text stringlengths 8 6.12M |
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function makeTuples( obj, key )
key = rmfield(key,'stim_idx');
[imrz, wrf, matrix] = fetch1(StatsImagesParams(key),'imresize','wrf','matrix');
if strcmp(wrf,'yes')
% get traces of all neurons of a site and fps
if ~isempty(RFFit(key))
[snr, gfit] = fetchn(RFFit(key),'snr','gauss_fit');
else
... |
function result=my_funct_2(a,b,c,x)
result=a*x^2+b*x+c;
%代入(a,b,c,x)可得答案
%以上是函數你知道的 |
global saveProcess
saveProcess = false;
PD_classification_offset;
saveProcess = true;
close all
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% Training Online Classifier %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
classifier = build_classifier_online(training,...
'nbFeatures2Select',params.params_classifie... |
classdef CNN < handle & NetworkLayer
%Convolutional Neural Network based on Mathworks's default filter2
%-------------------
%TODO: larger stride?
%-------------------
%input is width*height*num_channels*num_data
%output is width*height*numunits*num_data
properties
ws;
numunits;
... |
function varargout = astar_jw(varargin)
% astar_jw - A* implementation by Jeremy Wurbs
%
% This function is an implementation of the A star algorithm. It is meant
% to be an implementation resource for you when trying to learn the A*
% algorithm. To help you dissect this function, you can call astar_jw
% without arg... |
% % XXXXXXXXXXXXXXXXXXXXXXXXXXX sus_determine_new_mf_no XXXXXXXXXXXXXXXXXXXXX
% %
% % Author : Susanti
% % Date : Aug 1 2014
% % Function :
% % Syntax : sus_determine_new_mf_no(data_struct, data_value)
% %
% % Algorithm -
% % XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX... |
% This code solves the model of Graham and Wright (2010, JME)
% Using two equation system:
% c_{t} -E_{it} [c_{t+1} - (1-beta*(1-delta))*r_{kt+1}] = 0
% r_{kt} = (Pa(z)/Q(z))*a_t + (Pc(z)/Q(z))*c_t
% Solve for Full Information Equilibrium (only aggregate part, with
% aggregate TFP shock)
% Use Algorithm 3 based on E... |
% File: ExternalTrigger.m @ ExternalTrigger
% Author: Urs Hofmann
% Mail: hofmannu@biomed.ee.ethz.ch
% Date: 26.05.2020
% Description: defines the structure of an external trigger
% TODO: check all sets for correct values before passing them on to class
classdef ExternalTrigger < handle
properties
extMode(1, 1) ... |
% 2.1 dogrusal spline yontemi
%
% ex: 4 noktamiz olsun: P1, P2, P3, P4
%
% P1(x1,y1) --- P2(x2,y2) --- P3(x3,y3) --- P4(x4,y4) birlestirirsek ve
%
% P1 ve P2 aras?ndaki dogruyu f1=ax+b
% P2 ve P3 aras?ndaki dogruyu f2=cx+d
% P3 ve P4 aras?ndaki dogruyu f3=ex+f
%
% varsayarsak, ortaya 6 tane denklem cika... |
% a nice way to do transformations
clear; clc;
P = [0,1,1,0;0,0,1,1];
A = [1,1;0,1];
Ptran = A*P; % make a transformation of P with A
subplot(1,2,1);
fill(P(1,:),P(2,:),'red');
axis([-3 3 -3 3]); axis square
subplot(1,2,2);
fill(Ptran(1,:),Ptran(2,:),'green');
axis([-3 3 -3 3]); axis square |
dirlist = dir('/Users/Pranav/Desktop/dicomimages/*.dcm');
X = length(dirlist);
pause_time = 2
for i = 1:X
Y = dicomread(strcat('/Users/Pranav/Desktop/dicomimages/',(dirlist(i).name)));
fprintf(dirlist(i).name);
disp(' ')
Av = mean2(Y)
max(Y(:))
min(Y(:))
disp(' ')
disp(Av)
SD = std2(... |
function [ l_corr ] = prepare_vmode(labels,label_id )
%returns the label correlations
[n_ids,n_labels] = size(labels);
o_labels = setdiff(1:n_labels,label_id);
%o_labels = 1:n_labels;
l_corr = labels(:,o_labels);
end
|
function varargout = ToArray(boldData, dataStr)
%TOARRAY - Pull numeric data arrays from a BOLD data object.
