text stringlengths 8 6.12M |
|---|
function [mscn,miu,sub,sigma] = mscn(img,window)
%====================================================================
% 求图像的MSCN值
% Input : (1) an double gray image
% (2) a filter window
% Output :
% (1) the mscn map of the image
% (2) the miu map of the image
% (3) the sub ma... |
function [prop,p_locs] = in_pareto_set_distance_problems(p_num,X)
%[prop,p_locs] = in_pareto_set_distance_problems(p_num,X)
%
% function counts the proportions of the designs in X which lie in the
% Pareto set region for the problem (p_num)
%
% returns the proportion of members who are optimal (prop) and their
% corre... |
function linearRegressionLearningCurve(fileName)
[X, y, Xval, yval] = readTrainValTestDataFromFile(fileName);
% Set options for fminunc
lambda = 0;
[error_train, error_val] = learningCurveData(X, y, Xval, yval, lambda, ...
@costFunctionLinear, @trainLinearRegressionFminunc);
plotLearningCu... |
function [h_primitive h_axes] = draw(this, index,...
h_primitive, h_axes,...
draw_options,...
n_samples, sampling_method) %#ok<INUSD>
% draw Draw the multilinegroup object.
%
% draw_options, n_samples and sampling_method arguments are ignored,
% for ... |
function u_p = ichyfft(uch)
% From Chebyshev space to physical space
Nx = size(uch,1);
Ny = size(uch,2)-1;
M = zeros(Nx,2*Ny);
uch(:,1) = uch(:,1)*2;
uch(:,end) = uch(:,end)*2;
M(:,1:Ny+1) = uch;
M(:,Ny+2:end) = uch(:, end-1:-1:2);
v = ifft(M,[],2);
u_p = v(:,Ny+1:-1:1)*(2*Ny);
end
|
clc
clear all;
close all;
%% setup
addpath('datapoints');
addpath('sensorModels');
addpath('helperFunctions');
addpath('stateEstimation');
%% load simulation parameters & data
A = csvread('GoodSensordata30min.csv',1);
vel_bf = A(:,2:4)'; % m/s
omega_bf = A(:,5:7)'*pi/180; % rad/s
position_in = A(:,8:10)'; % m
euler_a... |
function [ClusterAlpha,HullNumber]=RASCAL_Online_AlphaHulls_01(ClustersOnLine1, AlphaHullParameters, handles)
% RASCAL_Online_AlphaHulls_01 creates alpha hulls of offline clustering results
% Inputs:
% GroupNumber: number of groups selected
% ClustersOnline1: results of online clustering, cluster centres and
% ... |
function [averagePrecision, recall, precision] = iEvaluateClassifierParallelPerformance()
%% Read dataset and labels
day_testData = load('day_testData.mat'); day_testData = day_testData.day_testData;
night_testData = load('night_testData.mat'); night_testData = night_testData.night_testData;
rainy_testData = load('rain... |
global E1 E2 mu epsilon delta
load('good_EC50_okay_kinetics_and_amplitudes.mat');
P2X4StackDeMix3.setParams([]);
J=logspace(-7,-5,30);
dE3=zeros(size(J));
dE5=zeros(size(J));
dE55=zeros(size(J));
dEA=zeros(size(J));
for i=1:length(J)
load('good_EC50_okay_kinetics_and_amplitudes.mat');
P2X4StackDeMix3.s... |
function [ Ref, Test ] = fb_tds( E0_ref, E0_test, General, match_method )
%[ E1 ] = fb_tds_backwards( E0 )
% Time Domain Smearing (1) Backward masking Equation 35
% Adding of Internal Noise Equation 36,37
% Time Domain Smearing (2) Forward masking Equation 38-40
global debug_var
if debug_var
fprintf(' Backw... |
function dudx=DudxCentral2(uf,ub,dx)
dudx=(uf-ub)/(2*dx);
end |
function [ newim ] = GazeCorrect(Im )
%GAZECORRECT Summary of this function goes here
%
% INPUTS:
% correctionAngle = [thetaX,thetaY] : correction angles for x and y
% direction
% OUTPUT:
% newim : image of the rotated eye
close all;
if nargin < 1
ImFileName = 'frontal_view_model.jpg';
Im = imread(ImFi... |
function w = ProxHard(T, w)
