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function [B,Coef,Res]=PLS(X,Y,k)
% this function performs partial least squerres regression
%
% [B,Coef,Res]=PLS(X,Y,k,option)
%
% X:predictor
% Y:responce
% k:the number of components
if ~exist('k','var')
k=1;
end
% size
[n,p]=size(X);
[~,q]=size(Y);
% set parameter
MaxItr=1000;
tol=1e-8;
T=zeros(n,k);
U=zero... |
%Ejercicio4
x= 0;
while (x~=10)
x = x + 0.5
end
|
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% Copyright 2013 Analog Devices, Inc.
%
% Licensed under the Apache License, Version 2.0 (the "License");
% you may not use this file except in compliance with the License.
% You may obtain a copy of the License at
%
% http:/... |
cd('C:\shared\eeg_badger\russ') ; ls ; clear all ; close all ;
%filenames = {'Retino_angles_2.vhdr','Retino_angles_3.vhdr','Retino_angles_4.vhdr','Retino_angles_5.vhdr','Retino_angles_6.vhdr','Retino_polar_1.vhdr','rest.vhdr'} ;
for fname = 1:length(filenames)
EEG = pop_loadbv('.',filenames{fname}) ;
E... |
function getFiles()
%pds.eyelink.getFiles transfer from from eyelink to this machine
%
% jk wrote it 2014
prevDir=cd;
p=pldaps;
datadir = p.trial.pldaps.dirs.data;
cd(datadir)
[files, dirs]=uigetfile('*.PDS','Choose PDS files to get EDF files for','MultiSelect','on');
nfiles=length(files);
if(~iscell(files))
... |
% Digital Signal Processing Toolbox
% Version 0.1
%
% Signal flow graph manipulation
% sortsfg - Sort SFG in computational order
% addoperand - Add operand to SFG
% insertoperand - Inserts operand (with one input and one output) into SFG
% replacemac - Replace MAC with multiply and add
% flat... |
function result = mnthetan( u, m)
%MNTHN Neville theta function N
result = nthetan( u, melnome(m));
end |
function [ substitutionMap, clusterAssignmentMap, unseenWords, nns, dist] = substituteUnknownWords(V, query_V, ref_V, ref_F, clusters, clusterWordMap, varargin )
substitutionMap = containers.Map();
clusterAssignmentMap = containers.Map();
nns = [];
dist = [];
assert(size(clusters,1) == size(ref_V,1));
assert(size(clu... |
function placeIntoFolders(targetfolder)
%run on Sample# subfolder from Micromanager on M1 or M2 to collate acquisitions by field of view
if nargin<1
targetfolder = uigetdir()
end
cd(targetfolder)
separate_samples=1; %place into separate SampleX folders instead of fields in Sample1
filegrouping = 1; %fluo... |
clear ;%spatial high pass filters
Image=rgb2gray(imread('coins.jpg'));
laplaceT=[0 1 0;1 -4 1;0 1 0];
ident=[0 0 0;0 1 0;0 0 0];
Image2=imfilter(Image,laplaceT);
subplot(3,2,1);
imshow(Image);title('Original image');
subplot(3,2,2);
imshow(Image2);title('Image after laplacian masking');
sharp=ident-laplaceT;
Image3=imf... |
function [output1] = p_LeftRotationJoint(var1)
if coder.target('MATLAB')
[output1] = p_LeftRotationJoint_mex(var1);
else
coder.cinclude('p_LeftRotationJoint_src.h');
output1 = zeros(3, 1);
coder.ceval('p_LeftRotationJoint_src' ...
,coder.wref(output... |
function det_p = p1_lamel(euler_angle)
i3=2;
for i1=1:1:size(euler_angle,1)
neg = (-1)^i3;
dummy7=1;
for p =-0.5:0.0001:0.5
strain_external = [1 (p*neg) 0;(p*neg) 0 0;0 0 -1];
g_mat = Euler_to_gmat(euler_angle(i1,:));
s_in= g_mat*strain_external*g_mat';
for counter1=1:1:56 % Calculating m ... |
function tau = dtauint(z, pp, om, omb, omt, h)
% calculates the integrant for integration of the optical length dtau over the redshift z
% dtau in Mpc^-1 is extracted from interpolation in a table which has been splined.
% pp is the spline of the interpolation for tau values as f of the redshift in this table.
