text stringlengths 8 6.12M |
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function [A,V,Pos,t,sensores,G,Mag,tmag]=cadera(str)
%Todos los datos deben estar en la misma carpeta. Ir a "HOME"->"Set Path"->Elegir carpeta con los datos
%Los archivos de los datos deben estar en .csv
%prompt = '¿Nombre del Archivo? ';
%str = input(prompt,'s'); % convierte el nombre del archivo ingresado en ... |
clc, clear all,close all
t = 11:0.01:12;
dt = (t-11);
a = -1;
b = 0;
% y1 =(a*(dt).^3)
y1 =(a*(dt*.415).^3)-0.15
plot(dt,y1)
|
[x, y, sensitive, training, test] = dataImport.importAdultData();
folds = 1;
%x = [x sensitive]; % introduces disparate treatment (is redundant for Compass data)
classifier = classifiers.AdaptiveWeights(classifiers.SimpleLogisticClassifier(0.0001));
accs = 0;
pRules = 0;
DFPRs = 0;
DFNRs = 0;
%validationFunction = @... |
function [out1,analyticProblems,discont,ignore,maxderiv] = deriv(net,X,Xi,Ai,T,EW,MASK)
%DERIV Test network subfunction derivatives.
%
% [numericProblems,analyticProblems,discont,ignore,maxderiv] = deriv(seed)
% [numericProblems,analyticProblems,discont,ignore,maxderiv] = deriv(net,X,Xi,Ai,T,EW,MASK)
%
% This function ... |
% make a red/blue colormap with nrblevels number of different levels
% may be incompatible with some matlab versions,
% hence this function is deprecated and no longer
% called by any of the visualization functions
function rstring = make_rbcmap(nrblevels)
if nargin < 1
nrblevels=1024;
end
rbcmaple... |
function [PathStore_apres,PathStore_apres_sep]=traitement_arrete_high_density(Path_num,D,numrobot)
% disp('进行等待处理')
% croise=[];
%
% m_size=size(D,1);
% n_size=size(D,2);
%
% for x= 1:m_size
% for y=1:n_size
% % [x,y]=spread_sin(i,n_size);
% if x==1
% if D(x+1,y)==0
% cro... |
clc; clear;
% Ejemplo de Convolución en 1D
x = rand(500, 1); y = rand(150, 1);
y = [5 6 7 8 9 10 11];
m = length(x); n = length(y);
z1 = zeros(1, m + n - 1);
% Calculo de la convolución a mano
tic
for i = 1 : m + n - 1 % Recorre cada entrada de z
v_ini = max([1 (i + 1 - n)]);
v_fin = min(i, m);
for j = v_ini :... |
%% isss_multiband.m
% Script to run for pilot scans comparing ISSS, multiband, and the new
% hybrid scanning protocol. Ported from my previous ISSS_test script.
% Author - Matt Heard
%% Startup
sca; PsychPortAudio('Close'); clearvars; clc;
codeStart = GetSecs();
cd ..
direc = pwd;
InitializePsychSound
%% Parameters
... |
function La = f_vonBert_La(Lmax)
% - calculate La parameter for the von Bertalanffy growth function
%
% USAGE: La = f_vonBert_La(Lmax);
%
% Lmax = maximum observed total length (in millimeters)
% La = theoretical asymptotic length
%
% SEE ALSO: f_vonBert
% -----References:-----
% Pauly, 1980 (in Martinez-Andrade, 2... |
clear all; addpath('image');addpath('image/inst');
load('data.mat'); % load filter bank
load('dictionary.mat'); % load dictionary
%--------------------------------------
% YOUR CODE STARTS HERE
%--------------------------------------
%path for your selected image
img_path = 'myBasilica.jpg';
%read the image
I = im... |
function mpcN = create_multi_time_step_case_file(mpc0)
N = length(mpc0.load_profile(:,1));
nnodes = size(mpc0.bus,1);
% Nb
nbranches = size(mpc0.branch,1);
% Ng
ngens = size(mpc0.gen,1);
if not(min(mpc0.bus(:,1) == (1:nnodes)'))
error('buses not properly ... |
function pcode = compute_part(obj, assign, poolpos, locs, anchors, radius)
%COMPUTE_PART Summary of this function goes here
% Detailed explanation goes here
bottom = anchors - radius;
top = anchors + radius;
blk_count = size(anchors, 2);
encode_len = obj.encoder_.get_output_dim();
pcode = zeros(encode_len,... |
