text stringlengths 8 6.12M |
|---|
function loseRateExcMaxNpercentRet = loseRateExcMaxNpercentRet(ret,N)
% % 扣除最大亏损后收益率,输入参数Account是总资产变动情况
if nargin < 2
N = 5;
end;
[~,I] = sort(ret,'ascend');
I=I(1:round(size(I,1)*N/100),:);
ret(I) = [];
loseRateExcMaxNpercentRet = prod(ret+1)-1;
... |
function [dX,dA] = valve(Xp,ups)
dX = -Xp(1)^3/3 + Xp(1) + Xp(2);
dA = -ups * Xp(1);
end |
function [xtrack,ztrack,xmtrack,zmtrack,w,sdrift] = nls_stepper_periodic_1d(K,ad,anl,cg,k0,kval,Om,om,sig,ep,tf,dt)
% Llx is domain size, i.e. solve on domain [-Llx,Llx]
% sig is -1 for bright/focusing, +1 for dark/defocusing
% tf is total simulation time
% mu is magnitude of damping on envelope of dar... |
function M = mergematfiles(infiles,vars,varargin)
%MERGEMATFILES Merges variables in multiple .mat files
% function M = mergematfiles(infiles,vars,...)
%
% Merges variables in multiple .mat files. infiles specifies the files and vars specifies
% the variables to merge. If vars is empty or equal to '-all', then merge... |
clear all;
close all;
clc;
global iter_prcd NUM_UAV SetTaskAllocation p_i p_f p_task NUM_TASK TASK_STATUS TASK_STATUS_ini
global OBS_NUM OBS_VRT vrt_config DistPathForTask UNOBS_NUM iter_wpt cnt_terminate
global HLI_vel HLI_max_dyaw dt chk_range cnt HLI_pos second_choice wpt
global idxMinTask MinDistTask cntt ... |
close all
clear all
clc
% load the parameter values
run Nominal_parameters.m
t_ODE=[0 10];
IC_States=[50 1];
IC_Switches=1;
jj=0;
%%
for ii=1:1:4
%% select the values of the bifurcation parameters
if ii==1
% healthy control
kappa_P=.6; % healthy control
alpha_I=.3;
Col='k... |
function fitness = CalculateRouteFitness( route, locations )
origin = locations(route(1),:);
length = 0;
for i = 2:size(route,2)
destination = locations(route(i),:);
length = length + CalculateDistance(origin, destination);
origin = destination;
end
length = length + CalculateDistance(origin, loca... |
function saveanddisplay9(imagein)
fun=@(x)nonuniforlbt(imagein,x);
[step f]=fminbnd(fun,0.0001,3);
% step=0.1290;
%%CONSTRUCTING ACTUAL IMAGE
LBTim = LBT(imagein,8,sqrt(2));
C8=dct_ii(8);
Y=colxfm(colxfm(LBTim,C8)',C8)';
[Yq,entropynew]=dctquantise(Y/8,step);
%%Calculating Entropy
entropyold=bpp(quantis... |
function [Ell_AA,E_AA,Ell,E,x0_AA,x0,y0] = get_ellipsoids(P)
% GET AXIS-ALIGNED INNER ELLIPSOID
[E_AA,x0_AA] = getAAInnerEllipsoid(P);
% GET INNER ELLIPSOID
[E,x0,y0] = getInnerEllipsoid(P);x0 = x0';y0=[y0(1) y0(3)];y0 = y0/norm(y0);
% PROJECTIONS
% ELLIPSOIDS DESCRIBED BY (x-q)Q^-1(x-q)
% Also E'E = Q gives Ex+F fo... |
function im = normImage(im, qt, lv)
if ~exist('qt','var')
qt = 0.995;
end
if ~exist('lv','var')
lv = min(im(:));
end
% from matt
im = im - lv;
softImMax = quantile(im(:), qt);
im = im / softImMax;
im(im > 1) = 1;
im(im < 0) = 0; |
function reverse_nodes_map= get_reverse_nodes_map(nodes_map)
% Create a reverse map from node index to node name
%
% nodes_map - input map from node name to node index
node_names= keys(nodes_map);
reverse_nodes_map= containers.Map('KeyType','uint32','ValueType','any');
n= length(node_names)
for i= 1:n
... |
% --------------------------------------------------------
% ObjectNet3D
% Copyright (c) 2016 CVGL Stanford University
% Licensed under The MIT License [see LICENSE for details]
% Written by Yu Xiang
% --------------------------------------------------------
% Display the 3D shape retrieval results from ShapeNet
% Note... |
%% splitting frequency
figure()
FigH=figure('Position', get(0,'Screensize'));
sgtitle('Comparison of splitting frequency per algorithm for varying burst durations with 5 minimum photon(s) per burst')
subplot(3,4,1)
bins=.9:.2:2.1;
histogram(SplittingFrequencySlidingTimeWindow{1,3},bins,'facecolor','b','facealph... |
function track = drawtrack(gui,row,scale,nRows)
track.panel = uipanel('parent',gui.ctrl.panel,...
