text stringlengths 8 6.12M |
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function [lambda_vec, error_train, error_val] = ...
validationCurve(X, y, Xval, yval)
% Selected values of lambda (you should not change this)
lambda_vec = [0 0.001 0.003 0.01 0.03 0.1 0.3 1 3 10]';
% You need to return these variables correctly.
error_train = zeros(length(lambda_vec), 1);
error_val = zeros(lengt... |
function [X] = myNormalization(label)
sz=size(label);
N = prod(sz(3:end));
X = zeros(sz);
if max(label(:))>1
for i = 1:N
Xtemp = label(:,:,i);
maxX = max(Xtemp(:));
minX = min(Xtemp(:));
X(:,:,i) = (Xtemp-minX)/(maxX-minX);
end
else
X = label;
end
end
|
function colorMapImshow(I,map,range,border,cbLabel)
% COLORMAPIMSHOW Show image with colormap and colorbar allowing white areas (border)
if nargin < 3 || isempty(range)
range = [min(I(:)) max(I(:))];
end
if nargin < 4
border = false(size(I,1),size(I,2));
end
indices = max(ceil((I - range(1)) / (range(2) - range... |
function res = f_style(n)
% - utility program for selecting line styles
%
% USAGE res = f_style(n)
%
% n = interger value selecting
% res = symbol specifying linespec for plots
%
% SEE ALSO: f_rgb, f_symb
% -----Author:-----
% by David L. Jones, Nov-2010
%
% This file is part of the FATHOM Toolbox for Matlab and
% i... |
% AnalysisScript.m
% in command window or DefineVars.m must define:
% obspath - string pointing to observational data
% AppEff - variable for apperture efficiency of telescope (between 0 and 1)
% Source - variable for source size in arcmin, 0 if unknown
% Beam - variable for beam size in arcmin
% threshold - variable f... |
function [bandWeighted, centralityWeights] = centralityWeighting1D(delayAxis_us, band, CF, weightingFunc, normalization, varargin)
% centralityWeighting - Perform centrality weighting on a 1D array (i.e. specific frequency band).
%
% [BANDWEIGHTED, CENTRALITYWEIGHTS] = centralityWeighting1D(DELAYAXIS_US, CF, BAND, WEIG... |
clear all
clc
%% outline
% use rand6000, 5group 2000, +1000err fix ite 8000 to pre
%% load
% load trained ANN net data. %%%%%%%%%%%%%%%%%%
tr_rat=1;
tr_rat_str=mat2str(100*tr_rat);
nnt_epochs_en= 8000;
n_add_group=5;
% ANN data
path_ann_train='../res_data/en/en_atom_dis_errfix01/';
na_ann_train='Mat_atom_dis_errf... |
clear all;
clc;
addpath('Utils')
% Number of robots
num = 5;
% Dimension of area to cover
dim = 100;
% Radius of the robots
R = 30 + rand(num,1)*10;
% UnCertainty of the sensors on the robot
unCertainity = rand(num,1);
% Number of executions of the algorith
iterations = 1000;
% Algorithm to
lloydsAlgorithm(R,num, di... |
%Brian Polagye
%September 18, 2014
%Description: add ADV data to gantry structure
%Gantry 0,0,0 for inboard profiler corresponds to 1D downstream from
%turbine rotation axis in x, centered on axis of rotation in y, and
%retracted such that the ADV transducer is 'vectrino_midplane' distance
%above the turbine ... |
function [ a ] = findNearest( list, desiredNumber )
%UNTITLED Summary of this function goes here
% Detailed explanation goes here
NearestNum = '';
IniGap = 100;
i = 0;
for n = 1:length(list)
gap = abs(list(n)-(desiredNumber));
if(gap < IniGap)
IniGap = gap;
... |
function [rgbColor,Name]=colorSelection(number)
%--------------------------------------------------------------------------
%
% colorSelection.m:
% This function is a sub-function of lscriptFretTracesStat.mlx.
%
% Description:
% The function is used to assign a color from a palette of 12 colors to a
% graphics o... |
% Procedure to get nodal stresses using Extrapolation method
function [sigma] = Extrapolation(stressGP)
%--------------------------------------------------------------------------
% Purpose : Extrapolating stress at Gaussian points to get nodal stress
% values
%
% Synopsis : sigma = extrapolation(stre... |
function L = BetaToL(beta)
nStates = round((-1+sqrt(1+8*length(beta)))/2);
L = tril(ones(nStates,nStates));
ixSet = find(L);
for i = 1:length(ixSet),
L(ixSet(i)) = beta(i);
end |
function [ fit_type,eq ] = gaussN( n , bg)
%GAUSSN Creates fittype of n(>1) gaussians with one optional offset
% Default is to include offset
assert(n==round(n),'n must be an integer.')
assert(isnumeric(n)&&n>0,'n must be greater than 0.')