% Group analysis of tapping coherence PD-CKC . Takes individual coherence
% and gives group level average
% clear all
% close all
addpath /home/mikkel/PD_motor/global_scripts
[dirs, sub_info, lh_subs] = PD_proj_setup('tap');
addpath /home/mikkel/matlab/export_fig/
cd(dirs.megDir);
subs = dir(dirs.megDir); ... |
%% Old defining batteries
%% Defining battery as MLD system using a for-loop
x_b1 = zeros(1,dim.t+1);
x_b2 = zeros(1,dim.t+1);
z = zeros(1,dim.t);
u_b = [0.5 0 0.1 3 5 1 1 0 1 1];
s_b = [1 1 1 1 0 0 0 1 0 1];
for k = 1:dim.t
if u_b(k) <= parB.u_up*(1-s_b(k))
if u_b(k) >= eps + (parB.u_low-eps)*s... |
clc
clear all
%%
% loading parameters needed for running simscape simulation
load('parameters.mat')
%%
% motion planning for simscape simulation
%plynomianl 3 4 5
a = 6;
b = -15;
c = 10;
d = 0;
e = 0;
f = 0;
tf = 1;
Ts = 0.0001;
T = 0 : Ts: tf;
beta = atan(128/24);
% initial theta :
theta_i = [0 ; 0 ; 0 ; 0 ];
% fina... |
% used to connect to fserver and parse frames, assumes default output
% records and that the tracker is a Fastrak (any version)
function di_stream = fst_startTracking(host_str, port_num)
% use java Socket and DataInputStream classes
import java.net.Socket
import java.io.*
% connect to the sock... |
clear all
clc
clf
%% outline %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% plot the train result result
% bla bla
%% main %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% load data ---------------------------------------------------------------
% load Mat_cluster_pred_int.m... |
results_ENS=struct();
results_ENS_raw=struct();
for treat=1:3
for dpf=3:7
idx_temp=ZS_guts{treat,dpf-2,2};
for fish_nb=1:max(unique(idx_Fish(idx_temp)))
ZS_temp=ZS(idx_temp(idx_Fish(idx_temp)==fish_nb),:);
if ~isempty(ZS_temp)
Sm=smooth_ZS_fish{treat,dpf-2,fis... |
function [res,Fnet,Mnet,AR,ct1,ct2,ct3,ct4,cq1,cq2,cq3,cq4] = Solve(trmvar,V,Btm,Vver)
TO1 = trmvar(1);
TO2 = trmvar(2);
TO3 = trmvar(3);
TO4 = trmvar(4);
lambda1 = trmvar(5);
lambda2 = trmvar(6);
lambda3 = trmvar(7);
lambda4 = trmvar(8);
alphas = trmvar(9);
phis = trmvar(10);
sis =0;
p=0;q=0;r =0;
Tfp = 0;
Btmdo... |
function varargout = Controls_CollectData(varargin)
%CONTROLS_COLLECTDATA M-file for Controls_CollectData.fig
% CONTROLS_COLLECTDATA, by itself, creates a new CONTROLS_COLLECTDATA or raises the existing
% singleton*.
%
% H = CONTROLS_COLLECTDATA returns the handle to a new CONTROLS_COLLECTDATA or th... |
%------------------------------------------------------------------------------%
%%%%%% Training a Quantized Neural Network using Differential Evolution %%%%%%
%------------------------------------------------------------------------------%
%%% Author: Ranitha Mataraarachchi
%%% Date: 03.10.2019
%-------------... |
%function QUAD0 = scandispquad
% function QUAD0 = scandispquad
QUADFamily = 'QFC';
% Master Osillator Starting Point
QUAD00 = getsp(QUADFamily);
BPMStraightSection = [];
% Get Dispersion
%[Dx,Dy] = measdisp;
%Dx=Dx(BPMStraightSection);
i = 0;
for DeltaAmp=[0 .2 .4 .6 .8 1 1.2 1.4 1.6 1.8 2]
i = i + 1;
QUADne... |
function [datapatches] = ExtractPatchesByIndexGabor(bandnum, Index,patchsize,datasetname )
%UNTITLED4 Summary of this function goes here
% Detailed explanation goes here
padx = fix(patchsize(1)/2);
pady = fix(patchsize(2)/2);
offsetx = padx * 2;
offsety = pady * 2;
feaNum = numel(Index);
pdim = patchsize(1)... |
clc;
clear;
close all;
a=imread('cameraman.tif');
b=imadjust(a);
c=histeq(a);
d=adapthisteq(a);
i=[a b c d];
figure, imshow(i);
title('Orginal image and Enhanced Images using "imadjust", "histeq", "adapthisteq"');
|
function vector_script(p0,p1,c,alpha)
