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function [L_map, Le] = BCJR_Decoder_1(noise_x , noise_p1, La);
global prt;
alpha_0 = [1 0 0 0]'; % this is alpha_0 , the initialization
betta_9 = [1 0 0 0]'; % this "9" correspnds to betta_8 in pdf file, the initialization
% first, computer alpha, gamma, beta, for the BCJR decoder
gamma = compute_gamma(prt.Co... |
close all
clear
%Position tracking from video
file = 'example.mp4';
%Read video file in
vidObj =VideoReader(file);
vidHeight = vidObj.Height;
vidWidth = vidObj.Width;
s = struct('cdata',zeros(vidHeight,vidWidth,3,'uint8'),'colormap',[]);
%future edit: when wanting to do a whole video, use a 'while' loop - while
%th... |
classdef Files < hgsetget
% FILES - A personalized class for storing and managing frequently used files.
%% CHANGELOG
% Written by Josh Grooms on 20141016
% 20141110: Changed the ColinBrain static property to refer instead to a permanently adjusted Colin Brain data
% set, since this is what... |
function Yteste = limiar(S, L, m)
Yteste = linspace(0,0,m);
for i = 1:m
if (L < S(i))
Yteste(i) = 1;
else
Yteste(i) = -1;
end
end
end
|
function sizeanalysis
filename = 'C:\Users\Julia\work\data\150902\size5.rec';
channels = [3];
refchan = 16;
for channo = channels
chans = readTrodesFileChannels(filename,channo);
refchannel = readTrodesFileChannels(filename,refchan);
chans.channelData = chans.channelData-refchannel.channelData;
da... |
image_new = imread ('D:\Image\Training\1\download.jpg');
imshow(image_new);
size(image_new)
image_new(1:10,1:10)
imshow(image_new);
image_red= image_new;
image_red(:,:,2)=0;
image_red(:,:,3)=0;
figure(1):imshow(image_red);
image_green= image_new;
image_green(:,:,1)=0;
image_green(:,:,3)=0;
... |
function [F_tow] = GetVects(lat,lon,F_fo_w,F_fr_w,F_fo_a,F_fr_a,F_cor,targ_lat,targ_lon,mode,P_max,v_mag)
% Tow to next point Ride current/ now towing to next point
% Ride current/ now towing to next point
dsrd = [targ_lon - lon, targ_lat - lat];
F_rslt = (F_fo_w + F_fr_w + F_fo_a + F_fr_a + F_cor... |
function aclEntry = parseAclEntry(entryString, varargin)
% PARSEACLENTRY Parses an aclEntry from its POSIX string form
% Parses an aclEntry from its POSIX string form. For example:
% 'default:user:bob:r-x'
% If the ACL string will be used to remove an existing ACL from a file or
% folder, then the permission level does... |
function zdot = Fp(z)
%--------------------------------------------------------------------------
% Project: Hybrid Feedback Control book
% Description: 1-DOF juggling system
% https://hybrid.soe.ucsc.edu/software
% http://hybridsimulator.wordpress.com/
% Filename: Fp.m
%------------------------------------------------... |
% putting things on the grayscale image
close all;
img = showimage('pics/bike_small_gray.jpg');
colormap('gray')
hold on;
% one of the two arrays should have identical values
xvals = [350,350];
yvals = [300,450];
plot(0,147,'gx','linewidth',2,'markersize',12)
plot(xvals, yvals, 'b', 'LineWidth', 2)
ylist = yvals(1):yv... |
function[out] = mqGlueWarping(k_images)
cell_warping_errors = mq_opticalflow_test(k_images);
cell_warping_weights = mq_assignWeightsWarpingErrors(cell_warping_errors);
B = mq_normalizeWeightsWarpingErrors(cell_warping_weights);
mqRefineWarpingError(B);
end |
for i = 1:9
for j = 1:9
x(i,j) = i * j;
endfor
endfor
x |
%% Test neural net performance
%% Neural net script to use
netname = 'myNeuralNetworkFunction_49010';
netscript = str2func(netname);
singleWell = true;
% %% Create x and t
%
% loadData = true;
% runsPerFile = 50;
%
% if loadData == true
%
% % Load head data
% timeToOpen = '2017-11-09 11:13:33';
% he... |
function plotBehaviorSummary(beh,roomlength)
outcomeval = [1 2 3];
figure;
if nargin < 2
roomlength = 100;%(2nd cell is good trials)
end
x = -floor(roomlength/2):floor(roomlength/2)-1;%-25:24;%
nlastexp = 4;
if nargin < 2
outcomeval = 2;%(2nd cell is good trials)
end
for i = 1:4
for j = 1:5
h(i,j)... |
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% function [clusters, point2cluster] = cluster_single(p, maxdist)
% purpose : cluster pointcloud to isolate objects
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% input... |
%% TestNUFTspeed.m
%
% Testing the speed of several implementations of the matrix-vector
% multiplications m = E*x, y = EH*m, and z = M*x, where E is a particular
% non uniform discrete Fourier transform matrix, ET is its Hermitian transpose
% and M = EH*E (with a specific implementation).
