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video_root = 'thumos15_testing';
frame_root = '/research/action_data/thumos2015/thumos15_testing_frames';
video_list = dir([video_root filesep '*.mp4']);
parfor i = 1:length(video_list)
[~,vname,~] = fileparts(video_list(i).name);
avi2jpg([video_root filesep video_list(i).name], frame_root);
testing_video_... |
function [train_set, test_set] = split(bag_in,percent)
bag1 = bag_in(1:60,:);
bag2 = bag_in(61:end,:);
% set training and testing set
rand_bag1 = randperm(60);
rand_bag2 = randperm(60);
bag1_train_idx = rand_bag1(1:60*percent);
bag2_train_idx = rand_bag2(1:60*percent);
bag1_test_idx = rand_bag1(60*percent+1:end);
bag2_... |
function BpNetTrain(originalNetData,originalNetLabelData,originalTestNetData,originalTestNetLabelData)%,testInputData,testOutputData,ReturnTestMinMaxInputData1,ReturnTestMinMaxOutputData1
%BP网络
%%%%%%%%%%%%%根据数据自动检索并确定隐层神经元数目，以最小误差为标准，可调用函数%%%%%%%%%%%
[dataTotalP,dataTotalT]= dataAdd( originalNetData,originalNetLabe... |
function [F,U_L] = DCT(f)
%UNTITLED3 Summary of this function goes here
% Detailed explanation goes here
blockSize = 4;
[M,N] = size(f)
F = zeros(blockSize,1,'single');
cos_u = zeros(blockSize,1);
U_L = zeros(blockSize,blockSize);
for u = 0 : blockSize-1
if u == 0
C = 1/sqrt(2);
else
C = 1;
... |
function Labeling_X1()
%Labeling_64 Divides images into segemnts for waste class labeling
%
% segementAxis = Number of segments along x and y axis of the image.
%
% Show the image to select class between 0 and 1. Class 0 indicates no
% waste in the bin and class 1 indicates the presence of waste. If class
% 0... |
function [A,b,output] = external(A,b,do);
% RIVERALK adds alkalinity from 34 rivers
fprintf('%s','RIVandBUR...')
load data/ao.mat;
load data/RIVER.mat
load data/burial/BUR.mat
% turn the shoebox into a linear vector
% umol ALK kg-1 yr-1
riverb = RIVER(ao.iocn);
burialb = BUR(ao.iocn);
burialb(isnan(burialb))=0;
%... |
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% Author: Trinh, Khanh V <khanh.v.trinh@nasa.gov>
% Notices:
%
% Copyright @ 2020 United States Government as represented by the
% Administrator of the National Aeronautics and Space Administration. All
% Rights Reserved.
%
% Disclaimers
%
% No Warranty: ... |
classdef SpectrumTrimmerInterface < handle
%SpectrumTrimmerInterface Interface for spectrum trimmers
methods (Abstract)
trimmedSpectrum = Trim(obj, spectrum)
end
end
|
function msspectra = retrieveMSSpectra(obj,varargin)
% RETRIEVEMSSPECTRA: Read MS Spectra from an mzXML object
%
% Syntax:
% msspectra = retrieveMSSpectra(mzXMLobj)
% msspectra = retrieveMSSpectra(mzXMLobj,scannum)
% msspectra = retrieveMSSpectra(mzXMLobj,'mslevel',MSLEVEL)
% msspectra = retrieveMSSpect... |
% This file defines three functions:
% Smooth_sse: Smoothing data using the inner coefficient optimization
% Profile_sse: Optimizing parameter values using outer optimization
% sse_setup: Set up error sum of squares functions
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
func... |
classdef Leg < handle
properties
len %joint lengths
offset_coord %ground frame offset coordinates
offset_angle %ground frame offset angle
ee %end effector coordinates
theta %joint angles
body %defines every poin... |
function M = linearSourceTerm2D(k)
% Matrix of coefficients for a linear source term in the form of k \phi
%
%
% SYNOPSIS:
% M = linearSourceTerm2D(k)
%
% PARAMETERS:
%
%
% RETURNS:
%
%
% EXAMPLE:
%
% SEE ALSO:
%
% extract data from the mesh structure
Nxy = k.domain.dims;
Nx = Nxy(1); Ny = Nxy(2);
G=reshape(1:(Nx+2)... |
function [weights] = getrbfrep(par, H)
x = getnodes(par);
tree = gettree(par);
fdsize = par.fd;
ep = par.ep;
rbf = @(ep,rd2) exp(-ep^2*rd2);
N = length(x);
weights = zeros(N,fdsize);
for j=1:N
imat = tree(:, j);
rd2 = max(0,2*(1-x(imat,1)*x(imat,1).' - ...
