text stringlengths 8 6.12M |
|---|
function [lgs_req,domains_req,time_req] = DRMfunc(num_stars,total_obs,range,sc_mass,sc_fuel,sc_isp,sc_max_thrust,total_mission_time,exp_time,exp_acc,max_simult_lgs)
g0 = 9.8066;
idxs = [1 3]; % Only looking at the first and third "stars" in the Fibonacci spiral
phi = acos(1-2.*(idxs-0.5)./num_stars);
theta = pi*(1+sq... |
clear
% Parameters
rM = .05;
rA = .1;
K = 1;
hA = 2;
hM = 0.2;
theta = 0;
lamda = .1;
tau = 5;
% Parameters for changing To
epsilon= .001; %rate of change (positive if To increases, negative if to decreases
maxenv = 7.5; %Maximum To (used only when simulating a deteriorating environment)
minenv = ... |
%interpolation
A = rand(1,2);
B = rand(10,2);
xq1 = -3:.01:3;
v1 = spline(B(:,1),B(:,2),xq1);
v = pchip(B(:,1),B(:,2),xq1);
plot(v);
plot(v1);
%compute Euclidean distances:
distances = sqrt(sum(bsxfun(@minus, B, A).^2,2));
%find the smallest distance and use that as an index into B:
closest = B(find(di... |
function y = apply_multiple_ouput(f, g, x)
% apply_multiple_ouput - compose multiple arguments functions
%
% y = apply_multiple_ouput(f, g, x);
%
% compute y=f(g(x)) where f takes several input and g computes several outputs.
%
% Copyright (c) 2010 Gabriel Peyre
if not(nargout(g)==nargin(f))
error('one must h... |
function pvstar = satvappr(T)
% saturation vapor pressure from the clausius-clapeyron equation
% input [K] output [Pa]
ptrip = 611.65; % Pa
Ttrip = 273.16; % K
E0v = 2.3740e6; % J/kg
Rv = 461; % J/kg/K
cvv = 1418; % J/kg/K
cvl = 4119; % J/kg/K
cpv = cvv + Rv; % J/kg/K%
pvstar = ptrip.*(T./Ttrip).^((cpv-c... |
function class_mem = class_Memberships(x, y, u, sigma, mask, beta)
%CLASS_MEMBERSHIPS Summary of this function goes here
% Detailed explanation goes here
likelihood = zeros(size(x,1),size(x,2),3);
prior = zeros(size(x,1),size(x,2),3);
class_mem = zeros(size(x,1),size(x,2),3);
for i=1:3
likelihood(:,:,i) = (1/(s... |
function [S,NlogL,optimInfo]...
=gmcluster(X,k,start,reps, CovType,SharedCov, RegV, options,probtol)
%GMCLUSTER Gaussian mixture fit.
% S = GMCLUSTER(X,K) fits a K-component Gaussian mixture model to the
% data. The fit maximizes the log-likelihood of the data using
% Expectation Maximization (EM). Rows of X... |
% Get distance between two markers
% Tim Dorn
% April 2009
%
% --------------------------------------------------------------------
% Usage: [distXYZ, distAVR, distAVRNORM, midpt] = getDistance2Markers(markerStruct, M1, M2)
% --------------------------------------------------------------------
%
% Inputs: m... |
iclear
fid=fopen('memory_hex.txt');
A=fscanf(fid,'%s '); %最後項為size，表示讀入二列資料，直到檔案底
fclose(fid);
a = zeros(128);
for i=1:16384
if(A(i*2-1)~='x'&&A(i*2)~='x')
a(ceil(i/128),mod(i,128)) = hex2dec( A(i*2-1:i*2));
else
a(ceil(i/128),mod(i,128)+1)=0;
end
end
figure(1)
imshow(uint8(... |
function DrawGraph(psm, psm_q)
% subplot(1,2,1)
% plot PSM
T_psm = FKine(psm, psm_q);
R = T_psm(1:3,1:3,end);
T = T_psm(1:3,4,end);
trans_homo = rt2tr(R, T);
psm_base = eye(4);
psm_x = T(1);
psm_y = T(2);
psm_z = T(3);
title(sprintf('The position: x:%.4f, y:%... |
function combined_matrix = RBES_combine_DC_matrices(dc_matrices)
combined_matrix = dc_matrices{1};
for i = 2:length(dc_matrices)
combined_matrix = SuperimposeContinuityMatrix(combined_matrix,dc_matrices{i});
end
end |
function [CFG, DATA] = RTK(CFG, DATA, test_idx)
[DATA] = RT_Core(CFG, DATA, test_idx); |
function [ti, th, thd, thdd, tau] = link1(thT, th0, m, a)
T = 10;
%thT = pi; th0 = 0; m = 1; a = 1;
g = 9.81;
con = 2*pi/T; delth = thT -th0;
iner = m*a*a/3; grav = m*g*a/2;
for i = 1:51
ti(i) = (i-1)*T/50;
ang = con*ti(i);
th(i) = th0 + (delth/T)*(ti(i) - sin(ang)/con);
thd(i) = delth*(1... |
function [L,U] = GaxpyLU(A)
% function [L,U] = GaxpyLU(A)
% Gaxpy LU without pivoting.
