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%@(#) sme_oe.m 1.2 04/09/01 12:09:35
%
function sme_oe(fid)
if nargin>0
fprintf(fid,'%c',246);
else
fprintf('%c',246);
end
|
function [weights] = getSegWeights(pos)
global seg
a = 10;
b = -10;
for i = 1 : size(seg,1)
p(i,1) = mean(mean(seg(i).p_map))*seg(i).a;
end
for i = 1 :size(seg,1)
seg_c(i,:) = [seg(i).c.x,seg(i).c.y];
end
pos = repmat(pos,size(seg,1),1);
dist = pos - seg_c;
dist = hypot(dist(:,1),dist(:,2));
dist = dist... |
function bb=adabooster_regul(proto, boost_steps, phi, lambda, param1, param2)
% bob=adabooster_regul(proto, boost_steps, phi, lambda, param1, param2)
%
% Constructor for adabooster_regul class
%
% BASECLASS(ES) : adabooster
% G. Raetsch 1.6.98
% Copyright (c) 1998 GMD Berlin - All rights reserved
% THIS IS UNPU... |
TRESHOLD = 1.5; % 1.5
AMOUNT_OF_TRIPLES = 100; % 400
ACCURACY = 10; % 5
REGION = 30; % 30
warning('off','all');
% warning;
im1 = imread('F029.jpg');
im2 = imread('F030.jpg');
table = siftTable(im1, im2, TRESHOLD);
show2ImagesWithSiftMatches(im1, im2, TRESHOLD);
table_iterate... |
function [] = VFs_callback(block)
% Callback processing function for mask parameter
% - number of VF-s used in the Validation Functions Set
set_param(block, 'LinkStatus', 'none');
load_system('Simulink'); % Load Simulink library (background)
load_system('MIL_Test');
No = str2double(get_param(block,'No')); % G... |
clc;clear;close all;
%% 数据集是“海伦约会数据集”，并且这个数据集已经把原始的类别标签转换成了数字1，2，3，方便处理
data = load('datingTestSet.txt');
DataSet = data(:, 1:3);
Label = data(:, 4);
Simple_num = length(data);
%% 数据归一化
maxV = max(DataSet); %返回矩阵每一列的最大最小值
minV = min(DataSet);
Z = maxV - minV; %归一化因子
newDataSet = (DataSet - repmat(mi... |
%%%%%%%%%%%%%%%% MEASURE INTENSITY %%%%%%%%%%%%%%%%
function [intensity] = measureIntensity(N, picture, shape, snake, inDirectory)
% makes the convolution kernel
intensitySize = 11; % the mask radius is intensity_size plus 1/2
ksize = 2*intensitySize+1;
convolveMask = zeros(ksize);
for x=1:ksize; % x-direction
... |
function []= geotech_mohrcirc (s3, s1)
close all
clear all
clc
s3= input('Minor principal stress sigma3 = ') % input sigma3
s1=input('Major principal stress sigma 1 =') % input sigma1
x=linspace(s3,s1,10000); % Divide the distance between s1 and s3 in 10000 parts
r=(s1-s3)/2; % finding radius of the circle
h=(s... |
% line L = point A join point B
function L=join(A, B)
L=[
A(1)*B(2)-A(2)*B(1);
A(1)*B(3)-A(3)*B(1);
A(1)*B(4)-A(4)*B(1);
A(2)*B(3)-A(3)*B(2);
A(2)*B(4)-A(4)*B(2);
A(3)*B(4)-A(4)*B(3)
];
end % function |
function [zavg,sqr_err,zmin,zmax,mlist_clean,mlist] = test_estimate2(Xe,Ye,Ze,Xr,Yr,Zr,dx,dy)
% Function to find the corresponding value in the experimental dataset that
% corresponds to the one in the real dataset. Work only in 2D, x,y and z of
% the real values are given and, based on x and y we find the correspondi... |
classdef DG4102 < handle
% class for Rigol DG4102 arb waveform generator
%
% WTJ , FM 20181031
properties
address
freq
Vpp
V_DC
ch
end
methods
function obj = DG4102(addr)
if nargin < 1
addr = 'USB0::0x1AB1::0x0641::DG4E191700672::0::INSTR';
end
... |
function plotSensorData(obj, h)
persistent figureAxis1;
persistent figureAxis2;
persistent figureAxis3;
persistent figureAxis4;
persistent figureAxis5;
persistent dataArray1;
persistent dataArray2;
persistent dataArray3;
persistent dataArray4;
persistent dataArray5;
figure(h);
% Red - Front sensor
% Blue - Left sen... |
%% a: Load audio and determine sampling rate
[y fs]=audioread('/Users/user/Desktop/sound.wav');
display(fs);
%% b: Plot signal in real time
N=size(y,1);
T=N/fs;
t=1/fs:1/fs:T;
subplot(3,1,1);
plot(t,y');
xlabel('t');
ylabel('Sound(t)');
title('Main Voice');
legend('Signal');
axis([0 T -0.5 0.5]);
%% c: Find Maximum a... |
function model = DipRefractSolve(fwd,rvs)
%***************************************************************************
% determine flat velocity model from refraction data
% fwd(n,2) slopes and intercept times of forward
% rvs(n,2) slopes and intercept times of reverse.
