text stringlengths 8 6.12M |
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function [ChiGrid, ksnG] = chi_FD_AP_modified(DEM, FD, varargin)
% chi_profiler.m allows for interative river profile analysis via
% the integral or chi method (e.g. Perron and Royden, 2013). Users can
% regress through channel segments to get ksn and select knickpoints along
% river profiles
%
% Inputs:
% 1) DE... |
%% mod of tintx to explicit Euler
%
% [p,t1,ts,nc] = tintx(p,t0,ts,dt,nt,nc,pmod,smod)
function [p,t1,ts,nc]=expl_eu_tintx(p,t0,ts,dt,nt,nc,pmod,smod)
n=0; t=t0; [L,U,P,Q,R]=lu(p.mat.M);
while(n<nt)
G=pderesi(p,p.u); du=Q*(U\(L\(P*(R\G))));
p.u(1:p.nu)=p.u(1:p.nu)-dt*du;
t=t+dt; n=n+1;
if(mod(n,pmod)==0);
... |
clc;
fprintf('=================================[ ASA_Example.m ]================================\n\n');
fprintf('This script calculates the 3D pressure of a 128-element array of rectangular\n');
fprintf('transducers by using the Angular Spectrum Approach to propagate an initial field\n');
fprintf('calculated with t... |
% ADVISOR data file: ACC_SER_HYBRID_BUS.m
%
% Data source: word of mouth estimates
%
% Data confirmation: none
%
% Notes:
% Defines standard accessory load data for a series hybrid transit bus--default
% values are for A/C off but values with A/C on are given (commented out).
%
% Created on: 15 August 2001
% By: MPO,... |
function [coords] = getCropCoords(thisFrame,varargin)
% GUI to allow users to select crop coordinates.
% Biafra Ahanonu
% started: 2014.01.03 [19:13:01]
% inputs
%
% outputs
%
[coords] = ciapkg.image.getCropCoords(thisFrame,'passArgs', varargin);
end |
De eerste output van de standaard functie max() geeft je
het index nummer terug. |
function features = AnalyzeDominantColors(record, index, save_path)
addpath('lib');
for i=1:length(index)
i
% tic
file_path_cell = record.path(index(i));
features{i} = analyze_poster(file_path_cell{1}, save_path);
% toc
end |
% Aaron Ma
% 20091536
% March 14th, 2017
% EESM5700 HW 1 - Problem 3.3
% -------------------------------------------------------------------------
% Clear workspace before starting script
clc; clear;
close all;
% -------------------------------------------------------------------------
% Read the target image
I = im... |
function f_boxPlotPerDay(session, runDir, runThese, dataKey, layerName)
% f_boxPlot will create a box and whisker plot for each data session in
% runThese. Plots are grouped by dataKey.treatmentGroup.
%
% Inputs
% session: IEEG session including all sessions for which to plot events
% runThese: vector of... |
%% Electric
clear all
clc
SetAdvisorPath;
%Pass the vehicle
input.init.saved_veh_file='ev_small_in';
[error_code,resp]=adv_no_gui('initialize',input);
% Modify the Vehicle Parameters
input.modify.param = {'veh_cargo_mass','veh_glider_mass','veh_FA','veh_CD'};
input.modify.value = {100,756,1.8,0.22};
[error_code,res... |
function [mu,esvarm] = karl(A,B,C,D,Yem)
mu = Yem(:,1);
muu = [];
esvarm = zeros(length(Yem(:,1)),length(Yem(:,1)));
for l = 1:length(Yem(1,:))-1
mum = A + B*mu;
esvarmm = B*esvarm*B' + C;
kgain = esvarmm*((D+esvarmm)^(-1));
mu = mum+kgain*(Yem(:,l+1)-mum);
esvarm = esvarmm - kgain*esvarmm;
muu ... |
b=[1];
a=[1,-0.5,0.2,-0.1,0.007,0.14,0.15];
n=1001;
[h,w]=freqz(b,a,'whole',n);
figure;
zplane(b,a);
%By geometrical intuition, we can say that the peaks in the magnitude response graph represent poles at that particular
%frequency, and the lows in the graph represent the zeros. By comparing the actual location of ... |
function x=BackSubstitute(A,p,b,x)
%A is U and b=c so Ux=c;
[m,n]=size(A);
[pn,pm]=size(p);
tmp=zeros(1,1);
%nargin is inbuilt variable that defines how many variables are passed as arguement to function
if nargin==3
x=zeros(n,1);
end
for i=pn:-1:1
tmp=b(i);
for j=n:-1:i+1
tmp=tmp-A(i,j)*x(j);
end
... |
function [data_both] = process_data_sepFeet(folder)
disp('reading data');
myFiles = dir(fullfile(folder,'*.csv'));
Fs = 1/(10/1000);
start_time = 0;
cycle_mat = [];