%
% Copyright, Matthieu Guerq... |
path = 'E:\Data\CHBM\HeadModel_CHBM_0\anat\';
subjects = dir(path);
compare = struct;
for j=4:length(subjects)
subject = subjects(j);
subject_name = subject.name;
disp(strcat("-->> ", subject.name));
cortex_8k = load(fullfile(subject.folder,subject.name,'tess_cortex_concat.mat'));
cortex_32k... |
function [] = ensembleModelandAccuracy(bestModels,data_test,xtest,ytest)
% This function gets 4 inputs - All best models (Decision Tree, SVM,
% Logistic Regression), the test set in a table, a double matrix of test
% set predictors, a double vector of test set real labels (y). The function
% has no output.
% At... |
function epochs_PSD = get_psd_as_epochs_fast(epochs,baselines,freq,channel_str)
epochs_PSD = epochs;
epochs_PSD.data = [];
if nargin == 3
channelID = [];
else
channelID = find(ismember(epochs.label,channel_str) == 1);
epochs_PSD.label = epochs.label(channelID);
end
iFreq = ismember(epochs.freq,freq);
... |
% ADVISOR data file: ACC_CONV.m
%
% Data source:
%
% Data confirmation:
%
% Notes:
% Defines standard accessory load data for use with an advanced conventional-
% drivetrain vehicle in ADVISOR 2.
%
% Created on: 30-Jun-1998
% By: MRC, NREL, matthew_cuddy@nrel.gov
%
% Revision history at end of file.
%%%%%%%%%%%%%%%%%... |
% This is a function to simulate photobleaching events in GFP
function n = bleach(N,t,tau)
% Assume that the process is markovian, Poisson distributed.
% n_0 is the initial number of flurophores
% t is the time
% tau is the timescale
% RandStream.setDefaultStream ...
% Create random seed:
(RandStream('mt19937ar... |
%% Paths
% AT DTU
% Data
% addpath('C:\Users\s161286\Dropbox\Master thesis\Data\SampleData')
% addpath('C:\Users\s161286\Dropbox\Master thesis\Data\Model1_data\Chb02')
% addpath('C:\Users\s161286\Dropbox\Master thesis\Data\Model1_data\Chb04')
% addpath('C:\Users\s161286\Dropbox\Master thesis\Data\Model1_data\Ch... |
function [X, W, y, A, evs, error] = ELMCLR(X, c, d, k, r, islocal, num_hidden_neurons,alpha)
% X: dim*num data matrix, each column is a data point
% c: number of clusters
% d: projected dimension
% k: number of neighbors to determine the initial graph, and the parameter r if r<=0
% r: paremeter, which could be set bo a... |
function [param,se,logL] = NEbinML(counts,cutoff)
N = sum(counts); % number of observations
K = length(counts); % number of categories
if length(cutoff) ~= K+1
error('length of cutoff must be +1 of counts')
end
[param_lN,logL0] = normal_MLbin(counts,cutoff); % CHANGE. OLD VERSION: log(cutoff(2:end))
mu0... |
clear all;
N = 6;
z_ZF = gen_data(N,N);
r = ones(1,N);a=2;num_transmit = 3;num_stream_each_transmit = [2,2,2];
H = gen_transmit(N,r,a,num_stream_each_transmit, num_transmit);
H_ZF = H_zero_forcing(H,num_transmit);
H0F0 = H{1,1};
sum_y_interferance = zeros(N,N);
for i = 2:num_transmit
HjFj_Zj = H{1,i}*transp... |
function [XC, XC2] = extract_features_2layer(X, D, D2, params, params2)
% Wrapper for 2 layer feature extraction
XC2 = zeros(size(X, 1), 5 * params2.nfeats);
XC = zeros(size(X, 1), 14 * params.nfeats);
% Break into chunks
chunksize = 100;
m = size(X, 1);
numchunks = ceil(m ./ 100)... |
function [ data ] = singlefile_treatment(fileNames)
%singlefile_treatment Launch image analysis with single threading
disp('Starting image treatment with a single thread...');
nImages=length(fileNames);
data={};
%% check folder presence
[folder_name,~,~]=fileparts(fileNames{1});
testdir... |
classdef NdgQuadFreeWeakFormAdvSolver2d < NdgQuadFreeWeakFormSlver & ...
