATE_WINDOW Summary of this function goes here
% Detailed explanation goes here
%k - length of the window
%stream - training data
packet_size=40; % size of each packet and collision
pat= 2*ones(1,packet_size); % create a pattern of collision to find i... |
% Copyright (C) 2001-2009 Nicolas Guilbert
%%
%% This program is free software; you can redistribute it and/or modify
%% it under the terms of the GNU General Public License as published by
%% the Free Software Foundation; either version 2 of the License, or
%% (at your option) any later version.
%%
%% This program is ... |
% Copyright 2018, by the California Institute of Technology. ALL RIGHTS
% RESERVED. United States Government Sponsorship acknowledged. Any
% commercial use must be negotiated with the Office of Technology Transfer
% at the California Institute of Technology.
% -----------------------------------------------------------... |
function Model = createInternalModelFactory(Model, Options, ObservationNames, ActionNames, InputSize, OutputSize)
% CREATEINTERNALMODELFACTORY Create an internal model from user-defined model
% Copyright 2019 The MathWorks, Inc.
% InputSize and OutputSize only applicable to basis function model
UseDevice = Options.U... |
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% classOSN includes all proprieties and methods specific for OSNs
%
% Licurgo de Almeida
% 04/17/2013
%
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
classdef classOSN < classNoSpkNeuron
properties
AMPA... |
%% Homework 1
% Roy E. Crippen IV
% ENG 101
% Due 9/30/2019
%% Introduction
% This m-file contains all of the problems for homework 1. I have each
% problem separated in their own m-file if that is what you would prefer, just
% let me know and I will resubmit those files instead. The homework is formatted in this w... |
function [EEGres,timep] = remove_gradient2(EEG)
% function [EEGres,timep] = remove_gradient2(EEG)
% remove gradient from EEG dataset
chanN = 48 ;
% step 1: get the indices of the gradient epochs
hp = eegfiltfft(EEG.data(chanN,:),5000,20,5000) ;
allhp = eegfiltfft(EEG.data([1:31],:),5000,30,5000) ;
stdh... |
function [X, Out_tSVD_TNN] = tSVD_TNN(Xmiss,Omega,opts)
if isfield(opts,'beta'); beta = opts.beta; else beta = 1e-2; end
if isfield(opts,'maxit'); maxit = opts.maxit; else maxit=500; end
if isfield(opts,'tol'); tol= opts.tol; else tol = 1e... |
function [ path_length_log, path_safety_log, paths_log, x_nodes, y_nodes ] = safeQuasiPathService(prm_adj_list, configs, min_x, max_x, ...
min_y, max_y, min_t, max_t, theta_config_count)
%Safe Path: Find a safe path in a graph.
% Detailed explanation goes here
total_config = size(configs,1);
startNodes = find(config... |
function varargout = sure(varargin)
% SURE M-file for sure.fig
% SURE, by itself, creates a new SURE or raises the existing
% singleton*.
%
% H = SURE returns the handle to a new SURE or the handle to
% the existing singleton*.
%
% SURE('CALLBACK',hObject,eventData,handles,...) calls th... |
function pgi=PGI_SV(sv)
% PGI_SV computes the public good index from a simple game to determine the set of minimal winning coalitions.
%
% Usage: gpi=PGI_SV(sv)
% Define variables:
% output:
% pgi -- The Holler/Public good index.
%
% input:
% sv -- Data array of a single game of length 2^n-1.
%
% Autho... |
addpath(genpath(pwd))
x = input('Would you like to save the path for the next session of MATLAB? (y/(n))','s');
if (isempty(x))
x = 'n';
end
if x=='y' || x=='Y'
savepath
disp('Path saved.')
else
disp('Path added, but not saved. It will only be used for this session of MATLAB.')
end
|
function displayBoardOnly( board, num )
%displayBoardOnly: Plots locations of ships onto a single figure plot.
%
% Input Arguments:
% board = Board data type to display
% num = Display iterator; used to decide if create or update figure
% Global variables imported
global boardSize;
% Check if... |
function [O_penalty, O_grad]=penalties_smoothness(O,sizeI,Scaling)
% This function calculates the 2D or 3D equivalent of the 2D
% bending energy of thin sheet of metal, for a 2D or 3D transformation
% grid of cubic spline control points.