% bg specifies including background offset
if nargin < 2
bg = true;
end
... |
function [dX,dY] = landmark_pointer(landmarks,landmark)
[m,~] = size(landmarks);
dX = 0;
dY = 0;
for i = 1:m
if (landmarks(i,1) == landmark(1) && landmarks(i,2) == landmark(2))
dX = landmarks(i,3);
dY = landmarks(i,4);
break;
end
end
end
|
function SBJ06c_CPA_prototype_ERP_plot_GRP_topo_cond(SBJ_id,conditions,proc_id,cpa_id,an_id,plt_id,save_fig,varargin)
%% Plot ERP topography per condition for single window across group
% INPUTS:
% conditions [str] - group of condition labels to segregate trials
%% Set up paths
if exist('/home/knight/','dir');root_d... |
%/**
% Скрипт отрисовки графики для межсистемных помех
%*/
clear
close all
clc
path_to_ro = [pwd '/ro'];
path_to_results_back = [pwd '/results/back_intersystem_L1'];
path_to_results = [pwd '/results/intersystem_L1'];
path_to_pics = [pwd '/k_intersys/L1/BackGPS'];
load([path_to_results_back '/BackInterSysJam_BoCsin_... |
% This is a simple Interior Point Method to solve Convex QP for MPC
% Based on the Algorithm offered by the NTU Paper Embedded MPC and AUT's
% m-function "quad_wright".
% A simple version of priduip.(With centering path, without Pre.- Cor.)
% Yi Ding 2014.7.12
% 这里后缀full的意思是在求解线性方程组时，这里没有进行压缩，而是直接求解了一个大的方程组
function [... |
function fig = plot_UCB1bound(fig, T, t, cum_r, N, R, selected_arm)
colors = ['m' 'g' 'b' 'k'];
hat_R = cum_r ./ N;
B = sqrt(2 * log(t) ./ N);
U = min(1, hat_R + B);
n_arms = length(cum_r);
if t < 10 || mod(t, T / 20) == 0
clf;
hold on;
for ii = 1:n_arms
errorbar(ii, hat_R(ii), U(ii) - hat_R(ii), ... |
% Snake Test
clear;
clc;
for i = 1:25
fprintf('Processing image %d...\n', i);
clearvars -EXCEPT i;
I = imread(['XRAY/', num2str(1000+i), '.png']);
m = zeros(size(I,1),size(I,2));
m(500:1200, 400:700) = 1;
ascale = 4;
%figure;
%subplot(1,2,1); imshow(I); title('Input Image');
... |
function u = LaplacePDE(g, L, n)
% Solves Laplace's equation in 2D subject to a boundary condition u(x,L)=g(x).
k=1:192;
y=linspace(0,pi,n);
Y=sinh(k(:)*y);
r=csch(pi*k);
c=sineSeries(g, L, 1024);
u=dst(diag(c(k).*r)*Y, n);
imagesc([0,L], [0,L], u');
set(gca, 'YDir', 'normal');
colormap(jet(256));
colorbar();
end |
function [pred] = SLP(W,y,l_ind,stepSize,T)
% Description
%
% SLP takes,
% W - affinity matrix, labels should be at the left-top corner,
% - should be in sparse form
% y - label vector
% l_ind - labeled indexes
% stepSize - coefficient: step size
% T - coef... |
% CR001.m
% Modelling a simple voltage divider circuit
% Ian Cooper
% School of Physics, University of Sydney
% email: ian.cooper@sydney.edu.au
% https://d-arora.github.io/Doing-Physics-With-Matlab/
% 171220
clear all
close all
clc
% INPUTS ===============================================================
emf =... |
function [A, name] = fdm_2d_matrix(n0,fx_str,fy_str,g_str)
%
% Generates the stiffness matrix A for the finite difference
% discretization (equidistant grid) of the PDE
%
% laplace(u) - fx du/dx - fy du/dy - g u = r.h.s. on Omega
%
% u = 0 ... |
function gradients(img, figNum, m1, m2, gradName)
%UNTITLED Summary of this function goes here
% Detailed explanation goes here
imgConv = uint8(conv2(img, m1, 'same'));
imgConvScale = imgConv + 128;
imgConvAbs = abs(imgConv);
figure(figNum);
subplot(2,2,1);
imshow(img);
title('Obraz originalny');
subplot(2,2,2);
i... |
clearvars -except YEAR
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%% merge IAGOS-ST daily files into annual files, to reduce overhead in data loading
%
%Corwin Wright, c.wright@bath.ac.uk
%2020/05/20
%%%%%%%%%%%... |
function line_detected_img = lineFinder(orig_img, hough_img, hough_threshold)
