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function I = clipEnds(Istart,n,sniprange)
% I = clipEnds(Istart,n,sniprange)
% Eliminate spike times too close to endpoints
Ileft = find(Istart+sniprange(1) < 1); % Throw out spikes too close to endpoint
Iright = find(Istart+sniprange(2) > n);
%Ibad = union(Istart(Ileft),Istart(Iright));
%I = setdiff(Istart,Ibad);
left... |
% Author:Eduardo Alho
%Date:10/03/2017
%Refines segmentation based on luminescence Layer of the image
%the images that need to be refined have to be put on a new folder
%(root_dir) eg :
%'/Users/erichfonoff/Desktop/Eduardo_Alho/seg/segmentation_test/segmented/'
%thresh = threshold for segmentation. from 0 to 1 : eg 0.2... |
convert_file_encoding('VANDERPOL.m','myFileUTF8.m','ISO-8859-1','UTF-8') |
function node2dot(fid, i, lbl, props)
%NODE2DOT Print a node of a classification tree in dot format.
lbl = ['label="' lbl, '"'];
props = struct2str(props);
parts = {lbl, props};
parts = parts(cellfun(@(a) ~isempty(a), parts));
fprintf(fid, '\t%d[%s]\n', i, strjoin(parts, ', '));
end
|
function [tout, pos, vel] = simulate_rocket_simple(init_pos, init_vel, moon_pos, t)
% Author: Lyubomir Shoylev, lyubomir-shoylev@st-hildas.ox.ac.uk , Date: 15/12/2019
%
% NB: The calculation method is the simplest Euler method.
%
% Simulate the rocket trajectory with the earth and moon influence. The coordinate
% used ... |
% function SaveFabberAverages(setnum)
% Loads a set of FABBER datasets (beginning at number SEETNUM) and
% caluclates volume averages (mean and median) of chosen parameters.
%
% Based on FabberAverages.m
%
% MT Cherukara
% 21 March 2018
clear;
% close all;
% sets of variables
varnames = {... |
function lesionInsertion(reconImg,reconParams,SD)
% FILENAME: lesionInsertion.m
%
% Generate TOF lesion sinogram data with Poisson noise
%
% Input:
% reconImg: lesion image
% reconParams: reconParams structure defining reconstruction setting
% SD: Optional. Random number seed.
%
% Output:
% TOF lesion sinogram ... |
function varargout = fft_anal(varargin)
%FFT_ANAL Fourier analysis of time series
%
% Retrieves physical amplitudes and phases from
% a signal using FFT.
%
% [Struct] = fft_anal(x,t or Fs)
% [amplitudes,frequencies] = fft_anal(x,t or Fs)
% [amplitudes,frequencies,phases... |
function [Estimation] = qDBM(Sequences, Dico, References)
% Performed dictionary-based matching (DBM) estimation using
% a dictionary, see:
% [Boux, Bayesian inverse regression for vascular magnetic resonance
% fingerprinting, 2020]
% or original paper:
% [Ma, Magnetic resonance fingerprinting, 2013]
%
% Fabien Boux -... |
function [ET]=monthlyPET(radiation, tmax,tmin, wind,Lat,Z,albedo,vpd);
% Calculates potential evapotranspiration using Pennman-Montieth equation
% source: Allen et al. 1998
% Input: (radiation in MJ/m2/d), tmax,tmin in C, wind in m/s, month
% lasttmean is temperature difference from last month
% Lon, Lat, Z
% Uses fun... |
function Pruned_x_k=PruningAndMerging(x_k,T,U,J_max)
% Function used to Prune and Merge the updated state estimates x_k
%
% Inputs:
% x_k - Current updated state esimate at timestep k
% T - Truncation threshold
% U - Mergin... |
clc;
clear all;
im1 = imread('im3.jpg');
im2 = imread('im4.jpg');
im1 = imresize(im1,0.5);
im2 = imresize(im2,0.5);
a = [size(im1,1), size(im1,2)];
im2 = imresize(im2,a);
% [im1c, mu1] = k_mean_clustering(im1,5);
% [im2c, mu2] = k_mean_clustering(im2,5,mu1);
% r = im1c(:,:,1);
% figure(5);
% subplot(121);
% imshow(uin... |
function [signalPeaks, signalPeaksArray, signalSigmas, signalStruct] = computeSignalPeaks(signalMatrix, varargin)
% [signalPeaks, signalPeaksArray, signalSigmas] = computeSignalPeaks(signalMatrix, varargin)
%
% Binarize [0,1] input analog signals based on peaks in the signal.