% model(n,3) thickness, vel.m an... |
clear all
format long
global P;
global TMAX;
global DT;
global res
P=[];
TMAX=[];
DT=[];
res=inf;
Tmax=85;
DTmax=10;
i=1;
startPoint=[2 5 10 18 30];
for i =1:length(startPoint)
x0=startPoint(i);
oldoptions = optimoptions(@fmincon,'DiffMinChange',0.002*x0,'DiffMaxChange',0.1*x0,'Display','iter-detailed',... |
%%in barnamei baraye BUTTERWORTH BAND REJECT ast,BARAYE
%EJRAYE BARNAME HAME BARNAME RA ENTEKHAB KARDE(Ctrl+A & Ctrl+C)VA DAR Command
%Window MATLAB PASTE KONID.
clc
clear all;
close all;
%tasvire vorudi
Img_in=imread('1.jpg');
FFT = fft2(double(Img_in));
FFT1=fftshift(FFT);
[M N]=size(FFT);
[X,Y] = meshgrid(1:N, 1:M... |
classdef DemandEstimate < Estimate
% Basic table and logit functionality
% Subclassed by NestedLogit and MixedLogit
% $Id: DemandEstimate.m 118 2015-05-26 10:34:48Z d3687-mb $
properties
nestlist
s
s0
ls
p
q
ms
... |
function [ x0 ] = initParams( traindata, n, type )
%UNTITLED6 Summary of this function goes here
% Detailed explanation goes here
if type == 1
m = length(traindata);
x0 = ones(n, 2);
total = ones(n ,2);
for i = 1:m
line = traindata(i, :);
u1 = line(1);
... |
L = input ('What is the length of the pendulum rod? '); %length of pendulum rod
t(1) = input ('What is the initial condition for t? '); %initial time
X(1) = input ('What is the initial displacement of the top? '); %initial displacment of the top
% Constants
p = 0.050; % mass of pendulum mass
m = 0.198; % mass of ... |
function postprocess
global fin
% Function "postprocess.m"
% Copies the plotting file "postplot.m" into the solution directories,
% runs it, and appends a figure to the file "outplots.ps".
III = [53:56]; % Cases to be postprocessed
% sol lim_type functional flux_type
var = {'sub', 'va... |
% NZ RLS
function [theta,P] = rls(x,y,theta,lambda,P)
P = P/lambda - (P * (x') * x * P)./(lambda + x * P * x')./lambda;
theta = theta + P*(x')*(y - x * theta);
end |
function [result] = is_point_on_segment(a, b, c)
result = false;
v = (b - a)' * (c - a);
if v < 0
return
end
if v > (b - a)' * (b - a);
return
end
result = true;
end |
% Clear the workspace and the screen
close all;
clearvars;
sca
% Here we call some default settings for setting up Psychtoolbox
PsychDefaultSetup(2);
% Get the screen numbers
screens = Screen('Screens');
% Select the external screen if it is present, else revert to the native
% screen
screenNumber = max(screens);
%... |
function [out] = set_to_flat(tc,thresh)
if ~exist('thresh','var')
thresh = 0.1;
end
out = tc;
% Find flat tcs, set to zero
flattc = var(tc)<thresh;
numflat = find(flattc);
out(:,flattc) = zeros(size(tc,1),size(numflat,2));
|
function [pr]=pressure(Pk,R_input,X_input)
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%%% Last changed : 25-5-2015
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%%% version : ... |
function output_image = handCleanup(image)
%HANDCLEANUP function used to clean up training images before contour
% tracking
%
% INPUT ARGUEMENTS:
% image - the image on which to perform the cleanup
%
% EXTENDED DESCRIPTION:
% This function performs cleanup on grayscale training images. The cleanup
% ... |
function [] = mustBeDocumentable( mFile )
%MUSTBEDOCUMENTABLE Issues an error if input path is not a valid script, function, or classdef .m file.
