text stringlengths 8 6.12M |
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function res = intgrlterm2(solx, i, n ,T)
if(i==1)
disp('ACHTUNG!!!!!!!!!!!!!!!!!!!!!!!!!!!(intgrl, i cannot be 1)');
end
temp = 0;
for k=1:n
temp = temp + norm(solx(1,:,k) - solx(i,:,k))^4;
end
res = T/n*temp;
end
|
%% Filtering Demo
% This program demonstrates Domain Transform filtering using cv.DTFilter
%
% <https://github.com/opencv/opencv_contrib/blob/3.1.0/modules/ximgproc/samples/live_demo.cpp>
%
function varargout = dtFilter_demo_gui(im)
% Load an image
if nargin < 1
src = imread(fullfile(mexopencv.root(),'... |
function[alignment Ohist] = est_orientation(P,U,vect)
%EST_ALIGNMENT(P,U,vect) - look at the fiber alignment
if nargout >=3
histflag = 1;
else
histflag = 0;
end
X0 = P.X0;
F = P.F;
if histflag
thetaN = 10;
phiN = 10;
Ohist = zeros(thetaN,phiN);
Anorm = zeros(thetaN,phiN);
theta_range ... |
function TT_ZX = eikonal2D_edited(model,temp,Pilih)
% TT_ZXY = eikonal2D(V_ZX, dx, XS, ZS)
%
% Fast-marching eikonal equation solver following Sethian & Popovici
% (Geophysics 64 no 2 pp 512-523, 1999)
%
% V_ZX: unpadded velocity model
% dx: grid spacing
% XS, ZS: shot location as an index into the V_ZX. Note ... |
function plot_periods
figure; clf; hold on;
f0 = 833000;
hmin = 0;
pp=0:0.1:30;
% measured values
delta = 0.8247./(pp+8.007)+1.135;
cpar = 38100./(pp+20.54) + 578;
cper = cpar./delta;
addpath ~/he3lib/lib/matlab/
% cper = he3_text_cperp(0.1, pp);
% cpar = he3_text_cpar(0.1, pp);
nub = h... |
function testResultChecker(tRes)
%TESTRESULTCHECKER Summary of this function goes here
% Detailed explanation goes here
failBit = tRes.Failed;
if failBit
error(['test ' tRes.Name ' failed']);
end
end
|
function [hits] = findFileType(locn, type)
% findFileType - for a given folder find all files in it with the specified
% extension. This is useful for folders which haven't been indexed, like
% Ottmar's hard drive or the Z drive.
% if strcmp(locn(end),filesep)
% locn = locn(1:end-1);
% end
% Can we do it purely i... |
function com = combinations(n,k)
% COMBINATIONS calculates the number of ways you may choose k elements from
% n elements. For example, you can choose 2 elements from 3 elements in
% 3!/(2!(3-2)!) = 3 ways
if k > n
error('Cannot calculate with given values')
end
com = factorial(n)/(factorial(... |
% $Header: svn://.../trunk/AMIGO2R2016/Preprocessor/AMIGO_paths_PE.m 2487 2016-02-23 14:01:49Z evabalsa $
% AMIGO_paths_PE: Generates and adds necessary paths for PE
%
%******************************************************************************
% AMIGO2: dynamic modeling, optimization and control of biological syst... |
classdef ConeOData < sbfsem.io.OData
% CONEODATA
%
% Description:
% Import cone outlines from OData
%
% Constructor:
% obj = ConeOData(source);
%
% Methods
% IDs = obj.getConeIDs(coneType);
%
% History
% 5Jan2018 - SSP
% 8Feb2018 - SSP - Added undefined (U) cone type
% 5Mar2018 - SSP - Updated to new JSON... |
function I = analyze75read(varargin)
%ANALYZE75READ Read image file of Mayo Analyze 7.5 data set.
%
% I = ANALYZE75READ(FILENAME) reads the image data from the IMG file of
% an Analyze 7.5 format data set (a pair of FILENAME.HDR and FILENAME.IMG
% files). For single-frame images, I is an M-by-N array where M is ... |
function step = ai(realcapture)
% --------- 输入参数说明 -------- %
% realcapture是摄像头捕获的图像（矩阵），具体格式是rgb、ycbcr或灰度
% 由你的user_camera函数的返回值（也叫realcapture）决定
% --------- 输出参数说明 -------- %
% 计算出的操作放在step数组里,格式如下：
% 若当前已无法找到可以相连的块，则step = -1
% 否则step里有四个数，代表把(step(1), step(2))与... |
clear
plan=3;
switch plan
case 1
load bird200.mat
case 2
load fire500.mat
ln=5;
case 3
load yezi600.mat
ln=1;
case 4
load shizi1500.mat
case 5
load fenghuang2000.mat
case 6
load hudie3000.mat
case 7
load niao21000.mat
... |
function mask=generatemask(img)
mask = zeros(size(img));
row = size(img,1);
col = size(img,2);
for i = 1:size(img,1)
for j =1:size(img,2)
if sum(img(i,j,:))~=0&&sum(img(min(i+3,row),j,:))~=0&&sum(img(i,min(j+3,col),:))~=0....