NdgAbstractAdvSolver
methods
function obj = NdgQuadFreeWeakFormAdvSolver2d( phys )
obj = obj@NdgQuadFreeWeakFormSlver( phys );
obj = obj@NdgAbstractAdvSolver( phys );
end
%>... |
%CROSSMLS -- Performs MLS projection of each average point on all points in an array
% INPUT:
% G = {m x n} x N array of data points
% h = {scalar} Gaussian parameter
%
% OUTPUT:
% mls_CG = {m x n} array of projected points
function mls_CG = crossMLS( Depth_map_set, h )
[m,n,N] = size(Depth_map_set);
... |
function [k] = qopen(varargin)
%
% Create matlab structure for connection to KDB/Q server
%
port = 5000;
host = 'localhost';
if nargin >= 1, port = varargin{1}; end
if nargin >= 2, host = varargin{1}; port = varargin{2}; end
hs = struct('host', host, 'port', port);
% return query lamba... |
function [ t_total ] = compute_t(distance,max_speed )
%UNTITLED Summary of this function goes here
% Detailed explanation goes here
a = 1.3;
t = sqrt(distance/a);
t_total = t*2;
if t > max_speed/a
d_acc_dec = a*max_speed^2;
d_const = distance - d_acc_dec;
t_const_speed = d_const... |
imrows = size(Zpavimento, 1);
imcols = size(Zpavimento, 2);
[J, I] = meshgrid(1:imcols, 1:imrows);
[xground,yground,zground] = mydepth2realworld(J,I,Zpavimento);
%how many points for LMS regression
samples = 16;
i_rand = randperm(imrows);
i_rand = i_rand(1:samples);
j_rand = randperm(imcols);
j_rand = j_rand(1:sample... |
% fourier stuff for spatial frequency data
% matlab doesn't do 0 so the f0 is ft(1) etc
% take the fourier transform
ft = fft(data);
% find the f1 amplitude
f1Amp = abs(ft(2))/length(ft)*2;
% and the angle
f1Ph = angle(ft(2));
f1PhDeg = f1Ph/pi*180;
% find the f2 amplitude
f2Amp = abs(ft(3))/length(ft)*2;
f2PhDeg = ... |
function lam = nualpha2lam(nu,alpha)
%NUALPHA2LAM converts nu and alpha to unit lambda vector
%
% INPUT
% nu n x 1 vector of Poisson ratios (unitless)
% alpha n x 1 vector of angles between fault normal and slip vector, degrees
%
% OUTPUT
% lam 3 x n set of normalized eigenvalue triples, sorted lam1 >... |
function [c] = dicomHeader_read(c)
%
% NAME
%
% function [c] = dicomHeader_read(c)
%
% ARGUMENTS
% INPUT
% c class img2dcm class
%
% OPTIONAL
%
% DESCRIPTION
% This method access the (ls) first file in c.mstr_dicomInputDir
% and stores the meta-data.
%
% PRECONDITIONS
%
% o c.mstr_dicomInputDir must define a valid d... |
%
% projection onto active set
%
function px = Proj_B(x, lb, ub)
ndim=length(x);
px=zeros(ndim,1); %#ok<NASGU>
px=max(lb, x);
px=min(ub, px); |
function [value, isTerminal, direction] = launchEvent(z,param)
% [value, isTerminal, direction] = launchEvent(z,param)
%
% Triggers an event that tells ode45 to stop the simulation when the
% catapult reaches the launch angle.
%
% INPUTS:
% z = [q; dq] = state
% q = arm angle, (rad) measured from pos. horiz. ax... |
function global_scale(file, Nsd)
% function global_scale(filename, Nsd)
%
% LHG 9/11/14
%
% this function's job is to scale all the images in the time series so that
% the mean value for the time series is 1000 inside a mask
%
% Nsd : number of standard deviations used for the mask threshold
% the mask is made by thres... |
function outputPv=pvRestHandle(inputPv, useRest, plotOpt)
% pvRestHandle: Handle rest in PV for QBSH
% Usage: outputPv=pvRestHandle(inputPv, useRest)
% inputPv: input PV (pitch vector)
% useRest: 0 ===> remove rests, 1 ===> replace a rest by its previous non-rest pitch
% Roger Jang, 20040613
if nargin<1, selfdemo; ... |
%Author: Alireza Taale
%Date: FEB 2,2017
%Purpose: System identification HW1
%Input Excitation: given
%UBC Electrical Engineering Department, Vancouver, Canada
%Assignment #1
%File Path:C:\Users\Alireza\Google Drive\CourseWorks\Jan-2017\EECE-574\
%12Homework 1 - Due February 11, 2017
%File Name: ass01_a
%**************... |
function result = rectangle_filter1(vertical, horizontal)
% function result = rectangle_filter1(vertical, horizontal)
%
% creates a rectangle filter of type 1
% (white on the left, black on the right).
