text stringlengths 8 6.12M |
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function [] = nspend(N,g,k,nsteps)
T=20*pi/sqrt(g);
x0=[zeros(N,1);pi/2*ones(N,1)];
v0=zeros(2*N,1);
u=[x0,v0];
figure(1);
r=u(1:N,1);
th=u(N+1:2*N,1);
z=[0;-1i*cumsum((1+r).*exp(1i*th))/N];
hp=plot(real(z),imag(z),'.-b');
xlim([-2,2]);
ylim([-2,1]);
axis manual;
pbaspect([1 1 1]);
t=linspace(0,T,nsteps);
h=t(2)-t(1);
... |
function savetextarchive(tag,P,A,M)
%
% savetextarchive(tag,P,A,M)
%
fname = [tag 'pam.txt'] ;
f = fopen(fname,'wt') ;
if f<=0,
fprintf('Error: unable to open file %s\n',fname) ;
return
end
P = [P,A,M] ;
fprintf(f,'%4.3f, %1.5f, %1.5f, %1.5f, %2.4f, %2.4f, %2.4f\n',P') ;
fclose(f) ;
|
% predict missing entries in the real datasets
% coded by Eugene Seo (seoe@oregonstate.edu)
clear;clc;close all; addpath(genpath(pwd))
%% load datasets
Y_true = importdata('dataset/Y.csv',','); [I,J] = size(Y_true);
A = importdata('dataset/A.csv',','); % Availability matrix
Y_true(isnan(A)) = nan; % let unknown... |
%Script to calculate the effect of different numbers of data years on the calculation of tau.
%Makes line plots of forest type-level statistics and maps.
%
%Dependencies:
% - *.mat files from hansen_disturb_int_calc_1deg_lu_v4_lossyear.m
% calculated with a range of different values for lossyear
% - hansen_forested_fra... |
function tone = makeTone(f,Fs,tsec)
% function tone = makeTone(f,Fs,tsec)
% creates a musical tone which can be played back using soundsc
% Inputs:
% f: desired frequency in Hz. A concert is 440 Hz; middle C is 261 Hz
% Fs: sampling rate in Hz. 8000 is a good choice
% tsec: length of tone, in seconds
% some n... |
function r = forcingd3fdxdp2(t,fd_cell,p,more)
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% forcingd3fdxdp2
%
% forcing function estimation
%
% third derivative with respect to smooth and forcing coefficents (twice).
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%... |
% Andrew Brown Homework 2 Problem 6
clc
clear
% Epidemic Part 1
%Part 1.1
%Initial Values
a=10; %the contact rate: the average # of people a person comes in contact with.
b=1.25; %the amount of time in days that a person is infectious
S0=0:500:2000; %Susceptibles, those who have never had the illness and can catch ... |
function output = getIndicesOfPointInVolume(obj,point)
output = round((point - obj.origin)./obj.resolution) + [1 1 1];
end |
classdef QLearningAgent
%QLEARNING This is a class that will generate an object with an
%environment, agent, and perform Q Learning to develop a policy for the
%agent to learn to choose an ideal action for a given state in the
%environment.
properties
QMatrix
gamma
learningRate
... |
function rawAddr=getTmpdiff128Addr(x,y,pol);
%function rawAddr=getTmpdiff128Addr(x,y,pol);
% returns a raw address for Tmpdiff128 for a pixel with x,y location and
% pol polarity with pol=0 for OFF and 1 for ON
rawAddr=(y)*256+(127-x)*2+pol; %extractor.getAddressFromCell(x,y,pol);
|
%% Calculation of Net Rotation
function rotation=net_rotation(probable_independent_slip_system,collect_shear,strain_increment)
%% Forming 3x3 matrix by calculating diadic prodcut
for counter9=1:1:size(probable_independent_slip_system,1)
three_by_three(:,:,counter9) = [probable_independent_slip_system(counter9,4);proba... |
function [t2,y2] = eulermod(tmax, y01,y02,h)
n = floor(tmax/h); % Metoda Rungego Kutty 2 rzedu
y2=zeros(2,n);
t2=zeros(1,n);
y2(1,1)=y01;
y2(2,1)=y02;
for i = 1:n-1
y2(:,i+1) = y2(:,i) + h*(rownania(t2(i)+h/2,y2(:,i))+rownania(t2(i),y2(:,i))*h/2);
t2(i+1)=t2(i)+h;
end |
function out = OXY_HRF(s,x,Fr)
% OXY_HRF -- Use Analytic Methods to compute HRF functions of the observed
% changes in oxygen signals based on the assumption that the
% oxygen response to locomotion is a linear, time-invariant system.
