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% Mat l ab Program <Exl 0_l . m>
% Thi s Matlab exerc i s e <Exl 0_l . m> performs s imulation of
% binary baseband polar transmi s s i on in AWGN channe l .
% The program generates polar baseband signa l s us ing 3 di f ferent
% pul s e shapes ( root - raised cos ine ( r= 0 . 5 ) , rectangular , hal f - s ine )
% and ... |
function finalTS = makeTrialStructure
% this array describes the structure/proportion of basic and reverse across the stages
% of the experiment. By using 8 to 2 ratio, we control where the reversal
% trials pop up. They occur 8 times in every 40.
stg2 = repmat([8 2],2,1); % rather than type 8 2 lots of times!
B... |
%% Impact is an impedance matching GUI
%
% The GUI is generated primarily with the MUI package. There are three
% menus: Add Curve, Analysis, and Plot.
%
% In addition to the AV_Iterationmenu bar, two toolbars are available.
% The one next to the help toolbar is 'Selected Signals' and is a shortcut
% to the '... |
function [ ] = ex33( )
imc = imread('loro.png');
img = rgb2gray(imc);
[n m] = size(img);
X = ones(n*m, 3);
for i=1:n
X((i-1)*m+1:m*i,1) = i;
X((i-1)*m+1:m*i,2) = 1:m;
end
for i=1:n*m
a = X(i,:);
X(a(2),a(1)) = a(3);
end
%e = reshape(img, n*m, 1);
%X(:,3) = e;
%k = 18
%[idx,c]= kmeans(X,k);
%idx = resh... |
k = 20;
increment = 1 / (k + 1);
best_regularizer;
best_avg = Inf;
reg_pts = zeros(1, k);
loglike_pts = zeros(1, k);
trainerr_pts = zeros(1, k);
testerr_pts = zeros(1, k);
i = 1;
for regularizer=increment:increment:1-increment
reg_pts(i) = regularizer;
cur_best_avg = Inf;
cur_best_ll = 0;
cur_best_trainerr = ... |
%Scratchpad
close all
clear all
clc
% TSM = 0.1;
% ak = rand(10,1);
% a = 1/TSM;
%
% old_points = (1:length(ak))-1; %-1 to 0 index
% new_points = round(a*old_points)+1; %+1 to 1 index
%
% ak_hat = zeros(1,ceil(length(ak)*a));
% ak_hat(new_points) = ak(old_points+1);
%
% count = 0;
% for n = 1:length(ak_hat)
% i... |
clear,load W
x1_R = {'TETCB';'TETXB'};x1_R = replace(x1_R); %x1:终端消费/总消费（能源利用率）
x2_R = {'REPRB';'NGMPB'};x2_R = replace(x2_R); %x2:清洁能源和可再生能源的生产量
x4_R = {'LGTCB';'RETCB';'NGTCB';'NUETB'};x4_R = replace(x4_R); %x4:清洁能源和可再生能源的消耗量
x6_R = {'TEPRB'};x6_R = replace(x6_R); %x6:总能源的生产量
x7_R = {'TPOPP'};x7... |
%
% function: data association between local map and global map
%
% input: globalmap, local map
%
% output: match_matrix
%
% last modified: 24/09/2009, Shoudong
function DoGlobalDataAssociation
global Params;
global Match;
global Est;
% disp(' *** entering DoGlobalDataAssociation');
% to record the... |
%
% created January 21, 2016 by Patrick Knapp (Sandia National Laboratories)
%
function varargout=report(object,varargin)
Narg=numel(varargin) + 1;
assert(Narg>1,'Error: report takes at least 2 NTOF objects as input')
%% create figure with three subplots
figure('Units','Inches','Position',[4,6,14,6],'Color','w',...
... |
function nnDistance = nnDistDistributionSelectFrame(ptloc1, ptloc2, frames, pixelsize)
% Number of organelle types to be analyzed: 1
% Input:
% (1) ptloc1 and ptloc2: two 1 x n structure with a field xy containing point positions and n =
% frame numbers
% (2) frames: frame indices
% (3) pixelsize: unit: micrometer
%... |
function Sim20
%% Reset
close all
clear
%% Load data
load('GroupsWOAisles.mat');
%% Set names
simName = '20 Groups without aisles, 10 min delay';
folderName = 'Sim20';
%% Set conditions
[Sim.Luminaires.View] = deal('narrow');
[Sim.Zones.DimAfter] = deal(duration(0,10,0));
[Sim.Zones.OffAfter] = deal(duration(0,10,0... |
% Simulates t time steps and returns a length(i0)-by-t+1 state matrix where
% column i is the state at time t = i.
% G :: graph object
% i0 :: initial state vector
% f_i :: function :: n -> i, where n is a vector indicating the infectious
% degree (number of infectious nodes connected to each node, and
... |
%%Generates track curve and estimates normal force experienced along track.