x0 = p0(1);
y0 = p0(2);
x1 = p1(1);
y1 = p1(2);
p = p1-p0;
hu = [x1-alpha*(p(1)+alpha*(p(2)+eps)); x1; x1-alpha*(p(1)-alpha*(p(2)+eps))];
hv = [y1-alpha*(p(2)-alpha*(p(1)+eps)); y1; y1-alpha*(p(2)+alpha*(p(1)+eps))];
plot([x0;x1],[y0;y1],c,... |
function collection=data_export(choices, export_path, raw_data_struct)
choices_size=size(choices);
height=choices_size(2);
%%Choose only relevant data
for i=1:height
data=raw_data_struct(choices(i)).data;
data.ts=posixtime(data.ts);
uuid=raw_data_struct(choices(i)).uuids;
collection(i).data = data;
... |
function [ solver, c ] = rule( class1, class2, pr, mod )
%RULE Summary of this function goes here
% Detailed explanation goes here
% clc;
% ws = load ('classes.mat');
% pr = 10; % 5 <; 7 <; 9 <;
% class1 = ws.class1(:, 1:pr);
% class2 = ws.class2(:, 1:pr);
% Amain(class1, class2, pr)
% mod = true;
class = [class1; cl... |
function [] = func(temp,i,j)
files = importdata('list.txt');
videos = importdata('index.txt');
str = sprintf('%s ',videos{i});
if j == 1
% disp('re');
str = sprintf('%s %s',str,'re');
end
if j == 2
% disp('pr');
str = sprintf('%s %s',str,'pr');
end
if j == 3
% disp('fm');
str = sprintf('%s ... |
function [ e ] = appProp( imin, g, w )
%APPPROP an implementation of "all-pairs appearance-space edit propagation"
% im, input image in Lab color space and m-by-n-by-3 dimension
% g, a vector user specified edits' parameters
% w, a vector holds user specified strength of g, range in [0,1]
% imout, output image,... |
function output_mask = slic_segment(svm_I, em_I)
em_I = rgb2gray(em_I);
em_I = imresize(em_I, 0.2);
svm_I = im2double(svm_I);
em_I = im2double(em_I);
segments = vl_slic(single(em_I), 20, 100);
output_mask = zeros(size(em_I));
for seg=0:max(segments(:))
segment = svm_I( segments==seg );
%if sum(segment)/numel(... |
Spain_Infected_All =[];
Spain_Recovered_All = [];
Spain_Dead_All = [];
str1 = "Spain"
str2 = "Spain"
str3 = "Spain"
for i = 7:1:9
fname = strcat ( '03-0', num2str(i), '-2020.csv' );
P = readtable(fname);
A = P.Country_Region;
Array = strings(1, length(A));
for j = 1:length(A)
Array(j) = A{j};
end
inde... |
%%skrypt uczacy modele neuronowe dla zadania 5
clear;
close all;
nB = 5;
tau = 6;
nA = 2;
n = 400;
tol = 0.00001;
algorytm_uczacy = 1;
tryb_uczenia = 2;
tryb_symulacji = 2;
K_wektor = 9;
ilosc_prob = 10;
dane_ucz = readmatrix('dane.txt');
u_ucz = dane_ucz(:, 1)';
y_ucz = dane_ucz(:, 2)';
dane_wer = readmatrix('dane_... |
function animacja0
%Matlab umożliwia bardzo łatwe tworzenie animacji wykresów.
%Każde polecenie plot generuje nowe okno.
% Zawartość tego okna można przy pomocy polecenie
% getframe zapisać np.: w tablicy.
% Utworzoną tablicę odtworzamy
% wykorzystując polecenie movie().
for k = 1:16
plot(fft(eye(k+16)))
axis equal
M(... |
classdef (Sealed) UTestLamg < amg.AmgFixture
%UTestLamg Unit test of the LAMG wrapper class.
% This class tests the runCycleAcf() function via the wrapper class
% Lamg.
%
% See also: runCycleAcf.
%=========================== PROPERTIES ==============================
properties (Co... |
function [x, itr] = newton_constrained(x, f, g, G, H, Dg, Hg, e, ~, ~)
%Constrained Newtion
itr = 0; %initialize iteration counter
eta = .1;
numV = length(x); % number or variables
numC = size(g(x),1); % number of constraints / dual variables
stopVal = inf; %stopping ... |
function bisQ=belongToImputationSetQ(v,x)
% BELONGTOIMPUTATIONSETQ checks if the payoff x belongs to the imputation set
% using MPT3.
%
% Usage: bisQ=belongToImputationSetQ(v,x)
%
%
% Define variables:
% output:
% bisQ -- Returns true (1) if x belongs to the imputation set,
% otherwise false (0).
