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classdef Crop < dagnn.ElementWise
%CROP DagNN cropping layer.
% This is a pecurial layer from FCN. It crops inputs{1} to
% match the size of inputs{2} (starting with a base crop amount).
% A future version
properties
crop = [0 0]
end
properties (Transient)
inputSizes = {}
end
methods
f... |
function [ tracks ] = network_connections( wwlln, apdata, nlegs )
%NETWORK_CONNECTIONS returns the great circle paths connecting strokes to
% their locating stations.
%
% Written by: Michael Hutchins
%% Initialize tracks and load station data
tracks = [NaN, NaN];
stations
switch nargin
case 2
nlegs = 10;% ... |
% The following code is testing the a04ex02getPDE for different
% approximations for u' on the example from Assignment 3 Ex. 4
N = 100; % set the number steps
h = 1.0./(N-1);
xh = linspace(0,1,N)';
consts = [1, -4, 1, 1, 2];
f = @(x) -3. * x.^3 + 40 * x.^2 -14 * x - 7;
[Lh,fh] = a04ex02getPDE(xh,f,consts,'0');
u =... |
function CalcSSRT_autotest()
% CALCSSRT_AUTOTEST - correct SSRTs obtained using QuantileMethodSSRT.m on a
% set of GoRT, SSD-homogeneous datasets with NaNs for some values
for goRT = 0.50:0.10:0.200
for ssd = 0.10:0.10:0.40
go_GoRT_sparse = goRT*ones([3 3 8]);
go_GoRT_sparse(:, :, 7) = 30;
... |
%% Projection of device eigenfunctions onto lead modes
Chi=zeros(nl_t,n_alpha);
for n=1:n_alpha
for m=1:nl_1
Psi_p=zeros(1,nl_1);
for i=1:nl_1
Psi_p(i)=Psi_c(c_table(i,1),n);
end;
Chi(m,n)=sum(Psi_p(:).*Xi_1(:,m));
end;
end;
for n=1:n_alpha
for m=1:nl_2
P... |
function vidsToFeats(retrieveHandImagesFrom, toFolder)
signFolds = getFolderList(retrieveHandImagesFrom, false, false);
signFolds = sortFolderNames(signFolds, '');
foldCnt = length(signFolds);
for sID=1:foldCnt
%different signs
videoFolds = getFolderList([retrieveHandImagesFrom filesep s... |
function [x,xr,x0] = SE2P_Laplace_fftnd(x,opt)
%SE2P_LAPLACE_FFTND 3-dimensional discrete Fourier Transform.
% [x,xr,x0] = SE2P_Laplace_fftnd(x,opt)
% Returns the 3-dimensional DFT of the 3D array x with two periodic
% directions and one free direction, in the arrays x, xr and
% x0. The output xr conta... |
% The information decomposition of the transfer entropy from two neighboring spins to a target
% spin is evaluated according to the approach described
% in Bertschinger et al., Entropy 16(4), pp. 2161-2183, 2014.
%As an example, the file G6spin_256_0.mat cointans the probability distribution of six
%spins, arrange... |
function [K,f,a,error] = ej1_cp(M,L)
% ------------------------------------------------
% aproximacion de 1 + sin(pi*x/2) usando residuos ponderados, con
% colocacion puntual
% ------------------------------------------------
% genera los puntos donde se evaluara el error
x=linspace(0,L,(M... |
function param = Parameters_spm(init_cell_soc_percent) % Cell SOC [%] to begin simulation with
param.A = 2.05268559698939; % m^2; overall active surface area
% param.I_1C = 60; % Amps (1C current of the cell, i.e. cell capacity in disguise)
%% Solid particle radius [m]
param.R_n = 2e-6;
param.R_p = 2e-6;
%% Soli... |
function [dXdt,u,F] = dyn_aerial(t,X,p)
params = p.params;
Kp = p.Kp_sw; % proportional gain
Kd = p.Kd_sw; % derivative gain
Krh = p.Krh; % constant for raibert hopper
M_r = p.M_r;
B_EMF = p.B_EMF;
if ~p.isMotorDynamics % if not adding motor dynamics
M_r = 0*M_r;
... |
%set up given vectors
v1 = [3; 7; 0; 0];
v2 = [2; 5; 0; 0];
v3 = [1; 2; 9; 11];
v4 = [2; 5; 4; 5];
P = [v1 v2 v3 v4];
w1 = [1; 3; 4];
w2 = [-1; 0; 3];
w3 = [0; 5; 2];
w4 = [-2; -3; 1];
Q = [w1 w2 w3 w4];
%compute standard matrix
A = Q*inv(P) |
function load_modules()
global params
r = global_jess_engine();
r.eval(['(bind ?mod_clp_file "' char(params.module_definition_clp) '")']);
r.eval('(batch ?mod_clp_file)');
end |
function PEGSimMain(SNfile,PEfile,Pctrlrfile)
% The main module for the sensor network simulator. This is a discrete
% time simulator. The main loop is structured as follows:
% 1) Check for capture... stop if capture
% 2) Increment Time
% 3) Using the position of the pursuer(s) and evader(s), check if the
% senso... |
% Image Reconstruction With Bandlimited Sensors Example
%
% This example demonstrates how the bandwidth of sensor elements can give
% rise to artefacts in time reversal photoacoustic image reconstruction. It
% builds on the previous 2D time reversal examples.