%%Constants
g = 9.81; %gravitational constant, m/s^2
m_cart = 100; %cart + rider mass, kg
h_start = 6.7056; %Ramp starting height, m
l_end = 32; %Track length
%Track Geometry Constants
b = .055; %1/dampi... |
%a = dec2bin('divyansh')
%r = reshape(a,1,56)
%transpose(r)
clc;
i =imread('abc.jpg');
im = rgb2gray(i);
row=size(im,1);
col=size(im,2);
s=zeros(row,col,8);
for k=1:8
for i=1:row
for j=1:col
s(i,j,k) = bitget(im(i,j),k);
end
end
end
a = dec2bin('divyansh')
r = reshape(a,1,56)
s1 ... |
classdef Test_ReportingDirector < matlab.unittest.TestCase
%% TEST_REPORTINGDIRECTOR
% Usage: >> results = run(mlarbelaez_unittest.Test_ReportingDirector)
% >> result = run(mlarbelaez_unittest.Test_ReportingDirector, 'test_dt')
% See also: file:///Applications/Developer/MATLAB_R2014b.app/help/matl... |
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%this script is for analyze the feature
%and visualization
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
id = input('Please input the subject id you want to analyze:');
% id = str2int(id);
s1016 = ['num_fea = length(f.f',num2str(id),'(:,1));'];
eval(s1016);
% num_fea = length(f.f.f... |
data=load('E:\IIT KGP\ML Project\datasets\CIFAR10_matlab\data_batch_1');
x=data.data;
labels=data.labels;
n=size(x,1);
for j=1:n
l=labels(j)
y=x(j,:);
r=y(:,[1:1024]);
g=y(:,[1025:2048]);
b=y(:,[2049:3072]);
finalr=[];
finalg=[];
finalb=[];
c=1;
for i=1:32
... |
function portList=scanForGPS()
% SCANFORGPS Scans communication ports for GPS receiver. It further
% checks what is sent through serial port in order to determine if they
% are correct NMEA sentences.
%
% Examples:
% 1) portList=scanForGPS()
%
% Serial Port Object : Serial-/dev/ttyUSB0
%
% Communica... |
clear all
clc;
path1 = 'F:\Study\UnderGrad\Graduation Design\Data\heiti201709baitian\2017\09\0907\dn\';
path2 = '20170907-113555F_1000_674_0.tiff';
filepath = fullfile(path1,path2);
% filepath='F:\Study\UnderGrad\Graduation Design\Data\heiti201709baitian\2017\09\0902\dn\20170902-143155F_2000_675_0.tiff'; ... |
%goes through all fixed points in zs and picks out only the ev that
%are b/w 1 and -1 : max|eig(A+W.*D)| < 1 -----> these are the stable fixed points!
%then plots all eigen values for the identified fixed points
function ev_plot()
clear all; close all; clc
path = '/zifnas/polina.litvak/output/09/triton_... |
clear
close all
clc
% before loading data, need to make sure it looks okay in the Matlab text
% editor. Unicode (UTF-8), Unix LF, and get rid of funck characters at the
% beginning of the file
data = load('~/Dropbox/Data/DSC/PlayDSC.dat');
time_min = data(:,1);
temp_C = data(:,2);
heatFlow_mW = data(:,3);
%%%%%%%%%... |
function gradient_machine_textfile(GR,varargin)
%% Experimental gradient waveform machine template
% Input is 2D matrix with size [time-points 3].
% 3 represents the X/Y/Z gradients.
% dt = 1 us and values should be in T/m (SI-units)
%
% Function will create the output textfile of name/location=varargin.
% T.Bruijnen @... |
function P = guipoints
% Input 2D points from user interactively.
% Copyright 2010 Levente Hunyadi
fig = figure;
ax = axes( ...
'Parent', fig, ...
'XLimMode', 'manual', ...
'YLimMode', 'manual');
x = [];
y = [];
ctrl = line(-1, -1, ...
'Parent', ax, ...
'LineStyle', 'none', ...