%
% USAGE:
% h = OXY_HRF(s,x,Fs);
... |
function okrag
% okrag x^2+y^2=r^2 w ukladzie wsp. x=-4:0.1:4, y=[-4 ]
r=2; % promien
x=-4:0.1:4; % zakres zmiennosci x
y1p=sqrt(-x.^2+r^2); % 1-szy polokrag
x1okrag=x;
x1okrag(imag(y1p)~=0) = []; % dla braku punktow okregu
y1p(imag(y1p)~=0) = []; % bez czesci urojonych
y1m=-y1p; % 2gi polokrag
plot(x1okrag,y1p, '-b',... |
function [ I] = getLetterFeatureAndSetClass( region )
%GETCGVFEATURES Summary of this function goes here
% Detailed explanation goes here
% For key input for making datasets
YES = 121;
NO = 110;
ALL_NO = 113;
ALL_YES = 13;
QUIT = 27;
% If no text in region
skip_region = false... |
function img = XuSegmentAndSave(file_name,s_jsonc_fbp,s_jsonc_bone_corr,s_jsonc_preprocessing)
%status = XuSegmentAndSave(file_name,s_jsonc_fbp,s_jsonc_bone_corr,,s_jsonc_preprocessing)
%s_jsonc_preprocessing is optional
if nargin == 3
preprocessing_para.A=0;
else
preprocessing_para = XuReadJsonc(s_jsonc_prepr... |
classdef Matrice
properties
n;
m;
value;
end
methods
function r = total(obj)
r = sum(sum(obj.value));
end
function r = norm(obj)
r = sqrt(sum(sum(obj.value.^2)));
end
end
end |
function [intersectionCylindreExiste, positionIntersectionCylindre, normaleIntersectionCylindre] = CollisionCylindre(droite, positionDepart, cylindre)
intersectionCylindreExiste = false;
positionIntersectionCylindre = Vecteur(0, 0, 0);
normaleIntersectionCylindre = Vecteur(0, 0, 0);
[intersecti... |
%% cleaning
clear;
close all;
set(groot, 'DefaultTextInterpreter', 'Latex');
set(groot, 'DefaultLegendInterpreter', 'Latex');
% set(groot, 'DefaultAxesFontSize', 14);
set(groot, 'DefaultLineLineWidth', 2);
figindex = 1;
%% load
rawdata = csvread('../../build/out.csv');
index = 1;
t = rawdata(:, index); index = index +... |
%Andrew Brown Homework 9 Problem 4
clc
clear
close all
%Teacup Part 5
% Read them back in again - put this in the top of your script
xsys = dlmread('TeacupPts.txt');
% Get x and y points back out
xs = xsys(1,:);
ys = xsys(2,:);
pts = [xs;ys;ones(1,length(xs))];
% Plot the points from the original sketch at the ori... |
close all;
clear all;
load('main')
squirrel1.task_id = 0
squirrel1.move2Pos(food(16).loc-[15,15],100)
input('continue')
squirrel1.task_id = 1
squirrel1.move2Pos(food(16).loc-[5,-5],100)
c_id = nearestCache([squirrel1.pos.x,squirrel1.pos.y])
squirrel1.pickFood([str2num(squirrel1.temp_input{2}),[c_id;c_id]],100) |
function LoadWeatherData(filename)
global nummins starttime formatIn formatIn2 formatIn3 inc_min_step offset_time current current_end min_quality
global search_region max_search_time prev_time dataset newdataset step_behind
global indFrictionValue indFrictionQuality ind1PrevDistFriction ind1PrevTimeFricti... |
function microsacc_gui(saccades, eyepos, samplerate, velocity, velocity_threshold, acceleration, staridx)
%-------------------INPUTS----------------------
% saccades numtrials by 1 cell array. Each cell contains a
% numsaccades by 7 matrix of the identified microsaccades
% ... |
function [U, V] = calUV(dato,deltax,deltay, options)
%function [U, V] = calUV(dato,deltax,deltay, options)
%
% Weight calculation
% Uses the fringe pattern gradient
%
% U(:, end) and V(end, :) are forced to zero
% this condition is requiered for unwct3 calculations
EPS0 = options.eps0;
P2 = dato;
P2(:,1:end-1) = dato... |
function allPaths = getShortestPaths(skel, treeIdx)
% allPaths = skel.getShortestPaths(treeIdx)
% Computes the length of the shortest path between each pair
% of nodes in the tree specified by treeIdx.
%
% treeIdx
% Scalar. Linear index of tree.
