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function [coefs, centr_coefs] = mel_cepstrum(spectrum, ncepstrum)
%MEL_CEPSTRUM calculates the mel cepstrum coefficients given the spectrum of
%the signal
log_spectrum = log(spectrum);
[K, N] = size(spectrum);
n = (1:ncepstrum)';
k = (1:K);
W = cos(n.*(k-.5)*pi/K);
coefs = W*log_spectrum;
centr_coefs = (coe... |
% Interactive Image Shortest Path on an Image
% Author: Salaheddin Hosseinzadeh
% Created on: 19/ Feb / 2016
% Last Rev:
% Notes:
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% ShortestPath_V1() gets a binary image and determines the shortest path between two
% points on the image usi... |
clear all
% Q = csvread('luminance.csv');
Q = [16 11 10 16 24 40 51 61; %luminance
12 12 14 19 26 58 60 55;
14 13 16 24 40 57 69 56;
14 17 22 29 51 87 80 62;
18 22 37 56 68 109 103 77;
24 35 55 64 81 104 113 92;
49 64 78 87 103 121 120 101;
72 92 95 98 112 100 103 99];
% Fungsi... |
function S = hammersley(D,N)
% HAMMERSLEY - Hammersley quasi-random sequence
%
% S = HAMMERSLEY(D,N) Generates N numbers from a D-dimensional
% Hammersley quasirandom sequence using successive primes
% as bases except for the last dimension which has the form
% [1:N]'/N-1/2/N (where the last term modifie... |
function autosize(display_flag, grade_input, accel_input, dv_bounds)
%function autosize(display_flag, grade_goals, accel_goals, grade_tols, accel_tols, dv_bounds)
%function autosize(grade_mph,grade_grade,accel_0_18,accel_0_30,accel_0_60,accel_40_60,accel_0_85,grade_mph_tol,grade_grade_tol,accel_0_18_tol,accel_0_30... |
function [vioData, vioLabels] = violinData2(paraData, specSize)
vecSize = 0;
for g = 1:specSize
currSize = size(paraData(:,g),1);
vecSize = vecSize + currSize;
end
% violins will be ordered alphabetically
regNames = 'b1'; % violins will be
vecStart = 1;
vioData = zeros(vecSize,1);
vioLabels = c... |
% Dynamic/static Self-Organizing Map
function result = som_ds_h(input)
%% Checking input dimension
if size(input, 1) ~= 1
error('Wrong input row size');
elseif size(input, 2) ~= 30
error('Wrong input column size');
end
%% Input computation
global som_net_1 som_1_clusters;
... |
function [] = proc_eps_chi_proc(basedir, rfid, Eps, S, save_name)
%% [] proc_eps_chi_proc(basedir, rfid, Eps, S, [save_name])
% This function drives the epsilon processing of the Pitot-tube
% for a single raw-files
%
% INPUT
% basedir : unit directory
% rfid : raw-file name
... |
close all
clear all
%% 11.23(b) %%
load('hw4data.mat');
%W = W5; % small case
W = W10; % medium case
%W = W50; % large case
[n,n] = size(W);
cvx_begin sdp
variable X(n,n) symmetric
minimize ( trace(W*X) )
subject to
diag(X) == 1;
X >= 0;
cvx_end
% SDP lower bound d_prime
opt_value ... |
function COR=ftr_r2(datafiles,predt,postdt,chs,cmode,tgtmrk)
%r2=ftr_r2(datafiles,predt,postdt,chs,cmode,tgtmrk)
% Calculate the correlation measure between a BCI target and fft-features.
% 'datafiles' is a cell array of file names pointing to the eeg data to
% be processed. The eeg data in all data-files should be u... |
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% Copyright (C) 2020 TU Graz, ETH Zurich.
%
% Licensed under the Apache License, Version 2.0 (the "License");
% you may not use this file except in ... |
function linelaser_calibration_rgb()
%linelaser_calibration ラインレーザのCalibration
%
%.matファイルから変数群の呼び出し
load fishparams.mat fisheyeParams
load setup_rgb.mat linelaser_folder laser_step squareSize laser_time_margin ...
margin bright_r_thr ref_circle_radi ref_r_thr ref_arcwidth linelaser_file_num ... |
% This program forms the complex bus impedance matrix by the method
% of building algorithm. Bus zero is taken as reference.
% Copyright (c) 1998 by H. Saadat
function [Zbus] = zbuild(linedata)
nl = linedata(:,1); nr = linedata(:,2); R = linedata(:,3);
X = linedata(:,4);
nbr=length(linedata(:,1)); nbus = max... |
%The first section of this code is here for the purposes of exploring
%different values of AR+WN paramaters in order to match the power spectra
%that we found in real data. Below that section is the section of code
%that emplots ASLnoise_eff_112905, which computes efficiency, power, etc
%for the different models.
