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function vout = upsample_r(vin,n)
% upsample by fast linear interpolation, first dimension taken as time
% axis
% note: MATLAB upsample just insert zeros
% Copyright 2017 Yulin Wu, University of Science and Technology of China
% mail4ywu@gmail.com/mail4ywu@icloud.com
if n == 1
vout = vin;
... |
% This program computes the value of linear performance functions between gene expression
% profiles grouped in clusters
%
% Clustering solutions were computed through stability analysis
%
% Clustering performance functions: Hav (average homogeneity), Sav (average
% separation) and GOTOav (average gene ontology ... |
%% RBES_search_thread.m
clear java
% global db_pack_EOS
%% RBES Init
RBES_Init_Params_EOS;% create params structure
[r,params] = RBES_Init_WithRules(params);% Init RBES with params
% save rbes_eos.mat;
% load rbes_eos.mat;
%
%% Init database and plot
db_pack = get_db_pack('db_pack_EOS.mat');
% db_pack_EOS = java.util... |
function feature_array=singleNum_feature_extraction(image)
%该程序可以提取一张图片中数字的特征，返回的特征数据为1*100的矩阵
%image为待提取特征的图片名
src_image=imread(image);
src_image=rgb2gray(src_image);
[src_width,src_height]=size(src_image);
%将手写板保存下来的图片中显示坐标轴的部分截除掉
num_image=src_image(1:src_width-4,5:src_height,:);
%图像灰度值非0即255
num_width=size... |
function zi = griddata_extend(x,y,z,xi,yi)
%function zi = griddata_extend(x,y,z,xi,yi)
%
% a wrapper to griddata which appends the point list to add points in the
% corners. This is done so that the borders of the output are not nan.
newxy(:,1) = [min(xi(:));min(yi(:))];
newxy(:,2) = [max(xi(:));min(yi(:))];
newxy(:,... |
T3= (A*B)*C
T3 =
24 14
20 11
>> T4= A*(B*C)
T4 =
24 14
20 11
%Verdadeiro |
%% dict_hrFromLr_tests
%%
sz = 3;
dorep = 1;
rng = linspace( 0, 1, sz );
[x,y] = ndgrid( rng, rng );
D = [ x(:), ones(numel(x),1), cos(pi.*x(:)), sin(pi.*x(:)) ]';
%% include rotations of each element
rxi = cell2mat( xfmToIdx( squareSymmetry(), [sz sz], 0 ));
rxi = rxi';
nRxi = size(rxi,1);
nD = size(D, 1);
Dbig... |
% evaluate measurement point in LUMOS
%
% Author: Frederic Rudawski
% Date: 16.05.2020, last edited: 14.02.2021
function point = point_evaluation(P,surfaces,sky,ground,lambda,nord_angle,TR,pnt,luminaires,DF)
% initialitze return value
point = [];
% point normal
%p.normal = [cosd(p.elevation)*cosd(p.azimuth+90) cosd(p.... |
function [n] = two_norm(dWi,dWo)
%
% Calculates the Euclidian length of the total weight vector,
% i.e. the 2-norm.
%
% Input:
% dWi : Matrix with input-to-hidden gradient
% dWo : Matrix with hidden-to-outputs gradient
% Output:
% n : 2-norm of total gradient
n = sqrt( sum(s... |
function setFigureForPrinting(h)
width=3.5; height=3.5;
%set(gcf,'InvertHardcopy','on');
set(h,'PaperUnits', 'inches');
papersize = get(h, 'PaperSize');
left = (papersize(1)- width)/2;
bottom = (papersize(2)- height)/2;
myfiguresize = [left, bottom, width, height];
set(h,'PaperPosition',... |
%% Part A
clear all;close all; clc;
% Parameters
f0 = 5*10^6;
fs = 100*10^6;
c = 1540;
% Wavelength
lamda = c/f0;
% Axial Resolution
deltaX = 0.5*(c/f0);
% Reading RF-line data and determining length
load US_Lab_SectionA_RF_Data;
MLength = length(rf_line_A);
% Relationship
deltaT = 1/(2*fs);
t = deltaT ... |
%% MasterControlUpdatedEventData
% EventData class for handling master control updates.