data_fin = [];
strides_bool_fin = [];
labels = [];
keep_inds = [];
data_both = [];
filter_sig = true;
F_lowpass = 8;
F_highpass = .5;
for i = 1:length(... |
%% linux_savefig
%% Syntax
% linux_savefig(hf[,fname])
%% Description
% save figure with handle hf in folder fn_cd('capture'), under the name
% figuretitle_date_time.png
%
% works only under linux, with ImageMagick installed
%% Source
% Thomas Deneux
%
% Copyright 2009-2012
%
|
[x, fs] = wavread('../Audio/Beatles.wav');
x = x(Fs*32.5:Fs*35);
Fc = 240;
[b,a] = butter(8,2*(Fc/Fs),'low');
x1 = x;
input1 = filter(b,a,x1);
x2 = input1(1:2:end);
input2 = filter(b,a,x2);
x3 = input2(1:2:end);
input3 = filter(b,a,x3);
x4 = input3(1:2:end);
input4 = filter(b,a,x4); |
function [p] = onaxis_foc(z, f, a, R, c)
% [p]= onaxis_foc(z, f, a, R, c) calculates the on-axis pressure,p, at the
% locations z(in mm)of a spherically focused transducer of radius a
% (in mm) and focal length R(in mm) radiating into a fluid with wave speed
% c(in m/sec), using the O'Neil model. If R = inf, the... |
% Find seperation distance for a set of different hues
% (Blue-white-red style)
clear all;
close all;
%% Parameters
use_uplab = false;
% CIELab bwr: 296, 40
% UPLab bwr: 309, 54.75
handpicked_hue1 = 309; %[]; % 290; % Blue
handpicked_hue2 = 54.75; %[]; % 41; % Red
via_black = 0; % Go via near-white (0) or near-bl... |
function [ mode ] = MAJORITY_VALUE( binary_targets )
%MAJORITY_VALUE Summary of this function goes here
% returns the mode of the binary_targets
if sum( binary_targets ) >= length( binary_targets ) / 2
mode = 1;
else
mode = 0;
end
end
|
function gene_table = adjmatrix2edgelist(metric,gene_list)
absmetric = abs(metric);
L = length(metric);
rowind = repmat([1:L]',1,L);
rrows = reshape(rowind,L*L,1);
rowind = repmat([1:L]',1,L);
colind = rowind';
rrows = reshape(rowind,L*L,1);
rcols = reshape(colind,L*L,1);
rmet = reshape(absmetric,L*L,1);
[smets,sind] ... |
classdef NeuralArea < handle % 'handle' allows properties to be updated
%-----------------------------------------------------------------------
%% INITIAL CLASS PROPERTIES
%-----------------------------------------------------------------------
properties
% Numbers of each neuron type
... |
function [h_figure, p, settings] = sd_config_figure(layers, settings)
% SD_SETUP_FIGURE Configures the figure window
%
% DESCRIPTION
% This function computes the figure dimensions and the layout of the
% figure.
% If a panel object was provided, optimal layout is computed.
%
% SYNTAX
... |
function [U, R, eflag, it, Jc] = NSOLVE(func, U0, opts)
%NSOLVE Uses Newton iterations to solve
%
% USAGE:
% [U, R, eflag, it, jc] = NSOLVE(func, U0, opts);
% INPUTS:
% func : Function handle [F, dFdU] = func(u);
% U0 : Initial Guess
% opts : Options structure with,
% reletol (float)
% etol (float)
% utol ... |
function hyper_param = find_param(train_samples_output,train_samples_input,covfn,numhyp)
%set inputs and outputs
%set population size for the DE algorithm; approx 10x number of
%hyperparameters is a classic setting; however >40 shows limited improvement
population_size = numhyp*10;
%number of ite... |
function bias = gabias(gbias, abias)
% Gyro & Acc constant bias setting.
%
% Prototype: Gyro & Acc constant bias setting
% Inputs: gbias - gyro bias, in deg/h
% abias - acc bias, in ug
% Output: bias - = [gbias; abias]
%
% See also imuerrset, avpset, insupdate.
% Copyright(c) 2009-2021, by Gongmin Yan, All r... |
function [ err ] = fitsingleexp( param, Nmeas, N0, t)
%This function returns a cost function to be minimized
g = param(1);
N_model = singleexp(g, N0,t);
err = N_model(2:end) - Nmeas;
end |
function [im_out] = PWLMT(im,a,b,m,n)
%PWLMT is the abbreviation of piece-wise linear mapping transform;
% The formula changes the gray value of an image by a piecewise linear
% function;
[r,c] = size(im);
im_out = double(zeros(r,c));
im = double(im);
for i=1:r
for j=1:c
if im(i,j) < m
... |
%%% Model of Scranton & Vasseur 2016 (Theor Ecol.)
