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function [y,e,w]=lms(x,d,Nw,mu)
N=length(x);
w=zeros(Nw,1);
x=[zeros(Nw-1,1);x];
y=zeros(N,1);
e=y;
i=1;
while i<=N
y(i)=w'*x(i:i+Nw-1);%filtering, aka, y = x conv w
e(i)=d(i)-y(i);%error = desire signal - output error
dw=mu*e(i)*x(i:i+Nw-1);
w=w+dw;%update filter kernel
i=i+1;
end
end
|
function [ da, xall_list, lall_list, xv_list, lv_list] = geovoronoi(xyz, esax, psax)
%gpath = getenv('GITHUB_PATH');
%addpath(fullfile(gpath, 'geographiclib-code/matlab/geographiclib'));
%
%
% Assumes z-orientation of the symmetry axis
%
% esax:: equatorial semi axis
% psax:: polar semiaxis
%
%
%
%
%
%
%
chi = esax/p... |
clear all;
close all;
clc;
load('filter2.mat');
x = a{1};
z = upsample(a{2},3);
for l = 1:3
z = conv(a{2},z);
z = upsample(z,3);
end
z = downsample(z,3); |
function number = PorN(number)
% return whether a number is positive
if number > 0
number = 1;
elseif number < 0
number = -1;
else
number = 0;
end
end
|
run(global_var_file);
sc_m=all_sc_m(1);
sc_n=sc_m-1;
koshino_bands_filename = ['TwBLG_tbh-bands_',num2str(sc_m),'_',num2str(sc_n),'_koshino-inter'];
dft_bands_filename = ['TwBLG_tbh-bands_',num2str(sc_m),'_',num2str(sc_n),'_dft-inter'];
%{
fprintf(['loading file: ' koshino_bands_filename '.mat \n']);
load([bands_d... |
% This class creates objects for displaying and analyzing fiber scans from
% a LUNA optical backscatter reflectomer. LUNA objects are created from a
% source file:
% >> object=LUNA(filename);
% Binary (*.obr) and text files are both accepted. If no file is
% specified, the user is prompted to select one.
%
% LUNA... |
% show color features
function mk_monkeyInDiffColorSpace
clc;clear all;close all;
currFrame=imread('C:\zxk\Research\monkeyData\Camera1_extractedVideos\_extracted_100\Temp1-121668.png');
figure;imshow(currFrame);colormap(jet);title('Original');
figure;imshow(currFrame(:,:,1));colormap(jet);title('RGB_R');
figure;im... |
clear
close all
clc
folder='R:\Projects\NRI\User_Study\Data\txtFile\';
filenames={'TestRegA.txt'
'TestRegA2.txt'
'TestRegB.txt'
'RegTestSept15.txt'
'OrganRegNewJSept15.txt'};
% 'TestRegA3.txt % Continuous data, not easy enough to parse, ignored
labelList=[51,52,50,53]... |
clc
clear all
% pitch=5:10:95;
% thita=6:2:24;
% pitch=5:10:95;
%unit: um
lambda=632.8e-3;
db=10000;
for m=6:10
for n=1:5
clear x y
thita=6;
type=500;
offsetx=42000+(n-1)*8000;
offsety=(m-1)*8000;
T=lambda/asin(thita/180*pi);
pitch=ceil(type/T)*T;
... |
function [motilities_out filolengths_out] = motility (drawings, labels, opts)
%A DYNAMO ANALYSIS FUNCTION
%All Dynamo analysis functions take three arguments:
% drawing: a Dynamo saved structure containing the fields 'states' and 'traits'
% labels: a structure containing the annotation key used in drawing
% ... |
%@(#) cycstep.m 1.13 00/10/06 12:38:39
%
function cycstep
load simfile
tx=readtextfile('comp-ref.sim');
stx=size(tx);
tx(1,:)=setstr(32*ones(1,stx(2)));
tx(1,1:41)=sprintf('%s%5.0f%s%5.0f%s','TITLE Burnup case ',blist(1),' - ',blist(2),' EFPH');
row=bucatch('OPTION',tx(:,1:6));
tx(row,:)=setstr(32*ones(1,st... |
run_set_path
rng('shuffle');
nVidNodes = 1;
nDataNodes = 1;
nWebNodes = 1;
videoBpsMultiplier = 0.5;
dataBpsMultiplier = 0.5;
webBpsMultiplier = 0.5;
% Load in a real video file to test against
vu = video_util();
vu.nFrames = 250;
vu.prep();
slotsPerVPacket = 10;
qualityThresholdMicrosec = 50000; % 50 miliseconds
... |
function [ correct, prob ] = weka_evaluation( classifier, vecTest, gtTest )
%WEKA_EVALUATION Summary of this function goes here
% Detailed explanation goes here
% add weka path
