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% calculate rate of C2H5O2 + NO2 -> C2H5O2NO2
% Updated 7/18/06 AEP
% Based on JPL Data Evaluation #15
% rate=kNO2C2H5O2(T,M)
function j=kNO2C2H5O2(T,M)
k10o=1.2e-29.*(T./300).^(-4.0).*M;
k10oo=9.0e-12.*(T./300).^(0);
k10=(k10o./(1+(k10o./k10oo))).*0.6.^((1+(log10(k10o./k10oo)).^2).^(-1.0));
j=k10; |
data = csvread('first_model.csv',1,1);
global solar_mean;
global solar2_mean;
global wind_mean;
wind = data(:,3);
solar = data(:,5);
solar2 = data(:,7);
no_of_days = size(data,1)/24;
no_of_decision_hours = 4;
solar_data = zeros(no_of_days,no_of_decision_hours);
wind_data = zeros(no_of_days,no_of_decision_hours);
... |
% exm13_zplane_freqz_second_order.m
% 例13，离散系统频响特性，2阶IIR系统
% 北京邮电大学，尹霄丽
% 2018年12月
r=0.9;
theta=pi/4;
% exm13_zplane_freqz_second_order.m
p1=r*exp(j*theta);
p2=conj(p1);
B=[1];
A=poly([p1 p2]);
figure(1);
zplane(B,A);
h=findobj(gcf,'type','line');
set(h,'linewidth',2);
figure(2)'
freqz(B,A);
h=findobj(gcf,'type','line'... |
%#codegen
function [ ] = Serial_write( ms )
coder.ceval('Serial.write',ms);
end
|
load('engine_data.mat');
datainput=engine_AFR;
[UCL,CL,LCL,SampAVG]=my_conplot(datainput,5);
|
%gui_post_process ADVISOR 2002
% This file calculates average efficiencies,
% energy balance, input-output powers, etc.
% Results of the calculations are displayed using results figure when
% clicking on the energy balance button
global vinf
drivetrain=vinf.drivetrain.name;
global fc_retard_kj tc_in_regen_kj tc... |
%[2015]-"Moth-flame optimization algorithm: A novel nature-inspired
%heuristic paradigm"
% (9/12/2020)
function MFO = jMothFlameOptimization(feat,label,opts)
% Parameters
lb = 0;
ub = 1;
thres = 0.5;
b = 1; % constant
if isfield(opts,'T'), max_Iter = opts.T; end
if isfield(opts,'N'), N =... |
function [av_inaction_service , av_inaction_client ] = average_inaction(lambda, mu, step, flag, schedule_value)
% функция находит среднее время простоя сервиса
% и время ожидания клиентов в очереди
count_inaction_service = 0;
count_inaction_client = 0;
av_inaction_service = 0;
av_inaction_cliet = 0;
for i... |
clear all;
close all;
clc;
% THIS SCRIPT IS FOR THROUGHPUT TEST OF STOPPING TRAINING AT
%DIFFERENT CODEBOOK LEVELS FOR VARYING NUMBER OF USERS
initialize_static;
%Simulation Parameters
Nusers = [1 2 4:4:16]; %Number of users in the network
T_cycles = [10 50 100]*1e-3; %Length of one complete time cycle in... |
% CHGWDECCFS 1 次元複数信号の分解係数の変更
%
% DEC = CHGWDECCFS(DEC,'ca',COEFS) は、レベル DEC.level における
% approximation 係数を行列 COEFS 内に含まれる係数と置き換えます。
% COEFS が単一の値 V の場合、係数のすべてが V に置き換えられます。
%
% DEC = CHGWDECCFS(DEC,'cd',COEFS,LEV) は、レベル LEV における
% detail 係数を行列 COEFS 内に含まれる係数と置き換えます。
% COEFS が単一の値 V の場合、LEV はレベルのベクトルで... |
close all
clearvars -except dataFolderPre dataFolder nodeIDGrimm dataFolderGrimm mintsDotMats nodeID deliverablesFolder dtSteps dt dmSteps startDate endDate grimmDotMats mintsDotMats
%% Main2 - Save Mints Data
% Collecting and Saving GRIMM Time Tables
saveMintsDates(dataFolder,mintsDotMats,nodeID,"GPSGPRMC",start... |
%This function can be used to reconstruct a signal using Overlap Add Synthesis
function recon = OLA(input,frameLen,hopLen,winName)
%input is expected to be a 2D matrix where each column of the matrix is an overlapped frameLen
%frameLen is the length of each overlapped frame as number of samples
%hopLen is amoun... |
function output= normalize(input)
im=single(input);
max_im=max(max(im));
min_im=min(min(im));
for i=1:1:size(im,2)
for j=1:1:size(im,1)
im(j,i)=((im(j,i)-min_im)/(max_im-min_im))*256;
end
end
output=im; |
function out = checkIntervals(intervals)
out = 1;
if ismatrix(intervals)
% Check if number of columns is two
[rows, cols] = size(intervals);
if cols == 2
% Check if bounds are correct
for i = 1:rows
if intervals(i, 1) > intervals(i,2)