w = w .* (abs(w) < T); |
% Masking the ceiling camera
function mask = Mask(image)
ROI = imshow(image);
position = [277.469854469854 124.960498960499 814.020790020791 820.407484407484];
e = imellipse(gca,position);
mask = createMask(e,ROI); |
% Mikołaj Szotowicz, date: 26/11
% Mecca in Saudi Arabia 21° 25' 36" N 39° 49' 34" E
clc;
precision = 0.001;
meccaX = 0.69509676521; % 39° 49' 34" E = 39.826111°
meccaY = 0.37396588688; % 21° 25' 36" N = 21.426667°
declination = -0.36372661612; % -20.84°, date: 26/11
hourpointsLabelsNum = [8, 7 , 6, 5, 4, 3, 2, 1, 12... |
function [groundPlane, NumSupporters]=trackGP(GPCandidate_xyz,uvdPoints, threshold)
global intrinsics baseline;
GPCandidate_uvd=uvdPlane2(GPCandidate_xyz, intrinsics, baseline);
uvdPointsReshaped(:,1) = reshape(uvdPoints(:,:,1),1,[]);
uvdPointsReshaped(:,2) = reshape(uvdPoints(:,:,2),1,[]);
uvdPointsReshaped(:,3) = r... |
%close all;
load('exp_rslt_psd.mat');
%load('exp_rslt_piva.mat');
load('exp_rslt_2ndcom.mat');
Ot_psd = exp_rslt_psd;
%Ot_piva = exp_rslt_piva;
forg_dat = exp_rslt_2ndcom;
resize_fact = [0.6 0.7 0.8 0.9 0.95 1.05 1.1 1.2 1.3 1.4];
%resize_fact = [0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9 1];
%resize_fact =... |
clear all;
close all;
array = ["A.png"];
% array = ["A.png";"B.png";"C.png"];
Drone_MAX = 100;
for stage = 1:size(array)
if stage == 1
drone = field_positioning(Drone_MAX);
end
tic;
[drone, Drone_Goal_Matching, Drone_MAX, goal, velocity_vector] = level1(char(array(stage)),Drone_MAX,drone);
... |
addpath('../general_functions')
addpath('../../chapter 1')
addpath('../simulation_code')
%% Generate data for figure 8a
clear variables
N_iter=[20 100 500];
d=2;
lam=0.4;
jtype=3; % Exp(1) jobs
sp1=0; sp2=0;
nruns=40;
svals=linspace(0,200,40);
w_range=linspace(0,400,10^5);
dw=w_range(2)-w_range(1);
Gbar=min(w_range.^(... |
function PlotAvgWxy(Wxy,time,freq)
arrowDensity =[18 18]; % default [25 25]
ad = mean(arrowDensity);
arrowSize = 1*30.*0.03/ad;
% arrowSize = 0; % Uncommenting this line and commenting the prev one will
% cause arrows not to display
arrowHeadSize=0.9*arrowSize*180; % default 1*arrowsize*220
pkDetThr = 0.1;
%%%%%% X... |
function [bx,by,corsh] = disp_on_blocks(im1,im2,blocksize,subpix)
% DISP_ON_BLOCKS calculates x- and y-displacements for each distinct block
% taken from the image im1. The size of the blocks is determind by the
% parameter blocksize. For each block in the image im1 the corresponding
% block in the image im2 is... |
function y = get_rand(size,sum_i)
y = rand(1,size);
while true
s = sum(y)-sum_i;
if s == 0
break;
elseif s < 0
t = randi(size);
d = (1-y(t))*0.001;
if -s < d
y(t) = y(t) - s;
break;
else
... |
function association_rules = generate_association_rules (D, frequent_itemsets, min_confidence)
fprintf(1, '\nCreating candidate assocoation rules...');
ln = length(frequent_itemsets.L);
% convert double level structure into a single level
k = 1;
for i = 1 : ln
for j = 1 : length(frequent_itemsets.L{i})
... |
%=========================================================================
%
% Program to estimate an exponential model and plot the
% log-likelihood function.
%
%=========================================================================
clear all;
clc;
% Read in the data for y
y = [ 2.1, 2.2, 3.1, 1.6, 2.5, 0.... |
function [k, rbfPart, linearPart, n2] = ardKernCompute(kern, x, x2)
%
% This function computes an RBF kernel with ARD lenght scales.
%
% Syntax: [k, rbfPart, ...