x(imat,2)*x(i... |
%% Compute and store states for two dendrites coupled to a cell body
%addpath('../Matlab/mole-master/mole_MATLAB') % path of mole library
addpath('/Users/pshoemaker/Desktop/MOLE/mole_MATLAB');
dt = 5E-4; % time step for temporal integration
ncells = 1; % single cell terminating dendrite
nmorphs = 2; % no branched... |
function output = get_cluster_info(handles)
numTraces = size(handles.selected_data,1);
temp_var_names = [];
for k=1:numTraces
temp_covar = [];
for i=1:size(handles.selected_data{k,7}.covmats,2)
temp_name = [];
for j=1:size(handles.selected_data{k,7}.covmats{i}.varnames,2)
... |
function [obsData,lData] = extractSpeechFeature(ampVector,fsVector,ampLengthVector, windowLength,numberOfCeptralBands)
startIndex = 1;
endIndex = 1;
obsData = [];
for i=1:12
%figure out where in the ampVector the current sample is.
startIndex = endIndex;
endIndex = endIndex + amp... |
% UNTITLED Summary of this function goes here
% Detailed explanation goes here
function [pK_G] = GWishartDensity(K,A,b,D)
%%%%%%%%%%%%%%% SET CONSTANTS %%%%%%%%%%%%%%%
NUM_SAMPLES = 100;
%%%%%%%%%%%%%%% VALIDATE INPUTS %%%%%%%%%%%%%%%
% Make sure K, A, and D are square matrices with same dimension
assert(size(K,... |
function plot_tunes()
% h.txt : Straight, columns are energy (eV), 2*cos(2*pi*nux), 2*cos*(2*pi*nuy)
% i.txt : Arc, columns are energy (eV), 2*cos(2*pi*nux), 2*cos(2*pi*nuy), ToF (s)
data = load('4pass_tune_measurements.mat');
data = data.trial_run;
h_data = importdata('h.txt');
i_data = importdata('i.txt')... |
function DCM=calDCM(ang_vect)
% input
% ang_vect: angles/rad
% output
% DCM: direction cosine matrix
% reference: Titterton D H, Weston J L. Strapdown Inertial Navigation Technology[M], 2nd ed. 2004, p312.
% zsh 20140903
as = antisymm(ang_vect);
mag = norm(ang_vect);
if mag == 0
DCM = eye(3);
else
DCM =... |
dataset = load('../data/traintest.mat');
T = length(dataset.train_imagenames);
vision = load('visionRandom.mat');
K = size(vision.dictionary, 1);
idf = zeros(1,K);
for i=1:K
count = sum(vision.trainFeatures(i,:) > 0);
idf(i)=log(T/count);
end
save('idf_random.mat','idf');
vision = load('visionHarris.mat');
id... |
function [ R, p ] = TransToRp( T )
%Usage:
%Input - A valid transformation matrix T of SE(3)
%Output - Rotation matrix R (SO(3)) and position vector p
R = [];
p = [];
epsilon = 10^(-5);
if (numel(size(T)) ~= 2 || size(T,1) ~= size(T,2))
disp('T is not a valid transformation matrix either because it has more than... |
function [I1_TF,I2_TF]=mutual_transform_2d_double(I1,I2,I1_moved,I2_moved,range,HistogramBins,Hkernel, SampleDistance)
% This function transform one image modality into another.
%
% [I1_TF,I2_TF]=mutual_transform_2d_double(I1,I2,I1_moved,I2_moved,range,HistogramBins,Hkernel, SampleDistance)
%
% Function is written by ... |
% Windows client serving UDP communication requests from
% ModulationTrialSequencePupillometryNulledOnLine.m (Mac)
% These two programs must be run in tanden to conduct the pupillometry experiments.
%
% 03/01/2016 NPC Wrote it (by modifying OLFlickerSensitivityVSGpupillometry)
% 03/04/2016 NPC Added UDP communi... |
% characterizeTrigger Charaterize digitizer trigger time
%
% This method characterizes the trigger time of a specified digitizer as
% recorded by ZDAS.