% GVL4: Algorithm 3.2.2.
% A is nxn and has an LU factorization.
% L is nxn and unit lower triangular.
% U is nxn and upper triangular.
% A = LU.
[n,n] = size(A);
L = eye(n,n);
U = zeros(n,n);
for j=1:n
% Compute v(... |
function [bin_gen, bits] = encoding(min_var, max_var, scale_var, popsize)
bits = ceil(log2((max_var-min_var)./scale_var));
bin_gen = rand(popsize, sum(bits))>0.5; |
%This function calculates the streamfunction and velocity potential
%by converting to a regular staggered grid and outputing on this
%grid.
function [PSI,PHI,LON_p,LAT_p,LON_r,LAT_r,dx,dy] = HelmD(lon,lat,u,v)
% $$$ ,Udiv,Vdiv,Urot,Vrot, ...
% $$$ LON_u,LAT_u,LON_v,LAT_v
%Get x,y:
CF = pi*6371000... |
function [IBI,IBIdoc,time,timedoc,meanIBI,meanIBIdoc,stdIBI,stdIBIdoc]=IBIplot_manythresh(N,xcord,ycord,threshs,threshdoc,switchtimes)
%this funciton computes interbeat intervals of 9 pixels and displays their
%statistics depending of how you set the threshold for getting rid of short
%IBIs (doctoring the IBIs)
%orig... |
G=20;%true number of modes
M=5;%number of modes fit
for ii=1:1
atrue=randn(G,1).*[G:-1:1]';%3.*[G:-1:1]';atrue=atrue(1:G);
NN=0:5000;
%depth_ind=1:length(NN);
depth_ind=[1:50:500];
for n=1:G
Ftrue(:,n) = cos(n.*pi*NN'./NN(end));
end
F1=Ftrue(depth_ind,1:M);
eta_true=Ftrue(depth_ind,:)*atrue... |
% Clear the workspace
close all;
clear all;
sca;
% Here we call some default settings for setting up Psychtoolbox
PsychDefaultSetup(2);
pause(0.5);
Screen('Preference', 'SkipSyncTests', 1);
% Get the screen numbers
screens = Screen('Screens');
% Draw to the external screen if avaliable
screenNumber = max(screen... |
function [data_clean,spindle_det] = remove_spindles(data,f0,varargin)
% Procedure to detect and remove all spindles.
% Load data + remove mean ### check this direction
m = nanmean(data,2);
m = repmat(m,[1 size(data,2)]);
data = data - m;
nelectrodes = size(data,1);
data_clean = data;
if isempty(varargin)
%... |
%% Postural Stability in Lateral Box Transfer task (without exoskeleton segmentation): COM deviation from centre of Base of Support
% Based on "Investigation and Analysis of the Effects of Manual Lifting and Carrying Activities on Postural and Gait Stability in Normal Subjects", Mohammed Alamoudi, University of Miami,... |
n = 500;
Data = [ 10, 0 ; 0 , 3 ] * randn( 2, n );
p1 = [ 63/12*30 ; 107/2.2 ];
p2 = [ 72/12*30 ; 170/2.2 ];
mu = mean( [ p1' ; p2' ] )';
theta = atan2( p2(2)-mu(2), p2(1)-mu(1) );
R = [ sin( theta ) , -cos( theta ) ; cos( theta ) , sin( theta ) ];
Data = R * Data;
[U,V] = eig( Data*Data' );
Data = Data + repmat( mu,... |
function [pv] = random_parent_limitation(EP,pv)
% Randomly pick and remove EP parents from the given parent vector pv (dag column).
while EP > 0
ps = find(pv); % parent set
pi = randi(size(ps,1)); % parent index
pv(ps(pi)) = 0;
EP = EP-1;
end
end |
function [es procSpec] = VR_LFP_power_new...
