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%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% _ _ _ %
% | | __ _ _ __ ___ | |__ _-(")- %
% | | / _` | '_ ` _ \| '_ \ `%%%%% %
% | |__| (_| | | | |_| | |_) | _ // \\ %
% |_____\__,_|_| |_| |_|_.__/_| |__ ___ %
% | | / _` | '_ \/ __| %
% ... |
%
%Generating the data file
%
function GenerateDataFromDag()
[bnet, UID, numberOfStudents] = currentDag();
a = size(bnet.observed);
numberOfItems = a(2);
%file name for the output
saveFile = ['UID', num2str(UID), 'Data', num2str(numberOfStudents), '.csv'];
saveFile2 = ['UID', num2str(UID), 'LatentData', num2str(numb... |
clear all
% Open Time video
[FileName1,PathName1] = uigetfile('*.mat','Select the time for the video');
% Open Time camera
[FileName2,PathName2] = uigetfile('*.mat','Select the time for the fluo');
% Open Data
[FileName3,PathName3] = uigetfile('*.nii','Select the Nifti file');
file=strcat(PathName3,FileName3)
B=... |
function Flag = around_object2(laser_sub, robot_pub)
angle_speed = 0.2;
wait_time = 6.5;
[x_lidar, y_lidar, scan_data] = get_lidar_data(laser_sub);
dist1 = scan_data.Ranges(1:35);
dist2 = scan_data.Ranges(325:360);
dist1(dist1 == 0)=[];
dist2(dist2 == 0)=[];
minDist1 = min(dist1);
... |
function [J, grad] = costFunctionReg(theta, X, y, lambda)
%COSTFUNCTIONREG Compute cost and gradient for logistic regression with regularization
% J = COSTFUNCTIONREG(theta, X, y, lambda) computes the cost of using
% theta as the parameter for regularized logistic regression and the
% gradient of the cost w.r.t. ... |
function [r] = qadd(p,q)
%UNTITLED4 Summary of this function goes here
% Detailed explanation goes here
r = p+q;
end
|
function pf = dprime(a, b, x, pcorr)
k=erfinv((pcorr-0.5)*2);
pf=erf(k*10..^((x-a)*b));
|
function [ ] = MeshGridImgPlot(im, Vertex_set, COLOR_V)
% Summary of this function goes here
% Detailed explanation goes here
% The Code (Version 1) is created by ZHANG Yabin,
% Nanyang Technological University, 2015-12-30
% which is based on the method described in the following paper
% [1] Wang, Yu-Shuen, e... |
%% Add the approprate folders to the path
%Path of the SOSpikingModel repository
%
%repopath = '/Users/dlevenstein/Project Repos/SOSpikingModel';
repopath = '/Users/jonathangornet/Documents/GitHub/SOSpikingModel';
%repopath = '/scratch/jmg1030/LogWeightSigma/SOSpikingModel';
addpath(genpath(repopath))
SAVESIM = true;... |
function [ imperf, imcont ] = getPerfTestnii( dirnm,ndynamics )
% change to subdirectory given by dirnm. Read images rperf_N and rcont_N, where
% N = 1:ndynamics, store in matrices and return
% NB DYNAMICS ARE AVERAGED HERE AND NOT IN CALLING ROUTINE AS EARLIER
% This is because knowledge of how many dynamics is he... |
%Fall data extract from .dat interpolate and save as .mat
sample_size = 2000
% pwd
%% Amplitude extraction
TX_ant = 1;
kitchen_files = dir('../../../fall_data/falldefi/fall_detection/kitchen2/*.dat')
mkdir(fullfile(pwd,'../../../interp/kitchen2/'))
for i = 1:length(kitchen_files)
file_name = kitche... |
%% CFD Boston University Course -------------------------------------------
% Step 2 of 12 to Navier Stokes Code: One Dimmensional Covection
%
% Governing Equation:
% \frac{\partial{u}}{\partial{t}} + u\frac{\partial u}{\partial x} = 0
%
% This code is the simplest nonlinear CFD problem, which is essentially the
% inv... |
ScreenNum = 0;
StimWin = Screen('OpenWindow', ScreenNum); % get pointer to stimulus window
[xsize ysize ] = Screen('WindowSize', StimWin);
ScreenRes = [xsize ysize ];
black = BlackIndex(StimWin);
white = WhiteIndex(StimWin);
Screen('FillRect', StimWin, black); % start with black
[vbl]=Scree... |
% Christopher Brant ENGR 1410-625 3/11/16
% Assignment A13
clear
clc
close all
figure('color', 'w')
%% Figure 1: Includes plot from #s 18-18, 18-19, 18-21
Data1 = [0.5 0.75 1 1.5 2 2.25 2.5 2.75; 0.004 0.04 0.13 0.65 3 8 18 22];
Diameter = Data1(1, :);
Power = Data1(2, :);
% Review 18-18
loglo... |
function y = mad(x,flag)
%MAD Mean/median absolute deviation.