... |
% ************************************************************
%
% point_poly.m
%
%
% Author:
% Date:
%
% ************************************************************
%
clear, clf
format short
#Loading in Polygons and Coordinates data
load Polygons.txt
load Coord.txt
#Storing ncol and nrow
[ncol,... |
function results = S3VM(x,y,label)
tt = cputime;
addpath('liblinear-1.51-objective');
addpath('liblinear-1.51-objective\matlab');
%% obtain the multiple low-density seperators
% obtain SVM's decision values as the baseline
de_values = SVM_descision_values(x,y);
% rounding predicted labels by the balance constraint
... |
function [ind_max1, ind_max2, max_val, ind_min1, ind_min2, min_val] = maxminPixel(image)
intensity_vals = imread(image);
intensity_vals = rgb2gray(intensity_vals);
max_val = max(max(intensity_vals));
max_val = max_val(1);
[ind_max1, ind_max2] = find(intensity_vals == max_val);
ind_max1 = ind_max1(1);
ind_max2 = ind_max... |
function trialseq = CGNG_sequence(settings,data,id)
trialseq = [];
col = length(fieldnames(id));
if data.baseline == 0
for it = 1:settings.general.blocks
% Get trial types
go_left = int64((settings.general.trials * settings.general.go) * settings.general.side);
go_right = int64((set... |
function prox_main(dataset, gridNum)
% dataset = 'MNIST';
% gridNum = 1;
% dataset : toy, covtype, rcv1, avazu, MNIST.
% dataset = 'covtype';
if strcmp(dataset, 'covtype')
passes = 20;
factorNR = 0.1;
factor = 0.1;
lambda2 = 1e-5;
lambda1 = 1e-4;
batchSize = 1;
elseif strcmp(dataset, 'rcv1')
... |
%
% Function: [ret] = ReorderMMFromFolder (ifolder, algorithm, field, precision, save_permutation_vector, do_not_show, do_not_print, get_stats)
%
% Reads a sparse matrix A from a Matrix Market (MM)-formatted file,
% applies Reverse Cuthill-McKee reordoering to it and writes it to
% an output MM file. It also... |
function data = setrep0(data, clm_idx)
% Set repeated data as 0.
%
% Prototype: data = setrep0(data, clm_idx)
% Inputs: data - data with repeated rows
% clm_idx - column for index
% Output: data - data with repeated rows set by 0
%
% See also norep, delrepeat, imurepair, imuresample.
% Copyright(c) 2009-2020,... |
function [ kmat ] = matker( mt, sigma)
%MATKER Summary of this function goes here
% Detailed explanation goes here
N = size(mt,1);
kmat=zeros(N);
for i=1:N
for j=1:N
kmat(i,j)=rbfker(mt(i,:),mt(j,:),sigma);
end
end
end |
classdef enumSWERegion < int8
%ENUMSWEREGION Summary of this class goes here
% Detailed explanation goes here
enumeration
Sponge (3) % sponge cell
Wet (4) % well cell (SWE)
Dry (5) % dry cell (SWE)
PartialWet (6)
... |
function y = d_tanh1(x)
y = (4*exp(2*x))./((1 + exp(2*x)).^2);
|
% Notes: run setup.m before this script
clear;
fid = fopen('l1_logistic.txt','w'); % we write all results into this txt file
datasets = {'colon-cancer','rcv1.binary','news20.binary'}; % test datasets
dataset = datasets{3}; % choose a dataset for test
% Input the data
datapath = strcat('./D... |
x = [1 2 3 4 5 6]';
t = (0:0.02:2*pi)';
a = [sin(t) sin(2*t) sin(3*t) sin(4*t) sin(5*t) sin(6*t)];
y = a*x+(-4+8*rand(length(a),1));
x_hat = intvar(6,1);
residuals = y-a*x_hat;
bound = sdpvar(length(residuals),1);
F = [-bound <= residuals <= bound];
optimize(F,sum(bound));
x_L1 = value(x_hat);
optimize([],residuals'*... |
%***********************************************
% COMPUTATIONAL ECONOMICS WS15/16
% Prof. Alexander Ludwig
%
% PROBLEM SET I
% Despoina Balouktsi - 5917774
% Maddalena Davoli - 5701809
% Jorge Quintana - 5702248
%
%*********************************************... |
function level_weight = sgmga_aniso_normalize ( option, dim_num, level_weight )
%*****************************************************************************80
%
%% SGMGA_ANISO_NORMALIZE normalizes the SGMGA anisotropic weight vector.
