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classdef InstrumentIO < matlab.mixin.Copyable & dynamicprops
methods
function obj = InstrumentIO()
end
function ax = plot(obj)
figure();
ax = axes('NextPlot', 'add');
names = properties(obj);
for i=1:length(names)
... |
function NE = lalo2llf(trk,pt)
% NE = lalo2llf(trk)
% or
% NE = lalo2llf(trk,pt)
%
% Convert latitude-longitude track points into a
% local level frame.
%
% Inputs:
% trk = [latitude,longitude] is a matrix of track points.
% pt = [latitude,longitude] is the centre point of the
% ... |
% when performing label transfer, we only look at objects that are in a certain size range, and at most 2 feet off the ground
% this script returns an array containing the valid components
% we only perform label transfer on the components returned by this script
necessaryIdx=0;
necessaryIndices=zeros(0);
for i=1:leng... |
function PlotScenarios( ...
tGenerator, ...
fJulianDate, ...
aafSolarRadiationScenarios, ...
aafSkyCoverScenarios, ...
afMaximalRadiation )
%
% manage the cases where the PlotScenarios() is called without
% additional parameters
switch( nargin )
%
case 1
fJulianDate = Time.... |
% a list of bulb hotspots to be analyzed
disk = 'f';
hotspotmapList=[];
%1
hotspotmapList{1}.dirPath = [disk ':\Data\2011\Jan\Jan 27 OMP bulb\'];
hotspotmapList{1}.neuron = 1;
hotspotmapList{1}.cluster = 1;
hotspotmapList{1}.th = 0;
hotspotmapList{1}.spotTh = 30;
hotspotmapList{1}.cen = [1 4 ];
%2
hotspotm... |
% This is Exercise 2 of the course "Model Predictive Control" in the summer
% term taught at the IST.
function computeAlpha_solution
% In this exercise, a suitable terminal set for a
% Quasi-Infinite-Horizon MPC scheme shall be computed.
%
% Here, we use the 4-step procedure described in the paper[ Quasi-Infinite H... |
function aprintf(varargin)
global VERBOSE A_FID
if VERBOSE; fprintf(A_FID,varargin{1:nargin}); end
|
function [coherence,centric] = calDistributionCRM(salSup,Isum,x_vals,y_vals,m,n,spnum,number)
% salSup：每个超像素与其他超像素的相似性乘以其包含的像素个数 公式13-15的分子的一部分
% Isum：每个超像素与其他所有超像素的（相似值*像素个数）的和 公式13-15的分母
% x_vals,y_vals：超像素的x，y坐标
% spnum：超像素个数
x_valMat = ones(number,1)*x_vals';
y_valMat = ones(number,1)*y_vals';
x0 = (sum(salSup.*x... |
function [fig, handles] = plotDenmark()
%% Goal
%Plots map of Denmark
%% Load data
inpMap = load('data/DenmarkMapWithInhab.mat');
zoneData = inpMap.data;
%% Plot
f = figure;
f.Name = 'ZOMBIESINDENMARK';
hold on
handles = gobjects(1,size(zoneData,2));
for k = 1:size(zoneData,2)
handles(k) = plo... |
%Whale Group at MTBI
%This function corresponds to the ratio between single male and paired females
%for the Whale Group (also know as the Whale Watchers :P )
%x = single females
%y = single males
function maleratiopaired = rmp( y, px );
maleratiopaired = y / px; |
function fit_stats = find_linear_fit_stats(data1, data2, options)
% Determine optional inputs
if (nargin() == 2)
[figure_ID, verbose, debug_mode] = process_options([]);
elseif (nargin() == 3)
[figure_ID, verbose, debug_mode] = process_options(options);
else
error('Must have 2 or... |
function block__plot(blocklist, mcluster, children)
%
% drawing the blocks given in blocklist
%
N = mcluster(end,2) - mcluster(end,1) + 1;
% Frame
fig = figure;
rectangle('Position', [0,0,N,N]);
axis([0 N 0 N]);
hold on
% Off-diagonal blocks
for i = 1 : size(blo... |
function K = apx(hyp,cov,x,opt)
% (Approximate) linear algebra operations involving the covariance matrix K.
%
% A) Exact covariance computations.
% There are no parameters in this mode.