%%% Developped by Picoche & Barraquand 2018
% Graph showing growth rate for SFE poster
clear all; close all; clc;
global S tau0 mu_tau sigma_tau tau_min tau_max a_r_tau0 E_r k A m thresh_min tspan r
afontsize=15;
S=60 %number of species (60 for SV)
col=jet(60);
%Tem... |
%Teste les deux séquences et garde la meilleure
[seq_a,seq_b] = seq_bonus;
%SEQUENCE 1
%code aléatoire
permutation = alphabet(randperm(40));
%Nombre d'itérations
it = 10000;
%Fait des permutations aléatoires dans le code et si meilleure vraisemblance on garde
while(it > 0)
permutation_next = exchange (permutatio... |
function v_fXhat = ApplyViterbiNet(v_fY, net, GMModel, s_nConst, s_nMemSize)
% Apply ViterbiNet to observed channel outputs
%
% Syntax
% -------------------------------------------------------
% v_fXhat = ApplyViterbiNet(v_fY, net, GMModel, s_nConst)
%
% INPUT:
% ----------------------------------------------... |
% Tests the functionality of frequencyResponse, ampMod and ampDemod
Fs=4000; % sampling frequency
t=0:1/Fs:2;
sig= cos(2*pi*10*t); % massege signal
c = cos(2*pi*1000*t); % carrier signal
mod_sig = ampMod(sig, c, Fs);
deMod_sig = ampDemod(mod_sig, c, Fs); |
function trial_mrk = tl_mrk_getTrialMarkers(mrk)
% Returns the cell trial_mrk that in each entry contains the marker indices
% of single trials, relative to the complete set of markers.
%min_ts2emg = 1300;
min_ts2emg = 0;
mrk = mrk_sortChronologically(mrk);
mrk = tl_mrk_unifyMarkers(mrk,'start');
ci_ts = find(strcmp... |
function [params,paramsmap] = getSMmap(mainDir,patientname,x,y,z,A,normdecay,b)
% A---the size of orginal 3D images
% x,y,z---the remembered coordinates of original 3D images
% b--- b values;
% mainDir and patientname are the dictionary to save IVIM
% normdecay&onormdecay---onormdecay is the original decay data wh... |
function ksp = mrir_fDFT_phasencode(img, coordinate_str, varargin)
%MRIR_FDFT_PHASENCODE forward Discrete Fourier Transform along phase encode
%
% ksp = mrir_fDFT_phasencode(img, coordinate_str)
% jonathan polimeni <jonp@padkeemao.nmr.mgh.harvard.edu>, 2007/jan/24
% $Id$
%*********************************************... |
function lx = makeLocationMap( dims , nam , N )
Nmaps = size(dims,1);
lx = zeros(N , 2^13 + 3 );
px = {};
for i = 1 : Nmaps
px{i}.r = partitionindex( dims(1,1) , dims(i,1) );
px{i}.c = partitionindex( dims(1,2) , dims(i,2) );
end
for i = 1 : Nmaps
for j = 1 : dims(i,1)
for k = 1 : dims(i,2)
... |
function init_alloc = initialise_simple(inputData, num_jobs, num_machines)
% Pre-allocate for speed
init_alloc = zeros(num_jobs,2);
input_data_jobs = inputData(1:num_jobs);
input_data_jobs_sorted = sort(input_data_jobs ,'descend');
% Pre-allocate for speed
init_alloc = zeros(num_jobs,2);
% First round allocation (an... |
delta = [1 4];
theta = [4 8];
alpha = [8 12];
lowerBeta = [12 18];
higherBeta = [18 30];
%% speech plot
load('C:\Users\SMukherjee\Desktop\data\dual_eng\mat\FiieldtripClustering\perfect\prespeech\importent_nobaseline_1sec_nolog_sepcond_oldsettings_5ms_-500-0\speech_tfr.mat',...
'GA_CONV','GA_NOCH');
time = [-0.5:0.5:0... |
pkg load symbolic
% Funcion que implementa el metodo de descenso coordinado
% :param str_funcion: string con la funcion que se debe evaluar
% :param variables: lista con las variables de la ecuacion
% :param vector: vector inicial de necesita el metodo
% :param tol: tolerancia al fallo que debe tener el resultado
% :... |
function [c_MLE, k_MLE, ERT] = wblmle(n, c, k)
% WBLMLE Maximum likelihood estimator for a given Weibull distribution.
% The function generates n sample points from the Weibull distribution
% with parameters c and k. It then generates 101 candidates for c an k
% in a range of [0.7c:1.3c] and [0.7k:1.3k].