%
% Discussion:
%
% It is convenient for the user to initialize the anisotropic... |
BenzeneTolueneEthylbenzeneStyreneMethylstyrene;
C = [2;3;4];
cPr = cPr(:,C);
cG = cG(:,C,C);
cH = cH(:,C);
ch = ch(:,C);
alpha = alpha(C);
%alpha = [3.083969465648855 1.343511450381679 1]; %paper -> already very good
%alpha = [3.066252447253957 1.369532253533125 1.020242664518052]; %fit to curves
%alpha = [3.06808... |
% Assignment 1;Problem 4
% Maclaurin series for 1/(1-x),|x|<1
% f(x) = 1 + x + x^2 + ....
%% Setting up the problem
x = 0.75;
trueVal = 1/(1-x);
approxVal = 1;
atol = 0.001;
err = abs(trueVal-approxVal)
i=1
%% Performing Computation
while (atol < err)
approxVal = approxVal + x^i
err = abs(trueVal-approxVal... |
clc;clear all;close all;
% HologramHelperClass.supperposition(conj(E_sample))
%% Input image (virtual plane)
global lambda k AmpImage N M dW z;
N = 3;
dW = 20e-6; %Spacing between elements
z = 100e-6; % Distance of Image plane from the resonator plane
dW = 100e-6; %Spacing between elements
z = 1000e-6; % Distance of... |
function DayNightbargraphnew(allData,selectedGroups,analysistype)
b=[];
errdata=[];
groupavg=[];
grouperror=[];
for i=1:length(selectedGroups)
A=[];
AE=[];
for j=1:length(allData{selectedGroups(i)}{analysistype})
current = (allData{selectedGroups(i)}{analysistype}{j});
... |
function R = Euler2R(ax,ay,az)
% get rotation matrix from Euler angles
%
% R = Euler2R(ax,ay,az)
%
% By ZHENG Fan
% 2015-10-23
R(1,1) = cos(az)*cos(ay);
R(1,2) = cos(az)*sin(ay)*sin(ax)-sin(az)*cos(ax);
R(1,3) = cos(az)*sin(ay)*cos(ax)+sin(az)*sin(ax);
R(2,1) = sin(az)*cos(ay);
R(2,2) = sin(az)*sin(ay)*sin(ax)+cos(a... |
clear
clc
fprintf('Problem i');
% u1 = 0, u2 = 1
% x1(k+1) - x1(k) = 0 ==> x1(k)^3 - x1(k) = 0
% x2(k+1) - x2(k) = 0 ==> 2x1(k) + 2x2(k) - 1 = 0
% Solve for x1
x1_ = roots([1 0 -1 0])
% solve for x2
x2_ = zeros(size(x1_));
for i=1:length(x1_)
x2_(i) = (1 - 2*x1_(i))/2;
end
x1_
x2_
% Linearization
% A = 3x^2... |
function [S,I,R] = SIRPC1(So,Io,Ro,b,a,t,n)
%asigancion de datos iniciales
N=So+Io+Ro;
h=t/n;
S(1)=So/N;
%normalizacion de los valores
I(1)=Io/N;
R(1)=Ro/N;
tp=0:h:t;
for k=1:n
%calculo de la derivada en la posicion actual
fs=-b*S(k)*I(k);
fi=I(k)*(b*S(k)-a);
fr=a*I(k);
%predicc... |
%% Calculate temperature from AWS temperature, absorbed radiation, and distributed absorbed radiation
function [dist_temp] = distribute_temp(SWaws,SWabs,T)
Tc = T-273.15;
tf = 9.7721;
Tres_aws = Tc-(SWaws*tf);
dist_temp = (SWabs*tf) + Tres_aws + 273.15; |
% Homework 2 - Question 2
data = csvread('brca.csv');
lambda = generate_lambda(0, 0.1, 0.01);
Y = data(:, end);
size(Y)
X = data(:, 1:end-1);
%a)
disp("2a) 5-fold CV")
perform_cross_validation(X,Y,5, lambda, 1);
disp("Average MSE and Sparsity as a function of lambda")
snapnow
%b)
disp("")
disp("2b) 10-fold CV")
perfo... |
clear variables
path = 'C:\Users\60069978\Documents\MATLAB\medicion18\';
lut_1 = [path 'camara_1\LUT_curada_camara_1.txt'];
lut_2 = [path 'camara_2\LUT_curada_camara_2.txt'];
% tuerca de fundición
% r = 40.075/2;
% tuerca maquinada
r = 21.325/2;
set(0,'DefaultFigureVisible', 'on');
x_pedido = 205;
y... |
function [im,fov,tr] = nii2matrix(name)
% This function is a wrapper of read_nii_img, that can read an image from a
% file and automatically reshape/descale the data based on info from the
% header
[raw,h] = read_nii_img(name);
% Get dimensions:
tr = h.pixdim(5);
dim = h.dim(2:4);
fov = h.dim(... |
%% Create Spectrograms
% Need to load ERSP into workspace first!