... |
% newstring = strrepNum(oldstring, startpoint, endpoint, newtext)
%
% Replaces a section from string OLDSTRING with string NEWTEXT. The
% section is defined with numerical positions STARTPOINT and ENDPOINT.
%
% Unlike strrep, this works based on NUMERICAL POSITION within the string,
% not based on a character substrin... |
function [dilation] = dilation_matlab_kernel_Hill_lowbaseline2(c, t, NO_Mult, stim_duration, NO_sens, basalGC, Hz, radius)
HOME = pwd;
cd('C:\Users\wdh130\Documents\MATLAB\NOFeedbackData')
delay = 6; %kernel size
% delay = 15; %kernel size
if t <= 0
try
delete NO_history_temp2.csv
catch
... |
% Mission Planner Log Attitude Analysis
% Rev 2.0
close all; clc; clear; format compact
% pathname = uigetfile('C:\Users\Jordan Kirby\Dropbox\Vehicle Logs\', 'MATLAB Log File');
[filename, pathname, filterindex] = uigetfile( ...
{ '*.mat','MAT-files (*.mat)'}, ...
'Pick File(s)', ...
'MultiSelec... |
function [score] = mlr2_csm_score(beta,FeaturesBundle,targetBundle)
%CSM_SCORE : Cumilitative Success Model Score
end
|
%{
# subject.LineAllele
-> subject.Line
-> subject.Allele
%}
classdef LineAllele < dj.Lookup
properties
contents = {
'VGAT-ChR2-EYFP', 'VGAT-ChR2-EYFP'
'Ai93-Emx1', 'Ai93'
'Ai93-Emx1', 'Emx1-Cre'
'Thy1-GP5.3', 'Thy1-GP5.3'
'Thy1-YFP', 'Thy1-YFP'
... |
function s=POP(im, bParams, qParams, cartImage)
% Apply polar onion peeling method for analyzing VMI images. The code
% implements the method shown at G.M. Roberts et-al Rev. Sci. Instr. 80, 053104 (2009)
% The code is limited to images no larger than 1024x1024 pixels, and uses
% arbitrary (even) beta parameters.
%
% I... |
function [T] = rot(u, theta)
% This function generates a DCM corresponding to rotation
% theta radians about a vector u.
ux = u(1);
uy = u(2);
uz = u(3);
T = [ux^2*(1-cos(theta))+cos(theta), ux*uy*(1-cos(theta))-uz*sin(theta), ux*uz*(1-cos(theta))+uy*sin(theta);
ux*uy*(1-cos(theta))+uz*sin(theta), uy^2*(... |
function [inputMovie, ResultsOutOriginal] = turboregMovie(inputMovie, varargin)
% Motion corrects (using turboreg) a movie.
% - Both turboreg (to get 2D translation coordinates) and registering images (transfturboreg, imwarp, imtransform) have been parallelized.
% - Can also turboreg to one set of images and app... |
%% Calculate 2DEG condunctivity
%% \sigma = N e \mu
% Sigma = Electrical Conductivity
% e = Electron Charge
% mu = Electron Mobility
% From [1]
% [1] Computational model of 2DEG mobility in AlGaN/GaN heterostructures
% Karine Abgaryan*, Ilya Mutigullin, and Dmitry Reviznikov
% Phys. Status Solidi C 12, No. 4–5, 460... |
clc;
close all;
clear;
x=imread('cameraman.tif');
subplot(3,3,1);
imshow(x);
for i=1:8
a=bitget(x,i);
a=a*255;
subplot(3,3,i+1);
imshow(a);
end
|
%% Stelling 3
%
% In de onderstaande code worden twee vectoren (vec1
% en vec2) element-by-element met elkaar vermenigvuldigd:
%
% ------------code--------------
% vec1 = 0:10;
% vec2 = 1:11;... |
function TE_mode_field = TE_field(beta,index_mesh,x,k_zero)
% Determines TE optical field for all layers
%
% x - grid created in mesh_x.m
TotalMesh = length(x); % total number of mesh points
%
zz=beta*k_zero;
%
% Creation of constants at each mesh point
kappa = 0;
for n = 1:(TotalMesh)
kappa(n)=sqrt((k_zero*index_m... |
function step3_generate_surface_domain(gridfile,ensemblefile,nparam)
% input, 1. 'global_sparse_grid.txt': sites information
% input, 2. ALM_param.txt: parameter ensembles