% result=characterize(object,filename,record);
% The second input is the name of a ZDAS (*.hdf), PFF (*.pff), or text (all
% other extensions) where the digitizer's ... |
function [no_of_pts] = HFSS_Setup(fileID,freq,sfreq,efreq,fstep,Type)
% HFSS_Setup generates a script to generate a setup with selected sweep
% type. It will create the setup with the following configurations:
% Maximum Number of Passes = 20
% Maximum Delta S = 0.02
% Minimum Number of Passes = 2
% Minimum Conve... |
function trace = trace_simulator(varargin)
%TRACE_SIMULATOR Simulate AP2 traces based on various model parameters
% List of model paremters:
% poff - percent of off, photobleached, or unlabeled AP2 molecules
% flint - fluorophore intensity under a normal distribution
% dt - control timestep size for binding probab... |
lam=1-10^(-15);
d=2;
w_range=linspace(0,100,10^5);
[Fbar, FRbar] = FRbar_LL_exp(lam, d, w_range);
Fbar2=(lam*exp(2*lam*w_range)-exp(2*lam*w_range)+1+lam)./(-lam*exp(2*lam*w_range)+exp(2*lam*w_range)+1+lam);
Fbar3=lam./(-lam*exp(lam*w_range)+exp(lam*w_range)+lam);
plot(w_range, Fbar)
hold on
plot(w_range, Fbar2)
plot(... |
fid = fopen( 'printfile.m' ) ;
while 1
linie = fgetl(fid);
if ~ischar(linie), break, end
disp(linie);
end
fclose(fid); |
function [results] = hsic2nloop(X,Y,Z1,Z2,N,l,nloops,pathout,pathds)
%This function launches nloops conditional hsic tests and store the output
%INPUTS
% X: dim x
% Y: dim y
% Z1: dim 1 of z
% Z2: dim 2 of z
% N: subdataset size in indtestimpl_nloop_sval
% l: number of loops in indtestimpl_nloop_sval
% nl... |
function mickey_core(~,~,hfig)
CmsCoreProp=get(hfig,'userdata');
axes(CmsCoreProp.handles.coremap);
global knum;
global cn;
pt = get(CmsCoreProp.handles.coremap, 'CurrentPoint');
i=round(pt(1,2));
j=round(pt(1,1));
knum=cpos2knum(i,j,CmsCoreProp.core.mminj);
if (knum)
sel_typ = get(hfig,'SelectionType');
s... |
function [ exact ] = problem_solution(t,quadpoint,data)
% Computes the exact solution
% written by data.Pierson Guthrey
% -------------------------------------------------
% INdata.PUTS (t,v1,v2,v3) : location in space-time
% OUTdata.PUTS exact : the given exact solution evaluated at the location
% Note: other ... |
function [S] = readSEL(filename)
% READSEL read selection from .sel file (as used by Mario Botsch and Olga
% Sorkine in the accompanying data to their survey "On linear variational
% surface deformation methods"
% http://igl.ethz.ch/projects/deformation-survey/
%
% Input:
% filename path to .sel file
... |
function STATE = renorm_load(datapath, varargin)
global DATAPATH;
global SUBJ;
global ANALISES;
if nargin < 1
datapath = [DATAPATH filesep SUBJ filesep ANALISES ];
end
max = 50;
if (nargin > 1)
max = varargin{1};
end
files = dir(datapath);
n = size(files,1);
if (n > max+2)
n = max+2;
end
STATE = cell(... |
%Tyler Matthews 1/244/19
%System Simulation Problem 02
clc; %CLEAR CONSOLE
%INITIAL VARIABLES
z = 0.5;
N = 500;
t = linspace(0,z,N);
T = z/N;
%X
A = ((13333.3/2)*T^3 + 33.3333*T^2 - T);
B = ((13333.3/2)*T^3 - 33.3333*T^2 + 2*T);
C = (-1*T);
%Y
D = ((693333/2)*T^3 + 12133.3*T^2 + 185.333*T - 3);
E = ((693333/2)*T^3... |
function [note, octave] = Ffreq2note2(f_v)
%function [note, octave, cents, thirdOct] = Ffreq2note2(f)
%
% Converti une frequence en note, la 440 = A4
% avec les 1/4 de tons
%
chromalist = {'C'; 'C+'; 'C#'; 'C#+'; ...
'D'; 'D+'; 'D#'; 'D#+'; 'E'; 'E+'; 'F'; 'F+'; 'F#'; 'F#+'; ...
'G'; 'G+'; 'G#'... |
function [X_s,Y_s,Z_s,x,y,z] = innsbruck
%% Coordenadas de las estaciones MLAT
Latitude=[47 15 28.2; 47 18 46.4; 47 14 37.4; 47 15 11.6; 47 19 15.7; 47 24 34.6; 47 18 11.9; 47 18 49.3;];%47 12 31.4;
Longitude=[11 21 9.8; 11 23 10.3; 11 10 51.9; 11 33 20.9; 11 44 30.8; 11 47 15.1; 11 04 23.1; 11 10 39.5;];%11 27 36.... |
function missed_extraction_watchdog(varargin)
% function missed_extraction_watchdog(varargin)
%
% Routine that checks for missed extractions from booster
event_timevec = [];
last_waveform_cnt = 0;
f1=figure;
while 1
new_waveform_cnt=getpv('ztec2:Inp1WaveCount');
if new_waveform_cnt>last_waveform_cnt
... |
% Unbalance Inductance
L_unequal =[84e-6, 180.2e-6,186.8e-6; ...
