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%=========================================================================
%
% Program to estimate impulse responses for a VECM and a VAR
% of money demand
%
%=========================================================================
function coint_impulse( )
clear all
clc
% Load the data
load ... |
%%%%%%%% sobel算子提取边缘 %%%%%%%%%%%%
function sobel(height,width,img_wider)
A=zeros(width,height);
B=zeros(width,height);
C=zeros(width,height);
D=zeros(width,height);
% sobel算子求垂直方向边缘
for i=2:width+1
for j=2:height+1
A(i-1,j-1)=(-1)*img_wider(i-1,j-1)+img_wider(i+1,j-1)+(-2)*img_wider(i-1,j)+2*img_wider(i+1... |
function [vector]= Cord( string )
%Cord: Translates traditional Battleship coordinates to matrix form.
%
% Input Arguments:
% string = userInput from parent function (as a string)
%
% Output Arguments:
% vector = matrix form of coordinates (as numericals)
% Translates the letter (char) to corresponding num... |
%
% plotbumptraj.m
%
clear stdpatch
vertx=[[0:dt:T-200]'; [T-200:-dt:0]']; vertx(:,2)=[sqrt(cmv)'; -sqrt(cmv(end:-1:1))';];
stdpatch.Vertices=vertx;
stdpatch.Faces=[1:length(vertx)];
stdpatch.FaceColor=[250 128 114]/255;
stdpatch.EdgeColor=[250 128 114]/255;
figure(2), hold on, patch(stdpatch);
for j=1:16,
hold o... |
global baseParameters iparam
% baseParameters('L1')=1;
% baseParameters('L2')=10;
% baseParameters('L3')=1e-4;
% baseParameters('L4')=0.03;
% baseParameters('L5')=0.02;
% baseParameters('L6')=10;
%
% baseParameters('r1')=3;
% baseParameters('v1')=5;
% baseParameters('r2')=2;
% baseParameters('v2')=0.02;
% baseParamet... |
function [M,S,P] = initialize(k,X)
%initializes the EM values
indices=randperm(size(X,1));
M=X(indices(1:k),:);
S=ones(k,1)*var(X)*0.1;
P=ones(1,k);
P=P/k;
end
|
t=0:0.1:(200-0.1);
nsamples = length(t);
mov = zeros(100,100,nsamples);
amp = .005;
f =.1;
sig = amp*cos(f*2*pi*t);
s = reshape(sig,[1,1,nsamples]);
SIG = repmat(s,[10,10,1]);
mov(51:60,51:60,:)=SIG;
sig2 = amp*cos(f*2*pi*t+.2*pi);
SIG2=reshape(sig2,[1,1,nsamples]);
SIG2=repmat(SIG2,[5,5,1]);
sig3 = amp*cos(f*2*pi*... |
clc;
syms H(w)
zeros = [];
polos =[];
mag = input('mag: ');
zeros = input('zeros: ');
polos = input('polos: ');
H(w)= mag;
for n=1:length(zeros)
H(w) = H(w) .* (1j*w + zeros(n));
end
for n=1:length(polos)
H(w) = H(w) ./(1j*w + polos(n));
end
while 1
fprintf('%s\n', H(w));
w = input('w: ');
fprin... |
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% 2 sample sizes
%
% - 2002-2018: TruestartYear and TotNbOfMonths
% + ACWI.Fundam
% + ACWI.TimeExt and Index.TimeExt
% + FF.French
%
% - 2007-2018: startYear and NbOfMonths
% + ACWI.Scores
% + ACWI.Index and Index.Cedif
% + ACWI.Chara... |
function [trialList, levels, blocks] = nBackCreateTrialList_v1_2(lowestLevel, highestLevel,trialsPerBlock ,targetsPerBlock, numOfBlocks)
%Creates stimuli list for n-back task.
% Version 1.2
trialList = [];
levels = [];
blocks = [];
for n = lowestLevel:highestLevel
disp(horzcat('Crea... |
Prompt = 'Enter the Augmented matrix in the form [1 2 3 ;4 2 1; 6 4 3] \n';
Ag=input(Prompt);
[r,c]=size(Ag);
A=Ag(:,[1:c-1]);
B = Ag(:,c);
L = tril(A, -1)
D = diag(diag(A))
U = triu(A, 1)
Xprev = input('Initial guess : in the form [1 1 1] \n');
Xnew = Xprev;
count = 1;
I=eye(r);
while(1)
fpr... |
function [ G, J, H ] = G( x )
%UNTITLED4 Summary of this function goes here
% Detailed explanation goes here
G = [x(1) + x(2) - 3; x(1)^2 + x(2)^2 - 9];
J = [1,1;2*x(1),2*x(2)];
H = [0,0;2,2];
end
|
function output = my_imfilter(image, filter)
%%
% This function is intended to behave like the built in function imfilter()
% See 'help imfilter' or 'help conv2'. While terms like "filtering" and
% "convolution" might be used interchangeably, and they are indeed nearly
% the same thing, there is a difference:
% from 'h... |
%Exercicio 8.4
%Diogo Knop e Xie Jiayu
clear all; close all; clc;
im = im2double(imread('IF69D_Atividade_08_arquivos/whitecells4.png'));
th = graythresh(im);
bw = imbinarize(im,th);
% Display
SE = strel('square', 3);
imorf1 = imclose(bw,SE);
% figure, subplot(1,2,1)
% imshow(bw)
% title('Imagem 1')
% subplot(1,2,2)
... |
% Machine Learning -- Assignment 1
%
% This simple script should be run to test all components of the assigment.
