text stringlengths 8 6.12M |
|---|
%im assuming that i need to take the integral for the x values, the y
%values, the x*y val, x^2 val, x^3 val and x^4 val in order to solve them
x0 = 2;
x1 = @(x) x;
x2 = @(x) x.^2;
x3 = @(x) x.^3;
x4 = @(x) x.^4;
x5 = @(x) x.^5;
x6 = @(x) x.^6;
yval = @(x) exp(x);% int(y val)
yvalx = @(x) exp(x).*x;
yvalxsq = @(x) exp(... |
%Zihang Zhou
%861090400
%April 18, 2016
%CS 171
%PS 2
function [ err ] = regerr( w, X, Y )
[s, ~] = size(X);
s = [s 1];
X = cat(2, ones(s), X); %add col of 1 to beginning
w = w';
X = bsxfun(@times, X, w);
err = sum(X, 2);
err = (Y - err) .^ 2;
err = sum(err); %returns total squared error
end |
function micro_F1 = Micro_F1(X,Y)
X(X<=0) = 0;
Y(Y<=0) = 0;
XandY = X&Y;
Precision=sum(XandY(:))/sum(X(:));
Recall=sum(XandY(:))/sum(Y(:));
micro_F1=2*Precision*Recall/(Precision+Recall);
if isnan(micro_F1)
fprintf('micro F1 is NaN');
micro_F1=0;
end
end |
% dir_name = '/home/adutta/Workspace/SignatureVerification/Datasets/GPDS300/';
% subdir_names = dir(dir_name);
%
% fp = fopen( 'GPDS300.txt','w');
%
% for i = 1:length(subdir_names)
% if( ~strcmp(subdir_names(i).name, '.') && ~strcmp(subdir_names(i).name, '.') && subdir_names(i).isdir )
% file_names = dir... |
function [ w,post,rllharr,garr] = EMPosteriorRegularized_batch(w,X,Y,Nvec,EMiterations,Miterations,lambda,gamma,option,lam)
% alpha=1.5;
% no_ins=size(X,1)-size(w,1)+1;
% B=size(X,2);
% Prior=zeros(size(w,2),no_ins,B);
% for i=1:B
% Prior(:,:,i)=PriorOneBag(w,X(:,i),option.priorType);
% %%%%%adding weigh... |
% Amir kabir University of Technology (Tehran Polytechnic)
% Computer & Information Technology Engineering Department
% Resource Allocation in Wireless Networks
% DTPC Simulation using MATLAB
% Programmer: SeyedHedayat Hosseini
% Date: December, 2015
% Matlab Version: R2014b
% ***********************************... |
function net = train_classifier_re(layers, imgs_train, labels_train, imgs_val, labels_val, lrate, epoch)
%---------------------------------
%Use this for the standard classifier
options = trainingOptions('sgdm',...
'Shuffle','every-epoch', ...
'ValidationData',{imgs_val,labels_val}, ...
'Validatio... |
function w = generate_reservoir(size, radius, degree)
sparsity = degree/size;
w = sprand(size,size,sparsity);
%[i,j,s] = find(w);
%s = -1 + 2.*s;
%w = sparse(i, j, s);
e = eigs(w);
e = abs(e);
w = (w./max(e))*radius; |
% servo_cb(...)
% Switchboard type function to handle all callbacks from the 'Servo Motor'
% dynamic masked block.
function servo_cb(blk, state, initrevsrc, initrev)
switch state
case 'init'
servo_init_cb(blk, initrevsrc, initrev);
case 'initrevsrc'
initrevsrc_cb(blk);
otherwise
... |
function results = mergeRnnResults(results, rnnResults)
if iscell(results)
results = vertcat(results{:});
end
if iscell(rnnResults)
rnnResults = vertcat(rnnResults{:});
end
results = table2dataset(outerjoin(...
dataset2table(results), dataset2table(rnnResults), ...
'MergeKeys', true...
));
end
|
% Example 101: point source through a spherical biconvex lens
% compare to a Zemax model calculated by Norbert Sigrist
% difference should be < 1e-14 mm in position, < 1e-15 in direction
% (only 15 digits are provided in the data file)
% lens front surface
s1=struct();
s1.position = [0,0,40];
s1.direction=[0,0... |
clear
clc
tic
m = sort(randperm(1000,500));
n = setdiff(1:1000,m);
times = 1000000;
group = 20;
data = csvread('function1.csv');
x0 = data(:,1)';
y0 = data(:,2)';
gene = zeros(group,64);
len0 = zeros(1,times);
league = zeros(4,64);
datal = zeros(20,times);
count = 0;
lenf = 100000;
len02 = zeros(1,times... |
function [const]=getID
% get subject ID
const.vpnr = str2num(input('Wie lautet die Versuchspersonen-Nummer? ','s'));
const.code = sprintf('SpStMob_%.2d',const.vpnr);
if isempty(const.vpnr)
const.vpnr = 00;
const.code = sprintf('SpStMob_%.2d',const.vpnr);
end
|
%% INITIALIZE OF SQUARE AND TRIANGULAR LATTICE
% Developed by: Ibrahim Issah.
