text stringlengths 8 6.12M |
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% cleanup routine
clear screen
ShowCursor
if expmnt.useEyeTracker == 1
Eyelink('ShutDown');
end
clear mex
|
% Computational Inteligence I - Final Script
%
% 5-fold Cross-Validations and Visualizations of Results
% keep('Results');
clear all;
close all;clc
epVal=10.^linspace(2,4,3);
lrVal=linspace(.1,.9,3);
mcVal=linspace(.1,.9,3);
Results=cell(28,12);
Results{1,1}='epochs';
Results{1,2}='learning rate';
Re... |
% This file is aim to select the bigger information frame from all
% the frames.To do this,there has three steps to do:
%
% 1、select all frames of an object.This used A、B、C status.
% 2、Delete the unsuitable frame,such as the beginning frame which has the
% gap.
% 3、Choose the frame which has more information to rec... |
function id = uffind(field, varargin)
%UFFIND Find UF Collection instances.
% ID = UFFIND(FIELD, VARARGIN) returns the list of IDs matching the
% search criteria. FIELD is the field name to search on. VARARGIN
% contains the list of values to match. Currently supported fields are
%
% ID = UFFIND('kind... |
% Example script for basic Kohonen map algorithm.
clear all
% close all
data = dlmread('data.txt'); % read in data
labels = dlmread('labels.txt'); % read in labels
name = 'Frédéric Ouwehand'; % REPLACE BY YOUR OWN NAME
targetdigits = name2digits(name); % assign the four digits that should be used
digitstor... |
function p = normcdfO ( t )
%normcdfO: Computes the cummulative Gaussian distribution at a specified
%point of interest
% normcdfO: A different function from Matlab's normcdf. Here 'O' is used to
% differentiate these two functions
sqrt2 = 1.4142135623730951;
p = (erfcO (-t / sqrt2)) / 2.0;
end
|
function nframes = getNFrames(this)
% getNFrames Returns the number of frames in the object.
%
% nframes = getNFrames(obj) returns the number of frames
% within the object or the array of object in argument. For his
% default method (@multipagedrawable), it simply returns the number
% of objec... |
%[4-2] ADD
function [z1,z0,cout1,cout0] = fourbitadder_int(x1, x0, y1, y0, cin1, cin0)
%cin_vec=zeros(5); cout_vec=zeros(5); carry=zeros(5); sum=zeros(5);
z1=zeros(1,5); z0=zeros(1,5);
z0(5) = cin0; %Original t_j+3 = Z_j+3_minus
cin_vec(5) = cin1; %hj+3
%64-bit parallel online ... |
function dz = forwardstart(w,p,z,param)
%CONVWF.FORWARDSTART Propagate derivative from weight to weighted input
% Copyright 2012-2015 The MathWorks, Inc.
[S,Q] = size(z);
M = length(w);
mframe = 0:(M-1);
pt = p';
dz = zeros(S,Q,M,'like',p);
for i=1:S
dz(i,:,:) = pt(:,i+mframe);
end
end
|
function flag = nntwarn(cmd)
%NNTWARN
%
% Syntax
%
% nntwarn on
% nntwarn off
%
% Description
%
% NNTWARN allows Neural Network Toolbox warnings to be temporarily
% turned off.
%
% Code using obsolete Neural Network Toolbox functionality can
% generate a lot of warnings. This function allows you to... |
function D = dist(C, im, r1, c1, S, m)
% Squared spatial distance
% ds is a fixed 'image' we should be able to exploit this
% and use a fixed meshgrid for much of the time somehow...
[rows, cols, chan] = size(im);
[x,y] = meshgrid(c1:(c1+cols-1), r1:(r1+rows-1));
x = x-C(4); % x a... |
function range_average(file_in,file_out,start,stop,range,samples)
#output_points=int32(samples)
resample_x=linspace(start,stop,samples);
resample_y=[];
X=load(file_in);
temp_x=X(:,1);
x=temp_x';
temp_y=X(:,2);
y=temp_y';
first_x=x(1);
last_x=x(end);
count=int32(0);
fid=fopen(file_out,'w');
for i=1:length(resample_x)
el... |
function [output1] = Jb_Pelvis(var1)
if coder.target('MATLAB')
[output1] = Jb_Pelvis_mex(var1);
else
coder.cinclude('Jb_Pelvis_src.h');
output1 = zeros(6, 20);
coder.ceval('Jb_Pelvis_src' ...
,coder.wref(output1) ...