%% 1) load regions
addpath(genpath('/nfs/erp-modaf/elec_files/'))
load wholehead_elecs.mat
%all PFC
all_PFC = cat(2, wholehead_elecs{1,2},wholehead_elecs{2,2}, wholehead_elecs{3,2});
%PFC left
left_PFC = wholehead_elecs{2,2};
%PFC mid
mid_PFC = w... |
%Define%
M_PI_180 = pi/180;
M_180_Pi = 180/pi;
%Physical constants%
Kuka_LBR_param.dblGravityAcc = 9.81;
%Link lengths
Kuka_LBR_param.dblLinkBaseLen = 0.1575;
Kuka_LBR_param.dblLink1Len = 0.2025;
Kuka_LBR_param.dblLink2Len = 0.2045;
Kuka_LBR_param.dblLink3Len = 0.2155;
Kuka_LBR_param.dblLink4Len = 0.2175;
Kuka_LBR... |
%% This script for personal analysis(merge emoi&scl and high&gamma data)
clc;clear;
File_path1 = 'D:\07-Script\DAP_3.0.2.1\';
File_path2 = 'D:\07-Script\All in One\';
emoiscl_Files = dir([File_path1,'*_for_visualization.xlsx']);
highgamma_Files= dir([File_path2,'*_gamma&high alpha.xlsx']);
if length(emoiscl_Files) ==... |
function yfit_pred = predictionlsf(time_int,coeff)
t = time_int(:);
a = coeff(1);
b = coeff(2);
c = coeff(3);
freq = 1/4500;
yfit_pred = (a*1)+(b*sin(2*pi*freq*t))+(c*cos(2*pi*freq*t)); |
% first direct search
% generate some random points
cn = 48;
max_runs = 10;
globalResults = zeros(3,max_runs);
% tic;
% for run=1:max_runs
%
% n = 20;
% points = (rand(cn,n) - 0.5) * 2 * 10;
% evals = zeros(1,n);
% results = zeros(cn+1,n);
%
% options = psoptimset ( 'CompletePoll', 'off', 'Di... |
function tf = getShouldEncodeMessage(obj)
% GETSHOULDENCODEMESSAGE Gets the flag to base-64 encoded messages
% A logical is returned.
% Copyright 2019 The MathWorks, Inc.
tf = obj.Handle.getShouldEncodeMessage();
end
|
function M = npend_alphas_DAE_M_1(I1,L1,d1,g,m1,omega1,theta1,in8)
%NPEND_ALPHAS_DAE_M_1
% M = NPEND_ALPHAS_DAE_M_1(I1,L1,D1,G,M1,OMEGA1,THETA1,IN8)
% This function was generated by the Symbolic Math Toolbox version 8.1.
% 04-Dec-2018 02:30:11
t2 = cos(theta1);
t3 = sin(theta1);
M = reshape([m1,0.0,0.0,1.0,0... |
%Exercise 3, Andrew Banman
%Compute the homology of RP2 from a triangulation.
stream = api.Plex4.createExplicitSimplexStream();
a = 0;
b = 1;
c = 2;
d = 3;
e = 4;
f = 5;
stream.addElement([a,b,d]);
stream.addElement([b,e,d]);
stream.addElement([b,c,e]);
stream.addElement([a,e,c]);
stream.addElement([d,e,f]);
stream.a... |
close all
clear all
clc
multiple = true;
answer = questdlg('Would you like to observe the impact of the number of models?','Yes','No');
if strcmp(answer,'No')
multiple = false;
end
if multiple
finished = 0;
tmp = 1;
while finished ~= 1
[file, path] = uigetfile('*.mrsbel');
load([path... |
clearvars; clc; clf;
fmin=10e3;
fmax=742.5e6;
N_perdec=5;
N=N_perdec*log10(fmax/fmin);
f=[10.^(log10(fmin)+(0:1:N)'/N_perdec);fmax];
%f=[1:0.5:10]'*1e6;
s=2*pi*f*1j; tz=1.656e-7; tp2=6.596e-10; G_HBR=3.421e14; G_RBR=1.673e14;
G0_HBR=G_HBR./s.^2.*(s*tz+1)./(s*tp2+1);
G0_RBR=G_RBR./s.^2.*(s*tz+1)./(s*tp2+1);
Hs_HBR=G0_H... |
% BRRIEF:
% Template for explicit invariant set computation. You MUST NOT change
% the output.
