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function [v] = elementsOf(s)
v = s.elements; |
%% setup paths
rootPath = fileparts( mfilename('fullpath') );
while ~exist( fullfile( rootPath, 'setup_BCFW.m' ), 'file' )
rootPath = fileparts( rootPath );
end
run( fullfile( rootPath, 'setup_BCFW' ) );
dataPath = fullfile(rootPath, 'data', 'horseSeg' );
resultPath = fullfile(rootPath, 'results' , 'horseSeg_larg... |
function votECOGdiode(params)
%
% retECOGdiode(params)
%
% If we are doing eCOG experiment, then flash eCOG rect a few times so
% eCOG photodiode will pick up 'start' signal.
%
% April, 2010, JW: Split off from doRetinotopyScan.m
%
% note: this function doesn't have to be specific to retinotopy. could now
% be renamed... |
clear all;
close all;
x = [2 4 -3 1 -5 4 7];
N=7; n0=6; n = -10:10;
%%%%%% x1(n) %%%%%%
for k=-10:10
index1 = mod(k+4, 7);
if (index1 + n0) == N
index1 = N;
else
index1 = mod(index1+n0,N);
end
index2 = mod(k+4, N);
if (index2 + n0) == N
index2 = N;... |
function [v]=gaussian_quadrature(f,a,b,n)
% Gaussian Quadrature Algorithm for Integration
%
% Solves int_a^b f(x) dx across n panels.
%
% Arguments:
% f : function
% a : lower bound
% b : upper bound
% n : number of intervals
% Returns:
% v : value of integral
... |
function [H] = gen_data(N,M)
H = sqrt(1/2).*crandn(N,M);
end |
% This week's tutorial demonstartes how to make a graphical user interface
% (GUI, pronounced gooey) for your program. GUI are implemented inside
% functions and the user interface controls (buttons and such) live inside a
% matlab figure window. In matlab, GUI's can be create using matlab's GUI
% tool called GUIDE or ... |
%Exercitiul 3
%Se genereaza un vector cu elemente complexe
%Creem o functie cu 3 parametrii de iesire si unul de intrare, anume
%vectorul nostru.
%Aplicand functiile din platforma se ajunge usor la rezultat.
v = [1,1+i,5-3i,7,4-2i]
functia_mea(v)
|
function scans_to_process = lzDTI_FSLFLIRTcoregisterFAtoT1( scans_to_process )
%lzDTI_FSLFLIRTcoregisterFAtoT1- coreg FA to T1 using FSL flirt
% Creates an array of objects of the class lzDTI_participant
%
% Syntax: participants_to_process = lzDTI_FSLFLIRTcoregisterFAtoT1(scans_to_process )
%
% Inputs:
%
% Outputs: sc... |
function res = sig_trace1(dstr, xfile, pars)
% Trace sliding fft signals.
% Parameters:
% f0 - starting frequency (default: auto, right of two highest peaks)
% t1 t2 - time range (default: 0..end of signal)
% df - tracing freq window (default: 50Hz)
% dfs - tracing freq window (default: 10Hz)
% window ... |
%%%%% x(k+1) = A x(k) + B u(k)
%%%%% y(k) = C x(k) + D u(k) Note: Assumes D=0
%%%%%
%%%%% Illustrates open-loop prediction
%%%% yfut = P*x + H*ufut + L*offset
%%%% [offset = y(process) - y(model)]
%%%% MIMO model
A =[0.299843671875 0;
28.110344238 0];
B =[0.010667 0.010667;
... |
function xs = randsInRange(range, count)
% Generate random numbers in given range
% range: [min, max] bounds for generated numbers
% count: number of randoms
xs = (range(2) - range(1)) .* rand(count, 1) + range(1);
end |
[t0,y]=ode23('inverted',[0 3],[0.01 0 0 ])
subplot(2,1,1),plot(t0,y(:,1)) % for e
ylabel ('Angular position (rad)')
subplot(2,1,2),plot(t0,y(:,3)) % for u
ylabel ('Input force (N)') |
function [sys]=params_fun(K, b)
% motor paramretrs CL 321
Pn = 8; % W
wn = 315; %rad/s
Un = 110; %V
In = 0.58; %A
Mn = 0.123;% H*m
Jm = 0.59*10^(-4); %kg*m^2 * 10^(-4)
R = 25.8; %Om
L = 130*10^(-3); %mHn
%formules
Ta = L/R; %s armature time constant
ce = (Un - In*R)/wn;
cm = Mn/In;
Tm = (R*Jm)/(ce*cm);% electrom... |
t=(1:77)/128;
s_delay=diag( ones( 1 , 77 - 8 ) , 8 );
u60_delay=diag( ones( 1 , 77 - 16 ) , 16 );
u150_delay=diag( ones( 1 , 77 - 27 ) , 27 );
u240_delay=diag( ones( 1 , 77 - 39 ) , 39 );
ax=[0 0.7 -6 6];
subjects={ 'JP04' 'JP05' 'JP01' 'JP07' 'JP03' 'NJP01' 'NJP04' 'NJP06' 'NJP05' 'NJP02' 'NJP03' };
%subjects={ 'JP04... |
clear all
% establish users preferences as to how model is initialised and as to
% type of threshold used for the predictability.