'Marker', 'x');... |
function [u] = fftBC(v, a, b)
N=length(v);
n=(0:N-1)';
phi=atan2(a,b*n);
v1=bsxfun(@times, exp( 1i*phi)/2, v);
v2=bsxfun(@times, exp(-1i*phi)/2, v);
u=fft([v(1,:); v1(2:end,:); zeros(1,size(v,2)); v2(end:-1:2,:)]);
u=u(1:N,:);
end |
clear;
x_lat=0:5e-3:pi/2;
x_lon=0:5e-3:pi;
grad_sym=1;
lon_deg = [ 22 37 23;
22 30 47;
22 44 00];
lat_deg = [ 52 45 54;
52 40 27;
52 43 37];
dist = [4;
13.4;
4.1];
point_num=3;
lon_rad = zeros(point_num,1);
lat_rad = zeros(point_num,1);
f... |
%--plot Freq
% clear
% clc
% data_path='/Users/hcq/workspace/MCS/data/';
% data_name = 'size_global_exp3.txt';
% data_name0 = 'size_sea_exp3.txt';
% data_name1 = 'size_land_exp3.txt';
% tmp =load (fullfile(data_path, data_name));
% tmp0 =load (fullfile(data_path, data_name0));
% tmp1 =load (fullfile(data_path, data_na... |
%week4
%calculate MSE between 2 matrices
%X=[1 1 2 2; 1 1 2 2; 2 2 3 4; 2 2 5 6]
%Y = [2 2 1 1; 2 2 2 2; 2 2 6 4; 2 2 5 3]
%distxy=abs(X-Y).^2
%msexy=sum(distxy(:)/numel(X))
%msexy =
%
% ALWAYS CLEAR WORKSPACE BEFORE RUNNING ELSE GET INCORRCT RESULTS WO ERROR
% MSG or get ERROR MSG which is not debuggable.
%
% 1... |
function [ mask ] = getMask( ann, imgSize )
w = imgSize(1);
h = imgSize(2);
R = MaskApi.frPoly(ann.segmentation,w,h);
mask = MaskApi.decode(R);
% Conform to matconvnet expectations
mask = single(mask);
mask(mask == 0) = -1;
end
|
function X = pa_fart_levelramp(X, N)
% PA_FART_LEVELRAMP(X)
%
% Adds 20 ms of zeros to start and end of a sound signal. This is required
% because of a peculiarity of the hoop/sound localization setup: the sound
% level is controlled by the second DA output of the RP2.1, and to prevent
% a strong onset pulse of the spe... |
clear;
load AR_part.mat;
load ratel.mat;
% for k=1:15
for t=0:6
X_trn1=cell(100,1);
X_tst1=cell(600,1);
X_trn2=cell(100,1);
X_tst2=cell(600,1);
Y_trn1=zeros(100,1);
Y_tst1=zeros(600,1);
Y_trn2=zeros(100,1);
Y_tst2=zeros(600,1);
count1=1;
count2=1;
for i=1:700
if(rem(i,7)==t)
X_trn1{count1}=imresize(X1{i},[1... |
clear all;
num=input('请输入数值:')
if num>=0
disp('显示所输入的数值：')
num
end
|
function [ Xtrain, Xtest, dtrain, dtest ] = leaveoneout( X,d,f,subject )
nImages = length(d);
trainIndexes = zeros(nImages,1);
testIndexes = zeros(nImages,1);
j = 0;
for i=1:nImages
if f(i) == subject
j = j + 1;
testIndexes(j) = i;
else
trainIndexes(i-j) = i;
end
end
trainIndexes = ... |
function res = outliers(d)
% One of attempts to remove outliers. But frankly, I don't like this code
z = 3;
meanM = mean(d);
sigmaM = std(d);
meanMat = repmat(meanM,size(d,1),1);
sigmaMat = repmat(sigmaM,size(d,1),1);
Ceil = meanMat + z * sigmaMat;
Floor = meanMat - z * sigmaMat;
d((d - meanMat... |
% script for plotting results
%% 1 - 28 boxplot of median ranging over all parameters.
% boxes are learning permutations with diffusion, red is no diffusion
% without permutation, blue is diffused without permutation
% First, boxplot for permutations with diffusion
%
diff_rate = 10;
permuteSeed_3day = [1 2 3 4 5 6 1... |
function ak=FK_ak(a,b,k)
h=pi/1000;
x=0:h:2*pi;
% y selbst einfuegen (zweiter teil nach ak)
% ./ und .* beachten (da zwei Matrizen)
y=(1/pi)*(a+b*x)./(1+x).*cos(k*x);
ak=h*((y(1)+y(end))/2+sum(y)-y(1)-y(end));
if k==0
ak=ak/2;
end
|
clear; clc; close all;
alpha = 1; % diffusion coefficient ( mass / thermal diffusivity )
epsilon = 0; % convection coefficient
fw = 0; % 1 for fw diff (explicit) || 0 for bw diff (implicit)
n = 9; % number of unknowns on x
x0 = 0;
x1 = 1;
h = (x1-x0)/(n+1); % mesh size
x = x0+(0:n+1)'*h; % domain in... |
% slower than one_per_n02
function out = one_per_n(x)
c = 1;
n = 1;
out = [];
for ii = 2:1e5
if c > 1e4
out = -1;
elseif n >= x
out = c;
break;
end
n = n + 1/ii;
c = 1 + c;
end
end |
clear, close all
%% Task 8 - MapReduce
%Reads in data
ds=tabularTextDatastore('nuclear_plants_big_dataset.csv', 'TreatAsMissing','NA','MissingValue',0);
ds.SelectedVariableNames='Power_range_sensor_1';
%Functions calls
fun1a=@mapsum_mean;
fun1b=@redsum_mean;
%Get sum and mean values
outds1=mapreduce(ds, ... |
function []=show_everything(sp,mirrorCenterR,mirrorCenterL,img,fc)
figure;
[x,y,z]=sphere(30);
r_m=5;
r_eyeball=7.8;
%camera pupil
X=x*2*r_m;
Y=y*2*r_m;
Z=z*2*r_m;
mesh(X,Y,Z);
text(0,0,0, ' Camera Pupil')
%eyeball L
X=x*r_eyeball+mirrorCenterL(1);
Y=y*r_eyeball+mirrorCenterL(2);
Z=z*r_eyeball+mirrorCenterL(3);
hold ... |
function [theta, mu, sigma] = train(data)
end_data = length(data(1,:));
X = data(:, 1:end_data-1);
y = data(:, end_data);
m = length(y);
% Normalizing data...