% Depending on the sign of W, we switch between
% - the symmetric Cholesky mode [1], where B = I + sqrt(W)*K*sqrt(W), and
%... |
function [freq_out, psd_out, fpeak, psdpeak] = ppsd(x,dt,c,doPlot, df)
% ppsd plot psd
%
% [F, psd, F_peak, psd_peak] = ppsd(x,dt,color,[doPlot], df)
%
% plots psd, optionally returning psd and location of peaks (>3sd from
% mean)
% color is color letter + optionally, linestyle
% doPl... |
clearvars;
% set param
data_requirement = 'nonlinear';
kernel = 'rbf';
sigma = 1;
C = 1;
% generate dataset
[X_train,y_train] = generate_dataset(data_requirement);
[X_test,y_test] = generate_dataset(data_requirement);
% train SVM model
[alpha, b] = svmHardMargin_train(X_train, y_train, kernel, sigma);
% [alpha, b] =... |
function [f,g] = OF_Cost(vy,opstr)
idx = opstr.idx;
par = opstr.par;
n_real = opstr.n_real;
n_int = opstr.n_int;
x = vy(1:n_real);
y_int = vy(n_real+1:n_real+n_int);
y_bin = vy(n_real+n_int+1:end);
y = [y_int;y_bin];
k = par.value;
for ii=1:1:size(idx,2)
k(idx{ii})=x(ii);
end
D_max = opstr.D_... |
%% Affine mapping for p=1 shape functions
%% Affine mapping for p=2 shape functions
%% Affine mapping for p=3 shape functions |
% Tanvir Ferdousi
% Kansas State University
% Last Modified: Dec 2017
% Copyright (c) 2019, Tanvir Ferdousi. All rights reserved.
% Redistribution and use in source and binary forms, with or without
% modification, are permitted
% Estimates the mosquito abundance factor based on the day of the year
function [f] = sea... |
confid99_in = 3*ones(length(output),1)*sqrt(Pycl_infty);
confid99_out = 3*ones(length(input),1)*sqrt(Pu_infty);
subplot(211)
plot(output)
hold on
plot(confid99_in, 'color','r')
plot(-confid99_in, 'color','r')
legend('Simulated output','Theoretical 99% confidence')
hold off
subplot(212)
plot(input)
hold on
plot(confid9... |
function wander(velocity)
% wander - This function wander the robot around an obstacle
% ========================================================================
%
% wander(velocity)
%
% Description:
% This function uses some obstacle avoidance routines.
%
% Input:
% velocity: The desired translational... |
function [ edge_set ] = TIGRE( graph, starting_node)
%UNTITLED7 Summary of this function goes here
%%%% Graph as incidence matrix and edge_set as output
%graph=graph';
number_of_nodes = size(graph,1) ;
number_of_edges= size(graph,2) ;
Edges_traversed =[];
edge_set=zeros(number... |
function [chi]=PCCA_plus(P,n)
%n=3; % number of clusters
m = size(P,1); % number of states
%% Different possibilities to define the initial distribution
%sd=rand(1,m); fprintf('\n initial distribution = random');
%sd=ones(1,m); fprintf('\n initial distribution = uniformly');
[sd, onv]=eigs(P',1,'lr'); fprintf... |
function [out1,out2] = trainlm(varargin)
%TRAINLM Levenberg-Marquardt backpropagation.
%
% <a href="matlab:doc trainlm">trainlm</a> is a network training function that updates weight and
% bias states according to Levenberg-Marquardt optimization.
%
% <a href="matlab:doc trainlm">trainlm</a> is often the fastest bac... |
function [uu] = hgbeam(xx,yy,m,n,omega)
c1=[zeros(1,m),1];
c2=[zeros(1,n),1];
uu=sqrt(omega)*HermitePsi(c1,sqrt(omega)*xx).*HermitePsi(c2,sqrt(omega)*yy);
end
|
% Example 10.2
% from Parameter Estimation and Inverse Problems, 3rd edition, 2018
% by R. Aster, B. Borchers, C. Thurber
% This script creates the synthetic data set for the EM-38 example
%
% make sure we have a clean environment
clear
rand('state',0);
randn('state',0);
% Number of layers.
M=11;
% The model conduc... |
% Demonstrate basic computation of retinal image and mosaic responses from RGB
%
% Description:
% This tutorial shows how we process a set of RGB images through ISETBIO
% to give us a dataset that has the RGB image, the retinal image, and
% the mosaic responses. We can then use this dataset in various machine... |
% Make this a function!
