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function [t,l,h,w] = findMouth(mask)
%find mouth but not efficient enough
%I just find the biggest non-skin color region
% if some light or shadow on the face
%and the mouth is small
%it will not work
%cbcr = rgb2ycbcr(mask);
%cbcr3 = cbcr(:, :, 3);
%init output
t = 1;
l = 1;
[h, w] = size(mask);
%figure, imshow(... |
%%% epsilon-differential Private Rasch Model
% Authors:
% MSc Student Teresa Anna Steiner (s170063@student.dtu.dk)
% MSc Student David Enslev Nyrnberg (s123997@student.dtu.dk)
% Professor Lars Kai Hansen (lkai@dtu.dk)
% Input:
% Dichomotous data matrix of 0's and 1's
% Output:
% initialize result array
EX4.corrMatr... |
indir = '/gpfs/milgram/project/turk-browne/projects/StatLearning_iEEG/data/Session_DR_Jan2019/';
infile_cell={'X~ X_f6b972ef-16e8-469b-ae43-aa668f3a259e.EDF',...
'X~ X_33d47426-1eb9-4a7f-92ae-20735fb70539.EDF',...
'X~ X_bab56b7b-3860-4c68-b190-f11a259c3229.EDF'...
};
outdir = '/gpfs/milgram/project/turk-browne/proje... |
% EJERCICIOS RESUELTOS DE VISIÓN POR COMPUTADOR
% Autores: Gonzalo Pajares y Jesús Manuel de la Cruz
% Copyright RA-MA, 2007
% Ejercicio 1.11: Representación de imágenes
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% 1.6.4 Operaciones sobre el contenido de las imágenes
%%%%%%%%%%%... |
%% This script will calculate 9 measures for all files in the folder: filepathName
% All files fcn*.m contain Matlab functions used in calculating measures.
%This will suppress Matlab warnings
warning('off','all')
%% Add path to use EEGLAB Matlab functions; Change path to your local copy of EEGLab
addpath(genp... |
function y = polynom(x)
y = (93.*x) - ((((x.^2)+x+0.03)./(x+1)).^8)-6.*x.*(exp(-x));
end |
function [t, sampleRate, varargout] = load_xsg_trace(cellnum,code,tracenum,chans)
%
%
%
% t: time in minutes from 1-Jan-0000 reference (datenum(datevec(timeOfTrigger))*60*24).
% varargout: voltage values from the channels specified in 'chans'.
%
% 12/07, DHO
%
if tracenum < 10
filler = '000';
elseif tracenum <100
... |
function c = consumption(v)
% CONSUMPTION Returns consumption for specified speed.
isValidRange = (v >= 2) & (v <= 200);
if all(isValidRange) == false
error('Error. \nVelocity must be between 2 - 200');
end
consumptionData = load('roadster.mat');
s = spline(consumptionData.speed_kmph, consum... |
%% Personal details
% Name : Nischith
% Roll number : CS18B102
clear all
%% Q1
s1 = sin(0:0.1:pi)*3 + 40;
s2 = sin(0:0.1:pi)*3 + 60;
s3 = sin(0:0.1:pi)*6 + 40;
s4 = sin(0:0.1:pi)*6 + 60;
sparsity1 = makeSparsity(s1);
sparsity2 = makeSparsity(s2);
sparsity3 = makeSparsity(s3);
sparsity4 = makeSparsity(s4);
% When offse... |
classdef TestValidStartState < matlab.unittest.TestCase
% TestValidStartState unit testing for validStartState.
properties
end
methods (Test)
% ub is a 3x1 vector from the center-of-mass of the bob to the revolute
% joint location and expressed in the bob frame.
... |
function [highRMSElectrodes, goodPos, Fs, stPos, blPos, mt, folderLFP, timeVals, stimPeriod, baselinePeriod, folderSourceString] = getSubjectDetails(subjectName, expType, stimType) %#ok<STOUT>
subjectID = [subjectName expType];
if strcmp(subjectID,'alpaColor')
subjectName = 'alpa';expDate = '301215'; p... |
function spikeplotter = Show_Spikes(Spikes)
[h,w,d] = size(Spikes);
spikeplotter = zeros(h,w,d);
for i = 1:d
for j = 1:h
for k = 1:w
if Spikes(j,k,i) == 1
spikeplotter(j,k,i) = Spikes(j,k,i)+j;
else
spikeplotter(j,k,i) = Spikes(j,k,i)-10;
... |
%{
_______________________________________________________
#####################################################
SIMULACION PROYECTO DE GRADO CASOS COVID-19
EMPLEANDO METODO DMD
_____________________________________________________
##############... |
function [current_phase,current_condition,current_accuracy,...
