text stringlengths 8 6.12M |
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function img=rf_slicer(img)
VO=spm_vol(img);
img=spm_read_vols(VO);
%repair order
nslice=size(img,3);
%order=reshape(reshape(1:nslice,nslice/2,2)',1,[])
order=reshape([11:20;1:10],1,[]);
img=img(:,:,order);
%repair dimensions
mat=spm_imatrix(VO.mat);
mat(9)=10;
VO.m... |
function QR
% {block initial conditions}
n = 3;
A = rand(n);
A1 = A;
Q1 = eye (n);
% {endblock initial conditions}
% {block main}
for k = 1:n-1
for i = k+1:n
if A(i,k)~=0
d = sqrt (A(k,k)*A(k,k) + A(i,k)*A(i,k));
C = A(k,k)/d;
S =... |
function [Theta1, Theta2] = nninit(X_train, y_train)
[m, n] = size(X_train);
input_layer_size = n;
hidden_layer_size = round(n*1.25); % 25 hidden units
num_labels = 7; % 10 labels, from 1 to 10
fprintf('\nInitializing Neural Network Parameters ...\n')
initial_Theta1 = nnrandinitializeweights(input_l... |
function[]=MS2_TimeStampAll(Path,File,Name,manual);
% BEFORE START DO manual = true
%%
if manual == true
[File,Path] = uigetfile('*.*','select file for name / MAX.tif','/Volumes/JFS/MS2/');
Name = '_3D/'
Nickname='m5m8peve Ez'; Rep = 1;
end
PathToSave = [Path,File,Name,File];
Flip = [0,0] % first... |
%ATHELP generates the list of Accelerator Toolbox functions
ATROOT = getenv('ATROOT');
disp('Physics Tools');
disp('');
help([ATROOT,'\atphysics'])
disp('Lattice Tools');
disp('');
help([ATROOT,'\lattice'])
disp('AT Demos');
disp('');
help([ATROOT,'\atdemos']) |
torso_width = 111.490833/1000;
pelvis_width = 135.213424/1000;
pelvis_depth = 207.340833/1000;
upper_length = 467.447184/1000;
lower_length = 567.470264/1000; |
function [inter, valid] = intersectEdgePolygon3d(edge, poly)
%INTERSECTEDGEPOLYGON3D Intersection point of a 3D EDGE segment and a 3D polygon.
%
% INTER = intersectEdgePolygon3d(EDGE, POLY)
% Compute coordinates of intersection point between the 3D edge EDGE and
% the 3D polygon POLY. EDGE is a 1-by-6 row vector ... |
disp("Problem 2")
syms f(t, x)
f(t, x) = 1 + x/t
a = 1;
b = 2;
x = 1;
n = 100;
h = (b-a)/n;
t = a;
disp("n:")
disp(n)
[ x_out ] = abm(f, t, x, h, n);
disp("x:")
disp(vpa(x_out))
function [ x ] = abm(f, t, x, h, n)
k = 1/6;
for i = 1:n
fprintf("Step %d\n", i);
xd1 = x + (1/2)*h*(3*f(t,x) -... |
% Name: Chenying Wang
% Email: chenying.wang@usc.edu
% USC ID: ****-****-**
% Date: Friday, February 14, 2020
function optimalDec = evalEdgeImg(edgeImg, groundTruth, width, height, thrs)
edgeImgFile = fopen(edgeImg, 'rb');
edgeImgData = fread(edgeImgFile, inf, 'uint8');
edgeImgData = reshape(edgeImgD... |
function ConvertCsvToLibSVM( csvFile )
% example csv file
% 1,0,52,0,0,73,66,72
% 1,72,62,69,67,78,82
%
% First column labels seperated all by commas
% rest columns features
SPECTF = csvread(csvFile); % read a csv file
labels = SPECTF(:, 1); % labels from the 1st column
features = SPECTF(:, 2:end); % features from t... |
src = imread('C.tif');
[row, col] = size(src);
a = row / 2.0;
b = col / 2.0;
imshow(uint8(ellipseMask(a, b)) .* src);
|
function [z,w] = calfunV2 (x,y)
w=3.*x+y;
z=y-w.^2+x.^0.5; |
function result = ex_SaccadeTask_remapping(e)
% ex file: ex_saccadeTask
%
% Uses codes in the 2000s range to indicate stimulus types
% 2001 - visually guided saccade
% 2002 - memory guided saccade
% 2003 - delayed visually guided saccade
%
% General file for memory and visually guided saccade tasks
%
% XML RE... |
function outlayers=ExtremeFiltration(data,filtration)
%outlayers=cell(1,length(data));
%if (strcmp(filtration,none)){}
%if strcmp(filtration,'5sigma')
% for (chromosome=1 :length(data))
[nrow,ncol]=size(data);