% javaaddpath('/home/evargasv/weka-3-7-11/weka.jar');
if strncmp(computer,'PC',2)
javaaddpath('C:\Program Files\Weka-3-7\weka.ja... |
function pochodnapar
% obliczyc pochodne funkcji y=f(k*sin(k*x))
% deklarowanie zmiennych
syms t k
%funkcja zdefiniowana parametrycznie
x1=k*sin(t)+sin(k*t);
x2=k*cos(t)+cos(k*t);
%1-sze pochodne
dx1dt=diff(x1,t)
dx2dt=diff(x2,t)
%2-gie pochodne
d2x1d2t=diff(x1,t,2)
d2x2d2t=diff(x2,t,2)
return |
clear all; close all; clc
figure
rndSeed = round(1000*rand);
% rng(rndSeed)
N = 10; % number of agents
X = rand(N,1); % actual performance indices
Y = ones(N,1); % initial guess of performance indices
k = 1/N; % update gain
% do over coalitions
for i = 1:500
% create a vector e such that agents corresponding... |
% [x,ret] = barvinok(K,P,itn,epsilon,xsdp,rsdp)
%
% Barvinok's "naive algorithm" based on concentration of measure
% (optional) xsdp and rsdp: solution of the SDP (found by sdpnlp)
function [xstar,ret] = barvinok(K,P,xsdp,rsdp,itn,epsilon)
grads = 0; % use linesearch local NLP solver
if (nargin < 6)
epsilo... |
% figure;
% plot(vzlist,rs);
% hold on;
% plot(vzlist,abs(en));
list=linspace(0,.2,100);
rss=zeros(length(list),1);
for i=1:length(list)
rss(i)=w(list(i));
end
|
close all
clc
tic;
%% Read image into the workspace.
img0 = double(imread('../../middlebury_dataset/Motorcycle/im0.png')); %left POV - shifted to right
img0 = imresize(img0,1/5);
%%
img1 = double(imread('../../middlebury_dataset/Motorcycle/im1.png')); %right POV - shifted to left
img1 = imresize(img1,1/5);
img0 = img... |
%% Mohit Shukla
%Informative Prior
data=xlsread('C:/Users/caped_crusader/Bayesian Data
Analyses/Assignments/HousePrice.xlsx');
%Hyperparameters
V_pr=[2.4 0 0 0 0;0 6*10^-7 0 0 0;0 0 0.15 0 0; 0 0 0 0.6 0; 0 0 0 0
0.6];
b_pr=[0;10;5000;10000;10000]; %Prior beta
h=4*10^-8;
N=546;
n_pr=5; %Prior nu
... |
fgIndex = csvread('case.csv',1);
bgIndex = csvread('control.csv',1);
expData = readtable('expression.csv');
annot = readtable('annotations.csv');
annot = annot(:,2);
inputNetwork = readtable('network.csv');
platformGene = unique(annot);
edgesToKeep = sum(ismember(table2array(inputNetwork(:,[1,2])),table2array(platformG... |
function result = ex_CSTask(e)
% ex file: ex_CSTask
%
% Uses codes in the 2000s range to indicate stimulus types
% 2001 - visually guided saccade
% 2003 - delayed visually guided saccade
%
% Uses codes in 1500s range to indicate properties of trials
% 1500 - target is on the right hemisphere
% 1501 - target i... |
function [yr,mo,dy,hr,mi,se,data,index] = timeSeriesData(timeData,timeStep,t1,t2,predata)
%% This script detects and fills gaps in time series data using autoregressive modeling
% [timeData]: timeInput in the format of matlab datetime
% [timeStep]: time steps of desired time series e.g. hours(1)-->every 1 hr
% he... |
%% Only include subs with complete data
mod_wrksht = analysis_matrix;
count = 0;
for i = 1:size(analysis_matrix,1)
skip_row = 0;
for j = 1:size(mod_wrksht,2)
if isnan(mod_wrksht(i,j))
skip_row = 1;
end
end
if ~skip_row
count = count + 1;
complete_subs(count,:... |
function str = CreatePolyFromMatrix(A,C,names,precision,target)
persistent BLOM_FunctionCodes
if isempty(BLOM_FunctionCodes)
BLOM_FunctionCodes = BLOM_FunctionCode('codes_struct');
end
if (nargin < 4)
precision = 'high';
end
if (nargin < 5)
target = 'matlab';
end
str = '';
idx = find(C... |
function x = bisection(Ffun, a, b, maxit, tol)
%
% Usage: x = bisection(Ffun, a, b, maxit, tol)
%
% This routine solves the scalar-valued nonlinear equation f(x)=0
% using the bisection method to a residual tolerance of tol.