%
% [O_penalty, O_derivative]=penalties_smoothness(O,sizeI,Scaling);
%
%... |
% function fns = expstruc(X,sname,ll,lname,mems)
%
% Recursively explode a structure to find all members.
%
% INPUTS
% ------
% X; structure to be exploded
% sname; structure name
% ll; structure level (1= top)
% lname; name of the field (string, completely expanded)
% mems; structure containing field names and data ty... |
function [Cells] = FilesToCell
myDir = uigetdir; %gets directory
myFiles = dir(fullfile(myDir,'*.csv')); %gets all wav files in struct
Cells = cell(length(myFiles),3);
for k = 1:length(myFiles)
baseFileName = myFiles(k).name;
NameArguments = strsplit(baseFileName, '_');
Cells{k... |
function stan_ephys_getdata_su
%
%
%
%
% scan for single unit files
[options,dirs]=stan_preflight;
files=robofinch_dir_recurse(pwd,'sua_channels*.mat');
for i=1:length(files)
files(i).name
% scan the metadata
[pathname,filename,ext]=fileparts(files(i).name);
su_info=stan_read_metadata_su(fullfile(pathname,'... |
clear all; close all; clc
% Lectura de DATA
load datosm3.lvm % cargar data
t=datosm3(:,1); % tiempo
y=datosm3(:,3); % salida
u=datosm3(:,2); % entrada
figure
subplot(211), plot(y,'r'), title('Salida')
subplot(212), plot(u,'r'), title('Entrada')
ident
%% Fcn Ident MATLAB
T=0.001;
dato=iddata(y,u,T); % data objeto
%% ARX... |
function [delta, probData] = linSolve3(soln, probData, RHS)
% This method implements a block solver for the Newton system.
% --------------------------------------------------------------------------
% USAGE of "linSolve3"
% delta = linSolve3(soln, probData, RHS)
% -----------------------------------------------------... |
clc
clear all
close all
data = dlmread('old_faithful.dat','\t',26,0);
data = data(:,2:3);
X=data;
figure;
plot2 = gscatter(data(:,1), data(:,2));
hold on;
x1 = min(data(:,1))-2:0.1:max(data(:,1))+2;
x2 = min(data(:,2)):0.1:max(data(:,2));
[X1,X2] = meshgrid(x1,x2);
% initialization step
% declare p... |
function srinit
% This function sets up a bunch of storage ring parameters
%
BPMNumAverages = 16*16;
% Set the BPM averaging
setbpmavg(BPMNumAverages);
fprintf(' BPM averaging set to %d\n', BPMNumAverages);
% QD shunts off
%fprintf(' Switch QD shunts off...\n');
%setqfashunt(1, 0);
|
function filtered = LowpassFilter2(input,r)
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% This function is a low pass filter.
% Here the unit of r is pixel.