%
% [] = mustBeDocumentable( mFile )
%
% Throws an error if `mFile` does not meet the following requirements:
%
% - `mFile` is (or, is convertible to) a stri... |
clear;
% Maximale Anzahl an Datensätzen in einem Teilergebnisfile:
max_profiles_per_file = 50;
% Speicherort für die Simulationsergebnisse:
save_path = [pwd,filesep,'Simulationsergebnisse'];
sep = ' - '; %Seperator im Dateinamen
% File mit Windgeschwindigkeiten:
source_path = [pwd,filesep,'Wetterdaten',filesep,'Windg... |
G1 = graph ([3 3 3 3 1 2 4],[1 2 4 5 2 4 5]);
G2 = graph ([1 1 1 2 3 4 5],[2 3 4 4 4 5 6]);
G3 = graph([1 1 1 1],[2 2 2 2]);
G4 = graph ([3 3 3 3 1 2 4 6 6],[1 2 4 5 2 4 5 2 4]);
G = {G1, G2, G3, G4};
H = GetNodeConfig(G);
close all
figure;
for i = 1:length(G)
subplot(1,length(G)+1,i), plot(G{i});
title(strc... |
function [ p ] = newtonsMethod( dataRange,Tol,p0,N )
%data range should have a rnage of value in 1 index a slope in the second
%slope
i=0;
[r,c]=size(dataRange);
while(i<N)
p=p0-round(dataRange(p0,1)/dataRange(p0,2)*stepSize);
if(abs(p-p0)<Tol)
return;
end
... |
function [Y_predict] = knn_classifier(k, X_train, Y_train,...
X_test, weighting_policy_enum,...
kernel_width)
assert(0 <= weighting_policy_enum <= 4, 'invalid weighting policy');
m = size(X_test, ... |
function [ path ] = searchFood( food_map,food_loc,v_r,itr) %food_loc is wrt to segment origin
food_loc
input('check food_loc');
%Generate a gaussian filter with visual uncertainity
p_ff = Gaussian_filter(v_r,4);
%invert the gaussian, uncertainity at persent vertex = 0
p_ff = max(max(p_ff)) - p_ff;
%normali... |
function [dtree,er] = train_dtree(train_x,train_y,test_x,test_y)
dtree = classregtree(train_x,train_y,'method','classification');
labels = eval(dtree,test_x);
labels = str2double(labels);
er = sum(labels ~= test_y) / size(labels,1);
end
|
%% curve fitting-slope
c = fitresult.c; p = fitresult.p;
x = 0:0.01:35; y = c+p*(x-1);
plot(x, y, 'r', 'LineWidth',1);
legend('CFD results','Fitting curve');
xlabel('theta') %Donnot forget to change
ylabel('k_T')
grid on
%% point plot-ceiling
figure( 'Name', 'ceiling' ); %Donnot forget to change
plot(xData,yData,'-o... |
function show2DCalMarks(boundingBox,halfAndCenter,calPoints)
define2DArena(1,0,boundingBox,halfAndCenter,calPoints);
|
%@(#) opecall.m 1.3 05/12/08 13:40:12
%
function opecall
z=get(gcf,'userdata');
for j=4:7
if z(j)==1,z(j)=0;set(z(4+j),'value',0),end
v=get(z(4+j),'value');
if v==1,z(j)=1;end
set(z(4+j),'value',z(j))
end
set(gcf,'userdata',z);
|
% Fuzzy RBF Approaching
clc % 清屏
clear all; % 删除workplace变量
close all; % 关掉显示图形窗口
xite=0.20; % 学习因子
alfa=0.05; % 动量因子
b=5*ones(5,1);
c=[-5 -2 0 2 5;
-5 -2 0 2 5];
w=rands(25,1);
c_1=c;
c_2=c_1;
b_1=b;
b_2=b_1;
w_1=w;
w_2=w_1;
u_1=0.0;
y_1=0.0;
ts=0.001;
for k=1:1:1000
time(k)=k*ts;
u(k)=0.5*sin(6*pi*k*... |
function [r, c, beta, rake, skew, thickness, A] = generate_Tip(r, c, beta, rake, skew, thickness, A, dTip, rTip, cTip, tTip, skewTip, Nt)
incr = dTip/Nt;
Y = cell2mat(A(end));
Y = Y(:,2);
tend = abs(Y);
Ydd = cell2mat(A(end-1));
Ydd = Ydd(:,2);
tendd = abs(Ydd);
Yddd = cell2mat(A(end-2)... |
//
// MACPreviewCommand.m
// MultiAirCam
//
// Created by Martin Gratzer on 11.12.12.