% f... |
function [M_00,M_10,M_01,M_11,M_20,M_02,Area] = region_properties(height,width,output_connect2)
%a. zeroth-, first- and second-order moments and central moments.
%b. Area of the region (just count the number of pixels in the region).
level=[10 40 70 100 130 160];
%level=[20 60 130 170 210 240];
M_00=[];
M_10=[];
M_0... |
function [K,R,t] = getcparams(C)
% decompose projection matrix into a intrinsic parameters (K) and extrinsic
% parameters (rotation R and translation t)
%
% © Copyright Phil Tresadern, University of Oxford, 2006
% RQ decomposition of projection matrix
[K,R] = rq(C(1:3,1:3));
% ensure that f and alpha*f are both posit... |
function [RevPath,count,noway]=DIJKSTRAv3(NodeMap,start,A)
Distance=ones(1,64);
Distance=Distance*9999;
Visit=(1:64);
Parent=zeros(1,64);
NodePointer=0; %Current Node
Flag=1;
RevPath=[1:64]*0;
c=1;
count=1;
noway=1;
Distance(start)=0;
NodePointer=start;
while (noway==1)
... |
close all;
clear all;
%[filename, permission, machineformat, encoding] = fopen('cfg_alex.cfg','w+');
fileID = fopen('.\MAC_CITY\cfg_alex88.cfg','w+');
for iij = 1:70
fprintf(fileID, '-');
end
fprintf(fileID, '\n');
fprintf(fileID, 'This is the header with the name of the structure \n');
fprintf(fi... |
function popstats(ntrials)
clf
rand('state',0)
maxpop = 40;
pfinal = zeros(maxpop,1);
m = 1;
for k = 1:ntrials,
p = pop(2);
finalp = p(end);
if (finalp < maxpop)
pfinal(p(end)+1) = pfinal(p(end)+1)+1;
end
if (mod(k,m) == 0)
bar(0:maxpop-1,100*pfinal/k,.6)
set(gca,'XLim',[-1 ... |
% Script which plots various results from fall2015Data
% % Transform wavespeed to inverse wavespeed
% for i =1:9
% fall2015Data(i).FishParameters(4,:) = 1./fall2015Data(i).FishParameters(4,:);
% end
%
% %% Transform amplitude to the correct units
% fps = 5;
% micronsPerPixel = 0.325;
% for i =1:9
% fall2015Da... |
function [cells, rpts] = groupPoints(pts, cellSize)
% Groups points into cubes in 3D space.
% Parameters:
% pts - matrix of points [x y z]
% cellSize - cube edge length
% Returns:
% cells - describes cells allocation; vector:
% xstart ystart zstart xend yend zend firstPointIx lastPointIx
% where: xstart ... |
function call_price=american_call_baw(S, X, r, b, sigma, time, accuracy)
%--------------------------------------------------------------------------
%
% DESCRIPTION:
%
% Barone-Adesi and Whaley (1987) quadratic approximation to the price
% of a call option.
%
%
% Reference:
%
% Giovanni Barone-Adesi... |
function [omega, Phi] = ...
RBME(K_free, M_free, X, R, kappaPts, varargin)
% THIS FUNCTION NEEDS TO BE TESTED (recently updated to simplify input and
% code itself, but it probably doesn't run yet)
% Reduced Bloch Mode Expansion dispersion computation code
% Dimitri Krattiger
% 1-27-2014
% input... |
close all;
clear all;
% Choose Images to run the code on
img1 = imread('brain1.png');
img2 = imread('brain2.png');
% img1 = imresize(img1,0.3);
% img2 = imresize(img2,0.3);
% Storing the original images for reference
im1 = img1;
im2 = img2;
%Calculate the Grayscale values of the image
if size(img1,3)==3
img1 ... |
function [t,y] = euler_implicit_linear_khan(fun,jacob,tstop,dt,y0,u)
nsteps=round(tstop/dt)+1;
npar=length(y0);
y=zeros(nsteps,npar);
t=zeros(nsteps,1);
y(1,:)=y0;
t(1)=0;
atol=1e-8;
rtol=1e-4;
for i=1:nsteps-1
fofy=fun(t(i),y(i,:),u);
yi=y(i,:)';
Xj=yi+fofy'*dt;
t(i+1)=t(i)+dt;
% netwo... |
function model = MFA_train(trainfilename, conf)
% ********************************************************
% Input:
%
% trainfilename: the file which contains the name of training trials.