%
% Biafra Ahanonu
% started: 2013.... |
function [N b] = computeNormals(X, Y, Z, superpixels, R)
% function [N b] = computeNormals(X, Y, Z, superpixels, R)
% Clip out a 2R+1 x 2R+1 window at each point and estimate the normal from points within this window. In case the window straddles more than a single superpixel, only take points in the same superpixel as... |
function makeFigures(SimValuesArray,indices,network,path,networknames,legendnames)
makeRaster(SimValuesArray,indices,[network '_Raster'],path,true);
%%
weightVals = WeightVals(SimValuesArray);
[dynamicVals,kvals] = AnalyzeDynamics(SimValuesArray);
currentVals = CurrentCorrelation(SimValuesArray);
for ww = 1:lengt... |
function [CompatibleBloc, p] = getCompatibleBloc(Grille, CompatibleLigne, i, n)
CompatibleBloc = zeros(n,9);
p = 1;
if(mod(i,3) == 1) % Si on est sur la premièr ligne d'un bloc...
CompatibleBloc = CompatibleLigne; % Pas besoin de test
p = n;
elseif(mod(i,3) == 2) % Si o... |
function [F, M] = controller(t, state, des_state, params)
%CONTROLLER Controller for the quadrotor
%
% state: The current state of the robot with the following fields:
% state.pos = [x; y; z], state.vel = [x_dot; y_dot; z_dot],
% state.rot = [phi; theta; psi], state.omega = [p; q; r]
%
% des_state: The desired... |
classdef Area < handle
properties
resolution
size
xx
yy
end
methods
function obj = Area(size,resolution)
obj.resolution = resolution;
obj.size = size;
[obj.xx,obj.yy] = meshgrid(0:obj.resolution:obj.size(1),0:obj.resolution:obj.size(2));
end
end
... |
clear;
% close all;
dataDir='~/Data/Audiovisual_motion';
xlist={'CSF' 'WM'};
xlist={'CSF' 'mid-GM' 'WM'};
cd(dataDir);
effect_list = [dir('200109MIG_GIN.goodtina/*.sft/layerProfile/stats.sm*_rbold.aud_vis_audvis.pc.layers3D_postT3Columns.1D'); ...
dir('200109MIG_GIN.goodtina/*.sft/layerProfil... |
%%predictTarget.m
%function predictTarget(user)
%% epoch 250-500m?
utildir = sprintf('%s/utilities',pwd);
path(path,utildir)
user = 'noon';
dataPlot = 3;
filePath = sprintf('signal//%s.mat',user);
load(filePath); %%data
%samplingRate = 512;
startEpoch = fix(0.65*512);
endEpoch = 0.88*512;
%subplot(2,1,1); %(xx,co... |
% Implemented by Woosung 2020.Jan.14th
% Complex Lenstra-Lenstra Lovasz Algorithm (CLLL)
function [Q, R, T] = Complex_LLL(Hp, delta)
%% Default Value
if nargin < 1
disp('[Message] Complex_LLL : Default set Hp, delta');
% Default value : nR = nT = nS = 4
Hp = 1/sqrt(4)*sqrt(1/2)*(randn(4... |
%Script to make scatter plots of mean baseline values compared between
%different traces
%Find files
basedir = '/ParentDirectory/ForAll/processedTraces/AfterBlasting';
[~, list] = system(sprintf('find "%s" -type f -name "processedTraces_*.mat"', basedir)); %Currently written for Unix, but can be done on Windows/Linux
... |
function [I] = light_intensity_Vector(p,I,A)
% Calculates the light intensity at all grid points with Beer-Lamberts law,
% using the trapezoidal method to compute the integrals.
% Assumes A is a matrix with the dimensions [p.Yn, p.Xn]
% returns a matrix I with dimensions [p.Yn, p.Xn]
for x = 1:p.Xn
% disp("x: "); ... |
function caxis_squeeze(fac);
if nargin==0
fac=-.1;
end
cax=caxis;
dcax=cax(2)-cax(1);
cax2=[cax(1)+fac*dcax cax(2)-fac*dcax];
caxis(cax2) |
function head_y_pos = head_y_pos(in1)
%HEAD_Y_POS
% HEAD_Y_POS = HEAD_Y_POS(IN1)
% This function was generated by the Symbolic Math Toolbox version 8.4.