chromOutlayers=cell(1,ncol);
for tetranucleotide=1:ncol
TetraOutlayers1=(find(da... |
function [QEanalysis]=A_QE1(Deveq)
global CONST
a_init;
Illum0.type='spectrum';
Illum0.top_or_bottom='top';
Illum0.spectrum='am1.5g';
Illum0.inc_angle=0;
wl=linspace(.1,1.1,11);
kk=0;
for k=-7:3
kk=kk+1;
if k == -7
Dev=A_applyOpCond(Deveq,'steady-state','V=',0,'Illum=','dark'... |
clear;
clc;
global linkLengths; %Lengths of links (from body to tip)
global body2LegTmat; %From body center to legs (4*4*4)
global dhparam; %dh parameters of sigle leg
global bodyDim; %Length and width of body
global bodyTmat; %From ground to center of body transformation matrix
bodyDim... |
%% THE 2D AGENT BASE CLASS (agent.m) %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% Similar to the 'agent' class, this object class is intended provide
% support for 2D simulation. The functions provided here
% Author: James A. Douthwaite
classdef agent_2D < agent
%%% AGENT(2D) BASE CLASS %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%... |
function [files_in,files_out,opt] = multisite_brick_simu_power(files_in,files_out,opt)
% FILES_IN
% (string) the name of a mat file with the Y/X variables
%
% FILES_OUT
% (string) the name of a .mat file to store the results
%
% OPT
% (structure) with the following fields:
%
% RAND_SEED
% (vector, default ... |
function Hd = IIRgenerate(Fc1,Fc2,Fs)
%IIRGENERATE Returns a discrete-time filter object.
% MATLAB Code
% Generated by MATLAB(R) 9.2 and the DSP System Toolbox 9.4.
% Generated on: 20-Dec-2018 09:23:27
% Butterworth Bandpass filter designed using FDESIGN.BANDPASS.
% All frequency values are in Hz.
%Fs = 48000; % Sa... |
%getallmij.m
clear; close all; format compact
addpath /Users/dkane/Documents/RESEARCH/SAM/picking/
% usedir = 'pickedevents_combinedunderTT';
usedir = 'pickedevents';
% usedir = 'pickedevents_deeper_badtrialmaybe';
% usedir = 'pickedevents_awesomeround1';
% usedir = 'pickedevents_awesome2and3';
% usedir = 'pickedev... |
%% ANALYSIS WRAPPER
% ==== TRIGGERS ====
%
% -- Targets Present --
% Trial start (fixation): lag (1,2,3,4)
% Entrainers: 61-68
% Target: 20+lag (21,22,23,24)
% Mask: 90+lag (91,92,93,94)
% Response screen: 40+lag (41,42,43,44)
% Response: 80+lag (81,82,83,84)
%
% -- Targets Not Present --
% Trial start (fixation): 1... |
clear;
clc;
load('Falmouth2004.mat');
% Choose proper wind speed data from all data set
speed=Falmouth2004(51:800,1);
speed=speed';
trainx=zeros(494,6);
trainy=zeros(494,1);
train=speed(1,1:500);
for i=1:494
trainy(i)=speed(6+i+4);
for j=1:6
trainx(i,j)=speed(i+j-1);
end
end
[b,~,r]=regress(trainy,t... |
close all
clc
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%GirvanNewman
load('./DBLP.mat') ;
cluster=GirvanNewman(A,4);
outfile=fopen('DBLP_GirvanNewman.txt','wt');
for i=1:size(cluster)
fprintf(outfile,'%d\n',cluster(i));
%fprintf(outCut,'\n');
end
fclose(outfile);
load('./football.mat... |
function [ result ] = generate_consistent_assignment_likelihood_bypass( likelihood, ia, range, pedigree )
% quick method for simple families, not complete enumeration of all
% tranmission patterns
n_ind = ceil(sqrt(2*length(likelihood)));
n_ind = length(range.family_range);
assigned_list = 1:n_ind;
% generate glob... |
% 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,... |
function varargout = get_config_bool(varargin)
[varargout{1:max(1,nargout)}] = CoolProp_wrap(415,varargin{:});
end
|
function[op_indices,inp_index]=get_opindices_forward(sfg,nodenummer);
% gets the operation nummer and input index number of
% instrs whose input is the nodenummer. Performs delay tunnelling.