%... |
function ArmDemo( maxepisodes )
global TxtEpisode goal f2 grafica
clc
statelist = BuildStateList(); % the list of states
actionlist = BuildActionList(); % the list of actions
nstates = size(statelist,1);
nactions = size(actionlist,1);
Q1 = BuildQTable( nstates,nactions ); % the QTable
Q2 ... |
function [p0,yfit] = fit_EIT_narrow(w,Z,p0_wide,CAL,P_guess,gamma_ub)
%returns fit parameters for wide EIT scan detuning data (reflection
%coefficient contains optics only)
w = w(:);
phi = smooth(360*unwrap(angle(Z(:)))/2/pi);
delta_guess = p0_wide(1);
omegam_guess = P_guess.omegam/1e9;
G_guess = P_guess.G... |
function SBJ08c_TT_TFR_save_mean_window(SBJ_id,proc_id,feat_id)
%% Save amplitude of condition-averaged TFR power in target time (TT) task
% COMPUTATIONS:
% Select trials for conditions of interest
% Load and average single-trial TFR within condition
% Average power within time-frequency window and across trials
... |
function [angle, variance, possibleAngles, variances,err] = AngleBetweenScars(scar1, scar2, segmentLength, ...
segmentNumber, useSPStable,...
scars, file)
if nargin < 6
... |
h = [zeros(1,100), ones(1,150) zeros(1,100)]; % h[n]
x = [1:100]/100; % x[n]
xa = [fliplr(x),zeros(1,250)]; % x[-n]
xb = [zeros(1,50),fliplr(x),zeros(1,200)]; % x[50-n]
xc = [zeros(1,100),fliplr(x),zeros(1,150)];% x[100-n]
xd = [zeros(1,150),fliplr(x),zeros(1,100)];% x[150-n]
xe = [zeros(1,200),fliplr(x),ze... |
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% Copyright 2010 - 2015 Moon Express, Inc.
% All Rights Reserved.
%
% PROPRIETARY DATA NOTICE:
% The data herein include Proprietary Data and are restricted under the
% Data Rights provisions of Lunar CATALYST Space Act Agreement
% No. SAAM ID#... |
clear all; clc;
PosData = [2 10;1 13; 5 13;4 15 ; 8 16; 7 19; 10 20; 9 22];
NegData = [6 12; 7 8;8 5; 8 11; 9 3;10 8; 11 6; 12 2];
TotData = [PosData; NegData];
%part one;
Means = mean(TotData);
disp('The mean for total')
Means
sigmaVec = sum((TotData - repmat(Means, length(TotData), 1)).^2)*(1/(length(TotData)- 1))... |
function px = Pej_BetaBinomial(x, xc, p, vScale)
vScale = exp(vScale);
if numel(p)==1
p = ones(size(x))*p;
end
if numel(vScale)==1
vScale = ones(size(x))*vScale;
end
a = vScale .* p;
b = a .* (1-p)./p;
px = exp(gammaln(x+xc + 1)-gammaln(x + 1)-gammaln(xc + 1)+...
betaln((a + x),(b + xc))-betaln(a,b));
end |
%
% Smooth point-set registration method using neighboring constraints
% -------------------------------------------------------------------
%
% Authors: Gerard Sanromà, René Alquézar and Francesc Serratosa
%
% Contact: gsanorma@gmail.com
% Date: 15/02/2012
%
% Nonrigid extension to non-rigidly register samples fro... |
function [h,th_lim,ph_lim,Modp] = h_in_p(cfile,con)
% USAGE: [h,th_lim,ph_lim,Modp] = h_in_p(cfile,con);
% reads in elevation for constituent con from file cfile
% th_lim,ph_lim - global grid limits
% h - global elevations
% Modp - structure of patched-in local models elevations
%
[conList]=rd_con(cfile);
[nc,dum]=siz... |
function [stat, raw] = cw_ecg_calc(dat, conds, sr, PHYS)
% function stat = cw_ecg_calc(dat, conds, sr, trig)
%
% This function calculates the initial IBI deceleration and subsequent IBI
% acceleration from some pre-stimulus baseline.
%
% dat is a (m x n) matrix with m trials and n timepts per trial
% conds is a... |
% This is material illustrating the methods from the book
% Financial Modelling - Theory, Implementation and Practice with Matlab
% source
% Wiley Finance Series
% ISBN 978-0-470-74489-5
%
% Date: 02.05.2012
%
% Authors: Joerg Kienitz
% Daniel Wetterau
%
% Please send comments, suggestions, bugs,... |
function plot_trajectories()
global user_particle_all h_trajectories
hold on
for i=1:length(user_particle_all)
h_trajectories{i} = user_particle_all(i).show();
end
end |
% This is the "heterogenous" input file. Area values are changed accor-
% ding to holistic-noc-design/tables/SmallVSOCArea. Application Digraph is
% changed to urand. (Doesn't make so much sense...)