% linearPart, n2] = ardKernCompute(kern, x, x2);
%
% Inputs:
% KERN : cell structure containing the parameters of the
% ke... |
% data1: sea-water Pc
% Written by Ali A. Eftekhari
% Last checked: June 2021
data{1}=[0.073 249
0.085 45
0.09 15
0.131 8
0.197 3.33
0.23 2.22
0.25 1.79
0.328 0.6
0.38 0
0.5 -0.1
0.6 -0.3
0.7 -0.7
0.8 -2.5
0.831 -5.8
0.84 -10
0.856 -20
0.863 -32.2
0.867 -43
0.869 -49.1
0.87 -54.3
0.882 -92.8
0.893 -126.9
0.895 -142.5
0... |
function comparefiles(filea,fileb,len)
% comparefiles(filea,fileb,len)
% finde lines in file a that are not in file b
%regarless of order
a = scanlines(filea);
original = a;
b = scanlines(fileb);
for j = 1:length(a)
a{j} = regexprep(a{j},'\s+#.*','');
end
for j = 1:length(b)
b{j} = regexprep(b{j},'\s+#.*','');... |
function p1 = basis(Xe,he)
% Function calculant les fonctions de bases interieures: p1
%
% SYNOPSIS: p1 = basis(Xe,he);
% INPUT : Xe : le centroide .he : diametre
% OUTPUT : p1 : les fonctions de la base P1
% AUTEUR : Diallo Amadou, 28/09/2020
p1 = {@(x,y) 1, @(x,y) 0, @(x,y) -(y-Xe(2))/he, @(x,... |
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% Title: Project 1
% Filename: Tipton_EGR534_Project1.m
% Author: Natalie Tipton
% Class: EGR 534
% Date: 10/15/19
% Instructor: Dr. Rhodes
% Description: This project reads in resting and exercise ECG data and
% finds the QRS complex, ... |
function [auto_results, manual_results] = comp_auto_manual_results(path, dataset, mode, metric_learning_enabled)
addpath('./../');
%
if(dataset == 'lfpw')
face_list = [812:1035]';
all_face_list = [1:1035]';
elseif(dataset == 'cofw')
face_list = [1346:1852]';
all_face_li... |
function r = fhnx3d2fdx2(t,fd_cell,p)
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% fhnx3d2fdx2
%
% Cubic approx to 1D FitzHugh Nagumo
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
r = cell(1,1,1);
r{1,1,1} = -2*p(2)*eval_fd(t,fd_cell{1});
end |
function [X, y]=gen_gauss_classes(m, S, P, N, seed)
[row,column,class] = size(m);
% matrix to hold data
X = [];
% vector to hold class number for respective data points
y = [];
figure();
for j=1:class
% generates class data points
t = gen_gauss_data(m(:,:,j),S(:,:,j),fix(P(j)*N), seed);
if(j == 2)
k=-1... |
function [output] = perform_TOF_measurement()
%UNTITLED7 Summary of this function goes here
% Detailed explanation goes here
output = rand(0, 100);
end
|
%%
clear
%
% orden de indices
% i - power limits
% j - part
% m - month
% l - trial
k= [1, 0.5, 0.37, 0.37, 0.37, 0.17]';
k = reshape(k,6,1,1,1);
coeff = 1.4064;
c = (6:-1:1)' + rand(6,1);
c = reshape(c,6,1,1,1);
%%
nquarter = 10;
pi = 1500*rand(6,nquarter,12);
pi = normrnd(500,200,[6 nquarter 12]);
theta = @... |
%% 调相信号的解调
%% 清理
clear
clc
close all
%% 参数
f0 = 2; % 原始信号频率，单位Hz
fc = 1e3; % 载波信号频率，单位Hz
fs = 1e5; % 信号采样频率，单位Hz
%% 设置信号
t = 0:(1/fs):8; % 时间
sigSrc = 0.5*sin(2*pi*f0.*t) + 0.5*sin(2*pi*2*f0.*t) + 0.3*cos(2*pi*0.5*f0.*t+pi/4); % 原始信号
sigCar = sin(2*pi*fc.*t); ... |
%pring waiting orders to file or on the screen
fc_msg = 0;
if not(libisloaded('fc_matlab'))
display('need login first');
else
[fc_msg] = calllib('fc_matlab','printOrders', '01549059', 'waitingOrders.csv');
end;
%{
Parameters for printOrders function:
accountNumber, fileName
accountNumber - account can b... |
function GT_reco_bucket(connection)
next_acquisition = @connection.next;
acquisition = next_acquisition(); % Call input function to produce the next acquisition.