'position',[0.01 (row-.5)/(nRows+1) 0.98 scale/(nRows+1)],'bordertype','none');
temp{1} = uicontrol('parent',track.panel,'Style','text',...
'String','Window size (sec)','horizontalalign','right',...
... |
function analyze_report_const( obj )
%ANALYZE_REPORT generates graphes for a single simulation run
% Generates four Graphes and saves them as .eps and .fig
% Included Graphes:
% -Hive Statistics
% -daily change in stored food and bees
% -daily max/min of scouts and foragers
% - count of active food patches an... |
function [A1,A2,A3,A4,A5,A6,A7] = read_traj(file)
%A1,A2,...A7 = dt,dEE,B,q,ptch,E,Pz
traj1 = importdata(file);
traj1 = traj1.data;
for i = 1:7
eval(['A',num2str(i),'=traj1(:,i);'])
end |
f = @f1; a = 0; b = 1;
eps=0.0001;
[T, n] = bbct(f, a, b, eps);
disp(T); |
init_params;
global b2
b2=15;
tic
D_arr=[logspace(0,2,100)];
p2_arr=[0.05:0.005:0.49];
qdata = zeros(length(p2_arr),length(D_arr));
for i=1:length(D_arr)
currD = D_arr(i);
for j=1:length(p2_arr)
currp2 = p2_arr(j);
[ Q1, Q2, Q3, V1, V2, V3, F1, F2 ] = abundances_region_d_CM( c... |
%calculate the interfacial tension of methane + n-butane at310.95K and
%108 Bar
%reference comp. : highest boiling point
clear all
initNeqSim
system1 = neqsim.thermo.system.SystemPrEos(310.95,108); %
system1.addComponent('methane', 0.8); %mole frac like feed
system1.addComponent('n-butane',0.2);
system1.createDataba... |
classdef MondrianTester < MondrianHandler
%MONDRIANTESTER super class of VCETester and wbTester
properties (SetAccess = protected)
Iexperimental_corrected
Iperceptual_corrected
Ioutput
Idiff
corrFunc
costFunc
end
methods
%% MondrianTester: constructor
function obj = MondrianTester(space, solution,... |
function elem=atthinmultipole(fname,varargin)
%ATTHINMULTIPOLE(FAMNAME,POLYNOMA,POLYNOMB,PASSMETHOD)
% creates a thin multipole element
%
% FAMNAME family name
% POLYNOMA skew [dipole quad sext oct];
% POLYNOMB normal [dipole quad sext oct];
% PASSMETHOD tracking function. Defaults to 'ThinMPole... |
function [ pout ] = KLT_tracking(current_frame,value,Y,X,context,pin,other,affine)
OtherIterations=other;
AffineIterations=affine;
pout=pin;
for i=1:OtherIterations+AffineIterations;
%while norm(delta_p)>threshold && iter<n
%% calculate the error image
[wimg,flag]= warp_a(current_frame, pout,X,Y);
if flag==0;
pout=... |
clc;
close all;
clear all;
setup;
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%%%%%%%%%%%%%%%%%%%%%Scanning window character detection%%%%%%%%%%%%%%%%%%%%%%%%%%%
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%%%%%%%%%%%%%%% load test image
imgpath='E:... |
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% Charles Chen - SID: 810797715
% CSCI5722 - Computer Vision
% Final Project - Force Field Transform Demo
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% Based on the work of Hurley, David J., Mark S. Nixon, John N... |
%--------------------------------------
% Chris Dalke
% CSC 249 - Project 01
%--------------------------------------
% Performs Gaussian Blur filter
% on an image, and saves the result to
% a file.