// Copyright (c) 2012 Martin Gratzer. All rights reserved.
//
|
function EEG = EEG_ATTLAB_Import_Data(sourceDir,filename)
%{
EEG_ATTLAB_Import_Data
Author: Tom Bullock, UCSB Attention Lab
Date created: 09.28.20
Date updated: 09.28.20
Purpose: Import data from any of the following systems into EEGLAB
1) Biosemi ActiveTwo
2) Brain Products ActiCHamp
3) Brain Products BrainAmp MR
I... |
opts = get_opts();
addpath("src/missing_trajectories");
inputFilename = sprintf('%s/%s/result/result_%s.mat',opts.experiment_root, opts.experiment_name, opts.sequence_names{opts.sequence});
load(inputFilename);
[idNum, ~] = max(trajectories(:, 2));
identities = struct("trajectories", []);
missingTrajectories = [];
f... |
function h = CS4640_hemisphere(x,y)
% CS4640_hemisphere - hemisphere height function
% On input:
% x (float): x value
% y (float): y value
% On output:
% h (float): height of hemisphere at x,y
% Call:
% h = CS4640_hemisphere(2,3.1);
% Author:
% T. Henderson
% UU
% Spring 2018
%
... |
function recedingAngleOfpores = poreRecedingAngle (minporeRecedingAngle ,...
maxporeRecedingAngle , delta , etha)
%%
% Thsi function detremines pore receding angle by the use of distribution
% function called Weibull
%%
global n_p
x = rand(n_p,1);
recedingAngleOfpores = weibull(deg2rad(maxporeRecedingAn... |
%% construct the PCA and getting the scores
clear
load('D:\RCMIP\Pre_GSWP3_1901_2016.mat') %1901-2016
load('D:\RCMIP\Tas_GSWP3_1901_2016.mat') %1901-2016
temp1=mean(Pre_GSWP3(:,:,948+1:1392),3)*12;
Pre_mean_116=temp1';
load('D:\RCMIP\Mask_land_05') % land mask
Mask_land_05(Pre_mean_116<200)=nan; %Eliminate a... |
% M-File showing that the RA method of creating the A & B arrays
% gives the same results using the conventional method.
% File: c:\M_files\short_updates\Matlab_Files\RAconvention.m
% 02/16/07
% See Word file UsingGarray1.doc for background explanations.
clear;clc;
% unit suffixes
u=1e-6;K=1e3;m=1e-3;u=1e-6;p=... |
function Data_Smoothing = GetGaussianSmoothing(Data,Timewindow)
%% Smoothing processing
Data_Smoothing=zeros(1,size(Data,2));
gaussFilter = gausswin(Timewindow,2.5);
gaussFilter=gaussFilter';
gaussFilter = gaussFilter / sum(gaussFilter); % Normalize.
% % Data transformation for smoothing
if size(Data,2)==1 && ... |
img=imread('peppers.png');
imgS=single(img);
[imgH, imgW, nCh] = size(img);
if nCh==1
img=repmat(img,[1, 1, 3]);
end
net = load('imagenet-vgg-verydeep-19.mat');
net = vl_simplenn_tidy(net) ;
imgC = imresize(imgS, net.meta.normalization.imageSize(1:2));
imgC = imgC - net.meta.normalization.averageImage;
res = ... |
%% ReadMe.m
%% Modeling assumptions for PDSCH processing link
%
% Specifications based:
% FDD mode (vs. TDD mode)
% Multicodeword transmission for Spatial Mux, num=2 (vs. single codeword)
% same length blocks of data - per one user only.