X_norm = X;
mu = zeros(1, size(X, 2));
sigma = zeros(1, size(X, 2));
mu = mean(X);
sigma = std(X);
X_norm = (X-mu)./sigma;
X = X_norm;
... |
%Bsed on the exponential decay, remove the background by randomly select
%detected photon with specific dtime.
%%
fn={'2d3d','3d1d'};
rn={'2d3d10','3d1d13'};
for fi = 1:length(fn)
clearvars -except fn rn fi
filefolder=['E:\F8Se2 July\08172020\apd rBG\',fn{1,fi}];
cd(filefolder)
names=struct2cell(dir([fn{1,fi},'*.mat'])... |
clear all ;close all ;
subs = {'alex','charest','esteban','fabio','gab','gabriella','genevieve','gina','guillaume','jeremie','julie','katrine','lisa','marc',...
'marie','mathieu','maxime','mingham','patricia','po','russell','sunachakan','tah','vincent'} ;
amps = zeros(24,6,3,64,50,130);
stds = zeros(24,6,3,6... |
function [MAP] = calcMAP(neighbourH, neighbourTest)
[num_data, num_dim] = size(neighbourTest);
cntOnes = ones(1, num_dim);
cntOnes = cumsum(cntOnes);
MAP = 0;
succNum = 0;
for i = 1:num_data
neighbour_id = neighbourH(i, :);
isNeighbour = neighbourTest(i, neighbour_id);
cntNeighbour = cumsum(isNeighbour);
... |
function Ei400_uvw111_at200TPmod2Peaks(varargin)
root = fileparts(pwd);
data_source= fullfile(root ,'sqw','Data','Fe_ei401.sqw');
bragg = [2,0,0];
dE = 10;
dK = 0.1;
pefP1= [-0.43,-0.125,0,0.125,0.48;
205,30,0,20,245];
pefP2 = [-0.38,-0.125,0,0.125,0.52;
200,30,0,25,240];
pefP3 = [-0.38,-0.14,0,0.18,0.48;
... |
function [output, stpEvt] = is_stop_event(key_pressed,key_desired)
%key_pressed should be a valid keycode (see the BbCheck function)
%key_desired should be a string in MacStim format
%output a a boolean variable that indicates whether a stop event has
%occurred, while stpEvt holds the key that caused the event.
%k\ ma... |
clear all, close all, clc
addpath('build_mats')
%--get data matrix X and subtract mean
load('datamat.mat')
X = Xbg;
parms.Kb = 0.35;
parms.M_rho = 0.5;
parms.Ke = 1000;
%Subtract mean:
Xtil = X;
mean_X = mean( X, 2 );
for j = 1 : length(parms.tvect)
Xtil(:,j) = X... |
% pulrecsig.m: create pulse shaped received signal
clear;
N=10000; M=19; Ts=.000101; % # symbols, oversampling factor
time=Ts*N*M; t=Ts:Ts:time; % sampling interval & time vector
m=pam(N,4,5); % 4-level signal of length N
mup=zeros(1,N*M);
mup(1:M:N*M)=m; % oversample by integer length ... |
function T = tempprefix(D);
% TEMPPREFIX returns a unique name prefix, starting with the given directory
% suitable for use as a prefix for temporary files.
%
% T = tempprefix(D)
% T = tempprefix() same as above but uses builtin tempdir as D
%
% Inputs:
% D name of directory to find prefix
% Out... |
function y = de2bimod(x,n)
xtemp = x;
dv = [128 64 32 16 8 4 2 1];
out = zeros(1,n);
for i = 1:n
if xtemp>=dv(i)
out((n+1)-i) = 1;
xtemp = xtemp - dv(i);
end
end
y = out;
end |
% This code implements the model in equation (7)
% and analyzes the total variation (tv) and average ratings (avg).