%nodenummer = 9;
%%sfg=sfg_recur;
%Code logic is divided into two parts
%In the first part nodenummer is searched for in the ou... |
function cost = P_discrete(varargin)
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% Function to generate the discrete proportional model
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% Possibility to add in controller constants
switch nargin
case 0
% I... |
%% Draw curve for multi stage
figure(100); clf; hold on;
set(0,'DefaultAxesFontSize',16);
set(0,'DefaultTextFontSize',16);
range = 0:0.01:0.5;
stages = [8, 4, 2, 1];
legendName = cell(length(stages),1);
colors = [228, 26, 28;
55, 126, 184;
245, 170, 27;
128, 128, 22... |
function [ threshold ] = estimate_threshold( frame )
%ESTIMATE_THRESHOLD Estimate a threshold for generating blink detection
%features.
% Detailed explanation goes here
eyesDetector = vision.CascadeObjectDetector('EyePairBig');
filtered = imgaussfilt(histeq(rgb2gray(frame)));
eyesBB ... |
clear
clc
syms x1 x2 x3 alpha
f(x1,x2,x3)=x1^2+2*x2^2+2*x3^2+2*x1*x2+2*x2*x3;
k=0;
x1=1;
x2=1;
x3=1;
epsilon=0.0001;
c=gradient(f);
c_value=c(x1,x2,x3);
c_length=sqrt(c_value(1)^2+c_value(2)^2+c_value(3)^2);
d=-c_value;
f_alpha(alpha)=f(x1+d(1)*alpha,x2+d(2)*alpha,x3+d(3)*alpha);
df_alpha(alpha)=diff(f_alpha);
alpha=so... |
classdef opConvolve3D < opSpot
%OPCONVOLVE One and two dimensional convolution operator.
%
% opConvolve(M,N,KERNEL,OFFSET,MODE) creates an operator for one or
% two-dimensional convolution, depending on the size of the KERNEL,
% and the matrix or vector (MxN) the convolution is applied to. The
% convolution i... |
function [ transformada, f ] = DFT_delta( signal,N,Fs,delta )
% [ transformada, f ] = DFT( signal,N,Fs,delta )
% DFT_plot realiza la transformada de fourier de signal, se debe
% disponer previamente de la matriz base de la trasformada.
%% Calculo de la base de la DFT
[b R] = base_DFT_delt... |
function rgb = dim_gray
rgb = [0.41176, 0.41176, 0.41176];
end |
classdef Status < double
%STATUS
% calc_lorenzが計算できたかどうかを表す列挙型
enumeration
Failed(0)
Incomplete(1)
Succeeded(2)
end
end
|
% Database Toolbox
% Version 3.4 (R2007b) 02-Aug-2007
|
function [ tree ] = Iris_tree(attrib,P)
%P为子集最大样例所占比例，取值应在[0，1]内
tree = struct('value', 'null', 'left', 'null', 'right', 'null');
numberExamples = length(attrib(:,1));
num_class_1=sum(attrib(:,5)==1);
num_class_2=sum(attrib(:,5)==2);
num_class_3=sum(attrib(:,5)==3);
I_parent=-((num_class_1/numberExam... |
function [ morphed_im ] = morph_tps( im_source, a1_x, ax_x, ay_x, w_x, a1_y, ax_y, ay_y, w_y, ctr_pts, sz )
% Output image
morphed_im = zeros(sz(1), sz(2), 3);
%% Prepare x and y arrays for multiplying for all of fx and fy at once
% I created an array called index, holding all the indeces to the pixels in
% the images... |
function transfo = createBasisTransform3d(source, target)
%CREATEBASISTRANSFORM3D Compute matrix for transforming a basis into another basis.