random=str2double(inputdlg('0=chosen file as intro, 1=random intro sequence', 'Intro type',1,{'1'}));
if random==0
introfile=inputdlg('Input file name (DONT INCLUDE FILE EXTENSION)'... |
function gms2 = dgm2star(A,B,C,D,E,tol)
%%DGM2STAR Infimum or Optimal Value for Discrete-time H2 Control
%
% gms2 = dgm2star(A,B,C,D,E)
%
% calculates the infimum or the best achievable performance
% of the H2 suboptimal control problem for the system:
%
% x(k+1) = A x... |
load([project.paths.processedData '/GMM_configs/GMM_scores_32_10_mwv_mfc.mat'],'gmmScores');
gmmScores = sum(gmmScores,2);
load('C:\Users\SMukherjee\Desktop\behaviourPlatform\MNI\sankar\spic\dual_eng\surrogate_trial.mat','index_comb');
load([project.paths.processedData '/processed_data_word_level.mat'],'D');
load([pro... |
function [histogram, bins] = histogram(indata, binStep)
max = 255;
vectIndata = reshape(indata, 1, []) * max;
histogram = zeros(1, floor((max / binStep) + 1));
bins = (0 : binStep : max) / max;
for i = 1 : length(vectIndata)
index = floor(vectIndata(i) / binStep) + 1;
histogram(inde... |
function [ allAss ] = annotation3text(ass,txtP,mz)
%annotation3text - toned down version of its predecessor
if isstruct(mz)
mz = mz.cmz;
end
wb = waitbar(0,'Initiating','Name','Exporting Annotations');
% Say to where you are exporting the data
disp(txtP);
% Create the file
fid = fopen([txtP '.txt'],'w');
% Wr... |
% FIR Filter
clear
clc
Fs = 44100;
fp = 440;
fs = 2*fp;
W = fs; % cutoff
N = 64; % order
type = "low";
B = fir1(N, W, type);
stem(B);
plot(B)
|
%% run heding backtest
clear all;
error = [];
vol = [0.2:0.05:0.6];
for i = 1:length(vol)
i
h1.vol = vol(i);
h1 = deltahedging_backtest;
h1.init_etf50settings();
h1.total_val = 1000000;
h1.invest_frac = 0.6;
% 计算理论期权价格及其损益
h1.cal_theo_price();
h1.cal_theo_option_pnl();
%% 等间隔 delta对冲
h1.hedge_time_inte... |
% get a slide from point cloud perpendicular to one of the axis
% of the co-ordinate system with a tolerance
% parameters:
% fname - input coordinate file (default lidar.txt)
% coo - coordinate of section (default 1000)
% col - coordinate column (default 3)
% tol - tolerance to co-ordinate (default 0.2)
% sep... |
function Mesh = IOrPoly(filename, args, hOrd, scal)
% Mesh = IOrPoly(filename, args, hOrd, scal)
% reads Triangle mesh generated files
% filename = name of the *.poly file without extension
% args = selected arguments
%
% The following args are enforced:
% -p Triangulates a Planar Straight Line Graph (.poly f... |
%%
% Generate circles around each of the face features
% based on the indices returned from the FITW detector
%
% The following indices correspond to eyes, nose, and mouth:
%
% Left Eye: [11, 12, 13, 14]
% Right Eye: [22, 23, 24, 25]
% Nose: [1, 6, 7]
% Mouth: [38, 43, 46, 51]
%
% face_in_X = Input face points, x-com... |
function feats = compute_CNNFeats_GPU(net, images, ker_factor)
% use gpu to compute features on a set of 'images' using convnet 'net'
if (nargin < 3)
ker_factor = 0.6;
end
batchSize = 256;
[h,w,dim] = size(images{1});
feats = [];
nImages = length(images);
numBatches = ceil(length(images)/batchSize);
for k = 1:n... |
function F_t = F_t(X_s)
F_t = sigma(X_s); %needes to be in range of 0<=s<=t
end
|
% This function adds all of the jars in the 'jars' directory. This function
% will be called when the 'pop_hedconversion' and the 'validatehed'
% functions are executed.