% Finally plots the average of tv and avg over monte carlo realizations.
clear; clc; close all
N_N = 100; % number of experiments
m = 70; % Number of prompts
tv = zeros(N_N,m); % collects total variations... |
function [ labels ] = classify_svm( svm_model, data, varargin )
%CLASSIFY_SVM Classifies a given data set using a trained MATLAB SVM
%implementation.
% Receives the trained MATLAB SVM model in the first parameter,
% "svm_model".
% The training data is stored in the variable "data.X", a m-by-n matrix
% where n i... |
%Numerical differentiation
%Jared Rivera
%804603106
clear all; close all; clc;
%set x-domain
x=linspace(-5,5,100);
domainlength=length(x);
%set h-domain
harray=logspace(-15,-1,50);
harraylength=length(harray);
exactd=dfx_exact(x);
%Set up error arrays
errorforward=zeros(1, harraylength);
errorbackward=zeros(1, harr... |
function measinit(sysflag,X0)
global Ts Tnext t t0
global Xs
timer=[0 0 0 3600 60 1]';
if sysflag==0,
das_wri1(2,49);
das_wri1(11,0);
t=clock*timer;
t0=t;
Tnext=t;
disp('Measurement system started')
else
Xs=X0;
t=0;
t0=t;
Tnext=t;
end
|
function h = plot_gp_CV_rois_helper_boxcharts(fs, test_type, statistic, regressor_names, roi_names, null_value, cmap, significant_scale, regressors_to_compare, font_scale, outliers)
sem = @(x) std(x) / sqrt(length(x));
nROIs = size(fs, 1);
nregressors = size(fs, 2);
nsubjects = size(fs, 3);
if ~ex... |
function gb = gabor_kernel(dimensions, lambda, theta, psi, sigma, gamma)
sigma = lambda/pi*sqrt(log(2)/2)*(2^sigma+1)/(2^sigma-1);
sigma_x = sigma;
sigma_y = sigma / gamma;
[x, y] = meshgrid(-fix(dimensions / 2) : fix(dimensions / 2), fix(-dimensions / 2) : 1 : fix(dimensions / 2));
x_theta = x * cos(theta*p... |
function g = sigmoid(z)
%SIGMOID Compute sigmoid function
% g = SIGMOID(z) computes the sigmoid of z.
% You need to return the following variables correctly
g = zeros(size(z));
% ====================== YOUR CODE HERE ======================
% Instructions: Compute the sigmoid of each value of z (z can be a matrix,
... |
function [ Ptool_F, af67_F, S6_F ] = Forward_puma( S6, Ptool_6, phi1, th2, th3, th4, th5, th6 )
%This function calculate the forward puma problem
a=[0 17 0.8 0 0];
%define a12-a56? a(1) represent a12
af=[0.5*pi 0 1.5*pi 0.5*pi 0.5*pi];
%define af12-af56, af(1) represent af12
S=[0 5.9 0 17 0 S6];
%define S... |
function [m_CO2, y_CO2] = DuanSun(T, p, m_salt)
% This function solves the Duan-Sun model to calculate the solubility of
% CO2 in water and in the brine and the mole fraction of CO2 in the gas phase
% T is the temperature in [K]
% p is the pressure in [Pa]
% m is the salt molality in [mol/kg]
% Copyright (c) 2012-2016 ... |
function [hi] = hamperl(dfft,wind)
h = zeros(size(dfft));
halfsies = ceil(length(dfft)/2);
std_mult = 1;
%figure; hold on
%loglog(abs(dfft),'k')
for i = 1:halfsies
h(i) = dfft(i);
if i > floor(wind/2)
if i > (halfsies-floor(wind/2))
rr = dfft(halfsies... |
classdef QuadraticLayer < nnet.layer.Layer
% QUADRATIC
% y = [x^2 x*u u^2]'
% Copyright 2018 The MathWorks, Inc.
% Revised: 10-30-2018
% Copyright 2018 The MathWorks, Inc.
% check with:
% quad = rl.layer.QuadraticLayer('Name','quad')
% checkLayer(quad,[15 1],'ObservationDimension',4)
% checkLayer(quad,[1 1 15]... |
function [time3D, cPkt3D] = p2( B, M, P, needPrint )
% p2, simulate packet arrivals, and display the procedure if needed.