%
% author: Bradley Treeby
% date: 27th August 2010
% last ... |
function [c0,c1] = ...
GradientDescent(x, y, c0, c1, learning_rate_c0, learning_rate_c1)
% Default Learning rates
if nargin < 5
learning_rate_c0 = 1e-9;
learning_rate_c1 = 1e-12;
elseif nargin < 6
learning_rate_c1 = 1e-12;
end
% set arbitatry initials... |
data = readmatrix('sensorRead.csv');
%Create image in heatmap form
h = heatmap(data, 'Colormap', jet(256));
grid off;
h.title("Image from CSV");
h.XLabel = 'X';
h.YLabel = 'Y';
%fills in missing points with gray
h.MissingDataColor = [0.8 0.8 0.8];
h.MissingDataLabel = 'No Data'; |
% Test preference-based optimization based on RBF+IDW on
% multiobjective optimization problem.
%
% (C) 2019 A. Bemporad, September 22, 2019
clear all
close all
run_bayesopt=1;
run_rbf=1;
rng(0); % reset counter (for replicability of results)
Ntests=1; % number of tests to repeat with different random seends
RBFcal... |
function sig_raw(varargin)
%% Plot raw picture of the signal.
%% In list operation data is not modified,
%% pictures are saved in cache folder.
func=@sig_raw1;
sigproc2013.sig_process_list(func, '', varargin{:});
end
function data=sig_raw1(data, list_file)
% multiple files are not supported here
if ... |
function TPA_MainGUI
% TPA_MainGUI
% Integrates Behaivior data and Two Photon Experiments
% and allows ROI extraction and Analysis. It also supports Electro Physiology data and Two Photon Experiments.
% Important:
% Expected Data Directory Structures for Behavioral experiments:
% <your path>\Data - directory with... |
function fourier_transform (wave, sampling_freq)
fs = sampling_freq;
y = fft(wave);
n = length(wave);
f = (0:n-1) * (fs/n);
power = abs(y).^2/n;
figure;
plot(f,power)
xlabel('Frequency')
ylabel('Power')
y0 = fftshift(y); % shift y values
f0 = (-n/2:n/2-1)*(fs/n); % 0-centered frequency range
power0 = abs(y0).... |
% %%% extract data %%%
% load bound_cfg
% load BOUND_NAMES
% load BOUND_PATHS
% BOUNDPILOT=Group('names',BOUND_NAMES,'subjects_paths',BOUND_PATHS,'cfg',cfg);
% save('BOUNDPILOT','BOUNDPILOT','-v7.3');%%%save%%%
% %%%%%%%%%%%%%%%%%%%%
%%%%example: plot%%%% (expdefs)
%%%group_name.subject_name.dataset_name.function_nam... |
%%% Function for calculating Cost Escalation Factor
% Updated 11/9/2015 Author: ---
function [CEF] = CEF(b_year, t_year)
b_cef = 5.17053 + 0.104981*(b_year-2006);
t_cef = 5.17053 + 0.104981*(t_year-2006);
CEF = t_cef/b_cef;
end
|
% count and plot
figure
plot(hitting1/100,'ro-','LineWidth',2);
hold on
plot(hitting2/100,'r+:','LineWidth',2);
plot(hitting3/100,'bo-','LineWidth',2);
plot(hitting4/100,'b+:','LineWidth',2);
xlabel('Resampling number','FontSize',14);
ylabel('Optimum found (%)','FontSize',14);
legend('RMHC', 'RMHC,FHT', '(1+1)-EA'... |
function main_batch(specStruct, run_mode, cost_function_names, outputString, variableFactorsInput, fileStackTemp, pathToOutput)
% preamble loading of background parameters
addpath(genpath(fullfile('Common')));
addpath(genpath('Libraries/Robotics_Corke'));
addpath(genpath('Libraries/rl/ik_framework/... |
clc;
clear;
n = 10;
A = 2*diag(ones(n,1),0)-diag(ones(n-1,1),1)-diag(ones(n-1,1),-1)
norm(abs(eig(A)),inf)
k = 90;
for i = 1 : k
[Q,R] = qr(A);
A = R*Q;
end
A
|
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%%README:
%%This function is used to compute the constraint violations of the system.