% Select Directory Containing T Files
%ds = dirstruct('/Users/Neil/Desktop/2016-02-11');
ds = dirstruct('/Volumes/Data3/Neil/2016-06-10'); % school
%ds = dirstruct('/home/neil/Data/2016-04-15'); % home
% Get all cells from directory
[cells,cellnames]=load2celllist(getexperimentfile(ds),'cel... |
function [S,BVSymInt,ia] = SymmetrizeSMatrixArbL(Sin,bvint,symmetry)
% SymmetrizeSMatrixArbL symmetrizes S-matrix for identical particles
% [S,BVSymInt]=SymmetrizeSMatrixArbL(Sin,bvint,symmetry) Sin is input S
% matrix, BVint is input interal basis vectors, and symmetry=1,-1 defines
% whether it is symmetric or anti-sy... |
function EmbedPointScanner(bh, bw, topBuffer, leftBuffer, loch, locw, binSize, cycleAll, debug)
% Point scan inside the active box
%
% bh: active box height, bw: active box width
% topBuffer: num of black rows above the active box
% leftBuffer: num of black columns to the left of the active box
% binSize: length of th... |
function rottwodscript(secondinterface, thetamax, g, string)
%eyabs is now intensity
zi=0;
xi=-10;
zf=10;
xf=10;
zstepfrac=0.1;
xstepfrac=0.01;
size=ceil(((zf-zi)/(zstepfrac)))+1;
sizex=ceil(((xf-xi)/(xstepfrac)))+1;
eta='pi';
eps2=-1;
mu2=-1;
thetai='0';
dsource=1;
kxcutoff='30';
%secondinterface=3*dsource;
firstinter... |
% table
% This script executes the commands use to run the examples in Table
ex = 'QP_ls';
certtags={'BSOS','SBSOS','SPUT'};
k=1;
id = [pwd,'/'];
jct = 0;
tt = zeros(4,4);
ts = zeros(4,4);
tg = zeros(4,4);
nn = zeros(4,4);
ng = zeros(4,4);
ict = 0;
fprintf('pat \t cl \t n \t nnvar \t fvar \t constr \t remconst \t rnk ... |
function yout = solve_nonlin(tspan, STATES, extra)
A = extra.A;
xN = extra.xN;
yN = extra.yN;
M_single = extra.M_single;
M_basal = extra.M_basal;
XATPase = extra.XATPase;
id_myo = find(A==0);
id_mit = find(A~=0);
num_myo = numel(id_myo);
num_mit = numel(id_mit);
id_myo_to_solve = sparse(num_... |
function [root,ea,iter]=secant(func,xrold,xr,es,maxit)
if nargin<3,error('at least 3 input arguments required'),end
if nargin<4|isempty(es),es=0.0001;end
if nargin<5|isempty(maxit),maxit=50;end
iter=0; ea=100;
while(1)
nxr=xr-func(xr)*(xrold-xr)/(func(xrold)-func(xr));
iter=iter+1;
if nxr~=0, ea=abs((nxr-xr)... |
N= 1843;
mu = 0.5;
sigma = 0.5./sqrt(N);
mx = makedist('Normal','mu',mu,'sigma',sigma);
P = 2. * cdf(mx,0.94.*mu)%La probabilidad |
clear all
close all
clc
format long
syms y t
L = 2; M = 1; n = 100; O = 1;
N = 4;
h = (2/N);
x = -1:h:1;
x1 = -1:0.01:1;
T = sym(zeros(N+2,1));
U = sym(zeros(N+1,1));
f1 = zeros(N+1,1);
f2 = f1;
T(1) = 1;
T(2) = y;
U(1) = 1;
U(2) = 2*y;
for j=1:N-1
T(j+2) = 2*y*T(j+1) - T(j);
U... |
%% Cut UDF
function [Master] = Cut(A,normstep)
Ax = [];
Ay = [];
Az = [];
%A = [ A(:,1) A(:,2) A];
for i = 1:length(A)-1
dist = sqrt((abs(A(i,1) - A(i+1,1)))^2 + (abs(A(i,2) - A(i+1,2)))^2 ...
+ (abs(A(i,3) - A(i+1,3)))^2);
num = dist/normstep;
Axx = linspace(A(... |
function [zl, cl] = Column(Layers, dep, c)
% Interpolate variable c onto equidistant depth.
% The input dep and c are cells of the same size, while the output
% zl and cl are long column vectors.
zl = [];
for m = 1 : Layers
if (isempty(zl) == 1)
zl = dep{m};
cl = c{m};
e... |
function [P] = initialize(data, maxClusters, sizePopulation, maxKMSIter)
%Initialize the population with k-means
[numObjects numFeatures] = size(data);
individual = struct( 'mean', NaN([maxClusters numFeatures]), ...
'covariance', repmat(squareformSymmetric(NaN(numFeatures))', maxClusters, 1), ...
'mixCoe... |
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% Gaussian Process Demo Script
% Demonstrates GP regression using the taco-pig toolbox on 2-D Data.
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%Add optimization folder
% p = pwd(); slash = p(1);
... |
% g_max (Angstrom^-1)
g = 12;
% STEM Pixel Size (Angstrom)
dx = 0.35;
% Size of STEM scan field (Angstrom)
scan_field = 20;
% Offset to account for probe size (Angstrom)
probe_size = 10;
%%%%%%%%%%%%%%%%%% Load multem default parameter %%%%%%%%%%%%%%%%%%%
input_multem = ilm_dflt_input_multem(); % Load defau... |
%applyStochasticSquaredErrorTwoLayerPerceptronMNIST Train the two-layer
%perceptron using the FEI dataset and evaluate its performance.