current_latency]=EEG_ExtractBehav(EEG,Phase,Condition)
switch task_Name
case {'4POP'}
numCond=2;
case {'WM'}
numCond=3;
end
for n = 1:length(EEG.urevent)
current_phase(n)=get_phase(EEG.urevent(n).type, Phase);
current_con... |
function [kOut,color] = GrayROIs2FSmesh(subjid,hemi,ROIname,forcePlot)
% Convert mrVista Gray ROI to Freesurfer mesh indices.
%
% USAGE: kFS = GrayROIs2FSmesh(subjid,hemi,ROIname)
%
% where: subjid = SKERI subject ID string, no '_fs4' tail
% hemi = 'lh' or 'rh'
% ROIname = base ROI... |
function [lambda,cut_point_tot,hist_cut] = dendrogram_cut(bel,prox_mat,fighandle)
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% FUNCTION
% [lambda,cut_point_tot,hist_cut] = dendrogram_cut(bel,prox_mat)
% This function applies the procedure discussed in the book for
% determining the clu... |
function ang = pix2angle(pix, dist, width, resolution)
%angle = pix2angle(display,pix)
%
%converts monitor pixels into degrees of visual angle.
%
%Inputs:
%display.dist (distance from screen (cm))
%display.width (width of screen (cm))
%display.resolution (number of pixels of display in horizontal direction)
%ang (visu... |
function stimulus = makeRetinotopyStimulus_bars(params)
% makeRetinotopyStimulus - make various retinotopy stimuli
%
% stimulus = makeRetinotopyStimulus_bars(params)
%
% Matlab code to generate various retinotopy stimuli
% Generates one full cycle, as well as the sequence for the entire scan.
%
% 99.09.15 RFD: I fixed ... |
%script9_9.m
total=0;
for n=1:100
total=total+1/(n^2+1);
end
total |
function thresholds=f_set_thresholds(min_value,max_value,delta_value, varargin)
if(nargin==4)
switch varargin{1}
case 'log10'
thresholds=10.^transpose(min_value:delta_value:max_value);
otherwise
thresholds=transpose(min_value:delta_value:max_value);
warning('Set ... |
%%% load parameter
load 'temp.mat';
dataPathAir = 'E:\Data\NasaFlame\June_18_Study\KrCalibration_BeamHardening_60kV20ma\Air_CT_60kV_20ma\';
dataPath = 'E:\Data\NasaFlame\June_18_Study\KrCalibration_BeamHardening_60kV20ma\Ballloon_CT_100PercentKr_60kV_20ma\';
geom = loadProjectionGeometryCT( p );
spectrum = loadSpe... |
function ShowCondEst()
% function ShowCondEst()
% Illustrates the condition estimation idea.
% GVL4: Section 3.5.4.
% The dimension of the matrix...
n = 100;
% Test examples generated via gallery('randsvd')
% Type "help private/randsvd" for more information.
mode = 3;
clc
disp('inf-norm condition Est... |
clc;
clear all;
close all
sj=xlsread('E:\数学建模\建模论文\2017CUMCM\B\附件二：会员信息数据2.xlsx',1,'B2:D1060');
% li=sj(:,3)
% temp=[max(li);min(li)];
% deno=temp(1,:)-temp(2,:);
% [m,n]=size(li);
% sj3=zeros(m,n);
% while(m)
% sj3(m,:)=(li(m,:)-temp(2,:))./deno;
% m=m-1;
% end
% % sj(:,3)=sj3;
% [x]=sj(:,1);
% [y]=sj(:,2);
% ... |
function [hzc,icl3]=coarsening_icl(dx,dy,dz,params)
% [[hzc,icl3]=coarsening_icldx,dy,dz,params)
% in:
% dx,dy mesh spacings, scalars
% dz vertical element sizes, vector
% params structure
% out:
% hzc horizontal coarsening factors in directions 1 and 2
% icl3 coarse indices... |
function [pie,A,B,data,states,features] = training_elog(data)
%path_to_dat = 'data\ADL-1.csv';
%data = load(path_to_dat);
%data2 = load(path_to_dat2);
% data = [data; data2];
[timestamps,features] = size(data) ;
features = features-1;
states = 6;
labels = [0 101 102 103 104 105];
noObse... |
%% rtanx_task_instructions_test
% This tests if the participant was paying attention to how much they earn
% for each correct prediction.