% Msc. University of Eastern Finland
% Ref. Igor Photonic crystals
clear all
close all
clc
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% DASHBOARD %%%%%%%%%%%%... |
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%%%%%%%%%%%%%%%%%%%%%%%%%%% Dessiner un objet %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%%%%%%%%%%%%%... |
function p = selfstarter(zs, dz, w, cw, np, ns, c0, dr)
k0 = w / c0;
nz = length(cw);
alpw = sqrt(cw / c0);
alpb = ones(1, nz);
ksqw = (w ./ cw) .^ 2 - k0 ^ 2;
ksqb = zeros(1, nz);
ksqb = complex(ksqb);
u = zeros(nz, 1);
rhob = ones(1, nz);
iz = nz - ... |
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%%%%%%%%%%%%% Initialization and Model/simulation parameters %%%%%%%%%%%%%%
sim = 0; % simulation param (1 is sim qpsk, 0 is loaded from chipscope)
OS_RATE = 8;
make_srrc_lut;
make_train_lut;
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%... |
clc
clear all
close all
error_gain=2;
P1n=[3.7];
P1d=[0.9125 1];
P2n=[4];
P2d=[1.075 1];
P3n=[1.78];
P3d=[0.7875 1];
Pn=[1.8];
Pd=[0.9 1];
Pn_2=[4.2];
Pd_2=[1 1];
% Pn=[3.18];
% Pd=[0.5525 1];
P=tf(P1n,P1d);
[C,info] = pidtune(P,'PI');
% step(feedback(C*P,1))
C1n=[C.Kp C.Ki];
C1d=[1 0];
P=tf(P2n,P2d);
[C,in... |
function [phases, penalty, F_dev, numiter] = findPhasesFoGivenF(p, F_des, maxiter, restartAfter, phasesInit)
%FINDPHASESFORGIVENF Finds phase shifts developing the required forces.
%
% Syntax: [phases, penalty] = findPhasesFoGivenF(p, F_des)
%
% The sedimentation force is not taken into account. The physical p... |
% clear Y
% clear xY
xY.name = 'aaa';
xY.Ic = 0;
xY.def = 'mask';
xY.spec = 'I:\DataAnalysis\TaskYoung\NoSeg_GlobCorr\PPI\Mask\Resliced\MCC.img';
nsess = 3;
px_spm8_regions(xSPM,SPM,hReg,xY,nsess) |
function r = bit2registre(vecteur, r, lon_ref, lat_ref)
% Immatriculation, Compagnie aérienne, Catégorie, Pays
if (isempty(r.immatriculation) || isempty(r.airline) || isempty(r.categorie))
[r.immatriculation, r.airline, r.categorie, r.pays] = adresse2immat(r.adresse);
end
% Type
type = bin... |
function previewVid_Callback(hObject, eventdata)
global vid_fig_hand;
selected_file = get(vid_fig_hand.listFiles_handle,'Value');
vid_list = get(vid_fig_hand.listFiles_handle,'String');
vid_name = vid_list{selected_file};
implay(vid_name);
end |
% function LAMBDA = finite_diff_varyDELTA(a1,b1,a2,b2,epsilon,DELTA,Ly,mx)
%% Finite Difference BOUNDARY Honeycomb Spectra
% clear
%% set grid size
a = 1.0;
% mx = 200/(2*a);
mx = 40/2;
%% set up honeycomb lattice
q = 4*pi/(a*sqrt(3));
k1 = q*[1;sqrt(3)]/2;
k2 = q*[1;-sqrt(3)]/2;
k3 = k1+k2;
v1_h = [sqrt(3)/2;1/2];
... |
function [error] = output_result(header, input, output, parameters, IDmapper, option)
% make sure that all results are generated for each family
error = 0;
disp(' ');
disp('exporting results ...');
disp(' ');
disp(['output folder: ', pwd]);
disp(' ');
if( option(1) )
... |
classdef NATNET_CONNECTOR_sim < CONNECTOR_CLASS
% Motiveのsimulation用クラス：登録されたエージェントの位置と姿勢がわかる
% motive = NATNET_CONNECTOR_sim(param)
% param :
% rigid_num : agnet number
% marker_num % number of UnLabeledmarker
% on_marker_num % total number of markers on agents
% (opt... |
%Definizione delle variabili
L = 480;
Sout = L/2;
alpha = 2; %valore da modificare
Sin = round(Sout * alpha);
delta_k=20;
[input_signal, Fs] = audioread('speech.wav');
in_length = length(input_signal);
output_signal = zeros(round( in_length/alpha + L) , 1 );
win=hamming(L);
%vettore che salva i valori... |
function lp = logit(p)
% LOGIT: logit function.