% same Mod/rate per codeword - can be different to ge... |
function [Acc] = TH3_Q8_Accurate(k,distance)
%Tinh do chinh xac cua thuat toan
%knn (n=0...9
%Load Anh train
imgTrainAll = loadMNISTImages('./train-images.idx3-ubyte');
lblTrainAll = loadMNISTLabels('./train-labels.idx1-ubyte');
%Nap thuat toan
mdl =fitcknn(imgTrainAll', lblTrainAll, 'NumNei... |
%functie suma amplitudini
function m_s_f = func_vd_msf (y)
clear m_s_f;
[B,A] = butter(9,.33,'low');
y1 = filter(B,A,y);
m_s_f=sum(abs(y1));
|
y=@(x)4*cos(x).^3.*sin(x);
%yf=quad(y,0,pi/2);
yf=quad(@fun4,0,pi/2) |
function cmap = corrmap(N)
cmap = AdvancedColormap('vswor', N); |
function eps=evaluate_a2_coef_nu_axis(a1_coef,a2_coef,dPsih,Psih,psi_region1,sign_ksi0,area_region3,x_nu_cont13,r_nu_cont13,x_nu_cont13_initial,r_nu_cont13_initial,omega_cont13,pos_psi_rx,rx,scale_r,scale_omega,NR,Nomega,alpha,nu_values,psi3_nu,Psih_limit13)
% Deriving the expression of flux contours in the bean shape... |
%% Author: epokh
%% Website: www.epokh.org/drupy
%% This software is under GPL
%%This example show the use of DH matrix and differential operator
clf
clear
%%Another 6 DOF manipulator
%% with 5 revolute joints and 1 prismatic joint
theta1=-30;
theta2=-25;
theta3=-50;
theta4=-45;
theta5=-20;
theta6=... |
% DET.m - DET class
%
% Copyright (C) 2013 Integrated System Laboratory ETHZ (SharperEDGE Team)
%
% This program is free software: you can redistribute it and/or modify it
% under the terms of the GNU General Public License as published by the
% Free Software Foundation, either version 3 of the License, or (at your
% o... |
A = [7 1 -1 2; 1 8 0 -2; -1 0 4 -1; 2 -2 -1 6];
b = [3; -5; 4; -3];
x = [0; 0; 0; 0];
[k, x] = jacobi(A, b, x);
disp("Using Jacobi");
disp(k);
disp(x);
function [k, x] = jacobi(A, b, x)
kmax = 2000;
epsilon = 5e-5;
delta = 1e-15;
n = length(A);
for k=1:kmax
y = x;
for i... |
%% train landmark with softmax
clear all;clc;
addpath('../util');
%% caffe init
caffe.reset_all();
caffe.set_mode_gpu();
caffe.set_device(1);
model_fold = '../model';
pre_train_weight = fullfile(model_fold,'vgg-16', 'vgg16.caffemodel');
pre_train_mean = fullfile(model_fold,'vgg-16','mean_image.mat');
ft_model = fullfi... |
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% Group ID : 329
% Members : Alexandar Arambašic, Juraj Peršic, Konstantinos Voulgaris,
% Giannis Kapnisakis, Ricard Bordalba
% Date : 14/10/2015
% Lecture: 7 Multilayer perceptions
% Dependencies:
% Matlab version:
% Functionality: PCA 2 dimensional reduced data is class... |
#include <lib/std.mi>
System.onScriptLoaded (){
if(getPublicInt("ClassicPro.dontRemindOldWinamp", 0)==System.getDateDoy(System.getDate())) return;
if(stringToInteger(getToken(getParam(), ";", 0))<=System.getBuildNumber()) return;
int input = System.messageBox("For ClassicPro to work correctly, you'll need to up... |
function filt2d(I,a)
%读取原图像
if isstr(I)
img = imread(I);
end
[IH,IW] = size(img); %取出图像高度和宽度
[m,n] = size(a); %取滤波器维数，这里m，n相同
temp1=double(img);%将矩阵转为浮点型便于计算
temp2=temp1;
for i=1:IH-n+1
for j=1:IW-n+1
c=temp1(i:i+(n-1),j:j+(n-1)).*a; %进行相关运算，取出temp1中从(i,j)开始的n行n列元素与模板矩阵a相乘
s=sum(c(:)); %求模板c矩阵中... |
% 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 FunctionalLocalizer_main(hObject, ~)
if nargin == 0
FunctionalLocalizer_GUI;
fprintf('\n')
fprintf('Use %s to start the GUI.','FunctionalLocalizer_GUI.m');
fprintf('\n')
return
end
handles = guidata(hObject); % retrieve GUI data
clc
sca
% Initialize the main structur... |
a=0.21660849392;
plasma_vol=1;
interval=4;
rect_t=2;
A0=0; %in ug
absorb=1;
A=A0*absorb;
B=0;
amt_interval=0.5;
time=34;
step_size=0.001;
B_array=zeros(1,time/step_size);
A_array=zeros(1,time/step_size);
rt=0:step_size:time;
j=1;
bol=0;
k=1;
for i=0:step_size:time
A_array(1,j)=A;
A1=A;
j=j+1;
A=A1-((A1)*a*... |
clear
global PD car L o fai2 N
l = 0.1;
E1 = -120^0.88;
E2 = 2.25*360^0.88;
o = l*E2;
fai2 = -o/120^0.88+2.25;
PD = importdata('排污矩阵.txt');
load car
L = length(car);
%% 限定排污量，求最底不满意度
ans13 = zeros(10,2);
options = optimoptions('ga','PopulationSize',600,'MaxGenerations',100);
N = 10;
pn = 0;
while true
[x,y,~,~,p... |
function [ Vq, N ] = direct_smoothing( obj, X, Y, V, bandwidth, kernel_function )
if ~exist('kernel_function','var'); kernel_function = 'gaussian'; end
[ Vq, N ] = gaussian_smoothing( X, Y, obj.grid_width, kernel_function, ...