% TODO: there is no urand yet.
n = 18;
ell = 2;
% Router Größen:
% - gegebene Werte [3150, 1800] gelten für 3D-Router.... |
function [k_m,sigma_min]=MFS_ITE_ellipse_anisotropic(m,init,semi_x,semi_y,Rrel_S,n,a_xx,a_yy,a_xy)
% ROUTINE: Computes approximate ITE for ellipse with modified MFS
% INPUT:
% m = number of boundary collocation points (or equivalently source points)
% init = initial guess for approximate ITE location
% se... |
clc;
clear;
close all;
% 加载模板库数据（X,Y）
load('X');
load('Y');
X=X';
Y=Y';
%% 待测试的分割字符 读取：
test_path = 'G:\微信\WeChat Files\DTi0113\Files\BigHead\results\test36';
figs = dir(test_path);%子文件夹
test_X=[];
for i=3:length(figs)
fig_path = fullfile( test_path,figs(i).name);
bw=imread(fig_path);
bw = imresize(bw,[1... |
k = 1.5; h = 50; Tinf = 25; Q = 0;
% Gauss Points and weights for four point gauss quadrature
% for triangular area integration
% -------------------------------------------------------
xi1 = 1/3; eta1 = 1/3; w1 = -27/48;
xi2 = 0.6; eta2 = 0.2; w2 = 25/48;
xi3 = 0.2; eta3 = 0.6; w3 = 25/48;
xi4 = 0.2; eta4 = 0... |
function [occupancy timings t_change] = gen_simulation_profiles(A,p,N)
% Generate occupancy profiles
% A is a vector with the extremes of the occupancies (e.g. [0 49])
% p is the number of changes
% N is the number of simulation samples
%
% example:
% gen_simulation_profiles([1 10],16,100)
% generates 16 switches in 1... |
function detectStruct = detection_artifact_power(data,varargin)
% Author Hyatt Moore IV
% created 4/19/2013
% this allows direct input of parameters from outside function calls, which
%can be particularly useful in the batch job mode
if(nargin>=2 && ~isempty(varargin{1}))
params = varargin{1};
else
pfile ... |
function outp = parse_tyre_params(txt_in)
f1 = fopen(txt_in, 'r');
s = fscanf(f1, '%c');
fclose(f1);
ll = strsplit(s, newline);
outp = struct();
for ii = 1:length(ll)
if contains(ll{ii}, '=')
tl = replace(ll{ii}, ' ', '');
tls = strsplit(tl, '=');
outp.(tls{1}) = str2double(tls{2});
e... |
%% GetAxisInfo
% manually select two axis(open axis and closed axis) and get the
% coordinates of each ends of the axis.
%% Show the Image
imshow('bkg.png');
hold on;
%% Prompt the coordinates
% Warning : always select left-most location
% Closed Axis
axis_c = zeros(2,2);
axis_c(1,:) = ginput(1);
scatter(axis_c(1,1),... |
% p1 = sequence(pipeline.DummyStep('1'), pipeline.DummyStep('2'), fork(pipeline.DummyStep('f1'), pipeline.DummyStep('f2')), pipeline.DummyStep('3'));
% P = pipeline.Pipeline(p1);
% P.execute('Dummy Sessions', D);
%
% p2 = sequence(pipeline.DummyStep('1'), fork(pipeline.DummyStep('f1'), pipeline.DummyStep('f2')), fork(... |
function class=k_nearest_calc(class_train_sort,k)
% pick k nearest classes and assisgn the one that is counted more
ref=unique(class_train_sort);
class_train=class_train_sort{1:k};
for i=1:length(ref)
count=find(class_train==ref{i});
vote(i)=length(count);
end
[vote,ind]=sort(vote, 'descend'); % s... |
ii=1
for i=200:300
load(['mcs_cluster_xy_var_' num2str(i) '.mat'],'vo','Nt','parm')
if max(max(vo.pva{end}{ceil(Nt(i)/2)}(:,:,parm.i3km)))>0.6e-6% halflife max pva
ii=ii+1;
else
disp(['no PVa i = ' num2str(i)])
end
end
|
function Penalty = get_Penalty(NElements)
%UNTITLED2 Summary of this function goes here
% Detailed explanation goes here
Penalty=zeros(sum(NElements(:,2)),1);
for i=[5 9 12 16 21 27]
Penalty(sum(NElements(1:i-1,2))+1:sum(NElements(1:i,2)))=ones;
end
for i=[35 36]
Penalty(sum(NElements(1:i-1,2))+1:sum(NElement... |
function phiFaceAverage = linearMean(phi)
% This function gets the value of the field variable phi defined
% over the MeshStructure and calculates the arithmetic average on
% the cell faces, for a uniform mesh.