%
% B, M, P should be 1*n vectors; B -> bandwidths(Mbps), M -> message
% sizes(MB), P -> packet sizes(MB), needPrint -> 1 for displaying procedure;
%
% if the size of last packet in a message is les... |
function [num_dis] = dis_his(data,num)
%UNTITLED6 此处显示有关此函数的摘要
% 此处显示详细说明
x = [data.dis,double(data.height)];
num_dis = zeros(length(data.dis),1);
for i = 1:length(data.dis)
if (i-num*100/2)<=0
boud = 1:num*100;
elseif i+num*100/2>=length(data.dis)
boud = (length(data.dis)-num*100):length(data... |
function [fr, failitems] = readh5file(fnm, items)
% @author M.Moriche
% @date Created 06-06-13 by M.Moriche
% @date Modified 07-06-13 by M.Moriche
% @date 07-06-13 by M.Moriche
% added extra arguments in H5D.read
% @date 22-07-13 by M.Moriche
% added error handling and failitems as output
% @date 13-12-13 b... |
function l
while gcf > 1
delete(gcf)
end
delete(1)
|
%% Data analysis for [20180114, 141953] (97b551b)
Params1 = linspace(0, 200, 41) * 1e-6;
Params2 = linspace(4, 160, 40) * 1e-6;
Params3 = linspace(6, 240, 40) * 1e-6;
clear o;
o(1).Params = Params1;
o(1).ParamName = 'TNaRaman1 ';
o(1).ParamUnits = 'us';
o(1).PlotScale = 1e-6;
o(2).Params = Params2;
o(3).Params = Pa... |
close all; clear all;clearvars; close all; clc;
folder = 'J:\WeiLabHD\recordings\NewRig\20190305';
moviefiles = dir([folder '\*.zip']);
cell_area = 0;
pixel_xcorr = input('Pixel Cross-Correlation Analysis (For XCorr Bkg must be substracted)?\n');
smoothing = input('Smoothing?\n');
unmixing = input('Unmi... |
function [full_code_img,dict_codes]=encodingth(image,quality)
grayimage=image(9:288,9:288);
fun=@(block_struct) dct2(block_struct.data);
I2=blockproc(grayimage,[8,8], fun)
%figure; imshow(I2,[]); title('DCT Image') % To get the DCT image uncomment this
% Standard Quantization Matrix
q_mtx = ... |
function [model, Fold] = TrainSparseMGP2(y, x, options)
addpath(genpath('../toolbox'),'../globalkern','../utils','../ftcmgp');
options.gamma = exp(-2);
options.kern.isVarS = options.isVarS;
options.kern.isArd = false;
options.nout = size(y,1);
ndim = size(x{1},2);
if ndim>1,
options.initialInducingPositionMethod... |
% Function to define FEM type lists using FEM object metadata
% Anthony Ricciardi
%
function obj = typeLists(obj)
%% extract object metadata
mObj = metaclass(obj);
%% loop through properties
for i = 1:size(mObj.PropertyList,1)
% isa entry
eval(['bool=isa(obj.',mObj.PropertyList(i).Name,',''entry... |
load('data_v1-90degree_phase_pos_seq.mat')
id1=Module1{1}.Values.Data(:);
id2=Module2{1}.Values.Data;
tout=Module2{1}.Values.time;
%%
Fs=1/(tout(2)-tout(1));
L=length(tout);
y1_raw=fft(id1);
y2_raw=fft(id2);
%%
y1 = abs(y1_raw/L);
y1 = y1(1:L/2+1);
y1(2:end-1) = 2*y1(2:end-1);
y1_ang = angle(y1_raw/L);
... |
function tr = setup1(net)
% Copyright 2010 The MathWorks, Inc.
tr.trainFcn = net.trainFcn;
tr.trainParam = net.trainParam;
tr.performFcn = net.performFcn;
tr.performParam = net.performParam;
tr.derivFcn = net.derivFcn;
tr.divideFcn = net.divideFcn;
tr.divideMode = net.divideMode;
tr.divideParam = net.... |
% MA 3457 / CS 4033 (B-Term 2018)
% Student: Vandana Anand
% Problem 2A
format long
%% Part AA
disp("Part AA")
%set up the matrix with the 6 equations and 6 unknown variables
%Note:
%x1, x2, x3 are c1, c2, c3
%x3, x4, x5 are x1, x2, x3
F=@(x) [x(1)+x(2)+x(3)-2; ...
x(1)*x(4)+x(2)*x(5)+x(3)*x(6); ...