% 12-Jun-2020 14:22:27
q1 = in1(:,1);
q2 = in1(:,2);
q3 = in1(:,3);
t2 = q1+q2;
head_y_pos = sin(q3+t2).*7.6014e-1+sin(q1).*4.5252e-1+sin(t2).*4.38012e-1;
|
%Gauss Seidel Algorithm
%x parameter = initial guesses
%lambda = relaxation parameter
function x = GaussSeidel(A, B, x, lambda, convergence)
error = 100;
iterations = 0;
%Iterate through values until error (et) meets convergence requirements
while(error > convergence)
prev = x;
... |
function [Users] = MaxDegree_Algorithm(Data,S_user)
%userhayi ke S_user ra tahte tasir gharar midahand
[user_list]=ShowRelatedUsers(S_user,Data);
%tedade kole Influence Users
top_k=size(user_list,2);
list_New=0;
%Entekhabe tasadofi users
max=0;
max_user=0;
fo... |
%define clusters
load('ws_Tucuma_1990_1997.mat', 'diffMapa')
h9097 = length(unique(diffMapa))%4 clusters
load('ws_Tucuma_1997_2000.mat', 'diffMapa')
h9700 = length(unique(diffMapa))%4 clusters
load('ws_Tucuma_2000_2011.mat', 'diffMapa')
h0011 = length(unique(diffMapa))%3 clusters
clear diffMapa
%% ExpectationMaximiz... |
% ## Copyright (C) 2017
% ##
% ## This program is free software; you can redistribute it and/or modify it
% ## under the terms of the GNU General Public License as published by
% ## the Free Software Foundation; either version 3 of the License, or
% ## (at your option) any later version.
% ##
% ## This program is di... |
function class = moments(sig1)
% t1 = 4.8;
X = [real(sig1(1:64)), imag(sig1(1:64))]; %considering first 100 points only
E = evalclusters(X,'linkage','silhouette','KList',[4,16]); % evaluating number of clusters using silhouette measure
%plot(E)
if E.... |
function status = metacentrum_testmodels(exp_id, exppath_short, func_str, dim_str, inst_str, ids_str, opts_str, dataset)
% metacentrum_testmodels Metacentrum version of testModels testing fitting
% power of models on DTS dataset. (Matlab part to be MCR-compiled)
% Function is called by modelTesting_binary_metajob.s... |
% This function performs systematic re-sampling
% Inputs:
% S_bar(t): 4XM
% Outputs:
% S(t): 4XM
function S = systematic_resample(S_bar)
global M % number of particles
% YOUR IMPLEMENTATION
CDF=cumsum(S_bar(4,:));
r0=rand()*(1/M);
S=zeros(4,M);
... |
%triplot.m plots vertices and triangles
%figure(2)
plot3(x(1:nv,1),x(1:nv,2),x(1:nv,3),'ko')
hold on
axis([-1.2 1.2 -1.2 1.2 -1.2 1.2])
axis equal manual
plot3(x(1:nv,1),x(1:nv,2),x(1:nv,3),'ko')
%ko means black circle
%Vertices are all plotted. We are left to plot lines that connect points.
xplot=zeros(4,3);
fo... |
function [fpic] = MakeFeaturePic(ftype, W, H)
fpic = zeros(H, W);
type = ftype(1);
x = ftype(2);
y = ftype(3);
w = ftype(4);
h = ftype(5);
yh = y + h;
y2h = y + h + h;
xw = x + w;
x2w = xw + w;
x3w = x2w + w;
switch type
case 1
fpic(y:yh-1, x... |
clear;clc;close all;
trainingFolder = '.\training\';
trainingROIFolder = '.\trainingROI\';
mkdir(trainingROIFolder);
nFiles = dir(trainingFolder);
for k = 1:length(nFiles)
if( ~strncmp(nFiles(k).name,'.',1) )
subNames = nFiles(k).name;
mkdir( [trainingROIFolder,subNames] )
nFi... |
function[] = RealAdaboost()
load('face_samples.mat');
load('nonface_samples1.mat');
load('nonface_samples2.mat');
load('nonface_samples3.mat');
load('threshold.mat');
load('threshold_sign.mat');
bins = linspace(min(threshold),max(threshold),19);
tr_data = [face_samples' ; nonface_samples1'; nonface_samples2'; nonfa... |
HOL = [4,4,4,4,4,4,4,4,4];
pack_sen = zeros(1,10);
U = unique(HOL);
counts = histc(HOL,U);
d = U(counts > 1);
%Lets find counts of each repeating element in the HOL position
for i=1:length(d)
out{i} = []; %Creating a dynamic arrays for each element that repeated
end
%out = zeros(length(d),length(HOL)); ... |
function [] = TumorTrainingandTesting(Normal,Tumor,Tumor1, HighResolutionImage, HighResolutionImage1,TESTHighResolutionImage,TESTMask)
%function [] = TumorTrainingandTesting(Normal,Tumor, HighResolutionImage, Normal1,Tumor1, HighResolutionImage1,TESTHighResolutionImage,TESTMask)
tic
HighResolutionImage=rgb2gray(Hi... |
gr = load('grid.txt');
traj = load('particle_trajectory.dna');
gridsize = 1;
len = size(gr,1);
figure()
hold on
%plot3(gr(:,1),gr(:,2),gr(:,3), '.r', 'linewidth', 5)
for i=1:len
if(gr(i,1) == 1)
p = (gr(i,3:2:7) + gr(i,2:2:6))./2;
w = (gr(i,3:2:7) - gr(i,2:2:6))./2;
plot3(p(... |
function movieslidergcf(src,eventdata,hSlider,hTxt,func_data,func_hdr,fmin,args,myfig,myRange,x,y,z,roi,func_xyz,spm_hdr)
% movieslidergcf.m - part of ortho package, callback executed when slider is moved.