&&sum(img(max(1,i-3),j,:))~=0&&sum(img(i,max(1,j-3),:))~=0&&sum(img(m... |
function A = jac6DoF(Z, U, trajData)
ac = trajData.ac;
VR = trajData.VR;
% Z = [u,v,w,p,q,r,phi,theta,psi,x,y,z]
% U = [df, da, de, dr]
u = Z(1); v = Z(2); w = Z(3); p = Z(4); q = Z(5); r = Z(6);
phi = Z(7); theta = Z(8); psi = Z(9); x = Z(10); y = Z(11); z = Z(12);
df = U(1); da = U(2); de... |
function E = calculeazaEnergie(img)
%calculeaza energia la fiecare pixel pe baza gradientului
%input: img - imaginea initiala
%output: E - energia
%urmati urmatorii pasi:
%transformati imaginea in grayscale
%folositi un filtru sobel pentru a calcula gradientul in directia x si y
%calculati magnitudinea gradientului
%E... |
function D = NN_distance_matrix(points);
%%NN_distance_matrix calculates mean of the minimum Euclidean distance between 2D coordinates
%INPUT:points, n*2 coordinates
%OUTPUT:D: distance matrix
%%Author Nazanin Zounemat Kermani, Imperial college London, 2016
n=size(points,1);
points = points';
L2 = sum(points.^2,1);
D =... |
% Copyright (C) Daphne Koller, Stanford University, 2012
function EU = SimpleCalcExpectedUtility(I)
% Inputs: An influence diagram, I (as described in the writeup).
% I.RandomFactors = list of factors for each random variable. These are CPDs, with
% the child variable = D.var(1)
% ... |
clear all; close all; clc;
line_widht = 2;
%% Input
data_type = input('signal(gate/step/rampa/seno): ', 's');
validatestring(data_type, {'gate', 'step', 'rampa', 'seno'})
file = strcat('../data/motor_', data_type, '.lvm');
data = load(file);
%% DATA experimental proviene desde la planta
u = data(:, 2);
y = data(:, 4)... |
% Produces data for figures 3 and 4.
% How does the geodetically constrained core density and moment of inertia
% compare to the geochemically predicted?
% Figure 3, part a: geodetic constraints.
lib_amp_Bertone_2021 = 39.03;
dlib_amp_Bertone_2021 = 1.1;
[C_m, dC_m] = fn_get_C_m(lib_amp_Bertone_2021, dlib_amp_Berto... |
figure
hold on
clc;
clear all;
%% Parametros límite contenedores y escenario
l_cont=2.5;
lim_xi=-30+l_cont/2;
lim_xd=0-l_cont/2;
ml_min=2000;
ml_max=50000;
base_x=[-38 0 0];
base_y=[0 0 -30];
barco_x=[5 5 50 50];
barco_y=[15 -20 -20 15];
mar_x1=[0 5];
mar_y1=[-5 -5];
mar_x2=[50 68];
mar_y2=[-5 -5];
carro_x=[-38 68];
ca... |
function [path] = dijistra_path(prev, s, v)
% prev是最短路终点的前驱矩阵
% path将输出源点s到终点v的路径
path = v;
if path(1)!=s
path = [prev(path(1)), path];
endif
path = [s, path];
endfunction
|
%%
clear;
clc;
username = char(java.lang.System.getProperty('user.name'));
toolpth_ = [ filesep 'Users' filesep username filesep 'Documents' filesep 'tools'];
pth_ = pwd;
assert(strcmp(pth_(end-3:end), 'code'), 'Please cd to folder');
data_pth_ = [pth_(1:end-4)];
addpath([toolpth_ filesep 'fieldtrip']);
ft_defaults;
s... |
function [v, sub, sat] = LGF_proc_(p, u)
% LGF_proc: Loudness Growth Function
% function [v, sub, sat] = LGF_proc(p, u)
%
% Inputs:
% p: Parameter struct, with the following fields:
% p.Q: Percentage decrease of output when input is 10 dB below sat_level.
