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function [results]=AMIGO_OED(input_file,run_ident,opt_solver);
% AMIGO_OED: performs optimal experimental design
%
%******************************************************************************
% AMIGO2: dynamic modeling, optimization and control of biological systems %
% Code development: Eva Balsa-Canto ... |
function [v,w]=FHN2d(time);
% solves 2D FHN eqns. with periodic boundary conditions using Euler method.
%FHN looks like: dv/dt=-w-v*(v-a)*(v-1)+D*(d^2/dx^2)v+I
% dw/dt=e*(b*v-g*w-d)
% time is length of time
dx=0.02; % space step (cm), a myocyte is about 200 microns
dt=0.1; % time step (ms)
% NB:... |
function removeDefaultAcls(obj, dirPath)
% REMOVEDEFAULTACLS Removes all default ACL entries from a directory
%
% Example:
% dlClient.removeDefaultAcls('/my/directory/path')
%
% Copyright 2018 The MathWorks, Inc.
import com.microsoft.azure.datalake.store.ADLStoreClient;
% Create a logger object
logObj = Logger.get... |
function [path] = shortestpath(G, s, t, varargin)
path = constructPath(pred, targ);
if ~isnumeric(s) && ~isnumeric(t)
path = G.NodeProperties.Name(path).';
end
function p = constructPath(pred, t)
p = [];
tnext = c(t);
if ~isnan(tnext)
while tnext ~= 0
p(end+1) = t;
t = tnext;
... |
tic;
clc;
clear all;
close all;
S = [0.5045 - 0.0217i, 0.6874 + 0.0171i, 0.3632 + 0.1789i, 0.3483 + 0.1385i, 0.2606 - 0.0675i, 0.2407 + 0.1517i];
S_real = real(S);
S_mag = abs(S);
N = 6;
g = [1,0; 0.866,0.5; 0.5,0.866; 0,1; -0.5,0.866; -0.866,0.5];
b0 = 0.1;
[D,D11_array,D12_array,D21_array,D22_ar... |
type = 'forefinger';
session = 1;
basedir1 = 'data/subject';
out_dir1 = 'feature/subject';
downsample_factor = 0.1980/0.4235; %for getting [70x100] depth map for matching
basedir2 = ['/session' num2str(session) '/' type '/set'];
for subjectID = 1:2
for setID = 1:2
disp([num2str(subjectID) ',' num2st... |
function [] = chi_main_proc(basedir, rfid, pflag, varargin)
%% [] = chi_main_proc(basedir, rfid, pflag, [Dtime])
% This function drives the main chi processing
% of a single raw-files based on the given flags
%
% INPUT
% basedir : unit directory
% rfid : raw-file name
% pflag : ch... |
function handles=CC_calc_properties(varargin)
handles=varargin{1};
selected_cluster=varargin{2};
spikeData=handles.spikeData;
spikeMatrix=handles.spikeMatrix;
ClusterAllocation=handles.ClusterAllocation;
parameters=handles.parameters;
T=spikeMatrix(:,2);
sel=ClusterAllocation==selected_cluster;
handles... |
TT = timetable(date,subtax);
TT2 = retime(TT,'quarterly','mean');
TT3 = timetable(date,subtax);
TT4 = retime(TT,'yearly','mean');
UU = timetable(date,subtax);
UU2 = retime(TT,'quarterly','min');
UU3 = timetable(date,subtax);
UU4 = retime(TT,'yearly','min');
subplot(2,2,1)
bar(quarterly_date,quarterly... |
function genHeatMaps(cellList, anaList, outputFolder, varargin)
%% Parse input.
p = inputParser;
p.addRequired('cellList',@(x) (ischar(x) && length(x)==6) || iscell(cellList));
p.addRequired('anaList',@(x) ischar(x) || iscell(cellList));
p.addRequired('outputFolder',@(x) ischar(x));
p.addParameter('VoxelSize',[15... |
function bvhResults(dataSet, experimentNo)
% BVHRESULTS Model Demonstration of modelling of BVH files.