% input, 3, nvar: number of variable want to tune
% output, surface and domain files, ready to be used by ELM-ECA-CNP
ngrids = numel(textread(grid... |
function crystal_id = getCrystalIDbyLUTmap(points2d,LUT_struct)
%GETCRYSTALIDBYLUTMAP Summary of this function goes here
% Detailed explanation goes here
xx = LUT_struct.xx;
yy = LUT_struct.yy;
LUT = LUT_struct.LUT;
% xx_id = nan(size(points2d,2),1);
% yy_id = xx_id;
% for ii_x = 1:size(xx,2)
% idx = abs(point... |
% initial
clear;
votes;mpparty;mpsex;mpdistrict;
w = rand(100, 31);
epochs = 100;
eta = 0.2;
% create output grids
[x, y] = meshgrid(1 : 10, 1 : 10);
xpos = reshape(x, 1, 100);
ypos = reshape(y, 1, 100);
mand = pdist2([xpos' ypos'], [xpos' ypos'], 'cityblock');
for i = 1 : epochs
% updata neighbor
neighbor = ... |
x = load('sat.trn');
|
function [fsoft, fbone, fmetal, pho] = materialSegmentationMetalSharp( u, muSoft, muBone, muMetal )
% Material segmentation with sharp transitision between softtissue and
% bone
% Input:
% img - image to segment
% muSoft - attenuation of soft tissue
% muBone - attenuation of bone... |
function plotCartesianConfigSpace(kC,jointLimits,panHeight,legNum,color)
vecLength = 20;
%Generate vectors for alpha, beta and gamma.
alpha = linspace(jointLimits(1,1),jointLimits(2,1),vecLength);
gamma = linspace(jointLimits(1,3),jointLimits(2,3),vecLength);
beta = asin((-panHeight+kC.... |
% gaussian proposal function test
clear; close all
% dis = gmdistribution([2; 4.6; 7.8], cat(3, 1, .5, .5), [.3, .3, .3]);
% t = 0 : .05 : 12;
% plot(t, pdf(dis, t'));
% figure;
% hist(random(dis, 1000), 50);
% function 2
func2 = @(x) sin(x.^2);
mu = linspace(-2*pi, 2*pi, 10)';
ww = ones(1, 10);
dist2 = gmdistributio... |
function [E] = cost_function(Y, Yd, type)
%COST_FUNCTION compute the error between Yd and Y
% inputs:
% o Y (PxM) Output of the last layer of the network, should match
% Y
% o Yd (PxM) Ground truth
% o type (string) type of the cost evaluation function
% outputs:
% o E (scalar) The err... |
% cr1-nmf algorithm
% See Z. Liu and V. Y. F. Tan, "Relative Error Bounds for Nonnegative Matrix
% Factorization under a Geometric Assumption"
%
% [W,H] = cr1nmf( V,K )
%
% Input.
% V : (F x N) matrix to factorize
% K : latent dimensionality
%
% Output.
% (W,H) : final nonnega... |
%KMeansRGB.m is a function that partitions the points, in an image, into k
%clusters. Computation is done using the the k-means algorithm.
%Inputs: image = 3D array with m rows, n columns and 3 layers, containing
% an RGB image.
% inimean = 3D array containing k rows, 1 column and 3 layers which
% ... |
% Solving coupled wave equations for SFG and DFG
% Source: W. R. Boyd Nonlinear Optics (2nd ed. 2003)
z_max = 10;
z_min = 0;
N = 400;
z_stp = (z_max-z_min)/(N-1);
z = (z_min:z_stp:z_max)';
vec_0 = [1;0;0];
[Z, SFG_ode45] = ode45(@func_SFG, z, vec_0);
[Z, DFG_ode45] = ode45(@func_DFG, z, vec_0);
figure('... |
function plot_momentum_vs_delta_and_growth_rate(pa,boa,cs,gr,index_p, index_bo, CASE_ID)
ss=get(0,'ScreenSize'); % [left, bottom, width, height]
figure('Position',[ss(3)*0.2,ss(4)*0.3,ss(3)*0.6, ss(4)*0.45])
% index_bo=find(round(boa,2)==b0val,1);
subplot(1,2,1)
Deltas=squeeze(cs(:,index_bo));
%fprintf(1,'length o... |
% E1
a = 0:0.1:2;
b = ones(length(a),1);
a*b
b*a
a.*b
b.*a
% a) Ce lungime trebuie s? aib? b astfel ca s? aib? sens înmul?irea (în sens matricial) a*b?