%
% Usage:
% >> addJars();
%
% Copyright (C) 2015 Jeremy Cockfield jeremy.cockfield@gmail.com and
% Kay Robbins, UTSA, kay.robbins@utsa.edu
%
%
% T... |
function run_ivt(directory)
root_directory = fileparts(mfilename('fullpath'));
includes = {fullfile(root_directory, 'common'), ...
fullfile(root_directory, 'ivt')
};
for i = 1:numel(includes)
addpath(includes{i});
end;
if nargin < 1
if exist('traxserver') ~= 3
error('Traxserver MEX file not found!... |
%testmyspline
clc;
clear;
close all;
x=1:20;
x=x';
y=randn(size(x));
xx=linspace(min(x),max(x), 10000);
type='d1';
d=[-1,10];
yy_d1=myspline(x,y,xx,type,d);
type='d2';
d=[0,0];
yy_d2=myspline(x,y,xx,type,d);
type='periodic';
yy_per=myspline(x,y,xx,type,d);
figure(1);
hold on;
plot(x,y,'o');
plot(xx,yy_d1,'r');
plot(... |
function [ P ] = HammRadiusRecall( trainZ, q, r, gnd, junk )
%HAMMRADIUSRECALL Summary of this function goes here
% Detailed explanation goes here
nquery = size(q, 1);
P = 0;
for i = 1:nquery
point = q(i, :);
dist = sum(bsxfun(@xor,trainZ,point),2);
inds = find(dist <= r + 0.00001);
if isempty(ind... |
rtpset='full'
data_path='/asl/data/cris/sdr60';
src='_noaa_ops';
data_str='';
rtp_core
|
function [p] = PL_intersect(L1, L2)
% Intersect L1 and L2 intersect and return the point closest to L2
u1 = L1(1:3);
v1 = L1(1:3);
u2 = L2(1:3);
v2 = L2(4:6);
p0 = PL_closest_point_to_origin(L1);
e = cross(u1,u2)/dot(u1,v2);
v = v1./norm(v1);
% solve the system e = p0 + t*u for variable t:
t = v'*(e - p0);
end |
function [ output ] = selectbest(particles,bests)
[a,b]=size(bests);
[m,n]=size(particles);
for i=1:a
mi=particles(1,n-1);
k=1;
[m,n]=size(particles);
for j=2:m
if particles(j,n-1)<mi
mi=particles(j,n-1);
k=j;
end
end
bests(i,:)=particles(k,:)... |
function out = chi_jellium(rs);
printf(" \n");
printf("rs = %f \n",rs);
kF = 1.92/rs; %# from Ashcroft book
chi0 = kF/pi^2;
printf("chi0 = %f a.u. \n",chi0);
printf("note: chi0(q=0,w=0) equals DOS at EF! \n");
printf("note: BGW output in rydberg, multiply by -2! \n \n");
n = 3/4/pi/rs^3;
getIxc;
%# divide by 4 bel... |
function [samplingrate] = estimate_samplingrate_v01(timestamps)
% function [samplingrate] = estimate_samplingrate_v01(timestamps)
% This compute the empirical sampling rate of eytracker
% recordings. Based on timestamps.
%
% Input:
% - timestamps: A vector of time stamps from an eyetribe recording (i.e.