%%It returns a vector containing which constraints are violated ('1') and a
%%number indicating the total number of violations.
%%%%%%%%%%%%%%%%%%%%%%%%%... |
function [pcaData, coeffs] = calcPrincipalComponents(data, dimReduct, coeffs)
% The PCA analyzes the variance of the dataset. Assumption: Dimensions with
% a high variance contains more information than dimensions with a low one.
% It transforms the data into a complete different space, keeping the
% vectors with the h... |
h = input('The initial height of the projectile above the ground in meters: ');
v = input('the magnitude of the velocity in m/s: ');
th = input('the angle in degrees with respect to the +-x-axis at which the projectile is fired: ');
ax = input('the x-component of the acceleration, considering the sign, in m/s^2: ');... |
function Y = triu(X,offset)
% Symbolic upper triangle.
% TRIU(X) is the upper triangular part of X.
% TRIU(X,K) is the elements on and above the K-th diagonal of
% X. K = 0 is the main diagonal, K > 0 is above the main
% diagonal and K < 0 is below the main diagonal.
%
% Examples:... |
function [ ] = make_ace_climatology_multiple_by_eql( clim_type, varargin )
%A function to read theACE v3.5/6 .mat data and calculate a climatology,
%using equivalent latitude, with the relevant information. The directory
%containing the .nc data, as well as the directory to which you want to
%write the .mat data, shoul... |
% SEA_ICE_EXTENT - calculates sea ice extent.
%monthly files of aice (sea ice concentration in percent) for the Southern Hemisphere (sh)
file1 = strcat('/c/ksmith/WACCM_piCtrl/aice_sh_piControl.0.allyrs.nc');
file2 = strcat('/c/ksmith/WACCM_piCtrl/aice_sh_piControl.1.allyrs.nc');
file3 = strcat('/c/ksmith/WACCM_piCtrl... |
%% StaphSizer Code
% Calculates S. aureus cell size from brightfield and fluorescent images.
% Input: Brightfield image and widefield fluorescent image file from .nd2
% format
% Output: lengths and widths of S. aureus in 4 different categories: full
% septa, partial septa, no septa, and misplaced septa. Saves... |
function [ sigNam,sigVal ] = anovaPH( mz,y,anno )
%statDiffs - starting point for visualising Nicole's bacterial data
% mz - m/z values
% y - spectral intensities
% anno - cell of annotations (can be species,genus,etc... though not sure
% of the technique's validity when compared multiple distributions
... |
% Copyright 2014
%
% Licensed under the Apache License, Version 2.0 (the "License");
% you may not use this file except in compliance with the License.
% You may obtain a copy of the License at
%
% http://www.apache.org/licenses/LICENSE-2.0
%
% Unless required by applicable law or agreed to in writin... |
function found_bi_sturct = ...
Recover_bi_path(current_bi_point_sturct)
%For a single bi point we need to find the path, next gen of bi points and
%its coressponding bi points
%IMPORTANT - the bi points are removed to pervent one bi point picking up
%the other bi points as its neigbour
% %I -
% current_bi_po... |
function Prep_for_EDDY_batch(varargin)
% Written by Penny Cristinacce 11/05/16
% text loading changed 01/12/16
list=importdata('D:\WT\ANALYSIS\STUDY\foldersandinfo_temp.txt');
folderlist=char(list.textdata{:,1});
folderlist=cellstr(folderlist);
analysislist=char(list.textdata{:,2});
analysislist=cellstr(an... |
function spc_DendriteAnalysis(fn)
% DendriteMatrix: row = timepoint, column = pixel
% DendriteMatrix1: DendriteMatrix subtracted by baseline time point
if ~nargin
a = dir('*_ROI2.mat');
fn = a(1).name;
fn = fn(1:end-4);
end
load(fn);
evalc(['data = ', fn]);
pixelPerMicronAt20Zoom = 10.666; %%%%Measure ... |
% The following algorithm was implemented with help of the Book "Computergrafik und
% Bildverarbeitung, Band II: Bildverarbeitung". 3. Auflage, 2011
% by Alfred Nischwitz,Max Fischer, Peter Haber?cker, Gudrun Socher
% Adaptive Color Plane Interpolation (improved)
function rgbfloat = iacpi_debayer(arifloat)
% numbe... |
% This script explores the pzplot() function in Matlab. We use different
% transfer functions to plot the zero-pole graphs via pzplot().