%
% allPaths
% Sparse and symmetric NxN matrix. Entry allPaths(i, ... |
%% setup
imageSize = [100, 100, 3];
display = displayCreate('CRT12BitDisplay');
prior = load('sparsePrior.mat');
renderMtx = load('periRender.mat');
renderMtx = renderMtx.renderMtx;
%% show image
load('inputLinear.mat');
figure();
for idx = 1 : size(inputLinear, 1)
subplot(2, 5, idx);
image = reshape(inputLi... |
% Initialization of table variables
execut_time1 = zeros(9,1);
execut_time2 = zeros(9,1);
timestep1 = zeros(9,1);
timestep2 = zeros(9,1);
timesize1 = zeros(9,1);
timesize2 = zeros(9,1);
advect_tsz = zeros(9,1);
diffus_tsz = zeros(9,1);
N = [11,21,41,81,161,321,641, 1281, 2561]';
for i = 1:9
[timesize... |
function MatrixInverseBenchmark( testName, doV )
nTrial =10;
if strcmp( testName, 'invSX' )
runinvSX( 250000, [10,20,40,80,160], nTrial, doV );
elseif strcmp( testName, 'invSXT' )
runinvSXT( 250000, [10,20,40,80,160], nTrial, doV );
elseif strcmp( testName, 'invcholSX')
runinvcholSX( 250000, [10,20,40,80,1... |
function tf=gradientCheck(subjectgradient)
% performs a check to make sure the subject was accurate in the test phase
% cat A= 0; B=1;
% turn gradient into a vector
subjectgradient=reshape(rot90(subjectgradient,3),numel(subjectgradient),1);
egs=[1;2;9;10;55;56;63;64];
num=length(egs)/2; %egs per cat
errorCount=... |
function [x, Lerr, smat, xarr]=CddPreKernel(clv,x)
% CDDPREKERNEL computes from (v,x) a pre-kernel element.
% Inspired by Jean Derks, see email from 26/05/2010.
% Source: Meinhardt, 2010.
%
%
% Usage: [x Lerr smat xarr]=CddPreKernel(clv,x)
%
% Define variables:
% output:
% x -- Pre-Kernel element (output)
% ... |
% STA5107 HW7
% Menghan Lin
% 3/12/2021
%% Q1 -------
% (a) Simulate processes xk and yk
A = [1 1;0 1];
B = [1 0];
Gamma = 0.1 * diag([1,1]);
K = 100;
Q = eye(2);
Lambda = 0.1;
x(:,1) = zeros(2,1);
for j = 1:3
for i = 2:K
u = mvnrnd([0,0],diag([1,1]));
w = normrnd(0,0.01);
x(:,i) = A *... |
function [pose] = build_linear_system(pose, radii)
num_points = pose.num_points;
num_centers = pose.num_centers;
I = pose.I;
points = pose.points;
centers = pose.centers;
f = zeros(num_points, 1);
Jc = zeros(num_points, num_centers * 2);
Jr = zeros(num_points, num_centers);
correspondences = cell(num_points, 1);
f... |
%% ELLIPSE - XY coordinate of a parametrically specified ellipse.
%
% [X Y] = ELLIPSE(Z, A, B, ALPHA, NPTS) returns the ellipse coordinates specified
% by Z, A, B, ALPHA (as returned by FITELLIPSE) with NPTS points
% (default: 100).
%
% A, B are positive scalars, Z a 2x1 column vector, and
% A... |
function [ out_img ] = highfreqemphasis_cvip (input_img, filter_type, block_size,cutoff, alfa, keep_DC, order)
% HIGHFREQEMPHASIS_CVIP - Performs high frequency emphasis filtering.
%
% syntax :
% --------
% [ out_img ] = highfreqemphasis_cvip (input_img, filter_type, block_size,cutoff, alfa, keep_DC,order)
%
% ... |
function [ extrap, normtable ] = richardson( A1s, kis, t, exact )
% Perform Richardson extrapolation on approximations A1s.
%
% Input: A1s - Row vector of initial approximation data:
% A1s(1) = A_{1}(h)
% A1s(2) = A_{1}(h/t)
% A1s(3) = A_{1}(h/t**2)... |
function h=vectarrow(p0,p1,handle,color_line,color_head)
%Arrowline 3-D vector plot.
% vectarrow(p0,p1) plots a line vector with arrow pointing from point p0
% to point p1. The function can plot both 2D and 3D vector with arrow
% depending on the dimension of the input
%
% Example:
% 3D vector
% p0 ... |
%DEMO_GEOM2D_IRIS Demonstrate some geom2d functions on Fisher's iris data.
