text stringlengths 8 6.12M |
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function res = isOver(array)
count = 0;
for i=1:length(array)
if (array(i).in_play == false)
count = count + 1;
elseif ((array(i).vx < 0.1 && array(i).vy < 0.1))
count = count + 1;
end
end
%count
if (count == length(array))
res = true;
... |
%function to select flights that have similar rate of change per variable
function ind_res = selectFlights(rates)
[K, N] = size(rates);
ind = true(K, N);
for i=1:K
D = rates(i,:); % ITS BETTER OT USE obj = gmdistribution.fit(D',2);
edges = 0:100;
step = 1;
%max allowable difference betwee... |
% Copyright (c) 2020, Alexander Huntley
% All rights reserved.
%
% Redistribution and use in source and binary forms, with or without
% modification, are permitted provided that the following conditions are
% met:
%
% * Redistributions of source code must retain the above copyright
% notice, this list of co... |
function [Low_tracks_out] = TrackletsMergeMultiCamera_V2(TrackletsCamAll,ParaStructMultiCam)
% duration criteria: 1)startpoint and endpoint threshould;2) duration
% threshold
% IoU criteria: 1) the difference between the most and secondly related
% IoU ThreM(1); 2) the most related IoU > ThreM(2)
% Low_tracks... |
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% Copyright 2012 Analog Devices, Inc.
%
% Licensed under the Apache License, Version 2.0 (the "License");
% you may not use this file except in compliance with the License.
% You may obtain a copy of the License at
%
% http:/... |
function [ctrl] = optMPC_c(Ad,Bd,Cd,Q,R,Qs,N,Ts)
nx = size(Ad,2); nu = size(Bd,2);ny = size(Cd,1);
u = sdpvar(nu, N, 'full'); x = sdpvar(nx, N+1, 'full');
y = sdpvar(ny, N, 'full'); w = sdpvar(ny, 1, 'full');
u_prew = sdpvar(nu, 1, 'full');s = sdpvar(ny, 1, 'full');
u_min = zeros(n-1,1); u_max = 127*ones(n-1,1);
y_mi... |
% Parameters defining experiment setting
conf.NREPETS = 100; % Number of executions
% Parameters defining the data generation (in @genDataInterp)
conf.data.N = 2^7; % Signal length
conf.data.Q = 15; % Impulse response length
conf.data.typeNoise = 1; % 1: Gaussian noise, 2: Uniform, 3: Laplacian
% Par... |
function [Li, Lsig, Lmiu] = shot_detect(start_ind, end_ind, img_format, img_path, n)
% 1. start_ind and end_ind are the starting and ending images, so we can trace
% all of the images in a path
% 2. img_path is a path containing all the images
% 3. img_path is the image format
% 4. n is the size of a n*n block for each... |
function spikesort(filenames, readNewUnits)
% This is the machine-generated representation of a Handle Graphics object
% and its children. Note that handle values may change when these objects
% are re-created. This may cause problems with any callbacks written to
% depend on the value of the handle at the time the ob... |
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% To run: Edit user options in mtfcalc.m and execute the code.
%
% This code is intended to accompany the paper:
%
% S. N. Friedman, G. S. K. Fung, J. H. Siewerdsen, and B. M. W. Tsui. "A
% simple approach to measure computed tomography (CT)... |
function Mask = FiberMask(SP,W)
load(SP)
dim = IMS.Dim;
[m n] = size(IMS.Gray);
pixdim = dim/m;
FW = ceil(W/pixdim);
Mask = ones(FW*2,FW);
Mask = [zeros(FW*2,round(FW/2)) Mask zeros(FW*2,round(FW/2))];
[mm nn] = size(Mask);
Cen = floor(([mm nn]+1)/2);
disp(Mask)
end |
% Henrik Grønbech; https://projecteuler.net/problem=3
function total = p003()
n = 600851475143;
biggest_factor = 2;
while n > 1
for i = biggest_factor:(mod(biggest_factor, 2)+1):n
if mod(n, i) == 0
n = n / i;
biggest_factor = i;
break
... |
function[MRE,Cz]=runPCE(source,r0,IM,im,Nreal,ellip,hparam)
pd = makedist('Normal');
t = truncate(pd,-2,2);
zrnd = random(t,1,Nreal);
gmpe = source.gmm;
NIM = length(IM);
Nim = size(im,1);
NMmin = source.NMmin;
gmpefun = gmpe.handle;
switch source.obj
case 1, [param,rate] = param_circ(r0,s... |
function varargout = SearchNumberPlateMannully(varargin)
% SEARCHNUMBERPLATEMANNULLY MATLAB code for SearchNumberPlateMannully.fig
% SEARCHNUMBERPLATEMANNULLY, by itself, creates a new SEARCHNUMBERPLATEMANNULLY or raises the existing
% singleton*.