%Training Face database
% Load FEI dataset.
[inputValues, targetValues] = input_preprocess();
% Transform the labels to correct target values.
% Choose form of... |
clearvars
close all
I = imread('SquareCircle.png');
I_Filtered3x3 = imread('I_3x3MedianFiltered.png');
I_Filtered_Median = I;
Filtersize = 7; %Change the filtersize to better see the Edge Shift effect
[rows,cols] = size(I);
ctr = (Filtersize+1)/2;
Mean_Filter = ones(Filtersize,Filtersize)/(Filtersize^2);
for i = ... |
% demonstrate usage of regression
%
% Copyright (c) by Carl Edward Rasmussen and Hannes Nickisch 2010-07-21.
clear all, close all
%% SAY WHICH CODE WE WISH TO EXERCISE
id = [1,1]; % use Exact
% id = [1,2; 3,2; 4,2]; % compare Laplace
id = [1,3; 2,3; 3,3]; % compare EP
id = [1,4; 2,4; 3,4; 4,4]; % compare VB
seed = 19... |
function [out, vers] = RTBoxPorts(allPorts)
% [availPorts, vers]= RTBoxPorts(); % return available RTBox ports and vers
% [allPorts, vers]= RTBoxPorts(1); % all RTBox ports and vers (close if needed)
%
% [port, st]= RTBoxPorts(busyPorts);
% cell input If input is a cellstr, it will be treated as in-use RTBox ports.
%... |
% Example on Hopkins155 dataset
% Data obtained from: http://www.vision.jhu.edu/data/hopkins155/
%% Load Hopkins data
%subsample frames to simulate high-rank setting
load data/hopkins_1R2RC_truth.mat
s = size(x,2); %num data points
F = 6;
frames = floor(linspace(1,size(x,3)-1,F)); %even spacing between frames
n = 2*F;... |
classdef TuACore < TuSol
% TUACORE is a subclass object of TUSOL to perform several computations for retrieving
% and modifying game data. It stores relevant game information needed to draw the
% anti-core by overloading functions.
%
% Usage: clv = TuACore(v,'gtype','gformat')
%
% Define variables:
% output:
% clv ... |
function[offset_img,rects_struct] = generate_offset(In_cls_aug,seg_obj_aug)
% file_name=files_info(file_no).name;
rects_struct = struct('x_mins',[],'y_mins',[],'widths',[],'heights',[]);
uniq_vals=setdiff(unique(seg_obj_aug),[0,255]);
offset_img=zeros(size(In_cls_a... |
classdef F18DeoxyGlucoseFigures < mlkinetics.AbstractGlucoseFigures
%% F18DEOXYGLUCOSEFIGURES
% $Revision$
% was created 09-Apr-2017 04:11:18 by jjlee,
% last modified $LastChangedDate$ and placed into repository /Users/jjlee/Local/src/mlcvl/mlraichle/src/+mlraichle.
%% It was developed on Matlab 9.2.0.53... |
function [MPF,EMG_s,alpha,beta,theta,delta]=MPFEMG(EEG,EMG,hour)
samplerate_EEG=125;
samplerate_EMG=250;
window=16;
minute=60;
second=60;
fo=2;
fc=32;
window_length_EEG=samplerate_EEG*window;
window_length_EMG=samplerate_EMG*window;
fft_E=[];fft_M=[];
slide_time=floor(hour*minute*second/window)*2-1;
for i=1:slide... |
clear;clc;
% ------ 预处理,转换灰度图 ------ %
p1 = imread('ChinaLakeAirport.jpg');
p2 = imread('FarmhouseNearAlbuquerque.jpg');
gp1 = rgb2gray(p1);
gp2 = rgb2gray(p2);
gp1 = medfilt2(gp1);
gp2 = medfilt2(gp2);
% ------ Otsu算法分割 ------ %
level1 = graythresh(gp1);% 计算阈值
level2 = graythresh(gp2);
go1 = im2bw(gp1, leve... |
% performs the least squares regression on test data to determine a
% transfer function for commanded PWM -> velocity
clc; close all; clear
%% Load Data
% bring in the matlab data timeseries for a working encoder and the PWM
load('ID_rosbags/matFiles/speedID_1.mat');
PWM_ts1 = sig{10}; % motor PWM time series
encoder... |
function tracker_param = init_tracker(data_path, seq_name, start_frame)
%% particle filter parameters
pf_param = struct('affsig', [10,10,.004,.00,0.00,0], 'p_sz', 64,...