% This function converts a BOLD data object to a numeric array by returning specific data sets that it pulls out of
% the object. It is intended for use as a shortcut alternative to constantly dot-indexing t... |
function plotrbezier(B,w,t)
%narišemo poligon
plot(B(:,1),B(:,2),'-o');
axis equal
hold on
%narišemo krivuljo
%dobljenje točke na krivulji
D = rbezier(B,w,t);
plot(D(:,1),D(:,2));
hold on
%Farinove točke
[n,d]=size(B);
q= zeros(n-1,d);
for i=1:(n-1)
q(i,:) = w(i)/(w(i)+w(i+1)) * B(i,:) + w(i+1)/(w(i)+w(i+1))*B(... |
function v = space(xy)
% xy is size [ns, 2]
% returns squared distance matrix, size [ns, ns]
v = squareform(pdist(xy, 'euclidean')).^2;
end
|
function [P] = deim(U)
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% Routine: Discrete Empirical Interpolation Method (DEIM)
% Input: U = orthonormal basis
% Output: P = index matrix
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
P = zeros(size(U));
[~,in... |
function [ u_d, time ] = locregp( N, n, alpha, sn, bigt, t, A, bmat, f_d, c, number )
%LOCREG_P 2D local regularization with Poisson or mixed noise
% N = 256;
% n = 4;
% % Slightly smaller than this, probably
% alpha = 0.000015;
% ell = 1;
%
% u = 10*rectangularHump(N,0.2,0.8) + 220*rectangularHump(N,0.22,0.... |
function [ output_args ] = Promedio( input_args )
%Promedio de una imagen
% Programa que lee 4 imagenes especificas, una sin turbulencias y 3 con
% distintos niveles de turbulencia. Sacaremos promedio de nuestras 3
% imagenes turbulentas para comparar la eficacia de un promedio entre
% estas para disminuir esta... |
function obj = modelSaveImgToFile(obj,saveFile,thisFigName,thisFigNo,thisFileID,varargin)
% Saves the current open figure to a file.
% Biafra Ahanonu
% branched from controllerAnalysis: 2014.08.01 [16:09:16]
% inputs
%
% outputs
%
% changelog
% 2021.08.10 [09:57:36] - Updated to handle CIAtah v4.0 switch t... |
function fusion_map = updateFusionMapWithProjMap(fusion_map, updated_map, h, w, proj_flag)
%==== TODO: Merge the updated map with the remaining part of the old fusion map ====
% Write your code here...
fov_idxs = proj_flag;
update_pts_flat = reshape( permute(updated_map.points,[3 2 1]), 3, h*... |
function Solar_Intensity(imgFile, outfile, lightIntensity)
im_out = imread(imgFile);
% Take the complement of the image
im_out = imcomplement(im_out);
% Convert to gray
im_out = rgb2gray(im_out);
% Create and save the colormap to outfile
f = figure('visible','off','PaperPositionMode','auto');
%imshow(im_out, 'Border','... |
function z=zad1_redlich_kwong_2mix_mixrule(p,t,pc1,tc1,pc2,tc2,x1,x2)
%t=temperatura [K], p=ciśnienie [Pa]
r=8.3144;u=1;w=0;
%
a1=0.42748*r^2*tc1^2.5/pc1/t^0.5;
b1=0.0866*r*tc1/pc1;
%
a2=0.42748*r^2*tc2^2.5/pc2/t^0.5;
b2=0.0866*r*tc2/pc2;
%
a=(x1.*sqrt(a1)+x2.*sqrt(a2)).^2;
b=x1.*b1+x2.*b2;
%
A=a.*... |
function[xk, times] = reconst(DFT_coef, N, fs)
DFT_Nlength = zeros(N/2+1,1);
DFT_Nlength(1:length(DFT_coef)) = DFT_coef;
[xk, times] = comp_iDFT(DFT_Nlength, fs);
end |
function [new_results,new_archs] = merge_results(archs1,results1,archs2,results2)
new_archs = [archs1;archs2];
names = fieldnames(results1);
new_results = results1;
for i = 1:length(names)
values1 = getfield(results1,names{i});
values2 = getfield(results2,names{i});
setfield(new_results,names{i},[values1;va... |
function [fitobj, f, dfdx, fp] = fit_hyperbolic(Xin, Yin)
% FIT_HYPERBOLIC computes the parameters of the hyperbolic function that
% fits the input data
% [FITOBJ F DFDX FP] = FIT_HYPERBOLIC(XIN,YIN) takes the independenet
% variable vector XIN and the dependent variable vector YIN and computes
% the parameters of a h... |
function M = npend_alphas_Lagrange_M_3(in1,in2,in3,g,in5,in6,in7)
%NPEND_ALPHAS_LAGRANGE_M_3
% M = NPEND_ALPHAS_LAGRANGE_M_3(IN1,IN2,IN3,G,IN5,IN6,IN7)
% This function was generated by the Symbolic Math Toolbox version 8.1.