% eye... |
% Task2 Car License Plate Recognition (1)
%% binarize the license plate and the alphanumeric template images
im_CLP_original = imread('car_license_plate.bmp');
im_CLP = rgb2gray(im_CLP_original);
im_AT_original = imread('alphanumeric_templates .bmp');
im_AT_reversed = imcomplement(rgb2gray(im_AT_original));
im_CL... |
close all;
clear all;
% Answer to Problem 1
Problem1;
% Answer to Problem 2(a) (b) (d)
Problem2;
% Answer to Problem 3 Note: need input to run Problem 3
jointAngle_ini = [3, 2];
jointVelocity_ini = [1, -1];
jointAcc_ini = [1,1];
Ini_states = [jointAngle_ini; jointVelocity_ini; jointAcc_ini];
Problem3(Ini... |
function [mo] = ICV_MSE(mi1, mi2)
% Function: ICV_MSE
% Input:
% mi1: 2-D matrix
% mi2: 2-D matrix
% Output:
% mo: Mean square error
mo = sum(sum((mi1-mi2).^2))/numel(mi1);
end |
function [hv] = hypervolume(obj_ori)
%This function calculate the hypervolume of the input objective vector
obj_refined=[];
obj_refined=domination_check(obj_refined,obj_ori);
%initialize the hypervolume
hv=0;
%calculate the hypervolume
[amount_indiv,~]=size(obj_refined);
obj_refined=sortrows(obj_refined);
for cnt_1=... |
function [numopen, denopen, denclsd]=rldesign(num,den,s1)
% Hadi Saadat, 1998
clc
discr=[
' '
' The function rldesign(num, den, s1) is used for the root-locus design '
' of a linear control system. num & den are row vectors of polynomia... |
function plot_rewards( )
%PLOT_REWARDS 此处显示有关此函数的摘要
% 此处显示详细说明
x = 3:20;
x_n=0;
y = 21:30;
signal = 9;
rewards=zeros(length(x),length(y));
for short=x
x_n = x_n + 1;
y_n = 0;
for long=y
y_n = y_n+1;
rewards(x_n,y_n)=calc_reward(short, long, sign... |
clear;
clc;
%petunjuk : evaluasiindividu input = vector, output [fitness, cost]
%random nilai daya
%baru masuk ke pso
maxCost = 9999999999;
jumlahGenerator = 6;
jumlahPopulasi = 10;
iterasi = 200;
c1 = 1;
c2 = 1;
r1 = 0.4;
r2 = 0.5;
[populasi, fitness, cost] = randomPopulation(jumlahPopulasi, jumlahGenerator, iterasi);... |
%{
tp.Motion3D (computed) # my newest table
-> tp.FineAlign
-> tp.Ministack
-----
frame_corr : longblob # (um) the correlation coefficient of frame to stack
xyz_trajectory : longblob # (um) xyz trajectory of scan relative to the middle of the stack
zdist : longblob # (um) z trajectory centered around... |
function [convexity ,rev] = getConvexityByNewMeasure(seg_skull_in)
convexity = 0;
rev = 0;
BW = seg_skull_in;
BWSave = BW;
[x,y] = mass_center_here(BW);
center = [x,y] ;
centered_img=centerimgHere(BW,center);
for k = 0:2:179
imR = imrotate(centered_img, k);
[row_ind, col_ind] = find(BW... |
function hist = my_diphist(resim)
I=imread(resim);
hist=zeros(1,255);
sz = size(I)
for i=1:sz(1)
for j=1:sz(2)
say=I(i,j);
hist(say) = hist(say) + 1;
end
end
end
% my_diphist('cameraman.tif')
%cehars |
%clear;
matlabUtil = '../share/matlab'; addpath(genpath(matlabUtil));
JCMsuite_init(1);
setup;
jcmwave_jcmt2jcm('materials.jcmt', keys, 'outputfile', './jcmFiles/materials.jcm');
jcmwave_jcmt2jcm('layout.jcmt', keys, 'outputfile', './jcmFiles/layout.jcm');
jcmwave_geo('./jcmFiles');
jcmwave_view('./jcmFiles/grid.j... |
% evaluation of the mask method when there are >1 matches for a single ROI and comparison of its output with the inpolygon method.
figure;
eftMatchIdx_mask = NaN(1, length(rois));
for iman = 1:length(rois)
f = find(maskOverlapMeasure(:,iman)>0);
if length(f)==1
eftMatchIdx_mask(iman) = f;
... |
close all;
clear;clc;
rootPath = 'data';
streamline = 'Streamline6';
blade = 'Blade';
fileSuffixes = '.dat';
numOfBlades = 24;
for i = 1:numOfBlades
varName = [blade,num2str(i,'%02d')];
tmp = load(fullfile(rootPath, streamline, [varName,fileSuffixes]));
tmp = tmp(1:2:end,:);
data(:,i) = (3*tmp(:)+0.1*r... |
%% Description
%
% The goal is to perform following task
% 1. The train and test accuracy are calculated based on the Newton's method with regularization parameter
% 2. To plot train and test accuracy rates Vs regularization parameter
% ============================================================
%%Loading the... |
function [activity, rois] = applyCustomROIsToTifs(imfilename, tifList)
% activity = applyFijiROIsToTifs(pathToROIZip, tifList)
%
% Apply custom ROIs saved in imfilename to the tif files in the cell
% array tifList. Returns an array activity, which is the mean fluorescence
% over time (rows) in each ROI (columns).
... |
clear all
% Note that it already applies the negtive 10 volts shift
% edit to where your files are stored
%this must also be in your matlab path
place_of_files = 'C:\Users\Jacob\Desktop\School stuff\AEM 4602\data_directory';
% Number of files that you have
number_of_files = 257;
dir_help= '\lab2-';
% May have to ch... |
function res = intersectar (v1,m1,v2,m2)
c = v1(2)-m1*v1(1);
d = v2(2)-m2*v2(1);
res = [(d-c)/(m1-m2) , (m1*d - m2*c)/(m1-m2)];
end |
function dt = myODE(t,x)
dt(1) = sin(x(1));
end |
in_index = (1:16)';
% include in path, the foldername.