% This is a one-to-one mapping from probability to log-odds.
% I.E. it maps the interval (0,1) to the real line.
% The inverse function is given by SIGMOID.
%
% log_odds = logit(p) = log(p/(1-p))
lp = log(p./(1-p)); |
im = imread('D:\\Google Drive\\CMU\\3rd\\semester 2\\261453 Digital Image Processing\\Assignment 2\\Cross.pgm');
im_resize = imresize(im, 0.5);
fft = fftshift(fft2(im_resize)); %shift origin to center
ampitude = log(abs(fft)+1); %start x axis at 1
ampitude = mat2gray(ampitude); % scale 0-1
figure;
subplot(1,2,1)... |
function [Distance_Matrix ] = shortest_path(Graph, Nodes,weightMatrix)
% calculate the shortest path between each pair of nodes
%Graph is the square matrix denoting a graph
%Nodes is the vector denoting the name of each node
%weightMatrix is the weight of operation
num_Nodes = length(Nodes);
%calculate the shor... |
function lanzador_casos_nuevos(ejec,numero,clusters_fijados)
ejec=str2num(ejec);
numero=str2num(numero); % Solo para .exe
clusters_fijados=str2num(clusters_fijados); % Solo para .exe
rng(numero*10000+ejec*100+clusters_fijados);
%Potencia fija 2D 200 gen 100 pob
if numero==100
antenas=[0];senso... |
function TextControl = EDMUpDownButton(PVName, x, y, varargin)
% Defaults
FontSize = 8; % 8 10 12 14 18 24 72
FontWeight = 'medium'; % 'medium', 'bold'
HorizontalAlignment = 'center'; % 'left', 'center', 'right'
FontName = 'helvetica';
CoarseValue = 1;
FineValue = .1;
Width = 30;
Height = 20;
AlarmBorder = 'O... |
% PERFORMANCE2K returns an estimate of capacity K based on partial report task
%
% k = Performance2K(p,n,m)
%
% Given a subject's proportion correct p in a partial report task with n
% objects and m alternatives, returns k, the number of remembered objects.
%
function k = Performance2K(p,n,m)
k = n * (p - 1/m)/(1 ... |
% PhyConnect.m - Manages memory mapped file and communication to phydev
%
% Copyright (C) 2013 Integrated System Laboratory ETHZ (SharperEDGE Team)
%
% 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 Foundati... |
function NDPrunFITC2D_wMASK(IM,Impath,Imregion,analysis,thresh,Mask,rect,rot)
SizeofMask = size(find(Mask>0),1);
ROIinUM = SizeofMask*0.0529;
if isempty(thresh)
Ifitc = IM(:,:,2);
Idapi = IM(:,:,3);
if max(Ifitc(:)) == 255
nucT = 26;
elseif max(Ifitc(:)) >= 210 && max(Ifitc(:)) < 255... |
if exist('s','var')
fclose(s);
end
clc; clear;
filename = 'glass_chopstick_20.txt';
s = serial('COM3');
set(s,'DataBits',8);
set(s,'StopBits',1);
set(s,'BaudRate',115200);
set(s,'Parity','none');
fopen(s);
pause(3);
frameSize = 1000;
step = 100;
dt = [];
tt = [];
time = [];
data = [];
tic;... |
function [maskArray,maskData] = pupillMask(bench, mask, maskCenter)
% Make a mask for the WFS
% - bench : the bench object
% - mask : can be :
% -a string: name matching a mask defined in config
% bench.config.maskChoices gives a list of mask names
% -a 3 cell arra... |
function IsoDist = IsolationDistance(FD, ClusterSpikes)
% IsoDist = IsolationDistance(FD, ClusterSpikes)
%
% Isolation Distance
% Measure of cluster quality
%
% Inputs: FD: N by D array of feature vectors (N spikes, D dimensional feature space)
% ClusterSpikes: Index into FD which lists spikes fr... |
function ok = lin2oklab(lin)
% LIN2OKLAB Convert colors stored in linear sRGB color space to OKLab color
% space
%
% ok = lin2oklab(lin)
%
% Inputs:
% lin #h by #w by 3 image of colors or #lin by 3 list of colors
% Outputs:
% ok converted ok colors (same size as lin)
%
% See also: rgb2lin, l... |
% Set B and C for the plots
B = 0.4;
C = 0.1;
% set signal length
liblength = 500;
% set spacing for impulses
hitspace = 5;
% set impulse peak
hitpeak = 2;
% build X and Y
[x,y] = NoisyImpulseResponse(liblength,hitspace,hitpeak,C,B);
%% plot X
width = 8;
height = 4;
figure('Units', 'inches', ...