[theta_max, rho_max] = size(hough_img);
[ht, wid] = size(orig_img);
max_rho = sqrt(ht^2 + wid^2);
fh = figure; imshow(orig_img);
hold on;
for theta = 1 : theta_max
for rho = 1 : rho_max
if houg... |
%% Question 3c
t = linspace(-1,1,1000);
x = t;
y = t;
z = (-cos((t.^3)+1)+sqrt((cos((t.^3)+1)).^2+4*(t.^2+1).*(2-2*t.^2)))./(2*(t.^2+1));
plot3(x,y,z,'-r','LineWidth',4)
% Add labels
title('3D Plot of Z');
xlabel('X');
ylabel('Y');
zlabel('Z'); |
%% Program to check consistency of MRCPs by computing cross-correlation
% Date modified: 2-17-2015
%clear;
paper_font_size = 10;
% Subject Details
Subject_name = 'BNBO'; subj_n = 4; % change1
Sess_num = '2';
Block_num = 160;
all_Cond_num = [1 3]; % 1 - Active; 2 - Passive; 3 - Triggered; 4 - Observation % change2
clo... |
%% Initial Configurations
% clear all;clc;
%% Source parameters
fsw = 40e3;
ffund = 50;
frms = 50;
ModulationIndex1 = 0.9;
Vmodule = 270;
% Yes ESL and ESR
ESLA = 19e-9;
ESLB = 19e-9;
ESLC = 19e-9;
ESRA = 21.1e-3;
ESRB = 21.1e-3;
ESRC = 21.1e-3;
% PWM
Module1Phase = 0; %in degree
% gate driver
Ls = 0.9e-9;
Ld = 0... |
%Looking at the average firing rate for a given window in each of 4
%current/previous reward conditions
MaltValue=0.75;
load ('RAWTH.mat');
RAW=RAWTH;
%run linear model and stats? 1 is yes, 0 is no
runanalysis=1;
%get parameters
trialsback=10; %how many trials back to look
Baseline=[-11 -1]; %For normalizing activi... |
function coef_output=XuPolyFit(vec_input,vec_target,order)
%coef=XuPolyFit(vec_input,vec_target,order)
%this polyfit force the zero order coeff to be zero
if size(vec_input,1)<size(vec_input,2)
vec_input=vec_input';
end
if size(vec_target,1)<size(vec_target,2)
vec_target=vec_target';
end
matrix_input=zeros(l... |
%Inicializar o Bloom FIlter com dimensão n
function [arr] = init(n)
arr = zeros(1, n, 'uint8');
end
|
function params = bbpspline( x, order, num_seg, p_ord, lambda )
%BBPSPLINES P-spline interpolation of points in x
%
% Function interpolates points given in x using P-splines.
%
% params = bbpspline( x, order, num_seg, p_ord, lambda )
%
% Input:
% x .. points to interpolate. Each column represents a point.... |
function ground_truth = load_groundtruth(base_path, video)
%see if there's a suffix, specifying one of multiple targets, for
%example the dot and number in 'Jogging.1' or 'Jogging.2'.
if numel(video) >= 2 && video(end-1) == '.' && ~isnan(str2double(video(end))),
suffix = video(end-1:end); %remember the suffix
... |
close all
clear
setPlot
%% IEC Site definition
Vref = 60; % Reference wind speed
zref = 87.6; % Hub height above ground
Uref = 12; % Wind speed at zref
Iuref = 0.15; % Turbulence intensity
zmin = 5; % Minimum height for wind shear. From 0 to zmin, U is constant and equal to U... |
for jj =1:3
clear params_for_wrapper
T = 77; [~ , B ,~ ]= inv_cm_unit_sys(T); %needed to convert parameters in
%their equation into parameters for the HEOM
E_a = 12328;
E_b = 12472;
J = 70.7;
H_site = [E_a,J;J,E_b];
[M_prj,E_ex]= eig(H_site);
E_ex = diag(E_ex); delta_Ex = E_ex(2)-E_ex(1);
%delta_Ex = d... |
clear all; close all; clc;
x = linspace(0,5);
t = linspace(0,5);
sol = pdepe(0,@pdefun,@icfun,@bcfun,x,t);
u = sol(:,:,1);
surf(x,t,u); xlabel('Distance'); ylabel('Time'); zlabel('Wave');
|
% shows two images one on the top of another
% with corresponding SIFT points
% 'optionalTreashold' is the treshold for SIFT
% 'optionalMaxMarkSize' is the max size for displaying marks
function show2ImagesWithSiftMatches(im1, im2, optionalThreshold, optionalMaxMarkSize)
minMarkSize = 20;
% optional
if na... |
function visualizeFitsForDeconvolution(inputConeCombinationIndex, thePSFsupportDegs, thePSF, ...