% It c... |
%% COMPARACION ENTRE LOS DOS PROBLEMAS
format long
%% Defino la funcion f del primer problema
f1=@(t,y,k,m)(k*y*(m-y));
% Inicializo algunos parametros dados.
k=2*10^(-6);
m=1*10^5;
y0=1000;
% Introduzco los limites de contorno y el numero de iteraciones.
a=0;
b=30;
n=30;
%Utilizo el metodo Runge-Kutta de orden 4
... |
function [bin,rw]=en_zone_new(r,lB,nc)
th=[cumprod(2*ones(1,11)); 3*cumprod([1 2*ones(1,10)])]; th=reshape(th,1,22); th=[1 th 4096];
p1=0.7; p2=0.8; Ln=length(nc);
%first sep: ==============================================================
idx=find_thd_idx(nc,p1,th); thd1=th(idx) %%%%%%%%%%%%%%%%%%%%%
bin_idx1=encode... |
clear
close all;
% DESK
addpath(genpath('C:\Users\bastien\Documents\internship\biosig4octmat-3.1.0\biosig\t200_FileAccess'))
addpath(genpath('C:\Users\bastien\Documents\internship\Miw'))
processFolder= 'C:\Users\bastien\Documents\internship\Miw\gtec16';
filename = 'C:\Users\bastien\Documents\internship\data_ONLINE\da... |
function [out]=match2gps(gpsPuck,timePuck,imageTime)
for i=1:length(imageTime)
delta = abs(imageTime(i) - timePuck);
loc = find(delta == min(delta));
out(i,:) = [imageTime(i), timePuck(loc(1)), gpsPuck(loc(1),:)];
end
end
|
function motor_init( roro )
%% data from thrustcurve.org
% Reads the .eng thrust file of the motors and calculates the reletive
% properties of the motor.
% Extracting thrust curve
R1=4;
C1=0;
motorname = char(roro.motorname);
motordata = dlmread(motorname,'',R1,C1);
roro.moto... |
function Py = project(y,b,e,s)
% Project y onto real(dot(y,b)) - e * norm(y) >= s
tol = 1e-12;
if (nargin < 4) || isempty(s)
s = 1;
end
if (nargin < 3) || isempty(e)
e = 0;
end
yb = real(dot(y(:),b(:)));
yy = dot(y(:),y(:));
bb = dot(b(:),b(:));
nb = realsqrt(bb);
if e <= to... |
function run_training_grad(config_filename)
fprintf('load %s\n', config_filename);
eval(config_filename);
parameter
addpath('../../util');
run ../../util/vlfeat-0.9.20/toolbox/vl_setup;
input_dir = fullfile('../../images', parameter.training_dataset);
LR_dir = fullfile(sprintf('sf%s', num2str(parameter.sca... |
Y=[];
importcsv('bzip2.csv');
Y=ProcPwr;
x1 = Ambient_Temp0;
x2=Ambient_Temp1;
x3=Blower_Fan_0;
x4=Blower_Fan_1;
x5=CPU_0_Temp;
x6=CPU_1_Temp;
x7 = HT1Scaled;
x8=HT2Scaled;
x9=cmiss_core0_scaled;
x10=cmiss_core1_scaled;
x11=cmiss_core2_scaled;
x12=cmiss_core2_scaled;
x13=bzip2;
x14=cactusadm;
x15=h264ref;
x16=lbm;
x... |
function [gradientx,gradienty] = sobelFilter(img)
% This performs a Gaussian blur on the image specified from the root
% directory. Assuming that we will reduce the image size.
% img should be an imread() object, in UINT8 form.
img = double(img);
s = size(img);
Bx = 1/8 * [
[-1 0 1];
[-2 0 2];
[-1 0 1];
... |
function Q = extractQ(QR,d)
% test function that creats Q with higher cost: v*v' grows by n^2
[n,m] = size(QR);
H = eye(m,m);
for j=1:m
v = [d(j);QR(j+1:end,j)];
v = v/norm(v);
Hj = eye(m,m);
Hj(j:end,j:end) = eye(m-j+1,m-j+1) - 2*v*v';
H = Hj'*H;
end
Q = H;
end
|
function [ H ] = est_homography(video_pts, logo_pts)
% est_homography estimates the homography to transform each of the
% video_pts into the logo_pts
% Inputs:
% video_pts: a 4x2 matrix of corner points in the video
% logo_pts: a 4x2 matrix of logo points that correspond to video_pts
% Outputs:
% H: a 3x3 h... |
%% resample encoder
function downs = resample_encoder(img)
[h, w, d] = size(img);
nt = 4;
fp = 3;
downs = zeros(h/2, w/2, d);
for ch = 1:d
% wrapping
img_wrapped = padarray(img(:, :, ch), [nt, nt], 'symmetric');
% resample
img_ds = resample( resample(img_wr... |
%% Info
% Copyright (C) 2017, Navid Haghdadi, n.haghdadi@unsw.edu.au
% TDA is open source software for assessing existing and proposed new tariffs.