%
% H = SEARCHNUMBERPLATEMANNULLY returns the handle to a... |
function M1 = generate_constrained_map(M,nb_theta,obj,theta_max)
% generate_constrained_map - generate a constraint map from a 2D map.
%
% M1 = generate_constrained_map(M,nb_theta,obj);
%
% M is the 2D map (binary image, 0 for background, 1 for objects).
% M1 is a 3D array, M1(:,:,k) is the 2D map for ori... |
warning('off','all');
% data sets to segment
datasets_names = {...
'DIARETDB1\train' ...
'DIARETDB1\test' ...
'e-ophtha' ...
'MESSIDOR' ...
};
% scale to downsample (it is expected that all the images in the data sets
% has approximately the same resolution)
scale_to_downsample = [ ...
... |
function MPI_Send( dest, tag, comm, varargin )
% MPI_Send - Sends variables to dest.
%
% MPI_Send( dest, tag, comm, var1, var2, ...)
%
% Send message containing variables to dest with a given tag
%
% dest can be an iteger from 0 to comm_size-1
% tag can be any integer
% comm is an MPI Communicat... |
% orden convergencia del metodo rk4 haciendo el cociente de errores
% para una sola ecuacion
[t1,y1]=rk4('y',0,1,1,100);
error1=abs(exp(t1)-y1);
e1=max(error1);
[t2,y2]=rk4('y',0,1,1,200);
error2=abs(exp(t2)-y2);
e2=max(error2);
da=e1/e2; % esto seria 2 elevado a alfa...asi que alfa
alfa=log2(da)
... |
function ramp = readramp3Hz(varargin)
%READRAMP3HZ - Read a binary ramp input file for SLS 3Hz Powersupplies
%
% INPUTS
% 1. Filename {optional}
%
% OUPUTS
% 1. Ramp - Booster ramp read from binary file
%
% See also write_ramp3Hz
%
% Written by Laurent S. Nadolski
%% Default flags
DisplayFlag = 1;
AbcissaUnit = 80... |
function ParamStruct = QuarterCarInit(side)
%% SLAGeometryData
%
% This file contains all the kinematic and dynamic parameters
% necessary to define the LEFT FRONT double wishbone - or short
% long arm - suspension corner for a generic automobile.
% This file needs to be loaded before running a simulation
% wit... |
function BC = createBC3D(meshvar)
% Creates a boundary condition structure from a mesh structure
% for a 3D structured mesh. The default boundary conditions on
% all boundaries are Neumann;
% The values of each boundary condition are defined as:
% BC.<position>. :
% a, b, c, where
% a*grad(phi).e + b*phi ... |
function color_rgb = dark_gray
color_rgb = {'color', [0.66274, 0.66274, 0.66274]};
end |
%Hannah Director
%Prelim Exam, file conversion steps
addpath('/users/hdirector/Documents/prelim/prelim/MatlabCode/Figs124')
load drifterbetty2.mat
save('/users/hdirector/Documents/prelim/prelim/Code/drifterbetty2.mat', '-v6')
addpath('/users/hdirector/Documents/prelim/prelim/MatlabCode/Fig5')
load newinertial.mat
save... |
function [] = plot_all_mms_B(jt,bx_int,by_int,bz_int,sc)
for i = 1:sc
plot(jt,bx_int(:,i),'r')
plot(jt,by_int(:,i),'g')
plot(jt,bz_int(:,i),'b')
% plot(jt,by_int(:,i),'k')
% plot(jt,bx_int(:,i)-mean(bx_int(:,i)),'r')
% plot(jt,by_int(:,i)-mean(by_int(:,i)),'g')
% ... |
%% FUNCTION: svt
% Singular value thresholding algorithm for low-rank matrix completion.