% Y = MAD(X) returns the mean absolute deviation of the values in X. For
% vector input, Y is MEAN(ABS(X-MEAN(X)). For a matrix input, Y is a row
% vector containing the mean absolute deviation of each column of X. For
% N-D arrays, MAD oper... |
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% EE 569 Homework #1
% Date: Oct. 11, 2015
% Name: Faiyadh Shahid
% ID: 4054-4699-70
% Email: fshahid@usc.edu
%------------------------------------------------------------------------%
% Demo for Structured Edge Detector (please see readme.txt first).
clear a... |
function experiment = TivaroVstmStairSim
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%%%%%%%%%%%%%%%%%%%%%%%%%%% PARAMETERS %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%usefull for data analysis
experiment.identifier =... |
function [ output ] = plot_slice( w,g )
%output = plot_slice(tign)
% function plots a vertical slice(s) of the fire arrival time cone
% inputs :
% w - struct with tign_g, fxlat,fxlon
% g - sturct with detection data
% outputs:
% nothin so far
%%% create list of fires
fires = [];
fire_lats = [];
fire_lons =[];
fire... |
% snake = HebiLookup.newConnectedGroupFromName('*', 'SA002')
snakeType = 'SEA Snake';
numModules = 16;
snakeData = setupSnakeData( snakeType, numModules);
% snakeData.firmwareType = snake.getInfo.firmwareType;
|
function A = mesh_physarea(M, phys)
A = 0;
for ind_triangle = 1:M.num_triangles
tphys = M.trianglephys(ind_triangle);
if phys == tphys
A = A + M.elements{M.triangles(ind_triangle)}.area;
end
end |
function T = cell_T( A )
T = A(25:31,1);
end |
%functon to calculate the variable timestep
% c is a constant (1/2 for euler sym and 1/10 for leapfrog)
%^specified by the user
function dt = timestep(y, c)
% [x1, y1, x2, y2, x3, y3, vx1, vy1, vx2, vy2, vx3, vy3]
x1 = y(1);
y1 = y(2);
x2 = y(3);
y2 = y(4);
x3 = y(5);
y3 = y(6);
vx1 = y(7);
... |
tic
clear;
save_flag = 1;
%% parameter setting
Lp = 3;
D_MS = 6.4;4.7;10.1; %假设x、y维度相同
D_BS = 0; %假设x、y维度相同
ele_max_MS = pi;
azi_max_MS = pi;
ele_max_BS = pi;
azi_max_BS = pi;
N_MS = MY_number_of_antennas_FDLens(D_MS, ele_max_MS, azi_max_MS);
N_BS = 1;
N_RF_MS = 4;
N_RF_BS = 1;
N_MS_block = N_MS/N_RF_MS;
N_BS_block... |
classdef ProgressBar < handle
% Stripped down version for Neuropixel which does not support parallel mode
% Generates a progress bar which uses ANSI color codes to colorize output
% in a color terminal. The background color steadily advances along from
% left to right beneath a custom message and progress percentage s... |
%%PROGRAMA RELACION COSTO BENEFICIO%%
[num,txt,raw]=xlsread('DatosRCB');
I=input('INGRESE EL MONTO DE LA INVERSION:')
VAN_I=num(:,4);
VAN_E=num(:,5);
VAN_EI=VAN_E+I;
RCB=VAN_I/VAN_EI;
fprintf ('LA RELACION COSTO BENEFICIO ES: $ %f \n ', RCB );
%%PROGRAMA RELACION COSTO BENEFICIO%%
[num,txt,raw]=xlsread(... |
% spiral3drecon
%
% Luis Hernandez-Garcia @UM 2020
%
% 1- This script reads FIDs from the GE scanner acquired with a
% noncartesian 3d trajectory
% 2 - it reads the gradient and kspace trajectories and rotates them
% appropriately for each shot
% 3 - it re-grids the k-space data into a cartesian grid
% 4 - reconstructs... |
entirecellsize = zeros(1,max(cell2mat(cellfulllist(:,2))));
for j = 1:max(cell2mat(cellfulllist(:,2)));
boutonsize=0;
for i = 1:length(cellfulllist)
if(cellfulllist{i,2}==j)
entirecellsize(j) = cellfulllist{i,3}+ entirecellsize(j);
end;
end;
end;
entireboundarycellsize = zeros(1,max(cell2... |
k=1;
members=sort(properties(GRID));
timein=1:150;
t=timein./250;
tf=(0:75)/150*250;
txlim=[0 0.6];
fxlim=[0 125];
tmp=35;
train_sl=repmat(tmp,1,12);%12 train targets
channels=1:10;
%for j=1:100
spf=[];
cal='cr';
for j=1:numel(members)
S=GRID.(members{j}).copy;
tmp1=S.default.train_classifier('spatialfilte... |
function varargout = gui_ct(varargin)
% GUI_CT MATLAB code for gui_ct.fig
% GUI_CT, by itself, creates a new GUI_CT or raises the existing
% singleton*.