(animal, iseries, iexp, chan2consider, beh, movingwin, internalRef)
% Calculate the power spectrum at the different frequencies and sample at
% the es rate
global pepNEV
SetDefaultDirs
if nargin<7
internalRef = [];
end
addpath(genpath('..\Behaviour analysis\'))
a... |
function b=Haar(a)
N=size(a); hN=N/2; ru2=sqrt(2);
b=a;
b(1:hN(1),:,:)=(a(1:2:N(1),:,:)+a(2:2:N(1),:,:))/ru2;
b(hN(1)+1:N(1),:,:)=(a(1:2:N(1),:,:)-a(2:2:N(1),:,:))/ru2;
|
function [cmAdjMat, vVertPos, cmImageGraph, cmShuffledAdjMat, vShuffledVertPos] =...
genBlockmodelWithBackground_rec(sPosDist, posNum, numRow, numColumn, unitGraphSize, bShuffle, vBackgroundProp, sBlockmodelType,...
varargin)
%
% Generate blockmodels, using a stocastic blockmodel (generative) model.... |
function [ corners ] = rotateCannonicalBox( cannonBox )
% Rotates the cannonical box to get the four vertices of the arbitrary
% oriented box
%
% Usage:
% corners = rotateCannonicalBox(cannonBox);
%
% Input :
% CannonBox = Cannonical box
%
% Output:
% corners = Four corners... |
function yl = wave_load_ylims
% loads ylims from binary file and returns them as two element vector
[fid, errmsg] = fopen('ylims.bin', 'r');
if ~isempty(errmsg)
warning('something wrong with coordinates');
return;
end
yl = fread(fid,'double');
fclose(fid); |
close all
clear all
clc
%load('tx_data_7.mat');
Q=4;
delta_f=1;
%train=training_10;
nr_bits_train_2=20;
train=randn(1,nr_bits_train_2)+1j*randn(1,nr_bits_train_2);
nr_train_bit=length(train);
nr_data=1000;
nr_guard=2;
nr_blocks=10000;
data=qpsk(randn(2*nr_data,1)>0);
data_pre=qpsk(randn(4*nr_train_bit,1)>0);
seq=[data_... |
function [optval, acc] = xval_svm(X, L, vals, numfolds)
% Split into folds
foldsize = floor(size(X, 1) / numfolds);
train_folds = cell(numfolds, 1);
test_folds = cell(numfolds, 1);
train_L = cell(numfolds, 1);
test_L = cell(numfolds, 1);
for i = 1:numfolds
te = X((i - 1) * foldsize ... |
address = hex2dec('C010'); %Address is the first number of the I/O Range of a COM Port. It is given as a Hexadecimal number but must be converted to decimal.
config_io; %Needs to be run once in the beggining of the script before outp or inp can be used
outp(address, 3)
pause(0.005)
outp(address, 0)
%Useful Link
%htt... |
function WriteCSVBoundaryFile(filename, A)
fid = fopen(filename, 'w');
fprintf(fid, '"Points:0","Points:1","Points:2"\n');
fclose(fid);
dlmwrite(filename, A, '-append', 'precision', '%.6f', 'delimiter', ','); |
function varargout = proj2circle(cfit,X)
% PROJ2CIRCLE projects a set of points to the edge of a specified circle
% Xproj = PROJ2CIRCLE(cfit,X) projects the N points contained in the 3xN
% array X to the edge of a circle specified as a structured array.
%
% X - 3xN array containing points
% cfit -... |
function [] = plotFlux( results, legends )
%UNTITLED Summary of this function goes here
% Detailed explanation goes here
figure
subplot(2,1,1)
hold on;
subplot(2,1,2)
hold on;
plots=[];
colors={'blue' 'magenta' 'cyan' 'red' 'black'};
for iResults = 1:length(results(:,1))
rhosHighway=results{iResults,2};
fl... |
figure
ccLSTM = confusionchart(YTrain,trainPred);
ccLSTM.Title = 'Confusion Chart for LSTM';
|
function imageByLED = hdrCart2Led(image)
%
% Usage: imageByLED = cart2led(image)
%
% Convert the specified image (a 2D or 3D matrix) into a 1 x 1280 vector
% using the mapping information provided by Greg Ward.
%
% Inputs:
% 1. image - a 2D or 3D matrix
%
% Outputs:
% 1. imagebyLED - a 1 x 1280 vector, in which 759... |
%------------------------------------------------------------------------------------
%
% M-file: CpWg.m (Specific heat gaseous water, CpWg. [J/(mol*C)])
%
% Data from Felder, Rousseau "Elementary Principles of Chemical Processes",
% 2nd ed., 1986, John Wiley & Sons, Inc.