% INPUT:
% Q, R: State and input weighting matrix, dimension (3,3)
% OUTPUT:
% A_x, b_x: Describes polytopic X_LQR = {x| A_x * x <= b_x}
function [A_x, b_x] = compute_X_LQR(Q, R)
% get basic controller parameters... |
%Johnathan Fernandes
%SY Q-35, GR 1710168
%Control Systems Course Project
%Aim: DC motor speed control using PID controller
clc;
clear all;
close all;
L=0.2 %Motor inductance
R=1 %Motor Resistance
Il=0.005 %Moment of intertia
Kt=0.1 %Torque constant
Kb=0.1 %Back EMF
Kd = 0.324117712006743 %Derivative gain
Kp = 13.96... |
function child=mutRand(child,interval,mutProb)
if(mutProb>rand)
chromoSize = length(child); % Tamanho do cromossomo
mutPosition = round((1 + (chromoSize-1)*rand)); % A posição da mutação é definida aleatoriamente
mutation = interval(1) +(interval(2)-interval(1))*rand;
... |
% plot combined bezier curve
function combinedbezier (P)
hold on
[sx, sy, sz] = size(P);
for i = 1:sx
j = P(i, :, :);
a = squeeze(j)';
bezier(a, linspace(0,1, 10));
plot(a(1, :)', a(2, :)', 'ro')
end
hold off
end |
function deriv = compute_deriv_log_pE_wrt_PK_params_and_T10(PK_params, PK_parameterisation, T10, E, time_vec, flip_angle, TR, TE, Gd_dose, Noise_Prior)
if isfield(Noise_Prior, 'precision')
noise_precision = Noise_Prior.precision;
noise_var = 1/noise_precision;
else
error(sprintf('%s can only handle Gaussian no... |
function [centx,centy,points] = EstimateCentroid(cx,cy,wx,wy,img,bfm)
points.Count = 0;
i = 0;
I = imcrop(img,[cx-wx/2 cy-wy/2 wx wy]);
%I = imadjust(I,[0.1;0.6],[0;1]);
if ~exist('bfm','var') || (exist('bfm','var') && bfm ==0)
I = imgaussfilt(I,1);
I = imcomplement(I);
I = imadjust(I);
elseif exist('... |
%% Plot Wind Trajectory
close all;
plot3(PLOT_DATASET_HELIX.y.ref,PLOT_DATASET_HELIX.x.ref,PLOT_DATASET_HELIX.z.ref,'b','LineWidth',2); hold on;
plot3(PLOT_DATASET_HELIX.y.resp,PLOT_DATASET_HELIX.x.resp,PLOT_DATASET_HELIX.z.resp,'r','LineWidth',2); grid on;
xlabel('y (m)','Interpreter','LaTex','FontSize',18);
ylabel('... |
% ====================================================================================================================
% Copyright 2019 by Mohamed W. Mehrez & Wenrui Ye
% All rights reserved.
% =========================... |
% assigning a and b
a = [ 1 2 3 4 5 6 ];
b = [];
% indiviual for the first one
b(1) = a(1) + a(2);
% checking the the length of a in greater than 2
if length(a) > 2
% adding the before and after
for i = 2 : length(a) - 1
b(i) = a(i-1) + a(i) + a(i +1);
end
end
% adding the last one seperatly
b(l... |
function O = RobustCoPlot(I)
% Implements Robust CoPlot technique expanded on by "Robust Coplot
% Analysis", DOI:10.1080/03610918.2013.875571
%
% Explanation of input structure, I
% I.X : Input data to be analyzed by Robust CoPlot. Input data
% can be a text file, which contains a da... |
function writeAdjModeGraph(fid,NUM_MODES,transitionMap,selfAdj)
% diagBelowLeft = 0;
% diagBelowRight = 0;
% diagAboveLeft = 0;
% diagAboveRight = 0;
%TBD: fix it properlty for non-hybrid systems
if NUM_MODES == 1
fprintf(fid,'\nmode1: 1 mode1');
else
for mode1 = 1:NUM_MODES
adjModes = {};
ctr... |
clear; clc;
fid = fopen('input.txt');
result = 0;
vc = @(s) nnz(ismember(lower(s),'aeiou'));
while 1
tline = fgetl(fid);
if ~ischar(tline)
break
end
cond1 = false;
cond2 = false;
cond3 = true;
if vc(tline) >= 3
cond1 = true;
end
for i=2:length(tline)
if t... |
clear all; close all; clc;format compact;
% Calculate parameters of A4973
% Given
Itrip = 1.2; %A
% Wanted
Vref = 1; %0-1V
Rt = 30e3; %Ohm
Ct = 680e-9; %F +/- 5%
%% Current limiter
Rs = Vref/(2*Itrip) %Ohm
%% Driver disable time
Toff = Rt*Ct %s
|
clear all
close all
clc
% con script calor2D.m
% coordenadas de los nodos
% xnod=[x y]
xnod=[0 0;
5 0;
0 5;
5 5];
% matriz de conectividades icone
% icone=[i j k]
% filas=elementos
% columnas=numeracion de los nodos
icone=[1 2 3;
2 4 3];
% condiciones de conveccion