[bvhStruct, Y, frameLength, velocityIndices] = bvhLoadData(dataSet);
bvhResultsDynamic(dataSet, experimentNo, 'bvh', bvhStruct, velocityIndices)
|
function ANA=sml_subj(subjname,fig,block,trial)
if nargin<2
fig=0;
end;
datafilename = ['data/sml1_' subjname '.dat'];
outfilename = ['analyze/sml1_' subjname '.mat'];
ANA=[];
D=dload(datafilename);
if (nargin<3)
s=1;
else
if (nargin<4)
s=find(D.BN==block & D.TN==1);
else
s=find(D.B... |
% called by unifySignalsAll
function maxEnergyIndex = printSignalEnergyPerAxis(name, signal, lbl)
name
lbl
energyX = sum(signal(:,1).^2);
energyY = sum(signal(:,2).^2);
energyZ = sum(signal(:,3).^2);
energyVec = [energyX energyY energyZ];
maxEnergyIndex = find(energyVec == max(energyVec));
fid = fopen('energyPer... |
function [inputSignals, inputBus, t_end] = PowerSplitHEV_DirectInput_inputs(nvpairs)
%% Input Signals for Power-Split HEV Model with Direct Input
% Copyright 2020-2021 The MathWorks, Inc.
arguments
nvpairs.InputPattern (1,1) {mustBeMember(nvpairs.InputPattern, {...
'all_zero' ...
'power_split_drive' ...... |
classdef DataRepository < handle
properties(Constant)
end
properties
sequences;
csv_suffix;
end
methods
function obj = DataRepository(csv_suffix)
obj.sequences = {};
%obj.LK_CONFIG_NAME =... |
function [Wfd, beta, Fstr, iternum, iterhist] = ...
smooth_monotone(x, y, wt, Wfd, zmat, Lfd, lambda, ...
conv, iterlim, active, dbglev)
%SMOOTH_MONOTONE smooths the relationship of Y to X by fitting
% a monotone function of the form
% f(x) = b_0 + b_1 D^{-1} e... |
function [ edgList ] = remove_edges( input_edgList, edges )
edgList = input_edgList;
for i = 1:size(edges,1)
edge = edges(i,:);
remove = [edge; flip(edge)];
edgList = setdiff(edgList, remove, 'rows');
end
end
|
function [epsilon_stats,epsilons] = drawTrajs(trajs,N,randOn, smoothOn, ...
colorscheme,minGap)
figure();
epsilons=0:30:150;
epsilon_stats=zeros(1,length(epsilons));
if nargin < 6
minGap = 30000;
if nargin < 5
colorscheme = 'uniform';
if nargin < 4
smoot... |
function granger_2D_baseplus_stats_only(g1,g1_f,labelconditions,freqrange,eq_range)
allscreen()
labelconditions=labelconditions([1 4]);
F= [1 2; 1 3; 2 3] ;
lab=cell(6,1);
lab{1}='HPC -> Parietal';
lab{2}='Parietal -> HPC';
%lab{3}='Parietal -> HPC vs HPC -> Parietal';
lab{3}='HPC -> PFC';
lab{4}='PFC -> HPC';
%lab{... |
function C = comm(A,B)
% commutator of two matrices
C = A*B - B*A;
end |
function [ data ] = Matrice_Information(baseApp,n)
%UNTITLED2 此处显示有关此函数的摘要
% 此处显示详细说明
for i = 1:5
data(i,:) = baseApp{i}(n,:);
end
end
|
function buildRecognitionSystem()
% Creates vision.mat. Generates training features for all of the training images.
load('dictionary.mat');
load('../data/traintest.mat');
% TODO create train_features
save('vision.mat', 'filterBank', 'dictionary', 'train_features', 'train_labels');
end |
% closedLoop.m
% Constants
global ts;
center = 0;
% Format: {time, visStim}
% [Mode, K0, K1, K2]
visStim0 = [1, 0, 0, center];
visStimN = [1, 0, -6, 0];
%visStimN = [2, 90,3,0,0,-3,0];
LaserOn = '0000';
LaserOff = '0000';
olf1 = '0000';
olf2 = '0000';
histogramBounds = [1,120];
trialStructureList = [..... |
%Ag: antígenos
%N: número de dados de entrada (antígenos)
%dim: dimensão dos dados
%Ab: anticorpos
%r: raio mínimo
%E: raio que define a vizinhança para o cálculo da densidade local
%R: vetor com o raio de cada anticorpo
%μ: taxa de mutação
%decaimento: constante de decaimento da taxa de mutação
function Ab =... |
function func = steam_calculation_functions(varargin)
if ~isempty(varargin)
func.pressure_interpolator = @pressure_interpolator;
func.getSaturatedValues = @getSaturatedValues;
func.getSuperheatedValues = @getSuperheatedValues;
func.satliquid_update = @satliquid_update;
func.s... |
function [x, fx, X_sample, F_sample, result] = policySearchGeneralMDP(nr_arms, nr_balls)
work_dir=cd;
toolbox_dir=[work_dir,'/MatlabTools/'];
GPO_dir = [toolbox_dir,'/Gaussian_Optimization/'];
addpath(work_dir)
addpath(toolbox_dir)
addpath(genpath(GPO_dir))
% Direct Policy Search
ER_hat=@(w) evaluateGeneralMDP([w(:)],n... |
function [ q_prod ] = quat_mult( q1, q2 )
% QUAT_MULT Product of 2 quaternions (scalar on top)
% This function calculates q1 * q2
a = q1(1);
b = q1(2);
c = q1(3);
d = q1(4);
e = q2(1);
f = q2(2);
g = q2(3);
h = q2(4);
% From Wikipedia:
% http://en.wikipedia.org/wiki/Quater... |
% Messwerte einlesen
load Batteriesensor.mat;
% Berechnung der Konstante c2 über inverse t-Verteilung
% mit 9 Freiheitsgraden
c2 = tinv(1-1e-5,9);
% Berechnung der Prognoseintervalle nach Gleichung \eqref{eq:fivehundredfiftyfour}
ProgObenNeueShunts = mean(NeueShunts')' + ...