conePosDegs, retinalConeImage, visualConeImage, ...
retinalConeActivations, visualConeActivations, ...
hiResPSFsupportDegs, hiResRetinalConeActivationMap, hiResVisualConeActiv... |
%define output file
filename='/home/ubuntu/IceOceanVolume/ISOMIP_PLUS/Ocean3/MakeOSF/Ocean3_COM_ROMSUTAS_FISOC_OSF.nc'
%load data
x=ncread(filename,'x');
y=ncread(filename,'y');
z=ncread(filename,'z');
[X,Y,Z]=ndgrid(x,y,z);
time=ncread(filename,'time');
meanMeltRate=ncread(filename,'meanMeltRate');
totalMeltFlux=ncrea... |
function edges = crackPattern(box, points, alpha, varargin)
%CRACKPATTERN Create a (bounded) crack pattern tessellation.
%
% E = crackPattern(BOX, POINTS, ALPHA)
% create a crack propagation pattern wit following parameters :
% - pattern is bounded by area BOX given by [xmin xmax ymin ymax].
% - each crack orig... |
function Size = getLargestClusterSize(A_g, n)
numNodes = size(A_g,1);
numNeighbors = zeros(n,1);
for i = 1:numNodes
neighbor_list = 1:n;
neighbor_list(i) = [];
for l = 1:n
mat = A_g^l;
rm = [];
for j = 1:length(neighbor_list);
if ( mat(i,neighbor_list(j)) ~= 0 )
... |
function visibility = GetVisibility(cityLocation)
numberOfCities = size(cityLocation, 1);
visibility = zeros(numberOfCities);
for i = 1:numberOfCities-1
iCityCoordinates = cityLocation(i,:);
for j = i+1:numberOfCities
jCityCoordinates = cityLocation(j,:);
... |
function accuracy = madAccuracy(predicted, real,tolerance)
%accuracy = 1-median(abs(predicted-real));
accuracy = mean(abs(predicted-real)<=tolerance);
end |
function [lindt,pm]=atx(ring,varargin)
%ATX computes and displays global information
%
%LINDATA=ATX(RING,DPP)
%
%RING: AT structure
%DPP: relative energy deviation (default: 0)
%
%LINDATA is a MATLAB structure array with fields
%
% From atlinopt:
%
% ElemIndex - ordinal position in the RING
% SPos - ... |
close all
I = imread('tumorContour.jpg');
rI = imresize( I, 2);
%[XB, YB] = find( I > 250 );
rI = imcomplement(rI);
imshow(rI)
%errn =size(XB, 1);
[X,Y] = ginput;
hold on
imshow(rI)
plot(X,Y,'r*')
n = size(X,1);
if ( X(1) < X(2) ) % forward if 1 backward if 2
q = 1;
... |
function p = depth2pressure(d,latitude)
%
% p = depth2pressure(d,latitude)
% d is depth in m
% latitude in degrees
% p is the pressure in Pa
%
% Based on the Leroy and Parthiot (1998) formula.
% See:
% http://resource.npl.co.uk/acoustics/techguides/soundseawater/content.
% html#UNESCO
... |
function [ status ] = SND_recAndPlayElaboration(fs, playDev, recDev, varargin )
%UNTITLED Summary of this function goes here
% Detailed explanation goes here
%If log on windows set with varargin log
log=false;
status='success';
stop = false;
%Some default params for fft
nAverage=1; %number of average
nLenWin=409... |
% 20161003359 อ๕ตยบใ Gogoing
% Assignment 1
% 1 A
tif_path = './data/tif_pictures/images/';
other_file_path = './data/other_files/';
% Read the pictures and write to JPEG, PNG, BMP
livingroom_tif = imread(strcat(tif_path, 'livingroom.tif'));
imwrite(livingroom_tif, strcat(other_file_path, 'livingroom.jpeg'), 'jpeg');
i... |
function [fGF,phi] = getGFOuter(formula, args, k)
global x u Z zLoop ZLoop bigM epsilon;
if length(args)>1
disp('GF takes a single argument')
return
end
% number of agents
N = length(x);
% number of states
I = size(x{1},1);
% time horizon
h = size(x{1},2)-1;
z = [];
fGF = [];