%
% H = GUI_CT returns the handle to a new GUI_CT or the handle to
% the existing singleton*.
%
% GUI_CT('CALLBACK',hObject,eventData,handles,... |
%{
Author: Connor T. O'Reilly
Collaborators: kevin yevak
Last Revision: 12/12/2019
%}
%% House Keeping
clc; clear all; close all;
%% Data
%obtained from ansys fluent at multiple AOA
cfd_data = readtable('CFD_Data_Real.csv');
%delete NAN values from empty rows
cfd_data = cfd_data(~any(ismissing(cfd_data),2)... |
function [cost,grad] = sparseAutoencoderCost(theta, visibleSize, hiddenSize, ...
lambda, sparsityParam, beta, data)
% visibleSize: the number of input units (probably 64)
% hiddenSize: the number of hidden units (probably 25)
% lambda: weight decay parameter
% sparsityParam: The desired average activation for the ... |
% Structure from Motion script
% Based on optical flow points from first part of assignment 4 for Computer
% Vision.
%
% INPUT:
% - pts: dataset containing all centered points that are tracked, shape
% [m, n], m = number of views, n = number of points per view.
%
% OUTPUT:
% - 3D Graph of the tracked ... |
function [coor, lat] = Read_MOPAC_Structure()
global ORG_STRUC
coor = callAWK('MOPAC_coor.awk', 'input.arc');
if ORG_STRUC.dimension == 0
lat = [30 0 0; 0 30 0; 0 0 30];
Xcm=(sum(coor(:,1)))/length(coor(:,1));
Ycm=(sum(coor(:,2)))/length(coor(:,2));
Zcm=(sum(coor(:,3)))/length(coor(:,3));
Dif= [15-Xcm 15... |
% Solve for impulse response and pdps of a single record
%%%Updated on 4/27/2017 by JDiener - Fixed the Frequency Energy Difference
%%%issue.
function [IQ_data, CIR_Discretescaling_Bandlimit, FreqResponse_allfreq, PathGain_avgfreq, PathGain_avgtime]= ...