%
% conf: configure parameters. conf is a struct with following fields.
%
% conf.datapath: the path to the folder that saves kinema... |
function [qwip, abs_qwip] = qwip_score(rrs,rrs_wave)
% ------------
% qwip_score.m
% ------------
% Written by K. J. Turner, Tzortziou Bio-Optics Lab, City College of New
% York
% Last updated: June 8, 2022
% -------------------------------------------------------------------------
% This function calculates the Qualit... |
function axs = tile_area(N, varargin)
% Tile the area with N tiles.
% Arguments:
% N - number of tiles, if a scalar, optimal ratio between rows and columns
% is calculated from screen dimensions.
%
% Name/Value Arguments:
% area - a rectangle with (blx, bly, width, height). (blx/y = bottom left
% x/y). d... |
%% Commercial Motor Model
% Brad MacNeil 01/04/2015
% This document details all the parameters that were measured to model the
% motor that was built of EECE 380. The tests used to measure the given
% parameters are detailed in MotorTesting.m The parameters measured include:
% Armature Resistance, Armature Inductance... |
function cancel_test()
% Save nothing
display('Current Test Discarded');
end
|
function pcomb = stouffer(p)
% Stouffer et al's (1949) unweighted method for combination of
% independent p-values via z's
if isempty(p)
pcomb = 1;
elseif(numel(p) ==1)
pcomb = p;
else
pcomb = 1-normpdf(sum(norminv(1-p)) / sqrt(numel(p)));
% pcomb = (1-erf(s... |
%
% f(i,j)=x(i,j)*sin(.5*x(i,j))-y(i,j)*sin(.5*y(i,j))
% for x in [-3,3] and y in [-4,4].
%
%CLEARING
%clears all the previous data
%clears all previously made functions
clear;
clf;
% DECLARATIONS
% create an array from 0-50 of zeros to populate, for x,y,and f
%
m=51;
n=51;
x=zeros(m,n);
y=zeros(m,n);
f=zeros(m,n);
dx... |
% Name: Nikki Wines
% Wustlkey: catherinewines
% Assignment: Homework 2
% Due Date: September 21st, 2015
%The answers to all problems should be placed in this file. If you are
%asked to write a function, put the commands testing your function in this
%file. Use comments to describe each Problem in one or two sente... |
function interface( fileName, scale )
au = cell(1,length(fileName));
maxLength = 0;
disp('Processing ...')
noInclude = [];
for i = 1 : length(fileName)
disp([num2str(i) ' / ' num2str(length(fileName))])
wObj = waveFile2obj(['../media/' fileName{i}]);
wObj.signal = mean(wObj.signal,2);
if strcmp(scale{i... |
%% MyMainScript
tic;
% Training
N = 32*6; d = 112*92;
X = zeros(d, N); % Matrix of all the images d x N
x_bar = zeros(d, 1); % Average image d x 1
cd ../../..; % This is the location where we placed the Image Dataset
for i=1:32
D = strcat('./ORL/s',int2str(i));
S = dir(fullfile(D,'*.pgm'));
for j=1:6
... |
clc
clear all
close all
%Section 4.3: Problem 6
%a.)
%Rx=Q'b
A = [3 -1 2; 4 1 0; -3 2 1; 1 1 5; -2 0 3];
b = [10; 10; -5; 15; 0];
[Q,R] = qr(A);
t0 = Q'*b;
t0 = t0(1:3,:);
R = R(1:3,1:3);
xbar = R\t0;
r = b - A*xbar;
error = sqrt(sum(r.^2));
disp('The least squares solution is');
xbar
disp('The two-norm error is');
e... |
function F = obj_actuator_freq_resp_param(x,amplitude_40, frequency_40, amplitude_100, frequency_100)
% Computes objective function for determination of basic parameters of
% the proportional valve actuator that match the required frequency
% response. The frequency response of a nonlinear system is obtained by
% usi... |
function result = u(time)
%u
%Inputs:
%time: The vector which contains the time-points of the simulation.