%
% output = demo_geom2d_iris(input)
%
% Example
% demo_geom2d_iris
%
% See also
%
% ------
% Author: David Legland
% e-mail: david.legland@inrae.fr
% INRAE - BIA Research Unit - BIBS Platform (Nantes)
% Created: 2023-04-04, using M... |
% Test for WIENER
% Wy = tf(1, [1 1]); % υΣΤΑΧΛΑ
% Wn = tf(0.2, 1); % πΟΝΕΘΑ
% Wo = tf(1, 1); % οΒίΕΛΤ
% Wt = WIENER(Wy, Wn, Wo);
% => Wt = tf(0.8198, [0.2 1.02]);
Wy = tf(1, [1 1]); % υΣΤΑΧΛΑ
Wn = tf(0.2, 1); % πΟΝΕΘΑ
Wo = tf(1, 1); % οΒίΕΛΤ
Wt = tfnorm(wiener(Wy, Wn, Wo));
Wt
disp('Must be');
Q... |
function trstoploss(t,p,pos,th,ph,thresh)
% trailing stop loss function.
% t,p = time and price sampled half hourly
% pos = position from marisa with N=220, M=25
% th,ph, time and price sampled minutely
% thresh is the stoploss threshold in ticks
N=length(ph);
% make a long vector or positions at the minute ti... |
function fighandle = sazwdisplayprogress(fighandle, figuretitle, systemstate, constants, performancehistory)
% USAGE: fighandle = sazwdisplayprogress(fighandle, figuretitle, systemstate, constants, performancehistory)
%-----------------------------------------------------------------------------
%FOUNDATIONS OF STATIS... |
function addata = stdfidmanip(data,dpts,ph0,ap_type,ap_p1,ap_p2,ap_p3)
%Memory hog. Generates a filter matrix the size of the data set.
%Performs a series of standard manipulations to the data. (no transforms)
% data -> the raw data
%Simple manipulations (Performed first)
% dpts -> drops this number of points from the... |
function VEC = ReadMeasurementVector(filename)
%
fid = fopen(filename,'r');
line = fgetl(fid);
fprintf('Reading vector %s',line);
temp = fscanf(fid,'%i',[1 1]);
fprintf(' of size %i\n',temp);
DATA = fscanf(fid,'%f',[3 temp]).';
fclose(fid);
VEC(DATA(:,1),1) = DATA(:,2)+1i*DATA(:,3); |
function y = fdd(x)
y = 6 * x; |
function drag_patch
%DRAG_PATCH Demo to show how to create patches that can be moved around
%
% Example:
% drag_patch; % runs the code
%
% Author: Joseph Kirk
% Email: jdkirk630@gmail.com
% Release: 1.0
% Release Date: 12/6/07
figure('WindowButtonMotionFcn',@figButtonMotion);
ax = axes;
np = 25; %... |
function y=Check_Diagonal_Dominanace(A)
%Check_Diagonal_Dominanace of rows
[m,n] = size(A);
if m ~= n
error("not squared matrix");
end
for i = 1:m
if abs(A(i,i)) < sum(abs(A(i,:))) - abs(A(i,i))
y=0;
return
end
end
y=1; |
%%
clc
clear
close all
%% Consants
K2a = 0.01; %Nm/A
K3a = 0.01; %V/rad/s
Ra = 1; %ohm
La = 0.5;%H
Ja = 500; %kgm^2
ba = 0.1; %Nms
K2e = 0.01; %Nm/A
K3e = 0.01; %V/rad/s
Re = 1; %ohm
Le = 0.5;%H
Je = 600; %kgm^2
be = 0.1;%Nms
%educated guess:
M_e = 60; %kg
Len_e = sqrt(300); %m
g = 9.81; %m/s^2
%% State v... |
clc
clear all
close all
X = linspace(-20,20,50);
Y = linspace(-20,20,50);
f = @(R,THETA) (-exp(-R)*(R.^2+6.*R+18+24./R)+1./R+(0.5*(3.*cos(THETA)-1))*exp(-R)*(5.*R.^2 +30.*R+360./R+720./R.^2+720./R.^3)-6./R.^3);
[X,Y] = meshgrid(X,Y);
R = sqrt(X.^2+Y.^2);
THETA = atan(Y./X);
V = f (R, THETA);
surf (R.*sin(THETA), R... |
function editbox = uispanedit(varargin)
% Edit box user control with fixed height but spanning width.
%
% This user control automatically takes all available space for width but
% maintains a fixed height when resizing.