% p.lgf_alpha: Curve shape fac... |
function [output]=frac2bin(a,ibits,fbits);
% [output]=frac2bin(a,ibits, fbits);
% a= number to be converted
% ibits=integer part bits, must be an integer >0
% fbits=number of fractional bits, must be an integer>=0
% This returns an array [output] that is the input number
... |
function main_run
%
% To run, type: main_run
%
% Compare the solutions of the Burgers'Equation from
% 1) Full order system
% 2) POD reduced sytem
% 3) POD-DEIM reduced system
%
% y(0,t) = y(1,t) =0, t \ge 0
% y(x,0) = y_0(x), x \in [0,1],
%
%% Solve the full-order system and collect snapshots
n = ... |
function [output_signal] = question1c(noise_magnitude)
% The function takes in a parameter which determines the magnitude
% of the noise relative to the norm of the input signal. It is expressed in
% percentage. A 5% percent noise would mean noise_magnitude = 5 and not
% 0.05.
%The convolution kernel
h = [1 2 3 4 3 2 ... |
format long;
format compact;
gpudev = gpuDevice(1); % get the GPU device
info = h5info('./temp/signal.h5');
sigSize = info.Datasets(1).Dataspace.Size;
horizontalSignal_mpi_mat = h5read('./temp/signal.h5', '/signal', [1 1], sigSize);
FFP_z = h5read('./temp/signal.h5', '/FFP_z', [1 1], sigSize);
FFP_x = h5re... |
function runTrainTest(fname,rfold, wfold ,arrFuzSig,oldarrFuzSig, param, w1)
%UNTITLED Summary of this function goes here
% Detailed explanation goes here
feature = fname;
numRaws=60;
% default input files
pred_vals = [];
pred_lable = [];
TP=0;FP=0;FN=0;TN=0;
parfor i=1:numRaws
trainData = csvread(strcat(rfold, f... |
spmPath='/Volumes/Aidas_HDD/MRI_data/S1/Analysis/'
load('/Volumes/Aidas_HDD/MRI_data/S1/Analysis/SPM.mat')
mask_fn='/Volumes/Aidas_HDD/MRI_data/S1/Analysis/mask.nii';
target_betas = [15:29 36:50 57:71]
%filenames=SPM.xY.P(target_betas,:); % raw epi's get loaded here, filtered,
%saved as separate.nii's
for i=1:length(t... |
%DRAWAXIS Draw coordinate system axis from pose estimation
%
% img = cv.drawAxis(img, cameraMatrix, distCoeffs, rvec, tvec, length)
%
% ## Input
% * __img__ input image. It must have 1 or 3 channels. In the output, the
% number of channels is not altered.
% * __cameraMatrix__ input 3x3 floating-point camera m... |
function [rhsu] = HeatLDGRHS1D(u,time)
% function [rhsu] = HeatLDGRHS1D(u,time,a,ax)
% Purpose : Evaluate RHS flux in 1D heat equation using an LDG flux
Globals1D;
% Define field differences at faces
du = zeros(Nfp*Nfaces,K); du(:) = (1.0+nx(:)).*(u(vmapM)-u(vmapP))/2.0;
% impose boundary condition -- Di... |
close all
top_ROI= inputdlg("top"); %Top_ROI
top_ROI=str2num(top_ROI{1});
bottom_ROI= inputdlg("botom");%Bottom_ROI
bottom_ROI=str2num(bottom_ROI{1});
%Read filenames from list
[Dateiname]= textread('/Users/fvalero/Documents/MATLAB/orig_datei/DateiListe.txt','%s ',150);
%Folder for reading data and write res... |
function [CompInfo] = DetectComp
%============================ DetectComp.m ================================
% This function queries and returns information about the computer that the
% function is run on, which can in turn be used to identify the machine and
% load appropriate parameters.
%
% Written by Aidan... |
function[out_img] = DetectLines(img, angle, sigma_val)
img_size = size(img);
angle_line = angle;
angle_process = angle_line;
sigma = sigma_val;
line_length = 3;
original = uint8(img);
if img_size(3) == 3
img = rgb2gray(img);
elseif img_size(3) > 3
original = uint8(img(:,:,1:3));
img = rgb2gray(img(:,:,1... |
startFrame = 2;
endFrame = 400;
numFrames = endFrame - startFrame + 1;
imHeight = 270;
imWidth = 480;
binImgThreshold = 0.35;
k = 5;
km_iters = 5;
% places all the images into a nice array
ims = cell(numFrames, 1);
i=1;
for f = startFrame:endFrame
imName = strcat('imgs5/',int2str(f),'.png');
ims{i} = ... |
function dfri_heel = dfri_heel(in1,s_heel)
%DFRI_HEEL
% DFRI_HEEL = DFRI_HEEL(IN1,S_HEEL)
% This function was generated by the Symbolic Math Toolbox version 8.4.