% INPUTS:
% Y = matrix with entries Y_ij = y_ij if (i,j) is observed and
% Y_ij = 0 if (i,j) is not observed
% M = matrix with entries M_ij = 1 if (i,j) is observed and M_ij = 0
% and M_ij = 0 ... |
clc;clear all;close all;
for j = 1:30
filename = 'UCI1';
N = 0.4;
[X, Y, Yn, Init_Noise] = load_dataset_UCI(filename,N);
A = fitcsvm(X,Yn,'ClassNames',[1,2]);
SV_IND = find(A.IsSupportVector==1); NonSV_IND = find(A.IsSupportVector==0);
SV_SET = X(SV_IND,:); NonSV_SET = X(NonSV_IND,:);
SV_Lab = Yn(SV_IND,:); Non... |
function y=Noiseditong(sig,fs,fp,fst)
y=[];
%fp=1500;fst=2250;fs=15000; %输入设计指标
wp=2*fp/fs; %求归一化数字通带截止频率
ws=2*fst/fs; %求归一化数字阻带起始频率
% deltaw=ws-wp; %求过渡带宽
% N0=ceil(6.6/deltaw); %求窗口长度
% N=N0+mod(N0+1,2); %确保窗口长度N为奇数
% n=N-1; %求出滤波器的阶... |
function [ C ] = findcorners( P, I, maxWidth)
% DESCRIPTION
% find coordinates of spine corners in an image
% INPUTS
% P = data from Neuron Studio. I = image. maxWidth = maximum neighborhood template size
% OUTPUTS
% C = coordinates of spine corners
imshow(I)
hold on
% determine boundaries of image
... |
count_face =0;
count_noface=0;
F_Train_Face = F_Train;
testsize=150;
prior;
for k = 1: testsize
k
test_id = k;
submatrix = F_Test_Face(test_id,:);
likelihood_matrix =[];
likelihood_noface =0;
likelihood_face=0;
for i = 61 :4200
feature_id = i;
... |
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% Copyright 2010 - 2015 Moon Express, Inc.
% All Rights Reserved.
%
% PROPRIETARY DATA NOTICE:
% The data herein include Proprietary Data and are restricted under the
% Data Rights provisions of Lunar CATALYST Space Act Agreement
% No. SAAM ID#... |
%Katharin Jensen
%This code creates a force vs. displacement plot for a model [describe
%model better later]
tic
clear
clc
close all
%initialize
ea_t = 10; %other spring constant type thing, N
k_t = 100; %spring constant, N/m
H = 1; %max height, m
%n = 100; %number of links
m = 4;
n_l = 10;
i_max = 11;
ea = ea_t/n_l;... |
function [V,H] = qrstep(V,H,mu,k1,k2);
%
% Input: V -- a real square orthogonal matrix
%
% H -- a real square upper Hessenberg matrix
%
% mu -- a real or complex shift
%
% k1,k2 -- pointers to submatrix in k1:k2 block
%
% Output: V -- a real orthogonal matrix
%
% ... |
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% Coursework 1 - Hugo Germain %
% Part H : Gabor Filter %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
function PartH_computePosterior
%% Load Images and Compute Posteriors
% Nb: First launch PartB_training.m to create the Mixtures
load('Est_Apples_Gabor.mat','Est_Apples_Gabor... |
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% Author: Hamza Bourbouh <hamza.bourbouh@nasa.gov>
% Notices:
%
% Copyright @ 2020 United States Government as represented by the
% Administrator of the National Aeronautics and Space Administration. All
% Rights Reserved.
