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% Figure: clustered heatmap (clustermap)
% 03.05.2020 JR
% Generates a hierarchically-clustered heatmap from a numeric array.
%
% %%%%% Usage %%%%%
% CLUSTERMAP(data, row_label, col_label, cmap) performs
% hierarchical clustering via LINKAGE and DENDROGRAM and visualizes data
% via HEATMAP. Rows/columns are la... |
%% Changes the endian of an array
function out = swapendian( msg )
s = fliplr(msg); % Flip array
i = 1;
while i < length(s) %Through array
s([i i+1]) = s([i+1 i]); % Flip bits
i = i + 2;
end
out = s; |
function[M,trasy]=local(seq1,seq2,kara,nagroda,przerwa,poczatek,koniec)
if (length(seq1)>length(seq2))
A=seq2;
B=seq1;
else
A=seq1;
B=seq2;
end
iloscW=length(B)+1;
iloscK=length(A)+1;
M=zeros(iloscW,iloscK);
back = zeros(iloscW,iloscK);
back(1,2:iloscK)=70;
back(2:iloscW,1)=7;
for i=2:iloscW
f... |
function [c] = config_getdefault()
c = segmentation_configuration();
c.memory_efficient = 0;
% 1== github, 2==denis, 3==lindmik
c.dataset = 1;
% Feature Extraction Parameters
c.sampleRate = 4000;
c.secondsPerTile = 5;
c.minTrackLength = 134;
c.maxExpectedTrackWidth = 641; % (magicisland=380*2 others 350*2)
c.band... |
function [X_poly] = generate_poly_features(X,k)
X_poly = [];
for j = 1 : k
% for each value j from 1 to k, calculate power of the matrix times j.
trainRow = power(X,j);
% on each iteration size of each matrix increases. Thus to append the new
% matrix generated, make a grid of size equal to the co... |
function nii2analyze(casFilesNii)
% EXAMPLE
% casFilesNii = {'./arun_01.nii;./rtmp_variance.nii;./run_01.nii};
% nii2analyze(casFilesNii);
% $Id: nii2analyze.m 1279 2014-03-24 20:06:25Z klitinas $
% $HeadURL: svn+ssh://klitinas@anger.engin.umich.edu/svn/matlab/img/trunk/nii2analyze.m $
% Loop through and convert each... |
% Example 1.1
R=10
i=[0:2:10]
v=R*i
P=V*i
T=[i;V;P]
|
function [Solution2,Solution] = Generate_Segments(row,column)
%%
n2=(column*row-1)/8; n3=(column*row-1)/4;
Solution=cell((n2+n3),1); Solution2=cell((n3*3/2),1);
position2=zeros(2,2);position3a=zeros(3,2);
position3b=zeros(3,2);position2a=zeros(2,2);
position3a(1,1)=0;
position3a(1,2)=(row-1)/2;
position3a(2,1)=(row-1... |
% This file is a demo of UMUTracker Project.The UMUTracker is currently under active development.
% Related information can be found in the paper :
%
% Hanqing Zhang, Tim Stangner, Krister Wiklund, Alvaro Rodriguez, Magnus Andersson
% UmUTracker: A versatile MATLAB program for automated particle tracking of 2D light ... |
function void = assignmentOneSub(dataMatrix)
% first assignment of Offline-2 (auxiliary part)
% main operations are accomplished here
%
% Input:
% dataMatrix = matrix containing given sets of data
% Output:
% this function returns nothing
% task-1 (NOTICE: graph plotting)
figure; % NOTICE
sc... |
function error=LR_SteepestDescent( Xtrain, Ytrain, Xtest, Ytest )
%Batch
%Construct nonlinear basis function
intercept=ones(size(Xtrain(:,1)));
x_quad=Xtrain.^2;
x_3=Xtrain.^3;
Xtrain_new=cat(2,intercept,Xtrain,x_quad,x_3);
%Initiate weights
weights=ones(size(Xtrain_new(1,:)'));
%initiate alpha
alpha=1e-5;
for n=1:100
... |
function [ Q, R ] = ModGSQR( A )
%ModGSQR zmodyfikowany algorytm rozkładu QR Grama-Shmidta
% A - macierz wejściowa
% Q - macierz wyjściowa ortogonalna
% R - macierz wyjściowa górna trójkątna
[m,n]=size(A);%macierz A może nie być kwadratowa
Q=zeros(m,n);
R=zeros(n,n);
d=zeros(1,n);
for i=1:n %rozkład QR
Q(:,i)... |
function next_gen_infomation_sturct = ...