% It offers a range of analyses as described in this document to assist energy
% market stakeholders and the wider community to analyse the impact of different
% tariffs ... |
#! /usr/bin/octave -qf
# Sin pivoteo
function [A] = cholesky(A)
n = size(A)(1);
# Limpiamos la parte triangular superior porque la matriz es simetrica
for i = 1 : n
for j = i + 1 : n
A(i,j) = 0;
end
end
A(1,1) = sqrt(A(1,1));
# Llenamos la primera col... |
%% RSA-based 'neurometric' mapping
%(c) Bernhard Spitzer, 2016
%%
clear all; restoredefaultpath;
addpath('thirdparty');
datapath='rdmdat\';
selmod=1; % 1: visual; 2: auditory
subjects={'01';'02';'03';'04';'05';'06';'07';'08';'09';'10';'11';'12';'13';'14';'15';'16';'17';'18';'19';'20';'21';'22';'23';'24'}; ... |
function [P, x_boot, ds, os] = Get_selective_boot(data, dir, n_boot)
%data = imgobj.dFF_s_each(:,:,k)
rng(6281980)
n_data = size(data, 2);
x_boot = zeros(n_boot, n_data);
%remove NaN and resample data for each direction
parfor i = 1:n_data
x = rmmissing(data(:,i));
x_b = bootstrp(n_boot, @mean, x);
x_boot(... |
function [denoisedData] = remove1stPC(data)
%REMOVE1STPC reconstructs data without the first PC.
% Denoising with principal component analysis
%
%
% author: Elliot H Smith - https://github.com/elliothsmith/seizureCodes
% PCA
[w,pc,ev] = pca(data);
% reconstruction without 1st component
denoisedData ... |
function [alpha_est, lambda_est, L] = bplcutfit(h, boundaries, varargin)
% BPLCUTFIT fits a power-law cutoff model to the data
% Source: http://tuvalu.santafe.edu/~aaronc/powerlaws/bins/
%
%----------
% Options:
%----------
% 1. l = bplcutfit(h, boundaries, 'range', 1.5:0.01:3.5, 0.1:0.01:1)
% The 'range' option ca... |
function response= bmfundamped(x)
x=exp(x);
kp=x(1);ks=x(2);mp=x(3);ms=x(4);zp=x(5);zs=x(6);fs=x(7);s0=100;
wp=sqrt(kp/mp); ws=sqrt(ks/ms);wa=(wp+ws)/2; za=(zp+zs)/2; gamma=ms/mp; tetta=(wp-ws)/wa;
response=-(fs)+3*ks*( ((pi*s0)/(4*zs*ws^3)) * ((za*zs)/(zp*zs*(4*za^2+tetta^2)+gamma*za^2)) * (((zp*wp^3+zs*ws^3)*wp)/(4*z... |
recomputeVocab = 0; %change this to 1 to update kMeans
addpath('./provided_code/');
framesdir = './frames/';
siftdir = './sift/';
fnames = dir([siftdir '/*.mat']);
NUMFRAMES = 300;
k = 400;
if(recomputeVocab == 1)
increment = round(length(fnames)/NUMFRAMES);
SIFTdata = [];
all_orients = [];
all_posit... |
wax=[3 15 0.5 1];
xx=[3 6 9 12 15];
LW1=3;
nirs='r-';
eeg='g-';
comb='b-';
figure,hold on
plot(xx,mean(Cgaverage_nirsAMf),'r-.','Linewidth',LW1)
plot(xx,mean(Cgaverage_eegAM),'g-.','Linewidth',LW1)
plot(xx,mean(Cgaverage_combAMf),'b-.','Linewidth',LW1)
set(gca,'XTick',[3 6 9 12 15])
xlabel('time in seconds'),ylabel('ac... |
close all;
% Samples column-wise
X = [1.0 1.7
2.2 1.4
2.1 2.3
0.7 2.2
2.6 1.9]';
selection = unique(randi(5, 1, 5));
W = k_means(X, X(:, selection));
function W = k_means(X, W0)
% Codebook vectors
W = W0;
% History of codebook vectors
W_hist = W(:);
minimum_change = 1e-3;
... |
function [xhat, error, A] = lmsALE(x, mu, M, delta)
N = length(x);
A = zeros(M,N);
xhat = zeros(size(x));
error = zeros(1,N);
for i=delta+M:N
xpast = x(i-delta:-1:i-delta-M+1);
xhat(i) = A(:,i)'*xpast';
error(i) = x(i)-xhat(i);
A(:,i+1) = A(:,i) + mu*error(i)*xpast';
... |
function G = DowndateChol(G0,z)
% function G = DowndateChol(G0,z)
% Downdating a Cholesky factorization.