% Author - Krisanne Litinas
% $Id: movieslidergcf.m 740 2013-07-31 14:13:15Z klitinas $
% Get the position of th... |
global TESTBED
s=sprintf('id : ');
for i=1:length(TESTBED.nodeIDs)
s=[s sprintf(' %2d ',TESTBED.nodeIDs(i))];
end
s=[s sprintf('\n')];
disp(s)
s=sprintf('ident : ');
for i=1:length(TESTBED.nodeIDs)
s=[s sprintf(' %2d ',TESTBED.identReported(i))];
end
s=[s sprintf('\n')];
disp(s)
s=sprin... |
function [state, location, values] = tracker_l1apg_update(state, image, varargin)
values = struct();
[gray, ~] = image_convert(image_create(image), 'gray');
%-Draw transformation samples from a Gaussian distribution
sc = sqrt(sum(state.map_aff(1:4).^2)/2);
std_aff = state.parameters.rel_std_afnv.*[1, sc, sc, 1, s... |
function joints_w_meta = combine_meta_with_joints(joint_matrices, meta_as_struct)
subj_names = fieldnames(joint_matrices);
no_of_subject = length(subj_names);
joints_w_meta = joint_matrices;
for subj = 1 : no_of_subject
joints_w_meta.(subj_names{subj}).meta = meta_as_struct.(subj_name... |
function [L,D,P] = LDLTpiv(A)
% function [L,D,P] = LDLTpiv(A)
% LDL-transpose factorization of a symmetric positive definite matrix
% with diagonal pivoting.
% A is nxn and symmetric and positive definite.
% L is nxn unit lower triangular, D is nxn diagonal, P is nxn permutation,
% and PAP' = LDL'.
% GVL... |
classdef NlpFunction < handle
% This class provides a data structure for a optimization function.
% This function could be either a constraint or a objective function of
% the problem.
%
% To define a NlpFunction object, a user-defined function file must be
% created first. It could be either MA... |
%load images
function image = loadImages(path, image)
% Note that Middlebury depth is in disparity units, so we load disparity
% and convert to depth. LiveColor+3D is in meters, so we load depth and
% convert to disparity. Disparity maps are not used for enhancement, but
% might be interesting for late... |
%% Set the stage
clear all
clc
N = 1200;
m = 10 ;
phi = zeros(m,m,N); % Automatically specifies some boundary conditions
% Boundary Conditions
% Solving on a unit square; phi(x,y) ; phi(x,1) = x^2 - 1 ;
% phi(0,y) = -y^2 ; phi(1,y) = 1 - y^2 ; phi(x,0) = x^2 ;
%
% specification of the boundary conditions
h = (1-0... |
function retval = SEICR_Pro (data, pin, t, array, NP)
lock_fun = @(t) g_lock(t,array);
ibd = [pin(1) pin(2) pin(4)];
eps = pin(6);
ag = [pin(3) pin(5)];
y = SEICR_Eval(NP,t,ibd,eps,ag,0,lock_fun);
y_min = SEICR_Eval(NP,t,ibd,eps-0.3*eps,ag,0,lock_fun);
y_max = SEICR_Eval(NP,t,ibd,eps+0.3*eps,ag,... |
function Crow = coriolis_row_4(rob,in2,in3)
%% CORIOLIS_ROW_4 - Computation of the robot specific Coriolis matrix row for joint 4 of 6.