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
[yn,xn] = size(input);
[XX,YY] = meshgrid(1:xn,1:yn);
Filter = (XX... |
% (ExampleDSB.m)
% This program uses triplesinc.m to illustrate DSB modulation
% and demodulation
ts = 1.e-4;
t = -0.04:ts:0.04;
Ta = 0.01;
m_sig = triplesinc(t,Ta);
Lfft = length(t); Lfft = 2^ceil(log2(Lfft));
M_fre = fftshift(fft(m_sig,Lfft));
freqm = (-Lfft/2:Lfft/2 - 1)/(Lfft*ts);
s_dsb = m_sig.*cos(2*pi*500*t);... |
% Dobashi implementation
%
function [Pv,player] = main_v4
global Table NumSources
NumSources=10;
SampFreq=16000;
ConstructTable;
Pv = SoundPressure(SampFreq);
% Sound rendering
player = audioplayer(Pv,SampFreq);
% figure, plot(Table(1).Texture)
end
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%%%%%%%%%%%%%%%%%%... |
rng('default');
load('testdata_scz_Z1_ctl_Z0.mat')
mu0=mean(Z0);
sigma0=cov(Z0);
mu1=mean(Z1);
sigma1=cov(Z1);
%%
smpsiz=100:100:2100;
lamdav=1:0.2:5;
Zc=cell(21,21);
%%
for kx=1:21
for ky=1:21
Sz=smpsiz(kx);
Lv=lamdav(ky);
p=ones(100,1);
[kx ky]
parfor k=1:100
... |
files=dir('roi*.mat');
numsubs=42;
numatlases=length(files)/numsubs;
d=25;
% mnrfullrank=zeros(numatlases,d);
% threshfullrank=zeros(numatlases,d);
% mnrrank=zeros(1,numatlases);
% threshrank=zeros(1,numatlases);
% rois=zeros(1,numatlases);
% D = zeros(numsubs, numsubs, numatlases);
[mnrfull,threshfull,mnr,thresh,roi... |
% book : Signals and Systems Laboratory with MATLAB
% authors : Alex Palamides & Anastasia Veloni
%
%
%
% stability
syms n
h=1/(2^n)
symsum(abs(h),n,0,inf)
|
function map_output = smooth_small_map( map_input )
% diag_coef=2*(1-sqrt(2)/2);
diag_coef=0.5;
filter_cell=[diag_coef 1 diag_coef ; 1 2 1; diag_coef 1 diag_coef ];
map_output=conv2(map_input,filter_cell,'same')/sum(sum(filter_cell));
end
|
function uvo = denoise_bilateral_filter(uv, im, occ)
% Classify input flow into two regions:
% edge region: bilateral filtering w.r.t. to reference image IM
% smooth region: MF (9x9) to fit translational motion or robust affine
% the bilateral used in particle video
bfhsz = 10; % half bilateral filtering size
sigma... |
function cls_ws_set = classWiseSet(Table)
%=============================================================================================================================
% This function groups the objects or examples based on thier decision attribute values.
% Input:
% A table, whose first column repre... |
I=ones(300,600,3);
r=150;
c=300;
for i=1:size(I,1)
for j=1:size(I,2)
dist=sqrt((i-r)^2+(j-c)^2);
dist=round(dist);
if(dist<75)
I(i,j,2:3)=0;
end
end
end
figure,imshow(I); |
function hetero = get_hetero_locus(data, locus, member_list)
hetero(1:3) = 0;
for i = 1:length(member_list)
seq = data(member_list(i), 6 + locus * 2 - 1 : 6 + locus * 2);
if( seq(1) ~= 0 && seq(2) ~= 0 )
if( seq(1) == seq(2) )
hetero(1) = hetero(1) + 1;
else
hetero(2) = ... |
function [C] = inm_strassen(A, B) %echivalent cu C = A * B
[na ma] = size(A);
[nb mb] = size(B);
%if na > 8 || ma > 8 || mb > 8
% C = A * B;
% return ;
%end
n = max(na, max(ma, max(nb, max(mb)))); %aflam cea mai mare dimensiune a matricilor, necesar pentru completarea cu 0
n = nextpow2(n);
d = 2^n; % fi... |
function [freq, port, s11, s21] = ParamMetaSlab(varargin)
% Simulation of a Slab with two arrays of SRRs
%
% -Create a slab made of ground and substrate.