'p_num', 600, 'mv_thr', 0.1, 'up_thr', 0.35, 'roi_scale', 2);
%% check if sequence exists
seq_path = [data_path seq_name '/'];
if ~isdir(s... |
function p = bsigmoid(y);
% p = CSIGMOID(y)
% Multi-sigmoid function. This is the inverse to CLOGIT.
%
% Input: y is a real vector with n components.
%
% Output: p is an n-ary discrete probability distribution of which
% the n (positive) components sum to one.
e = exp(y);
s = sum(e);
for i=1:s... |
function show_neuroimaging(input_SN, input_CN, input_KN, output_SN, output_CN, output_KN, saim_type, tagged, simu_name)
%
% show_neuroimaging(input_SN, input_CN, input_KN, output_SN, output_CN, output_KN, saim_type, tagged, simu_name)
% plots figure 7 and 8 in Abadi et al.
%
% model: 1 = EM; 2 = PE
% tagged: 0 = ... |
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% Create the Offspring Population %
% by using the Mating Pool Population %
% ... |
% This manuscript generates flow from disparity for Sintel Dataset
function GenerateNewDatasetSintel(flow_fmt)
switch flow_fmt
case '.pfm'
write_flow = @write_pfm;
case '.flo'
write_flow = @write_flo;
otherwise
warning('Unexpected file format')
end
% sdk for read disparity
addpath... |
close all
clearvars
Img = imread('Noisy_checkboard.PNG');
Img = rgb2gray(im2double(Img));
Filtersize = 3;
Sigma = 1;
Threshold = 0.0001;
H_Threshold = 0.1;
L_Threshold = 0.005;
[rows,cols] = size(Img);
K = 0.05;
ctr = 2;
Corner = size(Img);
% Reduce noise by Gaussian filter
Gaussian = fspecial('gaussian',Filtersize... |
% Assingment2
% Na Cui
%
clear all; close all;
% read image
eyetrackerPic = imread('image2.png');
imshow(eyetrackerPic);
% read data file
fid = fopen('Copydata.txt');
%% ex=importdata('data.txt') % this function can see the format of file
data = fscanf(fid,'%f,%f,%f,%f',[4,inf]);
data = data';
fclos... |
%% Saved variable
load('sparsePrior.mat');
load('inputImage_128.mat');
load('retinaRender_m40.mat');
render = double(render_m40);
regParas = [1e-6, 1e-5, 1e-4, 5e-4, 1e-3, 5e-3, 1e-2, 5e-2, 0.1, 1];
outputImage = zeros([length(regParas), size(inputLinear)]);
%% Run reconstruction
for regIdx = 1:length(regParas)
... |
function powerSpectrumPlotSimple(data,sampleRate,tapers,fpass,err)
% example: powerSpectrumPlotSimple(data,10000,[2 3],[0.025 100],[2 0.05])
dt = 1/sampleRate;
params.Fs = 1/dt;
params.tapers = tapers;
params.fpass = fpass;
params.err = err; %use jack-knife resampling confidence intervals p = 0.05
% [Power, Hz, ... |
function data_mat = get_hog_feat_of_list(frm_list, im_size)
% Get data matrix of all images in FRM_LIST.
% Each image is format as a row vector of IMG_SIZE.
%
% DATA_MAT format: (n_frames, n_dim)
cellSize = 8;
hog_feat = get_hog_feat(frm_list{1}, cellSize, im_size);
vec_size = size(hog_feat(:),1);
n_fr... |
clc
clear all
close all
N=100; % numero de vetores de teste aleatorios
EW=8; % tamanho do expoente
FW=18; % tamanho da mantissa
% valores de entrada entre 0 e 1.0
floatxul = fopen('floatxul.txt','w');
floatxir = fopen('floatxir.txt','w');
binxul = fopen('xul.txt','w');
binxir = fopen('xir.txt','w');
... |
function varargout = NIU(varargin)
% NIU(NeuroImaging Utilities) MATLAB code for NIU.fig
% NIU, by itself, creates a new NIU or raises the existing
% singleton*.
%
% H = NIU returns the handle to a new NIU or the handle to
% the existing singleton*.
%
% NIU('CALLBACK',hObject,eventData,handles,... |
function W = compute_edge_energy(M,s,epsi, center_point)
% compute_edge_energy - compute an energy for fast marching.
%
% W = compute_edge_energy(M,s,epsi);
%
% W is the speed function for the front propagation
% (should be high in the area of strong gradient).
% The formula is :
%
% 1/W(x) = 1/(1 ... |
function [onoff] = get_onoff(subj_id, run, conn, do_cache)
% helper function to get screen on/off regressors in vgdl_create_multi
% copied & modified from get_visuals
% note run is a struct
%
if ~exist('do_cache', 'var')
do_cache = false;
end
% optionally cache
filename = full... |
% InitVolume - this will initialize the viewer with data necessary for loading volume textures.