%
% inputs: Ffun nonlinear functional
% a REAL lower-bound on in... |
clear paramsAll;
clear params;
params.Gridjob.runLocal = false;
params.Gridjob.requiremf = 5000; % measured 3400 MB
params.Gridjob.wc_host = '!(*saturn*|*c01grid*|*ramsauer*|*kuma*|*taygete*|*helike*|*leda*|*jupiter*)';
params.Gridjob.jobname = 'Connectome';
params.Gridjob.continue = true;
params.Gridjob.initRandStre... |
% RGB2LAB - RGB to L*a*b* colour space
%
% Usage: Lab = rgb2lab(im)
%
% This function wraps up calls to MAKECFORM and APPLYCFORM in a conveenient
% form. Note that if the image is of type uint8 this function casts it to
% double and divides by 255 so that the transformed image can have the
% proper negative values for... |
function [spikes] = spikeclient(selfip,selfport,remoteip,remoteport)
spikes = [];
pnet('closeall');
initt0 = tic;
while 1 %Auto reconnect on failure
sock=pnet('udpsocket',selfport);
if sock == -1
error('Could not open port %d',selfport);
end
... |
% process FEA results
loadName = 'FEA_processed_data';
saveName = 'FEA_processed_data';
renew_data_load = true
% renew_data_load = false
er = 0.1;
circleDistance = 5000; % distance from base to haltere
bulbA = [500,500, 500,500, 353.543,353.543, 1000,1000, 500,500, 353.543,353.543, 1000,100... |
function [ robot ] = robotInit( robotName, robotType, portNumber )
%ROBOTINIT Initializes the robot
% ROBOTINIT initializes the robot for use with other commands.
% It is used as follows: robot = robotInit(robotName, robotType)
%
% robotName is a string, i.e. 'broodwich', 'madonna', 'samir'
% robotType is a... |
function x = ndgridmat(varargin)
%NDGRIDMAT Matrix of grid points.
% y = NDGRIDMAT(x1,x2,...) returns one matrix containing all grid points
% as rows. It is the same as concatenating the results of NDGRID.
% First dimension varies fastest:
% y(1,:) = [x1(1) x2(1) ...]
% y(2,:) = [x1(2) x2(1) ...]
% Written by Tom M... |
function [F] = update_F(Z, k)
n = size(Z, 1);
opts.disp = 0;
% [U,~,V] = svds(Z, k, 'largest', opts);
% F = (U*V')';
[Ftmp, ~] = eigs(Z+Z', k, 'la', opts);
F = Ftmp';
end
|
set(groot, 'DefaultTextInterpreter','latex', 'DefaultLegendInterpreter','latex');
close all
clear
% N -- grid size
% p -- probability of a neuron starting in the firing state
% t -- time steps per simulation
% s -- number of simulations
% st -- time steps for which to save the state
N = 40;
P = 0.3;
T = 1000;
... |
%Creates the graph of a parabola given two points along the directrix and the focus.
%The domain is between the two points given along the directrix.
## Author: Luis <Luis@DESKTOP-I49GOFE>
## Created: 2017-06-21
function [ L , R ] = create_parabola( T , P , n )
P1 = P( : , T( 1 ) ); %First point along ... |
%---------------------------------------------------------
%
% This function draws the OS4 robot.
%
%
% Developed by Marcelo Becker & Samir Bouabdallah
% EPFL - October, 2005
%
% BECAUSE THE PROGRAM IS LICENSED FREE OF CHARGE, THERE IS NO WARRANTY
% FOR THE PROGRAM, TO THE EXTENT PERMITTED BY APPLICABL... |
function [x,xp,yp] =circle(x,y,r)
ang=0:0.01:2*pi;
xp=r*cos(ang);
yp=r*sin(ang);
%plot(x+xp,y+yp);
end |
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% 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 [lambdas, Q] = mQRdynaPas(A, k, tol)
M=length(A);
B=A;
i=M;
j=1;
[Q,A]=hess(A); %La vuelve en forma hessenberg
[X,R]=qr(A); %Aplicamos QR una vez
A=R*X;
Q=Q*X;
while (i>1)
T=Q'*B*Q;
U=eye(M);
while (abs(A(i,i-1))>tol)
an = T(i,i); %shift din?mico de Wilkinson
an1 = T(i-1,i-1);
... |
function [ homogeneities ] = homogeneity( parcels, Z )
%HOMOGENEITY Parcel homogeneity.