'Position', [0 ... |
function mats = assemble_mats( parms, mats, soln )
%Assemble Jacobian matrix for full system using natrices obtained from
%get_mats.
display(' Updating Jacobian...')
tic
%--Various variables
%# of x-vel (flux) points
nu = get_velx_ind( parms.m-1, parms.n, parms.mg, parms );
%# of y-vel (flux) poin... |
function [position] = COE_getPosition(COE)
% Calculate radius
r = COE.a * (1.0 - COE.e * COE.e) / (1.0 + COE.e * cos (COE.nu));
position = r*COE_getPositionUnitVector(COE);
end
|
function n = factorial_recur(m)
if(m==0)
n=1;
return
end
n = m*factorial_recur(m-1);
end |
function options = setdefoptions(options, defaultOptions)
%SETOPTIONS Set options with default options
optionNames = fieldnames(defaultOptions);
for i = 1 : numel(optionNames)
if ~isfield(options, optionNames{i})
options.(optionNames{i}) = defaultOptions.(optionNames{i});
end
end
end
|
function OUT=calc_DH(d,a,alpha,theta)
OUT=[cos(theta), -sin(theta)*cos(alpha), sin(theta)*sin(alpha), a*cos(theta);
sin(theta), cos(theta)*cos(alpha), -cos(theta)*sin(alpha), a*sin(theta);
0, sin(alpha), cos(alpha), d;
0, 0, 0, 1];
end |
function medusaPgaInit(nodeid, addr)
% function medusaPgaInit(nodeid, addr)
% addr = device address of PGA submodule
%
% This is part of the Medusa software suite.
% Pascal Stang, Copyright 2006-2012, All rights reserved.
%
% $LICENSE$
global MEDUSA
global sock
% initialize PGA
%cmdlinkCmd(cmdlinksock, ... |
% --------------------
% Set up public paths
% --------------------
addpath learning;
addpath detection;
addpath visualization;
addpath evaluation;
if isunix()
addpath mex_unix;
elseif ispc()
addpath mex_pc;
end
% directory for caching models, intermediate data, and results
cachedir = 'cache/';
if ~exist(cachedir,... |
clear all; close all;
Working_Fluid_1 = {'R290'};
Working_Fluid_1 = Working_Fluid_1{1};
Max_Pressure = 4250000;
% Non-Ideal Cycle using a compressor with an efficiency of .80 and a COP of 3.2
%%%%%%%%%%%%%
% Constants for the Refridgeration Cycle for Durham, NH
%%%%%%%%%%%%%
Cold_Space = 273+20; % Kelv... |
function xsreg = sreg(A,b,numit,del)
xsreg = A\b;
xsOld = xsreg;
kk = 1;
go = 1;
while go == 1
smallinds = (abs(xsreg)<del);
xsreg(smallinds) = 0;
biginds = ~smallinds;
xsreg(biginds) = A(:,biginds)\b;
if norm(xsreg-xsOld)<1e-6
go = 0;
elseif kk>numit
go = 0;
end
xsOld ... |
%Visualizations (subplots) for Arrest Paper
% Maansi Desai, Garret Kurteff, Alia Shafi - April, 2018
% 1. Plotting errors per patient, showing duration of errors centered
% around stimulation per trial
% 2. Plotting all error types and timing info in relation to stim
% 3. Plotting all regions and error types with timi... |
hold off;
clear; clc;
t = linspace(0,1);
% X ~ EXP(-2)
F1 = 1-exp(-2*t);
t_remaining1 = 1 - F1;
% X ~ U(0,1)
%Problem with this one
F2 = t;
t_remaining2 = 1 - F2;
% X ~ fT(t)
F3 = (((2*t)+2).^-2) - (((2*t)+1).^-2);
t_remaining3 = 1 - F3
plot(t, t_remaining1);
plot(t, t_remaining2);
plot(t, t_remaining3);
title("P... |
function a = acc(t)
t = t/60;
a0 = 0.4/3600; % 0.4 km/min^2 -> km/s^2
if t>=15 && t<17
a = a0;
elseif t>=17 && t<19
a = -a0;
elseif t>=30 && t<32
a = a0;
elseif t>=32 && t<34
a = -a0;
elseif t>=45 && t<47
a = a0;
elseif t>=47 && t<49
a = -a... |
%pixel interpolation, digital straighten
prof_smoo = 20; %set degree of filament profile smoothing
pleng = 50; %set cross section length
show_cross=0; %set to 1 to see direction of cross sections
minlength = 15;
%%
clear perp
loctor = 0.2; % set the location tolerance (1=no tolerance) away from centre of... |
function[data] = initialize_data(M,N)
% Hard code 2D nonlinear burgers
theta=M*(M+1)/6;
thetaT=M*(M+1)*(2*M+1)/6;
Pdm1=M;
Pd=M*M;
Pdp1=M*M*M;
deltax=6.28318530718/N;
data.space_dims=2;
data.boundsv1v2v3=zeros(6,1);
data.Tfinal=0.4;
data.boundsq=[-0.1000 1.1000];
data.Neqns=1;
data.Fspeedmax=2.1;
data.Gspeedmax=2.1;
dat... |
%
% Cette énumération contient les type de fichier qu'Analyse pourra ouvrir/convertir.