%
%return:
%result: The given function *here 5sin(t)+10.5* evaluates at the
% time-points, specified at vector time
%
result = 5 * sin(2 * time) + 10.5; |
function [ d ] = edist( x , y )
%edist euclidean distance between two vectors
d = sqrt( sum( (x-y).^2,2 ) );
|
function [x,functionParams,params,l,u] = gen_case_1(N,T)
%Generate data to be used for optimization
%Input: N - number of wells, T - number of time steps
%Output: x - vector of variables to be optimized
% functionParams - mu and lambda for AL method
% params - array of values for constants
% l - lo... |
% proccesing raw data
% find (ctrl+F) NOTICE before proccessing
% Not used
clear;
addpath F:\IEEE_SENSORS_J\GestureCode\dataset\train
addpath f:\IEEE_SENSORS_J\GestureCode\dataset\test
%% load raw data
% NOTICE: data format:
% [time ax ay az gx gy gz]
load CWV.txt;
test=CWV;
len=size(test,2);
%% coordin... |
function [ combined, newblue ] = process( input_name )
%UNTITLED Summary of this function goes here
% Detailed explanation goes here
close all;
imin = normalize(input_name);
mask = imread('mask.jpg');
red = imin(:,:,1);
red(mask < 255) = 0;
green = imin(:,:,2);
green(mask < 255) = 0;
... |
%Temperature Distribution this will be temperature Distribution function
function [maxDie,tempDist]= TempSolver(Uinf,Tamb,delx,eGenAverage,meshSize)
%CPU parameters
W = 55;
L = 75;
R = W/L;
k = 173;
H = 1; %this should come from main
TdieMax = 68; %degrees celcius
%Properties of H20
mu = 8.5288e-4; %Dynamic Viscoc... |
function [H,pL,pU, Cohens_d, theta_CI] = my_TOST(ref,test,vars)
%[H] = my_TOST(ref,test,vars)
% Input
% ref is vector of reference observations
% test is a vector of test observations
% vars contains all the side settings
% vars.alpha is the confidence level. Default: 0.05
% vars.theta is t... |
function varargout = bash(input)
output = dos(['"C:\Program Files\Git\bin\sh.exe" --login -i -c',' "',input,'"']);
if nargout > 0
varargout{1} = output;
end |
function yp = periodogram(y,frameSize)
for k=1 : frameSize
yp(k)= (abs(y(k))**2)/frameSize;
end
yp;
|
% ---------------------------------------------------------------------
% Book: SFS
% ---------------------------------------------------------------------
% Quantlet: SFStailGPareto
% ---------------------------------------------------------------------
% Description: SFStailGPareto estimates the paramete... |
% load training
load dummy_train_data
% load query
load dummy_test_data
[X_train,y_train] = data_transform_regression(train_data,'query');
[X_test,y_test] = data_transform_regression(test_data,'query');
[y_pred,beta] = linear_regression(X_train,y_train,X_test,1);
fprintf('RMSE: %f\n',rms(y_pred-y_test));
|
% read in uncombined magnitude and phase images
path_mag = '/gpfs/M2Scratch/NCIgb5/hongfu/SPECIMAN/1.10.1/1.10.1.344/1.10.1.344.1.2/1.10.1.344.1.2.7/dicom_series';
path_ph = '/gpfs/M2Scratch/NCIgb5/hongfu/SPECIMAN/1.10.1/1.10.1.344/1.10.1.344.1.2/1.10.1.344.1.2.8/dicom_series';
path_out = '/home/hongfu/NCIgb5_scratch/h... |
% clc;
% clear all;
% close all;
%
% load Target138.mat;
% load Breast138_morph11_auto_new.mat;
% load PC_LBPV138_8ori_6scale_r2p16.mat
% load ./BUS 138/GAresult_gen30_fun1_4; %GA_mRMR结果
% load ./BUS 138/GAresult_gen30_fun0_1; %GA结果
function [AUC,ACC,SENS,SPEC,PPV,NPV,MCC] = libsvm_LOOCV(feature_input, label_target,g... |
function predData = msd_calc_pred_data(pars,nTarg,nLure,output)
% usage:
% predData = msd_calc_pred_data(pars,nTarg,nLure,output)
%
% MSD_CALC_PREDICTED_DATA returns the predicted frequencies, proportions,
% cumulative proportions, and z-values for the MSD model with a