classdef MasterControlUpdated < event.EventData
properties
Enabled logical;
end
methods
function this = MasterControlUpdated(enabled)
arguments
enabled logical;
... |
function [ number spk_stream ] = util_find_spikestream( D )
%UTIL_FIND_SPIKESTREAM Find SPIKE STREAM in the MCS datafile
% Return the number and corresponding names of SPIKE STREAMs
% Input:
% D: Datastrm object
% Output:
% number: Number of Spike streams
% spk_stream: Cell a... |
function out = get_freq_from_db(db, r, opt)
ensure_opt
EEG = recoverEEG(db, r, 'local', 'interp');
% TEMP FIX - remove empty events
tp = {EEG.urevent.type};
empt = cellfun(@isempty, tp);
EEG.urevent(empt) = [];
tp = {EEG.event.type};
empt = cellfun(@isempty, tp);
EEG.event(empt) = [];
freq = get_freq(EEG, opt);
% c... |
function[a] = sigmoid(h)
%SIGMOID takes vector h and transforms it into a sigmoid in range (0,1)
a = 1 ./ (1 + exp(-h));
end |
%
% Copyright 2016 MathWorks, Inc
%
function results = mapcarriertocountusingds(input)
tbl = input{1};
intermKeys = tbl.UniqueCarrier;
[intermKeys, ~, idx] = unique(intermKeys);
intermValues = num2cell(accumarray(idx, ones(size(idx))));
results = cellfun( @(x,y) {x,y} , intermKeys, intermValues,'Uni... |
num = [0 0 0 108 48667]
den = [0 480 14840 181560 22580]
%cálculo de polos y ceros
zeros = roots (num)
polos = roots (den)
%polos = pole(funciontrans) %mismo cálculo que la fila anterior
funciontrans = tf(num,den) %función de transferencia
zpk(funciontrans) %continuouns-time transfer function
damp(funciontrans) %cont... |
[J meta] = readMetaImage('headRealistic.mhd');
origin = -(meta.DimSize-1)/2 .* meta.ElementSpacing;
figure;
imagesc(I'), colormap gray; axis image;
factors = [2 2];
meta.DimSize = size(J) .* factors;
meta.ElementSpacing = meta.ElementSpacing ./ factors;
I = imresize(J, meta.DimSize,'nearest');
fprintf('Painting ti... |
function area = area_trapecio(mem)
areas=zeros(3,1);
if mem(1) != mem(2)
%área del triángulo base por altura sobre 2
areas(1)=(mem(2)-mem(1))/2;
endif
if mem(2) != mem(3)
%área del triángulo base por altura sobre 2
areas(2)=mem(3)-mem(2);
endif
if mem(3) != mem(4)
... |
figure;
clear;clc;
q_array=[30,60,40];%指定起止位置
t_array=[0,2,4];%指定起止时间
v_array=[20,30,20];%指定起止速度
a_array=[2,4,2];%指定起止加速度
t=t_array(1);q=q_array(1);v=v_array(1);a=a_array(1);%初始状态
for i=1:1:length(q_array)-1 %每一段规划的时间
T=t_array(i+1)-t_array(i);
a0=q_array(i);
a1=v_array(i);
a2=a_array(i)/2;
a3... |
clc
clear
A = [2 -5 3;
-1 8 5;
4 -1 7;
-1 3 2];
b = [3, 5, -2, 4]';
% QR-factorization on augumented system A, b
R = HouseholderQR([A, b])
R = R(1:3,:) % Ta bort sista raden
xr = R(:,1:3)\R(:,4)
R = [R; 1, 2, 6, 5] % Ny data läggs till
R = QRUpdateRow(R) % Uppdatera R, bara... |
% He Feng
% EE 440 Final Project
% Emboss Effect
function K = Emboss(f0)
% Determine the input image size.
image_size = size(f0);
dimension = numel(image_size);
% If it is a color image, change it to a RGB image.
if dimension == 3
f0 = rgb2gray(f0);
end
% Add multiplicative noise with variance 0.01... |
% Run gradient descent:
% Compute theta
theta = gradientDescent(X, y, theta, alpha, iterations);
% Print theta to screen
% Display gradient descent's result
fprintf('Theta computed from gradient descent:\n%f,\n%f',theta(1),theta(2))
% Plot the linear fit
hold on; % keep previous plot visible
plot(X(:,2), X*theta, '-'... |
function [consistent, kappa] = checkLassoSignConsistency(Sigma, w)
% Sigma is a covariance matrix, w is a dx1 weight vector
% Let J be the relevant variables, Jc be the irrelevant
% The data generator is sign consistent iff
% ||(S_{J^c,J})*(S_{J,J}^-1)*sign(W_J)||_inf <= 1
rel = find(abs(w) > 0);
irrel = find(w... |
function uq_print_uq_default_input( module, varargin)
% UQ_PRINT_UQ_DEFAULT_INPUT prints out information about an input object
%% Parameters
Options.MaxStrLength = 20;
Options.Ndigits = 3;
Options.ColMaxWidth = 30;
%% Consistency checks
if ~strcmp(module.Type, 'uq_default_input')
error('uq_print_uq_default_input ... |
function [xhat_new,P_new] = kalman_filter(A,C,R,Q,P,xhat,y)
%KALMAN_FILTER Summary of this function goes here
% Detailed explanation goes here
x_step = A*xhat;
P_step = A*P*A'+Q;
Kk = P_step*C'*inv(C*P_step*C' + R);
xhat_new = x_step + Kk*(y - C*x_step);
m = size(Kk*C,1);
P_new = (eye(m) ... |
close all
clc
clear all
num_files = size(dir('../workspace/real flights/'),1);
for i = 3 : num_files
workspace = dir('../workspace/real flights/');
filename = ['../workspace/real flights/' workspace(i).name];
load(filename);
figure;
printing_workspace(area, obstPoints, minimumPath... |
clear all; close all; clc
% here's part from class
% load data ...