% 25-Jun-2020 15:35:57
q1 = in1(:,1);
q2 = in1(:,2);
q3 = in1(:,3);
q4 = in1(:,4);
q5 = in1(:,5);
q6 = in1(:,6);
qd1 = in1(:,7);
qd2 = in1(:,8);
qd... |
function start
global logger_file;
logger_file = sprintf('logs/%s.txt', datetime('now', 'Format','d-MMM-y_HHmmss'));
% state variables
states = Stack(3);
states.Cv2Str = @decode_state;
states.push(START);
while true
curr_state = states.pop();
... |
falls_list = [10,3;11,1;12,1;13,1;14,1;15,1;16,1;17,2;18,1;19,1;20,3;21,1;22,3;23,1;24,1;25,2;26,1;27,1;34,4;35,1;36,1;37,1;38,2;39,3;43,1;44,1;45,2;46,1;47,1;48,1;49,1;50,1;51,1];
label_corridor_cha = ...
['bendpick ';'bendpick ';'bendpick ';'empty ';...
'empty ';'empty ';'jump ';'... |
function allSlices = generateOptimizedPrintPlan3D(structure, angles, splitLineX, splitLineY, printPlanGrid, normalVectors, zmax, createPlotting)
splitedInX = splitSector3DInX(structure, splitLineX);
splitedInXY = cell(size(normalVectors, 1), size(normalVectors, 2));
printPlanGridTemp = reshape(printPla... |
classdef structOptimalControlOutput < handle
properties
time;
inds;
q;
c;
ocStruct;
optStruct;
optPivot;
splinePoints;
constPoints;
resnorm;
end
methods
function obj = structOptimalControlOutput()... |
%% Epoching
varExist = exist('spect2Plot','var');
if varExist == 0
spec2Plot = true;
end
alignEvent_MI = spectrogramData{1}.state.ST_MOV;
alignEvent_Base = spectrogramData{1}.state.ST_HOLD;
alignEvent_OFFDECODED = spectrogramData{1}.state.ST_OFFDECODED;
epochs_PSD_ONSET = extract_epochs_runs(spectrogramData,.... |
clear
clc
grade = input('what grade? ');
if grade >= 90
letter = 'A'
elseif grade >= 80
letter = 'B'
elseif grade >= 70
letter = 'C'
elseif grade >= 60
letter = 'D'
else
letter = 'F'
end
|
% SAMPLE1 - Visual presentation of words at a constant rate
config_display
%this is equivalent to:
%config_display(1, 1, [0 0 0], [1 1 1], 'Helvetica', 50, 4, 0)
% Specifiy data file to be 'sample1.dat;
config_data( 'sample1.dat' );
start_cogent;
for i = 1:countdatarows
% Get word from data
word = getdata... |
function output = runNetvlad(filelist)
setup ;
paths = localPaths() ;
if(~iscell(filelist))
error('filelist must be a cell array');
end
%save([folder '/tmp_netvlad_filelist.mat'], 'filelist');
% Loading model
netID = 'vd16_pitts30k_conv5_3_vlad_preL2_intra_white' ;
load( sprintf('%s%s.mat', paths.pretrainedCNN... |
%
% Tone Mapping Operator, by Reinhard 02 paper.
%
% input:
% img: HDR img([row, col, channel])
% a: key value(high:0.36, noraml:0.18, low:0.09)
% Lwhite: user determined, the smallest luminance to be mapped to 1. (1.5)
%
% output:
% tone-mapped image (LDR)
%
function imgOut = tonemapGlobal(img, a, Lwhite)
... |
function stats = kfold_validation(data, classifier, k)
% performs a k-fold cross-validation on the data
% using the model of the classifier (class)
% and lastly computes and returns stats for the classification
rows = size(data, 1);
stats = zeros(1, 4);
ceiling = ceil(rows/k);
... |
function L = lap(A,nl)
%LAP Calculate the Laplacian of an adjacency matrix.
%
% Input A: n by n adjacency matrix (symmetric).
% nl: flag for normalization.
% nl = 0 means unnormalized, nl = 1 means normalized.
% Defaults to nl = 1.
%
% Output L: n by n Laplacian ... |
function [xfrm_matrices] = loadXFRMMatrix(workspace_path,pathToFsInstallDirectory,fs_subj_dir)
%LOADXFRMMATRIX Summary of this function goes here
% Detailed explanation goes here
wspace_dir=dir(workspace_path);
if(~any(contains({wspace_dir.name},'xfrm_matrices')))
disp('To correctly convert Freeview data ... |
function [ outputImage ] = removeNoise( originalImage )
%REMOVENOISE function removes the noise from the image by using blurring.