180.2e-6, 67.4e-6, 67.3e-6+67.4e-6 ;...
186.8e-6, 67.3e-6+67.4e-6,67.4e-6];
M_unequal= [L_unequal(1,1), (L_unequal(1,2)-L_unequal(1,1)-L_unequal(2,2))/2 ,(L_unequal(1,3)-L_unequal(1,1)-L_unequal(3,3))/2 ;...
NaN, L_equal... |
function varargout = wavestats(Wxy,freq,time)
nFreqPts = size(Wxy,1);
nTimePts = size(Wxy,2);
nFiles = size(Wxy,3);
nChannelPairs = size(Wxy,4);
tvmf = zeros(nFiles+2,nTimePts);
tvpf = zeros(size(tvmf));
for fn = 1:size(Wxy,3)
[tvmf(fn,:),tvpf(fn,:)] = instantaneouswavefreq(Wxy(:,:,fn),freq);
end
tvmf(fn+1,:) = ... |
function [pos,J]=evalRobot2D(l,theta)
% f1 pos(1,1) f2 pos(2,1)
pos(1,1) = l(1)*cos(theta(1))+l(2)*cos(theta(1)+theta(2));
pos(2,1) = l(1)*sin(theta(1))+l(2)*sin(theta(1)+theta(2));
% Jocobean: theta(1) x theta(2) y
f1_x = -l(1)*sin(theta(1)) - l(2)*sin(theta(1)+theta(2));
f1_y = -l(2)*sin(theta(1)+theta(2));
... |
func = @f15;
D = 2;
R = eye(D);
Q = R;
x_opt_val = zeros(D,1);
f_opt_val = 0;
f = func(D, x_opt_val, f_opt_val, R, Q);
%%
N = 100;
%%
X = linspacem(-5,5,N,2);
T = zeros(size(X,1),1); %f(X);
for i = 1:(N*N)
T(i) = f(X(i,:)');
end
%%
D = size(X, 2);
eg = 1.5; % sum-squared error goal
sc = 1; % spread consta... |
function h = graynext(d, g, n)
% h = graynext(d, g, n) takes nonnegative integer array
% g , interpreted as n-bit Gray Cyclic Binary Codes,
% elementwise through one step forward, if d > 0 ,
% or otherwise backward through the Gray codes, so
% h and g have the same size. If not a scalar, d
... |
function sum_obj = calculate_obj_GAL234( expt_level, basal_level, induction_level, basal_frac )
% this function takes in the basal level and induction level of the simulation results,
% and the experimental data (trait), then calculate the difference between them,
% return the sum of the difference as sum_obj (the obje... |
function pc=gauss2dxyfit_eval(indata,inarg)
%
% function gauss2dfitxy(indata,inputarg)
%
% Used in conjunction with gauss2dfit(), this function will simply
% output the gaussian for comparing with the input data. The
% purpose is simply to allow the user to visually arrive at a
% set of starting input parameters
%
% i... |
function c=poly(A)
[nr,nc]=size(A);
if nc==nr
R0=eye(nc); R=R0; c=[1 zeros(1,nc)];
for k=1:nc
c(k+1)=-1/k*trace(A*R);
R=A*R+c(k+1)*R0;
end
elseif (nr==1 | nc==1)
A=A(isfinite(A)); n = length(A);
c = [1 zeros(1,n)];
for j=1:n
c(2:(j+1)) = c(2:(j+1)) - A(j).*c(1:j);
... |
classdef EvidenceState
properties (Constant)
Happened = 2;
Unhappened = 1;
Unknown = [];
end
methods (Access = private)
function obj = EvidenceState
end
end
end
|
function res = clipPolyline(poly, box)
%CLIPPOLYLINE Clip an open polyline with a rectangular box.
%
% POLY2 = clipPolyline(POLY, BOX);
% POLY is N-by-2 array of vertex coordinates.
% BOX has the form: [XMIN XMAX YMIN YMAX].