formulaAnd = strcat('And(', ..... |
function [path] = dijkstra( grid,start,stop )
%UNTITLED4 Summary of this function goes here
% Detailed explanation goes here
dist=eye(25);
parent=eye(25);
sptSet=eye(25);
for i=1:1:25
dist(i)=1000;
sptSet(i)=0;
parent(i)=start;
end
dist(start)=0;
for count=1:1:25
if count==0
u=st... |
%/**
% Скрипт формирования усеченного множества сигналов
%*/
clear
close all
clc
path_to_results_RA = [pwd '/results/radioastronomy'];
load([path_to_results_RA '/Radioastronomy_BoCsin.mat'], 'Radioastronomy_BoCsin');
load([path_to_results_RA '/Radioastronomy_BoCcos.mat'], 'Radioastronomy_BoCcos');
load([path_to_resu... |
classdef Anomer <handle
%Anomer class representing the orientation of anomeric hydroxyl group
%
% Anomer properties:
% symbol - anomer symbol
% carbonPos - the position for anomeric carbon
%
% Anomer methods:
% Anomer - create an ANOMER object
% getSymbol - retrieve the "symbol" property
% ge... |
%% BenMAP Form
Deaths = (Mortality{3,1}.*(One'*(1-(1./(exp(0.005826891.*PM_25')))))').*Pop_over_30;
Mort = sum(sum(Deaths.*WTP_Mort));
%% BenMAP Form
Infant = (Mortality{3,1}.*(One'*(1-(1./(exp(0.*PM_25')))))').*Pop_Infant;
Mort_Infant = sum(sum(Infant.*WTP_Mort));
All_Mort{1,1} = (Mort+Mort_Infant);
... |
clear all; %用于清除命令窗口中的变量
%绘制三维图形
[X,Y]=meshgrid(-8:0.1:8);
Z=sinc(X);
mesh(X,Y,Z); %效果如图1-3所示
set(gcf,'color','w'); %设置图形窗口背景为白色
[X,Y]=meshgrid(-10:0.3:10);
R=sqrt(X.^2+Y.^2)+eps;
Z=sin(R)./R;
mesh(X,Y,Z);
surf(X,Y,Z,'FaceColor','interp','EdgeColor','none','FaceLighting','phong');
... |
function[] = drqw_figures_orr_scale_1e4_kappa_1500()
% %scale: 1e0, cpu-small? kappa=1.5e5
% new_time_seq_OGD = [21 42 63 85 107 130];
% new_loss_seq_OGD = [ 8514 18256 26690 36539 44629 53216];
%
% new_time_seq_OMGD = [21 43 65 88 110 133];
% new_loss_seq_OMGD = [785 1556 2323 3093 3811 4582];
%
% new_time_seq_MOGD1... |
%
t1 = input('Enter yaw ');
t2 = input('Enter pitch ');
t3 = input('Enter roll ');
yaw = [1,0,0;0,cos(t1),-sin(t1);0,sin(t1),cos(t1)];
pitch = [cos(t2),0,sin(t2);0,1,0;-sin(t2),0,cos(t2)];
roll= [cos(t3),-sin(t3),0;sin(t3),cos(t3),0;0,0,1];
I = [1,0,0;0,1,0;0,0,1];
A = pitch*roll*yaw*I
Pf = [2;6;1];
Pm = A^-1*Pf;
di... |
function [nmodes, kr, v1, v2] = NumOfModes(w, kr, v1, v2, cpmax)
cp = w ./ real(kr);
nmodes = length( find( cp <= cpmax ) );
if(nmodes == 0)
error('Incorrect maximum phase speed input!');
end
kr = kr( 1 : nmodes);
v1 = v1(:, 1 : nmodes);
v2 = v2(:, 1 : nmodes);
end
|
function [DD]=get_input
sprintf(['\n getting user input...']);
%%
DD=evalUserInput;
%%
DD.time=catstruct(DD.time, timestuff(DD.time));
%%
sprintf(['\n setting internal parameters...']);
[DD.pattern, DD.FieldKeys]=DDpatternsAndKeys;
%%
sprintf(['\n scanning data...']);
DD.path... |
function f=commandsForTable(frt,Rtmax)
ld2date='1stFeb';
%64 sector, one projection:
X=frt;%,frt1p1(:,2:end),frt1p25(:,2:end),frt1p4(:,2:end)];
X(:,67)=sum(X(:,2:64),2)+X(:,67);
X(:,2:64)=[];
X(:,1)=discretize(X(:,1),62:7:X(end,1)+7);
X(isnan(X(:,1)),:)=[];
Y=[accumarray(X(:,1),X(:,2)),accumarray(X(:,1),X... |
% Clear the workspace and the screen
close all;
clear all;
sca
% Here we call some default settings for setting up Psychtoolbox
PsychDefaultSetup(2);
% Get the screen numbers. This gives us a number for each of the screens
% attached to our computer.