% Homogeneity of a parcel is measured by calculating the average
% similarity between every pair of vertices assigned to it. A global
% homogeneity value for the entire parcellation can be later obtained by
% averaging the... |
function [val]=evaluate_objective_noreg(Tr,R,target,configs)
val=1/2*(configs.lambda_1*trace(R'*Tr.L_user*R)+...
configs.lambda_2*trace(R*Tr.L_poi*R')+...
configs.lambda_3*sum(sum((R-target).^2)));
end |
function y = WhiteNoise( length )
%WHITENOISE Uniform Distributed White Noise Generator
% Generate white noise of length long
y = unifrnd(-1,1,1,length);
end
|
order = 4;
filename = "fivewo.wav";
[X,Fs] = audioread(filename);
norm = Fs/2;
value = input('Enter the number of bandpass filters \n');
[B_l, A_l] = butter(order*2, 240/norm);
noise = rand(1,length(X));
result = zeros(1,length(X));
B = [;];
A = [;];
Y = [;];
Y_e = [;];
Y_el = [;];
r = nthroot(5760/90, va... |
function [cellcount,cellsum,cellsize] = mc_CellSummary(map,nets)
u = unique(nets);
cellsize = [];
cellcount = [];
cellsum = [];
idx = 1;
for i = 1:numel(u)
for j = i:numel(u)
ii = u(i);
jj = u(j);
mask = zeros(418,418);
mask(nets==ii,nets==jj) = 1;
mask(nets==jj,nets==ii) =... |
function [V,F,I] = capsule(n,a)
% [V,F,I] = capsule(n,a)
%
% Inputs:
% n number of faces along latitude of each hemisphere
% a length of cylindrical portion
% Outputs:
% V #V by 3 list of vertex positions
% F #F by 3 list of triangle indices into rows of V
% I #F list I(f) = 1,2 or 3 in... |
% Function to execute CoFE analysis
% Anthony Ricciardi
%
% Inputs
% inputFile - [string] name of NASTRAN-formatted bulk data input file
% CASE - [1x#subcases case_obj] array of objects containing case control data
%
% Output
% FEM - [1x#subcases fem] Array of finite element model and solution objects
%
f... |
function rm_axes_interactions(ax)
for iax=1:numel(ax)
disableDefaultInteractivity(ax(iax));
ax(iax).Interactions=[];
end
end |
function [interpedx,interpedy,interpedz] = nsimplex_3vec(datx,daty,datz,x_comp_int,y_comp_int,z_comp_int)
mx = mean(x_comp_int,2);
my = mean(y_comp_int,2);
mz = mean(z_comp_int,2);
x12 = x_comp_int(:,1) - x_comp_int(:,2);
x23 = x_comp_int(:,2) - x_comp_int(:,3);
x13 = x_... |
% FLUID THERMAL CODE FOR COMPARING THEORETICAL AND EXPERIMENTAL PUMP HEADS
% Predict Pump System Perfomance
% Calculates pump head
close all; clear all; clc
% set units (uscs or si)
units = 'uscs';
% we are going to get the z2 height from an input box
z2 = inputdlg('Provide the outlet height (inlet height assumed t... |
function [data] = psd_extraction(signal, header)
%PSD_EXTRACTION: creates a psd matrix from given data
% Spatial filters: Laplacian
%
% Input arguments:
% -signal: EEG raw signal
% -header: EEG data header
%
% Output arguments:
% -data
% +data.PSD: [windows x freqences x channels] m... |
function BWout=as_bwobjectfun(fun,BW)
% BWout=as_bwobjectfun(function,BW)
% BWout=as_bwobjectfun(@as_smoothcontour,segBW);
[BWLabel, numLabel] = bwlabel(BW);
BWout = false(size(BW, 1),size(BW, 2));
j_progress('loop over axons...')