% Comment out any calls that aren't implemented when you are working on the
% first parts
clear;
do_dist_test = 1;
do_knn_reg = 1;
do_knn_class = 1;
do_prob_plots = 1;
%%%%%%%%%%%%%%%%%%%%%%%%%
% Test dis... |
function [pts2] = epipolarCorrespondence(im1, im2, F, pts1)
% epipolarCorrespondence:
% Args:
% im1: Image 1
% im2: Image 2
% F: Fundamental Matrix from im1 to im2
% pts1: coordinates of points in image 1
% Returns:
% pts2: coordinates of points in image 2
[m,~] = si... |
function suite = test_parseFloatAssertInputs
initTestSuite;
%===============================================================================
function test_tooFewInputs()
assertExceptionThrown(@() xunit.utils.parseFloatAssertInputs(), ...
'MATLAB:nargchk:notEnoughInputs');
%================================... |
function bp1 = bodeplotter2(G,glineopts,plineopts,col,fsta,fend)
% プロットの設定
% fsta = 0; % 開始周波数の指数 10^fsta [Hz]
% fend = 3; % 終了周波数の指数 10^fend [Hz]
N = 1000; % プロット点数
% 独自ボードプロットの計算
f = logspace(fsta,fend,N);
w = 2*pi*f;
[mag pha] = bode(G, w);
gain(1:length(w)) = mag(1,1,:);
phas(1:length(w)) = p... |
function draw_heater_over_temp_f(area, temp_inside)
temp_outside = -30:temp_inside;
temp_diff = temp_inside - temp_outside;
ROOM_HEIGHT_M = 2.5;
AIR_DENSITY = 1.293; % kg/m3
HEAT_CAPACITY = 0.28; % Wh/(kg*K)
%calculating house_power_loss using optimal U found in lab 2
roof_U = ... |
function [val ind] = SortSegmentationByBbox(segmentation, type)
% sort instances within the segmentation map by area size
%
if nargin < 2
type = 'descend';
end
if ~strcmp(type, 'ascend') && ~strcmp(type, 'descend')
error('wrong type\n')
end
labels = unique(segmentation(:));
areas = zeros(1, numel(labels));
... |
%% Initialization
addpath('C:\Users\Cmang\Desktop\Research\Central Planner','C:\Users\Cmang\Desktop\Research\Individual Roadmap Scripts',...
'C:\Users\Cmang\Desktop\Research\Local Controller');
load("PRM_V6.mat","G","H","valid_indices","Qi","Qf");
N = size(Qi,1);
vehicle_dimensions = struct('length',3.2,'w... |
function downloadGitHubRelease ( repository, varargin )
p = inputParser;
% repository: The username/repository adress of the code on GitHub.
addRequired ( p, 'repository', @check_repository);
% version: this optional positional parameter defines the tag_name of the
% version we want to download, or simply latest
addO... |
clear all ; close all ;
cd C:\shared\freesurfer_segs\sub_russell\SUMA ; ls
names = {'bot_right','bot_left','top_right','top_left','left_hemi','right_hemi','top_hemi','bot_hemi','full','fov','periph'};
elecbrain = load_untouch_nii('elecbrain_T1.nii.gz');
for title=1:length(names)
avg = load_untouch_nii([... |
function err = kendall(x)
%KENDALL Kendall's correlation between the vector x and [1:length(x)]
%
% err = KENDALL(x)
% returns Kendall's correlation between the vector x
% and the vector [1:length(x)]
if (size(x,1) > 1 && size(x,2) > 1)
error('Error in ranking can be done only for vectors');
end
... |
clear all
clc
parameter.trainmode = 1;
parameter.dthr = .01;
parameter.mofn =30;
parameter.ecmepochs =2;
parameter.mlpepochs =3;
parameter.dispmode =1;
load ('../../../dataset/seg.tra');
train = real(seg)';
train = [train(:,1:2) train(:,4:end)];
load ('../../../dataset/seg.tes');
test = real(seg)';
tes... |
%@(#) test.m 1.1 05/07/13 10:29:42
%
function test(dist1, dist2)
a = readdist7(dist1, 'asyid'); %Läser in de angivna filerna i a och b.