% =========================================================================
%
% Crow = coriolis_row_4(rob,q,qd)
% Crow = rob.coriolis_row_4(q,qd)
%
% Description::
... |
# interface to mdsPlus thin client
mds_debug = 0;
function _system(cmd)
global mds_debug;
if (mds_debug > 0)
printf("system %s\n", cmd);
endif
system(cmd);
endfunction
function mdsConnect(server)
cmd = sprintf("mdsConnect %s", server);
_system(cmd);
endfunction
function mdsOpen(tree)
cmd = sprintf("mdsOpe... |
function [ output_args ] = matador_experiment_manager(directive, target_folder, target_host, ssh_key )
if(~exist('ssh_key','var')),ssh_key=default_ssh_key;end;
manager_script = prepend_path(dirname(mfilename('fullpath')),'matador_experiment_manager.sh');
if(islocalhost(target_host))
cmd = concat_cell_string_arra... |
function [t] = ethernet_write_mohammad(sig_i, sig_q)
display('Sending Data via ethernet')
t = tcpip('192.168.1.10', 7, 'NetworkRole', 'client');
fopen(t);
for i = 1 : length(sig_i)
fwrite(t, num2str(sig_i(i)));
pause(0.001)
fwrite(t, num2str(sig_q(i)));
pause(0.001)
e... |
function varargout = f_GrafMalla(varargin)
%Se asume que se está corriendo esta función con todos los directorios del programa agregado
%al path.
%Devuelve los argumentos de salida: in,m_Coord,m_SetElem,e_DatSet,e_VG.
%Está pensado para exportar la malla como eps y después editarla en corel... |
function V = verticalize(A)
A = reshape(A,[],1);
V=A(~isnan(A));
end |
function [B,E] = makeGroupBarPlotError(Y,err,cmap)
B = bar(Y);
hold on
x = [];
for i = 1:numel(B)
x(i,:) = B(i).XEndPoints;
B(i).FaceColor = cmap(i,:);
end
E = errorbar(x,Y',err');
for i = 1:numel(E)
E(i).LineStyle = 'none';
E(i).Color = 'k';
E(i).LineWidth = 1;
E(i).CapSize = 0;
end
|
function plot_contrast_dprimes()
load( 'master_file_struct', 'master_file_struct' );
mfs = master_file_struct;
contrast_dprime_struct = struct;
% Get set of attend d's for each unit, for each contrast. Should have a
% cell array? of X cell, each with 8 dir by 4 contrast. - One for
% Contr... |
%a y b son los individuos que se reciben como parametro
function [a, b] = one_point(a, b)
l = length(a);
r = ceil( rand * l );
i = r;
while ( i <= l )
aux = a(i);
a(i) = b(i);
b(i) = aux;
i = i + 1;
end
end
|
function frame_scores = all_frame_scores(test_sequence, dataset)
% function frame_scores = all_frame_scores(test_sequence, dataset)
%
% frame_scores{j}(i, m) is the normalized crosscorrelation score between
% the motion image computed for the i-th frame of the m-th model and the
% j-th frame of the test sequen... |
%use newton rapson method to find new density of component 1 at interface
del_den_err=1.d0;
den1_inter_old=den_interface_1(j);
pre_inter_old=1e5*system2.getPhase(0).getPressure();
% system_newton= SystemSrkEos(310.95,108.000);
% system_newton.addComponent('methane', den_interface_1(j-1)/1e5);
% system_newton.a... |
clc;
clear all;
comport = serial('COM5','BaudRate',115200);
fopen(comport);
x=0;
while(x<100)
x=x+1;
y1(x)=fscanf(comport, '%d');
y2(x)=fscanf(comport, '%d');
y3(x)=fscanf(comport, '%d');
plot(y1,'r','linewidth',1)
hold on;
plot(y2,'b','linewidth',1)
plot(y3,'g','linewidth',1)
hold off
drawnow
... |
classdef CLAN < instrument.CConnect
%CLAN 此处显示有关此类的摘要
% 此处显示详细说明
properties
% instObj;
% address;
end
methods
function obj = CLAN(address)
% obj.address = address;
% % Find a VISA-TCPIP object.
% obj.instObj = instr... |
classdef Diff < dagnn.ElementWise
properties
type
end
methods
function outputs = forward(obj, inputs, params)
outputs{1} = inputs{1} - inputs{2} ;
end
function [derInputs, derParams] = backward(obj, inputs, params, derOutputs)
derInputs{1} = derOutputs{1} ;
derInputs{2} = -... |
function [D] = qPHOG(I,edges,nbBin,ROI,level)
% I is gray scale image
%tic;
if edges
EDGES = edge(I,'canny');
else
EDGES = I;
end
hx = [-1,0,1];
hy = -hx';
grad_xr = imfilter(double(EDGES),hx);
grad_yu = imfilter(double(EDGES),hy);
angles=atan2(grad_yu,grad_xr);
magnit=((grad_yu.^2)+(grad_xr.^2)).^.5;
binEdg... |
%% This script is to evaluate the impact of flexiblity of interactive workload on the grid.