,coder.rref(var1) );... |
function [NetParams, GDparams] = SGD_Momentum(grads, NetParams, GDparams)
layers = length(NetParams.W);
fn = fieldnames(grads);
for j = 1:length(fn)
for i = 1:layers
% GDparams.v_t{j,i} = GDparams.gam * GDparams.v_t{j,i} + GDparams.eta*grads.(fn{j}){i};
GDparams.v_t{... |
%% CHARLIE JIANG
% SSCP | Sunwhale
% Run WSC route with Luminos altered for various concentrator/array charging
% configurations and plot the performance impacts, benchmarked against actual Luminos.
clc; clear; close all;
cd('Z://sscp//sunbad//strategy//LuminosModels')
% Night/morning array standing is equivalent to ... |
function [mpiFV fpiFV report] = FSE_GL(mpiV,fpiV,aF0,L,print,rev)
mm=[6 12 8 6 24 24 0 12 30 24 24 8 24 48 0 6 48 36 24 24];
mm4=4*mm;
Nf=2;
x=(mpiV./(4*pi*aF0)).^2;
lambda_pi = mpiV .* L;
z = sqrt([1:20]')*lambda_pi;
g1=mm4 * (besselk(1,z)./z);
%g1=mm4 * (sqrt(pi./(2*z)) .* exp(-z) ./ z);
Rmpi=x .* g1 /(2*Nf);
Rfpi=-... |
function z = marker(fname,method)
%MARKER Creates a marker element in old AT version (Obsolete)
%MARKER('FAMILYNAME','METHOD')
% creates a new family in the FAMLIST - a structure with fields
% FamName family name
% Length is set to 0 for marker type
% PassMethod name of the function on disk to use for ... |
function Out=MultiConcat(A,B)
if(iscell(B))
for i=1:length(B)
Out{i}=[A B{i}];
end
else
for i=1:length(A)
Out{i}=[A{i} B];
end
end |
function GA
clear all
close all
clc
set(0,'DefaultFigureWindowStyle','normal');
global cut Mpay Udes DEBUG g0 Isp type test finalName
global PATH POP fTEST scalingGain fGain
global ALLbool MVECbool DELVbool COSTbool
global W
global Fit P
PATH = 'C:\Users\Bruno\Google Drive\TG\Codigo\Main\Data\';
test = struct('Nmin'... |
classdef HMMModel2 < handle
properties(SetAccess=private)
transProb,
emitProb,
initProb,
cachedAlpha,
cachedBeta,
isCache,
end
properties(Dependent)
nStates,
nObserve,
end
properties(Constant)
ITER_TOLERENCE = 1e-... |
% PDF,frequency
clear
clc
%data_path='/Users/hcq/workspace/MCS/Result/run_globalTropical_86-05_1exp3/';
%output_path='/Users/hcq/workspace/MCS_2016_private/data/';
data_path='/home/hxm_stu/WORK1/hcq/MCS/Result/run_globalTropical_86-05_1exp3/';
output_path='/home/hxm_stu/WORK1/hcq/MCS/data/';
% record_name = 'record_tra... |
% load game identity kernel based on GLM 1
%
function [ker, features] = load_game_kernel(EXPT, subj_id)
game_names = get_game_names_ordered(subj_id);
[ker, features] = load_GLM_kernel(EXPT, 1, subj_id, game_names, false);
end
|
%%********************************************************************
%% genSDPdata: generates the SDP corresponding to the BSOS hierarchy
%%
%% F: objective polynomial
%% G: a cell array containing the constraint polynomails
%% dd: the degree of Lagrangian dual relaxation
%% kk: the degree of SOS relaxation
%%... |
% GMMB_EM_INIT_CMEANS1
%
% initS = gmmb_em_init_cmeans1(data, C)
%
% Create an initialization structure for EM,
% called from gmmb_em, see gmmb_em.
%
% C-means clustering means, uniform weight and covariance
%
% Author(s):
% Pekka Paalanen <pekka.paalanen@lut.fi>
%
% Copyright:
%
% Bayesian Classifi... |
function varargout = setParams(self, varargin)
% Set parameters of this MoDT object
% setParams(self, ...)
%
% Unless otherwise specified, all of the publically-accessible properties of an
% MoDT object can be set using this function.
%
% New values can be specified as key/value pairs:
% >> modt_obj.setParams('mu',... |
% Version : 4.10
% Author : Dano Bagus
net = network;
% ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
%
% This function creates a feedforward neural network with 100
% neurons in the input layer and 1 neuron in the output layer.