analyzeRecord_vs5(recorded_data, Tx_b2b, t_rec, norm_atten,... |
function mat = helper2(mat)
%B=rgb2gray(imread('A.jpg'));
mat=imbinarize(mat);
mat=~mat;
mat = bwareaopen(mat,30);
A_yeni = regionprops(mat, 'BoundingBox');%detect edges
mat = imcrop(mat, A_yeni.BoundingBox); %crop image
mat = imresize(mat, [42 24]);
end
|
function [perstart,burstperstart,burstcyclenum] = est_cpg_phase(t,burstt,chanlocation, varargin)
opt.tol = 0.1;
opt.smoothwindow = 9;
opt.outlier = 1.5;
opt.relativeto = 'L1';
opt.basephaselag = 0.01;
opt.excludenear = [];
opt.excludenum = 0;
opt = parsevarargin(opt,varargin,4);
nchan = size(burstt,2);
side = regex... |
% Tarif Riyad Rahman
% MATLAB syntax used
% This is the test bed for the function sumDigit
% sample cases are used for testing the correctness of the function
function e=test_sumDigit()
e=0;
e=e+runtest(32,5);
e=e+runtest(53,8);
e=e+runtest(953,17);
e=e+runtest(103,4);
e=e+runtest(4944,21);
e=e+runtest(256,13);
... |
function s = flip_stats(nflip, nexp) %функция, моделирующая M экспериментов по N подбрасываний монеты
s = zeros(nflip + 1, 1); %создаем массив нулей размером nflip+1х1
for i = 1:nexp
matrix = coin_flip(nflip); %создаем логический вектор из nflip элементов (1 - орел и 0 - решка)
buff = sum_heads(matrix)... |
function [posCand,map_delta,halfRange]=getBasicSettings(x,theConf,deform_delta,layerID)
deform_delta=deform_delta(:);
[xh,xw,~]=size(x);
posCandNum=min([theConf.learn_position_cand_num,xh,xw]);
map_delta=theConf.learn_map_delta*xh;
halfRange=round(min(theConf.learn_search_max_range(layerID)*xh/2,deform_delta.*theConf.l... |
function [scaledata]=nresample(data,origHz,newHz)
scaledata=resample(data,origHz,newHz);
s2=sigresample(data,newHz,origHz,40);
scaledata(1:round(.98.*length(scaledata)))=s2(1:round(.98.*length(scaledata)));
|
%obligatorio 2
%metodo de euler
function [S, I, R] = SIREuler(So,Io,Ro,b,a,t,n)
%OBS: las unidades del tiempo "t" dependen de las unidades de las tasas de contaguio "a" y "b"
N=So+Io+Ro;
h=t/n;
S(1)=So/N;
I(1)=Io/N;
R(1)=Ro/N;
for i=1:n
S(i+1)=S(i)-b*S(i)*I(i)*h;
I(i+1)=I(i)+I(i)*(b*S(i)-a)*h;
R(i+1)... |
function pks = findpeaks2D(x,z)
% example:
% export spectroscopy data to workspace with DataViewer
% pks = toolbox.data_tool.findpeaks2D(y,z);
% pks is 3 by length(x) matrix
% the first row are the most prominent peaks, which migh
% be false peaks at some points, in such case, you also have
% the second and the third r... |
classdef RecurrentInterface < handle
methods
function extract(obj, package)
if not(exist('package', 'var'))
package = obj.pkgap.poll();
end
frames = obj.pkgap.unpack(package);
% fill up cache of frames
obj.frmap.reset();
... |
function score = cluster_analysis_gblmnn(output, label)
%gblm
%for i=[1:4]
%for j=[1:2]
%for k=[1:2]
%for l=[1:2]
%for m=[1:1]
%for i=[1:1]
%for j=[1:1]
%for k=[1:1]
%for l=[1:1]
%for m=[1:1]
%score(i,j,k,l,m) = cluster... |
% Step 2
% Example link: https://www.mathworks.com/help/signal/ug/dct-for-speech-signal-compression.html
clear dct;
load('strong.mat');
% her audio
x = her'; % get the inverse matrix of her
X = dct(x); % get the DCT
[XX,ind] = sort(abs(X), 'descend');
need = 1;
while norm(X(ind(1:need)))/norm(X)<0.999
need = ne... |
%% Read Bruker File
clear all
close all
addpath('/home/valery/Dev/BruKitchen/matlab/');
[status,id]= system('whoami');
str_user= id(1:end-1);
check_if_iam_using_the_ihuserver(str_user);
[ str_network_imagerie, str_network_perso ] = get_network_name( str_user );
%% TODO voici la liste des problemes
% completer le... |
function out = I2(alpha,beta)
for n3=1:size(alpha,3)
for n2=1:size(alpha,2)
for n1 = 1:size(alpha,1)
out(n1,n2,n3) = quad(@xJo,0,1,[],[],alpha(n1,n2,n3),beta(n1,n2,n3));
end
end
end |
function [ c ] = curvature( u , epsilon)
% Calcul de la courbure en tout point de notre image
% epsilon : param?tre de stabilisation du calcul dans les zones homogenes
% (division par zero rendrait l'algo instable)
[gradx, grady] = gradient(u);
% Courbure
qx = gradx./(sqrt(gradx.^2+grady.^2+epsilon^2));
qy = grady./(... |
clc
clear
img_race = imread('race.tif');
figure(1)
hist(img_race(:),0:255);
img_kids = imread('kids.tif');
figure(2)
hist(img_kids(:),0:255);
hist_before = hist(img_kids(:),0:255);
y = equalize(img_kids);
figure(3)
imshow(y)