%
% TRANSFO = createBasisTransform3d(SOURCE, TARGET) will create a 4-by-4
% transformation matrix representing the transformation from SOURCE basis
% to TARGET basis. ... |
close all
clear
clc
%% setting up parameters
nEchoes = 512
tE = 150e-6
nrPts = 69
nrBlank = 5
%% setting up directories
% dir1= ('C:\Users\bmfortman\Documents\Data\MortarCuring\Brick Dust Experiments');% for the lab computer
dir1 = ('C:\Users\benjamin\Documents\Data\Mortar Curing\Brick Dust Experiments')... |
function [uout, vout] = rotatein2D(uin, vin, theta)
% [uout, vout] = ROTATEIN2D(uin, vin, theta)
%
% inputs:
% - uin
% - vin
% - theta
%
% outputs:
% - uout
% - vout
%
%
% Olavo Badaro Marques, 13/Mar/2017.
origsize = size(uin);
uin = uin(:);
uin = uin';
vin = vin(:);
vin = vin';
... |
clear; clc; close;
D = 3;
[phalanges, dofs] = thumb_parameters();
%% Generate test
Rx = @(alpha) [1, 0, 0;
0, cos(alpha), -sin(alpha);
0, sin(alpha), cos(alpha)];
Ry = @(alpha) [cos(alpha), 0, sin(alpha);
0, 1, 0
-sin(alpha), 0, cos(alpha)];
Rz = @(alpha)[cos(alpha), -sin(alpha), 0;
sin(alpha), ... |
function [signal_mod] = LoRa_Tx(message,Bandwidth,SF,Pt,Fs,df,varargin)
% LoRa_Tx emulates a Lora transmission
%
% in: message payload message
% Bandwidth signal bandwidth of LoRa transmisson
% SF spreading factor
% Pt transmit power in deicbels
% Fs ... |
% needs to be taken as an input parameter
format compact
disp('----------------------------------------------------------------------------------------')
disp('The following parameters are critical for the')
disp('proper representation of your tokamak. Please make sure they have been correctly defined ')
disp('BEFORE ... |
function [detections Files] = DetectDir(root_dir,img_dir,pffubfmodel_path,facemodel_path,det_pars,draw,verbose)
% executes DetectStillImage on a directory with images
% Input:
% img_dir - relative/absolute path to an directory with images
% pffubfmodel_path - relative/absolute path to the pretrained upper body ... |
function [Ac] = cofactors(A)
% This function computes the co-factors of an n x n matrix
% [C]=COFACTORS(A) produces the cofactors C, of the n x n
% matrix A
% PROGRAMMER: Gordon Nana Kwesi Amoako
% kwesiamoako@gmail.com
% DATE: Sept 09, 2010
% INPUT: A - n x n matrix
% OUTPUT: Ac -n x... |
%---------------------------------------------------------------------------
%
% days2mdh.m
%
% this function converts the day of the year, days, to the equivalent month
% day, hour, minute and second.
%
%
% inputs:
% year - year 1900 .. 2100
% days - julian day of the ... |
s = serial('COM1');
set(s,'BaudRate',9600, 'Parity', 'none','FlowControl', 'none','DataBits',8,'StopBits',1,'Terminator','CR');
fopen(s);
while(1)
%hex2dec('FF')==255;
mhex=fscanf(s)
try
mbin=hexToBinaryVector(mhex)
catch
mbin=0
end
end
fclose(s); |
task=1;
fprintf('Test of syslyap \n');
%a=0.98;
%r1=1;
a=[-1.5 1;-0.7 0];
r1=eye(2);
if task==1, % Check for correctness
syslyap(a,r1,1,0)
dlyap(a,r1)
elseif task==2, % check for speed
% for i=1:10, t5; end;
tic
syslyap(a,r1,1,0);
toc
tic
dlyap(a,r1);
toc
end
|
%%%%%%%%%%%%%%%% CLUSTER MEASURES %%%%%%%%%%%%%%%%
% Clusters the measures and plots a covariance plot
%%%% List of Measures %%%%
% 1: area
% 2: perimeter
% 3: mean radius
% 4: minimum distance from centroid
% 5: maximum distance from centroid
% 6: minorAxisLength
% 7: majorAxisLength
% ... |
function TransitTime_vals = TT_recalculator(PathData, CurrentPath )
%Recalculate VoG values to transit times
%test VoG value
% PathData.VoG = 5; %value velocity of gas path, unit m/s
% PathData.VoS = 350; % value velocity of sound path, unit m