x(1)*pow... |
function [] = mypoint(p, color)
if (length(p) == 3)
scatter3(p(1), p(2), p(3), 8, color, 'o', 'filled');
end
if (length(p) == 2)
scatter(p(1), p(2), 15, color, 'o', 'filled');
end |
function A = assemble_matrix_volume_in_2D(matrix_size, coef, mesh, FE, der_trial_x,der_trial_y,der_test_x,der_test_y, time)
%矩阵组装器,需要输入系数函数,矩阵大小,P,T,Tb矩阵,试探函数的基函数类型及对x,y的导数阶,测试函数的基函数类型及导数阶
A = zeros(matrix_size(1),matrix_size(2));
P = mesh.P;
T = mesh.T;
Tb = FE.Tb;
number_of_elements=size(T,2);%得到单... |
function [ binDataMat ] = binDataUnequalBy( dataMat, binNumber, binDim, fun )
% This function bins a matrix along the dim dimension in nBin
% Warning: this could lead to bins of different size, arbitrary splitted
sizeMat=size(dataMat);
if nargin < 4
fun = @mean;
end
if nargin < 3
binDim = find (sizeMat > 1, ... |
function Sol = iMATAO(model,Zopt,rxn_exp,coreset,eps,samplesize,FVArange,deltamax)
%*********************iMAT Alternative Optima Sampling*********************
%**************************************************************************
%This function implements the iMAT alternative optima sampling method. The
%o... |
%% Set paths to other GEMINI repos
cwd = fileparts(mfilename('fullpath'));
gemini_root = [cwd, filesep, '../../../GEMINI'];
addpath([gemini_root, filesep, 'script_utils'])
addpath([gemini_root, filesep, 'setup/gridgen'])
addpath([gemini_root, filesep, '../GEMINI-scripts/setup/gridgen'])
addpath([gemini_root, filesep, '... |
% Lab 4 - AA - Naive Bayes Classifiers
% 81013 - 81398
% Tuesday, Group 2
%
% 2. A simple example - Naive Bayes Classifier
% Bayes classifier works by selecting the class i
% that has maximum probability P(Ci|x), given a observation x
%
% By Bayes Law: P(Ci|x) = (P(x|Ci)*P(Ci))/P(x)
% P(x|Ci) = distribution o... |
clc;
close all;
clear all;
delta = 0.9;
ti = 60;
kp = 1/delta;
ki = 0;%1/(delta*ti);
K = 2;
T = 40;
dt = 1;
st = 1200;
lp = fix(st/dt);
a=exp(-dt/T);
b = 1-a;
r=1;
x(1:3)=0;
ui = 0;
y = [0];
t = [0];
for i=1:lp
e = r-x(3);
up = kp*e;
ui = ui + ki*e*dt;
u = up+ui;
ux = u + r/K... |
function amp = four(img)
% four
%
% Fourier transform analysis of skin pictures
% img pixmap containing the image to analyse
global goose
frame = goose.current.iFrame;
L = goose.set.visual.imgLen;
Lm = goose.current.imgLenMax;
%Marker (green channel)
sel = img(1:50,(end-50):end, 2); %right-upper window, g... |
function imageOut = setImageLevels(imageIn)
fig = figure('Visible','off','Position',[400,200,800,600]);
imgBox1 = axes('Parent',fig,'Position',[.15 .15 .7 .7]);
end |
%% this function is to get the best performance tran Prob sequence
% input: Metrics, rowname_ind, tranProb_value
% output: the value, and the tran Prob sequence which has the value
function [best_mat] = findbest(Metrics, rowname_ind, tranProb_value)
% preallocate
best_mat = cell(length(rowname_ind),3);
Met... |
function y=fun(c,x) %funcion definida por la que se va a justar
global grafica
y=c(1)*x+c(2)*exp(-c(3)*x);
set (grafica,'ydata',y);%para ir ajustando la grafica respecto de la aproximacion
pause(.05)
end
|
function [g bv lv]=Gap(v)
% GAP computes the gap function from game v.
%
% Usage: [g bv lv]=Gap(v)
% Define variables:
% output:
% g -- The gap function of game v. A vector of length 2^n-1.
% bv -- The upper vector/payoff of game v.
% lv -- The lower/concession vector of game v.