% c_... |
close all
stdnIQ = 8;
qcno_dB = 45;
qcno = 10^(qcno_dB/10);
T = 1e-3;
Aiq = stdnIQ*sqrt(2*T*qcno);
Np = 30000;
deltaPhiOporn = [-pi:pi/180*1:pi];
Nphi = length(deltaPhiOporn);
udPlus = zeros(1,Nphi);
udMinus = zeros(1,Nphi);
Pimore = zeros(1,Nphi);
Piless = zeros(1,Nphi);
for i = 1:Nphi
... |
integrated_positions = zeros(N,1);
% initial condition is taken from actual position
integrated_positions(1) = angPos(1);
temp_pos = angPos(1);
for i = 2:N
temp_pos = temp_pos + dt* gyro_angVel(i-1);
integrated_positions(i) = temp_pos;
end
figure;
% subplot(2,1,1)
plot(t,angPos);
hold on
% subplot(2,1,2)
plot... |
function [step,direc,enab] = stepper(t,pos, varargin)
opt.outfreq = 100000; % Hz
opt.stepsperrev = 4000;
opt.enablehi = false;
opt = parsevarargin(opt,varargin, 3);
stepsize = 360/opt.stepsperrev;
t2 = (t(1):1/opt.outfreq:t(end))';
pos2 = interp1(t,pos, t2);
step = false(size(t2));
direc = false(size(t2));
if op... |
function OCECgo_Validate_Calibration(h)
% This function validates the user-provided calibration data.
%% GET / VALIDATE DATA TABLE
% Get data
Cal.Table = get(findobj(h, 'tag', 'Cal_Table'), 'data');
% Remove all NaN rows
Cal.Table = Cal.Table(~any(isnan(Cal.Table), 2), :);
set(findobj(allchild(h), 'tag', 'Cal_Table'... |
tic;
ticBytes(gcp);
parfor kk=1:2
fname = sprintf('dataset/ten_100_10_%d.mat', kk);
t = getCurrentTask();
% fname
run(fname, t.ID, kk);
% If not using parfor, use some random value instead of t.ID
% run(fname, 999, kk);
end
tocBytes(gcp)
toc |
function [dout, stat]= robuststack(din,par)
%Robust stacking scheme is based on Pavlis and Vernon,
%Computers & Geosciences, 2010.
% din: seismic traces to stack. By default, each column contains one
% trace. The default stacking dimension is 2 (columns). This can be
% specified in "par", which is a struc... |
classdef I_Assembly
%I_Assembly Import Class
properties
name string
volume double
mass double
parts I_Part
solids I_Solid
CAM I_CAM
features I_Feature
joints I_Joint
end
methods
function obj = I_Assemb... |
function [h ha p pa]=rtpread_all(fname)
% function [h ha p pa]=rtpread_all(fname)
%
% *.rtp -> rtp/rtpZ/rtp_1/rtp_1Z
% *.rtpZ -> rtpZ/rtp_1Z
% *.rtp_1 -> rtp_1/rtp_1Z
% *.rtp_1Z -> rtp_1Z
%
% *.mat -> will read h,ha,p,pa or some variants
%
% Breno Imbiriba - 2010.08.25
[fnd fnb fne... |
function imwrite(Q, varargin)
% IMWRITE Write quaternion image array to graphics file.
% (Quaternion overloading of standard Matlab function.)
%
% This function takes the same parameters as the Matlab function IMWRITE,
% but the first must be a quaternion array, with elements of type uint8,
% uint16, or double. The ty... |
function [burstTimes, burstVector timeLine YmaxSmoothReshape threshold T S_orig] = detectBursts(X,Y,header, varargin)
%function [burstTimes, burstVector] = detectBursts(X,Y,header,varargin)
%
% X = timestamps from CSC file
% Y = Y data from CSC file
% header = header from CSC file (obtained by readCSCfile)
%
... |
% Raizes de equacoes do 2 grau
clear;
% entrada de parametros
a = 1
b = 2
c = 1
det = b^2 -4*a*c
if (det > 0)
disp('raizes reais e distintas') ;
r1 = (-b + sqrt(det)) / (2*a)
r2 = (-b - sqrt(det)) / (2*a)
end
if (det == 0)
disp('raizes reais e iguais') ;
r1 = -b/(2*a)
r2 = r1
end
if (det < 0)
... |
function retResetColorMap(params)
% retResetColorMap(params)
%
% 4/2010, JW: Broken off from doRetinotopyScan
%
% For some reason, the experiments '8 bars (slow)', '8 bars (LMS)', and '8
% bars (LMS) with blanks' have some special demands for setting the
% colormaps. This bit of code is for those three experiments only... |
function Y = dwtgroup(X,n)
% DWTGROUP Change ordering of elements in a matrix
%
% Y = DWTGROUP(X,n) Regroups the rows and columns of X, such that an
% n-level DWT image composed of separate subimages is regrouped into 2^n x
% 2^n blocks of coefs from the same spatial region (like the DCT).