% G0 is nxn lower triangular and z is nx1. G is nxn lower triangular
% such that G*G' = G0*G0'-z*z'.
% GVL4: Section 6.5.4
n = length(z);
G = [G0 z];
% G is nx(n+1) lower Hessenberg
for k=1:n
% Ze... |
function subfnCalculateLOOCV(InDataFile,NPCs)
% Need to calculate the mediation effect in the left out subject
%
NPCs = str2num(NPCs);
[PathName FileName] = fileparts(InDataFile);
OutDir = fullfile(PathName,'jobs');
% Find out what subject to leave out based on the job ID
[a b] = unix('echo $SGE_TASK_ID');
Subject = st... |
function [I] = calcCurrent(connection,powerRating,voltage)
if strcmp(connection,"star")==1
I = powerRating ./ ( sqrt(3) .* voltage );
else
I = (powerRating) ./ (3 .* voltage );
end
end
|
function varargout = GUI_VSMP2O(varargin)
gui_Singleton = 1;
gui_State = struct('gui_Name', mfilename, ...
'gui_Singleton', gui_Singleton, ...
'gui_OpeningFcn', @GUI_VSMP2O_OpeningFcn, ...
'gui_OutputFcn', @GUI_VSMP2O_OutputFcn, ...
'... |
function q = Collate_into_sequence_proc_(p, env)
% Collate_into_sequence_proc: creates a chan-mag sequence from an FTM.
%
% function q = Collate_into_sequence_proc(p, env)
%
% Inputs:
% env: Envelope FTM.
% p: Parameter struct, with the following fields:
% p.num_bands: Number o... |
function [q, dq, ddq, t] = quinticSpline(y, dy, ddy, x, dt)
% generates a sequence of quintic splines based on via points. it does so
% by using the Vandermonde matrix to generate the spline polynomial
% coefficients, then use polyval to fill in the spline
% y(viapoints, dof) - this determines the key poses that th... |
% surfaceArea.m
% v1 Authored by Adam Rauff & Chelsea Heveran
% Measures surface area (SA) of each segmented lacunae, and
% best fit ellipsoid
% Part 1
% SA of ellipsoid
% Oblateness of ellipsoid: 2((b-a)/(c-a)) - 1, where radii a, b, c are radii in
% increasing order. Oblateness is calculated from ellipsoidal and... |
function testlabel3d_turbo(Pfile, Npairs)
% function testlabel3d_turbo(Pfile, Npairs)
!rm *.nii
%sprec1_3d(Pfile,'m');
%sprec1_3d(Pfile,'h','N');
sprec1_3d(Pfile,'N', 'n',64,'fx','fy','l');
vols = dir('vol*.nii');
volname = vols(1).name;
hdr = read_hdr(volname);
aslsub(volname(1:end-4), Npairs, 1, hdr.tdim, 0, 1... |
clear all, close all, clc
wattmeter = tcpip('0.0.0.0', 11500, 'NetworkRole', 'server');
% Open a connection. This will not return until a connection is received.
fopen(wattmeter); %% REMEMBER TO CLOSE THIS CONNECTION LATER
format compact;
%%
limit = 100; %take reading of 100 values
while true
voltage = zer... |
function th = th
% global define
% horizonal angle of camera (deg)
th = 94.4/180*pi;
end
|
% This file is used to compare the performance of gradient descent
close all;
clear all;
% load the path first
addpath('./solvers/');
addpath('tensor_toolbox/');
addpath('tensor_toolbox/met/');
load('tensor_0_7.mat');
U = rand(10,3);
V = rand(4,3);
W = rand(3,3);
t = tensor(reconstruct(U, V, W));
m = size(t, 1);
n... |
function new_col = skip(img, row, col, MAX_COLUMN)
% this function skips the part of the row that is defined to be inside
% a shape
% it returns the first column number outside a shape
good_value = 0;
while (good_value ~= 1) && (col < MAX_COLUMN)
col = col+ 1;
if img(row, col) == -1... |
classdef MipTests < matlab.unittest.TestCase
properties
foo;
quux;
end
methods (Test)
function testParseToWorkspace(obj)
parser = MipInputParser();
parser.addRequired('foo', @isnumeric);
parser.addParameter('quux', '4', @ischar);... |
function res_sub_tjc = resample_sub_tjcs(save_dir,tjc_pro,inds_sub_tjcs,varargin)
if ~exist(save_dir,'file')
mkdir(save_dir);
end
if save_dir(end)~='\' && save_dir(end)~='/'
save_dir = [save_dir '/'];
end
% clear;
% close all;
% load('tjc_pro.mat','tjc_pro');
% load('sub_tjc.mat', 'sub_tjc');
% img_bg = imread('ba... |
% Utilities to operate on the GUI
%
% Author : Jonathan EDEN
% Created : 2016
% Description :
classdef GUIOperations
methods (Static)
% childNodes is a java type and hence is a handle class (no need to
% return the childNodes again)
function settings = GetSettings(str)
... |
% Run full optimizer suite from draft of frame
m=107; n=44;
numSims = 10;
TargetTS = 1200; % Aim low b/c the simulation shoots high
% Global parameters for genetic algorithms
maxChange = 3;
globalI = 15;
globalG = 75;
globalS = 5;
% Storage vars
RatioStorageGeom = zeros(1,numSims);
RatioStorageWeight = zeros(1,numSi... |
function [uout, tout] = spin3()
%SPIN Solve a (t,x,y,z)-PDE with periodicity in space, using a Fourier spectral
%method for x, y and z, and an exponential time-diffenrencing scheme for t.