% 05-Dec-2018 15:52:12
I1 = in1(1,:);
I2 = in1(2,:);
I3 = in1(3,:);
L1 = in2(1,:);
L2... |
function Y = generateY(n, table, ground)
% n is number of nodes
% table is the matrix yij
% ground is the admittance to ground vector
% Y_ij = -yij if i != j
% Else = yi + sum
admit = generateAdmittance(n, table);
Y = zeros(n,n);
for i = 1:n
for j = 1:n
if i == j % if o... |
%LABWHEEL A set of colors from a circle in CIELAB color space
% RGB = CLAB_WHEEL(N,L) finds a set of N colors equally spaced in
% CIELAB space in a circle using CIELCHab co-ordinates. The circle is
% taken anti-clockwise with constant lightness of L, and contant chroma
% which is the maximum possible such that ... |
%TASK 1 Regression
% Importing Data
X = concretedata_x; %Features for Extraction
Y = concretedata_y ; %Target Vector
%Visualising the Data
%Refrence https://www.mathworks.com/help/matlab/titles-and-labels.html
figure,boxplot(X,'Notch','on','Labels',{'Cement (component 1)',...
'Blast Furnace Slag (com... |
function semlogx2(x,y,s)
if (nargin<3) s='y'; end
maxgrid=150;
nticks=9;
stdoct=[100 200 500 1000 2000 5000 10000 20000 50000];
%minstdoct=min(stdoct);
%maxstdoct=max(stdoct);
maxx=max(x);
minx=min(x);
if (minx == 0)
minx=x(2);
n_grid=maxgrid-1;
else
n_grid=maxgrid;
end;
%if (minx == ... |
function get_current=E4P_Conv2double(OBJ)
objClass=class(OBJ);%get the class of the object [char]
switch objClass
case {'char'}%in case type 'str' or 'char'
get_current=str2num(OBJ);
case {'cell'}%in case of cell array
if ischar(OBJ{1,1})
get_current=str2num(OBJ{1,1});
else
... |
function [MODE,FRQ,TMM,XX,YY,ZZ,KAKOM]=MAIN(FRQ0,NEIG)
% DYNAMIC PROBLEM OF 3-DIMENSIONAL BEAM STRUCTURE
% ++++++++++ data input ++++++++++++++++++
% [XX,YY,ZZ,KAKOM,NFREE,TEISUU,KOTEI]=DATAIN4;
[XX,YY,ZZ,KAKOM,NFREE,TEISUU,KOTEI]=DATAIN3;
NELT=size(KAKOM,1);NODT=size(XX,1);
if NODT==1
NODT=size(XX,2);
else... |
%% General Time Series Plotting Script - separate plots version
% This script can be used to generate a variety of time series plots
% This version creates two separate plots for sequential date and DOY
% Can also turn on histogram plot and save (end of script)
% Author: Valerie Pasquarella
%% SET code directories
%... |
function analyzeDataBySubjectName(subjectName)
%function analyzeDataBySubjectName(subjectName)
%
% Example: analyzeDataBySubjectName('CNSU_0001')
% This function analyzes the data collected for a subject.
% The subject information is recovered from 'subjectName.mat' in the folder
% /Users/vijaysingh/Dropbox (Aguirre-Br... |
% original data folder
hrdir = '/scratch/mfr/DIV2K/DIV2K_train_HR/';
% configuration
p = 128;
% stride
stride = 16;
fnum = 1;
files = dir([hrdir '/' '*.png']);
savedir = 'train';
% 3 channels
h5create([savedir '/hr.h5'], '/data', [p p 3 Inf], 'Datatype', 'single', 'ChunkSize', [p p 3 1]);
for k = 1:length(files)
... |
function [ FM ] = Focus(i,vid)
%UNTITLED Summary of this function goes here
% Detailed explanation goes here
%vid = videoinput('pointgrey', 1, 'F7_Mono8_808x608_Mode0');
%src = getselectedsource(vid);
%vid.FramesPerTrigger = 1;
%preview(vid);
I = getsnapshot(vid);%rgb2gray(imread('Capture1.jpg'));
%imshow(I);
FM = f... |
%% Gets all histogram data from all files
set(0, 'defaultTextInterpreter', 'LaTeX')
set(0, 'defaultLineLineWidth', 4)
set(0, 'defaultLegendInterpreter', 'LaTeX')
addpath ~/bbtools/automate/matlab;
ROOT_DIR = cd('~/scratch/triply_per');
% Read in file starting and ending times
% ignore 500-4
% 1500-4,5
% ... |
function detail = selfCreateData(StockCode,BeginDate,EndDate)
s=datenum(BeginDate,'yyyymmdd');
e=datenum(EndDate,'yyyymmdd');
T=datestr((s:1:e)','yyyymmdd');
detail=[];
for i =1:size(T,1)
detail = [detail ;GetStockTick_Web(StockCode,T(i,:))];
end
|
function X_out = tmprod(X,U,mode)
%TMPROD mode-n tensor-matrix product.