%
% If n is nega... |
function v_list = import_v_list()
%% Refer to import_robot_params
% syms qx qy real
% syms qdx qdy real
% syms L I m q qd [3 1 ] real
% syms p pd n_bwd n_fwd [2 1] real
% syms Irot N real
%% List
v_list.q = {
'q1' 'q(1)';
'q2' 'q(2)';
};
v_list.qd = {
'qd1' 'qd(1)';
'qd2' 'qd(2)';
};
v_list.L... |
clc;
% close all;
haptic_experiment_with_filter;
DEGREE_TO_RADIAN = 0.0174532925;
N = length(filtered_angPos); % Number of samples
%UNDER_DAMPED
k_spring = 1.0; % N/cm
M_mass = 10.0; % g
b_damper = 0.001; % N*s/cm
% Discrete model from matlab with Ts = 0.001s
A_0_0 = 1.0;
A_0_1 = 0.001;
A_1_0 = -0.0001;
A_1_1 = 1.0;
... |
function [files] = jdir(folder, regexp)
%[files] = jdir(folder, regexp)
home = pwd;
cd(folder);
files = dir(regexp);
cd(home);
end |
%% Stelling 5
%
% In Matlab is een character vector geen verzameling van
% symbolen.
%
Antwoord = 0;
|
function varargout = generate_stim_poisson_harmaline(genes,tspan,ngen)
rand('state',100*sum(clock));
randn('state',100*sum(clock));
if nargin<3
ngen = 1;
end
if nargin<1
genes = 1;
end
if nargin<2
tspan = [0 2000 12000 14000 0.01];
end
if length(genes)==1
Ni = ge... |
% QA2
function ShowTestImage(n)
allTestImages = loadMNISTImages('./t10k-images.idx3-ubyte');
allTestLabels = loadMNISTLabels('./t10k-labels.idx1-ubyte');
figure;
image = allTestImages(:, n);
label = allTestLabels(n);
image2D = reshape(image, 28, 28);
label = ['Label: ', num2str( label)];
... |
%GPS_Preprocessor
%Select active data_matfile
if exist('data_matfile','var')~=1 || ~exist('OK','var')
error('Run GPS_DiagnosticProcessorDemo first \n')
end
nsamps=length(t_sec);
fprintf('\n dt=0.01, %5.2f-min segment length\n log2(nsamps)=%5.2f Jmin=%3i \n',nsecs/60,log2(nsamps),Jmin)
nfreqs=3;
... |
%% Signal - Reconstruction
%Step Function Definition
T=1;N=3;T1=generate_T1(3,1);t=linspace(-T1,T1,1000);
[x,y,s]=generate_vars(1,t);
subplot(3,1,1);plot(t,x);title('Cos(2\pi * x)');ylim([-1.5 1.5]);
%Dicontinued Cosine + Step Function
subplot(3,1,2);
plot(t,y,'r',t,s,'c');title('Previous + Step Functi... |
%% Ligne à retard
%% Expression du débit
u_A = 200;
delta_p_list = linspace(-20e3, 150e3, 1000);
p_M = 75e3;
u_dp = zeros(1000,1);
for i = 1:length(delta_p_list)
u_dp(i) = flow_from_deltap(u_A, delta_p_list(i), p_M);
end
figure;
plot(delta_p_list, u_dp );
%% Adimensionnement
p_list = linspace(-1.5, 1.5, 10... |
function in=makelen(in,size)
% function out=makelen(in,size)
% function changes the length of vector in to be the length size
% size must be a multiple (1/12,.125,.25,.5,1,2,3,4,5,6,7,8,9,10,11,12) of length(in)
oldsize=length(in);
param=oldsize/size;
prm=size/oldsize;
if ~(param-1)
return
elseif param>1
... |
function coords = getStimCoords(stimulus, Scale, rotation, correctionPx)
coords = [];
if nargin == 1
Scale = 1;
end
switch stimulus
case 'E'
%a capital 'E', standard size is width of 1 (unitless)
sq2 = sqrt(2);
xCoords = Scale .* [-0.5 0.5 -0.5 0.5 -0.5 0.5 -0.5 -0.5];
... |
function B = remove_desert(B, mask)
[~, ~, k] = size(B.MODISReflectance);
mask3D = repmat(mask, 1, 1, k);
B.MODISReflectance(mask3D==1) = NaN; |
%********************************************************************
%Damage Evolution function based on non-linear damage evolution model by
%Marko and Starkey
%Author: Shruti Motiwale
%Code Status - Results not verified
%Please update the code status and specify modifications
%***************************************... |
function dFs_toe_c1_20 = dFs_toe_c1_20(in1,in2,us,ud)
%DFS_TOE_C1_20
% DFS_TOE_C1_20 = DFS_TOE_C1_20(IN1,IN2,S_TOE,US,UD)
% This function was generated by the Symbolic Math Toolbox version 8.4.