% Copyright 2010 Levente Hunyadi
ix = 1;
if nargin >= ix && ishandle(varargin{ix})
parent = va... |
function devlist = getbpmlistbyrack(argin);
%GETIDPMLIST - Return devicelist of BPM in a given cell
%
% OUTPUT
% 1. rack number
%
%
% Written by Laurent S. Nadolski
cellNumber = argin;
elem = family2elem('BPMx');
switch cellNumber
case 1
elem = elem(1:7);
case 2
elem = elem(8:15);
cas... |
function [result] = fitness1(vertices, edge, alpha, beta, gamma, xytilde)
% This function uses to evaluate the fitness function
% compute theta
x = vertices(:,1);
y = vertices(:,2);
n_v = length(x);
n_e = length(edge);
xtilde = xytilde(1:size(x));
ytilde = xytilde(size(x)+1:end);
theta = zeros(size(n_e));
for i = 1:n... |
function [ signal_to_noise ] = single_pulse_snr(probability_of_detection, probability_of_false_alarm)
% Calculate the required signal to noise ratio given a probability of detection and probability of false alarm.
% :param probability_of_detection: The probability of detection.
% :param probability_of_false_ala... |
function [Projection_Matrix] = proj(f)
%相机坐标投影(projection)成图像坐标
%输入参数
% f 相机焦距（数，cm）
%输出参数
% Projection_Matrix 投影成像（矩阵）
Projection_Matrix = [f 0 0 0; 0 f 0 0; 0 0 1 0];
return
|
close all;
clear all;
%load('mat/glm_bic_bms_controls.mat');
%load('mat/glm_bic_bms_nocontrols.mat');
%glm_ix = [1 2 3 4 8];
%load('mat/glm_bic_bms_single_controls.mat');
%load('mat/glm_bic_bms_glm=102_con=theory_change_flag_Num=1_sphere=10.0mm_multiplex.mat');
%load('mat/glm_bic_bms_glm=102_con=theory_change_flag_N... |
%% stk_read_raw_coverage_data2.m
%this function reads in the cvaa coverage access files prodced in stk.
%The input to this function is the filename *.cvaa
%The output is a cell of cells. One cell for each grid point and each cell
%within contains the lat | lon | access start | access stop | access duration
functi... |
clc
clear
close all
%% OPTIONS
options
%% INPUT VALUES
% HUB/TIP RATIO
lambda = 0.62;
% ROTATIONAL SPEED
n = 5300; %rpm
% ROTOR INLET RELATIVE MACH NUMBER @ TIP
M_R1_t = 0.99;
% STATOR FLOW DEFLECTION
V2Tm_V1Tm = 0.5; % Put 0 for axial velocity at stator outlet
% SOLIDITIES
sigma_R_m_design = 1.3;
sigma_S_m_des... |
% Script recording started at : 15-Jan-2016 17:14:03
fullPath = which('pveCorrection');
[BASE, name, ext] = fileparts( fullPath);
TESTDATA = [ BASE filesep 'test_data' filesep];
INPUTS = Parameters( {[ TESTDATA 'Test_puck_gaussian3D_FWHM=11.75mm.mat']} );
imlook4d_current_handle = Open(INPUTS{1}); % Handle to ... |
function q = qinv(p)
% QINV quaternion inverse
%
% Q = QINV(P) returns a quaternion Q which is the quaternion inverse of
% quaternion P.
% - P is a quaternion. It is a 4-vector or a 4*N array (column i
% represents quaternion i) where N is the number of quaternions.
% - Q is the quaternio... |
function [f, g, h] = reg_LL(data, x, C, theta)
% computes objective function and it's gradient with
% given parameters.
% objective function = - (log-likelihood - regularizer)
% like probability = sigma(theta1*s + theta2*a + theta3)
m = length(data);
f = 0;
g = zeros(size(x));
h = zeros(si... |
% for minimum reflux ratio
global yA_arr
xe = 0:0.01:1;
ye = yA_arr;
% up, Bottom and Feed mole fractions are equal to 85 % mol, 5 % mol
% and 30 % mol respectively.