% Author: Hadrien Montanelli.
%% Set-up:
pref = spinpref;
tspan = [0 .2];
dom = [0 100];
dom3 = [0 100 0 100 0 100];
N = 40;
d... |
function [newDB] = readColumbiaDir()
BDfolder = char(strcat(pwd, {'\BD2\'}));
folders = dir(BDfolder);
folders(3) = [];folders(2) = [];folders(1) = [];
for i = 1:length(folders)
idir = folders(i);
dirname = horzcat(idir(i).folder,'\',idir(i).name);
d = dir(dirname);
... |
clc; clear all;
y = zeros(3,1);
y(1) = 5;
y(2) = deg2rad(5);
y(3) = 100;
[T,Y] = ode45(@Velocity, [0:0.1:60], y);
figure(1)
plot(T, Y(:,1));
figure(2);
plot(T, rad2deg(Y(:,2)));
figure(3);
plot(T, Y(:,3)) |
function syslog(log_statement, varargin)
formatOut = 'mm/dd/yy HH:MM';
timestamp = datestr(now,formatOut);
warning('off','all')
timestamp = datetime(timestamp,'TimeZone','EST');
warning('on','all')
timestamp = char(timestamp);
if not(isempty(varargin))
log_type = varargin{1};
if isnumeric(log_type)
log... |
x=0:0.1:4;
f=8-4.5.*(x-sin(x));
y=0.*x;
plot(x,f)
hold on
plot(x,y)
hold off
Fx=@(x) 8-4.5*(x-sin(x));
a=2;b=3;
imax=20;
tole=0.001;
if Fx(a)*Fx(b)>0
disp('Error:The function has the same sign at points a and b');
else
disp('iteration a b (xNS) Solution f(xNS) Tolerance');
for i=1:imax
... |
%% SENSITIVITY: COMPARISON OF SAMPLING- VS. PCE- and LRA-BASED SOBOL' INDICES
% In this example, Sobol' sensitivity indices for the Borehole function
% (as described in http://www.sfu.ca/~ssurjano/borehole.html) will be
% calculated with standard sampling, as well as with Polynomial Chaos
% Expansion (PCE) and Low-Rank... |
%% Parse Data
clear all
close all
clc
%
% fileID = fopen('final_flight_data.txt');
% data_matrix = [];
% for i =1:1
% C_temp = fgets(fileID);
% end
%
% i = 1;
% while ~feof(fileID)
% data_temp = strsplit(fgets(fileID),',');
% if isempty(strfind(data_temp{1},'ERROR')) && isempty(strfind(data_temp{1},'Start... |
function [total_dist]=cross_distance(view1,N1,view2,N2,nv)
total_dist = 0;
for i=1:N1
second_view_total = 0;
for j=1:N2
Frob_dist=0;
for k=1:nv
Frob_dist = Frob_dist + norm(view1{k}(:,:,i)-view2{k}(:,:,j),'fro');
end
second_view_total = second_view_total + Frob_dist/... |
clear
load('Sentences_48828.mat')
fc = 75;
lpf = fir1(round(4/fc * fs),fc/(fs/2));
figure,
plot(lpf)
for j=1:length(sentences)
x = hilbert(sentences{j});
x = filtfilt(lpf,1,abs(x));
envs{j} = x;
envs_4096{j} = resample(x,4096,fs);
end
t = 0:1/fs:length(envs{1})/fs-1/fs;
t2 = 0:1/4096:length(envs_4096... |
function [pathstr] = get_project_path()
pathstr = mfilename('fullpath');
[pathstr, ~, ~] = fileparts([pathstr, '.m']);
[pathstr, ~, ~] = fileparts([pathstr, '.m']);
end
|
function [path] = dijkstra(n, netCostMatrix,c_link, single_flow, s, d, wdm_order, tdm_order, token_matrix, small_br)
% path: the list of nodes in the path from source to destination;
% totalCost: the total cost of the path; equals to inf if there is no path
% farthestNode: the farthest node to reach for each node aft... |
% DEMO_CA_phantom
clc;clear;
load CA_phantom.mat
%
VX_WBDFS=cell(size(VX_FILTERED,1),1);
VY_WBDFS=cell(size(VX_FILTERED,1),1);
VZ_WBDFS=cell(size(VX_FILTERED,1),1);
for timestep = 1:length(VX_FILTERED)