result = ones(vertical, 2 * horizontal);
result(:, (horizontal+1):(2 * horizontal)) = -1;
|
function [T,a,rho] = getatmos(H)
% 获取当地温度，声速，密度
% 温度
T = (288.15-0.0065*H) .* (H <= 11e3) + 216.65 .* (H>11e3 & H <= 20e3) + (216.65+0.001*(H-20000)) .* (H > 20e3);
% 密度
Ta = 288.15;
rhoa = 1.225;
rhotemp = (rhoa*(216.65/Ta)^4.25588);
rho = (rhoa * (T./Ta).^4.25588) .* (H <= 11e3) + ...
(rhotemp * exp(-(H-11000)/63... |
%% Script para el Analisis de Resultados
% Imagen
addpath('./tools');
addpath('../img');
folder='img';
image='lena.bmp';
file=fullfile(folder,image);
img=imread(file);
sizetmp=size(size(img));
if sizetmp(2)>2
img=rgb2gray(img);
end
imginfo=whos('img');
% Compresion con DWT
param=[];
aux=[];
w='haar';
for n=1:8;%... |
function equilrgb
% Sample script equilrgb v1.33
%
% This script uses flicker equiluminance to find
% the equiluminance point between two colours.
%
% Usage:- equil
global col colx boxx boxy numbox Mode255 FshCtDwn gpd
%
% Initial colour values are black and white
%
col = [0 0 0;1 1 1];
%
% At this point 0 mouse boxe... |
%1.1
%load dataset1
hw3dataset1 = readmatrix('hw3_dataset1.csv');
x1 = hw3dataset1(:,1:2);
y1 = hw3dataset1(:,3);
figure(1)
%plot to visualize the dataset
plot(x1(find(y1 == 1), 1), x1(find(y1 == 1), 2), 'ro','MarkerFaceColor', 'y')
hold on;
plot(x1(find(y1 == 0), 1), x1(find(y1 == 0), 2), 'rs', 'MarkerFaceColor', [1 ... |
function [ nodes_struct ] = nodes_to_struct(Nodes)
%[ nodes_struct ] = nodes_to_struct(Nodes)
%
%Convert cell array with the BST to struct data type
%Inputs:
% Nodes - a cell array with all the nodes from the BST
%
%Outputs:
% nodes_struct - struct array with six fields: A b left_node
% right... |
function [R,S] = testreginv(Args,Threshold,movie_frame_numbers,moviename,center_point,screen_height,screen_width,y_off,x_off,frame_height,frame_width,num_frames);
% Get the gabor function to be convolved with the movie
gv=gaborphase(20,15,15,Args.NumPixels);
sum_gv = sum(sum(gv.*gv));
if Args.Reps
movie_fram... |
function [success] = viewAcceptedRejectedCellExtraction(inputImages,inputSignals,valid,inputMovie,varargin)
% Plots cell image, peak transients, and image from activity in movie for accepted and rejected cells, useful for publications.