Explore_next_gen(current_gen_info)
%This function is at the cuurent genration level - we want to find the
%paths that coreesponding current bi points, the end points of the paths
%and set up the next gen structure
% I -
% current_gen_info = struct;
% current_gen_info... |
%% Remap to Depth
% Calls linearEOS.m and Resplotter.m (which calls RSF.m)
function [Psimap]=Remap(start,t,option)
%% This functions remaps Streamfunctions in (y,t) or (y,rho) into (y,Rho(z))
%Inputs:
%Fname = String of years e.g.225-230
%Option: 1= Temp layers 2=Density layers
%Calls RSF2 RSF3, linearEOSDens
close al... |
function C = vec2col(v,w,step, dim, ctr)
% function C = vec2col(v,w,step, dim, ctr)
% Splits a vector (or the columns of a matrix) into windows with length w,
% stepping with length step.
%
% Mercurial revision hash: $Revision$ $Date$
% Copyright (c) 2010, Eric Tytell <tytell at jhu dot edu>
if (nargin < 5)
ctr = ... |
function [J, Grad ] = nnCost( x,y,theta )
% Summary of this function goes here
% This is a costfunction with backward propagation
% The neural netwrok contains two hidden layers with 3
% neurons in each layer.
% Detailed explanation goes here
% Coded by Hemanth Manjunatha on Mar 28, 2016
% Initilaize the Variables
[a... |
clear
clc
format compact
close all
warning('off', 'optim:quadprog:HessianNotSym')
%% Robot Model
[PARAMS, PARENTi, KINE, INER, CNCTPTS] = PendModel();
[RobotLinks, RobotParam] = PendRobot(PARAMS, PARENTi, KINE, INER, CNCTPTS);
n = RobotParam.n;
m = RobotParam.m;
%% Wrong RobotModel - What Controller Thinks
[PARAMS2,... |
function [this, tt, ts] = trend(this, varargin)
% trend Estimate time trend in time series data.
%
% Syntax
% =======
%
% Input arguments marked with a `~` sign may be omitted.
%
% x = trend(x, ~range, ...)
%
%
% Input arguments
% ================
%
% * `x` [ tseries ] - Input time series.
%
% * `~range` [ numeric... |
function [ data ] = getP2C( data, wb )
%getP2C Calculates a frame's proximity to its cluster centroid
% Preallocate
nGroups = numel(data.clusters);
nrf = numel(data.frames);
d2c = zeros(nrf,1);
% Calculate distance between frame and cluster centroid
waitbar(0,wb,'Calculating distance to cluster ce... |
%{
Newton Raphson system equations
Input :
% matEq Matrix with the n equations
% vVal Vector with the initial value of the variables
% it Number of iterations
output :
% vRoots
% vEa
% message
%}
function [varargout] = NRS(matEq, vVal, it)
n = size(matEq,1);
v = [vVal];
vEa = [];
syms(sym('x',... |
function Ndumpgptstart(fid,ax,ay,x1,y1,x2,y2)
fprintf(fid,"reset\n");
fprintf(fid,"unset border\n");
fprintf(fid,"unset key\n");
fprintf(fid,'set size ratio %f\n',ay/ax);
fprintf(fid,"unset tics\n");
fprintf(fid,"set size ratio %f\n",(y2-y1)/(x2-x1));
fprintf(fid,"set xrange [%f:%f]\n",x1,x2);
fprintf(fid,"set ... |
clc,clear all,close all;
image = imread('pout.tif');
image_new = imadjust(image, stretchlim(image), [0.0, 1.0]);
subplot(221);
imshow(image);
title('Original image');
subplot(222);
imhist(image);
title('Histogram of original image');
subplot(223);
imshow(image_new);
title('Stretched image');
subplot(224);
imhist... |
function [Q2,QT,priceR,priceT,prI,prP,W] = m1_expost_outcomes(t,Qm,a,b,c1,c2,x,k,n_i,th1,th2)
Q_max = exp(a-b*(c1+t)); % Entire energy market at dirty energy prices
if c2-th1+Qm >= c1+t; % Impossible to exceed mandate %
Q2 = Qm;
priceR = c2-th2+Qm;
prI = (th1-th2)*Qm;
else; % Possible for winner to ... |
I=zeros(400,400);
I(100:300,100:300)=1;
% imshow(I);
I=imread('giraffe.jpg');
I=im2double(rgb2gray(I));
hx= [ -1 0 1;
-1 0 1;
-1 0 1 ];
hy=hx'
Ix=abs(conv2(I,hx,'same'));
Iy=abs(conv2(I,hy,'same'));
imshow([Ix Iy Ix+Iy (Ix+Iy)/2]) |
function outArray = sample_Interpolation_Cimini_ER_Bin(sr,sc,z,theta,Nsample)
prodMat = (sc*sr').^theta;
if length(z(:))==1
%if the z input is a number then treat it as a number
tmp = z*prodMat;
elseif prod(size(z)==size(prodMat))
% check wether the dimension of z is compatible... |
function result = phi(currPointB, neighborA, neighborC)
AB = currPointB - neighborA;
BC = neighborC - currPointB;
result = acos(dot(AB, BC)/(norm(AB, 2)*norm(BC, 2)));
end
|
%% Choose only images from dataset 3
imNumsToUse = [70:173, 175:225]; % skip the category with only 7 frames
%% Load gabor images (huge time-saver!)