std(NeueShunts')'*... |
N = 5;
A = zeros(N,N);
numberOfMatrices = floor(N*log(N));
N = N + 1;
%Calculates average of NlnN matrices
outputMatrix = randomFill(A,N);
for n=1 : (numberOfMatrices - 1)
temp = randomFill(A,N);
outputMatrix = outputMatrix + temp;
end
outputMatrix = outputMatrix / numberOfMatrices;
%export matrix to excel f... |
function [model] = matLearn_kernel_Laplace(options)
% h will be the variance of the kernel, determines the amount of
% contribution of neighbouring points.
model.h = options.h;
model.predict = @predict;
end
function [w] = predict(model, z)
h = model.h;
w = (1/h) * exp(-abs(... |
load cities.mat
% categories: each row is a category
% names: each row is a city
% ratings: each row is a city, each col is a category
[n,d] = size(ratings);
scores = zeros(n,d);
for i = 1:d
cat = ratings(:,i);
score = (cat - mean(cat)) / std(cat);
outliers = find(score > 4);
% Show th... |
%% ========================================================================
% In practice, the histogram technique can be useful for obtaining a quick
% visualization of data in one or two dimensions but is unsuited to most
% density estimation applications.
% Two widely used nonparametric techniques for density... |
%transmit all float in cell into string
function r = num2str_cell(data)
idx = cellfun(@isfloat,data);
r(idx) = num2str(data);
end |
function [z, T2ML, phi, Dk, soe, soe_3s, soe_twm, soe_twm_3s,k_SDR_VC, t, S, CapH20, FreeH20, k_TC] = build_nmr_txt_file(name)
% convert raw data files to text files in format to be used by
% NMR_script_main
% read in data files
in1 = [pwd '\bstrp_dat_VC_raw\' name '\' name '_SE_decay' '.txt'];
in2 = [pwd '\bst... |
function [sol] = jmaDoL1(fname_fwd,lambda2,srcSpace,srcCor)
%
% An example on how to compute an L1-norm inverse solution
%
% fname_inv - Name of the inverse file
%
% lambda2 - The regularization factor. lambda^2 ~ 1/SNR (POWER!)
% ex. 10/1 Power SNR -> lambda2 = .1;
% ex. 10/1 Amplitude SN... |
function IterativeMethods()
filename = 'data.txt';
data = importdata(filename);
x = data(:,1);
z = data(:,2);
d = [z(:)];
G = [ones(length(x), 1) x(:) x(:).^2];
a = -2:0.05:2;
b = -2.0:0.05:2;
c = -1.0:0.05:1.0;
m_naught = [0 2.0 -0.5]';
[mx, my, mz] = sphere;
r... |
%-------------------------------------------------------------------------------------------
% make_amipFuture4K.m
%
% I ran into problems with this because it was written to be used with Matlab 2009.
% However, matlab 2009 does not read NetCDF 4 files, only NetCDF 3.
%
% This script opens a file with historical sst ... |
function [Qest] = estimateQMLE(Tr,k)
%estimateQMLE Estimate a transition matrix based on the count of
%transitions
% Qest = estimateQMLE(Tr) : if Tr is the count matrix of a markov chain,
% and k the number of node in the graph then Qest is the resulting
% estimated matrix
Qest = Tr ./ repmat(sum(Tr, 2), 1, ... |
clear all
close all
clc
folder = 'Test Images\';
files = dir(strcat(folder,'*.jpg'));
file_list = {files.name};
num = size(file_list, 2);
for i = 1:num
name = file_list{i};
idx = strfind(name,'.') - 1;
image = imread(strcat(folder,name));
lane_detection(image, strcat('Results\',name(1:idx)));
end |
function [ pre ] = readUItree( src,event,pre,tree )
%readUItree - get the values of the stuff within it...