screens = Screen('Screens');
% To draw we select the maximum of th... |
%
%
% c = cfilter(x,P0,P1) is the bandpass filter extracting from the
% series x the component with periodicity [P0,P1] and stores the result
% in the column vector y. x must be a column vector, while P0 and
% P1 must be real (scalar) numbers such that P0<P1. If n is the number
% of entries in x, then y has n-1 ... |
for i = 1 : length(JT)
n = sum(JT(i,1:range(2)) > 0);
N = N + n;
JT(i,m) = sum(A(JT(i,1:n),3));
M = M + JT(i,m);
JT(i,m+1) = floor(2 * JT(i,m)*((1/n)*(1-k3)+k3))/2;
end
|
% addpath(genpath('.\'))
Lua_String = 'ar1.StartFrame()';
ErrStatus = RtttNetClientAPI.RtttNetClient.SendCommand(Lua_String); |
clc
% #############################
% Answer to 1(A)
% #############################
% 5 values with in 2 and 3 are 2.2, 2.4, 2.6, 2.8 and 3.
x = 2.2 : 0.2 : 3;
printf("Value of x:\n");
disp(x);
% Adding 1 to the second element of x. Means, adding to index 2.
x(2) = x(2) + 1;
printf("Value of x after subtraction:\n... |
% Exercise 3
% Emil Airta
%% Init
n = 2^6;
deltax = 1/n;
xvec = deltax*(0:(n-1));
a = .025;
v = round((a*n)-1);
vvec = linspace(-a+deltax,a-deltax, v*2 + 1);
p = (PSF(vvec,a));
convA = convmtx(p, n);
convA = convA(:, (v+1):(end-v))*deltax;
m = convA*targetf(xvec)';
sigma = .01;
noise = sigma*randn(size... |
%% Process loaded RT-PCR-MX-P3005 data
%averagedData is averaged RT-PCR data (averaged measurement, well+filter)
%backgroundWells is array of background wells (relative numbering 1,2,3...)
%backgroundNumber is number of background wells
%averageBackground is array of background data of each filter
%averagedDataBack is ... |
function joePerkellisGod(dentist,researcher) |
function [poses, radii] = adjust_poses_scales(poses, blocks, verbose)
%% Compute scales
% num_finger_segments = 15;
% if verbose, figure; hold on; end
% for p = 1:length(poses)
% poses{p}.edges_length = zeros(num_finger_segments, 1);
% for i = 1:num_finger_segments
% poses{p}.edges_length(i) = norm(po... |
clc
Xr=housepricesdatatrainingdata1(:,4:21);
K=[2,3,4,5,6,8,10];
JBr=zeros(1,7);
for i=1:7
JBr(i)= ClusteringReduced( K(i),Xr);
end
figure(2)
plot(K,JBr); |
function [x,timestamp] = segmentation(x,timestamp)
%THE INPUT TO THIS FUNCTION MATRIX X SHOULD BE IN FOLLOWING FORMAT
%TRIPID/TIMESLOT/LATITUDE/LONGITUDE
latitude=x(:,3);
longitude=x(:,4);
r=((latitude>37.73& latitude<37.8) & (longitude>-122.45 & longitude <-122.4));
r_1=find(~r);
tripid=x(:,1);
ids=zeros(lengt... |
function [L, gradh2o, gradh1h2, gradih1] = nnCostFunctionSig(X, y, thetaih1, thetah1h2, thetah2o, lambda)
ntrain = length(y)
nhidden2 = length(thetah2o(:, 1)) - 1
nhidden1 = length(thetah1h2(:, 1)) - 1
anon1 = sigmoid(X * thetaih1)
a1 = [ones(ntrain, 1) anon1] % hidden layers values with ... |
classdef ProbDist
% This class represents an abstract proability distribution, e.g. a pdf or pmf.
% All PMTK probability distributions inherit directly or indirectly from ProbDist.
%% Main methods
methods
%{
function nll = negloglik(obj,X)
% The negative log... |
beta = 1/6; gamma = 1/2;
dt = 0.1;
[t1,d1,v1,a1] = newmark(beta,gamma,dt);
dt = 0.05;
[t2,d2,v2,a2] = newmark(beta,gamma,dt);
dt = 0.01;
[t3,d3,v3,a3] = newmark(beta,gamma,dt);
% ----- plotting ----- %
figure(1);
line([0 2],[0 0],'color','black');
grid on;
hold on;
Plot_d1 = scatter(t1,d1,'b');
Plot_d2 = scatter(... |
function [v2, f2, bE] = clipMeshByPlane(v, f, plane, varargin)
%CLIPMESHBYPLANE Clip a mesh by a plane.
%
% [V2, F2] = cutMeshByPlane(V, F, PLANE)
% Clip a mesh defined by the vertices V and faces F by a PLANE and return
% the part of the mesh (V2, F2) above the plane.
%
% [V2, F2, ENEW] = cutMeshByPlane(V, F, ... |
clear all; close all; clc;
% Animations of the billiard trajectory
% Our Difference Equation for Square Billiards:
% x(n+1) = f(x(n)). f is too complex to write here. Refer to written notes.