% given set of parameters and criterion locati... |
function Cons = generate_rand_triplets(label, nbCons)
fprintf('Creating %d random triplets\n',nbCons);
n = length(label);
Cons = zeros(3,nbCons);
for i=1:nbCons
idx1 = randi(n);
idxPos = find(label == label(idx1));
idx2 = randsample(idxPos,1);
idxNeg = find(label ~= label(idx1));
idx3 = randsampl... |
function MCplotStimRasterPlot(experiment,stimulusType,StimArea,channels)
parameters=get_parameters;
Path=get_path;
if strcmp(StimArea, 'HP')
chan=1:16;
elseif strcmp(StimArea, 'PFCL2')
chan=17:24;
elseif strcmp(StimArea, 'PFCL5')
chan=25:32;
end
if isnumeric(channels)
csc=channels;
else
[csc,~,~]... |
%% Extracts timecourses from vertices within an ROI mask image, whole brain or virtual electrodes
% Alex C (10/2012)
% Modifications Ece K (10/2015)
% General variable setup
%addpath('/work/imaging8/MEG/bananas_2015_EK/scripts/NIfTI_20140122/');
addpath /imaging/local/meg_misc/
addpath /hpc-software/matlab/cbu/;
clea... |
function dut=cmsEnvelope(fcn,din)
% Creates an envelope from a cell array of distributions
%
% distut=cmsEnvelope(fcn,distin)
%
% Input
% fcn - handle of envelop function, eg @max, @min
% distin - cell array of input distributions
%
% Output
% distout - cell array of output distributions
%
% Example:
% cms... |
mesh = HalfEdgeMesh.importOBJ('flower-pot/flower-pot.obj');
x_offset = 1.e-3;
for i=1:mesh.nv
mesh.v_traits(i).position = mesh.v_traits(i).position + x_offset;
end
v = mesh.allVertices().position();
e = mesh.allEdges().halfedge();
e = [e.from().ind; e.to().ind];
%
% figure(10);
% clf;
% patch('Vertices',v','Faces... |
function infostr = infoload(filename, varargin) %<<<1
% input possibilities:
% filename
% filename, autoextension
% check inputs %<<<2
if ~(nargin==1 || nargin==2)
print_usage()
endif
if nargin == 1
autoextension = 1;
... |
function printMonth(numDays, startDay)
fprintf(' SUN MON TUE WED THR FRI SAT\n')
for n = 1:numDays+startDay
if (n < startDay)
fprintf('%4s', ' ')
end
if (n >= startDay)
fprintf('%3d ', n - startDay + 1)
end
if (mod(n, 7) == 0)
fprintf('\n')
end
end
end
|
function [ ] = plot_2d_field(turbines, turbLoc, flowField, YawAngles)
% Select the flowfield at hub height and accompanying x and y index
if ndims(flowField.U) == 3
[~, ix] = min(abs(flowField.Z(1,1,:)-mean(turbLoc(:,3))));
UatHub = squeeze(flowField.U(:,:,ix));
xVec = squeeze(flowField.... |
function R = roty(theta)
% ROTY Rotation matrix around y-axis.
%
% Other m-files required: none
% Subfunctions: none
% MAT-files required: none
%
% Author: Gabriel Moreira
% email: gmoreira (at) isr.tecnico.ulisboa.pt
% Website: https://www.github.com/gabmoreira/maks
% Last revision: 14-July-2021
... |
function [] = algoritmo3(X,Nmax,e,lam,A,B)
A1=A'*A;
[n,m]=size(A1);
for k=1:n
suma1=0;
for p=1:k-1
suma1=suma1+L(k,p)*u(p,k);
end
L(k,k)=sqrt(A1(k,k)-suma1);
u(k,k)=L(k,k);
for i=k+1:n
suma2=0;
for q=1:k-1
... |
%
global INSTR;
INSTR = {};
%
INSTR.DAQ_V_P_Montana = {'Dev4', 1};
%%
addpath(genpath('Z:\rishipat\InstrumentControl\InstrumentControl\'));
addpath(genpath('Z:\rishipat\matlab_experiment_scripts'));
addpath(genpath('Z:\rishipat\matlab_analysis_scripts'));
addpath(genpath('Z:\wtjiang\measurements\helpers\... |
clear all;
close all;
clc;
N=1000;
x=rand(1000,1);
x=sort(x);
hist(x,30);
maxS=0;
for k=1:N
maxS=max(maxS, abs(k/N-x(k)));
end
maxS |
%% VR -> Matlab
clear;
close all;
w1 = vrworld('Layout_simple1.wrl');
open(w1);
vrfig1 = vrfigure(w1, ...
'Name', 'Virtual world containing source IndexedFaceSet node', ...
'CameraBound', 'off', ...