% Valid in the temperature range [0-1500]de... |
function y=cons_fun(~,~)
y = true;
end |
function deleteLine(srcBlock, srcPortNum, dstBlock, dstPortNum)
% Deletes a connection between a particular pair of blocks/ports if one exists
%
% deleteLine(srcBlock, srcPortNum, dstBlock, dstPortNum)
%
% Deletes the line connecting srcBlock/srcPortNum to dstBlock/dstPortNum
% if it exists
%
[srcPort, sysName] = make... |
function [training_pixels, p_1, p_2] = Select_Pixel_Class(rgb_image, file)
if file == true
grayImage = imread(rgb_image);
grayImage = RotateRgbImage(grayImage, 90);
else
grayImage = rgb_image;
end
% Get the dimensions of the image. numberOfColorBands should... |
% this matlab file,generate all the frameid that contain object,and unique
% the frameid,output to pos2.txt;to be used for combineTxtlines.m.
clc,clear;
bpath='H:\Resource\Cnds\VOC\ImageSets\Main\';
%% this part first execute
txtnames=dir([bpath '*.txt']);
fida=fopen([bpath 'pos.txt'],'a');%dui ying di yi ge fo... |
function [ output_args ] = untitled( input_args )
%UNTITLED Summary of this function goes here
% Detailed explanation goes here
%% Punto A - Practica 3
%Leemos nuestra imagen DICOM
img=dicomread('brain_014.dcm');
%Le damos un formato doble a nuestra imagen con im2double y luego le
%damos un a... |
error = 9999; %arbitrarily large
h = .01; %step size for shooting corrections
x = 0; % initial guess for dT/Dx(0)
while error > .001
[t,y] = ode45(@MyFunc,[0 1],[200,x]);
cCalc = y(end,1);
cExact = 100;
error = cCalc - cExact;
if error > 0
x = x - h;
end
if error < 0
... |
clear
clc
%function [dF,Spikes,ROI,ROIbases,corr] =
%ConnectivityAnalysis(filename,MinValROI,std_threshold,static_threshold,CellMapFig)
% filename='Videos/Compressed/04_wNP_wmag.tiff';
% MinValROI = 1000;
% std_threshold = 10;
% static_threshold = 0.01;
% CellMapFig=1;
[Image_Stack,num_images,Width,Height]... |
load('xForTraining.mat')
load('labelsForTraining.mat')
load('coeff.mat')
x_ = ExtractFeatures(xForTraining, coeff);
w = sqrt(size(xForTraining, 1));
y = labelsForTraining;
y(y==0) = -1;
y(y==9) = +1;
At = w'*x_ + w0 < 1;%set of active samples
CurrCost = lambda/2*(w'*w) + 1/N*sum((1-(w'*x_ + w0)).*At);
SubGrad... |
function x = lhs(Nsam, k);
for j=1:k,
x(:,j) = randperm(Nsam)'./(Nsam+1); %latin hypercube
end
|
%{
vis2p.StatAreaParams (lookup) #
area_opt : smallint # param index
---
gwin=200 : smallint unsigned # m) gaussian window size to convolve the RF Site Map
glim=50 : smallint # m) distance from reversal in pixels difining inne... |
% Loads data values from file path provided and creates a spline of the
% loaded points.
% Takes in the file path and the number of points the spline should
% interpolate.
% Returns the points in [x;y] format, x,y and the spline function
function [blue,yellow,mids] = loadData(filePathNum,numOfPoints)
% Read csv
[bp,bl... |
function [mat] = arr2mat(arr, rowidx, colidx)
% [mat] = arr2mat(arr, rowidx, colidx)
% Transforms an array to a matrix.