%
% input:
% v ... |
function plot_nodes(nodefile, facefile)
% Figure
hf = figure(1);
set(hf, 'Position', [100 100 600 600]);
% Plot nodes
nodes = load(nodefile);
%plot3(nodes(:,1), nodes(:,2), nodes(:,3), 'k.');
hold on;
%nn = size(nodes,1);
%plot3(nodes(83:nn,1), nodes(83:nn,2), nodes(83:nn,3), 'r.');
gix=[]+1;
for i=1:length(gix)
... |
% ----------------------------------------------------
% SLAB 2017 REU
% Written by: Hridu Jain
% Date: August 24, 2017
% ----------------------------------------------------
clc
clear all
% close all
X = load('constants.mat');
jd_start = datenum(2017, 08, 01, 00, 00, 00) + 1721058.5;
%jd_end = datenum(2017, 08, ... |
clear all;
clc;
close all;
%addpath('../data');
%addpath('methods/');
addpath 'C:\Users\willf\Pictures\blinks\72cm.seated.light.move'
video = VideoReader('1280x720.mp4');
method = exmethods.CountPixelsMethod();
FRAMES_PER_SECOND = 25;
bd = BlinkDetector(FRAMES_PER_SECOND);
bd.setExtractorMethod(method... |
function [ DBN ] = init_DBN( config )
nb_couches=length(config)-1;
for k=1:nb_couches
DBN{k}=init_RBM(config(k),config(k+1));
end
end
|
function kickstart(folder, pull)
if nargin <2, pull = true; end
if pull
ft.update(folder)
end
addpath(folder)
ft_defaults;
|
%generate distribution figures for Appendix B
% from Parameter Estimation and Inverse Problems, 3rd edition, 2018
% by R. Aster, B. Borchers, C. Thurber
clear
figure(1)
clf
bookfonts
x=-0.5:0.01:1.5;
f_U=zeros(length(x));
ind=find(x>=0 & x <=1);
f_U(ind)=1;
plot(x,f_U,'k')
xlabel('x')
ylabel('f_U (x)')
ylim([0 1.2])
pr... |
clear;clc;close all;
n=0:200;
M=100; % Size of window
w1 = 0.05*pi;
w2 = 0.20*pi;
w3 = 0.35*pi;
wa = 0.15*pi;
wb = 0.25*pi;
s = sin(w2*n); %signal
v1 = sin(w1*n); %Noise part 1
v2 = sin(w3*n); %Noise part 2
v = v1+v2; % Total Noise
x = s+v; % Polluted signal x(n)
w = 0.54 - 0.46.*cos((2*pi).*n/M); % Window Function
... |
function R = romberg(f, a, b, n)
%Romberg's Method
R = zeros(n);
h = b-a;
R(1,1) = [feval(f, a)+feval(f,b)] * h / 2;
for i =1:n-1
R(i+1, 1) = R(i,1)/2;
h = h/2;
k = [1:2^(i-1)];
R(i+1, 1) = R(i+1, 1) + h*sum(feval(f, a+(2.*k-1).*h));
end
for j = 2:n
... |
%Using SimpleFixedPoint Locate the root of a equation
%Md. Khirul Alam
%25/5/2016
syms x;
f=(-6*x^3+5*x^2+2)/7;%Equation 6x^2-5x^2-7x-2=0
xnew=1;
for k=1:10
xold=xnew;
xnew=subs(f,xold);
error=abs(xnew-xold)/xnew*100;
disp([k xnew error])
end
|
% function [S_bar] = predict(S,u,R)
% This function should perform the prediction step of MCL
% Inputs:
% S(t-1) 3XM
% R 2x2
%
% Outputs:
% S_bar(t) 4XM
function [S_bar] = Predict_rand(S,R,x,y,particle_size)
%Number of particles
N = siz... |
function info = info_type_inpaint(type,N,k,eps_rel_k,time)
%
% Type-like definitions for TVinpaint to be used with mxTV software
%
info_type = struct('STATUS',{'EPSILON-OPTIMAL-SOLUTION',...
'NOT-EPSILON-OPTIMAL-SOLUTION',...
'MAXIMUM-NUMBER-OF-ITERATIONS-EXCEEDED'},...
'NINPAINT',{N},'... |
%load('C:\Analysis\Data\Results_0');
%Obj = Real_Payoffs;
Obj = Sim_Payoffs;
Size = size(Obj);
I = Size(4);
Eff_Sample_Size = zeros(Size(1),Size(2),Size(3));
for k1 = 1:Size(1)
for k2 = 1:Size(2)
for k3 = 1:Size(3)
Eff_Sample_Size(k1,... |
function [ dlogf dlogn dlogv alpha interpMeans] = calculateRates(data, data2, N, data1ssc)
%UNTITLED Summary of this function goes here
% Detailed explanation goes here
data = reshapeTimeCourse(data);
data2 = reshapeTimeCourse(data2);
eventRate = reshapeTimeCourse(N);
data1ssc = reshapeTimeCourse(data1ssc);
means =... |
function r = shuffle(n, seed)
% https://en.wikipedia.org/wiki/Fisher%E2%80%93Yates_shuffle
lcg = LCG(seed);
m = 1:n;
for i=n:-1:2
j = floor(lcg.rand()*i)+1;
t = m(i);
m(i) = m(j);
m(j) = t;
end
r = m;
end
|
clear;
clc;
% initialize 1D array to store sinuisoid window of 4096 discrete points.
x = zeros(1, 4096);
%y(m) = b0 + b1*x(m-1) + b2*x(m-2) + b3*x(m-3) + b4*x(m-4)
%% finding b value
b0 = mod(1,2) + 1; %2
b1 = mod(2,3) + 1; %3
b2 = mod(3,4) + 1; %4
b3 = mod(5,5) + 1; %1
b4 = mod(0,6) + 1; %1
%% Transfer fu... |
function res = ddif_fun(f, x)
% 求函数数值二阶导
e = 0.0001;
left = diff([f(x-e), f(x)])/e;
right = diff([f(x), f(x+e)])/e;
res = diff([left, right])/e;
end |
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