%% Test
testtxt1 = ['How much are you rewarded for \n\n'...
'getting a prediction right? \n\n'...
' \n\n'...
'(1) 1 p (2) 0 p (3) 5 p (4) 2 p \n\n'...... |
%%
% UWHL MISSION PROFILE
% We assume constant acceleration and deceleration, this gives us the following profile.
% Conversion factors to SI Units
Miles2Metres = 1609.344;
mph2ms = 1609.344/3600;
% Constants: 4.5 miles to accelerate, Vm set to 1000 miles per hourl
% Distance in metres (5000 ft track length ~ 0.9469... |
classdef tseries < irisinp.generic
properties
ReportName = 'Time Series';
Value = NaN;
Omitted = @error;
ValidFn = @istseries;
end
end
|
function transformLabel(year, imgset)
if nargin < 1
year = '2014';
imgset = 'Main/train_test_coco_clean';
%error(['usage: year, imgset: 2007, train ']);
end
rootPath = ['./COCOclean/Labels/']
if ~exist(rootPath, 'dir')
mkdir(rootPath)
end
addpath([cd '/VOCcode']);
VOCinit;
classToId = containers.Map(VOCopts.cla... |
{{Yu[i1, i2], ((-17*g1^2)/20 - (9*g2^2)/4 - 8*g3^2 + 3*trace[Yd, Adj[Yd]] +
trace[Ye, Adj[Ye]] + 3*trace[Yu, Adj[Yu]])*Yu[i1, i2] -
(3*(MatMul[Yu, Adj[Yd], Yd][i1, i2] - MatMul[Yu, Adj[Yu], Yu][i1, i2]))/2,
((1187*g1^4 - 270*g1^2*g2^2 - 3450*g2^4 + 760*g1^2*g3^2 + 5400*g2^2*g3^2 -
64800*g3^4 + 900*\... |
function A = SteadyConvectionCoeffMatrix(mesh)
% set up symmetric matrix
A = zeros(mesh.nNode, mesh.nNode);
g = zeros(size(mesh.x));
% Build matrix -- one column at a time
for i = 1:mesh.nNode
g(i) = 1;
Avec = SteadyConvectionRHS(mesh, g);
A(:, i) = Avec(:);
g(i) = 0;
end% for
end% func |
function [dFF_suite2p, Mask_rois, centroid] = Load_Fall_suite2p(varargin)
% suitsp で出力した Fall.mat から
% F: ROI fluorescence
% Fneu: Neuropil fluorescence
% iscell: ROI is cell or not (1/0)
% stat: other inof. like ROI position
switch nargin
case 0
[F, Fneu, iscell, stat] = load_Fall;
imgsz = 320;
... |
function [A,B,Na_new,Nb_new]=Unimolecular_Reaction_Forward(A,B,Na,Pf)
r1=rand(1,Na);
dtemp=(r1<Pf);
if sum(dtemp)>0
Btemp=A(dtemp,:);
% n=size(Dtemp,1);
% Btemp=zeros(n,3);
% parfor i=1:n
% Btemp(1:n,:)=Dtemp(1:n,:);
% end
B=[B;Btemp];
A(dtemp,:... |
function result = Standard(filename)
X = load([strtrim(filename),'.txt']);
C_Label = load([strtrim(filename),'_label.txt']);
K = length(unique(C_Label)); % Number of clusters
distances = squareform(pdist(X));
sigma = max(distances(:));
order = 2;
tmp = distances.^order/sigma;
W = exp(-tmp);
C = NcutClu... |
clc; close all; clear all;
% metabolic for Jay's study
% December 1st 2017
%---------------------------------------------------------------------------------------------------------------------------------------%
system = 'WIN';
if strcmp(system,'OS')
path = '\\Mac\Home\Google Drive\3-Research\2016\Trial... |
% Script M-File: StirlingCalcs.m
% Written By: Christian Gruss
% Creation Date: 9/7/2016
%--------------------------------------------------------------------------------------------------------------------------------
% DISCLAIMER: All content of this file is the intellectual property of Christian Gruss.