figure(4)
hist(y(:),0:255);
sum_h = sum(hist_before);
F_hist_before = zeros(256);
for i ... |
function [ b, bint, r, p, yUnwrap] = circularSlope90d( Y,X )
%circularSlope90d calculate slopes and correlation coefficent (for FA)
%[ b, bint, r, p, yUnwrap] = circularSlope90d( Y,X )
%
% This code fits a line to circular data. It does this by first doing a
% nonlinear least squares fit using a cost function that res... |
function [ f,d ] = get_dsift_in_bound( I, bounds, m ,mode)
%UNTITLED3 Summary of this function goes here
% Detailed explanation goes here
% mode options:
% 1: get points with highest contrast
% 2: get random points
% 3: order by contrast, split array in multiple arrays, use highest
% contrast points of each of the re... |
%*****************************************************************************************************
% Write out plot to png file
%*****************************************************************************************************
function [fnpng]=wrplotpng(fn)
% Print to png file
fnpng=[fn,'.png'];
print... |
function sigmaSq = uq_Kriging_calc_sigmaSq( parameters, estim_method )
% UQ_KRIGING_CALC_SIGMASQ: returns the variance of the Guassian process
% while trying to calculate it in the most efficient way depending on the
% hyperparameters estimation method and in case of ML, the condition of the
% correlation matrix R
%
% ... |
clear;
verbose = false;
SNDRi = zeros(12,1);
SNDRideal = zeros(12,1);
for i=1:12
%%% ---------- Circuit parameters --------------
number_of_bits = 1+i;
sine_freq = 200;
sine_amplitude = .001;
sine_bias = 0;
Vref = 2;
noise_quantization = Vref^2/12*2^(-2*number_of_bits);
% Clock & ... |
% mpc_steady_state_analysis.m
% Xiaotian Dai
% University of York
% Segment reference signals and find corresponding steady state time.
% Use for analysis results from `mpc_period_with_abitary_reference.m`
addpath('../../Toolbox/')
%% initialization
r_end = 0;
tss_a = [];
h = mpc_param.Ts;
%% start iteration
while ... |
clc;
clear all;
infile=strcat('scp\\dcase2016_all_lps.scp');
fsmlf = fopen(infile);
%用fgetl读前面 7行 注意fgetl不会忽略空的行，如果遇到空的行，则fgetl会读入一个空的字符串
tline = fgetl(fsmlf) ; %fgetl 一次仅读入一行，并返回这一行的字符串。路径~
%fgetl函数，是从文本中读取一行数据，并丢弃行末的换行符
%system('mkdir D:\user\jundu\xuyong\yanping_10h\lsp_8k_be');
while (tline~=-1)
... |
function [FF,nn]=fisherP(xpf,ypf,t,yreal)
FF=zeros(length(xpf)-2,1);
for i=1:length(xpf)-2
[cc1,in1]=min(abs(t-xpf(i)));
[cc2,in2]=min(abs(t-xpf(i+1)));
[cc3,in3]=min(abs(t-xpf(i+2)));
xdata=t(in1:in3);
ydata=yreal(in1:in3);
tt=xdata;
yy=ydata;
slope ... |
%> @file setupGlobal.m
%> @brief Sets up global parameters that do not change between experiments
%> @details Global parameters including paths, K-Means parameters, source type, quality measure, and log setup.
%> @author Ben Nordin
%> @date 2011-09-01
% ==================================================================... |
% UPCOEF 1次元ウェーブレット係数から直接再構成
%
% Y = UPCOEF(O,X,'wname',N) は、ベクトル X の N ステップ目の再構成された
% 係数を計算します。'wname' は、ウェーブレット名を含む文字引数です。
% N は、厳密な意味での正の整数です。
% O = 'a' の場合、Approximation 係数が再構成されます。
% O = 'd' の場合、Detail 係数が再構成されます。
%
% Y = UPCOEF(O,X,'wname',N,L) は、ベクトル X の N ステップの再構成された
% 係数を計算します。そして、結果の中から中央の L の長さを抽出します。
%
% ... |
function [predict] = get_DA_fisherfaces(train, train_label, test, k)
% fisherfaces的变种方法，效果并不好http://www.docin.com/p-1418109138.html
% 计算DA-fisherfaces并用NN分类
% 输入：
% train_image = [N_train X d],每行为一个d维样本
% train_image_label = [N_train X 1]
% test_image = [N_test X d],每行为一个d维样本
% k = FLD降维后保留的维数
% 输出：
% predict = [N_tes... |
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%plot showing wave to working scale and real scale
%
%Corwin Wright, c.wright@bath.ac.uk, 2021/02/14
%
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%... |
% Read image
img = imread('image.jpg');
% Switch to grayscale image
img_gray = rgb2gray(img);
% 1. Histogram of the input image
% Compute and display the histogram of the input image using
% self-implemented function my_imhist, and make a comparison with MATLAB
% built-in function histogram
figure(1);
subplot(1, 2, 1)... |
function dFs_heel_c1_4 = dFs_heel_c1_4(in1,in2,us,ud)
%DFS_HEEL_C1_4
% DFS_HEEL_C1_4 = DFS_HEEL_C1_4(IN1,IN2,S_HEEL,US,UD)
% This function was generated by the Symbolic Math Toolbox version 8.4.