[I,J,K]=size(X);
[M,N]=size(U);
if (mode~=1) && (mode~=2) && (mode~=3)
error('The input variable mode should be 1, 2 or 3')
end
if N~=size(X,mode)
error(['The number of columns of the input matrix should be equal to dimension ',int2str(mod... |
% Static force analysis of 3-bar non-minimal tensigrity prism (Fig 3.43 of Skelton & de Oliviera 2009)
% By Shuhang Zhang, UC San Diego student 2019.
clear; clf; clc; figure(1);
% Free [Q=Q_(dim x q)] and fixed [P=P_(dim x p)] node locations
a = 1; h = 3; Alpha = pi/6;
Q(:,1)=a*[ -1; 0; 0];
Q(:,2)=a*[ cos(pi/3); sin(... |
%function signs = firstTry(I)
clear;
close all;
%%
validationSet = [1 3 5 7 9 11 13 15 17 19 21 23 25 27 29 31 33 35 37 39 41 43 45 47 49 51 53 55 57 59 61 63 65 67];
%validationSet = [39 41 43 45 47 49 51 53 55 57 59 61 63 65 67];
%validationSet = [1];
%
for N = 1:length(validationSet)
% Current sign id
nSi... |
classdef SelectiveSearchSegmentation < handle
%SELECTIVESEARCHSEGMENTATION Selective search segmentation algorithm
%
% The class implements the algorithm described in [uijlings2013selective].
%
% ## References
% [uijlings2013selective]:
% > Jasper RR Uijlings, Koen EA van de Sande, Theo Gev... |
classdef OptStructureTools
methods
function obj = OptStructureTools()
end
end
end
|
function filter_upd=retro_update_local_before_ko(filter_retro,filter_upd,Nhyp_i,p_d,H,R,z,i,gating_threshold,Nx,Nz,ko,Lscan)
%Local hypotheses update for OOS measurement update. Case
%non-present/present, when the time of birth corresponds to ko
%Author: Angel Garcia-Fernandez
p_s1=filter_retro.p_s1;
t_bi=filte... |
function allmode2=feemd_post_pro(Y,Nstd,NE,numImf,runCEEMD,maxSift,typeSpline,toModifyBC,randType,seedNo,checksignal)
% Post-processing of fast EMD/EEMD/CEEMD code
% Author : Yi-Hao Su, IANCU
[imf] = eemd(Y,Nstd,NE,numImf,runCEEMD,maxSift,typeSpline,toModifyBC,randType,seedNo,checksignal);
allmode = imf';
xsi... |
#Exemplo aula 27-08
#rand(2,12) gera uma matriz com 2 linha e 12 colunas
#rand gera apenas valores entre 0 e 1
#para ter uma rand entre [10,13] basta 3* rand(2,12) + 10;
Nexp = 1e6;
X = rand(1, Nexp);
# de -0.1 a 1.1 com passo 0.1
xbins = -0.1:0.01:1.1;
histograma_X = hist(X,xbins);
pdf_x_simul = histograma_X / t... |
function [D,Ddiod] = LBCN_convert_NKnew(fname, path_save,downsample,exclude)
% Function to convert NK data from edf to SPM format.
% Inputs:
% - fname: name of file to convert. if empty, a selection window opens.
% - path_save: path to save the new file. if empty, same path as file.