sRO = connection.header.encoding.reconSpace.matrixSize.x;
sPE = connection.header.encoding.reconSpace.matrixSize.y;
sSE = connection.header.encoding.recon... |
function plotDirectionTuningCurveGlm(TC,varargin)
p=inputParser;
p.addParamValue('bayesfit',false,@islogical);
p.parse(varargin{:});
%
colors={[1 0 0],[0 0 1],[0 1 0],[1 0 1],[1 1 0],[0 1 1]};
%%%
subplot(2,2,1);
for ss=[2:numel(TC) 1] % SubSets of the data, 1 is always all data, pl... |
function [MOD,TEST_FIRE_CYCLE,w,TEST_CYCLE_TIME,TEST_FIRE_CYCLE_NUMBER,latitude,longitude,column, row,To_M, Ta_M, tm_M, ts_M, dT_M, k_M, w2_M, tau_M, m_z_M, P_M, v_z_M, v_m_M, theta_z_M, theta_zm_M, theta_zs_M, m_zs_M, tsr_P_M, a_P_M, Y_P_M, Z_P_M, a_RKHS_M, K_RKHS_M, deltaK_RKHS_M, a_SVD_M U_SVD_M deltaU_SVD_M Q, R1,... |
function YI = flin(ts,te,Ys,Ye,t)
dt = te-ts;
dY = Ye-Ys;
if (t <= ts)
YI = Ys;
elseif(t >= te)
YI = Ye;
else
YI = Ys + dY.*(t-ts)/dt;
end;
return; |
function LYCnetcallback2(obj,~)
% 根据SICK LD-LRS3601重写
global bufferlen;
global bgfrmnum2;
global bg_lidar2;
global bg2_lidar2;
global proflag2;
global lidar2frm;
global bufferdata3;
global bufferdata4;
global firstflag2;
global oridatadisplayflag;
if firstflag2 == -1
bufferdata3 = fread(obj,bufferlen,'ui... |
load('C:\Users\brain_000\Dropbox\Penalty Kick Ass\data - 8.8.15.mat')
%first 2000 are musimol
% data = data(randi(length(data),1,400));
NC=50;
dim=6;
D=6; obsTypes{1}.idx=[1,2,3,5,6,7];
%D=6; obsTypes{1}.idx=[1,2,3];
obsTypes{1}.dist='mvn';
model = mixHMM(NC,dim,D,obsTypes,ones(NC,1)/NC*4,ones(dim,dim)/dim,ones(dim,... |
% Problem Parameters
% ------------------
d1 = 0.02;
d2 = 0.05;
L = 0.8;
rho = 2700;
b = 9.81;
E = 70e9;
g = 9.81;
tht = (d2-d1)/L;
% Gauss Points and weights
% -------------------------
xi1 = -0.774597; w1 = 5/9;
xi2 = 0.774597; w2 = 5/9;
xi3 = 0; w3 = 8/9;
% Element1
% --------
xvec = [0;0.1;0.2]; x... |
function [v,dv] = fun2(x)
v = x*x*x + 2;
dv = 3*x*x;
endfunction
|
% This is material illustrating the methods from the book
% Financial Modelling - Theory, Implementation and Practice with Matlab
% source
% Wiley Finance Series
% ISBN 978-0-470-74489-5
%
% Date: 02.05.2012
%
% Authors: Joerg Kienitz
% Daniel Wetterau
%
% Please send comments, suggestions, bugs,... |
% Urban informatics course
% Eelis Peltola, id:240286
% 12.12.2017
% This function calculates the decibel magnitude of calibration audio, and
% the difference to dB values fromm calibration device.
% Calibration test audio, in small audio room with 1 kHz sine wave sound
filenames = ['dba_test1_sound1.wav'; 'dba... |
classdef ImageInputLayer < nnet.cnn.layer.Layer
% ImageInputLayer Image input layer
%
% To create an image input layer, use imageInputLayer
%
% ImageInputLayer properties:
% Name - A name for the layer.