% 24-Jun-2020 13:53:55
q1 = in1(:,1);
q2 = in1(:,2);
q3 = in1(:,3);
q4 = in1(:,4);
q5 = in1(:,5);
q6 = in1(:,6);
q... |
function z=Laplacian(size)
c=(size+1)/2;
z=ones(size);
z(c,c)=1-size*size;
|
%% CS_SL0 Smoothed l0-Pseudonorm Algorithm
% ÊäÈ룺y---²âÁ¿ÐźŠM X 1
% A---»Ö¸´¾ØÕó M X N
% deltaT---×îСµÄdelta ÏÞÖÆdelta²»ÄÜ̫С,deltaԽСԽ½Ó½üÓÚl0·¶Êý
% r---deltaµÄÊÕËõ²½³¤
% mu---ºÜСµÄ¸üвÎÊý£¬¼ûÎÄÕÂ
% L---Ñ»·´ÎÊý ĬÈÏÈ¡Öµ3
% Êä³ö£ºxs---»Ö¸´µÄÐźŠN X 1
% ... |
clf;clear all;
% plot bpsk signal
load('./filter/Pulse_Shapping_Filter')
load('./filter/FIR_distortion')
signal = [-1,1,-1,1]
delayed_signal = delay(signal,0)
% sout = filter(FIR_distortion,signal)
transmit_signal = filter(Pulse_Shapping_Filter,DAC(signal))
recieve_signal = ADC(filter(Pulse_Shapping_Filter,transmit_s... |
function [rmax rmean rmeanci rmod] = respindex(tuning)
%function [rmax rmean rmeanci rmod] = respindex(tuning)
%
% max rate, mean rate +- 95%CI, modulation depth
%
on = tuning.on.k(:);
off = tuning.off.k(:);
rates = [on(:); off(:)];
rmean = mean(rates);
rmeanci = bootci(100, @nanmean, rates);
rmax = nanmean(max(rat... |
%%
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% EXERCICE 2
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%... |
function visualizeBoxes(img,cur_bboxes,filePath)
figure (15),
imshow(img);
hold on;
for i = 1:size(cur_bboxes,1)
bb = cur_bboxes(i,:);
plot(bb([1 3 3 1 1]),bb([2 2 4 4 2]),'g:','linewidth',5);
end
hold off;
axis image;
axis off;
title(sprintf('imAge: Single Instance... |
function path = findPath(map, start, goal)
% Input:
% map is an arbitrary size real matrix representing an occupancy grid. The elements are equal to 0 (free space) or 1 (occupied)
% start is a 1x2 matrix containing the start coordinate [x y] for the path
% goal is a 1x2 matrix containing the end c... |
function [T ] = Top5( data )
%UNTITLED4 此处显示有关此函数的摘要
% 此处显示详细说明
conf = 0;
reco = 0;
N_element = size(data,1);
for i = 1:N_element
if (ismember(data(i,1),data(i,[2 4 6 8 10]))) % mauvais decision
reco = reco+1;
else conf = conf+1; % bonne decision
end
end
Conf = round(conf/N_element*100);... |
function [X,A,row,col] = reshape_hsi(I,A)
%RESHAPE_HSI Summary of this function goes here
% Detailed explanation goes here
if nargin < 2
A = [];
end
if ndims(I) == 3
[row,col,B] = size(I);
N = row*col;
if ~isempty(A)
[row,col,M] = size(A);
A = reshape(A, N, M);
end
X = reshape... |
% The function calculate speed destribution and shows wind rose for time
% moment
function [] = main3(dataPath, matrixName, calculatePath, timeMoment, timeThreshold)
if nargin < 5
dataPath = "data";
matrixName = "smooth_colorEvents3.mat"
baseLinePath = "data";
calculatePath = "Calc... |
function dxdy=ode(x,y)
dxdy=[y(2);5*x*exp(x)-y(1)+2*y(2)]; |
function e_b = fcn_f2b_eff(e_f,N)
mu = 0.01;
G = 1/N;
sz_eff = length(e_f);
e_b = zeros(size(e_f));
for idx_eff = 1:sz_eff
thres = (1-G^2)/2;
e = e_f(idx_eff);
if thres < e && e <=1