%
% Disclaimers
%
% No Warranty:... |
function plotStimulationRasterPlot(experiment, stimulusTypes, CSC)
%% load basic info
parameters = get_parameters;
Path = get_path;
for stimulusType=stimulusTypes
binsize = parameters.plotStimulationRasterPlot.binsize; %sec
nbins = (parameters.(['Window_' stimulusType{1}])(4)+abs(parameters.(['Window_... |
%%*************************************************************************
% This file when called will setup the workspace for the projects
%{
%}
%%*************************************************************************
%% Load types/defines from hand code
if exist('EnumFileNames','var')
run Read... |
%% Setting algorithm parameters
running = 0;
while running == 0
mtitle = 'Algorithm Parameters';
if (strcmp(cur_alg, '2-RSPG') == 1) || (strcmp(cur_alg, '2-RSPG-V') == 1)
Input1;
else
Input2;
end
end
common_prog;
|
%%
current_object_info
% fname, desc
wobj = read_wobj(fname);
[verts_v3,faces_f3,normals_f3] = wobj_verts_faces(wobj);
[wrenches_f6,cents_f3,] = get_contact_wrenches3d(verts_v3,faces_f3,normals_f3);
lengths1 = norms(verts_v3(faces_f3(:,1),:) - verts_v3(faces_f3(:,2),:),2,2);
lengths2 = norms(verts_v3(faces_f3(:,1),... |
function [] = draw_circle_sector_in_plane(c, r, n, t1, t2, color, varargin)
line_width = 2;
if ~isempty(varargin)
line_width = varargin{1};
end
D = 3;
u = [1; 0; 0];
v = cross(n, u);
u = cross(v, n);
u = u/norm(u);
v = v/norm(v);
% figure; axis off; axis equal; hold on;
% draw_sphere(o, r, 'c');
% myvector(o, ... |
function [dX, u, debugResult] = ModelDynamics(time, X, options, simParam)
time
x = X(1);
y = X(2);
theta = X(3);
%controller
[u, controllerResult] = Controller( X, simParam )
v = u(1);
kappa = u(2);
%dynamics
ct=cos(theta);
st=sin(theta);
dx = v*ct;
dy = v*st;
dtheta = kappa;
dX = [dx; dy; dthe... |
% Plotting
close all
time_vec = [50 40 30 20 10 1];
%load('sg_1f1p_fine.mat')
%load('sg_seasonality_1p.mat')
load('sg_zeta_min_gamma_min.mat')
%load('sg_zeta_max_gamma_max.mat')
ctrls= figure();
for tt = 1:numel(time_vec)
V_plt = squeeze(V(time_vec(tt),:,:));
g_plt = squeeze(gen_opt(time_vec(tt),:,:));
t_p... |
function kf = mfk_init(dim_x,dim_z,dim_u)
%MFK_INIT Init of kalman filter matrixes
% x : ndarray (dim_x, 1), default = [0,0,0…0]
% filter state estimate
% P : ndarray (dim_x, dim_x), default eye(dim_x)
% covariance matrix
% Q : ndarray (dim_x, dim_x), default eye(dim_x)
% Process uncertainty/noise
%... |
function [d] = graphIt(emission,excitation, truncatedata)
|
function [ data, indexes ] = sequentialFs(data, target_number_of_features, forward, varargin)
%SEQUENTIALFS Implementation of a Sequential Feature Selection approach for
% feature selection
% data is a stprtool data type, containing the features/observed data and
% the respective classes, in the fo... |
function [lda_model, y_hat, accuracy] = lda(X_train, y_train, X_test, y_test, discrim)
lda_model = fitcdiscr(X_train, y_train, 'DiscrimType', discrim, 'SaveMemory','on','FillCoeffs','off');
y_hat = predict(lda_model, X_test);
accuracy = evaluate(y_hat, y_test);
end |
%% Ascent Model
% Philip Linden
%% Assumptions
% * Helium in balloon behaves as an ideal gas
% * Atmosphere is homogenous and uniform composition at all altitudes
% * Atmosphere is a static fluid (no convection or winds)
% * Gas in the balloon is the same temperature and pressure as the
% atmosphere
% * Balloon main... |
function convertOneImage2BW(image, outArea, showFlag, outputPath)
% image, a string with a partial or full path to the image
% outArea, [left top right bottom]
% showFlag, 1/0
% outputPath, partial or full path to the output directory
% 1. Make image sizeOut pixels
% 2. Make t... |
function [ binned_data, bin_avg, binIdx ] = bin_y(data_y, nbins )
%binning( data_x, data_y, num_bins )
% This takes in only y-data, as well as number of bins.
% The data must be ONE COLUMN of size Nx1.
% The y-data will be divided into num_bins # of bins.