% INPUTS
% arr the array to be transformed
% rowidx array indices that map to rows
% colidx array indices that map to columns (optional)
% OUTPUTS
% m... |
prompt = 'Enter name of image with extension: ';
imgName = input(prompt, 's');
[filepath, name, ext] = fileparts(imgName);
Img = imread(imgName);
[row, col, ch] = size(Img);
new = uint8(zeros(row,col));
prompt = 'Want to enter the weightage for RGB? (y/n) [y]: ';
check = input(prompt, 's');
if isempty(check)
check... |
function wave_save_coordinates(xyz_mm, xSPM)
% just a convenience function that saves st.centre to a file because global
% variables are scary
xyz_vox = mm2voxelb(xyz_mm, xSPM);
fid = fopen('coordinates.bin', 'w');
fwrite(fid, [xyz_vox', xyz_mm], 'double');
fclose(fid); |
function GAoutput=GArun(params,GAparams,fhandle_fitness,station,condition)
% PP=GArun(params,ngen,npop,nelite,nrep,p,func)
%
% Run the genetic algorithm
%
% params: initial gene of parameters, 1-by-(number of parameters)
% ...may also be npop-by-(number of parameters)
% GAparams: a struct with the following fields... |
function [X1_result,Y1_result] = compute_reult(YX_candidate,sample_w,sample_h,SelectKFeatures,I,SelectMIU1,SelectDELTA1,SelectMIU2,SelectDELTA2)
%此函数与用haar特征的MIL的函数compute_reult有不同之处，不同的地方我用%￥￥￥￥￥￥￥￥￥￥￥标记出
K = size(SelectKFeatures,1);
num_candidate = size(YX_candidate,1);
AllFeatures = zeros(num_candidate,K);
YX_all = ... |
format long g;
% Carga de datos
arch_xi = fopen('./utils/Taller-01-P03-X-214.bin', 'r');
Xi = fread(arch_xi, 'double');
arch_yi = fopen('./utils/Taller-01-P03-Y-214.bin', 'r');
Yi = fread(arch_yi, 'double');
% Calculo de covarianza y varianza para calcular a1
covarianza_XY = cov(Xi, Yi);
covarianza_XY = covarian... |
function gEvaluated = g(obj,element,xi,eta)
% g computes the g term of the metric at the local positions
% (xi,eta) for the element. For the crazy grid.
%
% USAGE
% -----
% gEvaluated = obj.g(element,xi,eta)
%
% INPUTS
% ------
% element :: the element number
% (type: int32, size:... |
function layers = basic_cnn_classifier()
layers = [
imageInputLayer([29 29 3]);
convolution2dLayer(5,20,'Stride',2);
reluLayer();
maxPooling2dLayer(2,'Stride',2);
fullyConnectedLayer(2);
softmaxLayer();
classificationLayer();
];
end |
function dataMag = powerLog( data )
%POWERLOG Summary of this function goes here
% Detailed explanation goes here
dataMag = 10 * log10( abs( data ) + eps );
end
|
function [product , ind] = max_product(v,n)
f=1;
t=[];
if iscolumn(v)==1
v=v';
end
if size(v,2)<n
product=0;
ind=-1;
return
end
for i=1:size(v,2)-n+1
for s=1:n
f=f*v(i+s-1);
end
t=[t f];
f=1;
end
product=max(t... |
function plot_PFC_ArmReplay_triggered_spatialprecision(thisdir,label)
load(thisdir,[label '_replay_singlebothjoint'],[label '_replay_replayarm'], ...
'other_cells',[label '_replay_seqmean'],[label '_replay_seqtimes'],[label '_replay_stnd'],...
[label '_Cand_sig_modu_include'],[label '_pSSDarm'],[label '_rep... |
function [delta_nabla_b, delta_nabla_w] = update_mini_batch(training_data, eta_passed)
global psizes
global num_layers
num_layers = numel(psizes);
global biases
global weights
y=psizes(2:end);
global n_training_data
n_training_data = length(traini... |
%Part of exercise 4 and 16, Andrew Banman
%Computes the distance matrix for an arbitrary number of points drawn from
%the flat Torus.
function distances = ex4_torusDistances(numPoints)
%Initialize points and distance matrix.
point_cloud = rand(numPoints,2);
distances = zeros(numPoints);
for i = 1 : numPoints
for ... |
function S = findS(x, n, MATRICES)
S = zeros(n*2,n*2);
for i = 1:(n*3)
S = S + x(i)*MATRICES(:,:,i);
end
S = S + eye(n*2);
end |
function [G, nGrids, nDivs] = GridStructure(n, m)
% GridStructure - Generate a grid deviding the first octant by polar
% coordinates. Each element of grid is given by (m-1) integer numbers.
% The structure is similar to that given by polar coordinates.