% James S. McKenzie, Imperial College London, 2014.
% Don't touch these at all!
tree1 = tree.tree;
root = tree1.getPathForLocation(1,1);
node = root.getLastPathComponent;
% Number of children nodes
numN = node... |
%
% Define the global variables for the workspace and inizialize them with
% the size specified by problem_size. We need that info because model
% inference will found only observed transitions, and we cannot say
% anything about unobserved ones.
%
function startup_iter(problem_size, tol, min_ei, LB, UB, nBins, log_fil... |
function Korrespondenzen = punkt_korrespondenzen(I1,I2,Mpt1,Mpt2,varargin)
% In dieser Funktion sollen die extrahierten Merkmalspunkte aus einer
% Stereo-Aufnahme mittels NCC verglichen werden um Korrespondenzpunktpaare
% zu ermitteln.
%% Input parser
p = inputParser;
%zwei Grauwert-Bi... |
function [b y1 mw]=cwscale(y,par)
% b field [mT]
% mw GHz
opt.temp='';
% Ensure power scaling option
if isfield(opt,'power')==0; opt.power='n'; end
if isfield(par,'Gain')==1
Gain_dB=par.Gain(1:end-2); % dB
Gain_dB=str2num(Gain_dB); % dB
Gain=10^(Gain_dB/20); % number
els... |
function [list_of_image_names, image_classes, all_classes] = get_images_from_subdir(dir_name)
listing = dir(dir_name);
list_of_image_names = cell(1);
image_classes = cell(1);
all_classes = cell(1);
pic_count = 0;
class_count = 0;
for i = 1:numel(listing)
if or(or(strcmp(listing(i).name,'.'),strcmp(listing(i... |
function convmat = polyconv(c1, c2)
% POLYCONV computes products of polynomials defined by columns of
% coefficient matrices C1 and C2
% Last modified 3 April 2002
[ord1, n1] = size(c1);
[ord2, n2] = size(c2);
deg1 = ord1 - 1;
deg2 = ord2 - 1;
% if the degrees are not equal, pad out the smaller matrix with 0s
... |
function ydot = sys_model(t, y, p)
a = p(1); b = p(2); c = p(3); d = p(4); nu = p(5); omega = p(6);
x1dot = d*nu*y(1,1) + a*y(1,1)^3;
x2dot = omega + c*nu + b*y(1,1)^2;
ydot = [x1dot;x2dot];
end |
% Note that quaternions in Tsiotras are written as:
% q = (qVec, qScal)
% This has been handled here
function obj = matQuatMult(mat, quat)
obj = Quaternion;
[rows,cols] = size(mat);
if rows == 4 && cols == 4
M11 = mat(1:3, 1:3); % 3 by 3
M12 = mat(1:3, 4); % 3 by 1
M21 = mat(4, 1:... |
%
% Dados da camera
alpha=75*pi/180;
% Dados da geometria
S0=0.20;
S1=0.20;
S2=0.20;
save('data.dat','alpha','S0','S1','S2')
|
function strOut = VigenereDeCrypt(STR,keystr)
% strOut = VigenereDeCrypt(STR,keystr)
% Inputs: STR = a string of upper-case text (alphabet: A, B, ..., Z)
% keystr = a string of lower case text (alphabet: a, b, ..., z)
% Output: s = a string of corresponding lower-Case plaintext(alphabet: a,b, ..., z)
% resultin... |
function y = ball_strike_single_unit_stats_single_session_downsample(session, green_or_cyan)
% Add the current path
addpath('./')
% Set some parameters
num_reps = 10;
percentiles = [80,85,90,95];
% Set some defaults
desired_block_number = 1;
get_single_flash_responses = 1;
calculate_choice_proba... |
function unwrappedPhase = my_unwrap(phase)
k = 0; % initialize k to 0
unwrappedPhase = phase;
diff = phase(2:end) - phase(1:end-1);
for i = 1:(size(phase)-1)
unwrappedPhase(i,:) = phase(i) + 2*pi*k; % add 2*pi*k to unwrapped phase
if diff(i) >= pi % if the phase difference > +pi, k... |
function [r, dr] = ComputeCorrelationBasis(point, neighs, sd_rad, options)
%% ComputeCorrelationBasis
% Use: Computes the correlation basis and its gradient for the Moving Kriging Interpolation.