% 2D order statistich and median filters are used to remove the noise
% from the image and it appears blurred.
%%grayImage = rgb2gray(originalImage);
outputImage = zeros(size(originalIm... |
clear all
close all
clc
% Problem #3
% State 1:
m_1 = 10; %[kg]
P_1 = 105; %[kPa]
T_1 = 300; %[K]
R = 0.287; %[kJ/kg-K]
V_1 = (m_1*R*T_1)/P_1; %[m^3]
% State 2:
P_2 = 1250; %[kPa]
% Input
W = -2000; %[kJ]
% Relating temperatures and pressure of isentropic to work for an ideal
% gas to determin... |
global MPI_COMM_WORLD;
load 'MatMPI/MPI_COMM_WORLD.mat';
MPI_COMM_WORLD.rank = 62;
Alluxio_Row_mv_version3;
|
function y = corr(x)
% sigma(x(n)*x(n-d))
% n=100;
n = length(x);
y = zeros(1,2*n+1);
idx = 1;
for num = n:-1:0
xd1 = [zeros(1,num),x];
xd2 = [x,zeros(1,num)];
y(idx) = sum(xd1.*xd2);
idx = idx+1;
fprintf([num2str(idx),'\n']);
end
for num = 1: n
xd1 = [x,zeros(1,num)];
xd2 = [zeros(1,num),x]... |
function [Y,Xf,Af] = myNeuralNetworkFunction(X,Xi,~)
%MYNEURALNETWORKFUNCTION neural network simulation function.
%
% Generated by Neural Network Toolbox function genFunction, 08-Nov-2018 01:13:11.
%
% [Y,Xf,Af] = myNeuralNetworkFunction(X,Xi,~) takes these arguments:
%
% X = 2xTS cell, 2 inputs over TS timesteps
% ... |
function foo = GetSubFunNames(FIDSlurp,CONTENTS)
% GETSUBFUNNAMES Get the names of the file's
% subfunctions
%
% USAGE:
% FID = fopen('xlsread.m','rt');
% a = GetSubFunNames(FID)
TRUE = logical(1);
FALSE = logical(0);
if nargin<2 CONTENTS = FALSE; end;
TESTREGEX=logical(0);
% DEFINE REGEX FOR FUNCTION NAMES
% ... |
function coef = sgmga_vcn_coef_naive ( dim_num, level_weight, x_max, x, q_max )
%*****************************************************************************80
%
%% SGMGA_VCN_COEF_NAIVE returns the "next" constrained vector's coefficient.
%
% Discussion:
%
% This function uses a naive approach to the computation,... |
function [] = ISBN13Checker_FM(first12, last)
% ISBN13Checker_FM(first12, last)
vec = ones(12,1);
vec(2:2:12)=3;
check = mod(10 - first12*vec, 10);
if check == last
printf('No Error detected.\n\r')
else
printf('Error Detected: The check digit %d is different from the last digit %d.\n\r', check, last)
end |
close all;
clear;
clc
%Reading logging file from veristand simple thrust allocation
Array = csvread('C:\Users\MCLab\Documents\GitHub\GROUP4_CS_Enterprise_CRIOlab\Logs\2017\02\06\Log File_10_05_59.csv', 1);
L2_continious = Array(:,1);
PosXRight = Array(:,2);
R2_continous = Array(:,3);
alpha_VPS1 = Array(:,4);
u_BT = ... |
function track_updateFrame()
calllib('NPTrackingTools', 'TT_UpdateSingleFrame'); |
%Renames files from outputfilename to rename
basefolder = 'W:\Analysis\';
slideNames = {'AJ0188_P1', 'AJ0188_P2', 'AJ0188_P3', 'AJ0188_P4', 'AJ0188_P5','AJ0188_P6', 'AJ0189_P1', 'AJ0189_P2', 'AJ0189_P3', 'AJ0189_P4', 'AJ0189_P5', 'AJ0189_P6',...