%
% [G, nGrids, nDivs] = GridStructure(n, m)
%
% Input:
... |
function adjacencyMatrix = RemoveRandomNeighbour( adjacencyMatrix, f )
nodesToRemove = round(size(adjacencyMatrix,1) * f);
for i = 1:nodesToRemove
randomNodeIndex = randi(size(adjacencyMatrix,1));
candidates = find(adjacencyMatrix(randomNodeIndex,:) == 1);
if (numel(candidates) > 0)
candidate... |
clear all;
h = 0.1; % zadana dokładność przybliżenia
a = 1;
b = 9;
x = [ a : 0.01 : b ]; % przedział na którym liczymy pochodne
% liczymy wszystkie pochodne metodą nr 1 - dokładność O(h)
for i = 1 : size(x,2)
da1(i) = ( exp(x(i)+h) - exp(x(i)) ) / h;
db1(i) = ( exp(-(x(i)+h)*(x(i)+h)) - exp(-(x(i)*x... |
% 2019-03-08 AndyP
% algorithm for determining nearest position sample-to-stimulus sample
% get time of stim onset, timeOut0
% compute time+diff(time0) to end of stimulus, determined by timeOutStop0 or end of trial
% interpolate time of stim to nearest position timestamp
|
classdef resonatorReadout < qes.measurement.prob
% a resonator readout multiple qubits
% % data: 1 by 2^(number of qubits)
% Copyright 2016 Yulin Wu, University of Science and Technology of China
% mail4ywu@gmail.com/mail4ywu@icloud.com
properties
n
delay = 0 % syncDelay is added auto... |
% Q-2(b)
function Q2B(f, p)
len = size(p);
len = len(2);
x = floor(sqrt(len));
y = len / x;
img = cell(1, len);
for i = 1:len
subplot(x,y,i)
img{i} = Q2(f, p(i));
imshow(img{i});
title("Compressed image for rank: " + p(i));
end
end |
%% transform T2 slices. From 512x512 to 256x256
% input T2Slices_SZ512.mat,
% output T1Slices_SZ512.mat
load('T2Slices_SZ512.mat')
pos = [50, 490, 80, 430];
NUMROWS = 256; NUMCOLS = 256;
T2Slices = single([]);
for i =1 : size(data,3)
im = flipud(data(:,:, i)') ;
im = single(im(pos(1): pos(2), pos(3) :... |
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%E90: P300 Offline Implementation
%Spring 2021
%Code by Rekha Crawford
%
%Description:
%Loads data for specified participant number, creates K-Folds, runs
%classifer, makes confusion matricies, saves data to "Data/paperA0x" where
%wher... |
clear, clc
syms u1 u2 u3 s t1 t2
u = [u1; u2; u3];
R = (2 * s * s - 1) * eye(3) + 2 * (u * transpose(u) - s * skew(u));
q = transpose(sym('q%d%d', [4, 3]));
qq = transpose(sym('qq%d%d', [4, 3]));
t = [t1; t2; 1];
E = skew(t) * R;
eqs = sym(zeros(5, 1));
eqs(1) = transpose(qq(:, 1)) * E * q(:, 1);
eqs(2) = transpos... |
function [ y ] = phaseErrorPdf(x,A,sigma,phase )
%phaseErrorPdf Calculates the PDF of phase error for a vector with noise
%[ y ] = phaseErrorPdf(x,A,sigma,phase )
%
%This function calculates the pdf of the phase error for a 2d vector
%length A with additive uncorrelated noise with standard deviation sigma
%
% x: (vect... |
function Xguess = RLonestep(Xguess, Htf, PSFstack, CompMeasure)
volumeResolution = size(Xguess);
HXguess = forwardProjectWFvolume( PSFstack, Xguess );
HXguessBack = forwardProjectWFvolume( PSFstack, HXguess );
errorBack = Htf./HXguessBack;
Xguess = Xguess.*errorBack;
Xguess = Xguess.*CompMeasure;
Xguess(fi... |
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% endfire
% refer to "A Dual-Microphone Speech Enhancement Algorithm
% Based on the Coherence Function"
%
% broadside
% refer to "A coherence-based noise reduction algorithm for binaural
% hearing aids"
%
%
%%%%%%%%%%%%%%%... |
%addpath(fullfile(pwd,'TOOLBOX'));
%addpath(fullfile(pwd,'images'));
%Sobel Edge Detection
I = imread('rocks.jpg');
I_gray = rgb2gray(I);
I_gray_double = double(I_gray);
f_ori = figure,imshow(I_gray_double);
message = sprintf('Sobel Edge Detection');
f_c = figure, I_sobel = sobelEdgeDetection(I_gray_double);
imshow... |
function test_power
% Test code for the quaternion power function (.^).
% This also tests the exponential and log functions, plus sqrt/conj etc.
% Copyright © 2008 Stephen J. Sangwine and Nicolas Le Bihan.