bandwidth, V, obj.xc, obj.yc );
Vq = Vq';
|
%%
%
% perlOneLineDescription(Returns quadratic relative permeability)
%
%%
function [krL, krG,krW] = quadraticRelPerm(sw)
krL = sw.*sw;
krW = krL;
krG = (1 - sw).^2;
end |
% CutFrames.m
%
% SCRIPT for imlook4d
% Jan Axelsson
% INITIALIZE
% imlook4d_current_handles is updated whenever SCRIPTS menu in imlook4d is
% selected
disp('SCRIPTS/CutFrames.m entered');
% Export to workspace
imlook4d('exportToWorkspace_Callback', imlook4d_current_handle,{},i... |
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%Step 1.5: 簇矩阵生成函数 clsGet(clsVector,clsNum,imgData)
%输入：簇的编号clsNum、聚类向量clsVector、图片数据库imgData
%输出：簇矩阵，每一行表示这一簇中的一张图片的信息，行数代表该簇的图片数量
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
function cls = clsGet(clsVector,clsNum,imgData)
indexVec = find(clsVector==clsNum);
N = length(indexVec);
cls ... |
function [numout] = GenFileNumber(numin)
%Returns 00xyz string
z=numel(num2str(numin));
switch(z)
case 3
numout = strcat("00",num2str(numin));
case 2
numout = strcat("000",num2str(numin));
case 1
numout = strcat("0000",num2str(numin));
otherwise
... |
% POSTER_Plot_CoOccur
% this takes in the output from the SfN rushcode script
% POSTER_CollectCorrSequences
% generates a multiplot of all sequences data. Choose whether you want
% matched or non matche dfield data plotted (data must exist already).
%
% aacarey Oct 2015
clear
% WHAT DO YOU WANT THIS SCRIPT TO DO?... |
function y = pi_theorique(signal, sigma)
alpha = 0.01:0.01:0.99;
sigma = sqrt(signal'*(sigma^-1)*signal);
Ba = normcdf(-norminv(alpha./2)+sigma)-normcdf(norminv(alpha./2)+sigma);
y = 1-Ba;
end |
function [data,b]=filterout_nans_and_infs(data,b)
dataT=data';
nan_rows=any(isnan(dataT));
data=data(~nan_rows,:);
b=b(~nan_rows);
dataT=data';
inf_rows=any(abs(dataT)==Inf);
data=data(~inf_rows,:);
b=b(~inf_rows);
end |
function [LF,in] = limit_faces(F,L,exclusive)
% LIMIT_FACES limit given faces F to those which contain (only) indices found
% in L.
%
% [LF] = limit_faces(F,L,exclusive);
% [LF,in] = limit_faces(F,L,exclusive);
%
% Inputs:
% F #F by 3 list of face indices
% L #L by 1 list of allowed indices
% ... |
function Vnew = embeddingRd_vecs(p,V)
%EMBEDDINGR6_VECS embeds V in TpM onto R6.
%
% p is a base point. V is tangent vectors.
% V is d-by-d-n. n is the number of matrices.
XwrI = grpaction_p2i(mu_x, Xwr);
Vnew = symmx2vec(XwrI)';
end
|
function [LL, LH, HL, HH] = haar_dwt2D(img)
[m, n] = size(img);
for i = 1:m
[L, H] = haar_dwt(img(i,:));
img(i,:) = [L, H];
end
for j = 1:n
[L, H] = haar_dwt(img(:,j));
img(:,j) = [L, H];
end
LL = mat2gray(img(1:m/2,1:n/2));
LH = mat2gray(img(1:m/2,n/2+1:n));
HL = mat2gray(img(m/2+1:n,1:n/2));
HH = mat2... |
function coco_category = GetCocoCategories()
keyset = [1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 13, 14, 15, 16, 17, 18, 19, 20,21, 22, 23, 24, 25, 27,28,...