tic
vx=cell2mat(VX_FILTERED(timestep));vy=cell2mat(VY_FILTERED(timestep));vz=cell2mat(VZ_FILTERED(timeste... |
disp('hello world');
disp('tolles neues feature #1');
disp('so, jetzt ist der bug behoben')
disp('releasešnderungen in letzter minute beim testen' |
function [ otazka_aj, odpoved1_aj, odpoved2_aj, odpoved3_aj, vysledek_aj ] = generovani_mod_otazek( vstup_aj )
%Funkce generovani_mod_otazek
%Funkce má jeden vekter na vstupu, který určuje, že funkce proběhne
%A pět vektorů na výstupu, ve kterém bude uložena otázka typu 'char' + tři
%odpovědi také typu 'char' + kt... |
function xi = f_powell_search(optfun,p,varargin)
%[f_powell_search] searches using Powell's method.
%
% Usage:
% xi = f_powell_search(optfun,p,varargin)
%
% Input:
% optfun -
% Cost function for optimization
% p -
% Searching parameter
% varargin -
% {1} img_ref, reference image,... |
function itemValue = verifyPreference(groupTag,itemTag,defaultValue)
% verifyPreference
% checks preference for group and item
% groupTag: group parameter char/string for ispref/getpref
% itemTag: pref item char/string for ispref/getpref
% defaultValue: default if is not a pref or if not a folder
% Hope Queener:... |
% Sweep over 100 values
lambdas = logspace(6, -2, 100);
[A,B,W,Q,R,K_mask] = problem_wac(casename);
% Start from LQR with one FISTA step
K0 = -lqr(A,B,Q,R);
clear fparams;
fparams.max_iters = 1;
fparams.verbose = 1;
fparams.max_eig_limit = -1e-1;
fparams.beta = 0.5;
fparams.sigma = 1e-4;
fparams.tol = 1e-5;
fparams.m... |
function res = opdracht_5_versie_1_CHECK(apStudentSol)
%%========== PLACE SOLUTION IN COMMENTS HERE
% % % % % % % % % % close all
% % % % % % % % % % phi = 30*pi/180:1*pi/180:pi;
% % % % % % % % % % % lengte onderbeen:
% % % % % % % % % % L1 = 0.4;
% % % % % % % % % % % lengte bovenbeen:
% % % % % % % % % % L2 = 0.5... |
%% Checks whether or not contingency matches reduced state matrix modes
% contignum = the contingency to simulate
% noise = white noise amount (input as percentage the max amplitude)
% window = percentage of full view into power network
% implemented by randomly removing subset of voltage readings
i = 1;... |
function [T, timestamp] = GetMarkerPositions(jTcpObj)
jtcp('write',jTcpObj,int8(['GetMarkerPosition']));
pause(0.05)
mssg = char(jtcp('read',jTcpObj)); %disp(mssg)
mssgSplit = strsplit(mssg,' ');
mssgSplitD = str2double(mssgSplit);
mssgSplitD2=mssgSplitD(~isnan(mssgSplitD));
T = reshape(mssgSplitD2(3:end),... |
function newImage = border(Image, scaleFactor)
height = size(Image,1);
width = size(Image,2);
Image(1:round(height*scaleFactor),:,:) = 0; % Top border is zeroed
Image(height-round(height*scaleFactor*6):height,:,:) = 0; % Bottom border is zeroed
Image(:,1:round(width*scaleFactor),:) = 0; % Left border i... |
%%
% Calculates whether fly is backing up
%
function out = fcnBacking( tA, tAIX)
smoothSamples = 5;
velThresh = -.5;
forwardVel = fcnForwardVel( tA, tAIX);
for traceN = 1:size(forwardVel,1)
forwardVel(traceN, :) = smooth(forwardVel(traceN,:), smoothSamples);
end
out = (for... |
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