[b, mminj, konrod, bb, hy, mz] = readdist7(dist2, 'asyid');
c = mbucatch(a,b); %Läser in värden för respektive gammal och ny plats.
d = mbucatch(b,a);
l = 1;
A = zeros... |
close all
clear
setPlot
line = {'k-o','r-o','b-o','m-o','g-o',...
'k--o','r--o','b--o','m--o','g--o'};
%% IEC Site definition
Vref = 60; % Reference wind speed
zref = 87.6; % Hub height above ground
Uref = 12; % Wind speed at zref
Iuref = 0.15; % Turbulence intensity
zm... |
% Author: LesPam
function [lamn, w, k] = mPIinvShift1(A, q0, rho, tol)
% Inverse Power Method with Shift
error = 1;
%k = 0;
k = 0;
A = A-(rho*eye(size(A)));
while error>tol
w = q0/norm(q0);
q0 = A\w;
lamn = dot(w,q0);
error = norm(A\w - lamn*w)/norm(A\w);
k =... |
%%%%%%%%%%%%%%%%%%% data is splitted into x %%%%%%%%%%%%%%%%%%%%%
xlen = length(x);
xx=x;
%% Filter implementation
sig_mat = repmat(x,1,har_no) ;
sig_rep = abs(fft(sig_mat));
if (IN==2)|(IN==4)|(IN==6)
filt = D_sig60;
band_low = 59 ; band_high = 61; sig_low =59.5; sig_high =60.5... |
% This function is the primary driver for homework 3 part 1
function l3a
close all;
clear all;
clc;
% centroid for the three classes
c1=[1 1];
c2=[3 1];
c3=[2 3];
sd=0.2;
% number of data points per class
N=100;
rand('seed', 1);
% generate data points for the three classes
x1=randn(N,2)*sd+ones(N,1)*c1;
x2=randn(N,... |
function [ MMbyidimstats, Runstats, MMsummary,MM,uidim ] = testMMmethodOct31( testcaseid )
%UNTITLED3 Summary of this function goes here
% Detailed explanation goes here
if testcaseid == 1
load('test1.mat','sample','idim');
%NOTE: the above sample was generated from August15 code for
%ExampleUpdated usin... |
function Example1_16
%Example 1.16 Multicomponent gaseous diffusion with chemical reaction, p.44 Text.
% Uses the function BVP4C to numerically solve the boundary-value problem.
% BVPINIT is used to form an initial guess for the solution on
% a mesh of ten equally spaced points. A guess for the unknown parameter
% (t... |
D = dir(['/Users/tamaregev/Dropbox/postdoc/Fedorenko/Prosody/Prosody-meaning/trial_lists/input_text_files']);
D = D(~ismember({D.name}, {'.', '..','.DS_Store'})); % dir returns '.' and '..' (usually in first slot)
Tl=cell(numel(D),1);
Sent = nan(99,numel(D));
Cond = cell(99,numel(D));
Crit_Fill = cell(99,numel(D));
Mor... |
clear all;
close all;
clc;
load('filt_wav.mat');
im = imread('cameraman.tif');
im = double(im);
hp = imfilter(im,a{2},'circular','conv');
hp = imfilter(hp,a{3}.','circular','conv');
imshow(real(hp),[]); |
[~,~,~,~,gy,~,~,~,~] = import_tag_gyro2('tests/roll180.txt');
gr_reg = cumsum(gy ./ 12);
gr_loop = (mod(gr_reg+180, 360) - 180);
gr_unloop = unwrap_angles(gr_loop);
eq = (abs(gr_reg - gr_unloop) > 0.0000001);
disp('Mismatches:');
disp(sum(eq));
i = 1:size(gr_reg);
hold on
plot(i, [gr_reg, gr_loop, gr_unloop]);
legen... |
function [stateJacobian_x] = stateJac_x(dt)
%STATEFCN Summary of this function goes here
% Detailed explanation goes here
% StateVec = [x y z u v w];
stateJacobian_x = [ 1 , 0 , 0 , dt , 0 , 0
0 , 1 , 0 , 0 , dt , 0
0 , 0 , 1 , 0 , 0 ,... |
%Get all the files in the folder
MatFiles=dir('*analysis_matlab.mat');
MatFiles_names={MatFiles.name};
%Design a regular expression that match your naming scheme (https://regexr.com/)
fin = cellfun(@(x)regexp(x,'fish(\d+)_ENS(.*)_(\d)DPF','tokens'), MatFiles_names, 'UniformOutput', false);
names=zeros(3,length(fin));
... |
%/*************************************************************************
% * Replication file for Born/Pfeifer (2016): "The New Keynesian Wage
% * Phillips Curve: Calvo vs. Rotemberg"
% *
% * Computes the Rotemberg wage adjustment cost parameter corresponding
% * to a particular average wage duration
% *
% ********... |
%% MIT KEMAR HRTF data import
pos = 10; %angle in degrees rounded to nearest 5 degrees
%load HRTF data
if(pos<10)
f=['H0e00',int2str(pos),'a.wav'];
elseif(pos<100)
f=['H0e0',int2str(pos),'a.wav'];
else