% Returns the set of polylines created by the intersection of the
% polyline POLY and... |
%% load data
%cd('C:\Users\Mirone\Desktop\Aarhus Uni\Dropbox\Exe\Exe_matlab')
clc; clear; close all;
pwi=csvread('pwi.csv');
dwi=csvread('dwi.csv');
mask=csvread('mask.csv');
%% show image
% pwiIM=imshow(pwi,[0 33]);
% dwiIM=imshow(dwi,[0 800]);
pwiIM=imagesc(pwi); %show image in color limit scale to sig... |
function drawProb2()
figure;
x = linspace(-7,7);
y = 7*ones(1,100);
plot(x,y,'k','LineWidth',1.5)
hold on;
plot(x,-y,'k','LineWidth',1.5)
plot(y,x,'k','LineWidth',1.5)
plot(-y,x,'k','LineWidth',1.5)
xx = linspace(-40,40);
yy= zeros(1,100);
plot(xx,yy,':k','LineWidth',0.3)
plot(yy,xx,':k','LineWidth',0.3)
a... |
classdef (Sealed) RunnerSimpleStats < graph.runner.Runner
%RUNNERSIMPLESTATS A runner that computes simple graph statistics.
% This class computes some descriptive meta data of a graph.
%
% See also: RUNNER.
%=========================== PROPERTIES ==============================
p... |
function L = XYZ_to_Luminance(bitDepth, X_Y_Z_Value)
% Convert R'G'B' to Luminance
% DCI-P3 gamut / D65 white point / PQ EOTF
% Input:
% bitDepth - e.g. 8/10/12
% R_G_B_Value - e.g. [4095,4095,4095]
input = X_Y_Z_Value(:,2);
L = PQ_EOTF(input, bitDepth); |
function hfigs = openFigures(file)
%OPENFIGURES Open multiple figures from a single .mat-file
% OPENFIGURES, by itself, opens a multifigure .mat file saved by
% SAVEFIGURES. A file selection dialog is opened specifying the file.
%
% OPENFIGURES(FILE) Opens figures in .mat-file FILE. FILE is a
% multi-... |
% This class is initialized in runGui.m. The constructor function creates a Log
% object and initializes it; the run function creates a set of pseudo-global
% objects, creates the GUI components, sets up the connections between the GUI
% components and their functionality, and disables most interface capabilities
% unt... |
function folders = dir_folders(path, fullPaths)
%DIR_FILES Returns the folders in a directory.
% Usage:
% paths = dir_folders % lists folder in pwd
% paths = dir_folders(path)
% paths = dir_folders(path, true) % returns full paths
%
% See also: dir_files, dir_paths, dir
% Default path
if nargin < 1; pa... |
function [GF] = getGaussianFilter(N, M, sigma)
Size = max(N,M);
GF = fspecial('gaussian',[N,M],sigma);
GF = sqrt(GF);
GF = fftshift(GF);
end |
%
% function: draw all beacon uncertainty ellipse
%
% date: 12.13, zhan
load localmap_2938
%load EKF_SLAM_2008_Oct_29
St=localmap_st;
num_beac=(size(St,1)-3)/2
P=localmap_P;
figure(1)
%axis ([-1 11, -6 6])
%axis square
hold on
for i = 1:(size(St,1)-3)/2
uncer_p = P(i*2+2:i*2+3, i*2+2... |
% function [y x W] = warpfilter(ref, ts, kernel, varargin)
%
% produces smoothed and warped single-trial peth's in a window [-pre post] from each
% element of the reference (ref) matrix. If there is only one column of
% ref than no warping takes place.
% all times are assumed to be in seconds
%
%
% Inputs:
% ref ... |
function [myErr, matlab_simulation_variables] = MatlabStartSimulation(simulation_parameters)
myErr.error_description = '';
myErr.severity_code = '';
% Reads in hourly biogas production values and the energy density from Excel
sheet = 1;
xlRange1 = 'A2:A8761';
xlRange2 = 'E11:E11';
matlab_simulation_variables.b... |
function visualizevines(moves, vine, board)
% VISUALIZEVINES Draws the board and the vine
%
% USAGE:
% VISUALIZEVINES(MOVES,VINE,BOARD)
% The MATLAB Contest Team
% Copyright 2011 The MathWorks, Inc.