%Ini?ializa?i în MATLAB cei doi vectori ?i realiza?i înmul?irea.Ce opera?ie se efectueaz??
%Raspus : b trebuie sa aiba un numar de linii egal cu numarul d... |
function toggleGridDisplay(frame)
%TOGGLEGRIDDISPLAY One-line description here, please.
%
% Inputs:
% - frame: instance of PolygonsManagerMainFrame
% Outputs : none
%
% Example
% toggleGridDisplay
%
% See also
%
% ------
% Author: David Legland
% e-mail: david.legland@inra.fr
% Created: 2018-03-20, ... |
function [a_sez,b_sez,polQ] = ONbaza(n,ro,am,bm)
%funkcija vrne ortonormirano bazo polinomov do stopnje n glede na nek prej
%določen skalarni produkt (ro je utež skalarnega produkta, ki ga računamo
%integral po intervalu [am,bm])
%vhod:
%n ... najvišja stopnja polinomov, ki sestavljajo bazo
%ro ... utež skalarnega prod... |
function d = point_to_segment(x,y,x2,y2,x3,y3)
%
% d est la distance euclidienne de P(x,y) au segment [P2(x2,y2),P3(x3,y3)]
%
A = zeros(2,2);
dif = [x3-x2 , y3-y2 , 0]; % P3 - P2
A(1,1) = dot([x3 y3 0],dif); % (P3 | P3 - P2]
A(1,2) = dot([x2 y2 0],dif); % (P2 | P3 - P2]
A(2,:) = [1 1];
%
b = [dot([x y 0],dif);1];
sol =... |
root = 'C:\Matlab_files\NTIP\SCIn'; |
function [init_membership,final,bias,res_image,membership,objlist,means] = Q1(img_mri_masked,mask,init_means,ne_mask,q)
obj = 10000;
prev_obj = 0;
trip_img = permute(cat(3,img_mri_masked,img_mri_masked,img_mri_masked),[3,1,2]);
init_dist = (trip_img - init_means).^2;
init_dist(init_dist<=0) = 10000;
dist_mask = perm... |
classdef IOCInstance < handle
properties
delta = 5e-4; % delta for numerical gradients
winSize = 3; % window length to consider to calculate the basis features
dynamicModel;
features; % cost function features
basisFeatureFlags; % a list of the basis features to calc... |
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%% Toolbox for Synthetic Neurobiology Group's ExM crew (Beta)
%% Written by YGYOON on 02/11/2016.
%% Updated by XX on XX/XX/2016.
%% Updated by XX on XX/XX/2016.
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
... |
function testaudio()
sampleRate = 44100;
duration = 0.5;
freqs = [100 200 300 400 500 600 700 800 900 1000 1100 1200];
[signal t] = generateTone(freqs, sampleRate, duration);
sound(signal, sampleRate);
%generates a tone (pure or complex)
function [y t] = generateTone(freqs, sampleRate, duration)
timeSamples = d... |
function dat = handle_missing_in_qualitative(raw)
dat = [];
for i = 1:length(raw)
val = raw(i);
if iscell(val)
val = cell2mat(val);
end
if isnan(val)
dat{i} = 'other';
else
dat{i} = val;
end
end |
clc
clear
close all
load 'IR_DATASET'
%sim('test_16a.slx');
New_IR_Change(1)=IR(1);
Time_Change(1)=TI(1);
aa=2;
for ii=1:length(IR)-1
if ((IR(ii+1)-IR(ii))~=0)
New_IR_Change(aa)=IR(ii+1);
Time_Change(aa)=TI(ii+1);
aa=aa+1;
end
end
for ii=1:length(New_IR_Change)
set_param('test_16a/Co... |
xmax = 24;
taumax = 50;
G = zeros(2*xmax-1, taumax); % creates a holding vector,
% We need 2*xmax-1 because we want to go from -xmax, to xmax
for dx = 0:(xmax-1);
for tau = 0:(taumax-1);
posxInd=xmax+dx; % We break the loop up into the negative
negxInd=xmax-dx; % and positive x
... |
function B = CalculateBoxSum(ii_im, x, y, w, h)
if x == 1 && y == 1
B = ii_im(y+h-1, x+w-1);
elseif x == 1
B = ii_im(y+h-1, x+w-1) - ii_im(y-1, x+w-1);
elseif y == 1
B = ii_im(y+h-1, x+w-1) - ii_im(y+h-1, x-1);
else
B = ii_im(y+h-1, x+w-1) - ii_im(y+h-1, x-1) - ii_im(y-1, x+w-1) + ii_im(y-1, x-1);
end... |
function [errors, errorTags] = checkRequireChildTags(Maps, original, ...
canonical)
errors = '';
errorTags = {};
requireChildTags = Maps.requireChild;
checkTags(original, canonical, false);
function checkTags(originalTags, formattedTags, isGroup)
% Checks the tags that require children
numTags ... |
%% Opdracht 3
% Gegeven is onderstaande code. Bereken het gemiddelde van de
% vector 'getallen' zonder gebruik te maken van de standaard
% Matlab functie mean().