clc;
clear;
num1 = [30 -180];
den1 = [1 4 13 7];
G1s = tf(num1, den1)
zpk(G1s)
num2 = [1 0 1 1];
den2 = [1 1 0 6];
G2s = tf(num2, den2)
zpk(G2s)
z = [-4 -2+4*1j -2-4*1j];
p = [2 -... |
%% data of sin(2x)
patterns = (0 : 0.1 : 2*pi)';
targets = sin2x(patterns);
%% simple case given units
units = 80;
fun = 'x2';
eta = [1.5, 0.0005];
[m, var, Iter, F] = makerbf(patterns, units);
Iter = [0, 20, 10000];
residual = diter(patterns, m, var, Iter, F, units, fun, eta, 0);
%% tests units for given residual va... |
function policy = policyIter(v1,policy,PSS)
stable = false;
gama = 0.9;
c = zeros(1,10);
q = zeros(10,10);
N = 0;
while stable == false
b = policy;
for s = 1:10
for a = 1:10
for sprime = 1:10
c(sprime)= PSS(s,sprime,a)*(sprime+gama*v1(sprime));
end
... |
function [ surplus_nodepot surplus_gas surplus_depot unit_comp ] = calcProd(bases,orbitals,gas,units)
%clear;
%close all;
%%%%%%% INPUTS %%%%%%%
%bases = 3;
%orbitals = 3;
%gas = 6;
%
%% Command Center Units
%scv = bases; %(Constant Worker Production)
%%scv = 0; %(Stop Worker Pro... |
%% Declaration of Authoriship
% This code was written by Jason K. George
% for the purpose of his final year project at Stellenbosch University
% in partial completion for the subject Project (E) 448
%% Code
% Second attempt to model the Mathematical principle behind interferometry
amplitude = 50;
distance = 10;
inco... |
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% ACA utility: pre-compute variables/parameters for ACA procedure %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
function ACAUtils(file_names, NCmin, NCmax)
if(~exist('hand_feature', 'dir') || ~exist('hcluster', 'dir'))
... |
Met de functie randn() produceer je alleen negatieve
willekeurige getallen. |
classdef ItemBase < handle
% 一個試題的基礎類別
properties
data; % data: 試題向量
nd; % nd: 測驗的維度, nd = 1 代表這個 obj 只含1個試題
% nd = 2 代表含有多個試題
n; % n: 試題數
end
methods
% ItemBase 類別的建... |
%迭代式阈值选择，背景图上面显示过分割，欠分割
%1对象叠加在原图上，看对象是否露出来，看是否有前分割现象
%2背景叠加在原图上
ImageInRGB=imread('G:\大三下\数字图像处理与机器视觉\code_matlab\2\apple2.png');
ImageIn=(rgb2gray(ImageInRGB));
imshow(ImageIn);
%创建直方图
ImageGray=0:255;
ImageBar=ImageGray;
for i=1:size(ImageGray,2)%求频数
ImageBar(i)=sum(sum(ImageIn==ImageGray(i)));
end
b... |
classdef Gear_Set < Gear
% This class implements SOME procedures for the calculation of the load
% capacity of cylindrical involute gears with external or internal
% teeth. Specifically the calculation of contact stresses for the
% assessment of the surface durability of cylindrical gears.