% InputSize - The size of ... |
function h=hh(a,b,c)
if nargin == 3
c
else
end
if nargin == 2
b
else
end
if nargin == 1
a
else
end
if nargin == 0
fprintf('0')
else
end
|
function [ flag ] = isCrossed( mask, object )
%ISCROSSED Summary of this function goes here
% Detailed explanation goes here
end
|
clear;close;clc;
n = 115;
noise = 6;
for i = 1:n
x(i) = 10+rand*noise -noise/2;
y(i) = 10+rand*noise -noise/2;
z(i) = 10+rand*noise -noise/2;
end
mat = [x' y' z'];
dlmwrite('stationary.txt',mat,',')
for i = 1:n
x(i) = 10+rand*noise -noise/2 +0.1*i;
y(i) = 10+rand*noise -noise/2;
z(i)... |
% Farinaz Fallahpour
% Date: 2012
% https://github.com/FarinazFallahpour
function cost = CostFunction(x)
lambda = 100;
violation = ( abs( x(:,1) - 4 ) + (x(:,1)-4) ) /2;
cost = (x(:,1)-10).^2 + lambda * violation ;
|
% Parameters
d = .25; % wheel base (meters)
syms t
dilation = 5;
a = 0.4;
l = 0.4;
%Our cardioid equation
cardioid = sym([-2*a*(((l-cos(t/dilation))*cos(t/dilation) + (1-l))); 2*a*(((l-cos(t/dilation))*sin(t/dilation))); 0]);
%Finding the That vector
T = diff(cardioid);
MagT = norm(T);
That = T./MagT;
%Cal... |
% Phase 6: Compute weights of cone inputs to mRGC RF centers and surrounds
function runPhase6(runParams)
connectivityFile = fullfile(runParams.outputDir, sprintf('%s.mat',runParams.inputFile));
load(connectivityFile, ...
'conePositionsMicrons', 'coneSpacingsMicrons', 'coneTypes', ...
'... |
function S = xmlelem2struct(Element)
f = fieldnames(Element);
f = f(~strcmp(f,'Attributes'));
for i = 1:length(f)
SubElem = Element.(f{i});
if iscell(SubElem)
for j = 1:length(SubElem)
S.(f{i})(j,1) = xmlelem2struct(SubElem{j});
end
elseif isfield(SubElem,'Text')
[number,... |
function update_traces(q, p, handles)
%q is a vector of states
N=size(q,2);
x_ankle=zeros(2,N);
for idx=1:size(q,2)
[body,hip,hip2,knee,knee2,ankle,foot,...
body_com, hip_com, knee_com, knee2_com, ankle_com, foot_com]...
= get_frames(q(:,idx),p... |
function feature_vector = Extract_basic_features (data)
n = size(data, 1);
var_num = size(data, 2);
window = size(data, 3);
feature_vector = [];
for i = 1: n
features = [];
for j = 1:var_num
seg = data(i,j,:);
% 4 features
features = [features,mean(seg),std(seg),max(seg),min(seg)];
... |
%{
# Thermal integrator
This function integrates the thermal model equations and returns the
temperature of each node for each time step.
INPUTS:
* model: structure with the thermal mathematical model parameters
* scenario: structure with the thermal load scenario parameters
* ic: vector with initial temperature of ... |
clear
clc
f = [5 18 42 27 8];
%A = cumsum(f);
%for 1st quartile
%q1 = (sum(f)+1)/4;
Q1 = quantile (f, 0.25);
Q2 = quantile (f, 0.50);
Q3 = quantile (f, 0.75);
q = (Q3-Q1)/2; |
% demo_Su_2017_MRM_MRF_ASL.m
% Written by Namgyun Lee
% Email: namgyunl@usc.edu, ggang56@gmail.com (preferred)
% Started: 10/07/2019, Last modified: 06/13/2020
%% Clean slate
close all; clear all; clc;
%% Add paths
addpath(genpath('..\..\Bloch_Flow_MT'));
%% Initialize a random number generator
rng('default');
%% D... |
% Example of creating Neighborhood Graphs
%
% by David L. Jones, Apr-2008
%
% This file is part of the FATHOM Toolbox for Matlab and
% is released under the GNU General Public License, version 2.
% File: '.../examples/neighbors.mat'
% -----Notes:-----
% This example is similar to that presented in 'Dray, S. 2006. Mo... |
function [corr_mat] = make_corr_mat(session_dir,subject_name,visual_area,hemi)
%% set defaults
if ~exist('hemi','var')
hemi = 'lh';
end
if ~exist('visual_area','var')
visual_area = 'V1';
end
if ~exist('SUBJECTS_DIR','var')
SUBJECTS_DIR = getenv('SUBJECTS_DIR');
end
anatdatadir = fullfile(SUBJECTS_DIR,subje... |
close all;
clear all;
z=9;
xk=4;
r=[xk];
for i=1:20
%xk=(z+xk)/(1+xk);
xk=0.5 * (xk + z/xk);
r=[r xk];
end
odd=r(:,1:2:end);
even=r(:,2:2:end);
hold on
odde=abs(odd-4*ones(size(odd)));
evene=abs(even-4*ones(size(even)));
e=abs(r-sqrt(z)*ones(size(r)));
plot(r);
%plot(odd);
%plot(eve... |
function r = isdefined(var_s, vars)
%% Cheacks whether a variable is initialized
if any(strcmp(var_s, vars))
r = ~isempty(evalin('caller',var_s));
else
r = false;
end |
function out=stringInFile( fileName, searchString)
% Verify if searchString exists in file.