% Any reprod... |
function [obj,idx,initIdx,nClusters,avgSpikeWaveforms,stdSpikeWaveforms]=spikeClustering(obj)
% Run clustering on previously extracted features
% [obj,idx,initIdx,nClusters,avgSpikeWaveforms,stdSpikeWaveforms]=spikeClustering(obj)
avgClusteredWaveforms=cell(1,obj.nCh);
stdClusteredWaveforms=cell(1,obj.nCh);
if isempty... |
global s
%% ZAD1
%wyznaczanie y_pp dla u_pp = 1.1
u_pp = 1.1;
t_sim = 300;
y = [0;0];
for k=2:t_sim
y_temp = symulacja_obiektu6Y(u_pp,u_pp,y(k),y(k-1));
y = [y;y_temp];
end
figure(1)
stairs(0:t_sim,y)
title('Przebieg sygnału wyjściowego dla ustalonego U_{PP}')
xlabel('k')
ylabel('y')
x = 0:t_sim;
xy = [x(:)... |
function [ A ] = normalizeMatrix ( A, m ,s )
%UNTITLED3 Summary of this function goes here
% Detailed explanation goes here
for i=1:size(A,2)
x = A(:,i);
nx = (x(:) - m(i)) / s(i);
A(:,i) = nx;
end
end
|
function op_plot_bar_NAc(xx,Meanvalue,semvalue,color,xlabel_str,ylabel_str,title_str,ylim)
hdg = bar(xx,Meanvalue,'barwidth',0.9,'linewidth',1.5,'facecolor',color);
hBaseline = get(hdg(1),'BaseLine');
set(hBaseline,'linewidth',1.5)
ylabel(ylabel_str,'Fontsize',30);
title(title_str,'Fontsize',30);
%set(hl,'location','n... |
function [current, currentMonomial, currentExponent] = current_gp(beta2, beta4, channelAmplitude, infoAmplitude, powerAmplitude, powerRatio)
% Function:
% - formulate output DC as a function of waveform amplitudes
% - decompose current as sum of monomials
%
% Input:
% - beta2: coefficients... |
%-------------------------------------------------------------------------------
% computes global mean radiative fluxes at toa
%
% should be general enough to easily use with multiple experimens
%
% levi silvers july 2018
%--------------------------------------------------... |
%% This function recons images using the regredding method
function [] = Bruker_recon_3Dradial_4element_array_coil1(runno, dv, kv, dcfv, mat, acq, keynumber)
%===============INPUTS====================
%runno=run number
%dv=k-space data
%kv=k-space coordinates for the data in dv
%dcfv=density compensation fact... |
clc;
clear all;
imagen = imread('dont.JPG');
%train
pause(0.5)
%%%%%%%%%%%%%%%
%% Image segmentation and extraction
%% Show image
figure(1)
imshow(imagen);
title('INPUT IMAGE WITH NOISE')
pause(0.5)
%% Convert to gray scale
if size(imagen,3)==3 % RGB image
imagen=rgb2gray(imagen);
end
%% Convert to binary image
t... |
% function [mu, sigma, R, Q, Lambda_M] = init()
% This function initializes the parameters of the filter.
% Outputs:
% mu(0): 3X1
% sigma(0): 3X3
% R: 3X3
% Q: 2X2
function [mu, sigma, R, Q, Lambda_M] = init()
mu = [0; 0; 0]; % initial estimate of state
sigma = 1e - 10*diag([1 1 1]); % initial... |
A1 = csvread('/home/mskim/autron/driver_data/170518/TW/170518_test1_TW/170518_test1_TW_L1.csv', 1);
A2 = csvread('/home/mskim/autron/driver_data/170518/TW/170518_test1_TW/170518_test1_TW_L2.csv', 1);
B1 = csvread('/home/mskim/autron/driver_data/170518/JH/170518_test1_JH/170518_test1_JH_L1.csv', 1);
B2 = csvread('/home/... |
function [geoAng] = ari2geodeg(ariAng)
%ARI2GEODEG converts arithmetic angles to geographic angles.
% ariAng is a scalar, vector, or matrix of angles in degrees,
% such as those produced with atan() or atan2().