%--------------------------------------
function resultImage = GaussianFilter(inputImage, imageName)
% Perform basic... |
pkg load symbolic
function resultado = runge_kutta(str_funcion, a, b, n, x, y, orden)
% Metodo de Runge-Kutta para aproximar la solucion de un problema de valor inicial
% :param str_funcion: string con la funcion que se debe evaluar
% :param a: Extremo inferior del intervalo
% :param b: Extremo superi... |
%% Creates a scatter plot of the fitnesses for each generation and overlays a plot of average and best fitness
%
% Must be in the evo_ros directory
%
% GAS 10-30-17
%% Read in table and set up plotting arrays
cd('../GA/logs');
file_name = '6_sonar_symmetric_placement_without_failure_run4.dat';
%file_name = 'double_son... |
% script to inverse the 3D shear velocity structure of PNG, using ambient noise and earthquake rayleigh wave inversion
%
% written by Ge Jin, jinwar@gmail.com
clear
load yzinv/regions.mat
load tomo.mat
[Nlat Nlon] = size(tomo(1).phV);
Ndepth = size(region(1).outmod,1);
shearV3D = zeros(Ndepth,Nlat,Nlon);
regmap = ... |
% CMPU250 - Professor Eric Aaron
% HW2 - Kyle Patterson
% April 2018
% ####################################################################
% ### ###
% # ... |
function p_y=posteriorPredictiveLogisticRegressionVB(x,mu_prior,Pi_prior)
%Jaakola, & Jordan (1996). A variational approach to Bayesian logistic
%regression models and their extensions.
putative_y=1;
[mu_posterior,Pi_posterior,ksi]=logisticRegressionVB(putative_y,x,mu_prior,Pi_prior);
lambda=@(ksi) (1/2-sigmoid(ksi))... |
function show(elements3,elements4,coordinates,u)
trisurf(elements3,coordinates(:,1),coordinates(:,2),u',...
'facecolor','interp' )
hold on
% trisurf(elements4,coordinates(:,1),coordinates(:,2),u',...
% 'facecolor','interp' )
Sqx = zeros(4,size(elements4,1)); Sqy = zeros(4,size(elements4,1)); Sqc = zeros(4,size(elemen... |
function delta = calcDelta( l, a, b, dy, dx )
if dy ~= 0
dl = circshift(l, dy, 1);
da = circshift(a, dy, 1);
db = circshift(b, dy, 1);
end
if dx ~= 0
dl = circshift(l, dx, 2);
da = circshift(a, dx, 2);
db = circshift(b, dx, 2);
end
postive = l - dl... |
clear all
%% Script to run Canonical Correlations between Structurals and Demographics
%% Read in relevant files
OS_for_analysis = 2 % 1 for Mac, 2 for Windows
if OS_for_analysis == 1
load('/Users/_omsa-tech/Dropbox/OldLaptop/DropBox_Documents/ABCD/Preprocessing/Release1.1/Residuals/ABCD_lm_CortVol_SS.mat')
AB... |
function deB_I = deBruijnImage(col,row,colPixels,savefile)
%This function creates a col x row de Bruijn image using 6 colours
%and a specified pixel-width for each colour band. A deBruijn pattern
%with k = 3 (the effective number of colours is 3 because of the XOR == 2
%requirement which means that each colour can ef... |
% utility: matrix_completion(alg_name,m,n,p,r,epsilon)
%
% Make sure all the called algorithms have the same form of Input and Output
% Input for these algorithms:
% 1) [m,n]: size of the matirx; r: rank of the matrix
% 2) Omega: position of the known entries
% 3) data: values of the known entries
% 4) start: ... |
% RSMA SNR
function WSR = RS_Rate(H,SNRdB,weight,tolerance,Rth)
u1 = weight(1);
u2 = weight(2);
u3 = weight(3);
h1 = H(:,:,1);
h2 = H(:,:,2);
h3 = H(:,:,3);
% Decoding order of messages at layer 2: 12-->13-->23
WSR_order(1) = RS_Rate_oneorder(H,SNRdB,weight,tolerance,Rth);
% Decoding order of me... |
function [y] = weak_incr_left(x)
y = cumsum([x(1) subplus(diff(x))]);
end
|
% input de 8 bits
function [output] = fk(in,subkey)
L = in(1:floor(end/2));
R = in(floor(end/2)+1:end);
F = mapingF(R, subkey);
first = xor(L, F);
second = R;
output = horzcat(first, second);
end |
function [ newD,newp2,seed_set_p1,seed_set_p2,con_pollen_p1,con_pollen_p2,hetero_pollen_p1,hetero_pollen_p2 ] = FULL_plant_dynamics( D,p2,Q1,Q2,Q3,V1,V2,V3,F1,F2)
%assume we have Q1,Q2,Q3 V1,V2,V3 F1,F2
global z_rate
global Smax
global h
%global half_saturation
global generation_length_in_seconds
global a1
g... |
% Main
% real u = sin (2*pi*x)
% real p = Gu
% p =-(2*((cos(2*pi*x) - cos(2*pi*(delta - x)))/(2*pi) + delta*sin(2*pi*x)))/delta^2
%
% RHS f = -G^*G u
% f =(4*sin(2*pi*x)*(cos(2*pi*delta)/2 - delta^2*pi^2 + delta*pi*sin(2*pi*delta) - 1/2))/(delta^4*pi^2)
%
%
%% -----------------------------------... |
function [obj] = calcByRound( PTL, mode )
% 潘其超，20140705，V1.0
% 潘其超，20140730，V2.0
% 1. 加入了对空TradeList的处理。
% 潘其超，20140814，V3.0
% 1. 加入了计算模式的选择。R by Round，P by Pair.