% In a pl... |
%setupADCtoDACloopback
% script to define variables used by ADCtoDACloopback.slx
% SS 17Nov2015
format compact
Fs = 307.2e6;
Ts = 1/Fs;
Fgen = 20e6 |
% Program Active learning scheme to speed up learn phase
% Author: Carlos Affonso / Olli Silven / Riku
% Oulu University 7/sep/17
% Dataset Active learning criteria
% Sguario = 1 Random selection = 1
% Balanced = 2 QBC = 2
... |
%% Solves qs 1.9 for assignment 1
% This function calculates the approximate value for e^x, according to the
% given formula in question
function expVal = exponential(x)
% isNegative indicates if x is negative or not
isNegative = false;
% actual value
actualVal = exp(x);
% expVal is the compuatation of the e^x
expV... |
function dir = getdirection(direction)
%
% s = size(direction);
% if length(s) > 2
% n = s(1,3);
% else
% n = 1;
% end
n = 1;
dir = zeros(1,2);
for i = 1:n
mag = abs(direction(:,:,i));
s = sign(direction(:,:,i));
if mag(1,1) > mag(1,2)
... |
clc;
clear all;
close all;
%--------Inputs-------------------------------------------------
N=1e6; %Number of data samples to send across the Rician Channel
EbN0dB=0:11; %Eb/N0 in dB overwhich the performance has to be simulated
totPower=1; %Total power of LOS path & scattered paths
K=[1 5 20 30 60 80]; %A list of Rici... |
function [ULb,FEVULB,IR,FEVm,ULb2,F4]=bootbands(Data,p,constant,iter,hor,conf,varargin)
% The function [ULb,FEVULB,IR,FEV,ULB2]=bootbands(Data,p,constant,iter,hor,conf,varargin)
% computes structural impulse response functions and variance decomposition
% with bootstrap bands.
%
% INPUTS:
% Data - t*n dataset... |
% Marco Bettiol - 586580 - BATCH SIZE ESTIMATE
%
% CBT Full Test
%
% Estimate distributions obtained with CBT fixed different n
%
% Based on cbtsimpletest code
clear all;
close all;
clc;
% input
logn_max=15;
c=100000;
% generate the test batch size
x=1:logn_max;
testsizes=2.^x;
% resulting estimate distribution
% E... |
% =========================================================================
%
% function [CI]= LeemisPark_ConfInt(MeanIn,NumMC,NPlot)
%
% =========================================================================
%
% Created: 1 Nov 2009 (Dr. Temple)
% Modified: Feb 2010 (Dr. Temple)
%
% Confidence Intervals (CI) Ca... |
function ParentInfo=Shape_Category(CDataSetInfo, Mode, Param)
%%%Doc Starts%%%
%-Description:
%1. This method is just a layer on Shape_Feature.m.
%2. Image and binary mask are passed into Shape_Feature.m to compute the related features.
%-Parameters:
%No
%-Revision:
%2014-01-01: The method is implemented... |
function InvPerm = PermInverter(Perm)
% InvPerm = PermInverter(Perm)
%Input: Perm, a 2 row matrix representing a permutation of a distinct set
%of numbers. The first row has the numbers listed in increasing order, the
%second row the same list permuted.
Outputs = Perm(2,:);
[a Ind] = sort(Outputs);
InvPerm = Perm;
I... |
%% Swarm Simulation Video
% Description : Switching Behaviors - Video
% Author : Sasanka Nagavalli
% Date : February 7, 2016
% Other Files :
%% Clean up
clear;
clc;
clf;
close all;
%% Paths
addpath('../behaviors');
data_folder = '../data';
%% Find data
trial_id = 'trial_20161205T045935';
data_file = 'N_... |
function s = fn_structedit(s,varargin)
% function s = fn_structedit(s[,spec][,hp])
% function s = fn_structedit(fieldname1,value1,fieldname2,value2,...)
%---
% allow user to interactively modify a structure, and returns the modified
% structure; returns an empty array if the figure is closed
% this function is a wrappi... |
clc;
close all;
clear ;
%%
%*************************************
% Rigid Flexible Wings
% without Control
%*************************************
nx = 12; %翼展小段
nt = 5 * 10^4; %时间
L2 = 2; %翼展长度
tmax = 100;
Ttr = 50;
dx = L2 / (... |
%work in progress
%by Dave Kaplan
num_female_training = 341;
num_male_training = 342;
num_female_test = 38;
num_male_test = 38;
nrow = 200;
ncol = 180;
% Stack the images, male and female, in flattened row vector vectors into a 2d array
% The first num_female_training row or num_female_test rows are female
% fol... |
function [y0, A, w, x0, varargout] = lorentzianPkFit(x,y,varargin)
% LorentzianPkFit fits Lorentzian shaped peak/dip (single peak/dip)
% y = y0 + (2*A/pi)*(w/(4*(x-x0)^2+w^2));
% Original data length should not less than 20 (length(x)>20)
%
% A function call returns the following fitting Coefficients:
% y0, A, w(FWHM),... |
function figHandle = mT_plotSetsOfSeries(PlotData, PlotStyle, varargin)
% Produces subplots plots of sets of series
% INPUT
% PlotData [subplots in y-drection by subplots in x-direction] strct array,
% with fields...