for currentLabel = 1:numLabel
j_progress(currentLabel/numLabel)
currentObjBW ... |
clear all; clc;
load OED_shepp.mat
nImg = [64 64];
idk = randperm(size(A,1));
idk = idk(1:1024);
A = sparse(A(idk,:));
% A = sprandn(prod(nImg),prod(nImg),9/prod(nImg));
% A = A + 10*speye(size(A));
%% manipualte last image
figure(1); clf;
xt =reshape(x_true(:,end),nImg);
xt(45:50,40:41) = 1;
xt(47:48,40:45) = 1;
... |
function t = qiege(image)
%用途：去掉不用的黑色区域，使得边界与白色点紧密连接
%注：当时设计的是采用模板识别，所以下面会涉及到分割常规字符与‘1’字符，但已用不上了
[m,n]=size(image);
top = 1;
bottom = m;
left = 1;
right = n;
while 1
while sum(image(top,:))==0 && top<=m
top = top + 1;
end
while sum(image(bottom,:))==0 && bottom>=1
bot... |
function foc = merger_foc(P,MC,X,BETA,ALPHA,XI,NU,SIGMA,merger)
[shares, sim_DS,sim_XDS]=merger_shr(P,X,BETA,ALPHA,XI,NU,SIGMA);
%MERGER_EQUILIBRIUM:
coeffmat = [0,1,0;1,0,1;0,0,0];
if merger
foc = shares + (P-MC).*sim_DS + coeffmat*(P-MC).*sim_XDS;
else
foc = shares + (P-MC).*sim_... |
function [V,F] = readOBJ_sequence(prefix)
% [V,F] = readOBJ_sequence(prefix)
%
% Inputs:
% prefix glob style paths (e.g., 'mymesh.00*.obj')
% Outputs:
% V #files cell array of mesh vertex positions
% F #files cell array of mesh faces indices into corresponding vertex
% positions
% ** W... |
% Sections marked by the green % are notes that describe what each line of
% code represents, or explains what step needs to run the simulation
% smoothly. The x-axis of the CW-EPR spectra should be in Gauss. If
% experimental spectra are in mT, then lines 77 and 84 in the last section
% will need to be changed t... |
function Iout=affine_transform(Iin,M,mode)
% Function affine_transform, is a wrapper of the (mex) functions
% affine_transform_2d_double and affine_transform_3d mex functions
%
% Iout = affine_transform(Iin,M,mode)
%
% inputs,
% Iin : Input image.
% M : Transformation matrix
% mode: If 0: linear interpo... |
function area = physicalBorderArea(borders, scale, cubeSize, minArea)
%PHYSICALBORDERAREA Calculate the border area in physical units.
%
% INPUT borders: [Nx1] cell or [Nx1] struct
% Cell array with the linear indices of the pixels for each
% border or
% borderStruct array cont... |
function [ARE_P,RMSE]=cal_rain_error(rain_field_true,rain_field_esti)
ARE_P=abs(mean(mean(mean(rain_field_esti)))-mean(mean(mean(rain_field_true))))/...
(mean(mean(mean(rain_field_true))));
RMSE=sqrt(mean(mean(mean((rain_field_esti-rain_field_true).^2))));
end
|
function Pout = getNearbyPolygons(p,P,sensor_region)
% Pout = getNearbyPolygons(p,P,distance)
% Pout = getNearbyPolygons(p,P,zone)
%
% Given a point p (x,y), polygons P (2-by-N points separated by NaNs), and
% a distance d, return all polygons with at least one point within a
% distance d of p.