%
% Deze functie moet jezelf aanroepen m.b.v. een extra script.
% Dat script mag je in dezelfde folder zetten als dit bestand.
% Dat script wordt niet nagekek... |
function sampleSPISeries
%%
% In a SPI (Standardized Precipitation Index) series peaks are distant at least 5 month one
% from the other. Therefore the concept of "5 peaks over threshold per year" is meaningless.
% It is possible to set the algorithm to examine just one percentile for
% the POT, and doing just the GPD... |
clear, clc
% MATLAB Code
% Generated by MATLAB(R) 9.0 and the DSP System Toolbox 9.2.
% Generated on: 25-Jul-2016 13:10:30
% MATLAB Code generates an FIR-Filter.
% The User can choose between Lowpass-, Highpass-, Bandpass- or
% Bandstop-Filter. After the user definition ar given, the tool designs an
% optimal FIR fil... |
function wrapped = wrapmodel(model)
% INTERFACE MODEL: For a model that accepts params and images
% Pixels * (C * F) and returns predictions 1 * (C * F), return a wrapper model
% that accepts params and an image set (C*F) * Pixels and returns
% predictions (C*F) * 1
wrapped = @(params, PI)(permute(model(... |
function [ objVal, objGrad ] = slaveLblDmRcErObj( wVec )
%SLAVELBLDMRCOBJ Slave evaluation of rc objective
% assumes docThetas and bow data in global state
%% setup params
global state;
modelParams = state.modelParams;
dictSize = modelParams.DictSize;
rvDim = modelParams.RepVecDim;
numDocs = size(state.docBow,1);
rcIn... |
classdef RigidJoint < CoordinateFrame
% A coordinate frame that is rigidly attached to the origin a rigid
% joint and the child link of the joint. In addition, this class stores
% the type, rotation axis, child link, and limit of the rigid joints.
%
% Copyright (c) 2016-2017, AMBER Lab
% All rig... |
function ocrResults = performOCR(roi)
% Program Description
%Performs optical character recognition on an image, given a certain region
%of interest
%
% Function Call
%performOCR(roi)
%
% Input Arguments
%roi is the region of interest. Specify roi as a four-element vector of
%the form [x y w h] in data units. The x a... |
% % SCRIPT feb13
% % MODIFIED: APR2013 AAR
%now doing oneback
clear all
play_var=0; %if play_var=1 use stupid line which is to skip problem with number of extra contrast need to delete
%curr_task=input('enter 1 for learn task, and 2 for categ task: ')
spm fMRI
curr_task=1; %1= oneback
s... |
clc
clear all
close all
set(0,'language','en')
% set(0,'language','ja')
set(0,'defaultAxesFontSize',13,'defaultTextFontSize',13)
set(0,'defaultAxesFontName','Helvetica', 'defaultTextFontName','Helvetica')
set(0, 'DefaultAxesLineWidth', 1, 'DefaultLineLineWidth', 2)
%% set parameters
% -- simulation time--
t_end... |
function printVertSeams(img, vertSeam)
img1 = img;
[dimY, ~, dimD] = size(img);
n = size(vertSeam, 2);
for y = 1:dimY
for x = 1:n
img1(y,vertSeam(y,x),1) = 1;
img1(y,vertSeam(y,x),2) = 0;
img1(y,vertSeam(y,x),3) = 0;
end;
end;
fi... |
%% Carga de parámetros
clc,clear;
run('.\param.m');
%% Parametros de simulación
% Simulación de cinemática inversa
q0 = homeConfiguration(robot);
ik = inverseKinematics('RigidBodyTree', robot);
weights = [0, 0, 0, 1, 1, 1];
endEffector = 'tool';
qInitial = q0; % Use home configuration as the initial guess
%% Planificad... |
function params = gendata_params()
% simulation parameters
params.f = 1e-4; % coriolis parameter
params.deltaT = 500; % timestep
params.n_periods = 12;
params.dx = 2.5e3;
params.dy = 2.5e3;
% wavenumber and forcing frequency
params.k = [];
params.om = [];
% pressure forcing parameters
params.p0 = 5; % Pressure forci... |
%% tackles all steps of correlation display
% however assumes that data is coming over from within bo_runmain
cues = 1:4;
clear rho*
rhotimeStart = 0; % start analysis window
rhotimeStop = 10; % stop analysis window
clr = [0 0 0;170 170 170;0,101,245;204,20,0]/255;
figure;
clr = [0.3 0.77 0.99;...