% Xvals Either single strcutre or [num series] long strcut array with
% fields...
% ... |
listPRN=unique(cmpPPP(:,2));
for k=1:9
st(k).st=[];
end
for i=2:size(listPRN)
mp2 = cmpPPP(cmpPPP(:,2)==listPRN(i),:);
mp2 = mp2(2:end,:);
if size(mp2,1)>50
mp=mp2;
mp(1:5,3)=mp2(1:5,3)-mean(mp2(1:5,3));
mp(1:5,4)=mp2(1:5,4)-mean(mp2(1:5,4));
mp(end-4:end,3)=mp... |
close all; clear; clc;
%% Read customers locations
origFile = sprintf('input/ecbd_customers.txt');
tripDataOrig = dlmread(origFile, ' ', 0, 0);
origX = tripDataOrig(:,2);
origY = tripDataOrig(:,3);
%% Read bookings
bookingFile = sprintf('input/ecbd_sorted_bookings.txt');
tripDataB = dlmread(bookingFile, ' ', 0, 0);
... |
%A = load('C:\!\battery\battery\code\build\A.txt');
%B = load('C:\!\battery\battery\code\build\b.vec');
%load('C:\!\battery\battery\code\python\matrix.txt');
%rhs = load('C:\!\battery\battery\code\python\B.txt')';
A = load('../build/A.dat');
A(:,1:2) = A(:,1:2) + ones(size(A(:,1:2)));
A = spconvert(A);
B = load('..... |
function dxds = mth_dcart_dsphere(r, theta, phi)
% MTH_DCART_SPHERE computes the partials of 3D Cartesian coordinates
% w.r.t. sphereical coordinates.
%
%-----------------------------------------------------------------------
% Copyright 2017 Kurt Motekew
%
% This Source Code Form is subject to the terms of the Mozilla... |
function [impres, tstep, err, errmsg] = spimpres_1208a(spmat,varargin)
%% Description: generate impulse response of an S-parameter element.
% For example, the impulse response of S(2,1) is the output at port 2
% when port 1 is excited by an impulse function.
% input variables
% spmat (double): s... |
function [x, CostFinal] = GradientProjection(f, gradf, lb, ub, x0, maxIter, tol)
% Solves the following problem via Projected Newton:
%
% minimize f(x)
% subject to lb <= x <= ub
%OUTPUT:
% x - Constrained optimal solution
% active - Set of active constraints
% Cost - vector of decreasing cost
%PARAMS
... |
function LG=getinteraction_ellipse3(cam,Z,truedepth,Zact,z, a, b, alpha,xd,yd)
KK=cam.K;
px = KK(1,1);
py = KK(2,2);
v0=KK(1,3);
u0=KK(2,3);
Zact=([Zact' Zact'])';
if(truedepth)
Zarr=Zact(:);
else
Zarr=Z*ones(8,1);
end
delta=0.01;
a=a+delta;%for matrix conditioning
b=b+delta;%for matrix conditioning
x0=z(1)... |
function [betaEstimate,thresholdEstimate]=QuestBetaAnalysisGauss(q,fid)
% betaEstimate=QuestBetaAnalysisGauss(q,[fid]);
%
% Analyzes the quest function with beta as a free parameter. It prints (in
% the file or files pointed to by fid) the mean estimates of alpha (as
% logC) and beta. Gamma is left at whatever val... |
function dicParm = getDicParmDiscrete(options,N)
%
% options - 'std', 'noFreq', 'noTimeShift'
%
%
%%%%%%%%%%%%%
L=log2(N);
a=2;
l=1;
P_FIM = zeros(1,L+1);
K_FIM = zeros(1,L+1);
numAtom=0;
if strcmp(options,'std')
for j=0:L
P_FIM(j+1) = N*(a^(l-1-j))-1;
K_FIM(j+1) = ceil((a^(l-1+j))/2) - 1;
... |
function mfiles = findAllFilesWithTag(tag)
% Find all of the files in the PMTK directory structure that have the specified
% tag.