% to study more about how to create a network like this see h... |
clearvars
clc
rho=7800; % density 7800 kg/m^3
G = 0.8e11; % in N/m^2
d = 0.03; % diameters of shafts in m
nele = 6; % no. of elements
connect = [1 1 2; %% First Column is element number
2 2 3
3 3 4
4 4 5
5 5 6
... |
%ChooseMotherWavelet
motherWavelet='bior1.1';
CWTScale=8;
% ----------------------------------------------------------------
% Path
fileMotherPath='Test-source/';
SourcePath='Transparent/2';
outPutDataPath=strcat('Data/',SourcePath,'/');
if ~exist(outPutDataPath)
mkdir(outPutDataPath)
end ... |
function y = cdiff2(f, x)
h = eps( )^(1/4)*max(1, abs(x));
y =(f(x+h) - 2*f(x) + f(x-h)) ./ h.^2;
end
|
function savegeo(obj,outputFilePath,varargin)
%SAVEGEO dumps the geometry into an ASCII file, using the Gmsh syntax.
% SAVEGEO('file.geo') dumps the geometry in file named file.geo.
%
% SAVEGEO('file.geo','option1',val1,'option2',val2,...) set name-value
% arguments for meshing option. The available options are th... |
function [h] = plot_gp_variance_2d(limits, gp_handle, train_inputs)
nx = 400; ny = 400;
axlim = limits;
ax_x=linspace(axlim(1),axlim(2),nx); %computing the mesh points along each axis
ax_y=linspace(axlim(3),axlim(4),ny); %computing the mesh points along each axis
[x_tmp, y_tmp]=meshgrid(ax_x,ax_y); %meshing the input d... |
%{
% pseudo-data setting
t=-pi:.01:pi;
x=sin(t);
y=cos(t);
xn=.05*randn(1,629);
yn=.05*randn(1,629);
x=x+xn;
y=y+yn;
% additional data for objective function
mydata.x=x;
mydata.y=y;
ds(1,'circlefit',mydata,10,3,-10,10,2000)
plot(x,y,'o','markersize',2);
hold on
plotcircle(globalminimizer(1),... |
function [C,R] = weiss2(T,I)
%WEISS2 Estimate rheobase and chronaxie based on 2 thresholds and Weiss's law
% [C,R] = weiss2(T,I)
C = (I(2)-I(1))/(I(1)/T(2)-I(2)/T(1));
R = I(1)/(1+C/T(1)); |
function [ im ] = seam_carveA( im, m, alpha, Gmag_flag )
%SEAM_CARVEA Seam carving using A* approach on A GMAG IMAGE
% Detailed explanation goes here
plot_flag = 1;
if ~Gmag_flag
im2 = rgb2gray(im);
im2 = im2double(im2);
[Gx, Gy] = imgradientxy(im2);
[Gmag, ~] = imgradient(Gx,Gy);
else
im2 = rgb2g... |
function [psnr]=psnr(A, B, MAX, Q)
%A = A / Q;
%B = B / Q;
%d = sum((A(:)-B(:)).^2) / numel(A);
%psnr = 10*log10((MAX*MAX)/d);
B = B * Q;
MSE = mean2((A-B).*(A-B));
psnr = 10*log10(MAX^2/MSE);
end
|
function cancerStudies = getcancerstudies(cgdsURL, varargin)
%GETCANCERSTUDIES Get cancer studies from the cBio CGDS portal.
% A = GETCANCERSTUDIES(cgdsURL) loads a list of available cancer types
% into A. cdgsURL points to the CGDS web API, typically
% http://www.cbioportal.org/public-portal/.
%
% The func... |
function [tNew, stateNew] = equidistantializer(t,state, nSteps)
tNew = linspace(min(t),max(t),nSteps);
stateNew = spline(t,state.',tNew);
stateNew = stateNew.'; |
function mag = k_quat_mag(q)
% Quaternions are w x y z, active.
% Magnitude of a quaternion.
q_norm = k_quat_norm(q);
mag = 2*acos(q_norm(1));
end
|
function [flag, der1, der2] = AlterBsplineType(pts, p, ctrl, knots, curveParameter, ce )
% Determine which one of the six middle control points should be altered.
% After knot inserting, each curve parameter in the knot vector has a multiplicity of the
% degree, which means the curve point at the parameter is one of th... |
clc
clear all
%% Batch Oja rule
% tutorial 7-7
%
% input=[[-5;-4],[-2;0],[0 ;-1], [0; 1], [3 ;2],[4; 2]] % input x---------
% N=size(input,2); %number of input vector
% x_mean=[sum(input(1,:))/N;sum(input(2,:))/N]; % mean of x
%
% zero_mean_x = input-x_mean; % turn inout into 0 mean data
% w = [-1,0]; % initial we... |
function [gmdmproduct] = y_gmdmp(tensor1, d1, tensor2, d2)
%GMDMP General Multi Dimensional Matrix Product.