% geoAng is an output of size(ariAng) with angles converted to
% geographic headings (North = 0, with an... |
function ShowSylvInertia()
% function ShowSylvInertia()
% Illustrate the Sylvester Law of Inertia
% GVL4: Section 8.1.5
clc
fprintf('Sylvester Law of Inertia\n\n')
% Generate a matrix with negative, zero and positive eigenvalues...
n = 20; X = randn(n,ceil(n/3)); Y = randn(n,ceil(n/4)); A = X*X' - Y*Y';
evA =... |
function [H2to1] = computeH_norm(points1, points2)
% input points
% points1, points2 -- 3 x N
% find the rows and columns of each point set
[rows, columns] = size(points1);
[rowsxy, columnsxy] = size(points2);
% calculate the centroid of each point set
cent = mean(points1(1:2,:)')';
cent2 = mean(points2(1:2,:)')';
... |
% Close all figures, clear variables in memory and MATLAB command screen
close all; clear all; clc;
% Set the output format to the short format with compact line spacing
format short; format compact;
% Specify values and necessary parameters
x = [0 2 3 5 8];
y = [-6 0 7 21 65];
A = [length(x) sum(x) sum(x.^2);
... |
% 旋翼挥舞动力学方程推导
syms p A B C D E F G nb e mux muy l ex ey
Lbeta = [1 cos(p) sin(p);
1 cos(p-2*pi/3) sin(p-2*pi/3);
1 cos(p-4*pi/3) sin(p-4*pi/3)];
Lbeta_p = diff(Lbeta,p);
Lbeta_pp = diff(Lbeta_p,p);
Lbeta_inv = inv(Lbeta);
h1 = A+2*(B*cos(p)-C*sin(p))+4*nb*(D+E*cos(p)+F*sin(p));
h2 = A+2*(B*c... |
function [D]=particle_distance_calculation(particle_sigma)
% Function: calculate the distance between each particle
% Inputs:
% particle_sigma - the sigma vector of particles
% Outputs:
% D - the distance martix
n_particle=size(particle_sigma,1);
for i=1:n_particle
... |
function [Vector_struct,numCond,cond_code,cond_name]=EEG_makeVector(...
EEG,Task,Condition,phase_in,varargin)
%calculate target events for conditions that we want to separate into
%4POP: {6 5}
%WM: {[31 32],[33 34],[35 36]}
% Optional paramters:
% 'acc': provided Accuracy information, the vector will only include... |
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% MLS.m %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% function [point,par,info]=MLS(fun,point,step,par,tune,info);
%
% try to significantly improve func... |
function [mainpts]=most_common_startlocations_find(data,start_date,end_date)
routes=data.routes;ways=data.ways;wayindex=data.wayindex;
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
start_points = zeros(20000,1);
end_points = zeros(20000,1);
for i=1:size(routes,2)
rt=routes(i);
date=find_date(rt);
if datenum(dat... |
%
% irpGetGrayMask extracts a gray code mask from a sequence of "stripe images"
% which were created by irpGetStripeImages.
%
% Usage:
% grayMask = irpGetGrayMask(striped);
% images{1} = bright
% images{2} .. images{last-1} = projector
% images{last} = dark
function GrayMask = irpGetGrayMask(images)
last = size(im... |
function plotboundary(labels, features, model, varargin)
% PLOTBOUNDARY Plot the SVM classification boundary in Exercise 8
%
% plotboundary(labels, features, model, fill_on) plots the training data
% and decision boundary, given a model produced by LIBSVM
%
% The parameter 'fill_on' is a boolean that indi... |
clear all;
% Create the mapping table first by running
load FileWav16kHz
% see create_gmm for what to be loaded by FileWav16kHz
% load SvdClassTmN
% SvdClass(ClassDef, FromGroup, RefGroup)
% .U (SVD vectors)
% Class(ClassDef, Group)
% A1) M -> M; 1 ->... |
function pushbutton_Callback(hObject,eventdata)
s=get(hObject,'UserData');
studentno=s.studentno;
global students;
startpos=s.startpos;
stoppos=s.stoppos;
h1=s.h1;
h=s.h;
a=s.a;
ui=s.ui;
% switch student's choice to second choice
students(studentno).areachoice = students(student... |
function dist = distance(pts)
# finds distance between pairs of points and adds them sequentially
# always absolute value of distance
# must be at least two points
# pts rows correspond to the different axes
dist = 0;
# iterate from one point to the next
for i = 1:size(pts,1)-1
# distance is the sq... |
classdef initial_conditions
properties(Access=private)
percentage_loaded
S
Q
QS
end
methods(Access=public)
function obj=initial_conditions(Smax,percentage_loaded)
obj.percentage_loaded=percentage_loaded;
obj=obj.set_initial(Smax);
... |
function [ bx , by , bz ] = bezier2 ( Bx , By ,Bz ,u , v )
% Opis :
% bezier2 vrne točke na Bezierjevi ploskvi iz tenzorskega
% produkta
%
% Definicija :
% [bx ,by ,bz] = bezier2 (Bx ,By ,Bz ,u,v)
%
% Vhodni podatki :
% Bx , By , Bz matrike velikosti n+1 x m+1 , ki določajo
% koordinate kontrolnih točk ,
% u, v vrstici... |
function [poly_x, poly_y] = gen_traj(a)
% Interpole les trajectoires sur x et y avec des splines.