cd(PMTKroot());
[info,allfiles] = mfilelist();
mfiles = {};
for i=1:numel(allfiles)
if(tagsearch(which(allfiles{i}),tag))
mfiles = [mfiles,allfile... |
tk1=zeros(36000,50);
for loop=1:50
img=strcat(num2str(loop),'.','jpg');
FDetect = vision.CascadeObjectDetector;
%Read the input image
I = imread(img);
% b=I;
% p=im2bw(b);
I = medfilt2(I);
[tempy,tempx]=size(I);
o=1;
tk= reshape(I,size(I,1)*size(I,2),1);
tk1(:,loop)=tk;
% o=1;
end
si=zeros(... |
function [max_z, max_q, outinfo] = community_modularity(A, varargin)
% function [z, q, outinfo] = community_modularity(A, optional_inputs)
%
% feature: This function conduct the greedy agglomerative algorithm to find
% community structure that maximizes the network's modularity (Q).
%
% input: A adjac... |
file= 'exa3_1';
load([ '2filter_',file,'.mat']);
for p=1:Psensor
figure(p); clf; subplot(211); ha= [];
for n=1:Nspkr
temp= plot(k_birth(n):k_death(n),true_tdoa(k_birth(n):k_death(n),p,n)*Ts,'k','linewidth',2);
if n==1,
ha= [ ha; temp(1) ];
end;
hold on;
end;
... |
function res = f_dy(x, y)
res = 2 * y;
|
clear;
clc;
%%%%%%%%%%%%%%% How to create a linear regression model %%%%%%%%%%%%%%%
%linear regression model
VehicleData = readtable('data\VehiclesItaly.xlsx');
VehicleData(1:10,:)
lrm = fitlm(VehicleData,'Registrations~Population');
plotResiduals(lrm);
plotResiduals(lrm,'probability');
outliers = find(lrm... |
function [Total_Slave_Right_Distance,Total_Slave_Left_Distance,Total_Master_Right_Distance,Total_Master_Left_Distance] = Process_Overall(phns_Slave_Right,phns_Slave_Left,phns_Master_Right,phns_Master_Left,Out_Put,num,Flag_DanMaster)
fpn_Slave_Right = fopen (phns_Slave_Right, 'rt');
fpn_Slave_Left = fopen (phns_Slave_... |
clc;clear all;close all;
%% initialization
% başlatılıyor...
swarm_size = 64; % suru parcaciklarinin sayisi
maxIter = 50; % maximum iterasyon sayisi
inertia = 1.0; % cıkıs kosulu
correction_factor = 2.0; % düzeltim
% ilk sürülerin yer... |
% computes the g-functional for an lp space 1<=p<=inf
function [s] = gLp(x, y, p)
n = length(x);
nrmxp2 = norm(x, p).^(2-p);
s = 0;
for i=1:n
s = s + abs(x(i)).^(p-1) .* sign(x(i)) .* y(i);
end
s = nrmxp2.*s;
end |
% The data for experiment 2 can be found in
% '/Volumes/BCI_Data/own_experiments/motor_imagery/movement_detection/long_
% movements/'
%
% First, make sure you have the following folders added to your matlab path:
%
% 'BCI_code/toolboxes/jf_bci/'
% 'BCI_code/toolboxes/classification/'
% 'BCI_code/toolboxes/eeg_analysis... |
function cmc = CMCcurve(res, gnd_q, gnd_db)
% param: res, each column for each query
% param: gnd_q, each column for each query
% param: gnd_db, each column for each query
num_q = size(res,2);
num_db = size(res,1);
isfind = zeros(num_q,num_db);
S = (gnd_q'*gnd_db)>0;
for i = 1:num_q
tmp_idx = res(:,i);
tmp_S ... |
% Este programa retorna a resposta do exercício 10 da lista 1.
disp('10)Calcule o diâmetro interno de uma engrenagem cilíndrica que tem um diâmetro primitivo de 75 mm e um módulo igual a 1,5.')
dp=75 % diâmetro primitivo e mm.
m=1.5 %módulo.
disp('10)A resposta do exercício 10 da lista 1 é : o diâmetro interno em m... |
load('NN.mat');
f = fopen('finalW1L1.txt', 'w');
for i = 1:784
for j = 1:200
fprintf(f, '%f ' , finalW1L1(j,i));
end
end
|
function [d]=feargenET_PFfitting_SimulationPSImargYN0(alphas,SDs,total_trials,p0,logname)
%
% This function simulates the PF Fitting Process PAL_AMPM for different
% alphas (i.e. thresholds), betas (in SD units) and trials per fitting process (total_trials).