%C = GMDMP(A, d1, B, d2) Computes the product
%C(i[1],...,i[d1-1],i[d1+1],...,i[m],j[1],...,j[d2-1],j[d2+1],...,j[n]) =
% A(i[1],...,i[d1-1],k,i[d1+1],...,i[m]) * B(j[1],...,j[d2-1],k,j[d2+1],...,j[n])
%(Sum ... |
clear all ;close all ;
subs = {'alex','charest','esteban','fabio','gab','gabriella','genevieve','gina','guillaume','jeremie','julie','katrine','lisa','marc',...
'marie','mathieu','maxime','mingham','patricia','po','russell','sunachakan','tah','vincent'} ;
flips = [1,0,0,0,0,1,1,1,1,0,0,1,1,0,0,1,1,0,0,1,0,1,0,... |
% Fold data, assuming dim1 is time.
function [out_data] = fold_data(in_data, is_stag_baryon)
parse_Nt = size(in_data, 1);
connected = in_data;
if (~exist('is_stag_baryon', 'var'))
is_stag_baryon = 0;
end
for t=2:(parse_Nt/2)
if (is_stag_baryon == 1)
connected(t,:) = (connected(t,:)+(1-2.*r... |
function y = testFunction(x)
y= x^2; |
clear;
clc;
start=clock;
id=1;
switch id
case 1
Da='4k2_far-d2.txt'; % 4-400
case 2
Da='iris-d4.txt'; % 3-150
case 3
Da='yeast-d7.txt'; % 5-384
case 4
Da='pima-indians-diabetes-d8.txt'; % 2-768
c... |
function [totalCost,imOut] = intelligentResize(imInput,v,h,W,mask,maskWeight)
% Function increaseWidth
% Inputs iminput(m*n*3) - 3-channel colored image
% v - the number of vertical seams to process v,
% h - the number of horizontal seams to process h
% W - the weight vector W for... |
clear all
files_in.partition = '/Users/AngelaTam/Desktop/adsf/ct_basc/adsf_basc_ct_20160316/msteps_part.mat';
files_in.data = '/Users/AngelaTam/Desktop/adsf/structure_data/cortical_thickness/thickness_files_bl_vertex_20150831/preventad_civet_vertex_bl_20160216.mat';
files_in.model = '/Users/AngelaTam/Desktop/adsf/mode... |
clc
clear
close all
% creat data
%
% Linear
ooo = ones([50, 1]);
moo = zeros([50, 1]) - ooo;
yt = [ooo;moo];
xt = zeros([100, 2]);
for i= 1:50 %y > x
xt(i, 1) = i;
xt(i, 2) = (50 - i) * rand + i + 1;
end
for i= 1:50 %y < x
xt(i + 50, 1) = i;
xt(i + 50, 2) = (i - 1) * rand;
end
%%Circuit
% xt = zer... |
function LOSpoint = FindLOSpoint(wp_k,wp_k1,vessel_pos,R)
%FindLOSpoint(wp_k,wp_k1,vessel_pos,R) finds the crossing point between the
% line formed by the waypoints (wp_k and wp_k1) and the circle centered in
% (vessel_position) with a radious (R).
LOSpoint=wp_k1;
LOSpoint1=wp_k1;
LOSpoint2=wp_k1;
slope=(wp_k1(2)-wp_k... |
function [lpeig,apeig]=fft2e(xref,x,Ts)
Xref=fft(detrend(xref));
X=fft(detrend(x));
nmin=round(0.3*Ts*length(xref));
nmax=round(0.7*Ts*length(xref));
[xxref,ixref]=max(abs(Xref(nmin:nmax)));
ixref=ixref+nmin-1;
lpeig=X(ixref,:);
apeig=Xref(ixref);
%@(#) fft2e.m 1.1 03/08/26 08:02:52
|
function [Nonblockingness] = Nonblockingness(Pre,Post,M0,Te1,w,k)
% __________________________________________________________________________________________________________________________________
%| ... |
function [x,n] = shift(y,n1,n0)
x = y;
n = n1-n0;
end |
function [y] = exp_wlimiter(x)
%%
% Created by Kyle Gorkowski [LAPTOP-A4QKFAC8] on 2018-Oct-31 4:58 PM
% Copyright 2018 Kyle Gorkowski
%%
ulimiter=690.7755;%log(10^300);
llimiter=-690.7755;%log(10^-300);
% force upper limit
upperlimit=x>ulimiter;
x=x.*not(upperlimit)+upperlimit.*ulimiter;
% force lower... |
%% 语音信号谱估计 参数化方法
clc,clear,close all;
%% 读取语音信号
ReadAudio = audioread('Test.m4a');
InputSignal = ReadAudio;
SignalLength = length(InputSignal);
InputSignal = InputSignal - mean(InputSignal);% 零均值处理
%% Yule-Walker方程求AR模型系数向量
[a1,~] = yulewalker(InputSignal,20);
PSD_YWAR = argamse(1,a1,1024);
%% 最小二乘法求AR模... |
function [extra_edges,missing_edges,precision,recall,skeleton_F1_score]=...