%
% If the last argument... |
clear
clc
image_filename = 'SNAKE.jpg ';
coe_filename = 'SNAKE.coe';
image_array = imread(image_filename);
[height, width, z] = size(image_array);
imshow(image_array);
red = image_array(:, :, 1);
green = image_array(:, :, 2);
blue = image_array(:, :, 3);
r = uint32(reshape(red', 1, height * width));
g = u... |
il = 2;
hl = 2;
nl = 4;
nn = [ 1:18 ] / 10;
X = cos([1 2; 3 4; 5 6]);
y = [4; 2; 3];
lambda = 4;
[J grad] = nnCostFunction(nn, il, hl, nl, X, y, lambda)
sigmoidGradient([[-1 -2 -3] ; magic(3)])
|
function retval = sizeof(HEObj)
retval = 0;
error('Sizeof is not supported yet.');
|
load('Removed50.mat')
figure
imshow(im)
title('Original')
figure
imshow(im2)
title('50 Seams Removed')
load('Removed100.mat')
figure
imshow(im2)
title('100 Seams Removed')
load('Removed150.mat')
figure
imshow(im2)
title('150 Seams Removed')
load('Removed200.mat')
figure
imshow(im2)
title('200 Seams Removed')
im2 = ... |
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% SIMULATING SHOCKS FOR THE SAMPLE PATHS
function [Paths] = Simulator(N_Paths,Time_Steps,Model,Model_Param,r,Seed,Settings)
% GBM and GARCH start at S=1 for each path at t_1 (hard coded in Simulator)
% GBM and GARCH are segmented into Ten... |
function plotDef_aBOOabs(Setup, Results)
% Plot absolute defender acceleration
c = Setup.PostOptions.c;
aBOO = Results.Defender.States.Acc;
aBOO_abs = vecnorm(aBOO);
Figname = 'Absolute Defender Acceleration';
% Plot acceleration
figure('Tag',Figname,'name', Figname,'Position', c.Pos_Groesse_SVGA);
plot(Results.Tim... |
function theta = newtonAlgorithm(error1,error2,error3,error4,error5,error6,v_error,theta,epsilon,N,y1,y2,y3,y4,sigma,V,y)
v(1)=0;v(2)=0;
d_theta1=zeros(6,1);
d_theta2=zeros(6,1);
v_da1(1)=0;v_da2(1)=0;v_db1(1)=0;v_db2(1)=0;v_dd1(1)=0;v_dd2(1)=0; v_da1(2)=0;v_da2(2)=0;v_db1(2)=0;v_db2(2)=0;v_dd1(2)=0;v_dd2(2)=0;
j=1;
b... |
%Loading SPET and Trigger Files
load('/Users/shannon1/Documents/F19/neuroResearch/nSTRF/AudiResp_16_24-190326-154559_triggers.mat')
load('/Users/shannon1/Documents/F19/neuroResearch/nSTRF/spike_times_ripple_clust_new.mat')
% Defining parameters
Fs= 24414.0625; %Original sampling rate - ideally use the sampli... |
clear all; clc; close all;
root_dir='S:\convai\ParlAI-v2\exp-opensub';
folder_name = 'exp-emb300-hs1024-lr0.0001-a_concat-bs128'; %-gc0.5';
filename = fullfile(root_dir, folder_name, sprintf('%s.log', folder_name));
% filename = fullfile(folder_name, sprintf('%s-2.log', folder_name));
fp = fopen(filename,'r'... |
classdef decisionTree < handle
%UNTITLED Summary of this class goes here
% Detailed explanation goes here
%class which represents a node in decision tree, along with the
%branches and the children
properties
attributeName; %the attribute being tested at the node. In case of leaf node ... |
function fileList=getFileList(path)
% fileList=getFileList(path)
%输入:
%path：所获取的文件列表的路径
%输出：
%fileList：path路径下文件列表，cell数组
list=dir(path);
n=size(list,1);
fileList=cell(n-2,1);
k=1;
for i=1:n
if strcmp(list(i).name,'.') || strcmp(list(i).name, '..')
continue;
end
fileList{k}=list(i).name;
k=k+1;
... |
function assignval(name,val)
% @author M.Moriche (Incredibly hard work)
% @date 17-12-2013 by M.Moriche \n
% Documented
%
% @brief function to assign values from a known workspace.
%
% @warning If someone knows how to assign values of the current
% workspace, please send an email to mmoriche@ing.uc3m.es ... |
% The advected quantity for alpha equation is Alpha
% Alllocation
Alphag0=alphag;
% Value setting
Alphag0.internal=alphag0.internal.*rhog./rhom0.internal;
Alphag0=setBC(Alphag0,rhom,xC,xF,g);
% Matrix for the quasi-linear system of U-Alpha
for i=1:N
Aarray(:,:,i)=[2*U0.internal(i)-(alphag.inte... |
% Micol Marchetti-Bowick
% CMU School of Computer Science
% Adapted from Ankur Parikh
% This function generates a random undirected graph with a certain number
% of vertices and edges, subject to constraints on the degree of each node
% and on the minimum and maximum weight of each edge
%%%%%%%%%%%%%%%%%%%%... |
clc;
clear all;
close all;
I = imread('Image15.jpg');
I = imresize(I, [512 512]);
figure, imshow(I)
I = rgb2hsv(I);
figure, imshow(I(:,:,3))
%I = rgb2gray(I)
imsize = size(I)
startrow = 1; startcol = 1;
finrow = 8; fincol = 8;
for l = 1:5
for i = 2:imsize(1)-1
for j = 2:imsize(2)-1
I(i,j,3) = median([I... |
%
% ... Ejemplo rudimentario del metodo de Newton globalizado para
% optimizacion de funciones sin restricciones. El ejemplo ilustra
%
% 1. como usar AMPL via spamfunc
% 2. como usar la busqueda lineal de Overton con spamfunc
%
%
function [x] = newton ( nombre );
path(path,'/Users/jmorales/bin2');
%
nombre_ampl = strc... |
function supervised_classification_trees = (path1,path2);
clc;clear all;close all;
% Add the Heatmaps folder and all its subfolders to the search path.