'AJ0205_P1', 'AJ0205_P2', 'AJ0205_P3', 'AJ0205_P4', 'AJ0205_P5','A... |
function res = wphflm_fit(Y,model,wpspecs,MCMCspecs)
%wphflm_fit Fits the Wavelet-Packet Historical Functional Linear Model and returns
% posterior estimates of the histrical surface as well as scalar
% covariates. Also performs Posterior Functional Inference on all
% covariates of interest via Bayes... |
%% Setup energy intervals
E_max=0.6*eV;
E_min=0*eV;
n_E=200; %number of energy points to be considered
EE=linspace(E_min,E_max,n_E); |
function [popX, popY, popZ] = populationDecay_02(decayX, decayY, time)
%POPULATION Function calculates population values for isotopes X, Y and Z
%when the relationship is X->Y->Z with decay rates respectively of decayX
%and decayY at the moment of time 'time'. It is assumed inital conditions
%are such that popX = 1, po... |
radius = input("Enter radius of cone: ");
height = input("Enter height of cone: ");
volume = (pi/3)*radius*radius*height; %radius^2
disp("Volume of cone= " + volume); |
clear all; clc; close all;
%addpath SimulationData\
load Tensor_800NoF_300Basic.mat
TrainPath = 'SABS\Train\NoForegroundDay\';
addpath(TrainPath);
nrow = 120; ncol = nrow*160/120; p=nrow*ncol;
%% Reading the GroundTruth
%GroundTruth
srcFiles = dir(strcat(TrainPath,'*.png'));
if length(srcFiles) > videole... |
function h = plot1x3D(name, time, xdata, ydata, zdata, segInfo, cropInfo)
% plot the data
h = figure;
scatter3(xdata, ydata, zdata, 'b.'); % all data
hold on
% now find the data highlighted by segInfo
[~, closeInd_start] = findClosestValue(segInfo.timeStart, time);
[~, closeIn... |
function vec = reorder(z)
%This method turns the vector z = [q1,q2,..,qN,w1,w2,...,wN] into
% vec = [q1,w1,q2,w2,...,qN,wN] which is the format used in the Lie
% group integrators setting.
N = length(z(:,1))/6; %Number of connected pendulums
q = z(1:length(z(:,1))/2,:);
w = z(length(z(:,1))/2+... |
function [row,col,thre] = findCornerIndex(Corner_Image,num)
thre = 0;
count = 340*512;
while count > num
count = size(find(Corner_Image > thre));
thre = thre + 1;
end
[row,col,thre] = find(Corner_Image > thre);
|
function [P,Pi] = computePandPi(Dir_alpha,Dir2d_alpha)
K = length(Dir_alpha);
P = zeros(K); Pi = zeros(1,K);
for j = 1:K
PsiSum = psi(sum(Dir2d_alpha(j,:)));
for i = 1:K,
P(j,i) = exp(psi(Dir2d_alpha(j,i))-PsiSum);
end;
P(j,:) = P(j,:) ./ sum(P(j,:));
end
PsiSum = psi(sum(Dir_alpha,2));
for i = ... |
% Computes the semi-analytical solution to the steady, Euler equations
% in terrain following coordinates using a coordinate transformation from
% XZ to alpha-xi. The reference state is a standard atmosphere of piece-wise
% linear temperature profiles with a smooth zonal jet given. Pressure and
% density initialized ... |
%% Stelling 10
%
% Een functie kan worden aangeroepen vanuit
% de Workspace.
%
Antwoord = NaN; % vul hier het juiste antwoord in 1 (WAAR) of 0 (ONWAAR)
|
classdef longDTI_timepoint
%longDTI_timepoint - timepoint data info for a participant
% Detailed explanation goes here
properties
Date
Datenum
File
Fullpath
GMvol
WMvol
CSFvol
TIV
ROI
... |
%% This is a simple test to test rungeKuttaNystrom integration
%clear in correct order if cars exist
clear vis
clear mdl
clear all
%Create a visualizer
vis = Visualizer('vis',960,720);
%load up a model
mdl = rlCModel('planar.xml');
mdl.forwardPosition();
%Create 20 srnsors and add them to the model
for i=1:100
... |
function dx = getdx(v,theta)
%
Is = 2156;
TWratio = 2.2;
g = 9.801;
dx = Is*v*cosd(theta)/TWratio/g;
end |
%> @brief Unstructed mesh object
% ======================================================================
%> NdgMesh class stores the information of unstructed mesh,
%> including the elements and interpolation nodes connection.