learning_errors(A,B)
A = (A+A')>0;
B = (B+B')>0;
skeleton_errors = B-A;
extra_edges = nnz(skeleton_errors>0)/2;
missing_edges = nnz(skeleton_errors<0)/2;
precision = nnz(A.*B)/nnz(B);
recall = nnz(A.*B)/nnz(... |
function Get_group_avg(myDataDir, n_subject, n_trial, tasks)
%myDataDir = '/NAS/home/kh_guy/Capstone/Brainstorm/brainstorm_db/shin_worload/data';
%n_subject = 26;
%n_trial = 9;
%tasks = {'0-back_session', '2-back_session','3-back_session'};
for i_task = tasks
sFiles = {};
task_name = char(i_task);
... |
function [Y,DY,DDY] = ControllerOutput(VirtualCon, rbm, phi, dphi, d2phi, parameterization_type)
arguments
VirtualCon (1,1) VirtualConstraint
rbm (1,1) DynamicalSystem
phi (:,1) casadi.SX
dphi (:,1) casadi.SX
d2phi (:,1) casadi.SX
parameterization_type (1,:) {mustBeMember(parameterization_type... |
function result = simreadcell(cellnumber)
result = 0;
motionobject = getMotionObject();
if isempty(motionobject)
error('No Simulation Motion object started!!!');
else
result = motionobject.readcell(cellnumber);
end
end |
function [ newS ] = scaleAllResults( S, Scaling )
newS = S;
for i = 1:length(newS)
%dispstat(sprintf('Scaling Surfaces %i,%i\r',i,1));
newS{i}{1}.surfacesS = scaleSurfaces(S{i}{1}.surfaces, Scaling.AppliedEField);
newS{i}{1}.plots3Ds = scalePlots3D(S{i}{1}.plots3D, Scaling.AppliedEField);
end
for... |
% downsample densely skeletonized k0725 cube.
% this cube was initially intended as seeds for contouring, using for efpl validation also.
%skelin = '/Data/datasets/skeletons/k0725_contourcube_cube_8to9_9to10_3.055.nml';
%skelout = '~/Downloads/k0725_contourcube_cube_x4_y4o64_z3_dsx2y2z1.055.nml';
skelin = '/Data/data... |
function [F, Jc, Jr] = compute_energy6(centers, radii, tangent_blocks, tangent_spheres, verbose)
D = length(centers{1});
%% Compute projection on the triangle plane
F = zeros(D * length(tangent_blocks), 1);
Jc = zeros(D * length(tangent_blocks), length(centers) * D);
Jr = zeros(D * length(tangent_blocks),... |
function im_rec = tomo_recon_sart_im(im, angles, n_it)
%TOMO_RECON_SART_IM Tomographic reconstruction using SART method.
%
% Phymhan
% 09-Aug-2013 09:16:25
if nargin < 3
n_it = 100;
end
siz = size(im);
[W, p, ~, ~] = buildWeightMatrix(im,angles);
f = sart_solve(W,p,n_it);
im_rec = reshape(f,siz);... |
function v_t=DM_Derived_game(clv,x)
% DM_DERIVED_GAME computes from (v,x) a modified Davis-Maschler reduced game vS on S at x for
% game v.