% do wavelets ..
% take svd ...
data = [5+ 2*randn(32*32, 80), .1*randn(32*32, 80)];
[u,s,v] = svd(data,0);
% *** so replace above with the real cat and dog data ***
% set up
xdog=v(1:80,2:4);
xcat=v(81:160,2:4);
xtrain=[xdog(1:50,:);xcat(1:50,:)... |
function prob = ProbLink(Rs,Rc,Ri,link)
% link = [sen com]
prob = double(0.0);
s = Rs(link(1));
ii = Ri(link(1),link(2));
c = Rc(link(2));
prob = s*ii*c;
return
|
function git( varargin)
% Wrapper function for calling git command.
% First, set default path for git. On Windows, we assume git is
% installed under CYGWIN. On UNIX, we assume git is in the path.
if ispc
gitcom = 'c:/cygwin/bin/git';
else
gitcom = 'git';
end
buf = char(zeros(1,1000));
n = length(gitcom) + ... |
f = @(x) 100 * (x(2) - x(1)^2)^2 + (1 - x(1))^2;
g1 = @(x) -400 * (x(2) - x(1)^2) * x(1) - 2 * (1 - x(1));
g2 = @(x) 200 * (x(2) - x(1)^2);
x0 = [0, 0];
eps = 10 ^ (-5);
min = newton(f, g1, g2, x0, eps)
function result = newton(f, g1, g2, x0, eps)
result = x0;
grad = @(x)[g1(x), g2(x)];
h11 = @(x) 1200 * x(1)^2 ... |
%
% Usage: Z =mexCalcXY(X,Y);
%
% Name: mexCalcXY
%
% Description: Compute Z=XY using the BLAS library used by SPAMS.
%
% Inputs: X: double m x n matrix
% Y: double n x p matrix
%
% Output: Z: double m x p matrix
%
% Author: Julien Mairal, 2009
|
%
% J.T. Ouwerling <j.t.ouwerling@student.rug.nl>, University of Groningen
% Date created: June 10, 2015
%
% This file is the imperative program which is connects the dic
% parts together. It has several sections, which are clearly indicated
% in the code.
%
% 1. Instruction messages and configuration input
... |
% This is the example starting on Slide 4 of lecture 27
n = 4; % number of states
T = 3; % final time increment
% costs
% u 1 2 3 4 states
gxu = [ Inf, 2, 6, Inf; % 1
Inf, Inf, 3, 8; % 2
Inf, 1, Inf, 4; % 3
Inf, Inf, Inf, 0 ]; % 4
% final co... |
clear all;
load Ho11.mat;
load delEc.mat;
load n.mat;
D=Ho11+delEC;
clear H11 delEC;
%D=sparse(D);
[Cmn,E]=eigs(D,5,2.8);
%save EigenVector.mat Cmn;
%save EigenEnergy.mat E;
E=real(diag(E));
[E,index]=sort(E);
E
index
save index.mat index;
|
function info = readJSON(fname)
fid = fopen(fname);
raw = fread(fid,inf);
str = char(raw');
fclose(fid);
info = jsondecode(str);
end |
function handle = face2DVisualise(vals, patches)
% FACEPATCHVISUALISE For updateing a face representation of 3-D data.
global PATCHINFO
PATCHINFO.moveMode = 0;
numMark = size(vals, 2)/3;
valsx = vals(1, 1:numMark);
valsy = vals(1, numMark+1:2*numMark);
valsz = vals(1, 2*numMark+1:3*numMark);
PATCHINFO.points = [val... |
% Defines the minimum and maximum lateral limits (i.e., the overtaking window and the critical zone).
% Initialise data
%% sampling interval
task.s=linspace(0,task.E.horizon,task.N)'; %[m] relative distance vector
task.ds=task.s(2)-task.s(1); %[m] samp... |
classdef List < handle
properties (Constant)
DELIMITER = '`';
SUFFIX_PATTERN = '\w+';
LIST_PATTERN = [ ...