%
% Le nom doit rester exactement comme il est écrit ici car nous utilisons ce nom pour
% former le nom de la fonction qui sera appelé pour lire le fichier voulu.
%
% ex: pour un fichier texte, la classe s'appelle: CLireTexte
... |
%function [H, R, active_UEs] = function_Setup_multiFrequency(L, Kdrop, B, noiseVardBm, Kmax, f, M, polarization,carrier_freq)
%% Set Network Layout
L = 16;
Kdrop = 5;
Kmax = 6;
f =2;
M =100;
polarization = 3;
noiseVardBm = -94;
% Number of channel realizations
num_subcarriers = 400;
% Generate Simulation parameters... |
%% Scientific computing Project
%Manyfactured Solution Explicit Method
%Omar El Gazzar
clc
clear
%Iterations where delta_x = delta_y
Nx = 15;
Ny = 15;
nt = 30;
%Paramiter
D = 1;
%Domain
ax = 0;
ay = ax;
bx = pi;
by = bx;
%Steps
dx = (bx-ax)/(Nx-1);
dy = (by-ay)/(Ny-1);
dt = (min([dx,dy])^(2... |
function Tests = labelExprnTest()
Tests = functiontests( localfunctions );
end
%#ok<*DEFNU>
function testLabelExprnCell(this)
import parser.Helper;
c = {'"''Label''" X+1', 'Y', '^''"Label"'' Z+''a''' };
[actExprn, actLabel] = Helper.parseLabelExprn(c);
expExprn = { 'X+1', 'Y', 'Z+''a''' };
expLabel = { '''Label''',... |
%Script for particle tracking
%parameter file for the mpretrack_init and mpretrack_brozik programs
trtype=1; %track type initial setup=0; actual tracking=1;
basepath= '~/Documents/research/Single Molecule Data/DMPC + incubated beads 5C 1 mW w Filter/';
savepath= '~/Documents/research/Single Molecule Data/DMPC + incuba... |
function out = SECodegen(y)
persistent firstrun
classificationRate = 20; % Rate?
fs=16000;
win = hann(400,'periodic');
persistent trainedNet;
if isempty(trainedNet)
trainedNet = coder.loadDeepLearningNetwork('commandNet.mat'); % beinhaltet trainedNet und wird hier in das Workspace geladen
%load('left_test.mat')... |
[x, Fs] = audioread('fmt.wav');
sound(x, Fs); |
% wczytanie obrazu testowego, zapis do struktury R, nast?pnie wst?pne
% przetwarzanie, zastosowanie pierwszego okre?lonego arbitralnie progu, i pierwsza
% binaryzacja obrazów
clear all, close all;
tic
sciezka_data = 'C:\Users\Marcin\Desktop\Engineering_project\Inzynierka\W11p\obrazy-uczenie\';
spis_tst = 'pliki.txt'... |
%½»²æ
function [newpop]=crossover(pc,A)
newpop=A;
[M,N]=size(A);
for i= 1:2:M-1
if rand < pc
p = ceil(rand()*N);
for j= p:N
ch = A(i,j);
newpop(i,j) = A(i+1,j);
newpop(i+1,j) = ch;
end
end
end |
function [outputData, varargout]=FindmiRNAislands(REF_SEQ,TEST_SEQS,MIN_LENGTH,CONS_CUTOFF,varargin)
% FindmiRNAislands
% Finds islands of homology within the highly varying sequence using
% an alignment to a reference sample.