%
% Syntax: [r, dr] = ComputeCorrelationBasis(point, neighs, sd_rad, options)
%
% Input:
% point - The coordinates of t... |
function [outputArg1,outputArg2] = ReceiveCallback(obj,event)
% callback function of serial port
% 此处显示详细说明
global s fid;
out = fread(s,1024,'uint8');%读取数据
fprintf('%X ',out); %一个字符占三位输出,%c字符，%d整型
fprintf('\n');
fprintf(fid,'%X ',out); % 写入文件中
fprintf(fid,'\n');
end
|
function initStim
global stiPar scr
stiPar.gaborstd = .8;
stiPar.gaborf = 1.5;
stiPar.apersiz = 2.1;
stiPar.gaborsiz = 1.9;
stiPar.gaborpsiz = angle2pix(scr,stiPar.apersiz);
stiPar.gaborangle = [0 90];
stiPar.sinsiz = .8;
stiPar.gaborPosition = [scr.center(1)-angle2pix(scr,10) scr... |
function u = sol_heat_eq(a, l, X, phi, N, t1, x_sz, t_sz)
x = linspace(0, l, x_sz);
X_val = zeros(length(x), N + 1);
for i = 1:(N + 1)
X_val(:, i) = X(x, i - 1)';
end
nrm = trapz(x, X_val .^ 2);
idx = find(nrm < 0.000001);
nrm(idx) = ones(size(idx));
A = trapz(x, X_val .* repmat(... |
classdef dc < qes.waveform.waveform
% dc
% Copyright 2015 Yulin Wu, Institute of Physics, Chinese Academy of Sciences
% mail4ywu@gmail.com/mail4ywu@icloud.com
methods
function obj = dc(length,level)
obj.jWaveform = com.qos.waveform.DC(length, level);
end
end
end |
%**************************************************************************
% GCV denoising
%**************************************************************************
%
% [USAGE]
% [dn] = gcvThresh(data,opt)
%
% [INPUTS]
% data: a structure including the information of input data
% opt: ... |
%% THIS FUNCTION WILL PLOT BARS WITH ERRORBARS AND ADD SIGNIFICANCE ASTERISKS
% above the bars.
function [p_values handles] = errorplot(matrix,txt_legend,legendstyle)
% Get means, errors and perform ttests.
ind = 1:size(matrix,2);
m = mean(matrix);
e = ste(matrix);
[h1 p_values] = ttest(... |
%HessEigQR: Compute all eigenvalues of a matrix using the QR algorithm
% and deflation. The matrix is first reduced to Hessenberg form and the
% QR step is implemented using Givens rotations.
%
% Usage:
% >> D=HessEigQR(A);
%
% Note that this code only works if all the eigenvalues of the matrix are
% real. For a genra... |
function [h1, h2] = umts_ddc_filter_conf1(Quantize, Nfft, ShowPlots)
if (nargin<3)
ShowPlots = 0;
end
if (nargin<2)
Nfft = 32768;
end
Fs = 61.44;
% First Decimation Filter
Hd = ddc_conf1_h1;
h1 = Hd.Numerator;
H1 = 20*log10(eps + abs(fftshift(fft(h1, Nfft))));
if Quantize
h1 = xquantize(h1, 18)/2^17;
... |
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pe care le-ai lasat in cos la www.shop-usa.ro
Discountul il poti revendica folosind codul promo:
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Codul este valabil 24 de ore.
Pentru a beneficia de discount, nu uita sa adaugi codul
in campul "Cod Promotie" in pagina... |
function matnum = splitMatTrades(path2data, outdir, nrecords, matnum, opt)
% SPLITMATTRADES Splits mat files by number of records
%
% SPLITMATTRADES(PATH2DATA, [OUTDIR], [NRECORDS], [MATNUM], [OPT])
% - PATH2DATA directory where .mat and .idx files to split are
% - OUTDIR defaults to PATH2DATA if unspecif... |
function inCurvs_mod = group6(inCurvs)
% group6.m - Rotate all angles to be from 0 to 180 deg (curvelets have no
% direction, so we just need 0 to 180, not 0 to 360)
% Inputs
% inCurvs = list of curvelet centers and angles
%
% Optional Inputs
%
% Outputs
% inCurvs_mod = modified list of curvelet angles
%
% By Je... |
function [ang,unitary] = rotMat2Eaa(R)
%function [ang,axis] = rotMat2Eaa(R)
% That given a rotation matrix returns its respective euler principal column axis and angle in radians.