inputfile = 'data/preprocessing/2014-12-04/gaborBands.mat';
load(fullfile(rootpath, inputfile), 'gaborBands');
%% Continue with contrast images
outputdir = fullfile(root... |
function [bands] = bci_freq2band(fp,f,df,fs)
%fp = Nx1 (number of frequency points)
%df = step per band
%f = center frequencies
[Nf] = length(fp);
NBand = length(f);
bands = zeros(1,NBand);
dn2 = ceil(Nf*df/(2*fs));%number of point for half df
fcn = floor(Nf*f/fs);%number of points per center frequencies
fcnl = fcn-dn2... |
%Code was copied and edited from MATHWORKS examples
%http://www.mathworks.com/help/images/examples/color-based-segmentation-using-k-means-clustering.html?prodcode=IP&language=en
%Edited by: Andrea Hidalgo
%July 10th, 2014
figure(1)
RGBsample = imread('RGBsample.jpg');
imshow(RGBsample),title('Messier-83');
te... |
% Copyright (c) 2012 Romain Hennequin (http://www.romain-hennequin.fr/).
% script to synthesize audio data from a MIDI file.
clear all
% directory of MIDI files
inputDirectory = 'sounds\separation\score informed\Midi';
directory = dir(inputDirectory);
for p = 3:length(directory)
% name of the MIDI file
M... |
close all;
x = csvread('data.csv');
x = [ x zeros(1,200)-1];
n = numel(x);
M_max = max(x);
M_min = min(x);
R = max(x) - min(x);
MX = 1 / n * sum(x);
DX = 1 /(n - 1) * sum((x - MX).^2);
Sigma = sqrt(DX);
fprintf('\nM_min = %.2f\nM_max = %.2f\nR = %.2f\n', M_min, M_max, R)
fprintf('\nMX = %.2f\nDX = %.2f\n', MX, DX);
... |
c = [1; 0; 1];
A = [1, 2, 0; 1, 0, 2];
b = [5; 6];
lb = [];
ub = [];
ctype = "US";
vartype = "CCC";
sense = 1;
[xmax, fmax, status, extra] = glpk(c, A, b, lb, ub, ctype, vartype, sense)
|
function filteredDetectedEvents = chainQ_new_V2(timeSeries, seedPositions, windowSize, duplicationThreshold, maxChainLen)
tic
DEBUG = 0;
maxOverlapRestricted = round((7 / 8) * windowSize);
maxOverlapRelaxed = round((1 / 2) * windowSize);
chainsFromED = [];
chainsFromDTW = [];
for i... |
function [zeroFormGN] = globalNumbering_0_form(obj, p)
% globalNumbering_0_form computes the local to global numbering of 0-forms
% of polynomial degree p on the SurfaceOfSphere mesh.
%
% The numbering is done along eta first and then xi. According to the
% schematics below:
%
% G
% ... |
function [ posa,nega ] = list2()
%UNTITLED Summary of this function goes here
% Detailed explanation goes here
[File_Name Path_Name]=uigetfile({'*.xlsx'},'Select Review Data');
some=strcat(Path_Name,File_Name);
data=xlsread(some);
intensity=data(:,1);
pitch=data(:,2);
%imshow(intensity);
a=max(intensity);
b=min(int... |
%---------------------------------------------------------------------
%---------------------------------------------------------------------
%
% Startup script for plot settings in MATLAB
%
%---------------------------------------------------------------------
%
% Dependencies; none.