%
% Source: H. I. Meinhardt. The Modiclus Reconsidered. Technical report, Karlsruhe Institute of Technology (KIT), Karlsruhe, Germany,
% 2018. URL http://dx.doi.org/10.13... |
function [idx,IsEst]=GetConsistentCorrespondences(Grid3D,Pts,Rad3D,StrLBoxPad,BackProjThresh,Cams,ScaleMargin,KeyP,KeyScale,Points)
p1=KeyP;
[Mean,Var,IsEst]=Get3DGridEst(Grid3D,Pts,Rad3D,p1(1),p1(2));
if(IsEst)
Var=Var+StrLBoxPad;
Q=Mean*ones(1,8)+[Var(1)*[-1 1 -1 1 -1 1 -1 1];Var(2)*[-1 -1 1 1 -1 -1 1 1];Var... |
clc;
clear all;
close all;
figure(1);
hold on;
lb = 1;ub = 2;%自变量取值范围[1,2]
ezplot('sin(10*pi*X)/X',[lb,ub]);%画出函数曲线
xlabel('自变量X')
ylabel('因变量Y')
%%定义遗传算法参数
NIND = 40;%种群大小
MAXGEN = 20;%最大遗传代数
PERCI = 20;%个体长度
GGAP = 0.95;%代沟
px = 0.7;%交叉概率
pm = 0.01;%变异概率
trace = zeros(2,MAXGEN);%寻优结果的初始值
FieldD = [P... |
function [pNum,pSym] = SolveCoeff(x,y,dLevel)
%
% [pNum,pSym] = SolveCoeff(x,y,dLevel)
%
%FUNCTION:
% This function is used to symbolically find the coefficients of a
% polynomial that precisely meets the constraints described in the
% arguments.
%
%INPUTS:
% x = vector of input constraints
% y = vector of o... |
% OCR (Optical Character Recognition).
warning off
% Clear all
clc, close all, clear all
% Read image
imagen=imread('TEST_3.jpg');
% Show image
imshow(imagen);
title('Inpute Image')
% Convert to gray scale
if size(imagen,3)==3 %RGB image
imagen=rgb2gray(imagen);
end
% Convert to BW
threshold = graythresh(imagen);... |
function [theta, J_history] = gradientDescentOld(X, y, theta, alpha, num_iters)
%GRADIENTDESCENTMULTI Performs gradient descent to learn theta
% theta = GRADIENTDESCENTMULTI(x, y, theta, alpha, num_iters) updates theta by
% taking num_iters gradient steps with learning rate alpha
% Initialize some useful values
m ... |
% Changed to enable multi-cell fiber simulations. Should be consistent with
% equations in karma_sim_statefbtest as of 10/18/09. Changed stimduration
% and epsil1 and presence/absence of acoeff*, hprime, etc. to depend on the
% number of cells. Changed function arguments to vectors instead of
% scalars.
% Older... |
function Q = IC(x, y, gas_gamma, gas_const)
% function Q = IC(x, y)
% Purpose: Set Initial conditions for double mach reflection
% Location of initial discontinuity
xc = 1/6; yc = 0; aos = pi/3;
p1 = 116.5; rho1 = 8.0; u1 = 7.14471; v1 = -4.125;
p2 = 1.0; rho2 = 1.4; u2 = 0.0; v2 = 0;
% Initial pr... |
function [ J_opt, u_opt_ind ] = LinearProgramming(P, G)
%LINEARPROGRAMMING Linear Programming
% Solve a stochastic shortest path problem by Linear Programming.
%
% [J_opt, u_opt_ind] = LinearProgramming(P, G) computes the optimal cost
% and the optimal control input for each state of the state space.
%
% Input ... |
function [is1, is2] = circleIntersectionHF(A,B,ra,rb)
D = norm(B-A);
Sa = (ra^2 - rb^2 + D^2) / (2*D);
AM = Sa*((B-A)/D);
if (ra^2-Sa^2) < 0
is1 = [NaN; NaN]; is2 = is1;
return;
end
q = sqrt(ra^2-Sa^2);
AB = B-A;
MS1 = [-AB(2); AB(1)];
MS2 = [AB(2); -AB(1)];
is1 = A + AM + (MS1/norm(MS1))*q ;
is2 = A + AM ... |
function [zetamat, thetamat, theta_star_vmec, zeta_boozer, theta_boozer] = ...
generate_vmec_and_boozer_coords(file_vmec_outputa, surfs_to_make, numtheta, numzeta)
% function [zetamat, thetamat, theta_star_vmec, zeta_boozer, theta_boozer] = ...