% Output is the average of each bin, size NUM_BINSx1
if ... |
%The total number of patterns, by varying the w and phi parameters:
%We have w = 0.3*pi and 0.5*pi and for all these w, we have phi = j*pi/4,
%j=1...3;
clear all
close all
total_patterns = 8;
sgw_pattern_size = 3;
sgw_pattern_image_size = 2*round(sgw_pattern_size/2) + 1;
sgw_patterns = zeros(sgw_pattern_image_size,sgw_... |
% plot g from T and fitted Gain
devnums = flip([71:-1:69,65:-1:63,36:-1:27]);
whichRow = 'B';
fn_patterns = {};
for devnum = devnums
fn_patterns{end+1} =...
sprintf('./fsw_scans_narrow/%sD%dO1_sweepAtten_side_R_atten*.mat', whichRow, devnum);
fn_patterns{end+1} =...
sprintf('./fsw_scans_narrow/... |
function [ iam ] = getIAM( frame,M,N)
hsv = rgb2hsv(frame);
luminance_frame = hsv(:,:,3);
iam = 0;
iam1 = 0;
iam2 = 0;
for i = 1:(N-1)
for j = 1:M
iam1 = iam1 + abs( luminance_frame(i,j) - luminance_frame(i+1,j) ) ;
end
end
for i = 1:N
for j = 1:(M-1)
iam2 = iam2 + abs( luminance_frame(i,... |
% SCALE Multiply a Diffraction object by a scalar value
%
% Usage:
% >> object=scal(object,coordinate,value)
% The "coordinate" input may be 'Grid1' or 'Grid2'.
%
% See also Xray, Diffraction, shift
%
%
% created August 27, 2015 by Tommy Ao (Sandia National Laboratories)
% modified January 21, 2016 by Tommy Ao
%
fun... |
function avgdata=adjavg(data,n)
% This function averages adjacent data points to smoothen the data
% n = number of points to average
newdata=[];
for i=1:length(data)
j=round(n/2)-1;
while (i<=j)||(i>length(data)-j-1)
j=j-1;
end
if j<=0
newdata(i)=data(i);
else
newdata(i)=mea... |
clear
image1 = imread('Enter image name here');%Reading the image into variable image1
N = size(image1);%N is an array holding the size of the image
output1 = image1;%Assigning the output image to the original image. Will change as we go through the code
%Assigning the random initial pixel to get the centres for cluste... |
function [T,Y] = integratorFourP2X7(ton,toff,Ttot,amp,dt,y0)
global a1 a2 a3 b1 b2 b3 g12 E12;
%#codegen
T=(0:dt:Ttot).';
nT=floor(Ttot)/dt;
Y=zeros(nT,4);
Y(1,:)=y0;
for j=1:nT-1
A=amp*(heavi(T(j)-ton)-heavi(T(j)-toff));
Y(j+1,1)=(Y(j,1)+dt*(b1*Y(j,2)))/(1+dt*(a1*A));%C1
Y(j+1,2)=(Y(j,2)+dt*(a1*A*Y(j,1)+b2... |
function AlphaCuedV2_train2(INFO,name)
% clear
% close all
% addpath('./Functions');
%
% name ='test2';
%
% INFO.name = name;
% INFO.logfilename = ['Alpha_Cued_Lateralization/Logfiles/' name '_Logfile.mat'];
% INFO.P = get_parameters;
%% ----------------------------------------------... |
function materials = Materials()
%
% This function is for the definition of the materials and its material properties for Main simulation for
% the gear design
%
% Material parameters:
%% The array consists of material parameters which are needed for calculations
%% The values represents:
% Density [kg/m^3];... |
function aRatio = computePerClassAspectRatios(posImgDir, posGtDir, pLoad, aRatioType, plot_orientation_dist)
if nargin<5
plot_orientation_dist = 0;
end
% JMBUENA!!
% Compute the average window size for every subclass of the
% positive metaclass. We are going to keep this average window size
% within the detect... |
% Runs the STRFLab code on data generated from ECoG
clear all;
%% Define parameters for fitting
nLags = 10; %% How many time lags do we use?
useGPU = 0; %% Do we use GPU acceleration?