FolderName = '.\furnace302\';
filename = 'furnace302.mat';
out_index = 17 ;
n_obj = length(out_index);
% currently the file PP_NNGA_subsets supports the input data in form of matrix (not cell) type.
for out=out_index
PP_NNGA_subsets(FolderNam... |
function varargout=dewatermark_img(varargin)
%Questa funzione effettua l'operazione di estrazione di un watermark di
%tipo immagine, inserito tramite la funzione watermark_img.
%Accetta almeno un parametro di ingresso e restituisce un solo parametro di
%uscita (l'immagine appunto). Può accettare un'eventuale key numeri... |
%% Image Analysis Script
% This is code batch processes images for fractional cover.
% Does NOT allow for cropping of images right now.
%%%USER INPUTS%%%%%%%%%%%%%%%
folder = 'C:\Users\susanmeerdink\Dropbox (UFL)\Dennison_Frac_Cover_Project\Photos_to_Process\012812\';
ext = 'CR2';
outputFile = 'C:\Users\susanmeerdink... |
function Map = VMT_LoadMap(filetype,coord,varargin);
% This routine loads a map file from either a text file or a .mat file.
%
% Input: filetype = 'txt' for a text file (2 col (x,y), no headers); 'mat' for a matlab data file
% coord = 'UTM' for UTM coordinates or 'LL' for latitude, longitude (in dec de... |
%Problem 10
clc;clear;close all;
%% 4ASK mapping
b=[0 0 0 1 1 1 1 0];%input
a=fourASK(b);
%% modulator
Ts=0.002;T0=Ts/10;
t=0:T0:Ts*(length(a)+1);
xt=modu(a,Ts,t);
%% after receive filter
p = @(t) rect((t-Ts/2)/Ts);
y = xt;
tp = 0:T0:Ts;
h = p(Ts-tp);
z = T0/Ts * conv(y,h); ... |
warning off
mkdir('../pictures')
%% a quick peak of lost data to decide the position of FILD
m = importdata('../orbit_results/dist.plt');
lost = m.data;
thet = lost(:,2);
thet = rem(thet,2*pi);
zet = lost(:,3);
zet = rem(zet,2*pi);
x=lost(:,4);
z=lost(:,5);
en=lost(:,6);
ptch=lost(:,7);
pz=lost(:,8);
type=lost(:,13);
... |
function [errorCode, errorMsg,entrustNoList, batchNo] = Order(connection,token,orderList)
import com.hundsun.esb.* com.hundsun.esb.data.*;
[errorCode, errorMsg, packet] = CallService(connection,MakeRequestPacket(token,orderList));
entrustNoList = -1;
batchNo = 0;
if errorCode == 0
[batchN... |
function [w, b, obj, cvErrs] = ridgeRegInefficient(X, y, lambda)
n = size(X,2);
X = [X; ones(1,n)];
k = size(X,1);
cvErrs = zeros(n, 1);
W = zeros(k, n);
I = [[eye(k-1);zeros(1,k-1)] zeros(k,1)];
for i = 1:n
x_i = X(:,i);
X_i = getXI(X, i);
y_i ... |
function gam = dgm8star(A,B,C,D,E)
%DGM8STAR Infimum or Optimal Value for Discrete H-infinity Control
%
% gms8 = dgm8star(A,B,C,D,E)
%
% calculates the infimum or the best achievable performance
% of H-infinity suboptimal control problem for the plant:
%
% x(k+1) = A x... |
% This function is used in "Kinematics.m".