%
% OUTPUT_DATA = FindmiRNAislands(REF_SEQ,TEST_SEQS,MIN_LENGTH,CONS... |
function [ymin, ymax, xmin, xmax, ROI]=height_of_barcode(image, ep)
% fonction permettant de supprimer les zones superflues se trouvant au
% dessus et en dessous de la region d'interet
imshow(uint8(image));
image2=image;
[x, y] = ginput(2);
x = floor(x);
y = floor(y);
xmin = min(x);
xmax =... |
function [ projy ] = proj_unitSimplex( y )
%See "Fast Projection onto the Simplex and the ?1 Ball", Laurent Condat, 2015
projy = max(y-max((cumsum(sort(y,1,'descend'),1)-1)./(1:size(y,1))'),0);
end
|
function X_reshape = image_to_vector(I,n)
%UNTITLED Summary of this function goes here
% Detailed explanation goes here
imSz = size(I);
patchSz = [n n];
xIdxs = [1:patchSz(2):imSz(2) imSz(2)+1];
yIdxs = [1:patchSz(1):imSz(1) imSz(1)+1];
patches = cell(length(yIdxs)-1,length(xIdxs)-1);
for i = 1:length(yIdxs... |
img = imread('/Users/dc/TestCode/TestMatlab/week8/Cameraman256.bmp');
[N,M] = size(img);
|
global N Fs gain_range_0_500 gain_range_500_1000 gain_range_1000_1500 gain_range_1500_2000 gain_range_2000_2500 gain_range_2500_3000 gain_range_3000_3500 gain_range_3500_4000
gain_range_0_500 = 1.4;
gain_range_500_1000 = 1.2;
gain_range_1000_1500 = 1.5;
gain_range_1500_2000 = 1;
gain_range_2000_2500 = 2;
gain_ran... |
function [of fin_wealth]=runPbmSolver(run_file,model_file,data_file,wealth_file,of_file,fin_wealth_file)
% this function generates a run file (run_file) in which the operation the ampl solver has to perform are written
% Then, ampl is run and the result written in corresponding files
f=fopen(run_file,'w');
fprint... |
%% First add new data to the end of the data frame
a =length(FINAL_DATA);
% a=0;
for i = 1:length(Green_MY_DATA)
FINAL_DATA(i+a).name = Green_MY_DATA(i).name;
FINAL_DATA(i+a).experiment = "Swc2 150mM noATP";
FINAL_DATA(i+a).line_time = Green_MY_DATA(i).line_time;
FINAL_DATA(i+a).particle_tracked = Green... |
clear
clc
addpath(genpath(pwd))
%% Load the data
Type = '.nd2';
NameAll = ls(['.\ImageAnalysis\Demo', filesep, '*', Type]);
FileName = ['.\ImageAnalysis\Demo', filesep, NameAll(1, :)];
[Path, ~, ~] = fileparts(FileName);
for i = 1:8
% FileName=[PathAll,filesep,NameAll(i,:)];
% [Path,Name,~]=fileparts(FileN... |
function plotMetric(B, varName)
%PLOTMETRIC Plots the distribution of a normalized metric or PC.
% Usage:
% plotMetric(B, varName)
%
% Example:
% plotMetric(epm.LobuleVII.Juven, 'EPM_OpenArmPref')
% plotMetric(epm.LobuleVII.Juven, 1) % B.allLabels{1} == 'EPM_OpenArmPref'
% plotMetric(epm.LobuleVII.Juven... |
function [outputArg1,outputArg2] = update_robot(particles, weights, z, mu, std_R)
%UPDATE_ROBOR Summary of this function goes here
% Detailed explanation goes here
% update
for jj = 1:size(landmarks, 2)
dist = vecnorm(particles(1:2, :) - landmarks(:, jj));
weights = weights .* normpdf(... |
% Andrew Brown Homework 1 Problem 6
clc
clear
% Euler Leaf Part 1
%Initial Conditions
x0=5.3; %position in meters
v0=-0.5; %velocity in meters/second
m=5.2; %mass in kilograms
h=input('Timestep:'); %time in seconds
%Part A: Find the new position and velocity after taking one timestep.