%
% Ryans ROMS Matlab and netcdf... |
function F= myfun_Xaxis_RFdirection_2order(c,x)
% the function of pseudo potential around the position
% x(j,1)==X,
% F= c1 x^2+c2*x+c3
n=size(x,2);
for j=1:n
F(j)= c(1)*x(j)*x(j)+c(2)*x(j)+c(3);
end
end
|
%script to test interp3 of the UWBRAD data
clear all
D=load('dat/TbUWBRAD.mat');
x=20;
rhoi=rand.*range(D.rho)+min(D.rho);
dTi=rand.*range(D.dT)+min(D.dT);
Bi=rand.*range(D.B)+min(D.B);
Tbi=ObsModel(D,rhoi,dTi,Bi,x);
for i=1:length(D.rho),
for j=1:length(D.dT),
for k=1:length(D.B),
plot(D.... |
N = 24;
[D, x] = fourierDiff(N);
% smooth function in [0, 2*pi]
f = exp(sin(x)); fprime = cos(x).*f;
% plot(x, D*f' - fprime', '-m', 'Marker', 'o');
% smooth function in [0, T]
T = 3;
t = 3*x/(2*pi);
f = exp(sin(t*2*pi/3)); fprime = (2*pi/3)*cos(t*2*pi/3).*f;
plot(t, (2*pi*D*f')/3 - fprime', '-m', 'Marker', 'o'); |
%题目 协变量 x -1 -1 0 0 0 0 1 1 1
% y 2 3 6 7 8 9 10 12 15
%求泊松分布
%答案 lamda = y = exp(ax+b) a=1.8893 b=0.6698
clc;
clear;
X=[-1;-1;0;0;0;0;1;1;1];
Y=[2;3;6;7;8;9;10;12;15];
X=[X,ones(size(X,1),1)];
W=rand(2,1)-0.5;
a=0.00001;
epsilon=0.0000000001;
for i=1:100000
deltaW=a*X'*(Y-exp(X*W)); %更新过程 ... |
% Entry function for the preprocessing. Takes a given image and
% preprocesses it in order to facilitate the following component
% retrieving step.
function [im_mute, im_binarized, im_thin, ocrResult] = preprocess(im_original, answer)
%% preprocessing parameters
bin_threshold = 150/255;
%% image region choosing
% if ... |
% Berechnung des 25%-Quartilkoeffizienten der Schiefe
q = quantile(Klebermenge,[0.25 0.5 0.75]);
g25 = ((q(3)-q(2))-(q(2)-q(1)))/(q(3)-q(1))
% Berechnung des Momentenkoeffizienten der Schiefe
gm = skewness(Klebermenge)
|
function fp_plot( op, fname, figure_number)
% Run this after fp_ini.m and one of fp_*.slx
% to obtain plots, or simply the signals
% March2017, J. Gaspar
% June2017 "MODIFIED" by João Ribafeita
% more operations asked via arg 'op'
switch op
case 'load'
fp_plot_data_load(fname) %loads fi... |
close all
clear all
clc
Fs = 1000;
time = 0:1/Fs:4;
t_stim = 0:1/Fs:2;
SR = 0.1:0.1:1.5;
N_MU = 120; %number of motor unit
i_MU = 1:N_MU; %motor unit identification index
RP_MU = 100; %range of twich force across motor untis in unit of fold
b_MU = log(RP_MU)/N_MU; %coefficient to establish a range of twich force value... |
close all; clear all; clc;
ap.ThisFile = fileparts(mfilename('fullpath'));
cd(ap.ThisFile);
nm.ThisFile = mfilename;
load('matlab.mat')
%% Do some testing
try
[grade, grade_theses, grade_prog] = calculateGrade(con, strPoints, numTheses);
catch err
error([mfilename ': ' err.Message]);
%% Clean up
c... |
function [ array_out ] = apply_filter_mad3(array_in)
%A function to apply the a filtering whereby only data that lies within 3
%median absolute deviations of the median is kept. Each row of the data is
%filtered seperately.
% *INPUT*
% array_in: ARRAY - array of data.
% This structure can be create... |
%QT_DIRCOS2QUAT_E Convert direction cosine matrix to quaternion
%
% Syntax:
% q = qt_dircos2quat(C)
%
% In:
% C - Direction cosine matrix
%
% Out:
% q - Unit quaternion
%
% Description:
% Convert direction cosine matrix C to quaternion q.
% This code is compatible with Eigen package.
% Copyright (C) 2014 Sim... |
n = 100;
X = rand(n, 2);
y = [ones(n/2, 1); -ones(n/2, 1)];
splitGain = MSESplitGain('constant');
splitGain = splitGain.reset(X, y);
n = 1000000;
y = rand(n, 1);
yPred = rand(n, 1);
for i = 1:1000
end
tic
for i = 1:1000
sd2 = mean((y-yPred).^2);
end
toc
tic
for i = 1:1000
r = y-yPred;
sd2 = r' * r / num... |
function gray = image_threshold ( gray, a )
%*****************************************************************************80
%
%% IMAGE_THRESHOLD resets gray pixels to black or white based on a threshold.