%
% SYNOPSIS:
% phiFaceAverage = arithmeticMean(phi)
%
% PARAMETERS:
%
%
% RETURNS:
%
%
% EXAMPLE:
%
% SEE ... |
function [stim_cmd] = formatUstimCmd(stim_chan)
%function [stim_cmd] = formatUstimCmd(stim_chan)
%
%
% eye movement = 50 uA, 70ms, 350 Hz, 250 uS, negative first?
clock_cycle = 1/30 * 1000; % clock ticks in microseconds
delay_length = clock_cycle / 32; % length of a single unit of delay in microseconds
% b... |
% function[psfimg]= drawbar3(psfimg,titlename)
% psfimg=double(psfimg)/max(max(double(psfimg)));
% psfimg=double(psfimg);
% figure('name',titlename),psf=bar3(psfimg);
% colorbar
% for k=1:length(psf)
% zdata=psf(k).ZData;
% psf(k).CData=zdata;
% psf(k).FaceCol... |
load rxfil16_out_re_good.txt;
load rxfil16_out_re_bad.txt;
load rxfil16_out_re_good_v2.txt;
load rxfil16_out_re_good_v3.txt;
% figure(1);
% plot(rxfil16_out_re_good);
% hold on;
% plot(rxfil16_out_re_good_v2, 'r');
% hold on;
% plot(rxfil16_out_re_good_v3, 'k');
% hold on;
figure(1);
plot(rxfil16_out_re... |
load 'BGridCOutDataL100E2t1/BGridL100E2t1_PlotGrid.mat';
PlotGridL100 = PlotGrid;
load 'BGridCOutDataL400E2t1/BGridL400E2t1_PlotGrid.mat';
PlotGridL400 = PlotGrid;
load 'BGridCOutDataL800E2t1/BGridL800E2t1_PlotGrid.mat';
PlotGridL800 = PlotGrid;
load 'BGridCOutDataL1200E2t1/BGridL1200E2t1_PlotGrid.mat';
PlotGridL1200 =... |
function obj = get_objective_val(parm,model)
obj = 0;
for sample = 1 : parm.numSamples,
[ywhat, maxScore, partScore] = mvc_pf(parm,model,parm.patterns{sample},parm.labels{sample});
myloss = loss_pf(parm,parm.labels{sample},ywhat);
s = double(dot(model.w,mypsi_parts_pf(parm,parm.patterns{sample},parm.labels{samp... |
function [mImage] = updateCoordDescImageBM(mAdj, mImage, mMembership, fObjective)
%
% Updates mImage according to a coordinate descent update rule.
%
%
% @author: Jeffrey Chan, 2013
%
vX0 = fObjective.computeApprox(mAdj, mImage, mMembership);
% loop through coordinates
for r = 1 : size(mImage,1)
... |
%% This is an incomplete code that explains the flowchart on the screen
% 1- analyze this code and the output
% 2- Add comments to help yourself understand what the code is doing
% 3- Complete the code according to the flowchart on the screen.
% 4- Make any changes or edits that make sense to your code
clc
clear
clos... |
function [Env_sum, Tfs_sum] = EnvTFSV2(in, noiseCarrier, CF, fs)
out = hilbert(in);
Env = real(out);
Env_sum = Env.*noiseCarrier;
Tfs = cos(angle(out));
Tfs_sum = Tfs.*rms(in);
end |
function multi_run_stats=make_multi_run_stats(runstuff,params,protoc)
% how many simulations
num_sims=runstuff.num_sims;
% set random number seed
rng(runstuff.seed)
% intialize and make space
multi_run_stats.days_asymp_lax=zeros(num_sims,1);
multi_run_stats.days_asymp_strict=zeros(num_sims,1);
multi_run_stats.total_i... |
function CE_ipad(session)
% This funciton performs the colinearity experiment and collects subjects'
% data and store it in the result folder.
% Yanli Zhou
% 7/14/2016
%% Initiation
% 1. Clear Matlab window:
%
% 2. Check for OpenGL compatibility, abort otherwise:
AssertOpenGL;
% 3. Reseed the random-number generator ... |
clear all;
load('HCTSA_N.mat');
for i = 1:length(TimeSeries)
csvwrite(['./tsTxtFiles/ts_',num2str(i),'.txt'],TimeSeries(i).Data);
end |
function [ xr ] = iTIDFB_eig( Z1, DFBtype )
%ITIDFB_EIG Summary of this function goes here
% Detailed explanation goes here
L = length(Z1{1});
X = cell(1, 1);
for k = 1:4;
for l = 1:L
X{k}{l} = iDFB_eig( Z1{k}{L-l+1}, DFBtype);
end
end
xr = iTILP_sep(Z1{5}, X); |
// Swift Struct
// Define a Swift struct type.