%> Each NdgMesh objects only contain one kind of ref cell. For the hybrid
%> mesh, the user ... |
cfg = [];tf_d=[];
cfg.parameter = 'powspctrm';
for i=1:length(tf_speech)
tf_d{i} = ft_freqdescriptives(cfg, tf_speech{i});
end
cfg = [];
cfg.channel = 'all';
cfg.latency = 'all';
cfg.parameter = 'powspctrm';
GA= ft_freqgrandaverage(cfg, tf_d{:});
cfg = [];tf_d=[];
cfg.paramete... |
%Planejamento de caminho A*
clear;
clc;
mapa = [1 1 1 1 1 1 1 1;
1 1 1 1 1 1 1 1;
1 1 0 0 0 0 1 1;
1 1 1 1 1 0 1 1;
1 1 1 1 1 0 1 1;
1 1 1 1 1 1 1 1;
1 1 1 1 1 1 1 1;
1 1 1 1 1 1 1 1];
copiaMapa = mapa;
i = [4 5];
f = [1 8];
caminhoRes = star2(i,f,mapa,copiaM... |
% This code solves a simple asset pricing model that does not permit an
% analytical solution. See Appendix D of Han, Tan & Wu (2021): Analytic
% Policy Function Iteration.
clear
close all
clc
% Parameters
beta = 0.98;
rho = 0.9;
sig_e = 1;
sig_u = 2;
sig_v = 3;
% Variables
xp = 1;
% Shocks
sd = ... |
classdef Controller < dynamicprops & PusherSliderSystem & Friction
properties (Constant)
h = 0.03;
steps=50;
num_xcStates = 4;
num_ucStates = 5;
uc_eq= [0.1634;0.1634;0;0;0]; %For Linearization purposes
xc_eq = [0;0;0;0]; %For Linearization purposes
Q = 10*dia... |
%> @brief The abstract limiter class.
%
%> And here we can put some more detailed informations about the class.
% ======================================================================
%> This class is part of the NDGOM software.
%> @author li12242, Tianjin University, li12242@tju.edu.cn
% ============================... |
% This file is similar to main.m file, but you do not have to go through
% the features calculation, which is very time consuming, anymore.
clc; clear;
data = load('temp/tweets_and_features.mat');
allTweets = data.allTweets;
features = data.features;
% Re-tweet removal
fprintf('\nRemoving re-tweets...');
[f... |
trust_region_w_dogleg([1.2,1.2]', @eval_rosenbrock, @grad_rosenbrock, @hess_rosenbrock)
trust_region_w_dogleg([-1.2,1]', @eval_rosenbrock, @grad_rosenbrock, @hess_rosenbrock)
function k = trust_region_w_dogleg(xk, eval_f, grad_f, hess_f)
TRmax = 2; %maximum initial trust region radius
TRk = 1; %trust radi... |
%% Check for validity of installation
mypath = mfilename('fullpath');
myDirectory = mypath(1:strfind(mypath, 'test/testInstallation') - 1);
fs = 44100;
sigmaT = 0.01;
output = generateSparseFVNset(fs, sigmaT);
tmpCmd = ['load ' myDirectory 'src/fvnMin10ms.mat'];
eval(tmpCmd);
diffChk = output.fvnSet - fvnMin10ms;
if... |
function[ u] = new_upacwe(u,c11,c22,Img,orginal,count,iterNum,oldth)
if(count<iterNum)
u=NeumannBoundCond(u);
mu=1;
lambda1=1;
lambda2=1;
timestep = .1; v=1; epsilon=1;
pc=1;
DrcU=(epsilon/pi)./(epsilon^2+u.^2); %eq.(9), ref[2] the delta function
... |
function p = pdfTgivenLambda(t, lambda, m)
% Conditional density of postsyn. ISI given presyn. rate
% Note the difference between this implementation and Eqn. 13 of Berger &
% Levy 2010: m is assumed to be a real number (rather than an integer) no less than 1.
% Xin Wang <xinw@salk.edu>
% Copyright 2014, CNL-S, The... |
function writeOutputResultAtStepToVtk( obj, step )
%WRITEOUTPUTRESULTTOVTK Summary of this function goes here
% Detailed explanation goes here
time = ncread(obj.fileName{1},'time');
fprintf('===============================\n');
fprintf('Time of the current output is:%f\n',time(step));
fprintf('Date has been written i... |
function setUserParameter_travellingWave_noI2
% parameters adapted from parameter sets for figure2
% of "Out-of-phase oscillations and traveling waves with unusual properties: the use of three-component systems in biology"
global userParam
userParam.nComponents = 3; %[activator; inhibitor1; BMP4]. Inhibitor1 inhibit... |
%% Question 1
clear all
close all
bag = rosbag('tutorial4.bag');
laserscans = select(bag,'Topic', '/scan');
firstlaserscan = readMessages(laserscans, 1);
cart=firstlaserscan{1}.readCartesian;
plot(cart(:,1),cart(:,2))
%% QUESTION 2
clear all
close all
ranges=[1.4142 1.1547 1.0353 1.0000 1.0353 1.1547 1.4142];
an... |
function [ S ] = SLIM( R, beta, lambda, miter )
%UNTITLED12 Summary of this function goes here
% Detailed explanation goes here
n = size(R,2);
RR = R' * R;
S = rand(n,n);
S = S - diag(diag(S));
for iter=1:miter
t = R-R*S;
obj = trace_eff(t)/2;
obj = obj + trace_eff(S)*beta/2;
obj = obj + sum(sum(S))... |
% Create rigid body tree from pelvis to left arm for inverse kinematics
% utorso is taken as a Basename and from there to the left end-effector rigid body is created
clear all;
% Call the function written at the end of the code
% Add the path to include all the folders and subfolders in the directory
addpath(genpath... |
function Y = ComputeRegressorNaive(model, q, qd, qdd)
%% Y = ComputeRegressorNaive(model, q, qd, qdd)
% Computes the classical regressor Y by repeatedly calling the inverse
% dynamics routine, once for each column of Y.