% Returns 1 if the searchString exists in the file (fileName), where file
% is in MATLAB search path.
a=fileread(fileName);
positions=strfind(lower(a),lower(searchString));
out=~isempty(positions); |
function [Y,dYdom,dYdT] = rigid_motion(X,om,T);
%rigid_motion.m
%
%[Y,dYdom,dYdT] = rigid_motion(X,om,T)
%
%Computes the rigid motion transformation Y = R*X+T, where R = rodrigues(om).
%
%INPUT: X: 3D structure in the world coordinate frame (3xN matrix for N points)
% (om,T): Rigid motion parameters between worl... |
% This is material illustrating the methods from the book
% Financial Modelling - Theory, Implementation and Practice with Matlab
% source
% Wiley Finance Series
% ISBN 978-0-470-74489-5
%
% Date: 02.05.2012
%
% Authors: Joerg Kienitz
% Daniel Wetterau
%
% Please send comments, suggestions, bugs,... |
clear;
s = 'ST';
D = readX(s);
tt = 20;
D = timeprocess(D); %处理时间
D = interpolation(D,tt); %插值
[D,~]=move_mean(D); %减去平均值
[V,X]=tran_X_2(D,tt); %求速度和位移
windowsize=60; %序列长度
%%
[D, ~]=move_mean(D);
[V, ~]=tran_X_2(D,tt);
centerX = classifyV(sqrt(V(:, 2) .^ 2 +V(:, 3) .^ 2));%聚类
centerX=[1,centerX,size(D,1)];
fprintf('... |
% clc, clear
load paths
inria = load([inriaDataSet '/inriaPosTrain']);
I = im2single(inria.images(1).image);
params = load('results/optimize/inriaParametersHog.mat');
params.method = modifyDescriptor(params.method,'colour','none');
mFunc = parseMethod(params.method);
[~,Dnone] = mFunc(I,'','',false); |
function sem=standardError(dataaa,dim)
c=size(dataaa,dim);
s=std(dataaa,1,dim);
sem=s./sqrt(c-1);
end |
function bcm = getbcm(varargin)
%GETBCM - Bunch current monitor
% BCM_328Point_Waveform = getictwave(Field)
% StructureOfWaveforms = getictwave('All')
%
% BCM = getbcm('BunchCharge') {Default}
%
% NOTE
% 1. There is roughly 62.54 ps between ADC samples (also the Trigger Delay step size)
% 2. There is 32 sampl... |
function [CFvals,CFvecs,basis_type,x] = cavity_loadBasis(basis_loc,k_a)
load(basis_loc,'CFvals','CFvecs','basis_type','x');
[CFvals,CFvecs] = cavity_sortBasis(CFvals,CFvecs,k_a);
end
|
%% setup variables
c=1520; % [m/s] assume tissue
Trans.spacing=params.pitch;
Trans.frequency=params.fs/4*1e-6;
lambda=c/(Trans.frequency*1e6);
[depth_m sensor_n, nBuff] = size(rf_data);
sampleZero=0; %should be zero if the physical image begins at sample 1
Fs = 4*Trans.frequency*1e6;
dt = 1/Fs;
%lambda=c/1.1e6;
... |
%% script to make masks from basc on dartel on adni
clear all
% set the paths and inputs
all_path = '/Users/AngelaTam/Desktop/adsf/adni_dartel/';
path_basc = [all_path 'basc_msteps_20160912_1/stability_ind/adni/sci10_scf9/brain_partition_consensus_ind_adni_sci10_scf9.nii.gz'];
path_out = [all_path 'basc_masks/'];
sca... |
clear all
clc
%% outline
% find the en, and ch err big index.
% check the ser
%% main
ind_en=load('txt_err_big_en.txt');
ind_ch=load('txt_err_big_ch.txt');
ind_err=intersect(ind_en,ind_ch);
% dlmwrite('txt_err_big.txt',ind_err,'precision', '%d',...
% 'delimiter', '\t','newline', 'Unix');
%% logs
% mod : 21-M... |
% IN.ANAT.(SUBJECT) (string) the file name of an individual T1 volume (in stereotaxic space).