I = eye(3);
t = trace(R);
ang = acosd((t-1)*0.5);
if ang == 0 %If angle equals 0 axis is not moving, so axis = [0, 0, 0]
axis = [0 0 0... |
% Definition der Funktion idcalc zur Berechnung des Diodenstroms als Funktion
% von Parametern
function [id] = Idcalc(beta,u);
% Auflösen des Parametervektors beta
iscalc = beta(1));
utcalc = beta(2);
ncalc = beta(3));
% Berechnung des Diodenstroms
id = iscalc*(exp(u/ncalc/utcalc)-1)*1000; |
%Método Iterativo de Muller:
clear
clc
format long
%-----------------------------------------
x0 = 2.; tol=1e-15;
x=fMuller(x0,tol) |
function [ ] = loadSimulation( )
%LOADSIMULATION Summary of this function goes here
% Detailed explanation goes here
delete('monitoring.txt');
delete('dataset.dat');
delete('indicators.dat');
DCConfiguration2vm();
for l = 1:20
for i = 1:5
assessment([l,5]);
end
end
for l = 1:20
for i = 1:5
... |
% set up the environmental pathing
addpath(genpath('../InverseOC/'));
addpath(genpath('Common/'));
addpath(genpath('../Common/'));
addpath(genpath('../Utils/'));
addpath(genpath('../Logic/'));
addpath(genpath('../Libraries/Robotics_Corke/'));
addpath(genpath('../Libraries/rl'));
addpath(genpath('../Libraries/brewerm... |
function [v] = mgpcg(f, mask, vsz, tol, maxit, mgopts, verbose)
%MGPCG Multigrid preconditioned conjugate gradient for Poisson's equation
% with homogenous Dirichlet BCs.
%
% -Delta u = f, for x in mask
% u(~mask) = 0
%
% [v] = MGPCG(f, mask, vsz, [tol], [maxit], ... |
function [xDes,u,t] = ptPathGenerator(simTime)
% clear all; close all; clc;
lW = 1.1;
fS = 15;
x0 = [0;0;0];
delT = 0.01;
% simTime = 15;
T = simTime / delT;
t = 0:delT:simTime;
t1 = 0:delT:15-delT;
t2 = 15:delT:simTime-delT;
u1 = [10 + 0 * t1 ; 0.4 * sin( pi / 7.5 * t1 )];
u2 = [10 + 0 * t2 ; - 0.4 * sin( pi / 7.5 *... |
function rmse_vals = calc_rmse(rmse_fct, feature_win, feature_recon, param)
rmse_vals.q = rmse_fct(feature_win.q, feature_recon.q, param.win_length);
rmse_vals.dq = rmse_fct(feature_win.dq, feature_recon.dq, param.win_length);
rmse_vals.ddq = rmse_fct(feature_win.ddq, feature_recon.ddq, param.win_leng... |
function al_sleepInstructions(taskParam)
%AL_SLEEPINSTRUCTIONS This function runs the instructions for the
% "sleep" version of the cannon task
%
% Input
% taskParam: Task-parameter-object instance
%
% Output
% ~
% Extract test day and cBal variables
testDay = taskParam.subject.testDay;
cBal = taskPara... |
function [ Final ] = SML( ML, N, img )
N = floor(N/2);
MML = padarray(ML,[N,N,0]);
Final=zeros(size(ML));
for i = 1:100
for l = 1: size(img,1)
for m = 1:size(img,2)
a=N+l;b=N+m;
sum = 0;
for p = a-N:a+N
for q = b-N:b+N
... |
% rerun_grey_listed
% program to rerun a grey listed float either after grey listing or after
% removal from the grey list.
%
% this requires the dbdat structure as well as the starting and
% ending profile numbers. It then goes and generates the right argos
% download to use and reprocesses all intervening profiles... |
function tracks = getDisplacement(tracks,tsamp)
%
% Calculate mean square displacements as a function of time-interval delta t.
%
% Created by Alex Robson.
% Commented and modified by Isabel October 2011.
% If you use this code please acknowledge Alex Robson and Isabel Llorente-Garcia in your
% publications.