% See the file : Copyright.m for further details.
disp('Testing power function (.^) ...');
T = 1e-12;
q = qua... |
function [ mol_return, energy, accepted ] = getOptimizedStructure( mol, ...
accepted, MAX_ROTATE )
%This function take the system given in the array mol and
%rotates each atom around the oxygen atoms to give an optimized
% structure according to ice rules:
% 1. Every oxygen... |
function [acVal] = aco(HighPrice,LowPrice,nDay,mDay)
% accelerator oscillator
% 输入 【数据】HighPrice, LowPrice （时间 X 股票矩阵）
% 【参数】nDay, mDay 快速和慢速移动平均回溯天数 （默认 5， 34）
% daniel 2013/4/16
% 预处理
if nargin <2, error('not enough input');end
if ~exist('nDay','var'), nDay = 5; end
if ~exist('mDay','var'), mDay = 34; end
if... |
function Create_data_66_large()
load '../models/pdm/pdm_66_multi_pie';
load '../models/tri_66.mat';
% This script uses the same format used for patch expert training, and
% expects the data to be there (this can be found in
% https://github.com/TadasBaltrusaitis/CCNF)
% Replace with your location of training data
da... |
% $Header: svn://.../trunk/AMIGO2R2016/Preprocessor/AMIGO_gen_intrinsic_C.m 770 2013-08-06 09:41:45Z attila $
% AMIGO_gen_intrinsic_fortran: translates intrinsic funtions to fortran
%
%******************************************************************************
% AMIGO2: dynamic modeling, optimization and control of ... |
function [newPop] = roulette_wheel(pop,fitness,popsize)
%Input: pop - population string in binary (popsizexl)
% l is string length
% fitness - fitness values for each string
%Output: newPop - new population after roulette wheel based selection
newPop = pop;
% This part is to scale the negati... |
function [ nndata ] = Rescale( psi,eta,data)
% Rescale is a scaling method based on density-ratio
% please see the paper for parameter settings.
%INPUTS
% psi = the resolution for scaling (default value is 100)
% eta = the radius of eta-neigbourhood (default value is 0.1)
% data = data set (m,n); m-objects, n-variab... |
function [topwords,times_used]=mostusedwords(document)
words=strread(document,'%s','delimiter',' ');
words=selectionSort_word(words);
%modify remove duplicates algorithm to create topwords/times_used
nodups=[];
z=0;
y=0;
for i=1:length(words)
if ~iswordmember(words{i},nodups)
... |
function T = rotk(k)
T = eye(4);
angle = norm(k);
if (angle ~= 0.0)
vec = k / angle;
kx = vec(1);
ky = vec(2);
kz = vec(3);
s = sin(angle);
c = cos(angle);
v = 1-c;
T(1,1) = kx*kx*v + c;
T(1,2) = kx*ky*v - kz*s;
T(1,3) = kx*kz*v + ky*s;
T(2,1) = kx*ky*v + kz*s;
... |
function x = BMPSK_mod(data,A,level,bias_ratio)
%BMPSK_MOD 偏置相移键控(Biased Multiple Phase-Shift Keying)电平映射函数
% 先做幅度为A且M=2^level的MPSK, 然后将所有点向右平移A*bias_ratio
%
% 输入参数:
% data 1*n double 待映射比特串
% A 1*1 double 电平幅度
% level 1,2,3 每电平比特数
% bias_ratio [0,1] double 偏置系数
% ... |
%[sh, cw_valid, iter] = ldpc_decode_hard(LLRin, H, max_iter)
%
% Hard decoding of LDPC codes using Bit Flipping algorithm.
% Input LLR vector is converted to hardbit.
%
% Arguments:
% LLRin - vector of LLR
% H - parity check matrix
% max_iter - maximum nuber of iterations.