//
// IDECodeSnippetCompletionPrefix: struct
// IDECodeSnippetCompletionScopes: [TopLevel,ClassImplementation]
// IDECodeSnippetIdentifier: 6AF2D458-8008-4880-BD9F-A8FF8097835A
// IDECodeSnippetLanguage: Xcode.SourceCodeLanguage.Swift
// IDECodeSnippetUserSnippet: 1
// IDE... |
function [cores, varargout] = tr_als_sampled(X, ranks, embedding_dims, varargin)
%tr_als_sampled Compute tensor ring decomposition via sampled ALS
%
%For loading from file: It is assumed that the tensor is stored in a
%variable Y in the mat file.
%
%cores = tr_als(X, ranks, embedding_dims) computes a tensor ring (TR)
... |
function nmse = nmse(A,B,C)
flag = isnan(A) | isnan(B);
A( flag ) = [];
B( flag ) = [];
if strcmp(C,'offset')
E = (B-A) - mean(mean(B-A));
else
E = B-A;
end
D = A - mean(mean(A));
nmse = sum(sum(E.^2)) / sum(sum(D.^2));
end
|
function y=getNaivepotentP2X4coop2back()
y=[1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0];
end |
function proclivityFeature = trendFeatureDetector( previousProclivity, currentProclivity )
%TRENDFEATUREDETECTOR
% for the next round, only the latest proclivity is required for tracking, ie. latestProclivity = currentProclivity;
%stateModes = {'plateau', 'ascent', 'descent'};
proclivityFeatureDetectModes = {'MAXI... |
% Given a moving belt, find the best feasible time and path
function [bfp, bft] = goal2belt_picker(sgp_index, sol, A, maxiter, alpha)
% sgp_index: starting goal point index, 2x1 vector
% sol: starting octo location,
% A: pre-computed time and path storage
% maxiter = max iterations of guesses
%
% bft = best feasible t... |
%This is the file used to implement erosion.
function res = IPdilate(image, structuringElement)
A = imread(image);
SEHat = flip(structuringElement,1)
SEHat = flip(SEHat,2)
[h w] = size(A);
padded = padarray(A, [1 1]);
temp = zeros(h+1,w+1);
for i = 2:h+1
for j = 2:w+1
TArea = padded(i-1:i+... |
%% Croke model to test whether filters can reproduce that
clc
clear all
close all
% load catchment(s)
% Barden_Lane BELLEVER BROAD_GREEN Whitebridge Cappenham TREGONY
stationname_vec = ["Barden_Lane","BELLEVER","BROAD_GREEN",...
"Whitebridge","Cappenham","TREGONY"];
stationname = 'Barden_Lane';
fil... |
function s = modelVentilation_in_loop_C(cnt_x,T_amb,save_interval)
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% modelHoneybeeVentilation.m
%
% description:
%
% written by: Jacob Peters
% model by: Jacob Peters and L. Mahadevan
% date written: May 11, 2015
% last modified: Decem... |
function [I] = edge_index_matrix(A)
%--------------------------------------------------------------------------
%
% Copyright (c) 2009-2011 Jeffrey Byrne
%
%--------------------------------------------------------------------------
%% Edge index matrix I(i,j) = edge index for e(i,j)
N = size(A,1);
[i,j] = find(tril(A,... |
% sig = 0.1 v 0.2 v 0.5 for a workspace of of 5
SIGS = [0.2 * 20/5, 0.1*4, 0.5*4];
MEANX = rand(1,3) .* 20;
MEANY = rand(1,3) .* 20;
F = zeros(101,101);
for points = 1:3
sig = SIGS(points);
meanx = MEANX(points);
meany = MEANY(points);
for x = 0:0.2:20;
for y = 0:0.2:20;
F(floor(x... |
function [ tau, sigma ] = inner_1(n)
%inner_01 この関数の概要をここに記述
% 詳細説明をここに記述
tau = randi(n);
sigma = 2*randi(n/2) - 1;
end
|
% Extended Dynamic Mode Decomposition and/or Naturally Structured DMD
% main script for Henon map
clear all; close all;clc
%% load dataset
tic
% Henon map(discrete time)
z0 =[1;0.1]; % Intial condition
N = size(z0,2); % number of initial conditions
data = z0;
a = 1.4;
b = 0.3;
f = @(z) [z(1)-z(1)^3+z(2);.... |
function [accuracy, loss] = ComputeAccuracyAndLoss(W, b, data, labels)
% [accuracy, loss] = ComputeAccuracyAndLoss(W, b, X, Y) computes the networks
% classification accuracy and cross entropy loss with respect to the data samples
% and ground truth labels provided in 'data' and labels'. The function should return
% th... |
clc
clear all
load('YaleB_c.mat','A','Y');
% load('Orl.mat'); %载入数据：A：原始数据矩阵，10304*400；Y：分类下标，400*1，一个人有十张脸部图片,图片的尺寸为 112*92
% [M,N] = size(A); % M*N 为矩阵A的维数
% A_new = A; % 给一部分（80%）照片加随机遮挡规格为 30*40
% for i=1:400
% if mod(i,10) < 3
% continue;
% end
% a = A(:,i);
% face = reshape(a,112,92);
% l... |
pkg load image;
addpath('../');
useful_functions;
FILE = csvread('Fr_and_Re.csv');
FrUO = FILE(5,2);
FrO = FILE(6:10,2);
ReUO = FILE(5,3);
ReO = FILE(6:10,3);
H = FILE(6:10,5);
Hun = FILE(6,5);
#
f1 = figure;
subplot(1,2,1);
plot(FrO, H, 'xk', 'markersize', 10, FrUO, Hun, '.b', 'markersize', 20);
xlabel('Froude num... |
triangular = fopen ('FuncTriang.txt','w');
Tiempo = 0:2.2676e-5:100*2.2676e-5;
for i = 1:101
if (i <= 50)
y(i) = (176.5*Tiempo(i))-0.1;
else
y(i) = ((-176.5*Tiempo(i))+0.1)+2*y(50);
end
fprintf(triangular,'%i\n',y(i));
end
fclose(triangular);
load FuncTriang.txt;
plot (Tiempo, FuncTriang,'x');... |
%% Generate a set of data points from a plane
%Copyright (c) 2011, The MathWorks, Inc.