xu = input('up mole fraction');
xb = input('bottom mole fraction');
zf = input('feed mole fraction');
R = input('Reflux ratio');
% Reflux ratio is equ... |
function [A] = adjacency_radius(xy,r)
%--------------------------------------------------------------------------
%
% Copyright (c) 2009-2011 Jeffrey Byrne
%
%--------------------------------------------------------------------------
%% Neighborhood radius
n = size(xy,1);
d = sqrt(sqdist(xy',xy')); % lightspeed
A = z... |
data=X';
thr=15;
L=25;
censoredornot=0; %=1 if you want censoring otherwise set it to 0
t=1;
msteps=10;
stepsize=0.2;
begin=0;
[logsigma,dim_norm] = diffusion_map_kt(data,censoredornot,thr,thr,thr+L,begin,msteps,stepsize);
[dim_max,id]=max(dim_norm); %find local maxima
sigma=10^(logsigma(id));
%%%%%%%%%%%%%%%%%%%%%... |
function [c, cPol, cellSize] = createCellOffsets(type,gn,gr,support)
%CREATECELLOFFSETS Create cell offsets
switch type
case 'square window'
x = 0:2*gn:gr(2)/2-3*gn-2;
x = [-x(end:-1:2) x];
y = 0:2*gn:gr(1)/2-3*gn-2;
y = [-y(end:-1:2) y];
c = [repmat(x,[numel(y) 1]) repmat(y... |
function [HH,MM,SS]=GMST(yy,mm,dd,hh,min,sec)
GM=mod(18.697374558+24.06570982441908*...
(G2JD(yy,mm,dd,hh,min,sec)-G2JD(2000,1,1,12,0,0)),24);
HH=floor(GM);
FM=(GM-HH)*60.0;
MM=floor(FM);
SS=(FM-MM)*60.0;
end |
function tSignal = GetMeasuredRadiationSignal( tConverter, strFilepath )
%
aafRawData = load( strFilepath );
%
tSignalsIDs = Signal.GetSignalsIDs();
tDevicesIDs = Signal.GetDevicesIDs();
%
tSignal = Signal();
tSignal.Set( ...
tDevicesIDs.iSLBWeatherForecast, ...
tSignalsIDs.iExternal... |
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% function [outPixels, meanDiff, stdRatio] = recolorReinhard(srcPixels, tgtPixels, doLab, alphaMean, alphaVar)
% Recolors an object put inside an image according to the recoloring technique by Reinhard et al.
% Lab space used instead of origi... |
clear all, close all
addpath('Batch 11')
addpath('Batch 12')
addpath('Batch 13')
addpath('Batch 14')
num = 196;
[fPrior, prefs, context, samples] = humanFeedbackRobotHandover();
disp(['context: ', num2str(context(num-16))])
jani = dlmread([num2str(num), '.txt']);
posX = jani(:, 15);
posY = jani(:, 16);
posZ = jani(:, ... |
%% CVEP SPELLER
% runs the cvep speller simulation in 3 configurations:
% 1) original beta stopping cvep speller
% 2) modified predicted gaze prior + beta stopping cvep speller
% 3) modified idealized gaze prior + beta stopping cvep speller
%% RESET + LOAD LIBS
restoredefaultpath;
clear variables;
close... |
function [r1,r2] = squarecube(x,y);
r1=x*x;
r2=y^3; |
function [] = writevtk3D(X,Y,Z,Ux,Uy,Uz,Pr,filename)
% writevtk3D saves a 3D vector/scalar array in VTK structured format.
[Nxt,Nyt,Nzt]=size(X);
fid = fopen(filename,'w');
fprintf(fid,'# vtk DataFile Version 3.0\n# Velocity/pressure data\nASCII\n');
fprintf(fid,'DATASET STRUCTUR... |
function [avPh, Ka] = AvancePhaseBode1(FTBO, PMd, wgd, marge)
% Retourne le compensateur avance de phase pour la fonction de transfert
% FTBO
% param: FTBO - la fonction de transfert à compenser
% param: PMd - la marge de phase désirée
% param: wgd - la fréquence de traverse en gain désiré
% param: marge - l... |
function tf = checkPixelRes(lp)
if isfield(lp,'pixelRes')
tf = lp.pixelRes;
else
tf = 0;
end
|
clear
clc
close all
filename = '100g_5cycles_parallel_no_header.csv';
num100p = csvread(filename);
time_100p_raw = num100p(:,1);
disp_100p_raw = num100p(:,2); %this is in mm
rot_100p_raw = disp_100p_raw/3*180/pi;
temp_amb_100p_raw = num100p(:,3);
temp_100p_raw = num100p(:,4);
%This gets all the data on 0.01 dt
time_... |
% This script takes your SST output and checks to make sure there are no
% strange responses. You will get a bunch of output files of the form N x R
% (N subjects, R runs) telling you how many go trials per run (should always be
% the same number, say, 96) how many stop trials (should be 32)
% and importantly:
% how ... |
function [] = sphereworld_plot(world, xGoal)
%Plot the Obstacles in world (uses the definition of world defined in HW)
%world - Structure defined in HW, contains fields rSphereAll, xSphereAll,
%and rInfluenceAll.