% Output is the difference of the estimated parameter alpha/b... |
%predicts which class a new point x belongs to
x = [4 7];
probs=[];
for c = 1:3
probs(c) = density_norm(x, class_mean(c,:), class_covar(:,:,c));
end
probs
posteriors = (1/3)*probs
max(posteriors) %largest posterior probability
find(posteriors == max(posteriors)) %index of the largest posterio... |
function [ binary,score ] = pts2binary( I,J, score )
%turns binary image with score image into x,y,s combo
binary = zeros(size(score));
binary(sub2ind(size(score),round(I),round(J))) = 1;
end
|
%% This script will calculate 10 measures for all files containing RS in the folder: filepathName
% All files fcn*.m contain Matlab functions used in calculating measures.
%% This will suppress al Matlab warnings
warning('off','all')
%% Add path to use EEGLAB Matlab functions; Change path to your local copy of ... |
function niih = avw2nii_hdr(hdr)
%funtion avwh = avw2nii_hdr(hdr)
niih = define_nii_hdr;
niih.sizeof_hdr = hdr.sizeof_hdr ;
%hdr.pad1 = niih.?
niih.extents = hdr.extents;
%hdr.pad2 = niih.?
%hdr.regular= niih.?
%hdr.pad3 = niih.?
if hdr.tdim>1
niih.dim(1)= 4 ;
else
niih.dim(1)= 3 ;
end
niih.dim(2) = hdr.x... |
function predicted = trueDistance710S1(data)
% Distances from AP to RP's in July 10th S1 walk
values = [ 5.385164807
3.605551275
2.236067977
2.236067977
3.605551275
5.385164807
7.280109889
9.219... |
%This program is used to solve one-dimension elliptic equation by Finite Element Method
%Chang Liu
%2016/6/1
clear all;
close all;
clc;
N = 100; %This is the number of all elements
xleft = 0;
xright = 1;
x = linspace(xleft,xright,N+1); %initialize the x coordinate
h = diff(x);
a = zeros(2,2,N); %initialize the local st... |
function model = f_trainSVMmodel(clipsFile,modelFile)
% load training data and assign labels to it
clipsFile = fullfile(runDir, sprintf('/Output/seizures-training-data.mat',params.label,params.technique));
tlabels = zeros(length(featurePts),1);
k = 1;
for i = 1: length(features)
if isempty(strfind(labe... |
function [V_,F_,C_] = makeEnvelopeMesh(paperThickness,contentsThickness,height,length,flapProportion,meshDetail,jitterScale)
% Some shorthands
Tp = paperThickness;
Tc = contentsThickness;
H = height;
L = length;
N = meshDetail;
% Storage
global V F C
V = nan(0,3);
F = nan(0,3);
C = nan(0,3);
hsv = [0.... |
function TEST_rr_exact_test_decode()
% function TEST_rr_exact_test_decode()
% code to test the conceptual validity of statistical testing in high
% dimensions by first decoding.
eff_size = [0.1,0.5,1,2,5];
ndims = [1,5,10,100];
niter = 10;
p_vals_null = nan(niter, length(ndims), 2);
p_vals_true = ... |
clear all;
s = tf('s');
figure;
hold all on;
S=100*s/((50*s+1)*(2*s+1));
bode(S);
tabk = [2 4];
tabti = [12 3];
tabtd = [6 7];
for i=1:2;
for j=1:2;
for k=1:2;
S=tabk(i)*(1+s*tabtd(k)/(0.01*s+1)+1/(tabti(j)*s));
step(S,0.1);
end;
end;
end;
grid on;
axis([0,0.1... |
function [y] = mars_regressor2(model,X)
%MARS_REGRESSOR : Evaluate The Output of a MARS Model
% Given an Input Vector X (NxVars)
% y (NxVars)
MaxBasis = size(model.knotdims,1);
BasisDepth = size(model.knotdims,3);
K = sizeModel(model,MaxBasis);
[N] = size(X,1);
y = model.coefs(1)*ones(1,N);%first value is the bias
... |
function [area,Number] = area_number( c , v , num )
Number = zeros(num, 1);
area = zeros(num, 1);
for i = 1 : num
ind = c{i}';
area(i) = polyarea(v(ind, 1), v(ind, 2));
Number(i) = size(c{i}, 2);
end
end
|
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