clear all
clc
[CleanX, CleanY] = meshgrid(1:10);
CleanX = reshape(CleanX,100,1);
CleanY = reshape(CleanY,100,1);
CleanZ = 3*CleanX + 4*CleanY;
scatter3(CleanX, CleanY, CleanZ, 'filled')
hold on
foo = fit([CleanX, Cle... |
% Burger_Vector_Calculator_2D
% This script was made to make a plot of the performance of the program
% with the 2D data set to be used for analysis in the program's associated
% paper
%% Introduction
% Computes the Burgers vector for a specified Burgers circuit from elastic
% strain and lattice rotation data and ou... |
%
clear all
clc
%
%Declarations
x0= [4,0]; % y(0), y'(0)
h = 0.031250000000000; % h is found from Task 1
axis_index = 1;
fig_num = 1;
for i=0.1:0.1:3, %i is u
% run calculation with h
[t x]=calc_sRK4(x0,h,i); % q=i
td=t(3841:4801); % select interval t = [120,150]
yd=x(3841:4801,1); % select inter... |
function [para] = px_spm8_preprocess_smooth(fdp,para)
%FORMAT px_spm8_preprocess_smooth(fdp,para)
% Usage Call the spm8 for smoothing.
% Input
% fdp.scan - full path of the data files. Cell format for input,
% with one run in one brace. e.g., {{run1};{run2}}
% para
% para.fwhm - th... |
function [Yas,J]=J_LRPI(theta,xdata,var)
%--------------------------------------------------------------------------
% Prototype:
% [Yas,J]=J_LRPI(theta,xdata,var)
%
% Description:
% Evaluates the MPC Relevant Identification cost function
%
% Inputs:
% -theta: Matrix of parameters
% -xdata: Contains Y and ... |
%% Convert TWL time series from .mat to .csv
% Pre-computed TWL from on of the six of Alfredo's time series
% Not sure where this one is. Think these values were calculated by Ian
infile = 'D:\crs\proj\2023_NCB_recovery\NCB_TWL_R2_6.mat'
load(infile)
n = length(TT)
ofile = 'D:\crs\proj\2023_NCB_recovery\annual_max.cs... |
function HistogramsYG( Result_cell, save_figure )
%UNTITLED Summary of this function goes here
% Detailed explanation goes here
disp('HistogramsYG...');
tic;
if nargin == 0
Result_cell = CollectRYG();
end
if nargin <= 1
save_figure = 1; % default
end
if save_figure == 1
figure_visibility = 'off'; % 'on... |
function D = D_periodicFourthOrd(N,h)
% Expicit Derivate M atrix with improved wave numbers of Tam and Webb
% Periodic Version
% D = D_TW(N,h)
% N number of Points
% h = Delta x
alpha2= -1/12 ; %-1/(h)*0.18941; %*(2*pi)/h;
alpha3= 0 ; %1/(h)*0.02652; % *(2*pi)/h;
alpha1= 8/(12) ; %)-2*alpha2-3*alpha3 ;
... |
function handle = DPU_TrackerProc_config()
% global trackerProcObj;
cfgFileName = 'D:\matlab_workspace\people_count\ODS_6m_default.cfg';
radarCfg = readRadarCfg(cfgFileName);
%/* Convinience pointer to config params */
% pStaticCfg = pConfigIn.staticCfg;
% %/*! @brief ... |
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