%Force Function (in Newtons... |
%% Train SAM weights code %%
function [model_coefs] = train_coefs(seeds, sims_mat, dim, regression_type, lambda, corpus_name, lexicon, result_dir,an_scores,anew,w_flag)
% Load files
train_matrix = load(sims_mat,'-ascii');
emotion_ratings_seeds = load(an_scores, '-ascii');
unis = textread(anew,'%s',-1);
%% Find Seeds... |
function result = Func_DilateFill(dd,bw)
comObj = Func_ObjStruct2Img(dd,bw);
Func_PlotIndex(bw,comObj,dd,2);
flag = 0;
count = 0;
oldInd = -1;
while flag == 0
fInd = input('Input the index of nucleous to dilate or fill in the holes, if none, input 0:, input [1 1] to go back to original shape... |
% File: SA2_9.m for Study-aid Example SA2-9
clear;
% Calculate the IFFT for an RC Low-pass Filter
M = 9;
N = 2^M;
n = 0:1:N-1;
fo = 1;
fs = 30;
dt = 1/fs;
T = N*dt;
f = n/T;
t = n*dt;
% Creating Spectrum
for (i = 1:1:(length(f))/2)
H(i) = 1/(1+j*(f(i)/fo));
end;
for (i=((length(f))/2):1:length(f))
H(i) = 1/(1... |
function [output] = average_filter(image,row, col, size)
sum = uint16(zeros(1,1,3));
count = 0;
for r = row-size:row+size
for c = col-size:col+size
sum = sum + uint16(image(r,c,:));
count = count + 1;
end
end
output = uint8(sum/count);
end |
clear;
close all;
rng(1234)
%% === LCD Screens Quality Check Example ====
% Probability values to try:
m = 200;
p_star = linspace(0, 0.1, m)
% Observations:
N = 150; % number of screens sampled
k = 3; % number of defective screens
% Calculate likelhood values
% for different probability values:
% (see function... |
clear all
close all
% load lattice
load ../../ESRFLattice.mat
% get indexes
indm=indBPM';
indq=find(atgetcells(ring,'Class','Quadrupole'));
%ring=atsetfieldvalues(ring,indm,'PassMethod','MonitorPass');
% define quadrupole alignment and rotation errors
dx=1e-6*randn(size(indq)); % random errors of 1um
dy=1e-6*randn(s... |
% Drive 5 spheres in a discrete time fashion from starting to final
% orientation.
% Version 3 rolls the ball back and forth along the y axis, and controls
% the x axis movement to make the balls align
% DiscreteSpeller.m works, in that it steers the balls to positions to form
% U, I, U, C. However, it relies on p... |
function [x, y]= sprial_index(n)
k = ceil((sqrt(n) - 1)/2);
t = 2*k;
m = (t + 1)^2;
if n >= (m - t)
x = k-(m-n); y = -k;
return;
else
m = m -t;
end
if (n >= m - t)
x = -k; y = -k + (m-n);
return
else
m = m - t;
end
if (n >= m - t)
x = -k + (m-n); y = k;
return;
... |
function value=getBandwidth(object)
forceSettings(object);
fopen(object.VISA);
CU=onCleanup(@() fclose(object.VISA));
fwrite(object.VISA,'ACQUIRE:BANDWIDTH?');
value=strtrim(fscanf(object.VISA));
value=sscanf(value,'%g');
end |
function [result,queryIndex,predict_b,unLabelIndexRandom]=randomLearning(labelIndexRandom,data,label,batchSize)
% % % currentFolder = pwd;
% % % addpath(genpath(currentFolder));
num=1:size(data,1);
unLabelIndexRandom=setdiff(num,labelIndexRandom);
A=randperm(length(unLabelIndexRandom));
queryIndex=unLabelIn... |
clc;clear;
%parameters
lambda1 = 1; % It is just used to remind setting lambda1 in line 34.
lambda2 = 1; % It is just used to remind setting lambda2 in line 35.
T = 10; % Time.
R = 4; % Freshness.
W = 100; % Car capacity.
c = 25; % Customers.
s = c+2; % Space node.
alpha2 = 2; % Time window penalty for deliver... |
% DESCRIPTION
% Generate the images by walking through the pca components
%
% INPUTS
% [data] (vector [nxm]) Original data.
% [K1] (vector [nx1]) Eigenvalues of PCA.
% [P1] (vetor [1xn]) Eigenvectors of PCA.
% [dim] (scalar) Image width.