f=['H0e',int2str(pos),'a.wav'];
end
c = audioread(f);
%you can leave it in f, or co... |
% read the clasification images that cover the polygon area
[img_669_259.z, R] = geotiffread('/Users/scholl/geo_uzh/data/KantonAargau/output/batch1/669000_259000.tif');
[img_669_259.x,img_669_259.y] = pixcenters(R,R.RasterSize(1),R.RasterSize(2));
[img_669_258.z, R] = geotiffread('/Users/scholl/geo_uzh/data/KantonAarg... |
classdef ISO226 < handle
%LoudnessContours Provide and manipulate loudness contour data
properties
contourSet
f
af
Lu
Tf
Lp
Ln
currentSplLevel
currentPhonLevel
end
methods (Static)
function obj = ISO226()
... |
function [META, REEF, RESULT, RECORD] = f_single_reef_for_calibration_bleaching(RESTORATION, warming_scenario, ...
do_adaptation, do_rubble, sigma_cold, sigma_hot, esd, nb_time_steps, simul)
%__________________________________________________________________________
%
% TEMP script for running only one reef... |
function [nodes, edges] = readGraph(fileName)
%READGRAPH Read a graph from a text file.
%
% [NODES EDGES] = readGraph(FILENAME)
%
% Example
% % create a basic graph, save it to a file, and read it again
% nodes = [10 10;20 10;10 20;20 20;27 15];
% edges = [1 2;1 3;2 4;2 5;3 4;4 5];
% writeG... |
% goes through experiment 10 and collects all the voided vols and voided
% times
% to see the results:
%{
obj.data.plotData('raw');
obj.void_data.plotMarkers('raw','cpt');
obj.void_data.plotMarkers('raw','user');
%}
obj = analysis.void_finder2;
obj.data.loadExptOld(10);
results = cell(8,... |
TestsToRun = [2];
if any(1==TestsToRun)
%% Compares input digits to output
close all;
itrCount = 6000;
testDataSize = 20;
netNum = 1;
imageNum = 1;
ran=[11:20];
% shuffled = randperm(size(Imgs_Test,3));
% Imgs_Test = Imgs_Test(:, :,shuffled);
% disp(shuffled(1:10));
for... |
directories = {'Fridge', 'Light', 'Microwave', 'Oven', 'Phone', 'Television', 'TurnOff', 'TurnOn'};
recordingDir = '/Users/Sam/Dropbox/Uni/EN2202/Recordings/';
[sample,fs,nbits] = wavread(strcat(recordingDir, directories{2}, '/', int2str(1), '.wav'));
%words{word_i, sample_i} = sample;
mfccs=getNormalisedFeatures(sam... |
function probeFreq()
global screen
try
Add2StimLogList();
% start the stimulus
InitScreen(0)
% Define the PD box
pd = DefinePD();
totalFrames=0;
halfPeriod = [2 1 .5 .25 .1];
repeatsN = 20;
for i=1:length(halfPeriod)
framesN = round(halfPeriod(i)/screen.ifi);
... |
function coeff=new_coeff_d(coeff,net_size,coeff_bounds)
a=floor((net_size(3))*rand)+1;
b=floor((net_size(1)+net_size(2)+net_size(4))*rand)+1;
coeff.dilations(a,b)=(coeff_bounds(4)-coeff_bounds(3))*((0.2-0)*randn)+coeff_bounds(3); |
% Simple example of self-organizing maps
x = simplecluster_dataset;
net = selforgmap([5 5]);
net = train(net,x);
plotsompos(net); |
m=int32(1920);%for testing only, just make sure for tests that dimensions of A match partition vector
K=int32(13);
density=single(100);
[ A,b,partition,lambda ] = GenerateRandomGroupLassoDataSet( m,K,density );
%NOTE: maximum number of lambdas is 31, and best to keep the number of
%lambdas less than smallest dimensio... |
function [fitness x]=fitness_function(x, opts)
%example fitness function to fit a neural network surface to
% z= 0.5*sin(pi*y(1,:).^2).*sin(2*pi*y(2,:));
if nargin<2
N_neurons=5;
else
N_neurons=opts.N_neurons;
end
N_p=10;%number of points in each dimension
y=[reshape(linspace(0,1,N_p)'*ones(1,N_p),1,[]);reshape((l... |
function [ GPy, par ] = extractGPy( par, zipInf )
%extract parameters of GPy from a vector of parameter values as per zip
%information
currParIdx = 1;
if zipInf.isSigmaF
GPy.sigmaF = par(currParIdx, :);
currParIdx = currParIdx + 1;
end
if zipInf.isSigmaL
GPy.sigmaL = par( currParIdx : currParIdx + zipInf... |
% reader of Neo spool files, 16 bit only (not 12-bit pack)
function [data, tick64] = readNeoSpool(spoolfn,nx,ny,varargin)
p = inputParser;
addOptional(p,'nFrame',12) % for 2012-2013 Solis, was 11 ...