% 24-Jun-2020 13:53:54
Fy_toe = in2(:,2);
dFs_toe_c1_20 = Fy_toe.*-2.0;
|
A = [pi 6; exp(1) 2]; b = [exp(2);8/pi]; P = [10^(-4); 1-10^(-4)]; ls = [.7 .4];
f_full = [P/ls(1); P/ls(2)];
cvx_solver mosek;
cvx_begin
variables Z(2*2,1) t(2*2,1)
maximize( f_full' * t )
subject to
A*Z(1:2) + b >= t(1:2);
P'*Z(1:2) == ls(1);
A*Z(3:4) + b... |
[x,y,z]=textread('Table_Plr.txt','%f %f %f','headerlines',1);
%zz=log10(z);
zz=zeros([size(z),1]);
for i=1:size(z)
yy(i)=y(i)/1000;
zz(i)=fitmy1(x(i),yy(i));
end
diffz=zz-z;
tanz=tan((z-0.5)*pi);
tanz1=tanz;
for i=1:size(tanz)
if(tanz(i)>10)
tanz1(i)=10;
elseif(tanz(i)<-10)
tanz1(i)=-1... |
clear all
load('PassiveLosses_2-3GHz.mat')
%Load files from ads
load('ThirdOrdIMD_h_sim_2_35.txt')
load('ThirdOrdIMD_h_sim_2_4.txt')
load('ThirdOrdIMD_h_sim_2_45.txt')
load('ThirdOrdIMD_l_sim_2_35.txt')
load('ThirdOrdIMD_l_sim_2_4.txt')
load('ThirdOrdIMD_l_sim_2_45.txt')
load('Pload_sim_2_35.txt')
load('Pload_sim_2_4.... |
function f=f4(x)
f=x.*x.*x.-3;
%f=sin(x);
end%function
|
[ex,ey,ez]=ellipsoid(-0.71723682172839798,-0.20814674547121634,0.95652471515699222,0.3,0.3,0.3);
surf(ex,ey,ez);
hold on
[ex,ey,ez]=ellipsoid(-2,0,0.95652471515699222,1,1,1);
surf(ex,ey,ez);
p_start = [-0.98708953342897176,0.16016945087929513,0]
plot3([0,-0.98708953342897176],[0,0.16016945087929513],[0,0])
plot3(0,... |
%% test ReCon approach
% this script compares the performance of original clustering algorithms
% with the performance of their ReCon versions. Parameters for each
% algorithm are tuned to the best. The results are the same as Table 6 of
% the original paper.
clear
load('s1'); % load a dataset
%% Original version
%%... |
function val = get(p2,prop_name)
% GET Get properties from the specified object
% and return the value
% "Copyright (c) 2000 and The Regents of the University of California. All rights reserved.
%
% Permission to use, copy, modify, and distribute this software and its documentation for any purpose, without f... |
function [outheader,outdata]=LW_fastwavelet_multiCF(header,data,freqVect,type,centFreq,stdev,mothersize,DownSamp,postprocess,baseline,baseline_start,baseline_end,output)
%parameters
nEpochs = header.datasize(1);
nChannels = header.datasize(2);
srate=1/header.xstep;
xsize=header.datasize(6);
xstep = header.xstep * ... |
clear all;
close all;
N = 1024;
s = linspace(1, 10, N);
X = (1/N)*ones(1,N); %%% initial pdf of X
%X = exp(-s);
%X = rand(1,N);
%X = X/sum(X);
A = -eye(N);
B = zeros(1,N);
Aeq = [];
beq = [];
lb = zeros(1,N);
ub = ones(1,N);
options = optimoptions('fmincon','MaxFunctionEvaluations',1000000, 'MaxIterations', 1... |
function NL = get_network_load(A)
if isempty(A)
NL = nan;
return
end
if ~islogical(A)
A = 1*logical(A);
end
N = size(A,1);
M = sum(sum(A))/2;
slots = (N^2 - N)/2;
NL = M/slots;
end
%function [network_load N_active active_nodes] = get_network_load(Wframes)
%
% N = size(Wframes,1);
% days = size(Wfra... |
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