% It is used for plotting the stationary triangle (mobile platform)
function [x y x1 y1 x2 y2 x3 y3 x11 y11 x22 y22 x33 y33]=Triangle(pos,vec,dis, t1, t2, t3)
L=2;
l1=2;l2=2;c2=3;d2=0;c3=1.5;d3=3.5;
pos1=pos;
pos3=[pos(1,1)+dis*cosd(vec+60),pos(1,2)+dis*sind(60+vec)];
p... |
function update_results_plot(varargin)
%% update_results_plot.m
%
% Usage:
% update_results_plot();% will use latest results file
% update_results_plot('filename.rs');% with specified results file
%
% Plots current view of the Pareto frontier
%
import rbsa.eoss.*;
import rbsa.eoss.local.*;
import java.io.*;... |
function [mean_evolution1, mean_evolution2, max_evolution1, max_evolution2] = dataAnalysis(data, wav_files, w_L, shift)
%UNTITLED2 Summary of this function goes here
% Detailed explanation goes here
n_files = length(wav_files);
w_prior = [];
mean_evolution1 = [];
max_evolution1 = [];
mean_evolution2 = [];
max_evol... |
%
function R = possiblePairs( features1 , features2 )
%thr=.1;%%set1
%thr=1;%%set2
R=[];
for i=1:size(features1,1)
thr=immse(features1(i,:),features2(1,:));
min=[];
for j=1:size(features2,1)
if immse(features1(i,:),features2(j,:))<thr
min=[i j];
thr=immse(fea... |
function power_total = trim_power_prop(Prop_theta_0,Prop_isEnable)
%TRIM_POWER_PROP power_total = trim_power_prop(Prop_theta_0,Prop_isEnable)
% 输出整机功率
% Prop_theta_0 (rad)
% Prop_isEnable = 0(default) or 1
global LowerRotor UpperRotor
global Prop
global Fus
if nargin == 1
Prop_isEnable = 1;
else
end
% x = ... |
function [mv] = calculate_multiplier(sensor_nodes, nn)
%CALCULATE_MULTIPLIER Summary of this function goes here
% Detailed explanation goes here
%total_packets = 0;
mv(1:sensor_nodes) = 0;
%while total_packets ~= sensor_nodes
% for i = 1:sensor_nodes
% current_nn = nn(i);
% ... |
function [CCBefore, CCAfter, BW1, BW2] = detectROIsC(imageSeqBeforeStd, imageSeqAfterStd, displayFig)
% ************************************************************************************
% edge detection in order to find ROIs
% performing CC algorithem in order to find the actual index of ROIs.
%
% ***************... |
s := BelyiDBInitialize();
/*
Base Field Data
*/
base_field_data := [* *];
K1<nu1> := NumberField(Polynomial([RationalField() | 1, -1, 1]));
place1 := InfinitePlaces(K1)[1];
conj1 := true;
CC<I> := ComplexField(20);
z1 := 0.00000000000000000000p20;
base_field_data_1 := [* K1, place1, conj1, z1 *];
Append(~base_field_d... |
%
% history points for wavy wall cases
% in X-Y plane going up to Y=0.5
%
function wwMpts(casename) % mesh points
lx1=8;
xlen=1;
ylen=1;
if(strcmp(casename,'smoothWavyWall'))
nelx=64*0.25*xlen;
nely=16*ylen;
elseif(strcmp(casename,'roughWavyWall'))
nelx=128*0.25*xlen;
nely=32*ylen;
end
x=semmesh(nelx,lx1,0)*xlen;... |
%% Define Red Pitaya as TCP/IP object
clc
close all
% IP= '192.168.101.108'; % IP of your Red Pitaya...
IP= 'rp-f01b63.local'; % rp-MAC.local MAC are the last 6 characters of your Red Pitaya
port = 5000; % If you are using WiFi then IP is:
RP=tcpip(IP, port,'InputBufferSize',3... |
%load data
%ptbCorgiData = uiGetPtbCorgiData();
% loadGroupedData;
% ptbCorgiData{1} = ptbCorgiDataShort;
% ptbCorgiData{2} = ptbCorgiDataMid;
% ptbCorgiData{3} = ptbCorgiDataLong;
nP = ptbCorgiDataShort.nParticipants
nGroup = 3;
for iP = 1:nP,
for iGroup = 1:nGroup,
participantData = ptbCorgiData{i... |
function handle = run(varargin)
% RUN
%
% DESCRIPTION:
% Wrapper for calling ground truthing tool
%
%
% COMMENTS:
% Arguments passed on directly to tool
%
%
%@
% Copyright 2016 The Johns Hopkins University Applied Physics Laboratory
%
% Permission is hereby granted, free of charge, to any person obtain... |
(FirstYear, LastYear)=>
let
YearStart = #date(FirstYear, 1, 1),
YearEnd = #date(LastYear, 12, 31),
DayCount = Duration.Days(YearEnd - YearStart) +1,
DayList = List.Dates(YearStart, DayCount, #duration(1,0,0,0)),
DayTable = Table.FromList(DayList, Splitter.SplitByNothing()),
RenamedCols = Table.... |
%----------------------------------------------------------------------------
% plot_temp.m
%
% read in data from a historical and control run. plot several manifistations
% of the data.