% Biafra Ahanonu
% started: 2014.01.03 [19:13:01]
% inputs
%
% outputs
%
... |
function Vec = LCTextWithSpaces2Int(str)
% Vec = LCTextWithSpaces2Int(str)
% Input: str = a string of lowercase text with spaces
% Output: Vec = the vector of nonnegative integers in the range
% (0, 1, ..., 25, 26)
% under the standard correspondence:
% 0 <-> a, 1 <-> b, ..., 25 <-> z, 26 <... |
function intensity_noise
%% Laser Intensity Noise Coupling
for ii=0:1
% Set up Optickle parameters
close all
par = paramL1;
if ii==1
par.mass = inf;
end
par = paramEligo_00(par);
opt = optEligo(par);
opt = probesEligo_00(opt, par);
opt = addProbeOut(opt, 'AM DC', 'Mod2', 'out', 0, 0);
% Frequency grid
f = [0 log... |
% import parameters
function [alphacal,dirMATLAB,outform] = cmdin(filename)
% The function will read settings file for the code
% Input is text file with attribute and value pairs
% Please use the demo for more information about the strcuture
if(exist(filename,'file')~=2)
error(sprintf('%s does not exist',... |
% Build a random modular graph, given number of modules, and link density
% INPUTs: number of nodes, number of modules, total link density,
% and proportion of links within modules compared to links across
% OUTPUTs: adjacency matrix, modules to which the nodes are assigned
% GB, Last updated: October 19, 2009
... |
%% Run Starts the Pilot Plant program
function Run()
clc;
PilotPlant.Config(4);
global PP_RUNNING;
if ~isempty(PP_RUNNING) && islogical(PP_RUNNING) && PP_RUNNING == true
error("PilotPlant is either already running, or wasn't shut down properly. Quit Matlab and try again.");
end... |
function [] = txminer_plot_gmm_fit(X,model,freqrange,minhold,maxhold,fStart,fEnd)
%UNTITLED7 Summary of this function goes here
% Detailed explanation goes here
xx=[min(X):1:max(X)];
%% Plot GMM.fit
figure(1);
clf('reset');
hold on; box on;
set(gca, 'LineWidth', 2, 'FontSize',30);%, 'Position', [.1 .1 3 5]);%,'PlotB... |
function [ output ] = pearson_correlation( data,nof )
[m,n]=size(data);
data(isnan(data))=0;
data=[1:n;data];
m=m+1;
crr=zeros(n,n);
for i=1:n
for j=i+1:n
x=data(2:m,i);
y=data(2:m,j);
c=cov(x,y);
c=c(1,2);
t=sqrt(var(x)*var(y));
c=c/t;
if isnan(... |
function edge = edge_detect(img)
klaplace=[0 -1 0; -1 4 -1; 0 -1 0]; % Laplacian filter kernel
edge=conv2(img,klaplace); % convolve test img with
end |
function [ mesh ] = makeUniformMesh1d( N, xtick, Mx, bcType )
Nmesh = checkMeshNum( N, xtick, Mx );
[ Nv, vx, EToV, EToR, BCToV ] = makeMesh( Nmesh, Mx, xtick, bcType );
% meshLine = cell(Nmesh, 1);
% for m = 1:Nmesh
% stdcell = StdLine( N(m) );
% meshLine{m} = NdgMesh1d(stdcell, Nv, vx, Mx(m), EToV{m}, EToR{... |
function [theta, J_history] = gradientDescent(X, y, theta, alpha, num_iters)
m = length(y);
J_history = zeros(num_iters, 1);
for iter = 1:num_iters
delta = (1/m)*sum(X.*repmat((X*theta-y),1,size(X,2)));
theta = (theta' - (alpha*delta))';
J_history(iter)= computeCost(X,y, theta);
end
... |
rng(mean('hyperalignment'));
colors = get_hyper_colors();
sub_ids = get_sub_ids_start_end();
% Carey: 1, ADR: 2;
datas = {Q, adr_Q};
themes = {'Carey', 'ADR'};
%% Hyperalignment procedure
for d_i = 1:length(datas)
data = datas{d_i};
[actual_dists_mat{d_i}, id_dists_mat{d_i}, sf_dists_mat{d_i}] = predict_with_... |
function [Yb, dYb_dTheta] = CombustionModel(theta, RunCond)
%UNTITLED4 Summary of this function goes here
% Yb [-] : Mass fraction of burnt gases
% dYb_dTheta [CAD^-1] : Heat release rate
deltaTheta = RunCond.CombDuration; % [CAD] Combustion angular duration
thetaIgnition = RunCond.SparkAngle; % [CAD] SparkAng... |
figure
plot(t(2:end),diff(angPos)./dt)
hold on;
plot(t,gyro_angVel)
title('Measured diff Difference');
figure
plot(t(3:end),(angPos(3:end)-angPos(1:end-2))./(2*dt))
hold on;
plot(t,gyro_angVel)
title('Measured center Difference');
% figure
% plot(t(2:end),diff(filtered_angPos)./dt,t,gyro_angVel);
% title('Filtered ... |
function cost = costfunction(y, H)
[H,Ts,drone1_info, drone2_info] = drones_info;