%
% Licensing:
%
% This code is distributed under the GNU LGPL license.
%
% Modified:
%
% 27 F... |
function submitWeb(partId)
if ~exist('partId', 'var') || isempty(partId)
partId = [];
end
submit(partId, 1);
end |
function [rho,Delta_t]=Godunov(geometry,rho_0,...
Demand_upstream,Supply_downstream,...
Delta_x,T)
number_section = length(geometry);
V_max = 0;
X = [];
L_section = NaN(1,number_section);
L_partial = 0;
% %--------------------- Optional ---------------------
% figure; hold on
for i = 1:number_section
V_... |
% ADVISOR data file: PTC_CONVAT.m
%
% Data source:
%
% Data confirmation:
%
% Notes:
% Defines all powertrain control parameters, including gearbox, clutch,
% and engine controls, for an advanced conventional vehicle using a 4-spd
% gearbox.
%
% Created on: 7-Oct-1998
% By: MRC, NREL, matthew_cuddy@nrel.gov
%
% Rev... |
x = [normrnd(2, 2.7, 100, 1); normrnd(20, 2.7, 100, 1); normrnd(2, 2.7, 100, 1); normrnd(10, 5.7, 100, 1)];
y = [normrnd(2, 2.7, 100, 1); normrnd(20, 2.7, 100, 1); normrnd(20, 2.7, 100, 1); normrnd(10, 5.7, 100, 1)];
dots = cat(2, x, y);
init_means = [5 5; 15 15; 5 15; 20 10];
dist = @(x1, y1, x2, y2) sqrt((x1 - x2).^2... |
function out = GetCenterPos(newTime, p1, p2, p3, stdEdge, angle)
% Get the Center Position with given p1,p2,p3, and return [time x y z].
[row col] = size(p1);
edges = [GetDistance(p1, p2) GetDistance(p1, p3) GetDistance(p2, p3)];
edges = sortrows(edges')';
stdLen = stdEdge(4);
centerPos = zeros(row, 4);
num = 0;
for... |
% Activity: MATLAB 2 Bonus, Task 1
% File: ML2_ACT_Task1_katherto.m
% Date: 22 November 2015
% By: Kathryn Atherton
% katherto
% Ryan Hellyer
% rhellyer
% Natalie Zimmermann
% zimmermn
%
% Section: 04
% Team: 59
%
% ELECTRONIC SIGNATURE
% Kathryn Atherton
% Ryan Hellyer
% Natalie Zimmermann
%
% The electronic signatur... |
function [h,v] = satellite(T,unit)
% SATELLITE calculates altitude and velocity of a satellite with period T
% Constants
G = 6.67*10^(-11);
M = 5.98*10^(24);
R = 6.371*10^(6);
grain = 100;
switch unit
case "day" || "dy" || "d"
T/(24*3600)
case
case
case
... |
function [A2 B2 E] = gradDes(A, B, Iv, In)
global H_SOBEL
H_SOBEL = fspecial('sobel');
global H_LAPLACIAN
H_LAPLACIAN = fspecial('laplacian', 0);
global GRAD_IN
GRAD_IN = gradient(In);
global GRAD_IV
GRAD_IV = gradient(Iv);
THRESHOLD_E = 1e-1;
THRESHOLD_L =1e-7;
for i = 1:100... |
clear all;
close all;
h = fspecial('gaussian',3,1.4);
%generate the gaussian filter with 1.4 sigma
rank = rank(h);
sum_en = sum(sum(h));
%note the rank of h and sum of all entires will be 1
[U,S,V] = svd(h);
%apply svd() function to devive for verticle and horizontle direction
h1 = U*sqrt(S);
h2 = sqrt(S)*V';
%use U... |
function [p] = Shape2P(obj,shape)
%Shape2P Summary of this function goes here
% Detailed explanation goes here
q = obj.Shape2Q(shape);
b = obj.Shape2B(obj.RemoveQ(q,shape));
p = [q;b];
end
|
function [cM] = ...
stats_metaFold(varargin)
%
% NAME
%
% function [cM] = stats_metaFold()
%
% ARGUMENTS
% INPUT
%
% OPTIONAL
%
% OUTPUTS
% cM cell cell array of stats data, organized
% per curvature type
%
% DESCRIPTION
%
% 'stats_metaFold' draws plots of the GWI and WMF indices for a set of
% subjects
%
% ... |
function [y]=sigmoid (x)
for i=1:length(x)
y(i)=1/(1+exp(-x(i)));
%figure(1)
%hold on
%plot(x(i),y(i));
% if y(i)>0.5
% y(i)=1;
% else y(i)=0;
% end
end
end
|
function varargout = GUIFeedback(varargin)
%GUIFEEDBACK MATLAB code file for GUIFeedback.fig
% GUIFEEDBACK, by itself, creates a new GUIFEEDBACK or raises the existing
% singleton*.