%
% compute a simple linear regression of the data
%
% compute a running mean
%
% there are two ways of computing the temperature... |
function [estado,index_G,ajuste_limiar,fator_peso,flag_fim] = ...
state_machine(estado,buffer,flag_fim,index_G,ajuste_limiar,fator_peso,tam_nivel)
%==========================================================================
% Função recebe o estado atual e toma a decisão da escolha do próximo
% estado através da matr... |
function image_features = get_pyramid_gist_fisher(image_paths)
gists = get_gist(image_paths);
sifts = get_fisher_sifts(image_paths);
pyramids = get_pyramid_sift(image_paths);
image_features = [gists sifts pyramids];
end |
function J_toe = J_toe(in1)
%J_TOE
% J_TOE = J_TOE(IN1)
% This function was generated by the Symbolic Math Toolbox version 8.5.
% 04-Dec-2020 16:29:36
q_t1 = in1(:,1);
q_t2 = in1(:,2);
q_t3 = in1(:,3);
q_t4 = in1(:,4);
q_t5 = in1(:,5);
q_t6 = in1(:,6);
t2 = q_t1+q_t2;
t13 = atan(5.18251222829003e-1);
t14 = a... |
function merged_ROIs = mergeROIs_set(mouse, imagingFolder, mdfFileNumber, thMerge, doEvaluate, saveMergedVar)
%
% Newest method for merging ROIs: uses Eftychios's method however instead
% of defining spatial overlap as A'*A, it uses your custom method, ie based
% on fraction overlap of masks driven from A (at .95 c... |
function kappa_f = getkappa_f(sgPriorName,parameter)
% getkappa_f returns kappa_f function needed to estimate SG prior parameters
%
% input arguments:
% sgPriorName SG prior name
% parameter SG prior parameter
%
% output arguments:
% kappa_f kappa_f function
%
% Pérez-Bue... |
%% DATA EXPLORATION
% 1. Data structure exploration
% 2. Visualization
%% Load depedencies
addpath '../../data/test alpha 5s' % Data, Not: the data has been bandpass filtered, descripiton is in the README.md
addpath '../../tools/spectral' % tools
ALLEEG = load('5sopen_close.mat').ALLEEG; ... |
function [low, high]=iqr(x, f, skipNaN)
if exist('skipNaN','var') && skipNaN
x=x(isfinite(x));
end
if nargin==1;
f=0.68;
end
if min(size(x))==1 & size(x,2)>size(x,1);
x=x(:);
end
if isempty(x)
low=NaN; high=NaN;
return
end
if length(x)==1
[low, high]=deal(x);
if nar... |
% test struct:
grades = [];
level = 5;
semester = 'Fall';
subject = 'Math';
student = 'John_Doe';
fieldnames = {semester subject student}
newGrades_Doe = [85, 89, 76, 93, 85, 91, 68, 84, 95, 73];
grades = setfield(grades, {level}, ...
fieldnames{:}, {10, 21:30}, ...
newGrades_Doe);
spindle(1).sensor = 'Cz';
spindle(1... |
function cmenu = setAnnotationContextMenu(obj, hPoly )
% SETANNOTATIONCONTEXTMENU
%
% DESCRIPTION:
%
%
% SYNTAX:
%
%
% INPUTS:
%
%
% OUTPUTS:
%
%
% COMMENTS:
%
%@
% Copyright 2016 The Johns Hopkins University Applied Physics Laboratory
%
% Permission is hereby granted, free of charge, to any person obtaining ... |
thickness % Extracts ri and kh from a file calculates ocean mask finds width.
% Establish weight as thickness times mask.
wt=width.*mask'
%Initialize sums
sumwt=0.;
sumwtri=0.;
sumwtkh=0.;
for k=1:n
sumwt=sumwt+wt(k);
sumwtri=sumwtri+wt(k)*ri(k);
sumwtkh=sumwtkh+wt(k)*kh(k);
end
riwtav=sumwtri/sumwt
khwtav=... |
% $Header: svn://192.168.32.71/trunk/AMIGO_R2012_cvodes/add_DynamicOpt/Preprocessor/AMIGO_private_defaults_OD.m 770 2013-08-06 09:41:45Z attila $
function [inputs_def]= AMIGO_private_defaults_DO()
% AMIGO_private_defaults: Assign defaults that may not be modified by user
%
%*******************************************... |
clear
A = [1 2; 3 4; 5 6];
B = [1 2 3; 4 5 6];
% 1. Which of the following is posssible ?