% Labels SUBJECT are arbitrary but need to conform to matlab's specifications for
% field names.
% IN.FUNC.(SUBJECT) (string) the file name of an individual functional volume (in stereotaxic space)
% Labels SUBJECT need... |
function y = sym_polyval(p,x)
A = sym_polymat(x,length(p));
y = A*p; |
function accuracy = ACC(CCA_output, blockDim, correctSeq)
% Check accuracy of CCA output (target * 1 or target * block)
if nargin < 2
blockDim = 2;
end
if nargin < 3
correctSeq = [1: size(CCA_output, 1)]';
end
if length(size(CCA_output)) > 2
error("Expected 2D matr... |
function [ ] = tp_fn_Newton(R,N,tMax,T0,Tenv, flagC)
% Ian Cooper
% School of Physics, University of Sydney, Sydney, NSW, Australia
% Email: ian.cooper@sydney.edu.au
% Web: https://d-arora.github.io/Doing-Physics-With-Matlab/
% R Cooling constant [1/min]
% N Number of time steps
% tMax Tim... |
function [lat lon azi] = getmidperp(xyz1, xyz2, ss)
x1 = xyz1(1); y1 = xyz1(2); z1 = xyz1(3);
x2 = xyz2(1); y2 = xyz2(2); z2 = xyz2(3);
[lat1, lon1, h1] = geocent_inv(x1,y1,z1,ss);
[lat2, lon2, h2] = geocent_inv(x2,y2,z2,ss);
[L,azi1,azi2] = geoddistance(lat1,lon1,lat2,lon2,ss);
[lat, lon, azi] = geodreckon(lat1, lo... |
%&%&%&%&%&%&%&%&%&%&%&%&%&%&%&%&%&%&%&%&%&%&%&%&%&%&%&%&%
%&% %&%
%&% Λ.07 - ΕΞΟΡΥΞΗ ΔΕΔΟΜΕΝΩΝ %&%
%&% 2Η Σειρά Ασκήσεων %&%
%&% %&%
%&% Υλο... |
function plot_pald_graph(cluster)
end |
% frameRate = 10;
%%
cJet = colormap(jet(SegNum));
c1b = colormap(winter(SegNum));
c1c = colormap(autumn(SegNum));
close all;
scrsz = get(0,'screensize');
HourXaxis = RT/frameRate/60/60;
getsize = @(x)x(1);
%% Plot Angles
figure;hold on;
for i = SEGMENTS
plot((frames(FRAMES)),AHA_S05{5}(i,FRAMES),'Color... |
function [xRef, uRef, xhat] = calc_reference_V2(x_func, y_func, currIndex, finalIndex, deltaT, varargin)
% PURPOSE: Calculates positions and reference feedbacks for the model
% based on the input position functions
%
% INPUTS: x_func and y_func are self-explanatory
% currIndex --> the current index. Will be 1 ... |
function [pass,maxerr] = test(opt)
% Check indifference of aptkernel() towards input dimensionality
t = linspace(-1,4,100);
K1 = aptkernel(t);
% Clear to remove cached results
clear aptkernel
K2 = aptkernel(t.');
% Pass 1: Kernel bases are equal
pass(1) = isequal(K1.Base,K2.Base);
% Pass 2: Frequency axe... |
function FeatureBoxplot(PSD, labels, Features, FeatureNb)
x = log(PSD(labels==773,Features(1,FeatureNb),Features(2,FeatureNb)));
y = log(PSD(labels==771,Features(1,FeatureNb),Features(2,FeatureNb)));
group = [ones(size(x)); 2*ones(size(y))];
boxplot([x;y], group, 'Notch', 'on');
set(gca,'XTickLabel',{'Class 773 (Hands... |
%% DIGITAL IMAGE PROCESSING - Aristotle University of Thessaloniki
% Assignment 2 - Summer Semester 2020/2021
% Kavelidis Frantzis Dimitrios - AEM 9351 - kavelids@ece.auth.gr - ECE AUTH
function [keypointsHighC,kpfiltCell] = discardLowContrasted(DoGs,keypoints ,keypointsCell,t, p)
% discardLowContrasted : Func... |
function [results] = esvm_evaluate_pascal_voc(test_struct, grid, ...
params, ...
target_directory, cls, ...