%
%
% The... |
%% C: low amplitude rythmic behavior
wave = importSignal('trial_701 Tupaia Doughboy 9-27-2001 cricket');
figure
plot(wave(6900:10900), 'k');
set(gcf, 'Position', [100, 100, 1063, 797]);
imagewd = getframe(gcf);
imwrite(imagewd.cdata, 'figs/3C.tif', 'Resolution', 300);
%% B: orphan spikes
wave = importSignal('GA7-15-... |
function [] = label_trackstart(indir, outfile, keyframefile)
%--------------------------------------------------------------------------
%
% Copyright (c) 2014 Jeffrey Byrne
%
%--------------------------------------------------------------------------
%% Defaults
if ~exist('outfile','var') || isempty(outfile)
outfil... |
% Sample rate
Fs = 16000;
% Sin wave setting, one row [Freq, start time, end time] for one sin wave.
% both start and end time are in seconds
Sins = [500, 0, 1;
1000, 1, 2;
2000, 2, 3
3000, 3, 4];
tones = zeros(1, max(Sins(:,3)*Fs)+1);
for n=1: size(Sins, 1)
N = [0:(Sins(n,3)-Sins(n,2))*F... |
%% Polynomial Regression on 2D data
% Question 2(a)
clear; clc; close all;
%% importing data
data = importdata('./data/24_3.txt');
size(data)
x1 = data(:,1);
x2 = data(:,2);
x3 = data(:,3);
x4 = data(:,4);
x5 = data(:,5);
x6 = data(:,6);
x7 = data(:,7);
x8 = data(:,8);
y = d... |
% example_usage.m
%
% Code here shows an example usage of the visualization tools currently works on mac and linux!
%
% 2020
% Kevin Aquino <aquino.km@gmail.com>
%
% MATLAB path from freesurfer (you dont need freesurfer installed just the folder)
freesurfer_matlab=['/Applications/freesurfer/matlab/'];
filExist=whic... |
function [f, x, y] = kernelDensity2D(data, varargin)
%[f, x, y] = kernelDensity2D(data, x, y, nXPoints=25, nYPoints=25, sigma=1, weights)
%This function does a data smoothing using a gaussian kernel. It is
%similar to ksdensity except that it takes a 2D data vector instead of a
%1D.
%
%The first parameter is... |
pkg load symbolic
function resultado = predictor_corrector(str_funcion, a, b, n, x, y)
% Metodo Predictor-Corrector para aproximar la solucion de un problema de valor inicial
% :param str_funcion: string con la funcion que se debe evaluar
% :param a: Extremo inferior del intervalo
% :param b: Extremo ... |
function [bitnum,len]=DCHuffmanEncoding(sequence)
% the dc encoding in the text bool
temp=sequence;
tmpvalue=abs(sequence);
if (tmpvalue==0);amplitude=1;codelen=3;codenum=2;% codenum=010
elseif(tmpvalue==1);amplitude=1;codelen=3;codenum=3;% codenum=011
elseif(tmpvalue >= 2 && tmpvalue <= 3);amplitude= 2;c... |
load('twomoons_sk.mat')
n = length(fea);
% data normalization
feastd = std(fea);
feastd(feastd == 0) = 1; % some pixels are 0 in all images
fea = (fea - mean(fea)) ./ feastd;
% number of sets of samples
n_sets = 1000;
% number of samples in each set
n_samples = 20;
sigma = 0.2; % the sigma is important! default is 1
... |
%% MMSP2 - Lab 5
% Exercise 1 - DCT/KLT comparison
clear
close all
clc
%% 1) Load the image 'lena512color.tiff' and extract the luminance component
im = imread('lena512color.tiff');
R = double(im(:,:,1));
G = double(im(:,:,2));
B = double(im(:,:,3));
%luminance è CL dell'RGB attaverso una matrice di trasformazione... |
function split (trainX)
Xt=trainX(1:6000, :);
save('Xt.mat','Xt');
end |
function sgmga_aniso_normalize_test ( dim_num, level_weight )
%*****************************************************************************80
%
%% SGMGA_ANISO_NORMALIZE_TEST calls SGMGA_ANISO_NORMALIZE.
%
% Licensing:
%
% This code is distributed under the GNU LGPL license.