poly_x = spline(a * r_consts.traj_time_values, [0 r_consts.traj_x_values 0]);
poly_y = spline(a * r_consts.traj_time_values, [0 r_consts.traj_y_values 0]);
end |
function PlotEEG(A, data, showLabels)
%PLOTEEG - Plots a spatial mapping of EEG electrodes and fills electrodes with color.
%
% WARNING: EEGPLOT is an internal method for brainPlot and is not meant to be called externally.
%% CHANGELOG
% Written by Josh Grooms on 20130626
% 20140828:
%% Initialize
if n... |
clc
clear all
format long
D=0.1;
gama =1;
in=0;fn=5;
dt = 0.01;
endstep =(fn-in)/dt;
tspan=in:dt:fn;
realization = 10000;
v0 = 1;%initial velocity
v = zeros(realization,endstep);
v(:,1) = v0;
for i=1:realization
noise = wgn(1,endstep+1,2*D);
for j=1:endstep
v(i,j+1) = v(i... |
function map = proj_panoview(cld, vertex, face)
orig = cld.orig;
orig_x = orig(1);
orig_y = orig(2);
X = cld.X;
Y = cld.Y;
Z = cld.Z;
[m, n] = size(X);
vert1 = vertex(face(:,1),:);
vert2 = vertex(face(:,2),:);
vert3 = vertex(face(:,3),:);
%% compute the depth of all vertex
depth... |
function[header]=getBlockHeaders_smr(fID,chan)
% getBlockHeaders_smr returns a matrix containing the data block headers
% in file 'fID' for channel 'chan'.
% The returned header in memory contains, for each disk block,
% a column with rows 1-5 representing:
% Offset to start of block in file
% ... |
function [resMat,resMatNames,numImPts] = getTifBoundary(coords,img,object,imgName,distThresh,fibKey,endLength,fibProcMeth,distMini)
% getTifBoundary.m - This function takes the coordinates from the boundary file, associates them with curvelets, and produces relative angle measures.
%
% Inputs:
% coords - the locat... |
function generateTextReport(filename, ...
Results, ...
FeatureSelection, ...
additional, ...
ClassifyOptions, ...
CrossValidationOptions, ...
SelectionO... |
a = zeros(1,10);
for n = 1:10
a(n) = sin(n-1);
end
ham = transpose(hamming(10));
input = (a) .* ham;
fourierTransform = fft( input );
output = abs(fourierTransform) .* abs(fourierTransform) ./ 10;
|
function [isi_sec,FR_Hz,Icmd,medV,Vcmd,medI]=spikeSummary(dataDir,spikeFile)
cd(dataDir)
% Load spike file
load(spikeFile);
spikes_in=out;
clear out;
% Load data file
daq_in=load(strrep(spikeFile,'spiketimes','daqout'));
% Median membrane potential or holding current
[medV,medI,Vcmd,Icmd]=deal(nan);
if isnan(daq_... |
%**************************************************************************
% - Exercises E04 -
% Excercise 5 - Image Filtering II - MATLAB
%
% Date:
% Name:
%**************************************************************************
close all;
% load image
img_noise = imload ... |
function ret = arraydelta(beta, a, X, Y)
ret = beta*(a(1).*X+ a(2).*Y) - (beta-1)*(X.^2 + Y.^2);
endfunction
%!test
%! a = rand(2, 1);
%! X = [2,2;2,2]
%! Y = [-1,-1;-1,-1]
%! assert(arraydelta(0,a,X,Y), [5,5;5,5], eps)
%!test
%! a = rand(2,1);
%! beta= rand*6;
%! X = rand(10, 10);
%! Y = rand(10, 10);
%! assert(ar... |
function [nb,Apdf,normpdf,amp,burstinds] = burstAmpHistHMM(dataX,fsamp,bins,minbs,winmark,dataC)
dataX = decimate(dataX,5);
XH = (abs(hilbert(dataX)));
if nargin>6
dataC = decimate(dataC,5);
end
fsamp = fsamp/5;
minbs = fix(minbs/5);
%% Resample WinMark
winMarkInds = ceil(find(winmark)/5); %these are the transitions... |
function [Q,Qx,Qy] = MESH2PTS(MESH, Pts)
%MESH2PTS returns a matrix that represents an interpolation from the nodes
%of the provided mesh to the required points. Brute-force searches employed
%here.