% Viewer.InitVolume(ImageDims,PhysicalUnits)
% Image -- This should be a vector up to five elements indicating the volume size in the order (y,x,z,channel,time).
% PhysicalUnits -- A 3-element vector representing ... |
clear all ; close all ;
subs = {'lowcont_carmen','lowcont_lyndis','lowcont_mael','lowcont_lorne','lowcont_lyes','lowcont_greg','lowcont_angelina','lowcont_cesar','lowcont_charles','lowcont_alex','lowcont_janie','lowcont_russell','lowcont_anne'} ;
comps = {[3,4,12,19],[7],[15,21],[4,5,8],[4,11],[5,6],[8,12],[38,11],... |
function []=writeCSV()
roisNames= getROInames();
wd=pwd;
visPath=fullfile(wd,'CSV','roiNames-visRW.csv');
autoPath=fullfile(wd,'CSV','roiNames-autoRW.csv');
delete autoPath;
delete visPath;
viscsv = fopen(visPath,'w');
autocsv = fopen(autoPath,'w');
dicomPath=[wd,'/DICOM'];
fprintf(viscsv,"PatientID,ImagingScanName... |
function drawq(a,b,c)
x = [-100:1:100]
y = a * (x.^2) - (b .* x) + c
hold("on")
plot(x,y)
x = linspace(-200, 200, 200)
y = x.*0
plot(x,y)
x = x.*0
y = linspace(-20000, 20000, 200)
plot(x,y)
hold("off")
endfunction
drawq(2,-6,-4) |
clear;
load('Energy Generation of DDDF (Phi=0.8) calculated in 26-Feb-2014.mat');
n=9;
i=1;
e_opt_t=con_e_opt(i,:);
deltaP1_=deltaP1(i,:);
deltaP2_=deltaP2(i,:);
for j=1:n
e_opt_t2(j,:)=e_opt_t(1+(j-1)*n:n+(j-1)*n);
deltaP1_opt(j,:)=deltaP1_(1+(j-1)*n:n+(j-1)*n);
deltaP2_opt(j,:)=del... |
function [S,E] = hydrogen_modes(R,N1,N2,b,opts)
%HYDROGEN_MODES first four modes for hydrogen molecular ion H2+ in 2D
%
% [S,E] = HYDROGEN_MODES(R,N1,N2) returns separations constants S and
% electronic energy E for the first four modes 1sg+, 2pu+, 2sg+, and 2pu-
% from Table 1 and Table 2 (page 2201) in Patil, Hy... |
function [radar] = Xi_radar(radar)
Nr = radar.Rx;
Xi_r = zeros(Nr,1);
for nr = 1:Nr
alpha_nr = radar.alpha_r(nr);
W_rnr = radar.WMMSE_weights{nr,1};
E_rnr = radar.MMSE_nop{nr,1};
Xi_r_nr = alpha_nr*real(trace(W_rnr*E_rnr));
Xi_r(nr) = Xi_r_nr;
end
radar.Xi_r = Xi_r;
end
|
function [in1, in2, out1, out2, m, F] = ransac8pF(xy1, xy2, threshold)
number = size(xy1,2); % Total number of points
bestInNum = 0; % Best fitting F with largest number of inliers
F = eye(3); % parameters for best fitting line
xy1 = [xy1; ones(1, number)];
xy2 = [x... |
function [ ] = visualizeConfusionMatrix( mat,labels)
%VIUALIZECONFUSIONMATRIX Plot confusion matrix
%
% Author: I.Bogun (ibogun2010@my.fit.edu)
% Date : 03/07/2013
%mat=randn(2)/max(mat(:));
imagesc(mat); %# Create a colored plot of the matrix values
colormap(flipud(gray)); %# C... |
function [freqVals,psdST,psdBL,baseCorrectedLog10PSD, theta, RHO, stLFP, gammaSig, harmonicSig, gammaFreq, harmonicFreq, gammaAmp, harmonicAmp] = getPSDandPhase(highRMSElectrodes,folderLFP,goodPos,stPos,blPos,mt,Fs)
% PSD = 3D Array - (Freq, trialIndex, electrodeInd)
% RHO = 3D Array - (100, trialIndex, electrodeInd)
... |
function parfor_calc_esc_rev5_50rand_idx(app,temp_esc_idx,uni_esc_name_dpa,uni_dpa_index,cell_50_dpa_pts,reliability,confidence,radar_height,FreqMHz,path_loss_threshold,step_size,TerHandler,TerDirectory,array_rand_esc_idx)
%%%%%%%%Break the 50 and 95 into separate functions
%%%%%%This is 50
esc_i... |
%% Start code
figure(1)
[y, Fs] = audioread('GNR.m4a');
y = y.';
trgnr = length(y)/Fs; % record time in seconds
plot((1:length(y))/Fs,y);
xlabel('Time [sec]'); ylabel('Amplitude');
title('Sweet Child O''Mine');
%p8 = audioplayer(y,Fs); playblocking(p8);
%%
n = length(y);
L = trgnr;
t2 = linspace(0,L,n+1);
t = t2(1:n);... |
% clear all;
clc;
syms q1 q2 q3 q4 q5 q6 q7 dq1 dq2 dq3 dq4 dq5 dq6 dq7 g lT lf lt MT Mf Mt IT If It pMT pMf pMt pMua pMfa lua Mua ...