0.88 ... |
function obj = updateConstraintBounds(obj, bounds, varargin)
% This function updates the boundary conditions of the optimization
% variable by updating corresponding NLP variables
%
%
% Parameters:
% bounds: a structed data stores the boundary information of the
% NLP variables @type struc... |
function [A_new, b_new, type_new, origem_new] = remove_redundant_constraints(A, b, type_new, origem_new, Nu, Nstate, options)
%[A_new, b_new] = remove_redundant_constraints(A, b, type_new, origem_new, Nu, Nstate, options)
%
%Remove the redundant constraints of a polyehdral defined by Ax<=b.
%Inputs:
% A, b -... |
function I = NORMALIZE_image(I,k)
%CODE FOR THE PAPER
%"Exploratory Dijkstra forest based automatic vessel segmentation: applications in video indirect ophthalmoscopy (VIO)",
%R. Estrada, C. Tomasi, M. T. Cabrera, D.K. Wallace, S.F. Freedman, S. Farsiu
%Biomedical Optics Express, 3(2), pp. 327-339. Feb. 2012.
%COPYRIG... |
function [hfid,etags] = he2hf(heid,mesh,etags)
fid=heid2fid(heid);
leid=heid2leid(heid);
origin_vertex=mesh.faces(fid,leid);
next=[2,3,1];
terminal_vertex=mesh.faces(fid,next(leid));
[hfid,etags] = obtain_1ring_elems_tet_he( origin_vertex, terminal_vertex, mesh, etags); |
% Jan Heimann | 14th July 2017
path_frei = {'./csv_data/freifeld_#1.csv','./csv_data/freifeld_#2.csv','./csv_data/freifeld_#3.csv','./csv_data/freifeld_#4.csv','./csv_data/freifeld_#5.csv','./csv_data/freifeld_#6.csv','./csv_data/freifeld_#7.csv','./csv_data/freifeld_#8.csv','./csv_data/freifeld_#9.csv','./csv_data/fr... |
% Example 3.13_1
% 应用动量BP算法训练BP网络
%
%clf reset;
%figure(gcf)
%setfsize(500,200);
echo on
%NEWFF — 建立一个BP网络
%TRAIN — 对网络进行训练
%SIM — 对网络进行仿真
pause
clc
P = [0 1 0 1;
0 0 1 1];
% T为目标矢量
T = [0,1,1,0]
plotpv(P,T);
%plot(P,T,'+');
title('Training Vectors');
xlabel('Input Vector P');
ylabel('Target Vector T');
pause
n... |
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% SIMULATION OF HOLOGRAM OF AN OBJECT RECORDED WITH PLANE WAVES
% Author: Tatiana Latychevskaia
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% Citation for this code/algorithm or any of its parts:
% Tatiana Latych... |
clc;
rng('shuffle')
found_solutions = 0;
errors = 0;
failures = 0;
i=0;
while true
result.nt = randi(3)+1;
result.nr = randi(3)+1;
result.timeLine_size = randi(10);
result.nSegments = 5+randi(15);
result.sample_size = 2+randi(10);
result.max_iterations = 200;
%arguments for the FFDummie
result.hashSize = 1... |
%% select_legend_eco
% graphical user interface for setting legend using eco-codes for a given taxon
%%
function legend = select_legend_eco(legend, taxon)
% created 2018/05/30 by Bas Kooijman
%% Syntax
% legend = <../select_legend_eco.m *select_legend_eco*> (legend, taxon)
%% Description
% Select or edit a legend us... |
function imout = RegionFill_Nearest(im, mask)
% Given input image and mask. For each selected pixel in mask, replace corresponding
% pixel in image with nearest unmarked pixel value.