imagesc(board)
colormap(copper);
colorbar
axis off
axis equal
if ~isempty(vine)
[r,c] =ind2sub(size(boar... |
function data = load_data()
DATASET_DIR = 'data\emailspam';
data.domain_names = {'U00', 'U01', 'U02', 'U03'};
for i = 1 : length(data.domain_names)-1
t = load(fullfile(DATASET_DIR, sprintf('data_%d.mat', i)));
data.Xs{i} = t.features;
data.ys{i} = t.labels;
end
t = load(fullfile(DATASET_DIR, sprintf(... |
function [ammended_houghcircles] = removebadcircles(houghcircles,image)
j=1;
[m,n] = size(houghcircles);
for i = 1:m
row = houghcircles(i,:);
x= row(1);
y= row(2);
RGB = impixel(image,x,y);
if (RGB(1)>40) && (RGB(2)>25) && (RGB(3)>25)
ammended_houghcircles(j,:) = houghcircles(i,:);
... |
warning off;
clc;clear;
users = ["DM02";"DM03";"DM04";"DM05";"DM06";"DM07";"DM08";"DM09";"DM10";"DM12"];
xlData = ["User","DT_Accuracy","DT_Precision","DT_Recall","DT_F1","SVM_Accuracy","SVM_Precision","SVM_Recall","SVM_F1","NN_Accuracy","NN_Precision","NN_Recall","NN_F1"];
action = "Find";
for usr = 1:length(users)
us... |
#Ejercicio 1
function xdot = fder (tt,vv)
Qe = 6
Qs = 8
xdot=Qe-Qs;
endfunction
x=lsode("fder",V0,t);
#set term dumb;
plot(t,x)
xlabel("temps (min)")
ylabel("Volum (l)")
title("evolucion temporal del volumen")
legend("vol")
grid on |
function [ X_i ] = conjugate_gradient( A, B, tol );
% Suppose \bar{A} is square and non-singular;
% tol = tolerance level
% B = A' * B;
% A = A' * A;
X_i = B; % B - A * X_0, with X_0 = 0
R_i = zeros(size(B));
P_i = zeros(size(B));
R_i = B - A * X_i;
if norm(R_i) < tol
return;
end
% Initialization
P_i = R_i; ... |
function activate_ap(speed, host, port)
% ACTIVATE_AP(SPEED, HOST, PORT)
%
% Activate Autopilot in Flightgear over socket connection (HOST,
% PORT) and set target speed = SPEED [mph].
% Run Flightgear on HOST (e.g. '127.0.0.1' = localhost) with
% parameter "--props = PORT".
import java.net.Socket
import java... |
% Good for CPMGFastAuto (from Anagi)
clear
clc
close all
% USER-DEFINED PARAMETERS
filename = 'data.1d';
filedir = '/Users/tyler/Google Drive/Data/Anagi/DropboxData/174-18-2-23-CPMG fast/';
nMeas = 25;
nPks = 3;
pks = zeros(nPks,nMeas);
locs = zeros(nPks,nMeas);
alpha = 1e10;
T2lims = [1e-4 1e0];
omitEchoes = 0; ... |
% --------------------------- tests: %<<<1
%!shared infostr
%!assert(isempty(infogetmatrix("#startmatrix::A\n#endmatrix::A",'A')))
%!assert(infogetmatrix("#startmatrix::A\n1\n#endmatrix::A",'A') == 1)
%! infostr = sprintf('A:: 1\nsome note\nB([V?*.]):: !$^&*()[];::,.\n#startmatrix:: simple matrix \n1; 2 ; 3 \n4;5... |
function [weights,bias]=RBFTrain(means,bandwidths,tdata,epochs,eta)
dimy=size(tdata)(2);
weights=zeros(length(means),1);
bias=0;
gauss=zeros(length(tdata),length(means));
for i=1:length(tdata)
for c=1:length(means)
gauss(i,c)=gaussian(means(c),tdata(i,1:dimy-1),bandwidths(c));
endfor
endfor
for e=1:epochs... |
function [pass,maxerr] = test(opt)
% Test a distance-domain fit of a wormchain model
t = linspace(0,8,300);
r = linspace(1,8,300);
parIn = [4.5,0.5];
P = dd_gauss(r,parIn);
K = dipolarkernel(t,r);
S = K*P;
par0 = [2 0.2];
[~,Pfit,cistruct] = fitparamodel(S,@dd_gauss,r,K,par0,'solver','lsqnonlin');
pa... |
% This script is a toy example of (1) how a given pattern translate into
% biases of apparent transition probabilities of different orders and (2)
% how sequence likelihood changes with (a) the order of transition
% probabilities that is considered and (b) the prior that is used (flat or
% more or less biased).
%
% Co... |
asfval = {5};
pgfval = {5};
mufval = {5};
astime = {5};
pgtime = {5};
mutime = {5};
for i = 1 : 5,
filename = ['sORL50acc',num2str(i),'.mat'];
load(filename,'GdASCG','GdPG','T_execution','V_fval');
asfval{i} = GdASCG.V_fval;
astime{i} = GdASCG.T_execution;
pgfval{i} = GdPG.V_fval;
pgtime{i... |
function [xrange, prob, pde, CDF] = f_ProbParameters(vector, xbins)
% % % Inputs: a VECTOR with the values to distribute among a linear range
% which goes from minimun value of this vector to the maximun valute of
% this vector spaced into number of POINTS bins.