'CameraPosition',[0 40 0], ...
'CameraDirection',[0 -1 0], ...... |
function viz_trajectory(P)
K = length(P);
%N = length(P{1});
%n = ceil(sqrt(T));
load('Warped_Sequences.mat');
tmp = seqs_warp{1}{1};
del_true = max(tmp(:,1))-min(tmp(:,1));
count = 0;
for m = 1:K
%s_short = sample_sequence(P(m),1);
s_short = P(m);
s = s_short{1};
N = length(s);
for i... |
function [ res ] = w_ni_u_v_integral( params, paramsP, grid,...
tria_index, local_vertex_index, qdeg )
%W_NI_U_V_INTEGRAL Summary of this function goes here
% Detailed explanation goes here
f = @(llcoord) w_ni_u_v_local( llcoord, params, paramsP, grid,...
tria_index, local_vertex_index );
res = 1/2 * interv... |
function [file_ITPCA1,file_ITPCA2,file_PC1,file_PC2] = ITPCALine( varargin )
% ITPCA (Iterated Principal Component Analysis) :
% It performs a calibration of the images based on the linear relation between them. The linear relation
% is related to the first principal component. The use of a initial change mask can imp... |
function Data = removeCrashesFromData(Data)
% Remove crashes
trialToRemove.ID = [3164, 3311, 662, 843, 1365, 1563, 2166, 2466, 2944 ,3011];
trialToRemove.task = [9, 35, 29, 22, 35 ,32 , 14, 35 ,35, 30];
Data = arrayfun(@(a)removeTrial(a, trialToRemove), Data, 'UniformOutput', false);
Data = [Data{:}];
end
function a... |
function O = map(Z, D, R)
%MAP maps the Z from domain "D" to range "R".
%
% O=map(Z): rearange Z from domain unique(Z) to range 1:length(unique(Z))
% O=map(Z, D, R): rearanges Z from domain D to range R.
%
% Example
% -------
% Z = [1 3 3 7]
% O = map(Z) % returns [1 2 2... |
close all
clear all
subject = 'RGcomb'
switch subject
case 'RG1'
pa_datadir JR-RG2-2012-02-22
load JR-RG2-2012-02-22-0001
SupSac = pa_supersac(Sac,Stim,2,1);
case 'RG2'
... |
% Copyright (c) 2017 Zi Wang
% This function is partially adapted from the code for the paper
% Hernández-Lobato J. M., Hoffman M. W. and Ghahramani Z.
% Predictive Entropy Search for Efficient Global Optimization of Black-box
% Functions, In NIPS, 2014.
% https://bitbucket.org/jmh233/codepesnips2014
function results =... |
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% Copyright 2010 - 2015 Moon Express, Inc.
% All Rights Reserved.
%
% PROPRIETARY DATA NOTICE:
% The data herein include Proprietary Data and are restricted under the
% Data Rights provisions of Lunar CATALYST Space Act Agreement
% No. SAAM ID#... |
% Program to solve the integral equation.
clear all
close all
format long
% Declaring symbolic variables
syms y t
% Parameters in the problem.
a = 2;
L = 1; M = 1; n = 2; O = 1;
N = 2; %Degree of approximation
h = (2*a/N);
x = -a:h:a; % Collocation points
x1 = -a:0.01:a; % To plot the profile
T = sym(zeros(N+2,1)); % C... |
function [arruu, arrvv, arrhu, arrhv] = newarrow3(x,y,u,v)
%ive stolen all this coded from quiver.m - AJ
% essentially it does the same but just doesnt plot the results
% this then gets passed out for replotting in the main code
% Arrow head parameters
% arrow length and arrow head can be altered here
% arrow thickne... |
function [template_corr] = calc_stimulus_corr(session_dir,runs,hemi,template,src_area,trg_area,cluster)
% Calculates the correlation between stimulus cross-correlation matrix, and
% a predicted cross-correlation matrix
%
% Usage:
% [template_corr] = calc_stimulus_corr(session_dir,runs,hemi,template,src_area,trg_ar... |
function b = sineSeries(f, L, n)
% Computes n coefficents of the cosine expansion of f over [0, L].