'!list\(\s*(', ...
parser.List.DELIMITER, ...
parser.List.SUFFIX_PATTERN, ...
')\s*\)', ...
];
WRAP = 75;
end
... |
function dist = calculateDistance( A, B )
dist = sqrt((A.x - B.x)^2 + (A.y - B.y)^2);
end |
function thr = calthreshold(coefs,str)
meants = mean(coefs);
medts = median(coefs);
switch str
case 'global_mean'
thr = mean(meants);
case 'global_sdmed'
thr = std(medts);
case 'local_mean'
thr = mean(meants(end-20:end));%+std(meants(end-20:end));
case 'local_med'
thr = s... |
function H = irpHough(B, r)
% H = irpHough(B, r)
% Berechnet einen 2d Hough-Raum 'H' für Kreise mit Radius 'r' mit Hilfe
% eines binarisierten Bildes 'B'.
%
% Parameter:
% 'B' Binarisiertes Bild
% 'r' Radius der Kreise
%
% Rückgabewerte:
% 'H' 2d Hough-Raum
[numrow, numco... |
function ret = wrap_boundary_with_edgetaper(img, wrapped_size, psf_size, taper_kernel_sigma)
img2 = wrap_boundary_liu(img, wrapped_size);
taper_kernel_size = max(psf_size)*2+1;
if ~exist('taper_kernel_sigma', 'var')
taper_kernel_sigma = taper_kernel_size / 6;
end
taper_kern... |
function [ini]=genera_ini (p,ndata,dmax,nite,nstatesmax)
ruta0=cd;
rutapro='P:\BrainDynamicsLab\Software\HSMM\Software HSMM\hsmm31Mar2020';
cd(rutapro)
for kstate=2:nstatesmax
for j=1:nite
ini{kstate}(j,:)=util.unirndseq(ndata-p,kstate,dmax);
end
end
cd(ruta0)
end
|
% simulate random data with power-law eigenspectra and evaluate
% cross-validated PCA analysis
function suppfig_simdata(matroot)
load(fullfile(matroot,'simSpectrum.mat'));
%%
close all;
default_figure([1 1 6 2]);
%%
xh = .65;
yh = .65;
clf;
i=0;
cm = colormap('winter');
cm = cm(1:12:end,:);
i=i+1;
hs{i}=my_subplot(1,... |
% Load data
path2data = '~/research/data/processed/webcritech/';
load([path2data 'webcritechHar.mat']);
load([path2data 'webcritechStationLoc.mat']);
load([path2data 'webcritechSumHar.mat']);
% Remove 0 component
har2 = har(:,:,2:4);
% Sum constants
for k=length(ids)
sumHar(k,1:70) = sqrt(har2(k,:,2).^2+har2(k,:... |
%% operation registers
Opr_Mode = hex2dec('3D');
AccMag_mode = bin2dec('0100');
Config_mode = bin2dec('0000');
NDOF_mode = bin2dec('1100');
unit_sel = hex2dec('3B');
%% data registers
LSB_Ax_r = hex2dec('08');
MSB_Ax_r = hex2dec('09');
LSB_Ay_r = hex2dec('0A');
MSB_Ay_r = hex2dec('0B');
LSB_Az_r = hex2dec('0C');
M... |
%%Read the data into a 3D array
Raw = dlmread(['Raw0.txt'],';');
Raw = reshape(Raw',22,6,size(Raw,1)/6);
Raw = permute(Raw,[2,1,3]);
%Raw(1,:,:) = Raw(1,:,:) - 40;
Filtered = dlmread(['Filtered0.txt'],';');
Filtered = reshape(Filtered',22,6,size(Filtered,1)/6);
Filtered = permute(Filtered,[2,1,3]);
Predicted = dlmr... |
classdef Location < matlab.mixin.Copyable
%LOCATION - ECEF Location
properties
ecef = [0 0 0]; %ECEF X,Y,Z (m)
spheroid=wgs84Ellipsoid('meters'); %Default to wgs84
end
methods
function obj=Location(lat,lon,alt)
% Location Co... |
function [ RRMSE_Original, RRMSE_Achieved,Current_Iterative_Image,objective_array ] =myMainScript(alpha,gamma,prior_type)
load('../data/assignmentImageReconstructionPhantom');
%initialization
%added
kSpaceData = imageKspaceData;
mask = imageKspaceMask;
%
InputImage = kSpaceData;
Current_Iterative_Image = ifft2(... |
function [yPredicted,yTrainPredicted,output,classifier] = apply_classifier_gau(training,testing,varargin)
%TEST_CLASSIFIER extract features that will be used later by the
%classifier
% YPREDICTED = TEST_CLASSIFIER(TRAINING,TESTING). training and testing
% are structures where the temporal features(training.featur... |