% generate_vmec_and_boozer_coords(file_vmec_outputa, surfs_to_ma... |
%%Same as new_presenation_figures, but now combine position tensors along
%%dim3 instead of dim1 before calculating angles & averaging
%% specify where the data is, initialize cell to store tensors for each probe position
data_path='C:\Users\kirsi\Dropbox\struct_rep_data';
subject_id={'AMC026','AMC029','AMC031','AMC0... |
function [pwav]=p_wav(x,a_pwav,d_pwav,t_pwav,li)
l=li;
a=a_pwav;
x=x+t_pwav;
b=(2*l)/d_pwav;
n=100;
p1=1/l;
p2=0;
for i = 1:n
harm1=(((sin((pi/(2*b))*(b-(2*i))))/(b-(2*i))+(sin((pi/(2*b))*(b+(2*i))))/(b+(2*i)))*(2/pi))*cos((i*pi*x)/l);
p2=p2+harm1;
end
pwav1=p1+p2;
pwav=a*pwav1;
|
function s = num2strcell(x)
%
% s = num2strcell(x)
% Convert number array to cell array of strings for savecsv
%
s = cell(size(x)) ;
for k=1:length(x(:)),
if isnan(x(k)),
s{k} = '' ;
else
s{k} = num2str(x(k),6) ;
end
end
if length(x)==1,
s = s{1} ;
end
return
|
%% Esempio funzionamento
img = imread('esempio_funzionamento.PNG');
image(img)
title('Esempio di funzionamento con 4 processori e dimensione della matrice 7x8');
|
function tev = findeventsbydiffandgap(data, delta)
if ~exist('delta','var')
delta=1/24;
end
tev=[];
for ii=1:length(data)
M=max(data(ii).data)-min(data(ii).data);
time = data(ii).time;
ixdiff = find(diff(time)<1 & diff(data(ii).data)>M*0.02);
ixgap = find(diff(time)>1)+1;
tev = [tev, time([ixdiff; ixga... |
function a = alphah(v)
a = 0.07 * exp(-(v + 65) / 20);
end |
function [J, gradient] = costFunctionLogistic(theta, X, y, lambda=0)
%COSTFUNCTIONLOGISTIC Compute cost and gradient for logistic regression
% J = COSTFUNCTION(theta, X, y) computes the cost of using theta as the
% parameter for logistic regression and the gradient of the cost
% w.r.t. to the para... |
function [s] = startSerial( port )
% startSerial(port)
% sets up serial communication with MATLAB for use to
% send data to Arduino or other software. This function deletes all
% previous open serial ports and then creates a new serial object, s, with
% a BaudRate of 115200. The function also pauses before ending, whi... |
clear all ;close all ;
subs = {'alex','charest','esteban','fabio','gab','gabriella','genevieve','gina','guillaume','jeremie','julie','katrine','lisa','marc',...
'marie','mathieu','maxime','mingham','patricia','po','russell','sunachakan','tah','vincent'} ;
subgenders = [1,1,1,1,1,0,0,0,1,1,0,0,0,1,0,1,1,1,0,1,1... |
function [] = training()
averageError = 0;
fileError = fopen('error.txt','w');
for r = 1 : 20 % 1 : 20
load(['processed/training_feature_vector_' num2str(r)]);
load(['processed/training_truth_' num2str(r)]);
['Training: ' num2str(r) ' / 20']
cvpart = cvpartition(roi_response,'holdout',0.3);
Xt... |
function imagePreProcessing(directoryPath)
% Creates Locatin matrices for all 150 training images, while also prepping
% the tableGenerator functions to generate "Randomly Sampled" data or
% "Evenly Sampled data."
srcLabelled =...
dir(strcat(directoryPath, 'Labelled\*.png'));
srcUnlabelled =...
dir(str... |
mp = zeros(size(M));
i = 1
idx = transform_particles(pose(:, 1), scanAngles, ranges(:, 1),...
param.resol, param.origin, size(M));
mp(idx) = 255;
figure;
imshow(mp);
|
%% Wei Tao Chen
clear;
filename = 'MNIST_X_train.mat';
m = matfile(filename);
Xtrain = m.Xtrain;
filename = 'MNIST_y_train.mat';
m = matfile(filename);
ytrain = m.ytrain;
filename = 'MNIST_X_test.mat';
m = matfile(filename);
Xtest = m.Xtest;
filename = 'MNIST_y_test.mat';
m = matfile(filename);
yte... |
function pitchflow_processdir(indir, outdir)
% pitchflow_processdir(indir, outdir)
% Process an entire directory of wavfiles and write out pitchflow
% feature files.