psh real Iua Mfa Ifa
q=[q1;q2;q3;q4;q5;q6;q7];
dq=[dq1; dq2; dq3;dq4;dq5;dq6;dq7];
g=9.8;lT=0.63;lf=0.4;lt=0.4;lua=0.25;lfa=0.25;
MT=12;Mf=6.8;Mt=3.2;Mua=1.36;Mfa=1;
IT=1.33;If=0.47... |
clear all;
file=('C:\Users\stefm\Downloads\Benchmarks\jump\eli_jump.avi');
source = VideoReader(file);
numberOfFrames = source.numberOfFrames;
dir = 'C:\Users\stefm\Desktop\23';
window1=2; %Filtering Windows
window2=2;
blobSize=300; %The Blobs minimum size to be written by the method
%-----------... |
function [p_e,p1,p2,p3,plane_hmat] = DFK3(q,config,Z_MAX_LENGTH)
%configuration
DELTA_ALPHA = config(:,1);
ROD_RADIUS = config(:,2);
ROD_LENGTH = config(:,3);
DELTA_ALPHA_A = DELTA_ALPHA(1);
DELTA_ALPHA_B = DELTA_ALPHA(2);
DELTA_ALPHA_C = DELTA_ALPHA(3);
ROD_RADIUS_A = ROD_RADIU... |
clear all
clc
[x,y,z]=peaks(40);
ind=x+y>2;
z(ind)=NaN;
mesh(x,y,z)
colorbar
view(70,54) |
function [G2,XY_new] = fix_graph_type_8_disconnection(G1,small_I_I_I_trielements_AR,XY)
% this function is to rectify, type 8 disconnections, i.e, I-I-I triple
% point type disconnections. The input graph is the input argument and the
% small_I_I_I_trielements. These are the trielements which are sorted out
% by s... |
%parallel coordinate fig
clear
mop.name='DTLZ2';
mop.obj_nums=10;
R='R9';
A=load(strcat('pf_solution/','PFs_',mop.name,'(',int2str(mop.obj_nums),')_',R,'.dat'));
xaxis=1:mop.obj_nums;
disp(xaxis);
%c=jet(length(A));
n='bgrcmykw';
for k=1:length(A)
disp(A(k,:));
% plot(xaxis,A(k,:),'Color',[rand(),0.5+0... |
function [ errmsg, chunksize, nfft, jump, window ] = chk_spectrogram_arg( argin )
% Messages d'erreur
error0 = [ 'SPECTROGRAM ERROR. Invalid number of arguments' ];
error1 = [ 'SPECTROGRAM ERROR. The number of samples for computing the fft must be greater or equal than the chunks size.' ];
error2 = [ 'SPECTROGRAM... |
% Tests for circuit_info
%% Test: lr_test_two_connected
[G, is_ext_node] = load_mrewiens('lr_test_two_connected');
info = circuit_info(G, is_ext_node);
assert(8 == info.num_nodes)
assert(4 == info.num_external)
assert(4 == info.num_internal)
assert(8 == info.num_resistors)
assert(2 == info.num_conn_components)
%% Tes... |
function [output1family, state_code, error] = ...
process_1family_secure...
(family_range, family_genotype, parameters, option)
error = 0;
output1family = [];
state_code = [];
[error] = check_1processedfamily(family_range);
if( error ~= 0 )
error = 1;
disp('error in family structures');
return;
... |
clear
close all
clc
nos = 1e3;
%% BAD sampling
theta = 2*pi*rand(nos,1);
phi = pi*rand(nos,1);
x = sin(phi).*cos(theta);
y = sin(phi).*sin(theta);
z = cos(phi);
figure
plot3(x,y,z,'.','MarkerSize',10)
%% Ok sampling
d=zeros(3,nos);
for kk=1:nos
v = randn(3,1);
d(:,kk) = v/norm(v);
end
figure
plot3(d(1,:),... |
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% Copyright 2010 - 2015 Moon Express, Inc.
% All Rights Reserved.