function [BL,BM,BS] = getBL(i,growth_raw_mat,BLprev,BMprev,BSprev)
BLgrowth_raw = growth_raw_mat(1,i);
BMgrowth_raw = growth_raw_mat(2,i);
BSgrowth_raw = growth_raw_mat(3,i);
BLGrowth = BLgrowth_raw^10; % Raise to the power of 10 b/c this is yearly, and we are dealing w 10-year gap
BM... |
%{
Jacob Leonard
ITP 168 - Fall 2015
jaleonar@usc.edu
Revision History
Date Changes Programmer
-------------------------------------------------
10/7/2015 Original Jacob Leonard
%}
A = importdata('matrix.txt',',');
rows = size(A,1);
columns = size(A,2);
B = zeros(1,rows*columns... |
for i = 1:4
[pc, d, ntrial] = getPerf(trialInfo(i).correct,trialInfo(i).response,trialInfo(i).targettype);
fprintf('pc: %2.2f dprime: %2.2f ntrial: %1.0f \n', pc, d, ntrial)
end
|
%clear;
%close all;
clc;
clearvars -except 'Robot_A_inc_trajectories' 'Robot_B_inc_trajectories' 'Robot_A_inc_cov' 'Robot_B_inc_cov';
scenario = 'mr_centralized_laser';
rsults_folder = 'no_lc_no_mr';
path_to_results = ['..' filesep 'mrbsp_scenarios' filesep 'scenarios' filesep scenario filesep...
'results' filesep... |
function al_predictionSpot(taskParam)
%AL_PREDICTIONSPOT This function prints the prediction spot
%
% Input
% taskParam: structure containing task parameters
%
% Output
% ~
% Compute coordinates of prediction spot
xPredS = ((taskParam.circle.rotationRad-5) * sin(taskParam.circle.rotAngle));
yPredS = (... |
function print_mat(A)
for i = 1:size(A, 1)
for j = 1:size(A,2)
fprintf('%f,', A(i,j));
end
fprintf('\n');
end
end |
%% Loading
close all; clc;
load('201401020600_WLS200S-17_data_.mat');
ts_VAD = data.ts;
az_c_VAD = data.az_c;
az_c_VAD = az_c_VAD + 180;
rs_VAD = data.rs;
el_VAD = data.el;
rg_VAD = data.rg;
x_VAD = data.x;
y_VAD = data.y;
z_VAD = data.z;
cnr_VAD = data.cnr;
%% Step 1
% Write Data to one double struct
data_VAD = [t... |
function producebufop()
Ei=35
% scattering plane has to be a-b plane (redefine lattice directions if necessary)
% (h,2h,l) scattering zone
lowerA3=-80;upperA3=100;
Qord1=[0.5;+1.0;0]; % first entry is (m,0,0), second is (0,0,1)
% Qord1=[0.5;0;0];
u=1;
ki=sqrt(Ei/2.072);kf=sqrt(Ei/2.072);
% deff=sqrt(1/((1/7.... |
% Generate heart rate variability timeine from QRS time locations
% Author: George Tanev
% Input:
% - qrs_time: timeline of detected QRS locations
% - f_resample: resampling frequency to have a uniform time between HRV
% samples
% - fs: sampling frequency of ECG signal
% Output:
% - HRV: computed from difference o... |
clear
ephonefname = 'e:\spezio\matlab\scripts\tdt\Xstim\HRTFfilts\901etbks.imp';
Fs = 30000;
% Initialize Application and get AP2 and XBUS locks
if(S232('S2init', 0, 'INIT_PRIMARY', 1000) == 0)
disp('Cannot initialize a secondary process')
return;
end
if(S232('APlock', 100, 0) == 0)
disp('Cannot acqu... |
function [vd, ve] = cinematica_inversa(v, w)
vd = (2*v+0.35*w)/2; %vd=(2v+Lw)/2
ve = (2*v-0.35w)/2; %ve=(2v-Lw)/2
end |
function main()
close all;
% Initialize variables
p=8;
N=3;
min_value = -3.5;
max_value = 3.5;
load('source.mat')
x_length = length(x);
R = zeros(p,p);
r = zeros(p,1);
% Calculate array R and vector r
for i=1:p
sum_r=0;
for n=p+1:x_length
sum_r = sum_r + x(n)*x(n-i);
end
r(i) = sum_r * 1/(x_le... |
%
% lagrangeInterpolation(points, debug=false)
%
% By: Christopher Smith
%
% Usage: f = lagrangeInterpolation([0, 1; 2,3; 4,5])
%
% Description:
%
% Generates a polynomial fit for the input points
% using the Lagrange Interpolation method.