if nargin == 1
mode = 'R';
end
if mode == 'R'
rStats = PTL.sumRound();
elseif mode == 'P'
rStats = PTL.sumPair();
end
obj = TradeSum();
... |
%% Initialization
close all; clear; clc;
warning('off' ,'images:initSize:adjustingMag');
robot = {[0 0; 8 0; 8 1; 0 1] + [4 24], 'robot'};
B1 = {[0 0; 10 0; 10 1; 0 1]+[0 18], 'CB'};
%% calc all layers
[matrix_map, maps] = Q1_(robot,B1);
%% show and save relevant layers
maps{1}.Visible = 'on';
matrix_map{1}.Visible =... |
classdef robot_triangle_new
%robot_triangle Summary of this class goes here
% Detailed explanation goes here
properties
pA0;
PB = [2; 2]; % position of object B
PC = [1; 0.6]; % position of object C (human)
v_max = 0.5; % max linear velocity
w_max = ... |
function [ Adv, HorizVis, VertVis ] = initSolver( obj )
if obj.option.isKey('AdvDiffHorizontalDiffusionType')
type = obj.getOption('AdvDiffHorizontalDiffusionType');
if type == enumHorizontalDiffusion.Constant
HorizVis = NdgHorizDiffSolver( obj );
else
HorizVis = NdgNoneHorizDiffSolver( obj ... |
function [heading_time, forward_signal_time, hDeltaC_output_time, u_time, local_output_time, pfl3r_heading_time, pfl3l_heading_time, pfl2_heading_time, pfl3r_time, pfl3l_time, pfl2_time] = mutual_inh_model_n8_paper(gain_wind, gain_inh, opto_pattern, wind_angle, heading_angle, t_pre, t_stim, t_post, allocentric)
%% Mode... |
function [J grad] = nnCostFunction(nn_params, ...
input_layer_size, ...
hidden_layer_size, ...
num_labels, ...
X, y, lambda)
%NNCOSTFUNCTION Implements the neural network cost func... |
%% Opdracht 1
% In de onderstaande code staat een fout. Los de foutmelding op.
% Let op! Bij het oplossen mag je geen variabele verwijderen je
% mag indices ook niet aanpassen.
rolWrijving= 1:3:91;
Flucht=sin(0:length(rolWrijving)-1);
Fstuw= rolWrijving+F1ucht;
|
function mui=MUIz(X,Z)
%mui=MUIz(X,Z)
%Mutual information estimation for a continuous + discrete variables.