numElectrodes = 109; %% How many iterations for this process? (should be total num of electrodes)
numSpecBands = 32;
% Forward/Rever... |
MSG_SIZE = 1000*1024;
Fs = 16e3;
% Load data from file
fid = fopen('buff');
x = fread(fid, inf, 'ubit8');
fclose(fid);
% Fix Linux endianess
for i = 1:4:length(x)
x(i:i+3) = flipud(x(i:i+3));
end
mic = zeros(8,MSG_SIZE/20);
status = zeros(MSG_SIZE/20,1);
for i = 1:MSG_SIZE/100
x_idx = (i-1)*100;
mic_idx ... |
%%Rand to optimize the parameter of PID controller
clc;
close all;
clear all;
k=1.5;
n=2;
T=40;
r=1;
if n==1
delta=0.5*k;
else
delta=0.92*k*sqrt(n);
end
ti=0.5*n*T;
Min_delta=0.05*delta;
Max_delta=delta + (delta-0.001)*10;
Span_delta=(Max_delta-Min_delta);
Min_ti=0.05*ti;;
Max_ti=ti+ti*10;... |
function [im_alt] = altertxt(im_tx1,im_tx2)
% This function arrange the pixels alternatively from Text image 1 and 2, and
% returns the interleaved Text image
% im_tx1 - Input Text image 1,3,5 to be encoded
% im_tx2 - Input Text image 2,4,6 to be encoded
% im_alt - Output Interleaved Text image
% Locate Text i... |
function obj = element(obj,FEM)
%% independent degrees of freedom (n set)
% numbers and locations
hn = find(FEM.gnum==obj.GN);
if size(hn,2)~=1; error(['There should be one and only one GRID with ID#',num2str(obj.GN),'']); end
obj.xn = [FEM.GRID(hn).X1;FEM.GRID(hn).X2;FEM.GRID(hn).X3];
% dof
cm = str2num(... |
function fnval = logstate_lik_fun(data,times,y,p,more)
y = exp(y);
fnval = more.fn(data,times,y,p,more.more);
end
|
img = imread('a.tif');
avg = fspecial('average', 15);
img_mean = imfilter(img, avg);
figure('Name', 'Original');
imshow(img);
figure('Name', 'Mean Blur');
imshow(img_mean); |
function w_real = wheel_model(Tor_des, dt, prev_Tor)
%quantize input
ntBP = numerictype(1,8,4);
y = quantize(fi(Tor_des),ntBP);
% add noise
y = add_noise(y,dt);
%saturation
minT = -3;
maxT = 3;
y = saturation(y, minT, maxT);
w_real = y;
end
function y = saturation(y, minT, maxT)
y = max(min(y, maxT), minT);
end
f... |
function [ output_args ] = stuff_zeros( input_args,length )
%STUFF_ZEROS Summary of this function goes here
% Detailed explanation goes here
[columns,~]=size(input_args);
output_args=zeros(length,1);
%disp(size(input_args));
%disp(size(output_args));
if length>=columns
output_args(1:columns)=input_args;
else
ou... |
if ~verifySpmExists()
return
end
StoreVariables
tic
aliveChecker = imlook4d_alive('spm'); % Print '.' while 'spm' in call stack (meaning that it is running). Stop-command: delete(aliveChecker)
if ~exist('atlas','var')
% Defaults
atlas.atlasDefinitionFile = 'labels_Neuromorphometrics';
end
% Set vari... |
function [T,I,Y]=perfusionResponsepotentP2X4sub(y0,ton,toff,Ttot)
ode=modelODEpotentP2X4sub(ton,toff);
[T,Y]=ode15s(ode,[0 Ttot],y0,odeset('NonNegative',1:9));
I=getTotalCurrentpotentP2X4sub(Y);
end |
x=zeros(1,21);
x(1)=1-exp(-1);
for i=2:21, x(i)=1-(i-1)*x(i-1); end
disp(x) |
Anal_chan = 10;
Digit_chan = 10;
Total_chan = Anal_chan + Digit_chan;
Title = 'MatlabSimulink';
Version = '1999';
An_max = 65535;
An_min = 0;
%value_number = 10000;
frequency = 50;
Anal_names = {'Ia', 'Ib', 'Ic', 'Ua', 'Ub', 'Uc', 'Uni', 'Unk','Temp1','Temp2'};
Digit_names = {'Пуск 1 ст. АОПО' 'Сраб. 1 ст. ... |
% Create reference image
function [ref_image] = reference_im(sigma,std)
ref_image = zeros(128,128);
for i = 1:128
for j = 1:128
vec = [j,128-i];
theta = acos(dot(vec-[64.5,64.5],std)/(norm(vec-[64.5,64.5])*norm(std)));
ref_image(i,j) = (1/(1+abs(theta)^2))*cos(8*pi*theta);
end
end
ref_im... |
function [W, Z] = trideigs(D, E)
% Calculates the eigenvalues and eigenvectors of a symmetric tridiagonal matrix.