%
% Arguments:
%
% points: A n x 2 matrix of x,y pairs (x... |
tradetime = zeros(1);
hurst_yield = zeros(1);
object_money = zeros(1);
object_yield = zeros(1);
for i = 1:lastcol
tradetime(i) = max(buy{1,i},sell{1,i});
hurst_yield(i) = (money(i)-10000)/10000;
object_money(i) = 10000/in1(1)*in1(find(time == tradetime(i)));
object_yield(i) = (object_money(i)-10000)/100... |
clear; close all;
DIR = './';
FILENAME = 'vaiueo2d.wav';
[y,fs1] = audioread([DIR FILENAME]);
sound(y,fs1);
%% new EPD
% [staPT, endPT] = EPD(y,fs1,1)
staPT = 2361;
endPT = 16181
y1=y(staPT:endPT);
time6=(endPT-staPT)/fs1;
audiowrite('./clip.wav',y1,fs1);
fs = 16000;
y = resample(y1,fs,fs1);
framelen = 0.092; % se... |
% Given appropriate temperature gradients in wda, estimate volume avg Kt, Jq
% [wda] = process_wda_estimate(chi, chi_wda)
%
% Inputs:
% chi : nominally chi structure to process chi.
% Alternatively can provide 1 sec averaged T to estimate just the ...
% mean sorted gradient
% ... |
t = [0:0.01:0.98];
y1 = sin(2*pi*4*t)
y2 = cos(2*pi*4*t)
plot(t, y1)
hold on;
plot(t, y2, 'r')
xlabel('sine')
ylabel('cosine')
legend('sin', 'cos')
title('plot example')
print -dpng 'testPlot.png' |
%IN PROGRESS
% Initial data loading from
% Feature selection and classification for EMG data
% Sam Michalka 6/30/2020
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%%%%%%%%%%%%%%%%% File name setting %%... |
%read in images
%I and I2 were taken by me
I = imread("myimgA.jpg");
I2 = imread("myimgB.jpg");
I3 = imread("snow1.jpg");
I4 = imread("venice1.jpg");
%apply img4 function to images. img4 function explained below.
sep = img4(I);
sep2 = img4(I2);
sep3 = img4(I3);
sep4 = img4(I4);
%show images before and after function
... |
% s
function setup( band )
% Make sure SMURF_EPICS_ROOT is pointed at the demo for all following
% matlab commands; otherwise someone doing software testing could screw up
% testing with the blade connected to the cryostat.
setenv('SMURF_EPICS_ROOT','demo_epics');
if( ~exist('band', 'var' ) )
band... |
% Map bits following 128-QAM constellation
function [ data_map ] = QAM128( data )
f=1;
data_map = zeros(1, length(data)/7);
%64 IV
for v=1:7:length(data)-6
if f<=length(data)/7
if data(v)==0 && data(v+1)==0 && data(v+2)==0 && data(v+3)==0
if data(v+4)==1 && data(v+5)==0 && data(v+6)==0
... |
function im1 = enc_edgy(im,val)
[row,col]=size(im);
for i = 1:1:row
for j = 1:1:col
temp = im((i),(j));
im((i),(j)) = pix_mod(temp,val(i,j));
end
end
im1 = im;
end |
clear
% Make the data.
Fs = 500; % Example sampling frequency.
T = 1000; % Example duration of data.
N = T*Fs; % Total number of data point.
% Noise data.
d1 = randn(N,1);
d2 = randn(N,1);
d3 = randn(N,1);
d4 = rand... |
%% this code calculates SINtheta
%% Definition
%
% alpha = [ 0 -5 5 -10 10 ]
% Port Vector p = [ x y ]
%
% Drag = [P*sin(thet) P*sin(thet) P*sin(thet) P*sin(thet) P*sin(thet) ]... |
function dd = day_diff(month1,day1,month2,day2)
if(sumDay(month1,day1)==-1 || sumDay(month2,day2)==-1)
dd=-1;
else
dd = abs(sumDay(month1,day1)-sumDay(month2,day2));
end
end
function sum=sumDay(month,day)
if(day-round(day)~=0)
sum=-1;
return;
end
t=size(month);
... |
function [im] = gen_gam_image(num_rows, num_cols, center_set, hsize_gauss)
if mod(hsize_gauss,2) == 0
hsize_gauss = hsize_gauss + 1;
end
sigma = hsize_gauss/(1.96*1.5);
h_gauss = fspecial('gauss', hsize_gauss, sigma);
h_gauss = bsxfun(@rdivide, h_gauss, max(h_gauss(:)));
% center_set = (N,2) center matrix (c_cen... |
W = zeros(2,1000);
for i = 1:1000
W(1,i) = normrnd(0,1);
W(2,i) = normrnd(0,1);
end
figure(1)
plot(W(1,:),W(2,:),'.')