% -Calculate the number of SRRs needed to fill the slab (on x axis)
% -Fill the two edges of the slab with SRRs. (As a patch on the substrate
% of the slab). The S... |
function [F,J] = NashCondition(p, follows, langs, logt, constants, k)
% follows: n-by-m (sparse) 0-1 matrix. follows(j,i) = 1 if i follows j
% m = total number of users in graph
% n = total number of bilingual users who are followed-by
% langs : 2-by-m 0-1 matrix. langs(j,i) = 1 if i speaks languag... |
clear;
cam = webcam(2);
cam.Resolution = '640x480';
preview(cam)
pause(10)
closePreview(cam)
img = snapshot(cam);
imshow(img); |
pyrunfile("main.py") |
function FootEventCell=FootFPInfo(plotFP, FootEventCell, trajectories, events, xv1, yv1, xv2,yv2, xv3, yv3, S, vicon)
% Get extra info for the Foot Event Cell
%Points in Trajectory
MarkerNames=vicon.GetMarkerNames(S)';
LHEE=find(strcmp('LHEE',MarkerNames));
LTOE=find(strcmp('LTOE',MarkerNames));
RHEE=find(strcm... |
Nr = 19200; % number of detector elements
rLen = xLen * 1.5; % length of detector
rVec = (0.5:Nr-0.5) * rLen/Nr - rLen/2; % r-axis
p = ones(Nr);
figure(13)
domain = 'fourier1';
q = rampfilter(p, rVec, domain);
axis([-0.1 0.1 -0.2 0.25]) |
function [lnpost x add_matrices]=likelihood_wrap_withstates( params,setup,data )
[ param ] = inv_transform( params,setup.index_log, setup.index_logit,setup.index_logit_general, setup.length_log,setup.length_logit,setup.length_logit_general,setup.logit_general_lb,setup.logit_general_ub );
current_matrices=zeros... |
function [points] = SelectKRandomPoints(A,k)
%SelectKRandomPoints.m is a function generates a list of k randomly
%selected pixels from an image. All of these points are unique.
%Inputs:
% A = a 3D image array
% k = Number of points to randomly select
%Outputs:
% points = A 2D array representing k rand... |
clear;
clc;
N = 10;
A1 = hex2dec('6058') + hex2dec('0002')*65536;
A2 = hex2dec('7DB3') + hex2dec('0002')*65536;
A3 = hex2dec('9873') + hex2dec('0002')*65536;
A4 = hex2dec('A283') + hex2dec('0002')*65536;
A5 = hex2dec('966B') + hex2dec('0002')*65536;
A6 = hex2dec('79BC') + hex2dec('0002')*65536;
A7 = hex2dec('5F55') + h... |
data = load('ex1data1.txt');
X = data(:, 1); y = data(:, 2);
m = length(y); % number of training examples
fprintf('Running Gradient Descent ...\n')
X = [ones(m, 1), data(:,1)]; % Add a column of ones to x
theta = zeros(2, 1); % initialize fitting parameters
% Some gradient descent settings
iterations = 1500;
alpha =... |
classdef TDCFeatExtractor < handle & featpipem.features.GenericFeatExtractor
%PHOWEXTRACTOR Feature extractor for cell deformation
properties
use_gpu
features = containers.Map({'flow','rgb','idt'},...
{{'pool1','pool2','conv3','conv4','conv5'},...
{'pool1','pool2','conv3','conv4','conv5'},.... |
function [Jacobian,residual] ...
= problem_jac_res_init(qstar,qpast,data)
% Forms the %Jacobian of equations given by the DG data.method for a fiv1ed cell
% written by data.Pierson Guthrey
% -------------------------------------------------
% INdata.PUTS DGsubregion
% prevcell
% starcel... |
function stim_movie(optstr,w,objID,arg)
%function stim_movie(optstr,w,objID,arg)
%
% showex helper function for 'movie' stim class
%
% Each helper function has to have the ability to do 3 things:
% (1) parse the input arguments from the 'set' command and precompute
% anything that is necessary for that stimulus
% (2) i... |
% [peaks, idx]=findpeaks(scope_A.signals.values(:,2));
clear idxAo idxBo idxBi idxAi peaksA peaksB indcA indcB Axft Bxft inAxft inBxft max_valA max_valA2 max_valB max_valB2 idxA idxB timeA timeB FsA FsB
prompt = 'What is the value of the A Amplitude? ';
prompt2 = 'What is value of the B signal Amplitude ';
if(isemp... |
% This is an example use of the plot function
% used in association with the finding of a root
% problem solved earlier.