%
% Modified:
%
% 27 November 2009
... |
function [ P ] = ConvHomogen( PN1 )
%CONVHOMOGEN Summary of this function goes here
% Detailed explanation goes here
a=size(PN1);
P=[PN1' ones(a(2),1)]';
end
|
function [y,cons] = P1(x)
% Test function
if x <= 100
y = -exp(-(x/100).^2);
else
y = -exp(-1) + (x-100)*(x-102);
end
% constraints
cons=[];
|
%% pendulum_forced_A135_A144_A1465_poincare.m
% Purpose: a matlab script that solves the forced motion of a pendulum and
% plots only points where force and motion are in phase
%% define function & constants
function pendulum_forced_A135_A144_A1465_poincare
% initial condition
theta0 = 0.2; % theta0 = theta(0)
dtheta0... |
function MPIparams = setMPIParams(Physicsparams, rs)
MPIparams.Rs = rs; % slew rate vector [x,y,z] (T/s)
% gradients (T/m) (current scanner)
MPIparams.Gxx = 4.8;
MPIparams.Gyy = 2.4;
MPIparams.Gzz = 2.4;
MPIparams.Bp = 10e-3; % Drive field (T)
MPIparams.f_drive = 10e3; %... |
% encrypt('MUHAMADRIZKYFAJARFEBRIAN^_^Ditambahin_bEn_tAMBAh_PanjanG_daN_Angel','A1120171049225');
decrypt('STG`L`CQHYJXE`P`QEDAQH`MCHS`SA`GHMADMS`LA`NO`MI`MFC`M`MFKK','A1120171049225');
function v = vigenere
% Square 27 on a side
count = 58;
% Map letters to numbers, A=1, B=2, ... SPACE=27
a... |
% This code solves the model of Graham and Wright (2010, JME)
% Incomplete Information Version Using two equation system:
% c_{t} -E_{it} [c_{t+1} - (1-beta*(1-delta))*r_{kt+1}] = 0
% r_{kt} = (Pa(z)/Q(z))*a_t + (Pc(z)/Q(z))*c_t
% Solve for Equilibrium 1 where idiosyncratic consumption and capital features random wa... |
function [LineList] = CompleteRoadNetwork(LineList)
% find lines which have unconnected endpoint
endLines = LineList([LineList.nconn] == 1);
for i=1:size(endLines,2)
for j=1:size(LineList,2)
defl1(j) = 0;
defl2(j) = 0;
dist(j) =... |
clc
clear
imgPath = 'D:\电子科大上课课件\电子科大上课课件\综合课程设计\数字字母训练集\4\';
imgDir = dir([imgPath '*.jpg']); % 遍历所有jpg格式文件
k=1;
for i = 1:length(imgDir) % 遍历结构体就可以一一处理图片了
img = imread([imgPath imgDir(i).name]); %读取每张图片
im = imresize(img,[32 16]);
im1 = im2bw(im);
im2 = reshape(im1,512,1);
out = im2dou... |
function [ outImg ] = ICV_partition_images( inputIm , ws, idx, idy)
% Function: ICV_partition_images
% Input:
% inputIm: Input image
% ws: Window size
% idx, idy: specific window
% Output:
% outImg: Output image
size_im = size(inputIm);
outImg = zeros(ws, ws);
for i=1:ws:size_im(1)-w... |
function [T,S]=load_ts_metoffice(ncfile, GRDfile, StartDay, EndDay)
%
% LOAD_TS_metoffice: Loads T,S data from the UK Met Office datasets
%
% [T,S]=load_ts_metoffice(ncfile, GRDfile, StartDay, EndDay)
%
% This function loads temperature and salinity profile data from the UK Met
% Office Hadley Centre, quality contro... |
% 纯跟踪（Pure Pursuit）法
% 作者：Ally
% 日期：20210429
clc
clear
close all
load path.mat
%% 相关参数定义
RefPos = path;
targetSpeed = 10; % m/s
Kv = 0.1; % 前视距离系数
Kp = 0.8; % 速度P控制器系数
Ld0 = 2; % Ld0是预瞄距离的下限值
dt = 0.1; % 时间间隔，单位：s
L = 2.9; % 车辆轴距，单位：m
% 计算参考航向角
... |
function [dist1, dist2] = dist_orig_match(cdata, cand_matchlist)
view1 = cdata.view(1, 1);
view2 = cdata.view(1, 2);
matches = cand_matchlist;
pts1 = view1.feat(matches(:,1), 1:2);
pts2 = view2.feat(matches(:,2), 1:2);
n1 = size(pts1,1);
n2 = size(pts2,1);
dist1 = zeros(n1,n1);
dist2 = zeros(n2,n2);... |
classdef EmFitEng < FitEng
% Abstract EM Fitting Engine
properties
diagnostics;
verbose = true;
end
properties(Access = 'protected')
nrestarts;
convTol;
maxIter;
end
methods(Access = 'protected', Abstract = true)
... |
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