%Plot the obstacles
sphere_plot(world.xSphereAll,world.rSphereAll)
%Plot the sphere of influence of each ... |
function procpar_vars = load_procpar(fid_dir)
% load_procpar.m
% msb dec 5 2006
% loads variables from procpar into two cell arrays of structures.
% each cell contains a name and an array of cells of values.
% Some of the vars are numeric and some are strings,
% so the data structure has to hold arrays of nums
... |
function potential_func = make_potential_BoB(center_point, radius, point_spacing)
% Construct the potential field for the BoB
base = @(x, y) log(sqrt(x.^2 + y.^2));
potential_func = @(x, y) 0;
for theta = linspace(0, 2*pi, round(2*pi*radius / point_spacing))
x_point = radius*cos(theta... |
function varargout = UserDataForm(varargin)
% Last Modified by GUIDE v2.5 09-May-2017 20:59:44
% Begin initialization code - DO NOT EDIT
gui_Singleton = 1;
gui_State = struct('gui_Name', mfilename, ...
'gui_Singleton', gui_Singleton, ...
'gui_OpeningFcn', @UserDataForm_Ope... |
function [dispers]=dispersionCalc(vP1,vS1,d1,vP2,vS2,d2,vP3,vS3,freq,layers)
%
% Solves for Ralyeigh wave dispersion curve given a set of P and S wave
% velocities and depths for two or three layer models.
%
% [dispers]=dispersionCalc(vP1,vS1,d1,vP2,vS2,d2,vP3,vS3,freq,layers)
% Solve for Rayleigh wave phase velo... |
% function printsrcdata(srcdata,srcfile)
%
% Prints all input-cards from the source-struct in matlab
% to ASCII-file in Polca-input format
%
function printsrcdata(srcdata,srcfile)
[cards file]=getcardsbwr();
fid1=fopen(['reac_',srcfile],'w');
fid2=fopen(['fuel_',srcfile],'w');
for i=1:size(cards,1);
card=rembla... |
mynewton('f_ex57', 'df_ex57', 2, 1e-12, 10)
mynewton('f6', 'df6', 1.2, 1e-12, 10)
|
function Cd_nose = C_d_nose(mach_num, vehicle)
if mach_num < 1
Cd_nose = 0;
else
Cd_nose = 3.6/(vehicle.AR_N*(mach_num-1)+3);
end
end
|
function C = covMatrix(sig,L,dx,n)
C = zeros(n);
for kk =1:n
for ii=kk:n
C(ii,kk) = sig^2*exp(-0.5*((ii-kk)*dx/L)^2);
C(kk,ii) = C(ii,kk);
end
end
|
function state = plotPop(options,state,flag)
ax=gca;
ax.YTickLabel={'1','2','3'};
ax.YTick=[1.5 2.5 3.5];
ax.XTickLabel={'1','2','3','4'};
ax.XTick=[1.5 2.5 3.5 4.5];
grid on;
scatter(state.Population(:,2),state.Population(:,1))
xlim([0.5 4.5]);
ylim([0.5 3.5]);
title(['Generation:',num2str(state.Generation)]);
% s... |
function [correlation] = average_correlation(var_1, var_2, weighted)
% This function finds the average correlation between two variables within local clusters.
% By default it computes the average weighted by the number of observations in each cluster.
%
% Input:
% ------------
% - var_1
% a cell array of the... |
%% 2D Interpolation
% two independent variables and one (or multiple) dependent variables. In
% general we can interpolate multidimensional data.
% unlike 1D interpolation where the spaceing between data didn't matter, as
% long as it was strictly monotonic, for the built in "interp2" funcion,
% **all of the dat... |
clc;
clear all;
x=[.5,1,1.5,2,2.5,3,3.5,4,4.5,5,5.5,6,6.5,7];
y=[173,284,310,439,485,520,605,699,728,735,790,801,840,850];
[theta,theta1] = meshgrid(-1000:1:1000);
for i = 1:2001
for j = 1:2001
Z(i,j)=sum((theta(i,j)+theta1(i,j)*x-y).^2)/(2*length(x));
end
end
figure(1) ;
mesh(theta,theta1,Z)... |
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% Eigenfaces: TEST CODE
%
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% Based on the formulation of the eigenfaces method presented in [1]
%
% Use the Yale database
%
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%... |
function [labels] = gmm_cluster(X, Priors, Mu, Sigma, type, softThresholds)
%GMM_CLUSTER Computes the cluster labels for the data points given the GMM
%
% input -----------------------------------------------------------------
%
% o X : (N x M), a data set with M samples each being of dimension N.