% - downsample: 1 to downsample dat... |
function [ec, Vc] = VWN(p, n)
A = 0.0310907; % Eh
if n == 3
b = 13.0720;
c = 42.7198;
x0 = -0.409286;
elseif n == 5
b = 3.72744;
c = 12.9352;
x0 = -0.10498;
end
x = (3/(4*pi*p))^(1/6);
xi_x = x^2 + b*x + c;
xi_x0 = x0^2 + b*x0 + c;
Q = sqrt(4*c - b^2);
eta = atan(Q/(2*x+b));
if p < 1e-15
e... |
function plotpoints(w,X)
xl = min(X(:,2)):0.1:max(X(:,2));
yl = -(w(2)*xl+w(1))/w(3);
|
function scans_to_process = LONG_extractVolumes( scans_to_process,scantype )
%LONG_extractVolumes - extract WM/GM/CSF/TIV and add to scans_to_process
%structure
%
% Syntax: scans_to_process = LONG_extractVolumes( scans_to_process,scantype )
%
% Inputs: scans_to_process - array of objects of class LONG_participant,
%... |
function [VmMat, KeqMat] = genKineticParamsLin( AdjMat, DistrType, DistrParam )
%genKineticParamsLin generates kinetic parameter matrix for network of
%linear reactions
%
% VmMat = genKineticParamsLin( AdjMat, DistrType, DistrParam ) takes the adjacency
% matrix AdjMat of metabolites and generates the matrix of corres... |
function c = get_bad_days()
c = {'day__05172016', 'day__05192016', 'day__02142017'};
end |
function [trainData, validData] = sampling(data, p, type)
trainData.header = data.header;
validData.header = data.header;
if type == "random"
N = size(data.x,1);
n = floor(N*p);
i = randperm(N,N);
train_i = i(1:n);
test_i = i((n+1):N);
... |
function A_k = cerinta1(image, k)
%Functia care rezolva cerinta1
A = imread(image);
A = double(A);
[m n] = size(A);
[U S V] = svd(A);
A_k = U(:, 1:k) * S(1:k, 1:k) * (V(:, 1:k))';
A_k = uint8(A_k);
end |
%% Generate cross validation curves for HFcvglmnet
% Results for iterative lasso using HFcvglmnet has to be loaded first!
clear; close all;
%% Load the data
label = 'TrueFaces';
load(['JLP_HF_' label '.mat'])
%% Plot the CV curve for subject i, iteration j
% % specify the parameters
% subNum = 1;
% numIter = 1;
% % ... |
clear all
close all
clc
p = -1; %y = m x + p where y(-1 1) x(0 999) from rfduino z(-2^14 2^14)
m = 2/999;
delete(instrfind({'Port'},{'COM15'}))
ser = serial('COM15','BaudRate',115200,'InputBufferSize',200);
ser.ReadAsyncMode = 'continuous';
fopen(ser);
qC = [1,0,0,0];qD = [1,0,0,0];qA = [1,0,0,0];qB = [1,0,0,0];qE = [1... |
%% timer_start : put before loop
function time_elapsed = timer_start()
tic;
time_elapsed = 0;
end |
function [ X_ Y_ ] = get_mini_batch( X, Y, n )
%GET_MINI_BATCH Summary of this function goes here
% Detailed explanation goes her
indices = randperm(size(X,2));
tmp = repmat(ceil(size(X,2)/n), 1, n-1);
reste = size(X,2) - tmp(1,1) * (n-1);
tmp(n) = reste;
Y_random = Y(indices,:);
X_random = X(:,indices);
Y_ = ma... |
function [svm_model, knn_model] = trainer_feature_extraction()
%% Image training and finding eigenfaces
imagelist = dir('image_set');
noOfFile = length(imagelist);
noOfImage = (noOfFile - 2);
imagelist = imagelist(3:noOfFile);
disp(noOfImage);
imageSet = cell(1, noOfImage);
current_di... |
%%
% This script solves optimisation of the scenario-tree based model
% predictive control. The dynamic system considered is the standard
% spring-masss system.
%%
% Generation of the system
clear all;
close all;
clear model;
clc;
Nm=5; % Number of masses
T_sampling=0.5;
ops_masses=struct('Nm',Nm,'Ts',T_sampling,'xmin... |
function insertDialog(pb,src,event)
idh.fig = figure('position',[600 600 550 250]);
hTop = uiextras.HBox('Parent',idh.fig,'Spacing',3);
vLeft = uiextras.VBox('Parent',hTop,'Spacing',3);
vRight = uiextras.VBox('Parent',hTop,'Spacing',3);
set(hTop,'Sizes',[-1 -5]);
% Animal, Slice, and Session number
uicontrol('style'... |
function [ vTris, vVerts ] = onering( mesh, nVert, mode )
%ONERING returns list of tris and verts in one-ring of vertex
% mode == 'ccw' : sort one-ring
vVerts = find(mesh.e(nVert,:)~=0)';
vTris = cat(1, full(mesh.te(nVert,vVerts))', full(mesh.te(vVerts,nVert)));
vTris = unique(vTris);
vTris(find(vTris==0))... |
function [H] = entropy1d(px,x1_span)
% Function [H] = entropy1d(px,x1_span)
% calculates entropy for a 1-d random variable with density interpolated by
% vector px in the space x1_span.