% The idea is, we can reduce the power consumption of data center by
% degrading the quality of service (such as delay) of serving interactive
% workload.
% Discription: Given flexibility of delaying interactive workload, how t... |
function PTPhaseN_prs2(obj, evt)
hndl = get(gcf, 'Userdata');
set(hndl.uicontrol.control.waveN, 'Enable', 'off');
set(hndl.uicontrol.control.FFTN, 'Enable', 'off');
set(hndl.uicontrol.control.coherenceN, 'Enable', 'off');
set(hndl.uicontrol.control.phaseN, 'Enable', 'off');
fin = dir(fullfile(hndl.gen... |
function [x_int,y_int] = Lagrange(x,y)
e = 0.1; % dokladnosc interpolacji
x_int = x(1) : e : x(length(x));
for i = 1 : 1 : length(x_int); % wyliczanie poszczegolnych y(x) = sum(Lk)
y_int(i) = 0;
for k = 1 : 1 : length(x); % wyliczanie poszczegolnych Lk
Lk = 1;
for j = 1 : 1... |
function [cor,vid]=ckeckFix(scr,const,my_key,vid)
% ----------------------------------------------------------------------
% [cor,vid]=ckeckFix(scr,const,my_key,vid)
% ----------------------------------------------------------------------
% Goal of the function :
% Draw a the fixation target (Green dot with bull-eye), ... |
%mydelete take an input of the file to delete the data from, the old data,
%and the name of the data you want to delete. It first makes sure that the
%fuel is not being used by any of the rockets, then it takes the fuel name
%and tries to find it in the old data array, if it finds it it deletes it,
%and replaces th... |
%--------------------------------------------------------------------------
%This functions determines the least cost path through our matrix of freqs
%
%Inputs:
%fmatrix - Matrix of the frequencies obtained from fmatrixpgram size(N by r)
% - The rth column of this matrix contain the N peaks in the Rth frame
... |
function z = my_obj_fun_Sustainability_CAISO_no_corr(x) %x is an nx1 vector of weights
%rho is the PJM correlation matrix derived from first stages of model
%in this function it is the identity matrix (no correlation between
%technologies)
% x will be a row vector of size specified in main function call
Rho... |
matlab2json(jso,'K:\EEG\Sleep_human\data.js','data')
html_create('K:\EEG\Sleep_human\index.html',{'data.js','home.js','info.js'});
% home.js: write for each file
%% demo 2, list and create html files
% 2019-06-12
|
n = 0:100;
x = 0.7.^n;
stem(n,x)
N=50;
k=0:N-1;
xp=1./(1-0.7*exp(-j*2*pi*k/N));
xpn=ifft(xp);
xpnp = [xpn xpn];
kk = 0 : 99;
hold
stem(kk,xpnp,'r') |
function append2niidesc(strFileNii,str2append)
% EXAMPLE
% strFileNii = 'run_01.nii';
% str2append = '_rtrcr'; % want to append '_rtrcr' to existing description
% append2niidesc(strFileNii,str2append)
% $Id: append2niidesc.m 1610 2014-11-18 21:11:32Z klitinas $
% Read header and make up new description
hdr = read_nii... |
path = 'D:\cue_task_data\converted\abao\cue\trainning\';`
years = ls( path );
years(1:2,:) = [];
for i = 1 : size(years,1)
months = ls( [ path, years(i,:) ] );
months(1:2,:) = [];
for j = 1 : size(months,1)
sc = Ana_SpatialCue( [ path, years(i,:), '\', months(j,:) ], [], [], true, true );
end
end
% fu... |
%%%%%%%%%%%%%%%%%%%%%%%%%%%%％％％％％％％%%%%%
% 対象：case26
% 焦点水平位置固定：y=0
% 境界面を検出→参照点の妥当性評価
% ch 50直下のピクセルにフォーカスをかける．
% 参照点：整相加算における参照点
% 比較する点：各chでのrf信号最大値(絶対値はとらない)
%誤検出が見られるが，反射強度を考慮して誤検出と判別できるようにする．
% フォーカス深度を１グリッドずつ変化させて，開口合成受信データを生成する．
% F値を固定する．最近接距離をいくつに設定する？
% x-axis: 20 mmのときに全素子を使うという前提を設ける．
% 対象にする媒質データ：case26を用... |
%{
# animal
subject_name : char(128) # unique subject name
---
genotype : enum('WT','KO','U') # genotype - KO, WT, or unclassifed
animal_notes = null : char(128) #
animal_ts=CURRENT_TIMESTAMP : timestamp #
... |
function my_phase()
IC = [1 1; 1 2;1 3;1 4];
hold on
for ii = 1:length(IC(:,1))
[~,X] = ode45(@EOM,[0 50],IC(ii,:));
u = X(:,1);
w = X(:,2);
plot(u,w,'r')
u = gradient(X(:,1));
v = gradient(X(:,2));
quiver(X(:,1),X(:,2),u,v);
end
xlabel('u')
ylabel('w')
grid
end |
%% Instruction
% Workflow:
% - Raw CSV->ThingSpeak CSV->Clear channel->Upload csv->Run app
% ThingSpeak CSV format requirements:
% - Datetime: 1/2/2017
% - field 1-7: store predictors and response. Test data are below Train data.