addpath(genpath('D:\OneDrive\MATLAB\BEng\Heatmaps'));
addpath(genpath('D:\Dropbox\Matlab\Set of Rules method'));
addpath(genpath('D:\OneDrive\MATLAB\BEng\Heatm... |
function test_svm_struct_learn_ker
% TEST_SVM_STRUCT_LEARN
% Test function for SVM_STRUCT_LEARN(). It shows how to use
% SVM-struct to learn a standard linear SVM while using the generic
% kernel interface.
randn('state',0) ;
rand('state',0) ;
% ------------------------------------------------------------... |
function [redraw, rekey, undoable] = ConvertAllClusters
% [redraw, rekey, undoable] = ConvertAllClusters
%
% INPUTS
%
% OUTPUTS
%
% NONE
% TO USE WITH MCLUST, put this in the MClust/ClusterOptions folder
%
% Changes type of iClust
%
% ADR 2003
%
% Status: PROMOTED (Release version)
% See documentation for copyright (... |
% Date: 20160428
% Arithmetic asian option
S0 = 100;
K = 100;
sigma = 0.2;
r = 0.04;
T = 1;
m = 1000; %Number of periods of calculation
dt = T/m;
N = 1000;
theta = 1;
S = zeros(1,m + 1);
S(1) = S0;
summation = 0;
for i = 1:N
for ii = 2:(m+1)
S(ii) = exp(log(S(ii-1))+normrnd(0,sigma*sq... |
function [avalue]=Aop(M, V)
% Gives the A matrix operator used in PISO loop
%
% [avalue]=Aop(M, V)
%
% avalue: column vector of A opearator values
% M: system matrix
% V: column vector of volumes
avalue=diag(M)./V;
end
|
function C = hccm(J,res,mode)
%
% HCCM Heteroscedasticity Consistent Covariance Matrix (HCCM)
%
% C = HCCM(J,V)
% C = HCCM(J,res,mode)
%
% Computes the heteroscedasticity consistent covariance matrix (HCCM) of
% a given LSQ problem given by the Jacobian matrix (J) and the covariance
% matrix of the ... |
function [Centers, Radii, A] = EasyDetection(Input, HS, Polarity)
% EASYDETECTION : Find spots given an array of images 'Input' and if they
% must be found on the RHS ('green') or LHS ('red'). If the input is
% different from these strings, then it will look through the entire
% picture. A negative polarity will loo... |
function [min]=minimal(a,b)
if a>b
min=b;
else
min=a;
end
end |
% only barely works...
lambda = 520e-9;
M = 48;
% circle with radius r
% r = .1;
% x1 = linspace(-r,r,M);
% y1 = linspace(-r,r,M);
% [X1 Y1] = meshgrid(x1,y1);
% R1 = sqrt(X1.^2+Y1.^2);
% E1 = zeros(size(X1));
% E1(R1 < r) = 1;
% % rectangle
N0 = 64;
h = 0.003949683531626;
w = 0.003949683531626;
x1 = linspace(-h,h,... |
function [amino_acid_scattering_length,scattering_length_of_atoms,MW_amino_acid_with_D2O] = amino_acid_SL_calc_gro(exchangeable_hydrogen,C,H,N,O,S,fraction_D2O_in_solution,deuteration_fraction,fraction_that_exchange)
% data from https://www.isis.stfc.ac.uk/Pages/sears---neutron-cross-section-table10655.pdf
% http://psl... |
function error = rSqrError(X, y,theta)
predictions = rHypothesis(X,theta);
error = (predictions - y).^2;;
endfunction
|
function A=A_learning_nn(lambda, X, U)
A=max(U'*X-lambda, 0);
end
|
%% Senior Projects Position Modeling Take 2
% Created: Anastasia Muszynski 10/7/19 based upon posModel by Emily Webb
% Modified: Anastasia Muszynski 10/7/19
% A model for finding position of beacon in 3 directions
% based on posModel and information from Ambiguity Resolution in
% Interferometry (5 Antenna Direc... |
function R = colorList(i)
R = [1, 23, 31, 37, 40, 48, 53, 59, 63];
if nargin > 0
R = R(i);
end
end
|
function [X, meta] = xifread(filename, debug)
%xifread version 0.3 - Reads HDILab/ATL xif ultrasound data files.