%
% A simple, but poor image infilling tool
%
% im = imread('peppers.png');
% mask = zeros([size(im,1),size(im,2)]);
% im(200:250, 250:3... |
% PARAM_VL3
% Zadanie parametrov Strejcovho prenosu
% Volane z - PARAM_VL2, aj sa tam vrati
% Copyright is with the following author(s):
%
% (c) 2012 Juraj Oravec, Slovak University of Technology in Bratislava,
% juraj.oravec@stuba.sk
% (c) 2012 Monika Bakosova, Slovak University of Technology in Bratislava,
% monika.... |
clc
clear
digits(36);
nPointsOnEdge = 3;
ngpts = vpa(nPointsOnEdge);
[pG,wG] = Gaussian_Quadrature(ngpts);
pG = pG / 2;
quad_pos_1d = pG;
nPoints = 4 * nPointsOnEdge + nPointsOnEdge^2;
x = zeros(nPoints,1);
y = zeros(nPoints,1);
% ! Left
x(nPointsOnEdge*0+1:nPointsOnEdge*1) = -0.5;
y(nPointsOnEdge*0+1:nPointsOnE... |
mean_max_conductance_activation(21)
ste_max_conductance_activation(21)
mean_vhalf_activation
ste_vhalf_activation
mean_sigslope_normalized_activation_all
ste_sigslope_normalized_activation_all
mean_vhalf_inactivation
ste_vhalf_inactivation
mean_sigslope_normalized_inactivation_all
ste_sigslope_normalized_inactivation_a... |
%% Solves qs 2.9 for assignment 1
% The following function solves the given linear system via Gaussian
% elimination without and with pivoting
function GaussianElimination()
% initialize A, B and X
A = ones(2,2);
B = ones(2,1);
X = ones(2,1);
% x_ans is a [1 1] vector, the solution as given in question
x_ans = ones... |
function [S,M] = process_data(cam_frames,cam_pos, motor_times, motor_vol, i)
if(size(cam_frames,1)==1)
cam_frames = cam_frames';
end
if(size(cam_pos,1)==1)
cam_pos = cam_pos';
end
if(size(motor_times,1)==1)
motor_times = motor_times';
end
if(size(motor_vol,1)==1)
motor_vol = motor_vol';
end
A = 1.7^2*... |
% Este programa retorna a resposta do exercício 19 da lista 1.
disp('19)Qual a relação do número de dentes necessária para que engrenagens motora e movida girem respectivamente a 100 e 300 rpm?')
Nmotora=100 %rotação em rpm.
Nmovida=300 %rotação em rpm.
disp('19)A resposta do exercício 19 da lista 1 é : a relaçã... |
function [x, stats] = spg(FG, P, x, opts)
% SPG Spectral projected gradient.
% Parse options.
if nargin == 3 || ~isstruct(opts)
opts = [];
end
if isempty(P)
P = @(X)X;
end
if ~isfield(opts,'pgtol') || isempty(opts.pgtol)
opts.pgtol = 1e-6;
end
if ~isfield(opts,'maxit') || ise... |
function [debtrank, equityLoss, num_default, num_iter] ...
= nonlinear_debtrank(interbankLiabilitiesMatrix, ...
equityBeforeShock, shock, max_iter, alpha)
% debtrank(:,1) is the final value of debtrank (initial shock subtracted)
% debtrank(:,2) is the final v... |
function [ g ] = spatialThresholds( f, xBins, yBins )
[h, w] = size(f);
g = zeros(size(f));
for i=1:xBins
for j=1:yBins
xLow = floor(w * (i - 1) / xBins );
xHigh = floor(w * i/ xBins);
yLow = floor(h * (j - 1)/yBins);
yHigh = floor(h * j/yBin... |
function [h,x,y] = plot_fuzzy_vars(fzx,fzy)
n = length(fzx);
x = zeros(n,1);
y = zeros(n,1);
errxU = zeros(n,1);
erryU = zeros(n,1);
errxD = zeros(n,1);
erryD = zeros(n,1);
for i = 1:n
x(i) = fzx{i}.getNum_val;
% errxD(i) = fzx{i}.getNum_val - fzx{i}.getInterv.getMin;
% errx... |
%Name: Matlab/CUDA: Signals and Systems Lab 2nd
%Auther: Changgang Zheng
%Student Number UESTC:2016200302027
%Student Number UoG:2289258z
%Institution: Glasgow College UESCT
function problem_1st
x=sym('sin(2*pi*t/T)'); % creat the sybolic expression of the signal
x5=subs(x,'T','5'); ... |
%Developed by Atharva Kulkarni(16070123129)
%Date:11/1/2019
%Version: 1.0
%This code will plot a sine wave and a cosine wave in a single graph
clc; %clears the command window
clear all; %removes items from matlab work... |
function [v, e, angle, iscut] = convertDatatoVE(data)
% function [V,E,angle,iscut] = convertDatatoVE(data)
if (isempty(data))
v = zeros(0,2);
e = zeros(0,2);
angle = zeros(0,1);
iscut = false(0,1);
warning('This structure is empty.');
return;
end
v = [[data.x];[data.y]]';
e = cell2mat(arrayfu... |
function [out, t] = count_predicted_flags(flags)
% Conta le occorrenze di ogni orientamento.
o = categorical(cellstr(flags), {'**', '*0', '*1', '00', '01', '10', '11'}, 'Protected', true);
c = countcats(o);
% Pesa le occorrenze in modo che la loro somma sia 1:
% - assegna peso nullo alle ... |
% Driver software for determining the mie optical parameters for biological
% cells to feed into BioSNICAR. Calls mie.m, which should be available in
% workspace. Written by Joseph Cook (University of Sheffield, UK), Feb 2017.