% PathData.PL = 0.43; %value pathlenght in unit m, unit m
% PathData.angle ... |
% TEINTE egalise les niveaux de gris entres les images
%
% Utilisation: im2 = Teinte(im1,im2,R)
%
% Arguments:
% im1 - la première image
% im2 - la deuxième image
% R - la zone de recouvrement
%
% Returns:
% im2 apres egalisation des niveaux de gris
function im2 = Teinte(im1,im2,R)
%fo... |
function [ output_args ] = Untitled( input_args )
%UNTITLED Summary of this function goes here
% Detailed explanation goes here
clc;
f=2000;
T=1/f;
tmin=0;
tmax=3*T;
dt=T/100;
t=(tmin:dt:tmax);
x=sin(2*3.14*f*t);
plot(t,x);
xlabel('time');
ylabel('x(t)');
TITLE('SINE FUNCTION');
dt1=1/10000;
dt2=1/300... |
% Assume you have been given training data f(i1, i2)g where (0.7, 0.3), (0.4, 0.5) and (0.6, 0.9)
% have passed the examination (i.e. have target output 1) and (0.2, 0.2) has failed the examination
% (i.e. has target output 0). Train a perceptron on this data using eta = 0.1 and initial weight vector
% (Theta, Wi1, Wi2... |
% Plotting of differet Discrete time signals
%Unit impulse
u3 = [zeros(1,10),1,zeros(1,10)];
subplot (2,3,3);
stem(n,u3,':r');
title('Unit Impulse');
xlabel('n');
ylabel('u');
%Ramp
n = -10:1:10;
u1 = [zeros(1,10),0:1:10];
subplot(2,3,1);
stem(n,u1,'--g');
title('Ramp');
xlabel('n');
ylabel('u');
... |
function [avg,settling_index] = figure_avg_t( comparison,ansys_data,data,rubber,time,this_sim_name,ansys_sim_name)
%UNTITLED3 Summary of this function goes here
% Detailed explanation goes here
if (comparison)
ANSYS_t=transpose(ansys_data(:,1));
ANSYS_T=transpose(ansys_data(:,2)-273);
end
avg = zeros(size(... |
% function A = PartitionFunction(part)
% Input : part - partition function data as Q(T),T
% Output: A - coefficient A of the fit function Q(T)=A*T^(3/2)
function A = PartitionFunction(part)
partition = @(A0,x) A0*x.^(3/2);
A0 = 1;
A = nlinfit(part(:,2), part(:,1), partition, A0);
|
function obj = linkXML(obj,link)
%LINKXML Parsing the XML to the corresponding classes and properties
%
%----------------------------------------------------------------------
% BSD 3-Clause License
%
% Copyright (c) 2020, Jonas Wurst, Alberto Flores Fernández
% All rights reserved.
... |
function dy = FunctionContainer_AfterCombustion(t,y)
dy = zeros(1,1); % a column vector
T = y(1);
dy(1)= dT_dt_AfterCombustion(T);
%m, d, T, V, 0, 0
end
|
% Order the edges/nodes in a given face so that the nodes
% form a closed path and are ordered
% clockwise if clcws = 1, or
% counterclockwise if clcws = 0
%
% ------------------- make an oriented local copy of the nodes
% ------------------- use a relation Face_Node(:,iface,lvl)
function [local_node_list,fl... |
%% Model the tectal data with the AF10 data
clearvars
close all
load('paths.mat')
addpath(genpath(paths(1).main_path))
cluster_path = paths(1).stage3_path;
fig_path = strcat(paths(1).fig_path,'Model\');
data = load_clusters(cluster_path);
% define the color scheme
color_scheme = [1 0 0;0 1 0;0 0 1;1 0 1];
%% Run th... |
function [ Modulated ] = modulatorOFDM(ModulationSymbols,Param)
sizeOfFFT = Param.N;
numOfCarrier = Param.D;
numOfSym = Param.numOfSym;
overSampling = Param.OV;
cp = Param.CP;
CarrierIndexes = Param.CarrierIndexes;
% Create the mapped symbols into a matrix nad insert pilots
Modulated.dataSerial(:,CarrierIndexes) = re... |
function ClearDataSet()
global newdataset starttime endtime indFrictionValue ind1PrevFrictionValue formatIn cleareddataset
%% Remove datapoint if there is no friction value
% Copy newdataset
cleareddataset = newdataset;
% Get serial date number from start and end date