N = 100; % number of iterations/maps (bounces)
%% Period 4 orbit with lines and dots. Trivial angle of pi/4 and p... |
% Load NXT SCARA Parameters
param_plant % Plant Parameters
param_controller % Controller Parameters
param_sim % Simulation and Virtual Reality Parameters
% Reference Parameters (Circle)
cp_ptp = cal_cp_ptp('Circle', ts1, l1, l2);
param_ref
|
function [outputM] = mirror(inputM)
[yDim, xDim] = size(inputM);
outputM(yDim, xDim) = 0;
temp(yDim,1) = 0;
y = xDim;
if (mod(xDim,2)) % odd case
for i=1:1:(y/2-.5)
temp = inputM(:,xDim);
outputM(:,xDim) = inputM(:,i);
outputM(:,i... |
% written by ChengEn Lu
% This function gets sequence from the start point to the edpoint in a
% staight line
function [lineseq] = getLineSeq(startpoint, endpoint)
startpt = round(startpoint);
endpt = round(endpoint);
subdst = endpt - startpt;
[maxval, idx] = max(abs(subdst));
if(maxval == 0)
... |
% Setup_Demo is used to set the task, the visual input and the plotting
% of the simulation. Only this file has to changed when running a
% simulation with FEF_DEMO.
%
% created: Jakob Heinzle 04/07
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% select the task you want to run and define the... |
function [behavioral_data, all_data_fields] = dsp__get_behavioral_data( db, SESSIONS )
assert( isa(db, 'DictatorSignalsDB'), ['Expected input to be a DictatorSignalsDB' ...
, ' object; was a ''%s'''], class(db) );
DATA_FIELDS.meta = { 'session', 'actor', 'recipient', 'drug' };
DATA_FIELDS.gaze = { 'x', 'y', 't' };
... |
% Script to find valve actuator parameters that match frequency response
% using the direct method (time domain).
% Copyright 2010 MathWorks, Inc.
% This script file is designed to find three parameters of the
% valve actuator: Gain, Time Constant, and Saturation, by directly
% measuring its frequency response to sin... |
function lpall = readAllOmpExp(lpall)
% OMPT
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%%%%%%%%%%%%%%%%%%%%%%%%%55
%%%% 2010
% 20x20
lpall(end+1).dirPath='g:\Data\2010\October 2010\October 25 OMP Bulb';
lpall(end).fileIndx=5;
lpall(end).cluster=1;
lpall(end).mouseType = 'OMP';
lpall(end).anest = 'ketamine';
l... |
function layout_obj = two_heights_6_turb()
%two_heights_6_turb Summary of this class goes here
% Detailed explanation goes here
NREL5MWTurbType = nrel5mw;
NREL5MWPole2 = nrel5mw;
NREL5MWPole2.hubHeight = 100;
locIf = {[300, 100.0];
[300, 300.0];
[300, 500.0];
[1000, 100.0];
... |
function newResources = updateTargetResources(orgTargetResource, coalitionPerformances, visits)
visits = visits+1;
coalitionResources = repmat([3 0 0],length(coalitionPerformances),1);
newResources = orgTargetResource(1);
while visits >= 1
newResources = newResources - sum(coalitionPerformances.*coalitionRes... |
clc
syms s t
x(t)=exp(-t)*heaviside(t);
h(t)=exp(-2*t)*heaviside(t);
x(s)=laplace(x(t))
h(s)=laplace(h(t))
y(s)=x(s)*h(s)
y(t)=ilaplace(y(s)) |
function param = parametros(data)
% Set the Real mechanism parameters
param = struct();
%% Simulation parameters
param.end_time = data.duracion; % final time
param.dt = data.At; % time step
param.tol = 1e-9; % Initial position tolerance
param.tol_dyn = 1e-9;% dynamic tolerance
param.iter_max = 100; % Maximum it... |
I=imread('F:/2019/CITRA/6_textures.bmp');
canny =edge(I,'canny');
sobel =edge(I,'sobel');
robert =edge(I,'roberts');
prewit =edge(I,'prewitt');
subplot (2,5,1)
imshow(canny);
title ('gambar 1')
subplot (2,5,2)
imshow (canny);
title ('gambar 2')
subplot (2,5,3)
imshow (canny);
title ('gambar 3')
subplot (2,5,4)
imshow (... |
function plot_4(t,x,y,omega,X,Y,H,title_filter)
%plot 1
subplot(3,2,1);
plot(t,x,'b');
title('Seņal Pulso Rectangular x(t)');
axis([-3 3 -0.2 1.4]);
xlabel('t');
ylabel("x(t)");
%plot 2
subplot(3,2,2);
stem(omega,fftshift(X),"r");
axis([-50 50 -200 200]);
title('Transformada de Fourier X(\omeg... |
% 4. Error Probability for QPSK Modulation in AWGN Channel
% Author: Seyed Mohammad Mehdi Hosseini (Smmehdihosseini@gmail.com)
%Part 1
l_a=400000;
M=4;
a=randi([0,3],1,l_a);
SNR=-40:12 ;
len_SNR=length(SNR);
txSig=pskmod(a,M,pi/4);
p_err_vec=zeros(1,len_SNR);
for k=1:len_SNR
rxSig=awgn(txSig... |
function dir=MNewton(Q,L,Y)
% max 1/2*trace(Y'*Q*Y)+trace(Y'*L)
% s.t. Y'*Y=I
% One Riemannian Newton's direction for the subproblem at the point Y.