e_b(idx_eff) = (2*e-1+G^2)/((1-G^2)*e+ 2*G^2);
else
e_b(idx_eff) = eps;
end
end
end
|
function s = translatelabel(s, eng_scale_mode)
% user can insert "$" character to be replaced by
% engineering scale mode character. if it's already been
% replaced, it's been replaced by {{{x}}}, which renders
% just as "x" since it's latex-interpreted. therefore, we
% can start by changing strings of this type... |
function res=MAPE(x, xt)
[n,m]=size(x);
xt(xt==0)=1e-2;
res=100/(n*m)*sum(sum(abs(x-xt)./abs(xt)));
end |
classdef Blender < handle
%BLENDER Class for all image blenders
%
% See also: cv.Stitcher
%
properties (SetAccess = private)
id % Object ID
end
methods
function this = Blender(blenderType, varargin)
%BLENDER Constructor
%
% obj = ... |
function [ dfdx ] = dfdx( f, x, dx )
dfdx = ( f( x .* (1+dx) ) - f( x ) )./ (x.*dx) ;
end
|
clear;
clc;
T=40;
D=21;
Duty=(D/T)*100;
N = 50;
omega0 = (2*pi)/T;
C_0 = 0;
t = -30:0.01:30; ... |
function texture_metric_radiomics = run_radiomics(sPathImg, lMask,category)
%%% Minor code efficiency fix
%%% Fix bugs (feature calculation now takes into account image modality)
%%% Added optional feature (non-isometric volume image to isometric)
% settings for preprocessing
% load volume
if ~contains(sPathImg,'.mat'... |
%% Stelling 16
%
% Bij het opslaan van een function file mag je het bestand
% een willekeurige naam geven.
%
Antwoord = NaN; % vul hier het juiste antwoord in 1 (WAAR) of 0 (ONWAAR)
|
function [ marksImUpdated ] = editMarks( I,marksIm )
%EIDTMARKS this function allows the user to manually edit or assign the
%location of each turbine mark.
%open new figure and show image
tempFigure = figure();
imagePlot = imshow(I);
hg = hggroup();
for i=1:9
imDots(i,1) = impoint(hg,marksIm{i,1}(1),... |
%% Feature detection
close all
clear all
img = imread('image_1.png');
% Calculate corner points using Harris Feature detector
cp = detectHarrisFeatures(img);
cp.Location
%% Control
f = 400;
p = length(img)/2;
Z = 50;
l = 0.1; %lambda
% Populate Observation vector using values from "feature detection section"
% ... |
function update(act, tag, val)
% Main updating function. Update the control outlooks and manage the states.
%
% Input
% act - action type, 0 | 1 | 2 | 3 | 4 | 5
% 0: initialize or click the poX menu
% 1: click the puLo button
% 2: click the puP button
% 3: adju... |
function [P,err] = dare(A,M,Q,R,N)
%DARE Solution to Discrete-time Algebraic Riccati Equation
%
% [P,err] = dare(A,M,Q,R,N)
%
% returns a positive semi-definite solution, if existent, for
% the following general discrete algebraic Riccati equation:
%
% P = A'PA - (A'PM + N)(R + M'PM)^{-... |
%% Converts Sentinel 3 spectral response functions to MODTRAN .flt
% Origin is flat text files from the libRadtran project
% www.libradtran.org
% Beyond that, the providence of this data is currently unknown
% The MATLAB Mod5 package is required to run this script.