%
% USAGE:
% Q = MESH2PTS(MESH, Pts); % Verify: Pts = Q*MESH.Nds;
% INPUTS:
% MESH : Struct containing mesh i... |
% xPlotGrid3D.m
%
% A way of visualising 3D grid search data
%
% Created 6 October 2017
function xPlotGrid3D
% Main Function
% Load in Grid Search Data
load('~/Documents/DPhil/Data/GridSearches/CSF_Grids/Grid_TE_40_OEF.mat');
np = max(size(pos));
nz = min(size(pos));
val1 = linspace(0,1,nz);
fig1 = MakeF... |
function varargout = calculateFlyStats(fname, refOdor)
%CALCULATEFLYSTATS Initial analysis of fly tunnel behavioral data.
% FLYTRACKS = CALCULATEFLYSTATS(FLYTRACKS) performs data pre-processing,
% calculates several useful metrics for individual flies (including
% velocity, distance traveled, and odor choice prob... |
% practical2
clear
clc
close all
% Input parameters
m = 1; l = 1; lc = 0.5; Izz = (1/3)*m*(l^2); g = 9.81;
%initial state
y1_0=0;
y2_0=0;
ti=0;
tf=3;
[t,y]=ode45(@practical2_diff,[ti,tf],[y1_0; y2_0]);
T=t;
Y1=y(:,1)
Y2=y(:,2);
for i=1:length(T)
dy=practical2_diff(T(i), [Y1(i), Y2(i)]);
... |
function NormedArray = MaxNormalize(Array)
NormedArray = Array / max(max(Array));
end |
function [proj_points, t, R] = ar_cube(H,render_points,K)
%% ar_cube
% Estimate your position and orientation with respect to a set of 4 points on the ground
% Inputs:
% H - the computed homography from the corners in the image
% render_points - size (N x 3) matrix of world points to project
% K - size (3 x 3)... |
function [b,cbar_old]=find_stable_sort(x_count,x_index,box_count)
k=box_count;
c=zeros(k+1,1);
N=length(x_count);
for i=1:N
c(x_count(i))=c(x_count(i))+1;
end
% temp = 1:(k+1);
% temp2 = x_count;
% c=histcounts(x_count,'BinLimits',[1 k]);
% if sum(c)>N
% keyboard
% end
% c(end+1) = ... |
% input
file_name = input('Enter file name: ','s');
cycle = input('Enter cycle: ');
% load data
file_graph = fullfile(pwd,file_name);
edgList = load(file_graph);
tutte(edgList, cycle); |
clear; clc;
%% Set Up
% Copy and paste below output files from Xilinx simulation directory to this
% scripts local directory 'output_files' folder
% output_files\image_data.txt
% output_files\horz_filter_output_data.txt
% output_files\vert_filter_output_data.txt
% output_files\sum_filter_output_... |
function DATASET = toyData()
DATASET.DESCRIPTION = 'Toy test data.';
DATASET.FILE = 'toyData';
DATASET.GROUPS = {
'toy'
};
DATASET.FIELDS = {
's1' 1 't' 's1_mean' 's1_std' 1 []
's2' 1 't' 's2_mean' 's2_std' 1 []
's3' 1 't' 's3_mean' 's3_std' 1 []
's4' 1 't' 's4_mean' 's4_std' 1 []
}; |
%optimized code
function [MSE, fmvs_x, fmvs_y] = fractionalblockmatching(previous_pic, current_pic)
global fig_no;
%global blocksize;
%global factor;
global frame_size_h;
global frame_size_w;
factor = 0.5;
blocksize = 4;
search_param = 8;
[frame_size_h, frame_size... |
x = 0:0.001:10
y = sin(x .^ 2) + e .^ (0.1 * x)
z = 1 + e .^ (0.1 * x)
t = -1 + e .^ (0.1 * x)
plot(x, y, 'b')
hold on
plot(x, z, 'r', x, t, 'r')
|
clc
clear all
[num,txt,new_york]= xlsread ('new_york.xlsx');
[num1,txt1,kuzeydogu]= xlsread ('kuzeydogu.xlsx');
new_york_posta_kodu=new_york(:,1:1);
new_york_toplam_nufus=new_york(:,2:2);
new_york_toplam_konut_birimi=new_york(:,3:3);
new_york_arazi_alani_metrekare=new_york(:,4:4);
new_york_su_alani_metrekar... |
% 315CA Dinu Ion-Irinel
function out = bicubic_resize_RGB (img, p, q)
% ======================================================================
% Resize image img a.i. it should be of size p x q.