% a is the lower value of the range
% b is the upper value of the range
a = 0;
b = 3;
hf= @testf;
hderivf= @testderivf;
fa = -inf;
fb = inf;
delta = (b-a)/100;
xx = a:delta:b;
%plot(xx,xx .^3-2... |
close all
clear all
fclose all;
HumanInit
Timeoffset = now;
%%
ChanColLabel = [
1 1 0;
0 0 1;
1 0 0;
.8 .8 .8;
.5 .5 .5;
1 1 1;
0 .7 0;
.8 .8 .8
];
Npts = 100;
%%
H=figure;
Hstop = uicontrol('position',[0 0 40 20],'style','togglebutton','string','stop','Callback... |
% real convolution
function y=realconvolution(reroot,imroot,gammac,tau,t)
y=(1/gamma(gammac)/gamma(gammac)).*(tau.^(gammac-1).*exp(reroot.*tau).*cos(imroot.*tau)).*((t-tau).^(gammac-1).*exp(reroot.*(t-tau)).*cos(imroot.*(t-tau))); |
function [ hg ] = plotColoredBrain( cData, resort, transparency )
%PLOTCOLOREDBRAIN Function that colors 66 areas of brain according to cData
% Input Parameters:
% cData - vector of length 66 that is used to color 66 brain regions
% resort - If true, rearange the order of cData
% (reverses ... |
n = 9;
h = 1/(n+1);
x=zeros(n+2,1);
for i=2:n+2 x(i)=(i-1)*h; end
q=@(t) pi^2;
p=@(t) 1;
fRR = @(t) 2*pi^2*sin(pi*t);
Q=zeros(6,n+1);
for i=1:n-1 q1i =@(t) (x(i+2)-t)*(t-x(i+1))*q(t);
Q(1,i) = SimpsonRule(x(i+1),x(i+2),100,q1i)/h^2;
end
for i=1:n q2i =@(t) (t-x(i))^2*q(t);
Q(2,i) = Simpson... |
% color_01 [script]
clear all; close all; clc
grayAviao = imread('f3_p3_knife_plane_drop_dy_2-22.jpg');
th = graythresh(grayAviao);
bw1 = im2bw(grayAviao, th);
bw1 = ~bw1; %inverte
grayd = mat2gray(grayAviao); %double [0...1]
aviao2 = mat2gray(bw1);
aviao2 = imsubtract(grayd, aviao2);
#Inteiros para apl... |
function point = pointOnLine(line, pos)
%POINTONLINE Create a point on a line at a given position on the line.
%
% P = pointOnLine(LINE, POS);
% Creates the point belonging to the line LINE, and located at the
% distance D from the line origin.
% LINE has the form [x0 y0 dx dy].
% LINE and D should hav... |
% find_FOVs_and_crop_proton_image
%% Created - on 2/23/2016
%
% by MP, while running the process_c13_date, this code checks the FOVs for
% the proton and carbon scans and chooses the appropriate image sizes.
%
% Update(1) by MP on 10/23/2018
% finds the interpolation factor to match the size of the proton and carbon
% ... |
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% Fill the Parent Population According to the NSGA II Algorithm %
% %
% Author : Julie... |
% >> First calls matrix_completion(Wtmp,H,4,2,4)
% X = Wtmp (rescale W_k)
% W = H
% rfinal = 4
% mode = 2
% rinit = 4
% So does the loop the first time have just 1 iteration?
function [Z,U,V]=ALM_nuclear(X,W,rfinal,mode,rinit)
Z=[];
U=[];
V=[];
if nargin<5
%for rank continuation to avoid local minima
rinit=rfin... |
% This function returns the vector field that forms the basis
% for normal space of {\cal A}
function delG = Basis_Normal_A(q)
[n,T] = size(q);
e = eye(n);
for i = 1:n
Ev(:,:,i) = repmat(e(:,i),1,T);
end
for t = 1:T
qnorm(t) = norm(q(:,t));
end
for i = 1:n
tmp1 = repmat(q(i,:)./qnorm,n,1);
tmp2 = repm... |
function [ W ] = CalcWerk( To, Tf, mixVec,mDot)
%CalcWrk [Matt]
% This function calculates intensive work over a device from
% two temperature states as the difference of the
% total enthalpies at each state (generated from the
% function hMix)
% W - total work (integral of cp dT) in J/mol-K PER MOL OF FUEL ... |
% edit this if you want to only import part of the data. Include 1 in the
% vector if you want to ignore the graphData, 2 for agentTrance and 3 for
% the agentLog.
ignore = [];
% add paths
addpath(genpath('helperFiles'))
addpath(genpath('customFiles'))
% import data
[graphData, agentTrace, agentLog] = importAATOMDataF... |
% Z and P contains the matrix after removing the first index;
%Zack Pot;
%You might need to remove the first column ;
%For retweaking of the code and reproducability;
%you have to implement LOOCV based on the derivations in the previous part. ;
% Calculate LOOCV error for each λ and plot it alongside training and valid... |
% Replicate the regression example as in FdRegress_eg.m for
% 100 times to calculate the mean square error of predictions.