%User defined inputs = CELL DIAMETER (line 12) AND ABSORPTION COEFFICIENT
%(PROVIDE BY ... |
function [bb,l,h]=xyz2blh(x,y,z,ell)
% XYZ2BLH Transformation to ellipsoidal coordinates using Cartesian coordinates.
% XYZ2BLH(X,Y,Z) transforms the given coordinates
% X, Y, Z [m] into ellipsoidal latitude B,
% longitude L [deg.dec] and the height above
% the ellipsoid H [m]. No negative heights!
... |
function XN = cordNoi(cord, nN)
% Generate 3-D noise point.
%
% Input
% cord - cordinates, 3 x kJ x nF
% nN - #noise points
%
% Output
% XN - 3-d noise, 3 x nN x nF
%
% History
% create - Feng Zhou (zhfe99@gmail.com), 12-29-2008
% modify - Feng Zhou (zhfe99@gmail.com), 02-27-2013
% functi... |
function traceQualManual = plotEftManTracesROIs(C_df, S_df, dFOF, A2, mask_eft, CC, CC_rois, eftMatchIdx_mask, im, C, inds2plot, manualTraceQual, plothists, im2, cs_frtrs)
% use the following to evaluate A and C of Efty's algorithm without
% comparing with the manual method:
% inds2plot = 1:size(C,1);
% plotEftManT... |
clc
clear
close all
Fs = 1000; % samples per second
dt = 1/Fs; % seconds per sample
StopTime = 1; % seconds
Time = (0:dt:StopTime)';
Sig = chirp(Time, 50, StopTime, 450, 'quadratic');
N = 15;
WinLen = 100;
Chirplet = GLCT(Sig, N, Fs, WinLen);
ChirpletPowerSpect = abs(Chirplet).^2;
figure(1);
subplot(2, 2, 1)... |
function [verbose,verboseI,debug,optTol,progTol,maxFunEvals,maxIter,Damped,...
corrections,useMex,HvFunc,LS_init,LS_interp,LS_multi,c1,c2] = processInputOptions(o)
%UNTITLED2 Summary of this function goes here
% Detailed explanation goes here
verbose = 1;
verboseI = 1;
debug = 0;
o = toUpper(o);
LS_init = 0;
... |
function gui_check_sleep_scoring(channels,label1,labelconditions,labelconditions2,rats,fs)
%SELECT RAT(S).
opts.Resize = 'on';
opts.WindowStyle = 'modal';
opts.Interpreter = 'tex';
prompt=strcat('\bf Select a rat#. Options:','{ }',num2str(rats));
answer = inputdlg(prompt,'Input',[2 30],{''},opts);
Rat=str2double(answ... |
% Script to evaluate the times and errors for a 2.5 lambda radius piston
% (as in the FNM circle paper published in JASA in 2003) with the apodized
% FNM expression.
datestr(now)
f0 = 2.5e6; % excitation frequency
% atten = 0; % no attenuation
soundspeed = 1500; % m/s
lambda = soundspeed / f0; % wavelengt... |
json_path = 'index.json';
json_data = json.read(json_path);
output_json = {};
figure
for i = 1:length(json_data)
[~, image_name, ext] = fileparts(json_data(i).output_path);
im = imread([image_name, ext]);
imshow(im)
[~, ~, button] = ginput(1);
if button == 'f'
output_json(end + 1) = {json... |
function [ data ] = recognition(data, recog_test, p,s, window)
%RECOGNITION
%Summary goes here
global deviceIndex
KbQueueRelease(deviceIndex);
KbName('UnifyKeyNames')
%% ----------------------------------------------------------------------
% Starting Recognition Trials
% --------------------------------------------... |
%% Test the general performance of the PCA implementation
N = 100;
F = 15000;
X = rand([F, N]);
tic;
[Y, W] = new_pca(X);
toc
%% Check whether the result is normalised when applied whitening
assert(sum(sum((abs(Y * Y' - eye(N-1))))) < 1e-6, ...
'Output Y must be normalised'); |
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