temp_func=log(px.^px);
H=-trapz(x1_span,temp_func);
end
|
clear,clc
input_path='../../input/';
%input parameters
z_o=0.16;
nsteps=35000;
dt=0.5;
Nx=48;
Ny=48;
Nz=48;
hprocs=1;
l_r=1;
z_i=795.775;
u_star=0.5;
l_z=2000;
press_cor=1;
Ug=3.6;
Vg=0.0;
f_c=0.5;
verticalBC=0;
nu=0;
theta_mean_wind=0;
cs_count=1;
nframe=500;
sframe=25000;
framestep=20;
c_flag=0;
npart=72900... |
% HWK 8 Part 3
% Macky Brock McWhirter
% Hidden System
% These methods are modifications of the system_identification.m file
% by Juan Carlos Rojas
close all;
clc;
clear all;
%% Frequency Sweep Method
% Method 3: frequency sweep
if (1)
num_frequencies = 250;
% Create the vector of normaliz... |
function [KR, A_in,A_ref, SP1,SP2, n_min,n_max] = func_refwave(eta1,eta2,dL,h,dt,g_min,g_max,p_flag)
% ======================================================================
% version 1.21
%
% Update
% 2008/11/25 NM Update help
% 2006/01/25 NM Additional input parameters g_min and g_max are added
% 2006/03/02 Nakajo
%... |
function [ret]=Fun(vector)
len = length(vector);
if len==1
ret = Gun(vector);
else
Part1 = vector(1:floor(len/2));
Part2 = vector(floor(len/2)+1:end);
%ret = Gun(Part1) + Hun(Part2);
%ret = Hun(Part1) + Hun(Part2);
%ret = Gun(Part1) + Gun(Part2);
ret = Fun(Part1) + Fun(Part2);
end
en... |
cur = fileparts(mfilename('fullpath'));
export_path = fullfile(cur,'export');
if ~exist(export_path)
mkdir(export_path);
end
addpath(export_path);
%% create a truck model
vf = 20;
speed = vf;
horizon = 1;
bzorder = 5;
sys = truck(horizon,speed,bzorder);
% add an additional parameter of 'ymax'
% this will automat... |
clear all
close all
T = readtable('PatientInfo_063021.csv','Headerlines',2);
gammas = zeros(4,872);
for pt = 22:872
pt_id = T{pt,1}{1};
for i=1:4
if isfile(strcat('/Volumes/GoogleDrive/Shared drives/REU shared/ForwardEvaluation/nomHRs/', pt_id, '_val', num2str(i),'_nomHR.mat'))
load(s... |
function[Ifc,CI] = fuzzycmeans(I,k,Tn)
% This program illustrates the Fuzzy c-means segmentation of an image.
% Author: Krishna Kumar
%I - input image
%k - no. of clusters required
%Ifc - fuzzy clustering output image
%C - final cluster centers
%Tn - Number of itrations
%sample usage:
%I = imread('cameraman.tif');
%[... |
leftImg = imread('C:\Users\ycth8\Desktop\leftImage.jpg');
topImg = imread('C:\Users\ycth8\Desktop\topImage.jpg');
rightImg = imread('C:\Users\ycth8\Desktop\rightImage.jpg');
s = ImageProcessor(leftImg, topImg, rightImg);
[image_sframe1, image_sframe2, image_sframe3, image_sframe4] = s.leftCamCrop();
[image_stframe5, im... |
% Performs k-fold cross validation on the given examples plus output label
function [confusionMatrix, avgRec, avgPrec, avgMeas] = crossValidation(k, examples, outputLabels)
numberOfExamples = length(examples);
bucketSize = floor(numberOfExamples / k);
currentIndex = 1;
iterationNumber = 1;
... |
clear; close all;
% open file and interpret results
fig = 1;
dir_open = './';
nodes = [8,16,32];
for i = 1:length(nodes)
node = nodes(i);
filename = ['newest_results_5_13_',num2str(node),'_advanced.txt'];
% open
fid = fopen([dir_open,filename],'r');
fgetl(fid);
[A,count] = fscanf(fid,'%d ... |
function pass = uq_randomfield_test_gaussian_1d( level )
% PASS = uq_RF_exponential_1D: test for 1D gaussian analytical function
% .