% https://github.com/derekjgriffith/matlab-modtran-5
c... |
clear;
clc;
% Images received from Clair-Pixel
%input_image = double(imread('./CP_images/2M_IMG_0000.ppm')); % 8 bit
%input_image = double(imread('./CP_images/2M_IMG_BNR.ppm')); % 8 bit
%input_image = double(imread('./CP_images/CP8120_dark_0000.pgm')); % 16 bit (1 channel)
%input_image = double(imread('./CP_images/CP8... |
function [func_hat, var_hat] = hrf_deconv2(data, IRF)
% function [func_hat, var_hat] = hrf_deconv(data, IRF)
%
% deconvolves the hrf from a time series, given:
%
% data - (of course)this needs to be a column
% IRF - the IRF to deconvolve from the data
%
% the function uses a linear regression approach to
% deconvo... |
classdef Scan2017b < ne7.scanreader.scans.Scan5Point3
%SCAN2017B ScanImage 2017b
end
|
function info = updateInfo_v2(info)
w = info.wh; %learned w from observations
% for histogram
[t,id] = sort(w(end,:)*info.X',2,'descend');
theta_n = info.theta*info.norm;
theta_n(id(1)) = theta_n(id(1)) + info.tau;
info.theta = theta_n/sum(theta_n);
info.theta_set(:,size(w,1)+1)... |
function [Operators] = inequalityConstraint()
Operators.value=@(index)value(index);
Operators.evaluate=@(state,control,index)evaluate(state,control,index);
Operators.firstDerivativeWrtState=...
@(state,control,index)firstDerivativeWrtState(state,control,index);
Operators.firstDerivativeWrtControl=...
@(state,co... |
function [numopen, denopen, denclsd]=pdcomp(num,den,s1)
% Hadi Saadat, 1998
discr=[
' '
' The function pdcomp(num, den, s1) is used for the design of a PD '
' controller. num & den are row vectors of polynomial coefficients '
' of ... |
function [phase,cycleind,cyclet] = getphase(t,sig, varargin)
opt.smoothparam = 1; % lower is smoother
opt.threshold = []; % peak threshold
opt = parsevarargin(opt,varargin,3);
if (~isempty(opt.threshold))
thresh = {'threshold',opt.threshold};
else
thresh = {};
end
%find the peaks, anticipating that so... |
function [Y,Xx,Ea,Eu,W] = run(S,NPer,V)
% simulate.linear.run [Not a public function] Linear simulation.
%
% Backend IRIS function.
% No help provided.
% -IRIS Macroeconomic Modeling Toolbox.
% -Copyright (c) 2007-2017 IRIS Solutions Team.
try
V; %#ok<VUNUS>
catch
V = [ ];
end
%--------------... |
results = ['R27'];
for j =1:length(results(:,1)) %Represesnts rat number
%currentRat = results(j,:)
%Break up the
for i = 1:length(allAveragedEuclidDistSuccess)
i
if i == 1
Day3Success(j,:) = cell2mat(allAveragedEuclidDistSuccess(1));
Day3Success... |
%% *5.3.5. "M" - Continous Line Laser Path*
% This is the instruction to describe the laser beam toolpath, to be
% executed with last set technological parameters
% (see instructions "S", "F","P")
% The total size of this instruction can be computed as is:
% 1 + 4 + (4 + 4) x POINT_COUNT. The laser toolpa... |
function [] = lead_predict_Avg(leadPred,leadbase,leadPredcheck,sample)
% Filter all the leads by passing them through a bandpass filter
leadPred=fftfilter150(leadPred,0.5,40);
leadbase=fftfilter150(leadbase,0.5,40);
leadPredcheck=fftfilter150(leadPredcheck,0.5,40);
% Find the Rpeaks for all the leads
% NOTE : We are... |
%实验自定义驾驶场景,参考https://www.mathworks.com/help/releases/R2019b/driving/examples/driving-scenario-tutorial.html
function mainTestDS1
scenario = drivingScenario;
v1 = vehicle(scenario,'ClassID',1','Position',[6 0 0],'Velocity',[-3 0 0],'Yaw',180);
v2 = vehicle(scenario,'ClassID',1,'Position',[0 10 0],'Velocity',[0 -4 0],'Y... |
%% prt_my_pet_cit
% read results_my_pet.mat to write my_pet_cit.html
%%
function author = prt_my_pet_cit(metaData, doi, destinationFolder)
% created 2018/08/17 by Bas Kooijman
%% Syntax
% <../prt_my_pet_cit.m *prt_my_pet_cit*> (metaData, doi, destinationFolder)
%% Description
% Prints my_pet_cit.html with citation ... |
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