addOptional(p,'AOIstride',8) %always 8?
addOptional(p,'colfirst',true) %false for 2012-2013 Solis?, true for 2015 Solis... |
function display_segmentation(B,M)
% display_segmentation - display a level set segmentation
%
% display_segmentation(B,M);
%
% B should be <0 inside the region of interest
% M is a background image
%
% See also: perform_active_contour
%
% Copyright (c) 2007 Gabriel Peyre
if min(B(:))>=0
if max(B(:))... |
%n = n;
l = ell;
fKOZ = fKOZ;
fR2D = fR2D;
ImplementationCosts = Cimpl;
PerformanceValues = Performance;
EnergyConsumption = Energy;
%u = u;
rix = componentPositions(:,1)';
riy = componentPositions(:,2)';
riz = componentPositions(:,3)';
%ai = ai;
%bi = bi;
% Adjazenzmatrix des networks, dann aber als Spaltenvektor
eN ... |
function packetChannelTest( SCOM, RCOM, RCOM2 )
% Perform basic testing with the wixels
% Need to have sending on one wixel, and receiving on two
global output1;
global output2;
output1 = [];
output2 = [];
% Open the serial connections
s = serial(SCOM);
r = seria... |
function dX_dt = indirect_odes_tf(t,X,Chaser)
% INDIRECT_ODES_TF Compute the state derivatives for the indirect
% optimization method
%
% dX_dt = indirect_odes_tf(t, X, Chaser)
%
% Inputs:
%
% - t: propagation time, relative to mission start (t = 0)
% - X: state vector,
% X = [r, ... |
function [c,a_match,b_match] = union_sorted(a,b)
%UNION_SORTED Set union of sorted sets.
% UNION_SORTED(A,B) where A and B are vectors returns the combined values
% from A and B with no repetitions. A (and B) must be sorted and unique, and
% the result will be sorted and unique.
%
% [C,A_MATCH,B_MATCH] = UNION... |
function [FitnessMatrix,popsizenow] = fitness(Crowdness,preferenceMatrix,Population)
popsizenow=length(Population)/Crowdness;
for j=1:popsizenow
individual=Population(((j-1)*Crowdness+1):(j*Crowdness));
p=zeros(Crowdness,4); % p is physical appearance of the individual
for i=1:Crowdnes... |
function SlideCut(FilePath,N,SaveFile);
Set.filename = FilePath;
fd = PetscOpenFile(Set.filename);
Set.S = PetscBinaryRead(fd,'complex',true,'indices','int64','precision','float32');
%-vecload_block_size 1
close(fd);
n = round( length(Set.S)^(1/3) );
Set.S = reshape(Set.S, [n,n,n]);
x = zeros(N,1);
step = 1/N;
for j... |
function [z dzm dzi] = p2z(rho,dpi,dpm,g,nz);
% p to z for CESM outputs
for iz = 1:nz
% if (iz > 1)
dzm(iz) = dpm(iz)/(rho(iz)*g); % dpm = rho * g * dzm from surface to mid-point and so on to the next mid-point,
% add surface geopotential height phis/g, ma... |
% characterizeProbe Characterize probe delay
%
% This method characterizes the delay for a PDV probe digitizer. Two
% pieces of information are needed for this calculation:
% -Transit time for the probe [measurement], including the optical
% switch.
% -Transit time for the optical switch only [reference].