% ... |
%% Set-up
close all
% clear all
% try
% parpool();
% catch
% end
props = java.lang.System.getProperties;
props.setProperty('mail.smtp.port', '587');
props.setProperty('mail.smtp.auth','true');
props.setProperty('mail.smtp.starttls.enable','true');
setpref('Internet','E_mail','mprossmatlab@gmail.com');
setpref('I... |
function result = InverseEllipticNome( Q )
%INVERSEELLIPTICNOME Elliptic modulus function.
% INVERSEELLIPTICNOME(Q) is the elliptic modulus of the elements of
% nome Q. Elements of Q must all be real and are limited to the
% interval [0,1].
%
% INVERSEELLIPTICNOME is a wrapper function which mimics the ele... |
function metrics = get_all_metrics(score_mat, tst_lbl_mat, inv_prop)
%{
Author: Yashoteja Prabhu ( yashoteja.prabhu@gmail.com )
%}
%% Inputs:
%% score_file: test label scores matrix file in sparse format
%% tst_lbl_file: test label ground truth matrix file in sparse format
%% sizes of matrices in score_file and ... |
% Chapter 2: Figure 1
% Model scenarios of Estonia and Spain, under natural conditions and with
% supplemented feeding
clearvars
options = odeset('Refine',1, 'RelTol',1e-5,'AbsTol',1e-5,'NonNegative',1:8);
%Ode solver tolerances and restrictions
y0 = [0.796, 1.2, 0.002, 0.002... |
function info = make_info(depid,tagtype,species,owner)
% info = make_info(depid,tagtype,species,owner) % make an info structure
% or
% make_info % shows a list of recognized tags, species and researchers
%
% Valid: Matlab, Octave
% markjohnson@st-andrews.ac.uk
% Last modified: 2 March 2018
%... |
function data_der=invder(data)
% data_der=invder(data)
% inverse 2nd derivative for making data2 matrix for simplisma
% written by K.Artyushkova
%7/7/1999
[n,m]=size(data);
[data2,cm] = savgol(data,17,3,2);
data_der=(-1)*data2;
for i=1:n
for j=1:m
if data_der(i,j)<=0,
data_der(i,j)=0;
... |
%%
%%
%%
%%
function init_species = InitSpecies();
%%
%%
m = 3/5; % 3/5
InitGi = m * 15 ;
InitD2R = m * InitGi ./30 ;
InitGbc = m * 10;
InitAC = m * InitGi ./30 /2 ;
InitRGS = m * (InitGbc+InitGi) / 2 /5;
InitGolf = 0.8;
% InitGolf = 1.0;
%%
% InitGolf = 0.5;
% InitRGS = InitRGS ./ 3... |
%MPB: A modified Poisson blending technique
%Read the paper: http://link.springer.com/article/10.1007/s41095-015-0027-z
%Citation:
%@article{
%year={2015},
%issn={2096-0433},
%journal={Computational Visual Media},
%doi={10.1007/s41095-015-0027-z},
%title={MPB: A modified Poisson blending technique},
%url={ht... |
%%%%%% Example graph 1
dataset1_path = "datasets/example1.dat";
% keigenvector(dataset1_path, 2);
% keigenvector(dataset1_path, 3);
keigenvector(dataset1_path, 4);
% keigenvector(dataset1_path, 5);
% keigenvector(dataset1_path, 6);
%%%%%% Example graph 2
dataset2_path = "datasets/example2.dat";
keigenvector(dataset2_p... |
function prob = getGlobalLBProbList( p, segCubeIdx )
%GETGLOBALLBPROBLIST Load lb probabilities.
% INPUT p: Segmentation parameter struct.
% segCubeIdx: (Optional) Integer vector of segmentation cube linear
% indices for which the edge list is loaded.
% (Default: All cubes in p... |
function fval = pendulumFitFunction(t,y,params)
% pendulumFitFunction : returns the fit value of pendulum model to
% experimental data (t,y)
% Copyright 2008-2009 The MathWorks, Inc.
% Predicted motion
[tout, yout] = pendulumDE(t,params(1),params(2));
% Fitness value
fval = norm(y - yout(:,1));
|
function process_data()
% clc;
% close all;
% clear;
set_matlab_utils_path();
load('data/data.mat','Data');
N = length(Data);
N_kernels = 10;
a_z = 16;
b_z = a_z/4;
train_method = 'LWR';
dt = 0.01;
canClockPtr = LinCanonicalClock();
Data_sim = cell(N,1);
for n=1:N
data = Data{n};
Timed = data.... |
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