% X should be p1 x n array of n observations of the realizations of a
% p1-dimensional continuous-valued random variable X, Z should be a
% p2 x n array of the observations of a p2-dimensional discrete-valued
... |
% regularization parameter tester
% tests:
% modesolver_reg
% modal_filter
%
% 08/11/14
%
mics = 2;
order = 4;
winsize = 1000;
mscale = 0.1;
mshift = 0.9;
alpha = 1000;
base = "/media/joe/Milarepa/experiments/2014_08_11/reg_eigs/";
directory = [base, num2str(clock)];
%mkdir(directory);
[ve... |
clearvars
close all
clc
A = zeros(6,6);
n=36+3;
Tab = zeros(1,n);
Tab(2) = 1;
for i=3:n
Tab(i) = Tab(i - 1) + Tab(i - 2);
end
x=3;
for i=1:6
for j=1:6
A(i,j)=Tab(x);
x=x+1;
end
end
disp(A);
%zad2
B = A([2,4,5],[1,3,5]);
disp(B);
|
% *********************** Main Plot Function ***********************
function y = plot_Pan(hObject, eventdata, handles)
% Reset Plot for each new input
delete(handles.axes1.Children);
% No Runs Selected
M = handles.panel;
if sum(M) == 0 || isempty(handles.plot_data)
plot(0);
grid minor
xlim([0 4]);
ax =... |
%{
Jacob Leonard
ITP 168 - Fall 2015
jaleonar@usc.edu
Revision History
Date Changes Programmer
-------------------------------------------------
9/9/2015 Original Jacob Leonard
%}
fprintf('Average Calculator \n')
trials = [1:10];
trials(1,1) = input('Trial 1: ');
trials(1,2) = ... |
% Make a base Rects of 300 by 300 pixels
baseRect = [0 0 300 300];
%set the color of the rect
allColor = [1 1 1; 1 1 1; 1 1 1];
%Screen X positions of our filled left rectangle
squareXpos = [screenXpixels * 0.25];
numSquares = length(squareXpos);
%Make our rectangle coordinates
leftRect = nan(4, 3);
for ... |
function final_mat=ANMS(metric1)
q=1;
global metric1 final_mat
%global x_cord_new y_cord_new x_cord_rot_new y_cord_rot_new
for i=1:size(metric1,1)
for j=1:size(metric1,2)
if(metric1(i,j)~=0)
metric1_array(q)=metric1(i,j);
x_cord(q)=i;
y_cord(q)=j;
q=q+1;
end
... |
cfg = [];
% Build simulation data
cfg.data.run = true;
cfg.data.patients = {'Simulation'};
cfg.data.simscenario = 'Merge'; % Choice: 'Null', 'Expand', 'Contract', 'Split', 'Merge'
cfg.data.nbsim = 1; % Run a single simulation of one "seizure".
cfg.data.seizures = {{[cfg.data.simscenario '_1... |
function Integral = DiscreteSimpsonsRuleQ(Val,Phi)
%
% DiscreteSimpsonsRuleQ: Quick, discrete Simpson's rule
%
% Performs Simpson's rule integration with no input checking (quick),
% aside from a determination of the interval count being odd or even.
%
% Val must be a matrix with independent values (not spacings) in th... |
%UTILITIES: Non-user-facing documentation functions for the Props package
|
function [strxx,stryy,strzz,strxz,stryz,strxy,sxx,syy,szz,sxz,syz,sxy] = stress(nx,ny,nz,ns,exx,eyy,ezz,exz,eyz,exy,u,ib,pix,cmod)
%Subroutine that computes the six average stresses and six
nxy=nx*ny;
% set up single element strain matrix
% dndx, dndy, and dndz are the components of the average strain
% matrix in a pi... |
function [ Norm ] = NormRGBHist( Source, Target, verbose )
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% NormRGBHist: Normalise the RGB histogram of Source Image with respect to
% a Target image using the Histogram Specification Method
%
%
% Input:
% Source - RGB Source ... |
function []=DrawRectangle(x1,y1,x2,y2,x3,y3)
%Make drawing of traingle
DrawLine(x1,y1,x2,y2);
DrawLine(x2,y2,x3,y3);
DrawLine(x3,y3,x1,y1);
end |
function [Dint,DMat] = recallIntDelayTableWS_emp(R,p,m)
%% Converts from fx order (in compile function) to whatever arbitrary node sequence is specified in the configuration
% Starts off with canonical table based upon order of list in fx functions
% fx{1} = @ABC_fx_bgc_mmc; % mot... |
function Bootstrap = uq_OLS_bootstrap(Psi,Y, options)
% BOOTSTRAP = UQ_OLS_BOOTSTRAP(PSI,Y,OPTIONS): return the bootstrap
% estimates of the OLS regression problem with regressors PSI and
% responses Y. OPTIONS. 'Replications' contains the number of Bootstrap
% replications to calculate.
%
% See also: uq_PC... |
function [score] = simplePolicyComparison(dates,agentOpts,envOpts,agentFolder)
slashes = strfind(agentFolder,'/');
runFolder = agentFolder(1:slashes(end));
solutions = load([runFolder 'solutions.mat']); solutions=solutions.solutions;
animalReducedStateSeqs = load([runFolder 'animalReducedStateSeqs.mat']); animalReduced... |
function rssi_per(sname, rname)
%s = load('sender_10.dat');
%r = load('receiver_10.dat');
%scrsz = get(0,'ScreenSize');
scrsz = [ 1 1 1600 1200 ];
figure('Visible', 'off','Position',[10 scrsz(4)/4 scrsz(3)/2 scrsz(4)/2])
s = load(sname);
r = load(rname);
MIN_RSSI = -5;
own_rec = r(find(r(:,6) == 1),:);... |
function figh = PlotResponses(stim,spike,totstim,stimlabels)
fighh = figure('Position',[256 40 651 678]);
width = 170;
hgap = 50;
height = 105;
vgap = 25;
across = 3;
down = 4;
% Set up axes
for i = 1:down
for j = 1:across
bottom = 500-(i-1)*(height+vgap);
left = (j-1)*(width+hgap) + 25;
vaxh((j-1)*down+i... |
clear all
addpath /home/leonhard/spm8_r4667/
spm('defaults','eeg');
addpath('/data1/sleep/meg/scripts')
rootDir = '/data1/sleep/meg';
cd(rootDir)
s = ['find -L -mindepth 3 -maxdepth 4 -type d '...