% [n] (scalar) Number of components you ... |
% Script for loading images LoadImages.mat and retrieve HOG
%Resizes the image to 4 times its value
%Look at the HOG features obtained to understand need for this step
%Stores features in .mat file so we dont have to run this repeatedly
function [Features] = LoadImages()
Features = [];
for j = 1:5
num = num2str(j)... |
function u = vort_update_multipole(mu,gam,rval,u,gvals,Nvorts,dt)
pval = 10;
% Build-out the tree
tree_vals = multi_pole_kernel_build(u,gvals,pval,gam,Nvorts);
tree_vals = multi_pole_list_maker(tree_vals,pval,Nvorts);
k1 = dt*force_terms_multipole(mu,gam,rval,u,gvals,Nvorts,pval,tree_vals);
uh1 = u + k1/2;
tree_vals... |
function [chains] = find_chain(Nodes_to_find_chains,G4)
% this function read a vector of graph nodes with degree 1 and finds the
% chains that start from source degree-1 node, traverse threough degree-2
% nodes and terminate in a non-degree 2 node. The chains corresponding to
% each degree-1 node is stored in a cel... |
function [Material,grad] = tanque_cilindrico(X)
% Declarar variáveis com vetor de inputs
raio = X(1);
altura = X(2);
V = pi*raio^2*altura; % Volume
Material = 2*pi*raio*altura; % Material utilizado
if V < 650 || Material<0% Caso V seja menor que 650
Material = in... |
function [A,B] = linearize_in_x(f, x0, p, u, b, varargin)
if ~isempty(varargin)
t = varargin{1};
A = FiniteDifferenceJacobian_t(f, x0,p,u,b,t);
f_at_x0 = f(x0,p,u,b,t,'nonlinearpart');
else
% A = FiniteDifferenceJacobian_t(f, x0,p,u,b);
% f_at_x0 = f(x0,p,u,b);
error("add nonlinearpart flag")
end
K0= f... |
function [Face m] = GenFace(n,k)
Face = [];
for i = 1:n-k
Division(i) = 2*n;
end
[Base] = InitGrid(n-k, Division);
m = 0;
for g = 0:Base(n-k+1)-1
[F] = GridCoords(n-k,g,Base);
[isface] = IsFace(n,n-k,F);
if isface == 1
Face = [Face; F];
m = m+1;
... |
function [r, lattice_title, IniCond] = sirius_ts_lattice(varargin)
% 2013-11-26 created Ximenes (from V100)
% 2016-09-28 V01.02 - new version (Ximenes) - see 'VERSIONS.txt' in Release/machine/SIRIUS
%% global parameters
% =================
d2r = pi/180;
% --- system parameters ---
energy = 3e9;
lattice_version = '... |
clear all
clc
%read adj. close price
ds = tabularTextDatastore('c:\Users\wangz10\Documents\MATLAB\MA342 P3','FileExtensions','.csv');%path of csv file
T = readall(ds);
s=44;
for i=1:s
P(:,i)=T((i-1)*251+1:i*251,4);
end
P=table2array(P);
R=(P(2:end,:)-P(1:end-1,:))./P(1:end-1,:);
r=mean(R);
C=cov(R);
alpha=[0... |
function [A, b] = bound_mat(dx, dt, Nx, Nt)
A = sparse(Nx*(Nt+1), Nx*(Nt+1)+(Nx+1)*(Nt+1));
b = zeros(Nx*(Nt+1), 1);
cnt = 0;
for n = 1 : Nt+1
for j = 1 : Nx
cnt = cnt + 1;
A(cnt, labelrho(Nx, j, n)) = -1;
end
end
% for n = 1 : Nt+1
% for j = 1 : Nx
% cnt = cn... |
function plot_results_testing(dat)
%
%
figure; hold on;
subplot(2,2,1); hold on;
for x = 1:numel(dat.trials)
plot(dat.trials(x).key_time,dat.trials(x).eye,'o');
end
set(gca,'ytick',[-1 1],'yticklabel',{'L','R'})
subplot(2,2,2); hold on; title('total time');
bar([1 2 3],[mean(dat.left_timeSec) mean(dat.right_tim... |
% poisson_class.m -- solve the Poisson problem u_{xx} + u_{yy} = f(x,y)
% on [a,b] x [a,b]. Solving this with multigrid, 2-cycle
%
% The 5-point Laplacian is used at interior grid points.
% This system of equations is also solved using backslash
% to get uD, the exact discrete solution to compare with the
% multig... |
function [A,B,k,C,vare]=sysinit(dets)
% Initialise system, ie. determine models and constants.
%
% Usage: [A,B,k,C]=sysinit(dets)
%
% dets: Deterministic (1) eller stochastic (0) simulation
global t t0 Tnext Ts % Time administration
global As Bs Cs Ds Xs % D-time Linear model
Ts=0.1;
%-----------------... |
function [skew] = SkewnessCal(Y)
sd =[];
for i = 1: size(Y, 1)
for ii = 1: size(Y, 2)
sd(i, ii) = std(Y(i, ii, :));
end
end
mn = mean(Y,3);
% Calculate Skewness
skew = [];
for i = 1: size(Y, 1)
for ii = 1: size(Y, 2)
skew(i, ii) = sum((Y(i... |
%% Exercise 4 M1
% Emil Airta
% Parameters
n = 128;
a = .025;
% Evalution points and point spread function
delta_x = 1/n;
xvec = delta_x*(0:(n-1));
v = floor(a*n);
vvec = linspace(-a+delta_x,a-delta_x, v*2 + 1);
p = (PSF(vvec,a));
f = targetf(xvec);
% Calculate convolution matrix
conA = convmtx(p, n);
... |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.