% % % % % % Outputs are vectors: xrange, prob, pde CDF, ... |
ncells = 10; % количество Ячеек
N = 20; % количество шагов по времени
L = 1/3; % влево
S = 1/3; % на месте
R = 1/3; % вправо
c = zeros(ncells,1); % Массив значений концентрации
cmax = 100; % Максимум концентрации
c(ncells/2) = cmax; % Начальное значение концентрации
x = 2:ncells-1;
axis([1 ncells 0 cmax]),... |
function [denoised, noise] = denoise(noisy_signal,prior,std_noise)
% Given a noisy image and a similar prior image and the standard deviation of
% the noise (assumes gaussian distribution) denoise the iamge by building a
% steerable freq pyramid and using probabilistic algorithms to build a coring
% function (h... |
function y = measurement_MotorModel(x,varargin)
%MEASUREMENT_MOTORMODEL
%
% Measurement equations for a motor with friction as a state
%
% y = measurement_MotorModel(x0,u,J,Ts)
%
% Inputs:
% x - motor state with elements [angular velocity; friction]
% u - motor torque input
% J - motor inertia
% Ts - ... |
function out=cutSlice(RAW,win)
cutOut=@(raw,idx) reshape(raw(idx),size(idx));
%% cut piece
fields=fieldnames(RAW);
for ff=1:numel(fields); field=fields{ff};
out.(field) = cutOut(RAW.(field),win.idx);
end
end |
% -------------------------------------------------------------------------
% ************************* RDEVPop Package *******************************
% File: ODEFun2D.m
% Author: Nick Henscheid
% Date: 10-2019, 2-2020
% Info: Computes the ODE RHS for the Fisher-KPP equation, assuming
% method-... |
function k = prediction(inputx, weight1, weight2, bias1, bias2, targets)
% Applying Feed Forward
% Hidden Layer
neth = inputx * weight1;
neth = neth + bias1;
%neth = normal(neth);
outh = sigm(neth);
% Output Layer
neto = outh * weight2;
neto = neto + bias2;
%neto = norm... |
#! /usr/bin/octave -qf
# set gnuplot as default plotting object (historical reasons)
graphics_toolkit("gnuplot")
# set format for displaying - we like to see whole numbers
#format long
# input arguments:
arg_list = argv();
# arg_list{1} - paht to mission info data file
# arg_list{2} - paht to GPS data file
# add fu... |
% we are trying to analyse if the ships have any effect on the hums through analysing a single ship before and after hum.
%use the program to call the function with parameters of the file name, center, width of the ship sound and it
%gives the power of both the initial time and the time after ie left and right of the ... |
function I = imShrink( I, ratios )
% Used to shrink a multidimensional array I by integer amount.
%
% ratios specifies block dimensions. For example, ratios=[2 3 4] shrinks a
% 3 dimensional array I by a factor of 2 along the first dimension, 3 along
% the secong and 4 along the third. ratios must be positive integers.... |
clc; clear;
load('gesture_data');
%
% figure(1)
% plot_xyz_struct(LL_to_UR_)
%
% figure(2)
% plot_xyz_struct(UL_to_LR)
%
% figure(3)
% plot_xyz_struct(LR_lowerWave)
%
% figure(4)
% plot_xyz_struct(LR_upperWave)
%
% figure(5)
% plot_xyz_struct(wave_)
%
% figure(6)
% plot_xyz_struct(come_)
%
% figure(7)
% plot_xy... |
function LoadLevel(levelno)
global LevelStructure;
LevelElements = {'crate_on_empty' 'crate_on_target' 'donald_on_empty' 'donald_on_target' 'empty' 'target' 'wall'}';
LevelCharacters = {'$' '*' '@' '+' '_' '.' '#'}';
LevelImages = {'crate_on_empty.jpg' 'crate_on_target.jpg' 'donald_on_empty.jpg' 'donald_on_ta... |
function orbitalangledlg(selected, state, control, consts)
%%orbital angle dialog
% for the rocket around a selected body e.g. sun, moon, earth, mars
% compute the orbital angle i.e. the angle between the orbital radius
% vector and the velocity vector
rootmsg='Orbital Angle:';
switch selected
... |
function v = iPH()
persistent vInitialized;
if isempty(vInitialized)
vInitialized = CoolProp_wrap(0, 72);
end
v = vInitialized;
end
|
function [ ] = SampleRecord(filename,duration)
%SampleRecord Summary of this function goes here
% Ruben Bloom
% 2-6-2014
% duration = 5;
samplerate = 16000;
r = audiorecorder(samplerate,16,1);
input('Press enter when ready to record')
record(r)
input('Press enter to end recording')
stop(r)
% play(r)
recording = ... |
%% All the different initial positions and angles which give a period-6 orbit in the square and maximise the area
% result in the same continuation!
h = 1;
gamma = pi/2;
period = 6;
init_alpha_1 = atan(2);
bigmat_0p25 = parallelogram_newton_solver(h, gamma, init_alpha_1, 0.25, period);
bigmat_0p75 = parall... |
function n = vectorNorm3d(v)
%VECTORNORM3D Norm of a 3D vector or of set of 3D vectors.