% The img image is colored.
% Basically, it calls the bicubic_resize function 3 times on each channel of the ... |
function [compcheck,Cred,Bx] = compat1( Cx,cx,Bx )
%{
Compatibility check b/w
a set of assingments (Cx) and an assignment (Cx)
over a single r.v.
Input:
Cx: Nr x 1 array of assignments
cx: scalar of assignment
Bx: Ns x Nbs array of basic state indicator
Output:
compcheck: Nr x 1 array of logical index
... |
clc; clear; close all;
%% importing data
data = importdata('./data/q24_2.txt');
x1 = data(:,1);
x2 = data(:,2);
y = data(:,3);
cftool |
function upper_layer = trainUpperLayer(lowernn,features,labels,param)
num_category = size(labels,2);
num_epochs = param.num_epochs;
batch_size = param.batch_size;
lambda = param.lambda;
alpha = param.alpha;
%Bottom-up forward
forward_train_feature = forwardFeat(lowernn,features);
%initializatio... |
function ts_disp
disp('hello');
why;
ones(5,5)
exit() |
function orthospm3b(threshold, onsets, window ,spm_file, anat_file, tseries_path, func_root )
% function result = orthospm3b( threshold ,
% onsets,
% window
% [,spm_file ,
% anat_file,
% ... |
function [U,P] = btf2factor(B)
% convert the struct item B into factors U,P{1},P{2},...,P{l+1}
% A = U * P{l+1} * P{l} * ... * P{1}
% (used for debugging)
U = [];
for i=1:length(B.U)
U = blkdiag(U,B.U{i,1});
end
P = cell(length(B.P),1);
P{1} = [];
for i=1:length(B.P{1,1})
P0 = B.P{1,1}{1,i}.E;
P0 = [... |
% fast_fd_2d_chunk : wrapper for the 'fd' eikonal solver from FAST
%
% CALL :
% t=fast_fd_2d(x,z,V,Sources);
%
% x,z : [km]
% V : [m/s]
%
%
% 'fd' is an efficient FD soultion of the eikonal equation, and is
% a part of the FAST pacjage created by Colin Zelt :
% http://www.geophysics.rice.edu/department/facult... |
function [ bits ] = visualize_image( image )
% NAME: visualize_image
%
% DESCRIPTION:
% Byte-scale the image to 8 bits and/or reduce
% to true color for visualization
%
%@
% Copyright 2016 The Johns Hopkins University Applied Physics Laboratory
%
% Permission is hereby granted, free of charge, to any ... |
function [R,fval] = estimateR_fused(S,W,lambda,R0,tol)
F = size(S,1)/3;
P = size(S,2);
S1 = zeros(3,P,F);
W1 = zeros(2,P,F);
R1 = zeros(3,3,F);
for i = 1:F
S1(:,:,i) = S(3*i-2:3*i,:);
W1(:,:,i) = W(2*i-1:2*i,:);
R1(:,:,i) = [R0(2*i-1:2*i,:);cross(R0(2*i-1,:),R0(2*i,:))];
end
[R2,fval] = updateRotations(W1... |
% userCorrelation.m
% Dan Hirlinger
% 11/6/2020
clear;clc;
% This is a script you should use for Problem 2 in order to verify the performance
% of your solution. Make sure your code can automatically adjust to signals of different lengths.
% Your code should create two array variables:
% Example vectors from test
%x... |
% Define a starting folder wherever you want
warning('off','all');
topLevelFolder = uigetdir(pwd);
if topLevelFolder == 0
return;
end
allSubFolders = genpath(topLevelFolder);
remain = allSubFolders;
listOfFolderNames = {};
listOfFileNames = {};
listFileNames = {};
listOfFullFileNamesPath = {};
while true
[singleS... |
function res = transactConvISA(data, isa1, isa2, pa_layer)
if nargin<3
pa_layer.type = 'lhthresh';
pa_layer.lowthresh = 0.1;
pa_layer.highthresh = 1;
pa_layer.usegpu = 0;
end
% A combination of data transform and activations for ISA, faster & mem
% memory efficient
%% obtain size/stride parameters from i... |
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