31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, ...
60, 61, 62, 63, 64, 65, 67, 70, 72, 73, 74, ... |
%% Path Clean Up
%open script adds these
Simulink.fileGenControl('reset');
if exist('projectPath','var')
rmpath(strcat(projectPath,'\Scripts'));
rmpath(strcat(projectPath,'\Data'));
rmpath(strcat(projectPath,'\Models'));
else
fprintf('Project path does not exist.\n');
end
if exist('libraryPath','var')... |
function [B] = rotacionZ(A, theta)
rotZ = [cosd(theta) -sind(theta) 0 0;...
sind(theta) cosd(theta) 0 0;...
0 0 1 0;...
0 0 0 1];
B = A*rotZ;
end |
function udpHandle = udpOpen(udpIP,udpPort,connTimeout) %#ok<INUSD,STOUT>
%
% Opens persistent UDP socket.
%
% Inputs:
% IP Address string in the format XX.XX.XX.XX
% UDP Port integer port number to connect to
% Timout [optional] timeout delay in ms. Default value is 500 ms.
%
% Outputs... |
%%% SET PACKED BED INPUT VARIABLES %%%
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
Nhot = 1;
% Set up the classes
for ii = 1 : Nhot
pbH(ii) = packbed_class('hot') ;
end
%for ii = 1 : Ncld
% pbC(ii) = packbed_class('cold') ;
%end
% *** HOT PACKED BEDS *** %
for ii = 1 : Nhot
... |
function w_degree = weighted_degree(A)
w_degree = zeros(size(A,1),1);
for i = 1:size(A,1)
w_degree(i) = sum(A(i,:));
end |
close all
clc
%% Load Data
tic
fprintf('Importing Data \n');
if exist('ACWI','var') == 0
% load('201812 - NewEsgMsciDb.mat');
save ACWI
save Index
save FF
else
clearvars -except ACWI Index FF
end
NbFact = 3; % Select 3 (3FFF), 4 (3FFF+Mom) or 5 (5FFF)
if NbFact==3
NbFact=... |
function Q=GivensRotation(i, j, theta)
% Returns a rotation matrix along the axis that is not present(i>j).
k=3-mod(i+j, 3);
cosine=cos(theta);
sine=sign(i-j)*sin(theta);
Q=zeros(3,3);
Q(i,i)=cosine;
Q(j,j)=cosine;
Q(i,j)=sine;
Q(j,i)=-sine;
Q(k,k)=1;
end
|
classdef ContenciosoSimulator < handle
% ContenciosoSimulator: Armazena os modelos das arvores, os cluster,
% a carteira e input de configuração.
% Carrega todos os objetos citados acima.
% Inicia a simulação, gerando o .mat correspondente
properties
carteiraInicial
inpu... |
%% Used for simulation data
% V7 is meant for simulating spectra with typical uncertainties, and a
% phase and amplitude decay based on a frequency scan
%V7_1 fixes the time spacing issue
% close all
% clear all
% clc
uncertainty_upload %Current directory
T_Amp = 20;
% uncertainty_upload_laptop
%% Checking whi... |
function esc_analysis_rev7_parfor_rand_app(app,step_size,filename1,filename2,filename3,parallel_flag,write_report,tf_custom_ant,tf_load,industry_label,TerHandler,TerDirectory,workers)
top_start_clock=clock;
% % % 210 dB path loss threshold shall be used
% % % Radar EIRP (121 dBm/MHz) � ESC detection threshold (-89... |
function s = argPairs2Struct(s,pairs)
% Copyright 2012 The MathWorks, Inc.
numPairs = numel(pairs)/2;
if rem(numPairs,1) ~= 0
error('nnet:OddNumberOfNameValues','Odd number of name/value pair arguments.');
end
names = pairs(1:2:numel(pairs));
values = pairs(2:2:numel(pairs));
fields = fieldnames(s);
fields_lower ... |
function [posDis] = bmOverlapPosDist(mMembership1, mAdj1, mMembership2, mAdj2, sPosDist, varargin)
%
% Computes the positional distances between clustering/bm 1 and
% 2.
%
% sPosDist - Position distance to use.