axis('equal')
R_x = [2 -1.2
-1.2 1];
[eigV eigs] = eig(R_x);
X_hat = eigs.^(1/2)*W;
figure(2)
plot(X_hat(1,:),X_hat(2,:),'.')
axis('equal')
X_i = eigV * X_hat;
figure... |
function Cx(varargin)
% Global variables
[~, ~, ~, S0, opts] = util.pre(varargin{:});
% Analysis variables
stdv = opts.std;
NS = opts.samples;
every = opts.stepevery;
Ms = opts.mach;
Kns = opts.knudsen;
% Random inputs
inputs = [uq.RandomGaussian(1, stdv, true) , ... % for CL
uq.RandomGaussian(1,... |
function connected = checkConnectivity(coords, lat, composition)
% USPEX 8.2.7
% checks if the cluster is connected (threshold - good_bonds)
global ORG_STRUC
N = size(coords,1);
vect = zeros(1,3);
R_val = zeros(1,length(ORG_STRUC.atomType));
for i = 1 : length(ORG_STRUC.atomType)
s = covalentRadius(ORG_STRUC.atomT... |
function [boutonrevised, bouton] = mainwithtiffboutonthresholding(varargin);
%Set All Global Parameters
global CellThresholdParameter;
global CellconnectivitySize;
global CellSizeLengthParameter;
global CellSizeDistance;
global CellNumberofImages;
global GaussianFilterRadius;
global ConnectivitySize;
global Acceptanc... |
%% Read the on/off status of a pump (by simple name)
%
% level = ppGetPumpOnOff(pointTag)
%
% Returns:
% level Value read from OPC as double
%
% Examples:
% level = ppGetPumpSpeed("bmt.cuft");
function value = ppGetPumpSpeed(pointTag, recordCount)
arguments
pointTag string
recordCo... |
function y = horzcat(varargin)
% Horizontal concatenation for sym arrays.
% C = HORZCAT(A, B, ...) horizontally concatenates the sym arrays A,
% B, ... . For matrices, all inputs must have the same number of rows. For
% N-D arrays, all inputs must have the same sizes except in the second
% ... |
function ipl = micron2ipl(xyz, source)
% MICRON2IPL
%
% Syntax:
% ipl = micron2ipl(xyz, source)
%
% Inputs:
% xyz Locations (N x 3)
% source Volume name or abbreviation
%
% Output:
% ipl ipl depth of each location (in %)
%
% S... |
% Curve Fit Each FRF to Find System Parameters and then Compare Fitted
% Function to Raw Data.
function rot_q7()
%% PRIOR KNOWNS:
Jdisk = 0.0031; % [kgm^2] Mean of Disk Inertia Determined in Lab 1
k1 = mean([3.69 2.81]); % [Nm/rad] Mean First Spring Stiffness Determined in Lab 1
c1 = mean([0.0619 0.0477... |
function [amplat, avgamplat] = lk_findwndw(reliability,cfg)
clear lat amplat
for iTI = 1:floor(cfg.trialnumber/cfg.trialincr)
iTI
for ireg = 1:size(cfg.regs,2)
for isub = 1:size(cfg.file.subs,1)
%These are the arrays of peak locations and peak amplitudes that are nea... |
%plots pupil beta time course (using pupil area, not pupil area change)
%featuring correlations with surprise @ each time point, input from R
%produces Fig 4E
%input plin, betas, stes, adj_p (q) into Table S3
clear;close all;[base,root]=load_root();
plotdefs2;set(0,'DefaultFigureWindowStyle','normal');set(0,'DefaultAx... |
function [ div ] = divergence( u,v )
%DIVERGENCE Summary of this function goes here
% Detailed explanation goes here
div = zeros(size(u,1),size(u,2));
for i = 2:size(u,1)-1
for j = 2:size(v,1)-1
div(i,j)=(u(i,j)-u(i,j-1)+u(i-1,j)-u(i-1,j-1)+v(i,j)-v(i-1,j)+v(i,j-1)-v(i-1,j-1))/2;
end
end
end
|
function img_Contours = DrawContoursAroundSegments(img, klabels)
dx = [-1, -1, 0, 1, 1, 1, 0, -1];