% Thes... |
% X: data matrix, each row is one observation, each column is one feature
% d: reduced dimension
% type: type of kernel, can be 'simple', 'poly', or 'gaussian'
% para (input): parameter for computing the 'poly' kernel, for 'simple'
% and 'gaussian' it will be ignored
% Y: dimensionanlity-reduced da... |
%% Reads in two flat files and generates the boxplot comparing
% simulation data against the GMPEs. Mostly unmodified version
% of the script from Ronnie Kamai
ymin = 0.0003;
ymax = 20000*ymin;
% Name = ['-gmpe' num2str(Mag*10) num2str(Dist) ];
Sims = csvread(SimsFile);
GMPEnum = csvread(GMPEFile);
GMPELabe... |
function str = insertCommas(num)
str = num2str(num);
FIN = length(str);
for i = FIN-2:-3:2
str(i+1:end+1) = str(i:end);
str(i) = ',';
end |
function zslice
%% Prepare parameters
lambda= .532; % wavelength [Ám]
N = 1024; % Resolution
type = 'axicon'
img = [];
for z=0:1:50
%% Prepare transfer function
freqx=-10:20/N:10-1/N; % setup frequency axis [1/Ám]
[freqx,freqy] = meshgrid(freqx,freqx);
H = exp(1i*2*pi*(z/lambda)*sqrt(1-(lam... |
function theta = q6_train(X, Y, xtest, tau)
% Trains the locally weighted linear regression (LWLR) model using the
% closed form solution given the training data X, Y, the test
% input vector xtest and the parameter tau.
%
% INPUT:
% X : [m x d] matrix, where each row is a d-dimensional input example
% Y : ... |
warning off all;
clc;
clear all;
close all;
FigWin = figure('Position',[50 50 650 500],'Name','EatIT-Calorie Prediction Application',...
'NumberTitle','off','Color',[ 0.82 0.81 0.77 ]);
AxesHandle = axes('Position',[0.25 0.15 0.65 0.75], 'Box','on');
imageLoad='INPUT IMAGE';
h=uicontrol(F... |
% Карасёв Марк Иванович
% ТП1 Статистика
% Слава СССР !
% 7.1
disp("7.1 :\n");
function [moy, ect, med, q1, q3] = statdesc(x)
moy = 0;
ect = 0;
med = 0;
q1 = 0;
q3 = 0;
if(nargin != 1)
usage ("statdesc (vector)");
endif
if(isvector(x))
n = length(x);
moy = sum(x)/n;
... |
function niceplot(h)
% function niceplot(h)
% This function takes a subplot handle and cleans up the plot
%
% Matthew A. Smith
%set(h,'Color','none');
set(h,'Box','off');
set(h,'TickLength',[0.02 0.0]);
set(h,'TickDir','out');
%set(h,'yticklabel',[]);
%%%%%%%%%%%%%%%%%%%%%%
% From Najib:
%figure
%set(gcf,'paperorie... |
fr = 60e3 ;
% butter design
fd = 75e3 ;
f1 = 90e3 ;
f2 = 1*fd ;
f3 = 1*fd ;
q1 = 1.3 ;
w1 = 2*pi*f1/fr ;
w2 = 2*pi*f2/fr ;
w3 = 2*pi*f3/fr ;
b1 = [1 w1/q1 w1^2] ;
b2 = [1 w2] ;
b3 = [1 w3] ;
b = w1^2*w2*w3 ;
a = conv(conv(b1,b2),b3) ;
w = 2*pi*logspace(-0.5,0.7,1000)' ;
f = w/2/pi ;
h = freqs(b,a,w) ;
figure(1),clf... |
% % img_undistorted = undistortImage(img,K,D,1);
% img_undistorted = undistortImageVectorized(img,K,D);
fig1 = figure(1);
for img_idx = 1:7465
% if isfile(filename)
filename = ['../data/images_grey_undistorted_cropped/',sprintf('IMG_%04d.jpg',img_idx)];
img = imread(filename);
imshow(img)
% ... |
function calibration_pkey=add_calibration_to_t_calibration(ac_db_filename,varargin)
p = inputParser;
addRequired(p,'ac_db_filename',@(x) ischar(x)||isa(x,'database.jdbc.connection'));
addParameter(p,'calibration_date',now,@isnumeric);
addParameter(p,'calibration_acquisition_method_type','Standard sphere, in-situ',@... |
close all;
clear all;
clc;
Caps=[12 20 45 48 55 100 130 145 200 325 350 375 400 425 450 500 800 850 1000 2200];
NumData=10;
B=[];
for i=1:NumData
DataName='States';
DataName=strcat(DataName, num2str(i));
load(DataName);
A=States;
Concat=[B; A];
B=Concat;
clear States;
end
States=B;
MaxTrR... |
function [directions, thresholds, leaf_probabilities] = train_tree( X, Y, max_depth, tree_type)
% Dimensions:
% N - number of data points
% D - dimension of data points
% L - number of labels
% Input:
% X - training data [NxD]