%
% mMembership1
% mMembership2
% parse arguments
inParser = inputParser;
% add parameters and... |
function [z] = metminquadpond3(X, Y, vfb1,w)
%METMINQUAD3 calcula a função que melhor se ajusta a um dado conjunto de
%pontos. Recebe um vetor horizontal com x, um vetor horizontal com y, um
%cell array das funções de base em string e um lista de pesos w
f=vfb1;%cell array com strings das funções
numf = length(f); %nú... |
x0 = 0;
%tspan=[0,20];
tspan = [0:0.5:50];
%V = zeros(size(tspan));
%V(15:20) = [0.1:0.1:0.6];
%V(21:25) = [0.5:-0.1:0.1];
%V(45:50) = [0.1:0.1:0.6];
%V(51:55) = [0.5:-0.1:0.1];
%V = sin(tspan);
rand('seed',100);
V = rand(size(tspan));
[t,x]=ode45(@RLcircuit,tspan,x0);
figure(1);
plot(tspan,V,'.',tspan,x,'o')
title... |
function [] = cellTrack_ParseStacks_v3(paramsFilePath)
%%%%%%%%
% This code sorts raw image files from live imaging in a folder structure
% and needs to be run only ***ONCE*** as a preperation for analysis
%%%%%%%%
% Copyright MIT 2016
% Developed by Simon Gordonov
% Laboratory for Computational Biology & Biophysics
%... |
function setOrigin(obj,newOrigin)
obj.origin = newOrigin;
end |
% process sweep laser piezo scan filter
% WTJ
%%
% load('./filterScans/sweep_piezo_scan_filter_res_20190801T235444.mat')
load('./filterScans/sweep_piezo_scan_filter_res_20190802T113651.mat')
%%
figure;
hold all;
shft = 0.2;
vs_peaks = [];
h_peaks = [];
for ii = 1:length(res_all)
plot(vs_filter, ... |
load GOOG.mat;
interpolation = interp(GOOG,24);
up = upsample(GOOG,24);
down = downsample(GOOG,7);
reconstruction = interp(down,7);
figure('Name', 'Interpolation');
plot(interpolation);
figure('Name', 'Upsample');
plot(up);
figure('Name', 'Downsample');
plot(down);
figure('Name', 'Reconstruction vs GOOG');... |
function [output] = mf_green(data)
output = {'',0;'',0};
if data<25
output(1,1) = {'rendah'};
output(1,2) = {1};
output(2,1) = {'rendah'};
output(2,2) = {1};
elseif data>=25 & data<61
output(1,1) = {'rendah'};
output(1,2) = {(61-data)/(61-25)};
output(... |
clear all
clc
image = double( imread( 'data/images/lena_small.tif' ) );
[ height, width, dimension ] = size( image );
M = 8;
epsilon = 0.1;
D_previous = 1;
D_next = 11;
index = zeros( size( image ) );
error = zeros( size( image ) );
%index_lena_small = zeros( length(image(:))/4, 1 );
index_lena_small = zeros( size( ... |
% Options and parameters for the current CNN
opts.imdbPath = fullfile('F:\Bharti\Thesis\data\imdbVOC2012_segmentation_offsets_ssc256.mat');
opts.getBatchFunction = @CNN.getOffsetBatchMultiClass1;
%lr = logspace(-1, -4, 30) ;
lr1= ones(1,5)*0.001 ;
lr2= ones(1,25)*0.0001 ;
lr = [lr1,lr2,0.0001] ;
% Training options
%... |
clc
clear all
% mex CgetPolygonCoords.cpp
% mex CgetPolygonCoords_polar.cpp
% mex CdownSampling.cpp
% mex CreadCor.cpp
%% parameter setting
db=10000000; %set unit to anstrom
lambda=13.5e-6;
delta=0.008;
f=3;
NA=0.0875;
R=f*tan(asin(NA));
Nx=1000;
Ny=1000;
% dire=1;
AccuCtrl=0.005;
[polyPre,polyForm,polyPost]=poly... |
rng(1234) % was rng(1234)
% ground-truth parameters
om_true = 0.3;
ok_true = 0;
w0_true = -1;
wa_true = 0;
h0_true = 0.7;
logom_true = log(om_true); % -0.52
logh0_true = log(h0_true); % -0.357
bigtheta_true = [logom_true, ok_true, w0_true, wa_true, logh0_true]; % ground-truth parameters
parba... |
% function to rotate green tensor from NEZ to RTZ
function G2 = rot_nez2rtz(G,az)
% NEZ => z downward direct system
% RTZ => Z downward direct system
phi = az*pi/180;
a = size(G);
R = [cos(phi) sin(phi) 0 ; ...
-sin(phi) cos(phi) 0 ;...
0 0 1 ] ;
if a(1)>1 && a(2)>1
if min(a) == 3 && max(a) > 3
... |
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