dy = [0, -1, -1, -1, 0, 1, 1, 1];
[m_height, m_width, m_channel] = size(img);
img_Contours = uint8(zeros(m_height, m_width));
mainindex = 0;
cind = 0;
for j = 1: m_height
for k = 1: m_width
np = 0;
f... |
function [] = wavelengthSweep(fn,wavelength, exposure , vid, num_meas, COMmono, xps, framesPerTrigger)
%WAVELENGTHSWEEP Summary of this function goes here
% fn filename string path to .h5 fil.e
% WAVELENGTH double wavelength of exposure [nm]
% EXPOSURE double exposure time for this wavelength [sec]
% PSG array... |
classdef Scale < dagnn.ElementWise
properties
size
hasBias = true
end
methods
function outputs = forward(obj, inputs, params)
args = horzcat(inputs, params) ;
outputs{1} = bsxfun(@times, args{1}, args{2}) ;
if obj.hasBias
outputs{1} = bsxfun(@plus, outputs{1}, args{3}) ;
... |
clear
clc
close all
% dy(t) = a*y(t) + b*y(t-\tau)
% stability analysis: Lambert function, Chebyshev collocation,
% Monte Carlo, and Polynomial chaos
tau = 1;
alist = -2:.2:1;
blist = -4:0.5:3;
al = length(alist);
bl = length(blist);
rho = zeros(al, bl);
chebeg = zeros(al, bl);
N = 100;
ij = 0;
k = 0;
for ia = 1:al
... |
function txtObj = addTypeToAxes(ax,T,params,txtLoc)
%ADDTYPETOAXES Add label to axes indicating 'Solenoid (only)', 'ICMS (only)', or 'Solenoid+ICMS' in a principled way
%
% txtObj = utils.addTypeToAxes(ax,T,params);
% txtObj = utils.addTypeToAxes(ax,T,params,txtLoc);
%
% Inputs
% ax - Axes handle to add to
% ... |
for n = 1:12
figure
freqz(DirAC_struct.decorFilt(:,n));
end |
function [cJ2J,cJ1Jp1,cJ2Jp1,cJ2Jp2] = generate_D_coupling_old(maxJ)
cJ2J=zeros([maxJ+1 2*maxJ+1 2*maxJ+1]); % <J,M,K|2,0,0|J,M,K>
cJ1Jp1=zeros([maxJ 2*maxJ+1 2*maxJ+1]); % <J,M,K|1,0,0|J+1,M,K>
cJ2Jp1=zeros([maxJ 2*maxJ+1 2*maxJ+1]); % <J,M,K|2,0,0|J+1,M,K>
cJ2Jp2=zeros([maxJ-1 2*maxJ+1 2*maxJ+1]); % <J,M,K|2,0,... |
% prepare audio and plots
%source:
%http://stackoverflow.com/questions/6681063/programming-in-matlab-how-to-process-in-real-time
its=25; % Number of time blocks in each signal
Fs = 16*1024; % sampling frequency in Hz
T = 0.5; % length of one time block in sec
t = (0:(1/Fs):... |
%% leung's algo to remolve person
I0 = (imread('test_im31.jpg'));
I1 = rgb2gray(I0);
Win_size = 9; % window size, odd integer such as 5,9,11...
Element = [0 0 0; 1 1 0; 0 1 0]; % the element for dilation
% change all 0 pixels to 1
[r,c] = find(I1 == 0);
[m,n] = size(r);
for i = 1 : m
... |
function out = Process_Slide_2_Tx_by_Day(DashBoard,end_Time, Decision, Reason, Class, Pending, fontsize)
start_Time = '12/31/2019 00:00';
TimeCreatedSinceDeploy = datenum(DashBoard.TS_Created) - datenum(start_Time);
Departure_UTC_SinceDeploy = datenum(DashBoard.Departure_UTC) - datenum(s... |
% Bai 6: a. x(n) = -2u(n + 1) - 3?(2-n)
clc;
b = [-2 0 3 3]; a = [1 1 0 0];
[delta,n1] = impseq(0,0,9);
xb1 = filter(b,a,delta);
[u,n2] = stepseq(0,0,9);
xb2 = (((n2-3).*((1/4).^(n2-2))).*cos((pi/2)*(n2-1))).*u;
error = max(abs(xb1-xb2));
Hf_1 = figure;
set(Hf_1,'NumberTitle','off','Name','B6.a');
[Hz,Hp,Hl] = zplan... |
classdef NeuralNetwork < handle & NetworkLayer
properties
feadim;
numunits;
weights; %feadim*numunits
biases; %numunits*1
l2_C = 1e-4;
init_weight = 1e-2;
dweights;
dbiases;
end
metho... |
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