%% set a random seed
stream = RandStream('twister','Seed', 1234);
reset(stream); % set up a seed for simulation
%% add fdaM path and load Bayesian smoothing output
addpath(genpath(cat(2, pwd, '... |
% Homework 5
load p5.mat;
% Problem5
% soundsc(X1,24000);
% "Matlab, breakfast of champions BUT with a high pitch tone over top of it
N=length(X1)/2;
F=linspace(0,12000,N);
FX1=abs(fft(X1));
% plot(F,FX1(1:N))
num = [1 -1.93185 1];
den = [1 -1.91253 .98];
XF = filter(num,den,X1);
% soundsc(XF,24000);
% Problem ... |
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% Copyright 2012 Analog Devices, Inc.
%
% Licensed under the Apache License, Version 2.0 (the "License");
% you may not use this file except in compliance with the License.
% You may obtain a copy of the License at
%
% http:/... |
function [ I, areas ] = integrate_areas_by_area( img, n_areas, area )
%UNTITLED2 Summary of this function goes here
% Detailed explanation goes here
close all
areas = zeros(n_areas, 4);
I = zeros(n_areas, max(size(img)));
plot_image_ui(img{1})
for i=1:n_areas
for j=1:i-1
re... |
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% This function is significantly faster than the other. Instead %
% of reading the file many times, it only reads each audio file %
% once, then splits the audio as a matrix. %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%... |
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% Mathematical modeling of the triple pendulum
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% Angle up zero
clear; clc
syms M m1 m2 m3;
syms x xd xdd theta1 theta1d theta1dd theta2 theta2d theta2dd theta3 theta3... |
function vert_projection = get_vertical_projection(X, Y)
round_X = int32(X);
round_Y = int32(Y);
norm_X = round_X - min(round_X) + 1;
norm_Y = round_Y - min(round_Y) + 1;
unique_coords = unique([norm_X, norm_Y], 'rows');
unique_X = unique_coords(:, 1);
unique_Y = unique_co... |
function VPI=valueOfPerfectInformationBernoulli(alpha,beta)
%mu: vector of expected values of the returns of all possible actions
%sigma: corresponding standard deviations
%c: index of the action about which perfect information is being obtained
E_correct=[alpha,beta]/(alpha+beta);
[max_val,max_pos]=max(E_correct);
E... |
function fields=separate_field_names(concatenated_fields)
for i=1:length(concatenated_fields)
fields{i,:}=strsplit(concatenated_fields{i},'.');
end
end |
function numdiff = ndiff(A)
%
% Accounts for the number of different elements that compose the matrix A
B = A(1);
for i=2:numel(A)
if isempty(find(A(i) == B))
B = [B A(i)];
end
end
numdiff = length(B);
|
clear
clc
prefix = '/home/pzhang/chen/move-bed/';
prefix = '/media/pzhang/My Book/move-bed-tmp/move_bed_2/';
for iiii = 4:4
% if(iiii==1)
% middle = 'test_mvbed_';
% else
middle = strcat('test_mvbed_',num2str(iiii-1),'_');
% end
R = 10;
LP = 40;
num = 1:999;
for i = 1:numel(num)
name = strcat(prefix,middle,... |
function [mt1,mt2,upl_mt1,lor_mt1,upl_mt2,lor_mt2,match_weight,err]=temp_temp_matching(t1,t2,upl_1,lor_1,upl_2,lor_2,th,cal)
%% TEMPLATE-TEMPLATE MATCHING PROCEDURE
% Input
%% t1, t2 : templates to be matched
%% upl_1, upl_2 : image coordinates of the templates' upper left corner
%% lor_1, lor_2 ... |
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