Gaussian_eigenValue1 = [45.5543391219171;40.5081735886253;33.3294910303610;25.3973976703664;17.9470231751218;11.7807292471836;7.19809492118083;4.10344883953213;2.18816817167518;1.0943949... |
% DeleteAllPolygons - DeleteAllPolygons() This will remove all of the polygons.
function DeleteAllPolygons()
D3d.Viewer.Mex('DeleteAllPolygons');
end
|
%% GAIO demo: largest Lyapunov exponents
%
%% The Hénon map
a = 1.4; b = 0.3; % parameters of the map
f = @(x) [1-a*x(:,1).^2+x(:,2) b*x(:,1)]; % Hénon map
Df = @(x) [-2*a*x(:,1) 1; b 0];
%%
x = [1,1]; % initial point
N =... |
function dataTensor_proj = projectTensor(dataTensor, w)
[~, w] = normVects(w);
[T, N, R] = size(dataTensor);
K = size(w,2);
XN = reshape(permute(dataTensor, [1 3 2]), T*R, N);
XN_proj = bsxfun(@minus, XN, mean(XN))*w;
dataTensor_proj = permute(reshape(XN_proj, T, R, K), [1 3 2]);
end |
function dat = handle_missing_in_quantitative(inpmat)
checkNAN=isnan(inpmat);
raw = inpmat;
raw(checkNAN==1)=0;
mVal = mean(raw);
raw(checkNAN==1)=mVal;
dat = raw; |
function Ss = scsurf(Z,H,VARS)
% get required VARS:
dphi_dtheta = VARS.dphi_dtheta;
m_one_two_pi = VARS.m_one_two_pi;
rho_rock_dr_Lambda = VARS.scsurf.rho_rock_dr_Lambda;
sin_theta_m_cos_theta_theta_lt_B_theta_gt_C = ...
VARS.sin_theta_m_cos_theta_theta_lt_B_theta_gt_C;
S_air = VARS.scsurf.S_air;
%-------... |
function table=my_mc_time(newcat,Nwin,Nstep,N,Nboot)
%Function to calculate Mc with time
%given a window of events, with increment one
%--------------------------------------------------------------------------
%Table to save all the output parameters
%Assign NaN to (i) pre-allocate memory,
%and (ii) not to mess up wi... |
function displayTransparentMixedImage(templateImage, targetImage, xOffset, yOffset, hScale, vScale)
if(class(templateImage) == "logical")
templateImage = cast(templateImage * 255, 'uint8');
end
sizeMatchedTemplate = zeros(size(targetImage));
% Rescaling the template to match the input... |
function A1 = inv3(A)
% The inverse of 3-order square matrix
% See also tr3, det3, inv3, adj3, svd3, foam
% Copyright(c) 2009-2020, by Gongmin Yan, All rights reserved.
% Northwestern Polytechnical University, Xi An, P.R.China
% 28/01/2020
A1 = adj3(A)/det3(A);
|
function acc = getEnergyMap(mag)
[dy, dx] = gradient(mag); % Gradient Energy Function
acc = hypot(dy,dx);
% HOG = extractHOGFeatures(mag); % HOG Energy Map
% acc = mag/max(HOG);
% acc = entropyfilt(mag); % Entropy Energy Map |
function [Y] = khatri_rao(X)
% [Y] = khatri_rao(X)
% Calculates the Khatri-Rao product of a set of matrices.
% INPUTS
% X cell array with matrices of the same number of columns
% OUTPUTS
% Y the Khatri-Rao product of the matrices in X
%
% Georgios Papamakarios
% Imperial College London
% M... |
function v = mdispg(jb, je, ncjt, ndof, nsc, p, v)
i = 1;
while i <= 2*ncjt
v(i) = 0;
i = i + 1;
end
j = (jb - 1)* ncjt;
i = 1;
while i <= ncjt
j = j + 1;
n = nsc(j);
if n <= ndof
v(i) = p(n);
i = i + 1;
else
i = i + 1;
end
end
j = (je - 1)*ncjt;
i = ncjt + 1;
whil... |
%% 1. Initialization
clear all; clc; close all;%#ok<CLALL>
%% Inits
covfunc = {'covSum', {'covSEard', 'covNoise'}}; % specify ARD covariance
Mgpr = zeros(H,length(dyno)); Mgp0 = zeros(H,length(dyno));
Mgp0_prob = zeros(H,length(dyno)); Sgp0_prob = zeros(length(dyno),length(dyno),H);
Mgp0_... |
% This file contains the experiment on Bayesian Optimization (BO) by using Gaussian Processes (GP) executing different acquisition functions (AF's).