'| grep -E ".*subj[0-9].*sleep.*_0[1-2]\.ds$" '...
'| sort -n > folderList_subjMegDirs.txt']
system(s);
folderLi... |
if ~exist('eyerecording', 'var')
disp('loading compressed recording from file...')
load('eyerecording-10.mat')
end
%%
activityConstant = 20000;
eyerecording = activity(eyerecording, 20000);
%%
skip = 100;
scatter(eyerecording.ts(1:skip:end), eyerecording.activityOn(1:skip:end))
hold on
scatter(eyerecording.ts... |
clear all
%% --------------- Importing the dataset -------------------------
% ---------------------------- Code ---------------------------
data = readtable('D:\Machine Learning for Data Science using MATLAB\Classification\K-Nearest Neighbor\Social_Network_Ads.csv');
%______________________________________________... |
classdef Experiment %< handle
properties (Constant)
% global constants see Par file
end
properties
name = 0;
Type = 'hand_reach'; % 'lick' 'pedal'
Depth = 200;
ImagingSamplingRate = 360/12;
BehavioralSamplingRate = 2400/12;
... |
function [A_k S] = task3(image, k)
A = imread(image);
A = double(A);
[m n] = size(A);
mniu = zeros(m, 1);
Z = zeros(n, m);
for i = 1 : m
mniu(i, 1) = sum(A(i,:)) / n;
endfor
A = A - mniu;
Z = A';
for i = 1 : n
for j = 1 : m
Z(i, j) = Z(i, j) / sqrt(n - 1);
endfor
... |
function [ mie3InputFileName ] = writeMie3InputFile( varargin )
%UNTITLED Summary of this function goes here
% Detailed explanation goes here
%% Define Default Parameters
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%%%%%% D E F I N E D E F A U L T I N P U T P A R A M E T E R... |
% Syntax
% err = PS_StartStimChannel(StimN, ChN)
% Description
% Starts stimulation for channel ChN with previously configured parameters.
% StimN - stimulator number to configure (starts from 1)
% ChN - channel number to start stimulation (starts from 1)
% Returns:
% -1 - invalid argument(s)
... |
function m_SigmaPos = f_AutoValPos2D(m_Sigma,e_VG)
%La verificación de que si es tensor de tensiones es nulo y imponer que angle=0,sigmacri=0 no es
%necesario ya que atan2 si es 0/0 (todas las tensiones nulas) devuelve angle=0.
%Tampoco es necesario considerar el caso en que las dos tensiones principales ... |
for i = 1:92
% choose a random expert and lay observation and generate a point
% near to them
new_exp(i,:) = mvnrnd(exp(randi(8),:),eye(size(full_score,2)));
new_lay(i,:) = mvnrnd(lay(randi(7),:),eye(size(full_score,2)));
end
% train the svm model
... |
%parameters to fill up
clear all
dz=6;
z1=8;
[FileName,PathName] = uigetfile('*.nii','Select the Nifti file','/home/sophie/Desktop/');
file=strcat(PathName,FileName)
D=MRIread(file);
Data=D.vol;
S=size(Data);
for i=1:S(4)
Z0=1:size(Data,3);
Zinit=((Z0-z1)*dz+dz/2);
z_psf=abs(Zinit)*0.239+5.46;
% Average the stack la... |
function DATA = uitable1(col_headings, nRows)
global DATA H
%% Simple data entry table (GUI)
nCols = length(col_headings);
DATA=NaN*ones(nRows,nCols);
SCRN = get(0,'ScreenSize');
ht=SCRN(4)-SCRN(2); wd=SCRN(3)-SCRN(1);
indx=1/(nRows+2);
H.DataTable_fig = figure('Units','pixels',...