%current = datenum(starttime,formatI... |
function [wt,Finv,Ginv,Fvis,Gvis]=fRK44(w,Constant,Periodic,Enforce_Boundaries,Viscous)
dx=Constant.dx;
dy=Constant.dy;
dt=Constant.dt;
w2=cell(4,1);
w3=w2;
w4=w2;
wt=w2;
Rw1=cell(4,1);
Rw2=Rw1;
Rw3=Rw1;
Rw4=Rw1;
w1=w;
if(strcmp(Enforce_Boundaries,'yes... |
function handles = get_default_values(handles)
%GET_DEFAULT_VALUES laden der Default-Werte für Simulationsprogramm
% HANDLES = GET_DEFAULT_VALUES(HANDLES) fügt der HANDLES-Struktur des GUI
% 'Simulation' alle wichtigen Default-Werte und Definitionen hinzu. Falls
% keine anderen Programmeinstellungen (z.B. v... |
%function [rval] = gff_matrix_fast(filename,seqname,source,feature_type,strand,len_sig,col_cfs)
%
%
% Open filename for writting
%
%
[fid,error_msg] = fopen(filename,'w');
if fid == -1,error('Error opening %s for reading\n',filename),end
for level=1:length(col_cfs(:,1))
cur = 1;
non_ones = zeros(length(xd(1,:)),1... |
clear;
OUTPUT_CNN_NAME='19s_rotation04';
boxsize=160;
dim_x=1855;
dim_y=1919;
name_length=5;
name_prefix='image_';
mic_path='19Sdata/mic/';
num_positive1=800;
num_negative1=800;
positive1_box_path='19Sdata/positive/';
negative1_box_path='19Sdata/negative/';
positive1_mic_start_num=30001;
positive1_mic_end_num=30050;... |
% PDI - Aula 04/09/2018
% Author: Xie Jiayu
% Funções de transformação dos níveis de cinza (gamma usando função imadjust)
% e imadjust)
% Exerc. 4.5
close all;
clear all;
clc;
img = imread('IF69D_Atividade_04_arquivos/radio.tif');
img = im2double(img);
gama = 0.4;
low_in = min(min(img));
high_in = max(max(img));
img_... |
function pgs(hf)
ss2=get(hf,'UserData');
status=ss2(1);
status2=ss2(2);
ssz=get(0,'ScreenSize');
set(status,'FontUnits','points','FontSize',8*ssz(4)/768);
set(status2,'FontUnits','points','FontSize',8*ssz(4)/768);
drawnow;
printpreview(hf);
set(status,'FontUnits','points','FontSize',10*ssz(4)/768);
set(... |
clc
clear all
% Find all windows of type figure, which have an empty FileName attribute.
allPlots = findall(0, 'Type', 'figure', 'FileName', []);
% Close.
delete(allPlots);
verbose = 5;
format long
%%%%%%%%%conditions
figure_shape = 'ellipse';
dispersion = 'no';
n_points = 150;
n_points_ellipse = 100;
N_intervals_x ... |
%% Generate Results
% close all
reportType = 1; % 0 == No Report, 1 == HTML, 2 == PDF
plotType = 1; % 0 == QuickPlot, 1 == Individual, 2 == Both (Good for testing)
[diagnostics, R] = genResults(dataTable, reportType, results, cs, plotType); |
function err = naivePerfusionSSEIntegratoranmarP2X4(ton,toff,Ttot,amp,T,I)
%#codgen;
naive=getNaiveanmarP2X4();
V=-60*10^-3;
err=errorIntegratoranmarP2X4(ton,toff,Ttot,amp,naive,T,I,V);
end |
function [X, z] = gausseanMixtureGenerator(d, c, n)
w = rand(c, 1)';
z = categoricalDistribution(w,n);
mu0 = zeros(d,1);
mu = zeros(d,c);
Sigma = zeros(d,d,c);
X = zeros(d,n);
sigma_1=1;sigma_2=1;rho=0.4;
for i = 1:c
idx = z==i;
Sigma(:,:,i) = [sigma_1*sigma_1 rho*sigma_1*sigma_2;
rho*sig... |
%% Dialog example A : modal dialog
object=SMASH.MUI.Dialog;
object.Name='Example A';
object.Hidden=true; % temporarily hide dialog for speed
h=addblock(object,'edit','Input something:'); % edit block
set(h(2),'String','abc'); % place a default value in the edit box
h=addblock(object,'edit','Input something else:',20);... |
function nh=rewriteDiseased(nh,stats)
nh.R.Contrast(end+1) = stats.R.Contrast(1);
nh.R.Correlation(end+1) = stats.R.Correlation(1);
nh.R.Energy(end+1) = stats.R.Energy(1);
nh.R.Homogeneity(end+1) = stats.R.Homogeneity(1);
nh.G.Contrast(end+1) = stats.G.Contrast(1);
nh.G.Correlation(end+1) =... |
function [] = ReqName_callback(block)