%
% Returns:
% sh - bi... |
function mVec = computeCoeffMatrixMulFluxForm(REFS, DOPS, xVec, sysDex)
%% Set the dimensions
OPS = REFS.NX * REFS.NZ;
%% Carry out the block multiply (TO DO: THIS CAN BE PARALLELIZED)
if isempty(sysDex)
sysDex = 1:(4 * OPS);
end
zVec = zeros(4 * OPS, 1);
zVec(sysDex) = xVec;
udex ... |
function [res,ov] = procfork2(fork,dstr,tx)
if nargin == 2
tx = dstr;
dstr = fork;
fork = 'rotafork2';
end
addpath /rota/Analysis/Fork
hdata = nmrdata_update(dstr);
for xx = {'demag_E','demag_K','demag_L','low_T'}
fdat = load_fork_data([dstr '-' fork '-' xx{1} '.dat']);
if ~isempty(fdat), break; end... |
% simple wrapper for kappa function
function [y] = kappa(x, alpha, const)
if nargin < 3
const = 1;
end
if nargin < 2
alpha = 1;
end
y = 1./sqrt(const+pi/8*alpha*alpha*x);
|
%plot for explaining the configuration of the diagnostic
Figure_Default_Setting;
figure;
hold on;
%grid on;
%Plot a unit circle
dtheta=pi/100;
theta=0:dtheta:2*pi;
plot(cos(theta),sin(theta),'k');
axis equal;
meas_center=[0.5 0];
meas_radius=0.1;
axis off;
camera_box_center=1+0.2;
camera_box_length=0.2;
camera_box_wi... |
%% calculate the gas oil ratio given oil pressure
function [Rs] = gas_oil_ratio(pressure, fluid, grid)
Rs = zeros(grid.blocknums,1);
for i = 1 : grid.blocknums
if pressure(i) <= fluid.bubblePressure
Rs(i) = (178.11^2)/5.615 * ((pressure(i)/fluid.bubblePressure)^1.3);
else
Rs(i) = (178.1... |
function data=Ratio_of_50_to_90(data)
window_size = 128;
totalwindow=length(data);
for windowindex=1:totalwindow
tempwindow=data(windowindex).winSound;
[Pxx,w] = pwelch(tempwindow,window_size);
Pxx=Pxx/sum(Pxx);
total_sum=0;
index_90=0;
while (total_sum < 0.90)
index_90=ind... |
function [yPredicted,yTrainPredicted,classifier] = apply_classifier_ICA(training,testing,varargin)
%TEST_CLASSIFIER extract features that will be used later by the
%classifier
% YPREDICTED = TEST_CLASSIFIER(TRAINING,TESTING). training and testing
% are structures where the temporal features(training.features.temp... |
function [scores,blvals] = matching(file,mode)
%% reading pairs to be tested from file
f= fopen(file);
data = textscan(f,'%s %s');
fclose(f);
a = data{1,1};
b = data{1,2};
len = length(a);
scores = zeros(len);
blvals = zeros(len);
% i = 12313;
% score = Loc_based(a{i},b{i});
for i = 1:1:len
if mode == 0 % using... |
function [L, best_begin] = find_tracks( M, SC )
% number of tracks we want to find (tracks not indexes, i.e. indexes + 1 )
% cost matrix(t,j) cost of song width j starting at time t
[T, W] = size(SC);
V = -inf( M, T );
P = nan( M, T ); % points to end of previous song in best partition
%cost of one track accross al... |
clc
close all
clear all
t=-3:0.01:3;
x= exp(-0.7.*t).*(t>0 & t<1);
h= (1+t).*(t>0 & t<2);
subplot(4,1,1);
plot(t,x);
axis([-1 5 -3 3]);
grid on;
title('x(t)');
xlabel('t');
ylabel('x(t)');
subplot(4,1,2);
plot(t,h);
axis([-1 5 -3 3]);
grid on;
title('h(t)');
xlabel('t');
ylabel('h(t)');
p=length(x);
q=length(h)... |
function [ region ] = fetchregion( latRange, longRange, varargin )
%FETCHREGION Retrieves a region of USGS elevation data
% Downloads, extracts, and indexes all 1x1 degree latitude/longitude
% cells necessary to cover the specified latitude and longitude range
% from the USGS database (1/3 arc-second, GridFloat f... |
function out = powerPlot(vsfp_data)
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% Function to calculate power in specific frequency bands across each
% pixel in vsfp imaging data
%
% Usage: out = powerPlot(vsfp_data)
% where out is the matrix with power
%
%%%%%%%%%%%%%%%%... |
function varargout = cuentafiguras(varargin)
% FINAL MATLAB code for cuentafiguras.fig
% cuentafiguras, by itself, creates a new cuentafiguras or raises the existing
% singleton*.
%
% H = cuentafiguras returns the handle to a new cuentafiguras or the handle to
% the existing singleton*.
%
% cue... |
function [on,off] = parsecondonoff(ex,dataset,CondDCh,MarkDCh,lsr)
%PARSECONDONOFF Try to get the most accurate timing of Condition On/Off
% Detailed explanation goes here
import NeuroAnalysis.Experica.*
nct = length(ex.CondTest.CondIndex);
on = [];off=[];
if ~isempty(dataset) && isfield(dataset,'digital')
markd... |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.