'Position',[SCRN(1)+0.05*wd SC... |
function allplots_cortex(sa, headdata, colorlimits, cm, unit, printfolder, varargin)
% Stefan Haufe, 2014, 2015
% stefan.haufe@tu-berlin.de
% If you use this code for a publication, please ask Stefan Haufe for the
% correct reference to cite.
% License
%
% This program is free software: you can redistribu... |
function [zdc, slop] = f012zdc(q, f01)
% calculates z dc bias amp from f01
% if f01 not given, finds the symmetric point(zdc where f01 is maximum)
% Yulin Wu, 2017/3/9
if numel(q.zdc_amp2f01) ~= 4
throw(MException('QOS_setF01:illegaleAmp2f01Func',...
sprintf('%s: illegale zdc_amp2f01, zdc_a... |
fromHz = 44100;
toHz = 44100;
fromBits = 24;
toBits = 16;
fromDir = 'audio';
toDir = 'audio_AddSub';
fromFiles = dir(strcat(fromDir, '/*.wav'));
for file = fromFiles'
fileName = strcat(fromDir, '/', file.name)
data = wavread(fileName);
Fs = 44100;
%44100 * 30 = 1323000サンプル
%40ms毎に区切る
%40ms = 44100 * 40 / 100... |
clear all; close all; clc;
[xTrain, tTrain, xValid, tValid, xTest, tTest] = LoadMNIST(1);
xTrainMean = 0;
for i = 1:size(xTrain,2)
xTrainMean = xTrainMean + xTrain(:,i);
end
xTrainMean = xTrainMean./(size(xTrain,2));
xTrain = xTrain - xTrainMean;
xValid = xValid - xTrainMean;
xTest = xTest - xTrainMean;
netwo... |
function [icl, opl, ipl] = segmentInnerLayersCirc(bscan, Params, rpe, infl, medline, bv)
% SEGMENTINNERLAYERSCIRC Segments some inner retinal layers from a BScan.
% Intended for use on circular OCT B-Scans.
%
% [ICL, OPL, IPL] = segmentInnerLayersCirc(BSCAN, PARAMS, RPE, INFL, MEDLINE, BV)
% Segments some inner layer ... |
function [op] = charPurge(ip,replaceWith)
% charPurge - remove everything that is non-alpha/numeric from a string
% Specify choice of replacement
if nargin == 1
charRep = '_';
elseif nargin == 2
charRep = replaceWith;
end
% Find, and replace
lx = isstrprop(ip, 'alphanum');
fx = lx == 0;
ip(fx) = charRep;
op =... |
function T = buildT(nh)
T = 4 * eye(nh, nh);
T(1, 2) = -1;
T(nh, nh-1) = -1;
for i = 2:nh-1;
T(i, i-1) = -1;
T(i, i+1) = -1;
end;
end |
function [X_filtered,tnew] = avg(t,X,period)
elements = round(max(t)/period);
if(elements-1)*period < max(t)
elements = elements + 1;
end
X_filtered = zeros(elements,1);
tnew = transpose([0:period:(elements-1)*period]);
j = 1;
for i=2:length(tnew)
n = 0;
while t(j)<=tnew(i)
X_filtered(i) = X_... |
%% Implementing alpha-trimmed filter
function mean = a_trim_filter(img)
[m,n] = size(img);
sum = 0;d = 0;
for i=1:m
for j=1:n
sum = sum + img(i,j);
end
end
mean = sum*(1/m*n - d); |
function [coords, counts, means, stds] = plotTrialCorrelation(...
trial, d_vars, i_vars, outlier_thresh, t_span, n_bins)
if nargin < 2
t_span = 1:size(trial.fuse.xsmooth,2);
end
if nargin < 3
n_bins = 100;
end
|
% xAllt: values of SemNet for the concept pair (-1...+1)
% yAllt: cosSimilarities of concept pairs
% zAllt: average degree of concept pairs
% will show concept pair with largest distance from average (i.e. outlier)
% in terms of prediction, cosS, degree.