%
% PROPRIETARY DATA NOTICE:
% The data herein include Proprietary Data and are restricted under the
% Data Rights provisions of Lunar CATALYST Space Act Agreement
% No. SAAM ID#... |
results={};
for i=1:length(dists)
disp(dists(i));
results=[results;[dists{i} num2cell(M(dists{i})) ]];
end
results=results'; |
clear;
load ../data/city_train.mat
load ../data/city_test.mat
load ../data/word_train.mat
load ../data/word_test.mat
load ../data/bigram_train.mat
load ../data/bigram_test.mat
load ../data/price_train.mat
X_train =[city_train word_train bigram_train];
Y_train = price_train;
X_test = [city_test word_test bigram_test];
... |
function mmlintpd(mmluifac,value)
% Obtains interpolation factor
% and re-writes dwell x intpfact
% Called by mmgmm
% Value indicates calling routine
global mmlifact mmlifxd mmgdwelr;
mmlifact = 2^(get(mmluifac,'Value') -1) ;
% write dwell x intp & if value == 1
% color yellow
mmlifxdf(mmlifxd,mmlifact,mmgdwelr... |
function script_LJ( folder, openmm )
%LJ parameters
%This script gets the C6 and C12 terms used in the force field from the
%DDEC values and assigns them there atom type. This is where 0.5,0.5 or 1,1 LJ scaling is decided
% onefourscaling decides is the 1-4 LJ interaction should be scaled by 0.5
% as happens in the ... |
function [alpha,last]=stab(A,sigma)
iters=1000;
alpha=1;
tol=0.025;
k=10;
d=2;
I=eye(d);
last=1;
x=zeros(d,iters);
x_mean=zeros(d,iters);
x(:,1)=rand(d,1);
x(:,1)=x(:,1)/norm(x(:,1));
x_mean(:,1)=x(:,1);
errx(1)=norm(x(1))^2;
b=A*[1;1];
for i=2:iters
n=0.5*(rand-0.5);
At=A+sigma*(rand(d)-0.5);
x(:,i)=x(:,i-1)+alpha*(n+... |
%%% TESTES ESTIMADOR ESPARSO
clc
clear all
close all
set(0, 'defaultAxesFontSize',12);
set(0, 'defaultAxesFontName','times');
%Ddk = zeros(100,2000);
%fail = zeros(1,20);
for i=1:20
fail(i) = 10^(-i);
end
for w=1:length(fail)
%amort_vetor = ones(50)*amort(w); % Vetor de referência para amortecimento
% -... |
% mettre synchro OFF
n=1 ;
% les 4 tours (2 coups par tours)
dt=[13 13 13 -39];
%dt=[13 13 -26];
%dt=[13 -13];
% le meme tour 8 fois - reiterer 'run' pour changer de quart
% dt=[13 0 0 0];
% writeattribute('BOO/AE/dipole/current',545);
% writeattribute('BOO/AE/QF/current',201.7677);
% writeattribute('BOO/AE/Q... |
clear all;
pkg load image;
A1 = imread ('C:\Users\HP\Desktop\GoruntuIsleme\futbolcu.jpg');
A2 = rgb2hsv(A1);
sat=size(A2)(1);
sut=size(A2)(2);
D=rgb2gray(A1);
figure 1, imshow(D); title('Gri Resme dönüştürme');
im_edge = edge(D, 'sobel');
figure 2, imshow(im_edge); title('sobel');
%D = imcomplement(im_edge);
%figure... |
function S=mat2spss(M)
S=[];
[n,m]= size(M);
for k=1:m
x=[ones(n,1)*k,M(:,k)];
S=[S;x];
end
|
function samples = get_samples(X, nsamp)
[n, ~] = size(X);
ind0 = randperm(n);
ind0 = ind0(1:nsamp);
samples = X(ind0, :);
[ns, ds] = size(samples);
assert(ns == nsamp && ds == 2,'Output is wrong.') |
function [obj,obj_prime] = recover(obj,FEM,obj_prime,FEM_prime)
% analysis results
u_e = FEM.u(obj.gdof,:);
nm = size(u_e,2);
FEMCASE=FEM.CASE; % speeds up execution
if nargin < 3
% element kinetic energy
if FEMCASE.EKE && FEMCASE.SOL == 103
obj.eke= (pi*FEM.fHz).*diag(u_e.'*obj.me*u_e);
... |
clc
clear variables
close all
% Load from files and folders
faceFolder = '3D_Faces_Processed_Step2/';
fileType = '.obj';
folderContent = dir([faceFolder,'*',fileType]);
addpath('3D_Faces_Processed_Step2/');
% number of faces in the folder
nface = size (folderContent,1);
res = 100;
sel = 1;
lvSet = 0:... |
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