[mass,inertia_moment,arm_moment,gravitational_acceleration] = parameters;
%% Unpacking drones
% drone 1
id1_u1 = drone1_info(1,:);
id1_u2 = drone1_info(2,:);
id1_x = drone1_info(3,:);
id1_z = drone1_info(4,:);
id1_theta = drone1_info... |
close all;
clear all;
clc;
imu = rossubscriber('/drone/sensors/imu_grav', @imuhandler);
gnss = rossubscriber('/drone/sensors/gps', @gnssHandler);
%% Set static data
tf = 300;
global dt;
dt = 0.01; % Gyro and Acc frequency
%% matrices
global C;
C = [ 1 0 0 0 0 0 0 0 0 0; % 6x10 matrix that defines the parts of the ... |
%========================================================================================
% average_connectivity.m
%
% This script takes the connectivity matrices resulting from
% Create_Compiled_Values_Petersen.m (or Gordon) located at:
%
% ~/Nicco/NIQ/EXPANSION/Probtrack_Subject_Specific/Compiled_Values/{SubjectID... |
function uci_test()
load uci.csv;
label=uci(:,5);
uci=uci(:,2:4);
[~,~,~,gama]=GMM_EM(7,uci); |
function [data, models] = outreg2mat(filename, cols, headerlinesN)
%
% S. HSIANG
% SMH2137@COLUMBIA.EDU
% 11/10
%
% ----------------------------
%
% [coeffs, models] = outreg2mat(filename, cols, headerlinesN)
%
% ---------ARGUMENTS
% filename - string filename [output from Stata's outreg2 command]
% cols - number of m... |
function elem = atshiftelem(elem,dx,dz)
%ATSHIFTELEM set new displacement parameters
%NEWELEM=ATSHIFTELEM(OLDELEM,DX,DZ)
%
%DX: horizontal element displacement
%DZ: Vertical element displacement
%
%See also: attiltelem, atmodelem
disp=[dx;0;dz;0;0;0];
elem.T1=-disp;
elem.T2=disp;
end
|
%Author: REDJAN F. SHABANI
%Universita' degli studi di Roma "LA SAPIENZA"
%Ingegneria Informatica - Intelligenza Artificiale
%Version: Dec. 2009
%%
%DATASETS GENRATION
clc;
clear;
%Class 1
m1=[0;0];%means vector of distribution
s1=[1;1];%standard deviations of distribution
N1=450;%number of data
[x1,y1]=gaussDistrib2(... |
walklength=500;
rlistx=rand(2,walklength);
stepx=rlistx>0.5;
stepx=(stepx*2)-1;
walk=cumsum(stepx,2);
plot(walk(1,:),walk(2,:))
axis equal,xlim([-50,50]),ylim([-50,50]);
xlabel('x'),ylabel('y');
title('y vs x');
|
%% Add the approprate folders to the path
%Path of the SOSpikingModel repository
%repopath = '/Users/dlevenstein/Project Repos/SOSpikingModel';
%repopath = '/scratch/jmg1030/WeightAnalysis/Data/SOSpikingModel';
repopath = '/Users/jonathangornet/Documents/GitHub/SOSpikingModel';
%repopath = '/home/jmg1030/SOSpikingMod... |
function [ns_RESULT, Data] = ...
ns_GetAnalogDataBlock(hFile, EntityIDs, StartIndex, IndexCount, scaleFlag)
% Usage:
% [ns_RESULT, ns_RESULT] = NS_GETANALOGDATABLOCK(hFile, EntityIDs,
% StartIndex, IndexCount, scaleFlag)
%
% Description:
% Returns the data values associated with the Analog (continuious) data
% f... |
function B = ruidoB_caso3(x)
% función encargada de calcular el campo B dado alambre infinito con una corriente de 60 A
% a unda distancia de entre 2 m a 3 m del loop de calibración.
%--------------------------------------------------------------------------
%---Parameters settings---
mu_0 = 4*pi*1e-7; % Permeabilida... |
function [header,headersize] = ReadEnvHeader(fid)
% [header,headersize] = ReadEnvHeader(fid)
% Read the header from .env files
[header,headersize] = ReadAIHeader(fid);
if (header.type ~= 4)
error('File is not .env type');
end
header.versionEnv = fread(fid,1,'int16');
header.decimate = fread(fid,1,'int32');
|
function robj = roboop(conffile, robotname, T_f_base, T_EE_tool)
% Syntax
%
% robj = roboop(conffile, robotname)
% robj = roboop(conffile, robotname, T_f_base)
% robj = roboop(conffile, robotname, T_f_base, T_EE_tool)
%
% Description
%
% Creates a RoboOp robot object from the robot parameters sp... |
function Hd = lp5orbt(f,fc)
%HD1 Returns a discrete-time filter object.
%
% M-File generated by MATLAB(R) 7.8 and the Signal Processing Toolbox 6.11.
%
% Generated on: 09-Feb-2012 06:39:19
%
% Butterworth Lowpass filter designed using FDESIGN.LOWPASS.