%
% N = vectorNorm3d(V);
% Returns the norm of vector V.
%
% When V is a N-by-3 array, compute norm for each vector of the array.
% Vectors are given as rows. Result is then a N-by-1 array.
%
% NOTE: Computes only... |
function correlation( file,isTraining,obj )
xDoc = xmlread(file);
rootNode = xDoc.getDocumentElement.getChildNodes;
node = rootNode.getFirstChild;
nbMetric = 0;
while ~isempty(node)
if strcmpi(node.getNodeName, 'metric')
data = [];
metricName = [];
returnedMetric = node.getAttribute('retu... |
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% Author: Hamza Bourbouh <hamza.bourbouh@nasa.gov>
% Notices:
%
% Copyright @ 2020 United States Government as represented by the
% Administrator of the National Aeronautics and Space Administration. All
% Rights Reserved.
%
% Disclaimers
%
% No Warranty:... |
clear all
close all
cd('E:\MATLAB\PANDA\Donders\Setups\supplementary');
fname = 'magFCheck-min30-2013-02-21.dat';
[e,c,l] = pa_readcsv(fname);
sel = l(:,5)==1 & l(:,6)~=0
loc = l(sel,[6 7]);
indx = find(ismember(loc(:,1),[3 9]));
nSamples = c(1,6);
nChan = size(c,1);
pos = [95 90 40 30 20 10];
n =... |
function model_train = save_trained_model(name, model_train)
save(name, 'model_train')
end |
function dagA = fasOpt(A, exact)
if nargin < 2
exact = 0;
end
%A = (A - A')/2;
%A = A.*(A>=0);
nvert = size(A,1);
ind = (1:nvert)'*ones(1,nvert);
tind = ind';
pos = [tind(:), ind(:)];
tA = A';
weights = tA(:);
dz = weights ~= 0;
weights = weights(d... |
function [out2,out,im1,angle2,mid_pt,index] = chord_hand(bin,L,delta)
%generate skin pixels
% [blue_image,bin] = generate_skinmap(I) ;
%cleaning up the image
% se = strel('disk',6);
% bin=imerode(bin,se);
% bin=imfill(bin,'holes');
% se=strel('disk',1);
% bin=imdilate(bin,se);
% imshow(bin);
% bou... |
function data = read_OD(fullname)
% READ_NIRS reads NIRS time signals from OxyMon excel data
% format.
%
% NIRS = READ_NIRS(FILENAME)
%
% The output spike structure contains
% NIRS.label = 1xNchans cell-array, with channel labels
% NIRS.trial = 1xNchans cell-array, with channel labels
% NIRS.wave... |
clear
clc
load('E:\Machine Learning\Final Project\kit_latest\kit\train\train.mat');
load('E:\Machine Learning\Final Project\kit_latest\kit\test\test.mat');
result=Naive_Bayes_words(words_train,words_test,gender_train);
|
%% PARAMETRES GENERALS DONATS
%Camara combustio
h=43e6;
%Condicions ambientals
T0=249.15; %[K]
P0=4.7320e+04; %[Pa]
Rgas=287;
gam.cold=1.4;
CP.cold=1004;
R.cold = CP.cold-CP.cold/gam.cold;
gam.hot=1.4;
CP.hot=1004;
R.hot = CP.hot-CP.hot/gam.hot;
gc = 1;
%In engineering, gc is a unit conversion factor used to con... |
function ya = tridiag( a, b, c, f )
% Solve the n x n tridiagonal system for y:
%
% [ a(1) c(1) ] [ y(1) ] [ f(1) ]
% [ b(2) a(2) c(2) ] [ y(2) ] [ f(2) ]
% [ b(3) a(3) c(3) ] [ ] [ ]
% ... |
function rootdir = atroot
%ATROOT returns Accelerator Toolbox root directory
w = which('DriftPass.c');
if ~isempty(w)
d = fileparts(w);
fileparts(w);
ind = strfind(d,[filesep,'simulator', filesep, 'element'])-1;
rootdir = d(1:ind);
else
error('Unable to find AT root directory - DriftPass.m not on M... |
function result = MeanDN(PMMWimg)
tempImg = PMMWimg;
[M,N] = size(tempImg);
AvgValue = zeros(1,M);
for i = 1:M
AvgValue(1,i) = mean(tempImg(i,:));
end
result = AvgValue;
end |
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