% Callback processing function for mask parameter
% - number of VF-s used in the Validation Functions Set
set_param(block, 'LinkStatus', 'none');
load_system('Simulink'); % Load Simulink library (background)
load_system('MIL_Test');
No = str2double(get_param(block,'No'));... |
path(path,[cd,filesep,'csv_N2gram']);
data=csvread("0_global_file.csv",1,2);
fontsz=20;
phoneme=readtable("0_global_file.csv");
phoneme=phoneme(:,1);
phoneme_list=table2array(phoneme);
fct1=data(:,133);
% fct2=data(:,12);
% fct=[fct1 fct2];
bar(fct1)
% set(gca,'xtick',[1:length(phoneme_list)],'xticklabel',phoneme_lis... |
clc;
clear;
%upload the database to the Matlab
images = loadMNISTImages('train-images.idx3-ubyte');
labels = loadMNISTLabels('train-labels.idx1-ubyte');
% We are using display_network
%display_network(images(:,1:100)); % Show the first 100 images
%disp(labels(1:10));
%Given ?,?,n:
rate=1;eta=100;
errorsRate=0.15; n... |
function invS = computeInvS(S)
invS = rmfield(S, 'tensor1') ;
for i = 1 : S.subNo
invS.tensor1{i} = 1 ./ S.tensor1{i} ;
end
|
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% File to create training and validation set %
% for ShanghaiTech Dataset Part A and B. 10% of %
% the training set is set aside for validation %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
clc; clear all;
seed = 95461354;
rng(seed)
N = 1;
data... |
function [ output ] = get_branch(branches,property)
not=length(property);
newb=branches;
c=1;
[m,n]=size(branches);
for i=1:m
if branches(i,n-1)==i
newb(c,:)=branches(i,:);
c=c+1;
end
end
property=property-1;
for i=1:not
for j=1:property(i)
[m,n]=size(branches);
... |
clc;
clear all;
close all;
plotNum = 1;
input = imread('cat3_LR.png'); % 讀取題目圖片
subplot(2,4,plotNum);imshow(input);title('Input');plotNum=plotNum+1;
[M,N,H] = size(input);
input = im2double(input);
input_R = input(:,:,1);
input_G = input(:,:,2);
input_B = input(:,:,3);
for hsize = [3,5,7]
output = zeros(M,N,3,'do... |
function response = TransHistory(varargin)
% Get the transfer history
% Properties:
% fromparameter oblig? description it takes on the values standard value
% from No The ID of the transaction to start displaying with numerical 0
% count No The number of tr... |
% Calculates the gradient of the function from 1.1
function gradient = Gradient(x1, x2, mu)
if x1^2+x2^2 <= 1
gradient(1) = 2*(x1 - 1);
gradient(2) = 4*(x2 - 8);
else
gradient(1) = mu*(4 * x1^3 + x1 *(4 * x2^2 -4)) + 2 * x1 - 2;
gradient(2) = mu*(4 * x1^2 * x2 + x2 *(4 * x2^2 -4)) + 4 * x2 - 8;
e... |
function l = logistic_loss(X,Y,w)
%l = mean( log( 1./(1+exp(-Y.*(X*w)) ) ) );
%l = -sum(log((1./(1+exp(-Y.*(X*w))))));
l = sum(log(1 + exp(-Y.*(X*w))));
% l = sum(log(1+exp(X*w)) - Y.*(X*w));
end
|
% Calderon precondiioner with refined mesh
disp(' ')
N = size(Ze,1);
% Refining the mesh
[obj2, trian_ch, trian_pr] = refine_mesh6(obj);
obj2 = get_edge(obj2);
obj2.N = length(obj2.ln);
N2 = obj2.N;
%user_plot_geom3d(obj2);
%plot_obj_numbers(obj2);
% Obtaining RWG as lc of refined RWG
lc_mat = linear_comb6(obj, ob... |
function z=fisherz(r);
% Z=fisherz(R)
%
% this function performs a fisher Z-transform of vector R and output the
% transformed vector Z. This function is used to modify for example
% correlations in [-1;+1] into a near gaussian population. It could be used
% to transform any uniform population in the interval [-1;+1] ... |
function px_gen_path(ip,in,op,on,flag)
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% Format px_gen_path(ip,in,op,on,flag)
% Usegae generate the path of the file or the directories with the
% user-specified name.