x=L*(0:n)/n;
h=f(x);
h(1)=(h(1)+h(end))/2;
b=2/n*dst(h(1:end-1));
end |
clear all;clc;
input_features = 26; %input feats for particular epoch
min_input_features = 5 ; %min input feats
pin = 0.80;
penalty_factor1 = 1 - ((input_features-min_input_features)*pin);
chide = 150; %total hidden nodes
mhide = 50; %min hidden nodes
phide = 0.4;
penalty_factor2 = 1 - ((chide - mhide)*phide);
i... |
clear;clc;close all;
empty_slots = 0;
used_slots = 0;
collision_slots = 0;
counter = 0;
for round=1:25
num_tag = 20;
num_slot = 26;
slot = zeros(1,num_slot);
tmp = randi(num_slot,1,num_tag);
for idx = 1:num_slot
if sum(tmp==idx)==0
empty_slots = empty_slots+1;
el... |
function str = StrrepLikeRegexprep(str,tokens,replace)
% STRREPLIKEREGEXPREP Replace string with another.
% This function uses STRREP, but uses the input and output format of
% REGEXPREP so it can be easily substituted.
%
% S = STRREPLIKEREGEXPREP(STRING,SEARCH,REPLACE) replaces all occurrences of
% the t... |
% Testing sigshift function
disp(sigshift([1 2 3 4 5], 2)); |
function [hd] = function_hamming_distance(V1, V2)
%% Hamming Distance as power model
dist = bitxor(V1,V2);
hd = reshape(sum(de2bi(dist),2), size(dist));
end
|
% set globals (used by ODE solver)
global tspan;
global Vv;
global RR;
global L;
% set signal parameters
endtime = 8*pi;
fsteps = [1/80,1/60,1/40,1/20,1/10,1/5];
% stepsize = (1/10)*pi;
% preallocate some storage
g_stored = nan(length(fsteps),5);
% TE_stored = struct();
% GC_stored = struct();
% PAI_stored = struct(... |
function extractCoords(fileName)
%EXTRACTCOORDS Run the perl script to extract a virus's xyz coordinates
%
%Syntax:
%
% ejovo.fn.extractCoords(fileName)
%
%Inputs:
%
% fileName - a .pdb file in the form of either xyz.full_'pdbid'.pdb (for
% a full virus) or xyz.'pdbid'.pdb (for the au).
%
%Ex:
%
% ... |
clear all ; close all ;
subs = {'alex','dina','genevieve','jeremie','russell','tegan','valerie'};
scans = {'mc_retino_allstims_01','mc_retino_allstims_02','mc_retino_gamma_01','mc_retino_gamma_02','mc_retino_movie','mc_retino_rest'};
eegscans = {'retino*allstim*01*set','retino*allstim*02*set','retino*gamma*01*s... |
function [ NN ] = backPropLearn( init, train,...
n_epochs, alpha )
%BACKPROPLEARN Summary of this function goes here
% Back propagation learning
% init = initial struct
% train = train struct
% alpha = learning rate
W = init.W;
L = numel(W)+1; % Should be 3 for 1 hidden layer
b = -1; % dat bias
% Ac... |
function [G, w, output] = GRBF_fix(input, target, sigma, mi)
center = input(randperm(length(input)),:);
center = center(1:mi,:);
[G, w, output] = RBF_calculate(input, target, center, sigma); |
function y = custom_fcn(x)
y = 1./(1+exp(-x));
end
|
clear all; close all;
%% Aircraft roll and course controller
%% Constants
% Transformations
deg2rad = pi/180;
rad2deg = 180/pi;
% Aileron
a1 = 2.87;
a2 = -0.65;
%% Controller design
% PID for phi
k_p_phi = -5/3;
k_i_phi = 0;
% Calculating K_d_phi:
wp = sqrt(a2*k_p_phi);
zp = 1;
f_kd = @(zeta, wn) (2*zeta*wn - a... |
function [GammaAngle,zAngle]=finalStep(phi,delta,H,tem,pre)
%函数调用格式:[GammaAngle,zAngle]=FinalStep(phi,delta,H,tem,pre)
%输出参数[方位角GammaAngle(°),天顶角zAngle(°)]
%输入参数(纬度phi,赤纬delta,时角H,温度tem,压强pre)
e0 = asin(sin(phi).*sin(delta)+cos(phi).*cos(delta).*cos(H)); %计算升角e0=arcsin(sinφsinδ+cosφcosδcosH),计算都要弧度
%计算Δpe应该是修... |
function [bool] = IsIn_AntPoint(Arr_1,Arr_2,i,m)
n = size(Arr_2,1);
for j =1:m
if i==j
continue;
end
for k = 1:n
if Arr_1(1,:) == Arr_2(k,:,j)