% - field 8: number of train observations, number of var names, and var names
%% Read dat... |
function g = NBS(x,y,d,N,lambda,k_opt,l_opt)
% x,y分别为方位、俯仰角，两者维度必须相同
% 保证输入的向量均为列向量
gx = diric(d*2*pi/lambda*(k_opt-x),N);
gy = diric(d*2*pi/lambda*(l_opt-y),N);
g = gx.*gy;
end |
function [gSWj, gBSj, SWparams, BSparams, DivRedPred] = composePredictedDiversity2( SWbase, SWgpos, BSbase, params, config, pos, EgMutDiv ) %, remote2closeDiv
% function [DivRedPred, sumeps] = composePredictedDiversity2( preLH, params, config, gpos )
% calculating the predicted reduction in diversity due to linked se... |
function [simValue] = similarity (x,l)
simValue = zeros(size(x,1));
m = size(x,1)
for i = 1:size(x,1)
simValue[i] = exp()
end
end
|
% Two-Mode HOSVD with semi-nonnegative constraint
% Input:
% Tensor: an order-3 tensor
% Ncomp: number of components to extract
% Output:
% output_vector_X: a matrix with Ncomp columns, where each column is an estimated singular vector in the X-mode.
% output_vector_Y: a matrix with Ncomp columns, where each c... |
function [mu, var, time] = gprExact(K, Ks, Kss, y, hyp)
tic
[n,~]=size(K); [ns, ~] = size(Kss);
sn2 = exp(2*hyp.lik);
L = chol(K/sn2+eye(n)); % Cholesky factor of covariance with noise
clear K %KRZ
alpha = solve_chol(L,y)/sn2;
% nlZ = y'*alpha/2 + sum(log(diag(L))) + n*log(2*pi*sn2)/2; % -log marg li... |
%Author: REDJAN F. SHABANI
%Universita' degli studi di Roma "LA SAPIENZA"
%Ingegneria Informatica - Intelligenza Artificiale
%Version: Gen. 2010
%Returns three weights matrix for each layer of the network.
%-->input m, input size of the network
%-->input n, output size of the network
%-->input h, number of network hi... |
% Calculate confidence interval of GC.
% only suitable for nGrangerT series functions(use same fitting order
% in auto and joint regression).
function [gc_lower, gc_upper] = gc_prob_intv(gc, od, len, a)
if nargin<3
disp(' Calculate confidence interval of GC.');
usage('[gc_lower, gc_upper] = gc_prob_intv(gc, od, l... |
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% This is code written by Leon Yin for an assignment in Olivier Pauluis' %
% Atmosphere, Ocean, and Climate Dynamics course taught at Courant %
% Institute of Mathematics. %
% ... |
function [xy,p] = r(x,y,outlier)
% computes a zero order correlation
% useage: r(x,y,outlier)
% where trials with outlier=1 are filtered out
if nargin==3
indices=find(~outlier);
xy=corrcoef(x(indices),y(indices));
else
xy=corrcoef(x,y);
end
xy=xy(1,2);
if nargout>1
df=length(x)-2;
t=xy./... |
%=========Initial=========
% Set up everything for simulation: abstraction system, controller
% Ground Type 2: uneven ground, no holes
% No change of robot model. Map the real input to the input used in
% model
% Make sure that the input constraints satifies by shrinking lmax
% decouple the lmax and the maximum length ... |
% Capture contact positions after co-registration and convert to RAS
function [CentroidCoord,RASCoord,electrode_identity,test] = CC_VoxToRAS(subj,Torig,imageFile,varargin)
subj_dir = '/space/mdeh7/1/halgdev/projects/bqrosen/CC/RECON';
% subj = 'CCEP0026';
cmd = sprintf('mri_info --vox2ras-tkr %s/%s/mri/orig.mgz',subj_d... |
function segmentation_test()
A = zeros(500,500);
A(200:250,100:300) = 1;
A(50:100,70:100) = 2;