% Input
% ip - input path
% in - input user-specified
% op - output... |
function medusaCmd32(nodeid, cmd, args32)
% function medusaCmd32(nodeid, cmd, [args32])
%
% This is part of the Medusa software suite.
% Pascal Stang, Copyright 2006-2012, All rights reserved.
%
% $LICENSE$
global MEDUSA
global sock
concmd32(sock, nodeid, cmd, [args32]);
|
%DEMO_TWOPAREIGS_MP demo nonsingular two-parameter eigenvalue problem
%
% We solve a random complex two-parameter eigenvalue problem
%
% A1 x = lambda B1 x + mu C1 x
% A2 y = lambda B2 y + mu C2 y,
%
% with random multiprecision matrices of size n x n (n = 100) using twopareigs
%
% First option, which is faster and ... |
function [X_poly] = polyFeatures(X,p)
% Takes data X matrix with n features/columns, then creates polynomial
% features of each column to the pth power.
% Don't add bias
[m,n_old] = size(X);
n_new = p*n_old;
X_pvec = bsxfun(@power,X(:),1:p); % raise columns to exponents
X_poly = reshape(X_pvec,[m,n_new]);
% X_poly = ... |
clear all ; close all ;
subs = {'alex','dina','genevieve','jeremie','karl','russell','valerie','tegan'} ;
freqranges = {[48,60],[45,60],[60,80],[50,70],[50,70],[50,70],[56,70],[55,70]} ;
lowcomps = {[15,25],[35,30,18],[25,17],[35,20,7],[16,15],[14,33],[25,13,35],[37,14,33]} ;
highcomps = {[26,25,21],[44,37],[39,... |
classdef UnitSubclassify < matlab.apps.AppBase
% UnitSubclassify class/figure.
% A GUI for determining cell type subclassifications of spike sorted
% units stored as SingleUnit class within a MultipleUnit class
%
% Merricks, EM. 2019-02-07
% Properties that correspond to app components
... |
function [p,w,s] = WeightShapeDecompositionSingleChannel(im,sigma,sz)
% im - a single channel image
% sigma - given in pixel units
% sz - size of filter, in units of sigma
% p,w,s - psi, weight and shape
% convert sz to pixel units, and make maximum 10
sz = ceil(sz*sigma);
sz = max(sz,10);
% create filter kernel... |
function neuron_I_plot(R, pop_ind, sample_ind, current_type, seg, seg_size)
% current_type can be any non-empty subset of
% {'I_leak','I_AMPA','I_GABA','I_NMDA','I_GJ','I_ext'}
marker = {'r','g','b','y','k','c','m'}; % for 6 different currents
% Input check and default values
if nargin < 6
seg_size = 4*10^4; % ... |
function dump_modi_deva_fids(path, dataset)
%
addpath('deva/');
load face_p99.mat;
model.thresh = -1 * realmax;
model.interval = 1;
load([path '/' dataset '_data/facemap.mat']);
load([path '/' dataset '_data/parts_heat_map.mat']);
%
if(dataset == 'lfpw')
face_list = [812:10... |
function [] = update_ellipse( pos, radius, fig_handle)
%UNTITLED Summary of this function goes here
% Detailed explanation goes here
tmp = get(fig_handle, 'children'); %get handle to ellipse
delete(tmp(1)); % ellipse should be first entry
b = ellipse(radius, radius, 0, pos(1), pos(2));
set(b, 'C... |
function [tform,aborted,altered,f] = uifitgeotrans(movingPoints,fixedPoints,transformationType,varargin)
%UIFITGEOTRANS Manually pair up points to apply FITGEOTRANS
% See FITGEOTRANS help for documentation; inputs/outputs match.
% Inputs; brackets indicate name,value optional pair
% (additional to that of FITGEOT... |
function O = LRbkInts(D)
O=double.empty(0,3); %initializing output
if length(D)<5 || min(D(:,1))>-3
return
else
[FO G] = fit(D(:,1),D(:,2),'poly1');
CI = confint(FO);
O = [FO.p1 CI(1,1) G.rsquare]; % slope of regression, lower limit on
% slope confidence interval; amt variance accounted for
end |
function dn = forwardprop(dz,j,z,n,param)
%NETSUM.FORWARDPROP Propagate derivates from weighted input to net input
% Copyright 2012-2015 The MathWorks, Inc.
dn = dz;
end
|
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