models_name)
% Evaluate PASCAL VOC detection task with the models, their ... |
function im_map=map_con_array_1(im_orig, N, Cmin, Cmax);
% function im_map=map_con_array_1(im_orig, N, Cmin, Cmax);
%
% mapping array of images to concentrations using information from one slice N
% use map_con_array_2 for mapping using Min and Max for two - top and bottom images
%
% im_orig - original array (n... |
function [ w ] = nextState(w)
%NEXTSTATE the trainsition function
% This is a function maps action to the next state
global p;
% transit to the target state with probability 1
w.nexts = w.cura;
% give the reward for the next state
if w.targetsRemain(w.nexts)
w.targetsRemain(w.nexts) = false;
w.R = p.subR;
... |
% Record of parameters chosen and set-up
n = 200;
%d = 1000; %for paper example
d = 1000;
Means = [1 1; -1 -1; 1 -1; -1 1; 0 0];
%Means = [2 1; -1 -1; 1 -1; -2 1; 0 0];
k = size(Means,1);
r = 2;
N = k*n;
%sigma = .3;
M = [Means zeros(k,d-2)]; %augment with zeros
% X = [ones(n,1)*M(1,:)+sigma*randn(n,d);
% ones(... |
%% 2D Diffusion on a Rectangular Plane (Dirichlet Boundaries)
xmin = 0; xmax = 10;
ymin = 0; ymax = 10;
N = 10;
M = 10;
xvals = linspace(xmin, xmax, N+1);
yvals = linspace(ymin, ymax, M+1);
% Initialize vert_list because it's good practice
verts = zeros((N+1)*(M+1),2);
hold on
for i=1:N+1
for j = 1:M+1
% ... |
clear all; clc;
% initial weight values
w1=[33.7 62 3.4];
w2=[39 61.5 6.5];
LR=0.5;
name = 'HabermanData.txt'; % import data
M = dlmread(name, ','); % split data
M=M(1:140,:);
y1=1;
y2=2;
x1=M(:,1);x2=M(:,2);x3=M(:,3); % x1:age attribute, x2:year attribute, x3=nodule
target=M(:,4); % target:surviv... |
clear; close all; clc;
addpath('C:\Users\akehi\Documents\GitHub\GNSSLIB')
lam=plotpos('1800_3回目(GPあり)\left_lambda.pos');
lam.nickname='..\中間発表\img\屋上lambda';
figure
lam.graph('xy')
figure
lam.graph('xy',1)
lam.repo()
clam=plotpos('1800_3回目(GPあり)\left.pos');
clam.nickname='..\中間発表\img\屋上clambda';
clam.setre... |
clear all
close all
load('CTRL25_table.mat');
ctrl=2503;
DT=0.05; %3 mins
NPeriods=960; %48 hours
cells=CTRL25.TRACK_ID;
IDs=unique(cells);
Ncells=size(IDs,1);
time=CTRL25.POSITION_T;
T=linspace(0,NPeriods-1,NPeriods)*DT;
track_data=NaN(Ncells,NPeriods,4);
%Split tracks and give them x and y posit... |
function [images, x, y, z, number_of_images] = load_images(file_type)
% Image folder path.
% Open a folder picker to pick folder.
directory_name = uigetdir('C:\');
% Get files with given type and folder.
S = dir(fullfile(directory_name, file_type));
% Get number of images.
[number_of_images, ~] = size(S);
... |
function [ X_R ] = orthoProject( X, Z )
if(isvector(Z))
X_R = X - Z*(Z'*X) ./ (Z'*Z);
else
[~, pivcol] = rref(Z);
A = Z(:, pivcol);
clear Z;
% P = A/(A'*A)*A';
% I = eye(size(P));
% P_ortho = I - P;
% X_R = P_ortho*X;
X_... |
function [pf_th,th_used]=adjusted_profile_thresholding_new(pf,num_max)
% it threshold this profile to have at most num_max rows
row_size=size(pf,1);
if row_size<=num_max
pf_th=pf;
th_used=0;
else
th=0.1;
stop=0;
pf_th=profile_thresholding_new(pf,th);
if size(pf_th,1)<=num_max
... |
function [a, b] = Fp(f, h)
%Dérivée au point inital (a) et final (b)
a = (f(2) - f(1)) / h;
b = (f(end) - f(end-1)) / h;
end |
x=linspace(0,2*pi,30)
y=sin(x)
z=cos(x)
result=plot(x,y,x,z)
|
function job_id = queue_job(func,args,jobs_to_wait)
% path are just for reference. include addpath in the function, or
% ask me to add it to default search path. Aki 04/24/2014
if(nargin<2)
args = {};
end
if(~iscell(args))
args={args};
end
if(nargin<3)
jobs_t... |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.