imagesc(logical(A))
pause(5);
BW2 = bwselect(logical(A),150+101,200);
imagesc(BW2)
end
|
clear; clc;
p = [0.01:0.01:0.099, 1:0.02:2, 2.1:0.1:10, 11:1:100];
fi = 0 : pi/100 : 2*pi;
teta = -pi/2 : pi/100 : pi/2;
x_0 = zeros(size(fi,2),size(teta,2));
y_0 = x_0;
z_0 = x_0;
po = ones(1,size(fi,2));
x = x_0;
y = y_0;
z = z_0;
x_0 = cos(fi)'*cos(teta);
y_0 = sin(fi)'*cos(teta);
z_0 = po'*sin(teta);
for i = ... |
% de-mean
mm = mean(single(mat_x),2);
mat_x = bsxfun(@minus,single(mat_x),mm);
save ../data/train/ucb_st_15_dc.mat mat_x mat_y
% four direction
psz = 15;
ind0 = reshape(1:psz^2*3,[psz psz 3]);
ind1=ind0;ind2=ind0;ind3=ind0;
for i=1:3
ind1(:,:,i) = rot90(ind0(:,:,i));
ind2(:,:,i) = rot90(ind1(:,:,i));
ind... |
% Problem8
dt = 1/100;
et = 4;
t = 0:dt:et;
x = 2*sin(2*2*pi*t);
subplot(2,1,1);plot(t,x);grid on
axis([0 et -2 2]);
xlabel('Time(s)');
ylabel('X');
[f,s] = ft(t,x);
S = abs(s);
subplot(2,1,2);
plot(f,S);grid on
axis([-10 10 0 10]);
xlabel('Frequency(Hz)');
ylabel('Amplitude'); |
%% LINEARIZING STATE SPACE MODEL %%
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% Setting the variables with the same values of the first Homework
% conditions.
s = 0.0154 ; % Section Area
sp = 5*10^(-5); % Pipe Section Area
mi = 0.5; % Flow Constant
mi2 = 0.675; % Flow Constant
qmax = 1.2*10^(-4);... |
function printMagReportMsg_MagLightTrail(address, message, connectionName)
% Because MagReportMsgs report very quickly, you may get a steady stream of
% reports if your threshold is set too low. MAGLIGHT.ReportMsgFlag is a
% flag to shut of message reports while you tune the report threshold
global APPS;
if (isfield... |
function [bincenters,averages,errors]=bincumulativeopen(x,y,min,max,oversamplingratio,nbins)
binwidth=(max-min)/nbins;
binedges=linspace(min,max,nbins+1);
bincenters=min+binwidth/2:binwidth:max-binwidth/2;
averages=NaN(1,nbins);
errors=NaN(1,nbins);
if nargin==6
for i=1:nbins
averages(i)=nanmean(y(x>bined... |
clc;
AREA_SIZE = 100;
TOTAL_AGENTS = 1000;
RATIO = [0.99; 0.01; 0];
INITIAL_SUSCEPTIBLE = TOTAL_AGENTS*RATIO(1);
INITIAL_INFECTED = TOTAL_AGENTS*RATIO(2);
INITIAL_RESISTANT = TOTAL_AGENTS*RATIO(3);
INFECTION_RATE = 0.1:0.1:1;
MOVEMENT_RATE = 0.3; % Refered to as d
NUM_TRIALS = 10;
RATIO_STEPS = 1:10:151;
statisti... |
startFrame = 230;
endFrame = 500;
numFrames = endFrame - startFrame + 1;
imHeight = 180;
imWidth = 320;
binImgThreshold = 0.35;
% places all the images into a nice array
ims = cell(numFrames, 1);
i=1;
for f = startFrame:endFrame
imName = strcat('imgs2/',int2str(f),'.png');
ims{i} = im2double(imread(imName))... |
%{
This script allows me to choose the folder where my data is and then it
will create a directory and extract the abf files, organizing everything
into a matlab structure that is organized by filename and sweeps.
Although I could, I didn't use this data in matlab to calculate the DSE. I
had already done that in clamp... |
%% ~~~~ intermediate step in calculating Geweke's ML ~~~~ %%
%% ~~~~ calculate f_i(chi) ~~~~ %%
function rt = GewekeMHML(chirow,chihat,logsighatmode,lambda,n)
secorder = (chirow-chihat)'*inv(logsighatmode)*(chirow-chihat);
rt = (2*pi)^(-n/2)*det(logsighatmode)^(-1/2)*exp(-1/2*secorder)* ...
(secorder <=... |
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