% (I call it Naive since there are more efficient ways to accomplish this
% task, even if this way... |
fileToLoad = uigetfile; load(fileToLoad);
[sortedData] = organizeData(sessionInfo,experimentData);
%
iCond =1; %When you have only 1 condition
respOri = [sortedData(iCond).trialData(:).respOri];
stimOri = [sortedData(iCond).trialData(:).stimOri];
respOri=wrapTo90(respOri);
stimOri=wrapTo90(stimOri);
estimate_initia... |
function [dcbin,acbin] = imghide1(img,DCTAB,ACTAB,QTAB,msg)
[m,n] = size(img);
img = [img,repmat(img(:,n),1,mod(-n,8))]; % 补齐为8的整数倍
img = [img;repmat(img(m,:),mod(-m,8),1)];
M = m+mod(-m,8);
N = n+mod(-n,8);
M = round(M/8);
N = round(N/8);
L = M*N;
blocks = zeros(8,8*L);
for k ... |
function [result] = pso_path_planning()
clear all;
close all;
% joint limits (degrees)
joint_limits = [...
-97.494 97.494 0; ... % s0
-60 123 31.5; ... % s1
-174.987 174.987 0; ... % e0
-150 2.864 -73; ... % e1
-175.25 175.25 0; ... % w0
-90 120 15; ...... |
classdef CBiasDAC < handle
%电压源共有12个电压输出 使用1~6为U1~U6 7~12 为D1~D6
%%
properties
fs;
BaudRate=115200;
end
methods
%初始化
function obj = CBiasDAC(server_ip)
obj.fs=serial(server_ip);
obj.fs.BaudRate=obj.BaudRate;
... |
clear all;
Ic1=1;
Ic2=1.0*Ic1;
Ic3=0.7*Ic1;
r3=0;
a=2*Ic3/(Ic1+Ic2);
b=0.01;
k=(Ic1-Ic2)/(Ic1+Ic2);
bias=pi;
r1=-pi:0.01:pi;
r2=r1;
figure;
for n=1:length(r2)
U(n,:)=-((1+k)*cos(r1-r2(n)-r3)+(1-k)*cos(r1+r2(n)+r3)+a*cos(2*r2(n)+bias-r3/a))+(1+2*a)^2*(1-k^2)/(2*a*b*(1+2*a-k^2))*r3.^2;
end
contourf(r1/pi,r2/pi,U,35);... |
function kSpace_cart_out = pre_interp_radial_to_cart(kSpace_radial,x_coor,y_coor)
[sx,nor,nf,nc,nSMS,ns] = size(kSpace_radial);
data = double(reshape(kSpace_radial,[sx*nor,nf*nc*nSMS*ns]));
x = reshape(x_coor,[sx*nor,nf]);
y = reshape(y_coor,[sx*nor,nf]);
x = repmat(x,[1 nc*nSMS*ns]);
y = repmat(y,[1 nc*nSMS*ns]);
... |
%% estimating the area between f(x)>0 (example: a bell curve) and the x-axis
f = @(x) (1/sqrt(2*pi))*exp(-x^2/2); % define the function
n = 1000; % number of points to use - estimate will be better for larger N
count = 0;
% x = -1 + 2*rand(n,1); % vectorized version
% y = rand(n,1);
for i = 1:n
% ge... |
%--------------------------------------------------------------------------
% Returns negative penalized log-likelihood of a point process
%
% Inputs:
%
% coef : coefficients of B-splines
% spike_time : time of events (spikes)
% pen_coef : penalty coefficients for smoothness
% nb... |
function [pd] = doglegpath(tau, pdU, pdB)
if (tau >= 0) & (tau <= 1)
pd = tau * pdU;
else
pd = pdU + (tau-1) * (pdB - pdU);
end
|
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