% All frequency values are in Hz.
Fs = f; % Sampling Frequency
N... |
%close all;
clearvars;
% ********************
% Simulation settings
% ********************
controller = 2;
run_from_script = 0;
plotting = 1;
saveplotting = 0;
start_time = '0';
end_time = '260';
solver_type = 'Fixed-step';
Ts = 0.1;
% ********************
run('hev_parameters')
run('hev_drivecycle')
load('PWAM.mat... |
function Z = feature_zcr(window)
%ZCR
window2 = zeros(size(window));
window2(2:end) = window(1:end-1);
Z = (1/(2*length(window))) * sum(abs(sign(window) - sign(window2)));
|
function plot_hist(f_bl,f_br,type,chain,order)
fin1=fopen(f_bl);
fin2=fopen(f_br);
% headers
h=fgetl(fin1);
fgetl(fin2);
% load files
data_bl=textscan(fin1,'%s%d%s%s%s%d');
data_br=textscan(fin2,'%s%d%s%s%s%d');
fclose(fin1); fclose(fin2);
% extract data
cdr3_bl=data_bl{5};
vals_bl=data_bl{2};
cdr3_br=data_br{5};
... |
% daqSessionSave.m saves out the full data file (initialized/created by
% daqSessionClose.m)
% updated 6/18/19 to include 2d ball treadmill data
global session % our global variable to store everything
if isfield(session.temp,'fulldata')
%dlmwrite([session.dataFilename '_matrix.txt'],session.temp.fulldata,'delimi... |
function [grades] = checkSubmittedExams(examInfo,ap)
cd(ap.Submitted);
if exist('checkSubmittedExam.mat','file')
load('checkSubmittedExam.mat');
else
%% Unzip Exams
zfiles = dir('*.zip');
if isequal(length(zfiles),0)
warning([newline mfilename ': ' newline 'No Zip-files found in submitted' newl... |
function update_param_first (filename, target_param, edited_param)
% replace line containing target_param with given edited_param string
%
% this is a shortcut calling find_str_after(line 0) and
% update param
%
% Syntax : update_param_first (filename, target_param,
% edited_param)
%
% Param : filename, st... |
function y=con_leng(matr,len)
%the least length of the stem
a=length(matr);
ind=find(matr==10);
tmp_10=[];
%top
for i=2*len-1:a
tmp=ones(1,ceil(i/2))*((i-1)*a+1)-(0:(a-1):(ceil(i/2)-1)*(a-1));
tmp0=matr(tmp);
tmp1=find(tmp0==10);
tmp2=(tmp1(1:end-len+1)+len-1)-tmp1(len:end);
tmp_10=[tmp_10,tm... |
function save_struct_as_table(outname, S, varargin)
opt.append = false;
opt = parsevarargin(opt,varargin, 3);
C = struct2cell(S);
colnames = fieldnames(S);
ncols = size(C,1);
C = flatten(C,2:ndims(C));
for i = 1:numel(C)
C{i} = C{i}(:);
end
if size(C,2) > 1
C2 = cell(ncols,1);
for i = 1:ncols
C2... |
classdef (Abstract) PF_Fc < F_2D & iU_Compositional
%PF_Fc Summary of this class goes here
% Detailed explanation goes here
properties
t
dWdp
end
methods
function obj = PF_Fc(f)
obj = obj@F_2D(f);
end
end
end
|
function frames = read_frames(video_path)
%READ_FRAMES Read the needed frames from a video
%
% Apr. 2015, Zexi Mao
interval = 1;
video = VideoReader(video_path);
frame_nums = round(1 : video.FrameRate * interval : video.NumberOfFrames);
frames = zeros(video.Height, video.Width, 3, length(frame_nums), 'uint8');
for i... |
function [SpecLoudness, Cbn] = gene_mainLoudness2density(krn, Nbc, show)
%%%%%%%%%%%%%
% FUNCTION:
% Calculation of loudness of impulsive sounds acording to Boullet's model
% LMIS: Loudness Model for Impulsive Sounds
%
% USE:
% [SpecLoudness, Cbn] = mainLoudness2density(krn, Nbc, show)
%
% INPUT:
% ... |
function G = evalDHMatrix(a, d, alph, thet);
% Transl (d) along z + rot (thet) about z
% Transl (a) along x + rot (alph) about x
G = [ cos(thet), -sin(thet)*cos(alph), sin(thet)*sin(alph), cos(thet)*a
sin(thet), cos(thet)*cos(alph), -cos(thet)*sin(alph), sin(thet)*a
... |
function LoadInitialGuess(nlp, init_params)
% load initial guess from previous result or simulated trajectory.