% This script can be used for two dimensional input
% Different tests can be executed:
% Sample function: output of measurement point is sampled from a function (Branin)
... |
M = get_frame_matrix('~/code/datasets/photometric/bulb_close/frames/rgb/', [40 20 120 160]);
%%
MSub = M(1:30, :);
[U S V] = svd(MSub);
r = 4;
d_fr = S(:, 1:r);
d_rn = S(1:r, :);
%%
L_tilde = U*sqrt(d_fr);
S_tilde = sqrt(d_rn)*V;
S_tilde = bsxfun(@rdivide, S_tilde, sqrt(sum(S_tilde.*S_tilde, 2))); |
function H_min = minphase(H_mix, t, p)
% MINPHASE calculates the minimum phase impulse response or transfer function
% function H_min = minphase(H_mix, t, p)
% initial delays are pre
% H_mix: mixed phase impulse response or transfer function
% t: domain of input and output data t=1 time domain, t=0 frequency dom... |
function [D, D2, X, labels] = learn_features(params, params2)
annotations = '/cshome/dana/foisy4/DATA/VESSEL12/Annotations/VESSEL12_%d_Annotations.csv';
% Load volumes, annotations and pre-process
disp('Loading and pre-processing data...')
V = cell(3, 1);
A = cell(3, 1);
Vlist = cell(3, 1);
... |
% 做Voice Conversion的合成部份
% 即是Synthesis phase
clear all;
pack;
clc;
addpath 'E:/bond8246/research/rastamat';
load 'E:/bond8246/common_research/iterative9/MOS_GMM_parameter_sung_tu';
load 'E:/bond8246/research/MOS_STRmfcc_24/sung/pitch';
source_pitch = [];
[m,n] = size(f0);
for i = 1:n
if f0(i) ~= 0
source... |
sw=find_system(gcs,'followlinks','on','LookUnderMasks','all','FindAll','on','type','line');
for k=1:length(sw)
n = get_param(sw(k),'Name');
if ~isempty(n)
disp(n);
end
end
|
function matparse(mat)
% this function is to parse through the rows of a matrix
channels=length(mat(:,1));
currchan=1;
fp=figure;
marked=[];
c='a';
while c~='q'
%%%%%%%%%%%%%%%%%%%%%%%plotting%%%%%%%%%%%%%%%%%%%%%%%%%%
clf
plot(mat(currchan,:))
ylabel('amplitude'),xlabel('column datapoints'),title(strc... |
%%%%%%%%%% Impact Date in each sandy/muddy cluster/group %%%%%%%%%
clear;clc;
load 'C:\Program Files\MATLAB\R2017a\bin\beach formation and sea surface pollutant\settings for grid type and concentration.mat'
% cd 'C:\Program Files\MATLAB\R2017a\bin\beach formation and sea surface pollutant\excel result output\10x10... |
load presents.mat
remain = presents;
presents_4 = remain(find(Small_Edges(remain) >= 65 & Large_Edges(remain) >= 71), :);
remain = remain(find(Small_Edges(remain) <= 64 | Large_Edges(remain) <= 70), :);
presents_3 = remain(find(Large_Edges(remain) >= 71), :);
remain = remain(find(Large_Edges(remain) <= 70), :);
pres... |
function FeatureSetsInfo = generateIBEXsettings(saveflag)
%Generate a feature settings strucutre compatible with IBEX
% settings = ibexGenerateSettings(saveflag)
%
% saveflag is boolean, if true will save it as "IBEX_features_default.mat"
% that contains the field FeatureSetsInfo
%
% Under construction, cur... |
%% Load things
probeFile='~/Desktop/HCN_128.sfp'
%probeFile = '/raid/MRI/data/4dImaging/Projects/MTLocalizer/EEG_EMSE/MOCOFields/spm_MOCOField_112707Data/Polhemus/spm_MOCOFields_112707.elp'
invFile = '/Volumes/MRI-1/data/4dImaging/Projects/JMA/ICM/AMN_ICMadd/FFTs/3ShellMinNorm_n=10-20Hz0.0042S.inv'
fwdFile = '/Volumes... |
function results = CalcsCPW(material_thickness,material_length,airFile,materialFile,materialFile2)
%This function determines the complex permittivity and permeability of both
%the substrate and the loaded material on top of a coplanar waveguide
[s11,s21,freq] = s2pToComplexSParam_v4(materialFile);
[s22,s12,~] = s2pToC... |
rng(split);
nreps = 10;
addpaths;
load(fullfile(basedir,['data/Demographics',name_root,'.mat']));
load(fullfile(datadir,['TimeSeriesIndicators',name_root,'.mat']));
savedir = fullfile(masterdir,'analyses','choosing_k','splithalves');
mkdir(savedir); cd(savedir);
concTS = csvread(fullfile(datadir,['ConcTSCSV_',name_roo... |
function f = SPLT(x,y,m,y2,c)
% SPLT Function for cubic spline interpolation
% x is grid, y is fn eval on grid, m is grid points
% y2 is 2nd deriv output of SPL, c is desired point of interpolation
% Error check
if length(x)~=m || length(y)~=m
display 'You lied about the grid size.'
return
end
klo =1;
khi =... |
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