%
% H = GUIFEEDBACK returns the handle to a new GUIFEEDBACK or the handle to
% the existing si... |
clc;
close all;
clear all;
% Read Colour Image and convert it to a grey level Image
% Display the original Image
mycolourimage = imread('lena.jpg');
myimage = rgb2gray(mycolourimage);
subplot(1,2,1);
imshow(myimage); title('Original Image');
% Apply LOG edge detection
% The sigma used is 3
f=fspecial('lo... |
clc
clear
interval = 3;
x = 7;
name = 'data';
iter = interval*10/interval;
temp_sum = zeros(x,iter);
temp_average = [];
pot_sum = []; pot_average = []; pot_max = [];
data = []; data2 = [];
A = [1 2 3 4 5 6 7 8 9 10 1 2 3 4 5 6 7 8 9 10 1 2 3 4 5 6 7 8 9 10;
1 2 3 4 5 6 7 8 9 10 1 2 3 4 5 6 7 8 9 10 1... |
function [dbname,list_ICD9,interval_boundary,interval_label,table_prc]=ListDiseaseCode( ix )
%UNTITLED6 Summary of this function goes here
% Detailed explanation goes here
table_prc=0;
switch ix
case 1
dbname='aplastic_anemia';
list_ICD9=' code LIKE ''284.01'''% OR code LIKE ''284.8%'' OR code L... |
function [C_multi_trs, f_multi_trs, P, S_multi_trs] = deconv_multitrs(cs_frtrs, Nnan, YrA, C, f, P, options)
%%
Ntrs = length(cs_frtrs)-1;
method = options.deconv_method;
%% Set YrACL ie C2 + YrA
% C or C2
YrAC = YrA + C; % add C2 to residual. C2 corresponds to running demo_script with P=0 so no time constants are... |
% 05-2012
% Victor Barres
% USC Brain Project
% Script to create a slab from atlas
function data_atlasSlab(varargin)
if isempty(varargin)
simName = getSimName();
slabName = inputSlabName();
atlasName = getAtlasName();
ansArea = getAreaName(atlasName);
areaName = ansArea.areaName;
areaIndex = a... |
function [Y_extend] = InterpLancoz(Y, N)
a = 3; % [-a, a] 지점 관여
x = zeros(2*a,3); % 함수 값을 for문으로 입력하기 위한 배열 설정
len = length(Y); % 정의역 index 최대 값
Y_extend = zeros(1,len*N); % 확장된 Y함... |
function adjustment = ros_adjust(forecast, analysis, time, fuel_map, p, w)
% adjustment = ros_adjust(forecast, analysis, time)
% function returns a rate of spread adjustment factor
% inputs:
% forecast - tign for forecast
% analysis - tign for analysis
% time - time step for which comparison between f... |
function [X,B]=get_iwcoff(W,B)
Sinit = squeeze(W(1,1,:));
X2 = waverec(Sinit,B,'db4');
X = zeros([size(W,1) size(W,2) length(X2)]);
for k=1:size(W,1)
for h=1:size(W,2)
[A]= waverec(squeeze(real(W(k,h,:))),B,'db4');
[C]= waverec(squeeze(imag(W(k,h,:))),B,'db4');
X(k,h,:) =A + 1i... |
function [ Lewis_HNO3_exGas ] = Lewis_HNO3( t )
% Computes the Lewis number for nitric acid in exhaust gas
Lewis_HNO3_exGas = ...
thermalDiffusivity_air(t) / massDiffusivity_HNO3_air(t);
end |
%% lecture 11
%Goal: Obtain standard error of parameter estimates
%Calculation of standard error with secondary parameters.