% input can be the file name of the optimal gait or the structure of
% exported data which should include the followings:
% * tspan
% * states
% * params
% * inputs
... |
function lTable = traverse2(root, adjM, pts)
parent = CList();
path = CQueue();
path.push(root);
edgeCount = 0;
while ~path.isempty()
node = path.pop();
parent.pushtorear(node);
children = find(adjM(node,:) == 1);
for n = 1:length(children)
if ~parent.contains(children(n));
... |
%**********************************************************************************************
%**************************** CHAPTER 3: RIGID-BODY MOTIONS *********************************
%**********************************************************************************************
function T = RpToTrans(R,p)... |
% Erick Andres Obregon Fonseca
% Analisis Numerico para Ingenieria
% Segundo Examen Programado
% Semestre II. 2019
% Pregunta 1
% Ejercicio c
clear all;
close all;
% Funcion del ejercicio a
function y = f(x)
y = x^2*e^(x^2);
endfunction
% Funcion del ejercicio b
function I = NC4(a, b)
h = (b - a)/5;
I = (5*h/... |
function [ ] = erase_roc_results( folder )
dirs=listpath_dir(folder);
for i=1:length(dirs)
results_struct_folder=[folder '/' dirs{i} '/' 'results.mat'];
load(results_struct_folder);
for m=1:length(results_struct.metrics)
if isfield(results_struct.metrics{m},'roc_all')
results_struct.me... |
function removeNoiseImage = removeNoise(I)
NUM_NOISE_THRESHOLD = 0.05;
NUM_NOISE_GRAD_THRESHOLD = 100;
%Appy Sobel to extract edge
hy = fspecial('sobel');
hx = hy';
Iy = imfilter(double(I), hy, 'replicate');
Ix = imfilter(double(I), hx, 'replicate');
gradmag = sqrt(Ix.^2 + Iy.^2);
%figure, image(gradmag,[]), title('... |
function [energy_total, time_total, distance_total] = ...
compute_energy_time_and_distance_emodel_v2(E_model, E_angle_speed, E_rotate,...
waypoints, angles, altitude, old)
v_rotate = E_model.v_rotate;
energy_total = 0;
time_total = 0;
... |
clc;
close all;
n=10;
s=1;
t=0:n-1;
plot(t,s*t);
xlabel('Time ');
ylabel('Amplitude');
title('Ramp Signal'); |
%GHTP2NN_GT Graded Hard Thresholding Pursuit Non-Negative (with ground truth)
% GHTP2NN_GT(y,A,gt) runs the Hard Thresholding Pursuit started with x0=0 and with
% an increasing size of the support
% Usage: [ x,S,NormRes,NbIter, Ss, NormRess ] = ghtpnn_gt( y, A, gt, x0, MaxNbIter, tolRes, verboseMode )
% y: column vec... |
function y = cellMax(x)
%
% function y = cellMax(x)
%
% Compute the maximal of cell vector x
%
% Input -
% x: NxM cell matrix
%
% Output -
% y: scale number
%
% Example -
% >> y = cellMax(x)
%% Parameter check
if ~iscell(x)
error('Error! Cell input needed.')
end
%% Initialization
[m, n] = size(x);
y = zeros(m,n);... |
function [ x ] = GEM( a,b )
clc;
a
b
tic
noofsol=no_of_sol(a,b);
timevar1=toc;
if (noofsol==1)
tic
ab=[a b]
[m n]=size(ab);
Ech_a=EchForm(ab);
x=zeros(1,m)
for s=m:-1:1
c=0;
for k=2:m
c=c+Ech_a(s,k)*x(k)
end
x(s)=(Ech_a(s,n)-c)/Ech_a(s,s)
end
x... |
function alignXAxes( varargin )
% ALIGNXAXES
%
% Zoom in and out of a 2-D plot with multiple axes while keeping the
% x-axes aligned.
%
% Syntax
%
% alignXAxes( 'SelectionType' )
% alignXAxes( 'SelectionType', figHandle )
% alignXAxes( 'SelectionType', figHandle, zoomFactor )
% @alignXAxes... |
%% NN to arff for weka
fid=fopen('xxxx.arff','w');
%epoch 300-450
load('nnfile.mat')
dataCount = size(clipSignal,1);
dataSize = size(clipSignal,2);
fprintf(fid, '@relation xx\n\n');
for i=1:dataSize-1
in = sprintf('@attribute a%d numeric',i);
fprintf(fid, '%s\n', in);
end
fprintf(fid, '@attribute class {0,1... |
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