% Q symmetry
% The code for the Algorithm 2 in the article
% We use Y to denote to the \gamma in the article
[p,d]=size(Y);
Yc=orthcompII(Y);
W1=Y'*Q*Y;
W2=Y'*Q*Yc;
W4... |
tmax=time_stamp
close all
% PARTS_EFF=find((mean(power_exchange_evol(:,:),1)>=1.2e8).*(alphas_Ekin'<=2.8e6));
PARTS_EFF=find(((mean(power_exchange_evol(1:tmax,:),1))>=1.2e6));
figure(2)
subplot(2,1,1)
grid on
hold on
plot(pphi_output(:,PARTS_EFF),'b')
plot((mHe/eV)*(R0+Xpos_part_output(:,PARTS_EFF)).*vphi_output(:,... |
function [g] = get_gradient_from_normal_vector(nv, rad)
sz = size(nv);
nv = extend_img(nv, rad);
sz2 = size(nv);
gx = zeros(sz2(1 : 2));
gy = zeros(sz2(1 : 2));
% set parameters
sigma = 0.7;
weight_vector = fspecial('gaussian', [2 * rad + 1, 1], sigma);
for r = rad + 1 : rad + sz(1)
for c = rad + 1 : rad + sz(2)
... |
%»ìãç·¨¶þ´Î±æʶ
clc;
clear all;
close all;
load wtankjy;
TA=clock;
[lp,m]=size(Y);
if lp<m
lp=m;
end
Kmax=18;
Kmin=10;
Tmax=370;
Tmin=220;
step=100;
QB=10e40;
u(1:lp)=u2-u1;
Khi=[];
Thi=[];
temp1=rand();
temp2=rand();
for i=1:step
for n=1:1
temp1=4.0*temp1*(1-temp1);
... |
%% Load data
datapath0 = '/snel/share/share/data/NW_Emory_Data_Sharing/Jango/Jango_WF_Isobox_2016/xds/Jango_20160626_001.mat';
datapathk = '/snel/share/share/data/NW_Emory_Data_Sharing/Jango/Jango_WF_Isobox_2016/xds/Jango_20160627_001.mat';
day0_data = load(datapath0);
dayk_data = load(datapathk);
day0_spikes = {da... |
function filter_exp = design_filter_3(model)
% Design a Gaussian filter for smoothing between forward and backward
% advection
%
%% Get parameters
sigma_filter=model.advection.sigma_filter;
%% Grid
x= model.grid.x;
x = x -mean(x);
y= model.grid.y;
y = y - mean(y);
[x,y]=ndgrid(x,y);
%% Filter
filter_exp = exp( - 1/(... |
clear all
pa_datadir JR-RG-2012-02-22
load JR-RG-2012-02-22-0001
SupSac = pa_supersac(Sac,Stim,2,1);
K=SupSac(:,23)<11 & SupSac(:,24)<11;
H10=find(K);
A=numel(H10)/400
%
K=SupSac(:,23)>10 & SupSac(:,23)<31 | SupSac(:,24)>10 & SupSac(:,24)<31;
H30=find(K);
B=numel(H30)/400
... |
%% DIGITAL IMAGE PROCESSING - Aristotle University of Thessaloniki
% Assignment 2 - Summer Semester 2020/2021
% Kavelidis Frantzis Dimitrios - AEM 9351 - kavelids@ece.auth.gr - ECE AUTH
% Description:
% The topics of this assignment are:
% 1. Representation of Images as graphs
% 2. Image segmentation using Spec... |
% BOOT.M
% Lutz Kilian
% University of Michigan
% April 1997
function [CI]=boot(A,U,y,V)
global p h
nrep=2000; % for 90% interval
p=4;
h=40;
[t,q]=size(y);
y=y';
Y=y(:,p:t);
for i=1:p-1
Y=[Y; y(:,p-i:t-i)];
end;
Ur=zeros(q*p,t-p);
Yr=zeros(q*p,t-p+1);
IRFrmat=zeros(nrep,q^2*(... |
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