%Linear models are those that have parameters are involved in linear
%fashion ... as long as the terms in the model are linear kind of
%parameters
%Non-linear regression for estimating... |
function setRules = getRules(rule, inputSize, outputSize, boolean)
if boolean
setRules = zeros( size(rule,2), inputSize + outputSize);
for i=1: size(rule,2)
for j=1:size(rule(i).antecedent, 2)
setRules(i, j) = rule(i).antecedent(j);
end
for j=1:size(rule(i).consequent, 2)
... |
clear all;
close all;
x = -2*pi:0.1:2*pi;
y = sin(x);
figure(1);
plot(x,y);
figure(121);
plot(y,x);
|
clc;clear all;close all
% Random generator. Hapus bila tidak memiliki preferensi
% load('PSO-1.mat')
% rng(S)
% S=rng; % Generate new random seed. Gunakan ini bila tidak memiliki PSO-1.mat
% Parameter model sintetik
a=20;
xobs=[5:5:45]'; % reciever linear
% xobs=[25];
A=1:50;
% Parameter pendekatan line... |
function u = function3(amp,freq,t)
u = amp*sin(freq*2*pi*t);
end |
function [measure] = con_MSMDA(data,rdm,target,ratio)
% MSMDA
% normalize target data
[Xl,Yl,Xu,Yu] = normN2_target(target,rdm,ratio);
Xl = Xl*diag(1./sqrt(sum(Xl.^2)));
Xu = Xu*diag(1./sqrt(sum(Xu.^2)));
% split training target data Xl into training data Xltr and validation data Xlva
nl = length(Yl);
nlt =... |
% paramsForShowTrajAnalysis2.m
% Parameters for function ShowTrajAnalysis2.m:
%% PARAMETERS
% PARAMETER r:
% Number of frames to average over when calculating a frame average in
% order to get a Signal Mask to distinguish cell region from background
% region. Note it has to be at most equal to the total no. of frame... |
function varargout = GUI(varargin)
% GUI MATLAB code for GUI.fig
% GUI, by itself, creates a new GUI or raises the existing
% singleton*.
%
% H = GUI returns the handle to a new GUI or the handle to
% the existing singleton*.
%
% GUI('CALLBACK',hObject,eventData,handles,...) calls the local
% ... |
wscalogram("image",tmp2,"xdata",ts);
title("Continuous Transform, absolute coefficients");
set(gca,"YDir","reverse")
ax = gca;
ax.YLim = [60 140];
colormap jet;
|
function R = getRSE2(g)
% returns rotation matrix
R = g.R;
end |
function [sssSSTO] = ssto(High,Low,Close,k,d)
% Function to calculate the fast Stochastic
[sSTO]= indicators([High,Low,Close],'ssto',k,d);
TT=length(High);
S=zeros(TT,1);
for i=1:TT;
if (sSTO(i,1)>80) S(i)=-1;
elseif(sSTO(i,1)<20) S(i)=1;
else S(i)=0;
end
sssSSTO=S;
end
end
|
function res = CkDot(v)
%CKDOT Summary of this function goes here
% Detailed explanation goes here
if size(v,1)==3 && size(v,2)==3
elseif size(v,1)==3 && size(v,2)==1
else
end
end
|
zadnjih6StevkVpisne = [1 5 1 1 3 6];
m = zadnjih6StevkVpisne(1:3);
m = 15 + 5 * sin(m);
k = zeros(1, 5);
for i=1:5
k(i) = max(1, zadnjih6StevkVpisne(i) + zadnjih6StevkVpisne(i+1))/(i+2);
end
M = diag(m);
K = [-k(1)-k(2), k(2), 0;
k(2), -k(2)-k(3)-k(4), k(3);
0, k(3), -k(3)-k(5)];
K = -K;
% re?ujemo Kx = ... |
%% plot gps data in game track
% minimize point outside track by offsetting track boundaries
clearvars -except offset
load('tracks\DTM_ZANDVOORT.mat')
load('Z:\JJ_Documents\MATLAB\Laptime simulation\session_zandvoort_laps36-52_20130627_0931_v1.mat', ...
'Xpositionm', 'Ypositionm', 'Lap')
ind = zeros(s... |
function p = Naivebayes( data, lambda)
p = zeros(4,70001);
len = length(data);
data = data(randperm(end));
count_y = 0;
for i = 1:len
x = data(i).line;
x_len = length(x);
x_new = zeros(70000,1);
y = x(1);
if y ==1
count_y = count_y+1;
end
if x_len >1
for j = 2... |
function uSol = oneStep(uSol, Nc, Nv, A, B, U, V, E, nVars)
%ONESTEP Compute solution at t_{n+1} from solution at previous time-steps.