% Y - training labels [N]
% max_depth - highest allowed tree depth
% (in the im... |
function J = determine_greedy_indices(Phi_residual,Phi_stiffness,ni,K_stiffness)
%% Following Algorithm 5 from Fahrat 2010
N = size(Phi_residual,1);
n_R = size(Phi_residual,2);
n_K = size(Phi_stiffness,2);
J = [];
K_set = [];
n_bar = 0;
m = 1;
R_vec = Phi_residual(:, 1);
K_vec = Phi_stiffness(:,1);
w... |
function out = rv( in )
% rv 3D rotation vector <--> 3x3 coordinate rotation matrix
% E=rv(v) and v=rv(E) convert between a rotation vector v, whose magnitude
% and direction describe the angle and axis of rotation of a coordinate
% frame B relative to frame A, and the 3x3 coordinate rotation matrix E
% that transfo... |
function [x,count,e,flag] = LSRefinement(A,x0,b,error, maxiter)
%LSRefinement refine a LS with x0 been the first approximation
r = b - MatrixMulti(A,x0);
c = LUSolver(A,r);
x = x0 + c;
e = Linfty(x,x0);
count = 0;
while (e > error) && (count < maxiter)
x0 = x;
r = b - MatrixMulti(A,x0);
c = LUSolver(A,r);... |
clear all
%% input
load('energy.mat');
%date time year-month-day hour:minute:second
% Appliances, energy use in Wh
% lights, energy use of light fixtures in the house in Wh
% T1, Temperature in kitchen area, in Celsius
% RH_1, Humidity in kitchen area, in %
% T2, Temperature in living room area, in Celsius
% RH_2... |
function [train, test] = loadDataset(dataset)
% dataset.{name, trainPerClass_num, normalization}
%
%% get data.mat's folder
filename_dataset = [dataset.name '.mat'];
address_dataset = fullfile('Mat', filename_dataset);
if ~isfield(dataset, 'random')
dataset.random = 1;
end
if ~isfi... |
% change the file from gisaid, such that there are no unneeded linebreaks
clear
f = fopen('gisaid/gisaid_full.fasta');
g = fopen('gisaid/gisaid_cleaned.fasta', 'w');
% print the first line
line = regexprep(fgets(f), '\n','');
fprintf(g, '%s', line);
while ~feof(f)
line = regexprep(fgets(f), '\n','');
if strcmp(... |
function EliminateSensor( tComputer )
% iDevicesIDs
%
% iDevicesIDs
iDeviceID = input( 'Enter the ID of the sensor to be eliminated\n' );
% iDevicesIDs
%
% iDevicesIDs
% find the row
% iDevicesIDs
aiListOfDevicesIDs = tComputer.tDatabase{1};
% iDevicesIDs
%
% iDevicesIDs
iRowIndex = find( aiListOfD... |
function grid = runGrid(grid)
% runGrid - run the grid for a single particle chosen at random.
% This function runs each particle in the grid once, and manages
% all the meta-level operations of dissolving the concentrations
% and outputting any signals from particles affixed to the output pad.
% inputs:
% grid - t... |
function randbattle
% This function is a strategy to play battleships. The strategy is purely
% relies on randomly shooting in a 10 X 10 grid until all ships have been sunked.
% The strategy uses none of the information or feedback from any shots
% fired. The only logic is that it remembers where it has previously fi... |
function f_exportR(x,x_row,x_col,fname)
% - export data for import into R
%
% USAGE: f_exportR(x,x_row,x_col,'fname');
%
% -----Input:-----
% x = matrix of numerical values
% x_row = cell array of row labels
% x_col = cell array of column labels
% fname = output filename
%
% -----R commands for import/export:-----
... |
%clear all
%close all
num = 1500;
load('../output.dat')
A = reshape(output, [49 49]);
A = A';
N = 50; % Number of grid in x,y-direction
L = 4*pi; % Domain size
% Grid point
x = linspace(0,L,N);
y = linspace(0,L,N);
% Make it staggered.
x = (x(1:end-1)+x(2:end))/2;
y = (y(1:end-1)+y(2:end))/2;
[X,Y] = meshgrid(x,y);
fig... |
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%% IQM Tools - PopPK Example
%
% SCRIPT_01_popPK
% ---------------
% The purpose of this script is to go through a complete popPK analysis.