%Written by Bo Lind - bolind@ikol.dk
%
%Usage: [X, meta] = xifread('myfile.xif');
%or: [X, meta] = xifread('myfile.xif', 1); for verbose mode
%
%Where meta is an (optional) struct with the following fiel... |
% obsolete, just use
% ../NeoPacked12bitToFITS.m
% quickly try to read CMOS data (12 bits packed)
% inputs
% -------
% topdir: directory to scan for spool files
function sCMOScreatemovie(topdir)
d0 = dir([topdir,filesep, '1103*']);
denoise = true;
fps = [1 1 5 5 1 50 1 1 2 2 10 10 10 10 10 10 10 ... % 01... |
function [ head_loss, hydr_resist1, hydr_resist2 ] = HydroNet_HeadLoss( objects, pipe, valve_fix, ...
valve_var, thermostat, pump_turbo, heat_exch_fix, heat_exch_Tout, tank, branches_ind, ...
branch_cycle, n_branch, temperature )
% Calculates head loss in every branch of an hydraulic circuit
head_loss = zero... |
function xi = get_xi(epsr)
chi = epsr - 1;
xi = - 1 / chi;
end
|
function O_P=MPPT_Icon(deltaP,deltaV,deltaP_old,deltaV_old,step,ee)
dP=deltaP-deltaP_old;
dV=deltaV-deltaV_old;
O_P=0;
if abs(dP)>0
if dV/dP>-deltaV/deltaP
O_P=step;
end
if dV/dP<-deltaV/deltaP
O_P=-step;
end
if abs(dV/dP+deltaV/deltaP)<ee
O_P=0;
end
else
if dV>0
... |
function varargout = loadcycle(varargin)
% LOADCYCLE M-file for loadcycle.fig
% LOADCYCLE, by itself, creates a new LOADCYCLE or raises the existing
% singleton*.
%
% H = LOADCYCLE returns the handle to a new LOADCYCLE or the handle to
% the existing singleton*.
%
% LOADCYCLE('CALLBACK'... |
function [image] = project(image, backColor, projColor)
vSize = size(image, 1);
hSize = size(image, 2);
for i = 1 : vSize
for j = 1 : hSize
if similarOrEqualColor(reshape(image(i, j, :), 1, 3), backColor)
image(i, j, :) = projColor;
end
end
en... |
function output = medfilt1D(vector,window)
%% Window size
if nargin < 2
window = [];
end
if isempty(window) % The default window size is three
window = 3;
end
if rem(window, 2) == 1 % step for odd sized windows
step = (window -1)/2;
else % step for paired window size
step = window/2;
end
%% Search medi... |
% Demo of using atfastring for fast tracking
% The ESRF lattice is loaded, cavity is set, and then the fast ring is
% created.
% An electron is tracked through the full lattice and fast ring and
% the tracking time and tracking results are compared.
clear
clc
echo on
%load esrf ring
ring=esrf;
% indcav=findcells(ri... |
function [varargout] = tp_solve_gpml(w,x,y,k,xt)
% TP_SOLVE - Solve TP regression problem using the covariance
% functions in the gpml toolbox.
%
% All the code based on orginal code gp_solve.
%
% Syntax:
% [...] = tp_solve_gpml(w,x,y,k,xt)
%
% In:
% w - Log-parameters (nu, sigma2, theta)
% x -... |
function res = A1_test
%
res = zeros(1,7);
imc = CS4640_create_im('CS4640_ramp',4,4,4,-2,2,-2,2);
truth = [0 1 2 3; 0 1 2 3; 0 1 2 3; 0 1 2 3];
res(1) = 0==sum(sum(truth-imc));
im1 = ones(4,4);
im2 = 2*ones(4,4);
imd = CS4640_im_dist(im1,im2);
res(2) = 0==sum(sum(abs(imd-im1)));
im1(:,:,1) = ones(4,4);
im1(:,:,2) =... |
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