bool = 1;
return;
end
end
end
bool = 0;
end |
function Akaike_analysis3
% AKAIKE_ANALYSIS
%
% 2013
%% Cleansing
clc;
close all;
clear all;
%% Data stored @
cd('E:\DATA\Cortex\top-down paper data');
thorfiles = dir('thor*');
joefiles = dir('joe*');
files = [thorfiles' joefiles'];
dspFlag = true;
% dspFlag = false;
%% Initialization... |
clear
clc
close all
path = 'sst.nc'
%%
lon = ncread(path, 'longitude')
lat = ncread(path, 'latitude')
sst = ncread(path, 'sst')
%%
lon_area = (lon >= -17 & lon <= 3)
lat_area = (lat >= 48.5 & lat <= 63)
lon = lon(lon_area)
lat = lat(lat_area)
sst = sst(lon_area, lat_area, length(sst)-50*12+1 : length(sst))
%%
[X... |
function [lost assignment femtoquota cascade chains candidate_num]=college_mobi(dis,radius,quota,assign_topo,in_thre,out_thre,o_femtoquota,speed) %dis,( femto * user )
disind=(dis<=radius);
dis=dis.*disind+1000.*(1-disind);
numuser=size(dis,2);
numfemto=size(dis,1); %size的参数，1是行数，2是列数
assignment=assign_topo;
ol... |
function [mask_reg_labeled, P_color]=as_reg_mask(mask,img)
% For a given mask & an image, the function finds the registration between
% the two. The outputs are the registered & labeled mask (each region of
% the mask has a different label according to the labeling done by the
% user. The second output is the color vec... |
function analyse_harm( directory, F0, wid, thr, len, nf )
%
%function analyse_harm( directory [, F0, wid, thr, len, nf ] )
%
% Le repertoire 'directory' doit contenir les fichiers
%au format wav a analyser. Dans un premier temps, le
%repertoire sera prepare grace a PREPARE_DIR, sauf si le
%sous-repertoire '... |
close all
finalIndex = 100;
deltaT = 0.05;
Q = eye(3);
F = 1000*eye(3);
R = eye(2);
%what you measure is just x and y
C = [1 0 0; 0 1 0; 0 0 0];
%standard deviation for the two covariance matrices
sigmaV = .01;
sigmaW = .1;
%Initial x and xhat
x = cell(finalIndex,1);
%The values are the difference between x and the ... |
function [M,S,mean_value] = factorize(measurement_matrix_sub, width_S)
%INPUT
% portion of the measurement matrix
%
%OUTPUT
% an image showing the points in their estimated 3-dimensional position,
% where the yellow dots are the ground truth and the pink dots the tracked
% points from the LKtracker
%- M: The tr... |
function [v,k] = kalmanBest(Aw,Mw,fs)
%
% [v,k] = kalmanBest(Aw,Mw,fs)
% Estimate a smooth depth and depth rate to fit the observed depth, p, in m.
% sampled at rate fs, Hz. Process is a 2-state Kalman
% filter estimating vertical rate and depth, followed by a Rauch smoother.
% Output:
% v ... |
function [ output_args ] = fullsearch(params, lb, up, step, kernel_type)
trn = dlmread('data/rs_train5_no_headers_mini.txt');
tst = dlmread('data/rs_test5_no_headers_mini.txt');
min = Inf;
switch kernel_type
case 'hiperbolic'
min_fun = @(p) svmsa(trn(:, 1:trn_c - 1), trn(:... |
function neighbors=getneighborsU(X,K);
ne=getneighbors(X,K);
[D N]=size(X);
for i=1:N
neighbors{i}=[];
end;
for i=1:N
neighbors{i}=merge(sort(neighbors{i}),sort(ne(:,i)));
for j=1:K
neighbors{ne(j,i)}=merge(neighbors{ne(j,i)}, i);
end;
end;
|
function [surround_idx] = getKxKRegionMask(data, idx, k)
% data: whole matrix
% idx, idx of center pixel
% k: kxk region
% return index of kxk region EXCEPT center
%maskdata at first
data(idx) = -inf;
padded = padarray(data, [size(data, 1) size(data, 2)], inf);
s = size(padded);
N = length(s);
[c1{1:N}] = ndgrid(1:... |
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