%
% The data that is used in this popPK example has been simulated from an
% underlying popPK mo... |
function [ v, w ] = ik_controller( x_c, y_c, theta_c, x_g, y_g )
%UNTITLED2 Summary of this function goes here
% Detailed explanation goes here
%Input = current pose -x_c,y_c,theta_c (in degrees)
%output position = x_g, y_g
%Output = List of v and omega (in rad/s) that will achieve this at a sampling rate of
%dt =0... |
% Filename : rectwg_gather.m
% Author : Lnyan
% Email : i@llonely.com
% =============================================================================
% Description :
% 所有模式的场量叠加
function [ex,ey,ez,hx,hy,hz,jx,jy,jz]=rectwg_gather(mode_list,x,y,z,t,f,a,b,A,epsilon_r,mu_r)
m=mode_list{1}(1);
n=mode_list{1... |
function [tr] = linkFlowLDOF(data, options)
p = data.height;
q = data.width;
nf = data.nframe;
sample_step=options.sample_step;
margin=options.margin;
[ys,xs]=ndgrid(margin:sample_step:p-margin,margin:sample_step:q-margin);
ys=ys(:);
xs=xs(:);
sinds=sub2ind([p,q],ys,xs);%将坐标（ys，xs）在原【p，q】大小矩阵中，转化成下标大小。得到是：采样的坐标
X=ze... |
% qm001.m
clear
close all
clc
global E k
tic
% INPUTS ==============================================================
% Energy of particles [eV];
E = 200;
% X axis [nm]
xMin = 0;
xMax = 5;
% Grid points
N = 500;
% CONSTANTS ===========================================================
e = 1.6021766... |
T = 8;
%in functie de rezolutia temporala, se vor introduce vectori diferiti
T1_temaPCT5_Coman_Ionut_Ovidius_Cristian(0:0.002:T,1) % 2ms = 0.002s
T1_temaPCT5_Coman_Ionut_Ovidius_Cristian(0:0.02:T,2) % 20ms = 0.02s
T1_temaPCT5_Coman_Ionut_Ovidius_Cristian(0:0.2:T,3) % 200ms = 0.2s |
function dMdx = MnUBmsob2(x,M,p)
% p is a structure with the parameters
dMdx=zeros(size(M));
% Set the first derivatives
I = 1:p.n;
dMdx(I)=M(p.n+I);
Msum = sum(M(I));
dMdx(p.n+1) = p.K1 * M(1)/(p.K2+Msum) - 2 * p.K6 * sum(M(2:p.n));
J = (2:p.n-1)';
dMdx(p.n+J) = p.K... |
function [sleepLat latDef] = calcSleepLat(stages)
% Stephanie Greer and Jared Saletin
% Walker Lab, UC Berekeley 11/22/2010
%
% Calculates sleep latencey as the first epoch of the first 90 secs of
% continuous sleep.
%
sleep = find((stages > 0) & (stages < 6));
foundOnset = 0;
sleepLat = sleep(1);
count = 1;
epCount =... |
%% =======================================================================%
% benchmarking Poisson solver
% ========================================================================%
clc
NX = [64 128 256 288 320]; % 384 is too big and uses 64GB + swap
for n = 1:numel(NX)
MESH.NX = [NX(n), NX(n), NX(n)];
... |
addpath('../general_functions')
load('../data/fig5_1a.mat')
%% figure 5_1a
x=1:N; y=u; legend_entries={"$\lambda = 1 - 10^{-2}$", "$\lambda = 1 - 10^{-6}$", "$\lambda = 1 - 10^{-10}$", "$\lambda = 1 - 10^{-14}$"};
legend_loc='northeast';
xLab='$k$'; yLab='$u_k$'; xLim=[0, 80]; yLim=[0, 1]; filename="../figures/fig5_1... |
%MIT License
%Copyright (c) 2018 Anaël Leinert
%Permission is hereby granted, free of charge, to any person obtaining a copy
%of this software and associated documentation files (the "Software"), to deal
%in the Software without restriction, including without limitation the rights
%to use, copy, modify, merge, publis... |
%% AG. Mitchell - 23.01.19
%% Analysis for landmarks 2AFC task
% Takes the data from the landmarks 2AFC task and calculates percentage of
% 'top line longer' responses for each left/right shift.
% Calculates psychometric curve (cumulative normal) based on this data
%% Load data
%% Edited demo to fit bias study data (L... |
% CE3 - Вычислительный эксперимент ╧3
% Попытка ╧3
% Определение оптимального регулирующего воздействия по критерию
% минимума СКО при заданных спектрах уставки, помехи и известном
% объекте.
%echo on
%clc
% Исходные данные задачи
% Рассчитаем полиномы в числителе и знаменателе операторныx функций
% y-уставка
Ny = 3... |
function [f_, stats] = getF_(f, mode, winSize)
% f_ = getF_(f, mode)
% default mode is linear, w/ robust fit estimation
if ~exist('mode','var') || isempty(mode)
mode = 'custom_wfun';
end
if ~exist('winSize','var') || isempty(winSize)
winSize = 27*2*60; % Assuming a framerate of 27 Hz;
end
switch mode
cas... |
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