C1 = A'+B % -> 3x2 transp + 2x3 = 2x3 + 2x3 -> fine
C2 = B*A % -> 2x3 * 3x2 -> inner match -> fine
% C3 = A+B
% C4 = B'*A
% 2. Which of the following indexing expressions gives B=⎡⎣⎢⎢⎢16594211714⎤⎦⎥⎥⎥? Check all that apply
A =... |
varOfInterest = repmat({'prob_offset.mat'},length(folderName),1);
varOfInterest2 = repmat({'output_offset.mat'},length(folderName),1);
for iFile = 1:length(fileSave)
posterior_probability{iFile,j} = importdata([fileSave{iFile} filesep varOfInterest{iFile}]);
output{iFile,j} = importdata([fileSave{iFile} file... |
cond=2*tol;
iter = 0;
dvF = zeros(N,1); dvB = zeros(N,1);
while cond>tol % value function iteration
V_in =V;
% Finite difference approximation
dvF(1:end-1) = (V(2:end) - V(1:end-1))./(s_vec(2:end) - s_vec(1:end-1)); % Forward
dvF(N) = (y2 + r_vec(end)*s_vec(end)-c_bliss)^(-gamma);
dvB(2:end) ... |
%{
olf.SiteMetrics (computed) #
-> olf.RespOpt
-> preprocess.Spikes
-> preprocess.MaskType
---
sparseness_on : float # sparseness
sparseness_off : float # sparseness
pactive_on : float # ratio of active cells
pactive_off ... |
%%
clear
%clc
%N = 50000;
%E = 250968;
N = 2048;
k = 7;
E = (k*N)/2 %13712;
if E< (N-1)+ceil(((N+2)*sqrt(3*(N+2)))/9)
fprintf('Correct!!!\n');
end
eps2 = 0.02;
sigma = 1.0 - eps2;
%a = 1
p = -2*sigma - 4;
q = 8*sigma + sigma^2 + 1 - N;
r = 2*E - 4*sigma^2;
%fprintf('p= %0.4f q= %0.4f r= %0.4f\n',p,q,r);
a = (1/... |
%% Przykladowe zadanie 1
% Dana funkcja
% y' + y = -2*pi*e^(-x)*sin(2*pi*x)
% y' = -2*pi*e^(-x)*sin(2*pi*x) - y
% Warunki poczatkowe
% x0 = 0, y0 = y(x0) = 1
% Dodatkowe dane
% Policzy? w przedziale <0, 10>
% h = 0,001
% Wynik analityczny = y(x)=e^(-x)*cos(2*pi*x)
clc;
clear;
dydx = @(x, y) (-2*pi*exp(-x)*sin(2*pi*x) ... |
function [nll,g,H,T] = LogisticLoss(w,X,y, lambda)
% w(feature,1)
% X(instance,feature)
% y(instance,1)
[n,p] = size(X);
Xw = X*w;
yXw = y.*Xw;
% Compute NLL(w)
nll = sum(log(1 + exp(-yXw))) + (.5*lambda*w'*w);
if isinf(nll)
% Fallback on log-sum-exp trick if you overflow
nll = sum(mylogsumexp(... |
close all;
clear all;
FieldSize = [ 2 2 ]; % cm
%FieldSize = [ 10 10 3 3 ]; % cm
Depth = 10; % cm
MU = 200;
% Location of cross profiles
x_offset = 0;
y_offset = 0;
filename = sprintf('W:\\Private\\Physics\\21eX91 Validation - DJJ\\1 - Open Field\\01 - Symmetric Fields\\Mapcheck\\%dx%d_%dcm_%dMU.txt',FieldSize(1),... |
function [ TangoPosesRGB_SS, TangoPosesRGB_AL, tangoTimesRGB ] = getRGBPoses( folder,tangoPose,validFiles )
%GETRGBPOSES Summary of this function goes here
% Detailed explanation goes here
%% List images
imageFiles = dir([folder filesep '*.jpg']);
imageFiles = cat(1,{imageFiles(:).name})';
TangoPosesRGB_SS = cell(l... |
function [varargout] = pdpts(n,varargin)
%-------------------------------------------------------------------------------
% USAGE of "pdpts".
%
% Pad = pdpts(n)
% Pad = pdpts(n,xyrange)
% [X1,Y1,X2,Y2] = pdpts(n)
% [X1,Y1,X2,Y2] = pdpts(n,xyrange)
%
% Compute the (first family of) Padua points, either as a matrix Pad ... |
function [index, boolean] = essentialBoundaryOnCircleFilter(p,t,problem)
tol = 10000*eps;
[n, ~] = size(p);
e = boundedges(p,t);
e = unique(e)';
switch problem
case 1
index = e;
case 2
boundaryPoints = p(e,:);
filtro = ( abs(boundaryPoints(:,1)) < tol & ~(abs(boundaryPoints(:,2... |
clear;
clc;
addpath('E:\Dropbox (MGEP)\RepositoriosGitHub\VariabilityModelingSimulink\SimManipulation');
init; %Initialize variables
configName = 'default';
configFileName = [configName '.config'];
simulinkConfigurationNameNoSLX = ['TanksModel_' configName];
simulinkConfigurationName = ['TanksModel_' configName '.sl... |
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