xAllt=xAll;
yAllt=yAll;
zAllt=zAll;
xmean=mean(xAll... |
clc;
clear;
img1=imread('rice.png');
background = imopen(img1,strel('disk',15));
I2 = img1 - background;
img2=im2bw(I2,graythresh(I2));
x=[1 1 1]*1/3;
s=convn(img2,x,'same');
I = imadjust(s,[0.3 0.7],[]);
B = bwboundaries(I);
RGB_label = label2rgb(img2,[.0 .0 .0], 'black', 'shuffle');
imshow(RGB_label)
hold on
for k = ... |
% Interactive Graph cuts Segmentation Algorithm
% Towards Medical Image Analysis course
% By Ravindra Gadde, Raghu Yalamanchili
% Interactive Graph cut segmentation using max flow algorithm as described
% in Y. Boykov, M. Jolly, "Interactive Graph Cuts for Optimal Boundary and
% Region Segmentation of Objects in... |
function snr=snr_estimation(signal,format)
load SNRModel_2PSK.mat
load SNRModel_QPSK.mat
load SNRModel_8PSK.mat
load SNRModel_8QAM.mat
load SNRModel_16QAM.mat
load SNRModel_32QAM.mat
x = real(signal);
y= imag(signal);
tmp = [x;y];
tmp = tmp';
%tmp = tmp1(randsample(10000,1000,'false'),:);
switch format
case '2PSK'
... |
function newTracklets = filterTracks( tracklets )
% Gets nonzero tracklets
[T,~,N] = size(tracklets);
newTracklets = [];
counter = 1;
for n=1:N
for t=1:T
if (tracklets(t,:,n) ~= [0 0])
newTracklets(:,:,counter) = tracklets(:,:,n);
counter = counter + 1;
break;
... |
function [IntervalMatrix] = bisection_func(a, b, delta, max_iter)
%function that look for zeros in whole generally given interval
LocalIntervals = localInterval(a, b, delta);
IntervalMatrix = zeros(1,2);
for i=1:size(LocalIntervals)
IntervalMatrix(i,:) = bisection_funcLocal(LocalIntervals(i,1), LocalInterv... |
function xmlStruct = ReadXMLHeader(xmlString)
re = '<(?<property>[^/?<>]*)>(?<data>[^/?<>]*)(</\k<property>>)*';
matches = regexp(xmlString,re, 'names');
xmlStruct = struct();
i = 1;
while i <= length(matches)
if strcmp(strtrim(matches(i).data), '')
sub_struct = matches(i).prop... |
x = -10 : 0.1 : 10;
y = -10 : 0.1 : 10;
[x_new, y_new]=meshgrid(x,y);
for k1 = 1:size(x_new, 1)
for k2 = 1:size(x_new, 2)
X = [x_new(k1, k2), y_new(k1, k2)];
z(k1, k2)=ObjectiveFunction(X);
end
end
surfc(x_new, y_new, z);
xlabel('x');
ylabel('y');
zlabel('Objective Wert')
shading flat |
function plotc(x, y, varargin)
x = [x(:); x(1)];
y = [y(:); y(1)];
plot(x, y, varargin{:});
end |
function [ command ] = create_distance_command_function( x_dist, y_dist, z_dist )
% Creates distance command by concatenating parameters separated by commas
% starting with d
addpath(genpath('../'));
command = strcat('D', num2str(x_dist));
command = strcat(command, ',');
command = strcat(command, num2str(y_di... |
function [ HPT, Cycle ] = HPT1Stage( CycleIn, HPT_In, HPC, DesignInputs, DesignCriteria )
% Set outputs equal to inputs, add to outputs throughout function
HPT = HPT_In;
Cycle = CycleIn;
% Determine row indeces for HPT stations
Station_4 = find(ismember(Cycle(:,1),4),1);
Station_41 = find(ismember(Cycle(:,1),41),1);
... |
function [force,torque] = force_z(n,m,a,b,p,q)
% force_z.m: Finds z component of optical force and torque
%
% Usage:
% [Fz,Tz] = force_z(n,m,a,b,p,q)
% OR
% [Fz,Tz] = force_z(n,m,ab,pq)
%
% What units are you using for a,b,p,q?
% If you have simple units like (using incoming/outgoing):
% power = sum( abs(a).^2 ... ... |
%%Ejercicio 4
%
datos=csvread('clouds.csv');
%alto=20;
%ancho=20;
%nro_epocas=10;
%
%w=SOM(alto, ancho, datos(1:3000,1:2), nro_epocas);
%ww=[w(:,:,1); w(:,:,2)];
%csvwrite("pesos.csv",ww);
%w=csvread("pesos.csv");
w=csvread("pesos2.csv");
w_aux=w;
w=zeros(size(w,2),size(w,2),2);
w(:,:,1)=w_aux(1:size(w,1),:);
w(:,:,2)=... |
function [void] = speedComp(a_trials)
%//
%// SYNOPSIS
%// speedComp(a_trials)
%//
%// ARGS
%// a_trials in number of trials to run
%// void out dummy output
%//
%// DESC
%// Does a quick and dirty speed trial on matrix multiplication.
%//
%// HISTORY
%// 04 September 2002
%// o Ini... |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.