% 2014-01-16 Dan Ellis dpwe@ee.columbia.edu
% Get a list of all the *sph files in <indir>
fdir = dir(fullfile(indir, '*.sph'));
for i = 1:length(fdi... |
function obj_feature = getDetectionFeature(frame_obj)
% calculate features of detected objects
% Input
% - frame_obj: frame points of a certain object
%
% Output
% - obj_feature features of the detected objects, N*1 struct
% - average_speed: average speed of all the object points
% - average_power: average power of ... |
function g = Sigmoid(z)
% This function runs the sigmoid function on every element in a matrix
g = 1./(1+exp(-z));
end |
function VsP = grpaction_i2p(p, Vs)
%GRPACTION_I2P performs group actions for each V of Vs to translate from
%T_{I}M to T_{p}M. p^1/2 V p^T/2 = p^1/2 V p^1/2 since p^1/2 is symmetric.
%
%
% See Also: QUADFUNC, GRPACTION_P2I
% $ Hyunwoo J. Kim $ $ 2016/04/18 15:07:00 (CDT) $
%pp = inv(sqrtm(p)); % Can be opt... |
function tdiDitherP4A(file)
%% A short model of noise influence to TDI CMOS imaging and their effects.
%%
%% Usage: see comments below
%%
%% Initial version P1A - 01/12/2014 - Deyan Levski
%%\
%%%%% Some Global Variables %%%%%
%close all;
%clc;
%clear all;
%ResHor = 640;
%ResVer = 480;
N = 2; % Number of TDI stages
... |
% Figure 6.70 Feedback Control of Dynamic Systems, 5e
% Franklin, Powell, Emami
%
clear all
close all;
num=0.9*0.05*conv([1 2],[10 1]);
num=conv(num,[1 0.005]);
den=[1 2 0 0 0];
den=den+[0 0 2*0.9*0.05*conv([10 1],[1 0.005])];
t=0:.5:40;
y=step(num,den,t);
subplot(2,1,1)
plot(t,... |
function [pore_data , throat_data] = rawNetworkConstruction(numX , numY , numZ ,...
minThroatR , maxThroatR , etaThroatR , deltaThroatR , ...
minThroatL , maxThroatL , etaThroatL , deltaThroatL , ...
minAspectRatio , maxAspectRatio , etaAspectRatio , deltaAspectRatio)
%%
global nx ny nz n_p n_t
nx = ... |
%%
%Exakt lösning
dt=0.01;
t=0:dt:5;
N=exp(-t);
plot(t,N)
shg
%%
%Euler framåt
clear N1
N1(1)=1;
for i=2:length(t)
N1(i)=N1(i-1)-dt*N1(i-1);
end
hold on
plot(t,N1,'r');
shg
%%
% Euler bakåt
clear N2
N2(1)=1;
for i=2:length(t)
N2(i)=N2(i-1)/(1+dt);
end
plot(t,N2,'g');
hold off
shg
legend('Exakt','Framåt','Bak... |
function ctr = histogram_bins( binwidth, maximum )
ctr = binwidth/2:binwidth:maximum;
assert( ctr(1) == (ctr(2)-ctr(1))/2 );
end
|
function [c,ceq]=constraint(policy)
global z lambda1 lambda2 param_V
[~,B001,B002,J,~,~,D0,~,D,B01,B02,B1,B2]=fun_vstar(policy,param_V);
if J>1
ceq=D(J-1)+B01(J-1)*exp(lambda1*(policy(2)-z*(J-1)))*(lambda1)+B02(J-1)*exp(lambda2*(policy(2)-z*(J-1)))*(lambda2);
for i=1:(J-1)
ceq=ceq+B1(J-1,i)*exp(la... |
%=========================================================================
%
% Simulation demonstration of the finite sample properties of the
% AR(1) estimator
%
%=========================================================================
function stsm_finite( )
clear all
clc
RandStream.setDefaultStr... |
global gESR
%test2=squeeze(yellowData2(:,1,:));
test=gESR.data(:,:);
test=squeeze(test);
xstart=2.78;
xend=3.3;
ystart=0;
yend=200;
leng=size(test,1);
sweep=size(test,2);
for i=1:leng
test(i,:)=test(i,:)-mean(test(i,:));
test(i,:)=test(i,:)/std(test(i,:));
end
xaxis=xstart:(xend-xstart)/... |
function [t,y] = odeEuler(diffeq,tn,h,y0)
% odeEuler Euler's method for integration of a single, first order ODE
%
% Synopsis: [t,y] = odeEuler(diffeq,tn,h,y0)
%
% Input: diffeq = (string) name of the m-file that evaluates the right
% hand side of the ODE written in standard form
% ... |
function make_sensdefs(d3path)
%
% make_sensdefs(d3path)
% Automatically generate the sensdefs.h header file
% from the master d3sensdef.csv
% Use \ for the path definition
% When this function has finished, copy the resulting sensdefs.h
% file from the d3/matlab directory to d3/api/include.
... |
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