% USOL = ONESTEP(USOL, NC, NV, A, B, U, V, E, NVARS) updates the solution USOL
% using the coefficients A, B, U, V, and E, and the nonlinear part of the
% operator in coeffici... |
function [percentage] = evaluate(path_to_testset, w, histogram, count_bins)
path_to_testset_cats = strcat(path_to_testset, 'cats/');
x_cats = getImgNames(path_to_testset_cats);
[n_cats m_cats] = size(x_cats);
path_to_testset_not_cats = strcat(path_to_testset, 'not_cats/');
x_not_cats = getImgNames(path_to_tes... |
function init(){
#nested for
for(int n = 0; n?<10; n++){
for(int i = 0; i ?< 3; i++){
n++
}
}
}
function render(){
Line l2 = (({0,0} + {0,5})*n)
draw(l2);
}
|
function dbBrowser(hdaRootDirectory)
% Browse database annotations and detection results.
%
% Complementary to vbbPlayer. Cannot display video efficiently (use
% vbbPlayer for this), but can display detection/evaluation results. Set
% internal parameters appropriately (such as results to display, etc.)
%
% Uses two fun... |
function quantization(filename, numLevels)
% QUANTIZATION quantizes the file's values to a set number of levels using
% uniform quantization
% filename : file to be quantized
% numLevels : number of levels
% ============ NUMBER 1 ============
% Read the speech file, and play at the normal frequency
[audioinput, Fs, B... |
function ShowBandChol(A,p)
% function ShowBandChol(A,p)
% Illustrates band cholesky of a positive definite A with bandwidth p.
% A call of the form ShowBandChol() will generate a random 6x6 example
% with bandwidth 2.
if nargin==0
p = 2;
G = triu(tril(randn(6,6)),-p);
A = G*G';
end
G = BandChol(... |
function [z] = eradode(a,b,ze,d,Ti,dt,s1,z1,r1)
% This function will take as inputs, the initial value of the 3 classes.
% It will then apply Eulers method to the problem and churn out a vector of
% solutions over a predetermined period of time (the other input).
% Function Inputs: s1, z1, r1 - initial value of eac... |
%NO TAN BUENO: ES SOLO UN EJP(EL DE TOMASI)
%CODIGO DE HAMMING
% Codigo Caracter: 100101111001
%Andres Felipe Rendon Rios cod.06991095
%Javier Mesa Durango cod.06991062
clear
%bit1=[0 0 0 0 1];
bit2=[0 0 0 1 0];
%bit3=[0 0 0 1 1];
%bit4=[0 0 1 0 0];
%bit5=[0 0 1 0 1];
bit6=[0 0 1 1 0];... |
X = randn(1,1000);
Yi = filt(X);
Y = filt(X(1:41));
Yi1 = zeros;
Yi2 = zeros;
Yi3 = zeros;
Yi4 = zeros;
subplot(2,2,1)
for i = 1:900
Yi1(i) = Yi(i + 1);
end
plot(Yi(1:900), Yi1,'.')
title('Y(i + 1) vs. Y(i)')
xlabel('Y(i)')
ylabel('Y(i + 1)')
subplot(2,2,2)
for i = 1:900
Yi2(i) = Yi(i + 2);
end
plot(Yi(1:900... |
function LL = logLikelihoodDBV(DBV)
% Calculate the log likelihood that a looked-up set of data has a value of
% deoxygenated blood volume DBV. For use within the FMINBND (or similar) script
% only. Will have to have a lot of hard-coded stuff that it looks up. Requires
% qASE_model.m
%
% MT Cherukara
% 2018-10-02
% de... |
clearvars -except ti
%% Initialize variables.
filename = '..\lists\ratings.list';
startRow = 282;
endRow = 664918;
%% New | Distribution | Votes | Rating | Title
formatSpec = '%6s%10s%10s%6s%s%[^\n\r]';
disp('Opening file');
%% Open the text file.
fileID = fopen(filename,'r');
textscan(fileID, '%[^\n\r]', startRow-1... |
% This script will write the program input and output to a text file called
% 'report_projectName.txt'
% -- INPUT
fname = strcat('report_',name,'.txt');
fid = fopen(fname,'w'); %create new file to write data to.
product = ver('matlab');
fprintf(fid,'Project Title: %s\n',name);
t = isunix;
if t == 1
fprintf(fid,'U... |
addpath data_gen
addpath submission-stubs
data_stdize
%A = [1, 2, 3, 4; 4, 5, 5, 4; 8, 8.2, -2, 3]
tic
stdize(X);
toc
|
function rate = getFIRA_binRate(trials, spikei, rate_begin, rate_end, rate_wrt, bins)
% Compute spike rate for each trial TRIALS for each bin in BINS.
% function rate = getFIRA_rateBined(trials, spikei, rate_begin, rate_end, rate_wrt, bins)%
%
% INPUTS:
% trials : selection array for trials
% spikei : s... |
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