N=numel(D);
IL=1; IU=N;
M=N; LDZ=N;
LWORK=20*N; LIWORK=10*N; INFO=0;
VL=0.0; VU=1.0; ABSTOL=0.0;
ISUPPZ=zeros(2*M, 1);
IWORK=zeros(LIWORK, 1);
W=zeros(N, 1);
Z=zeros(LDZ, M);
WORK=zeros(1, LWORK);
if(narg... |
function []=plotnonlinobjective(F,width,height,KT)
params(1) = struct('name', 'focal','ymeasure','foc2' ,'xmeasure','foc1', 'yKrow', 1, 'yKcol', 1, 'xKrow',2, 'xKcol', 2);
K=[width 0 width/2; 0 width height/2; 0 0 1];
numsl=200;
numsols=numsl;
usedFs=[];
for i=1:size(F,2)
if(size(F{1,i},1)~=0)
... |
%ÃèÊöº¯Êý·ÖÎö
clear all;
close all;
clc;
T1 = 0.1;
T2 = 0.25;
K=2;
Astart=0.001;
M=1;
Aend = 1;
A = Astart:0.001:Aend;
lp1 = fix((Aend-Astart)/0.001);
NA = zeros(lp1+1,1);
for i = 1:lp1+1
NA(i) = 4*M/(pi*A(i));
end
m_NA = -1./NA;
num = [K];
den = conv([T1 1],[T2 1 0]);
w = 5:0.1:100;
[rem,img... |
function []=test2_with_fminsearch ()
clc;
close all;
Exp_matrix=load('20K_per_minute.txt.txt'); %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
n=size(Exp_matrix,1);
c=0.1002; % temp correction
Beta= [20/60]; %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
p=1;
for i=1:15:n ... |
function [coef_homogen_a, tra, lambda_min, lambda_max] = fct_vp_a(X_i,model)
% Compute singular value of the quadratic covariation of the geostrophic velocity
% a(x,x)
%% Compute a
a = fct_a(X_i,model);% n_x x d x d
% Homogeneous part of a
l_pixel=model.l_pixel_nugget;
nugget = exp(model.kriging.lognoisevariance);
coe... |
function net = net(net)
%UPDATENET Creates a current network object from an old network structure.
%
%
% NET = UPDATE(S)
% S - Structure with fields of old neural network object.
% Returns
% NET - New neural network
%
% This function is caled by NETWORK/LOADOBJ to update old neural
% network objects when they... |
clear all;
E = load('outputAllNeurons.txt');
a = load('outputSpikes.txt');
figure;
startNeuron = 1;
endNeuron = 4*764;
RS = a(a(:,3)==0,:);
IB = a(a(:,3)==1,:);
FS = a(a(:,3)==2,:);
LTS = a(a(:,3)==3,:);
subplot(6,1,1);
start = 100;
value = 20;
sTime = 20;
pickInput =[zeros(1,start),value*ones(1, sT... |
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% Sudoku Generator
%
% Comments : Currently, created for a 3 x 3 x 3 grid
% Author : Jebin Elias ( jebinelias@gmail.com )
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% Validate the grid at every substitution.
%... |
function [ roads] = plan_roads(map_size)
%% The following part of code make the road-map on which traffic will flow
figure;
axis([0 map_size 0 map_size]); % traffic space
i=1;
while(~waitforbuttonpress)
[x, y] = ginput(2); % take a 2-cli... |
function conn=dbLocalConnect(databasename,username,passwd)
%dbLocalConnect connect to a database running on a local server
%
% CONN = dbLocalConnect(DATABASENAME,USERNAME,PASSWORD) returns a
% database connection object CONN. DATABASENAME is the local database name.
% USERNAME is the user name. PASSWORD is the passwo... |
function [evalues, repeats] = eigval(A)
% eigval Eigenvalues and their algebraic multiplicity.
%
% evalues = eigval(A) returns the distinct eigenvalues of A,
% with duplicates removed and sorted in decreasing order.
%
% [evalues, repeats] = eigval(A) also returns the row vector
% repeats that gives the multipli... |
function plot_T_scan(axeshandle,T_vector,T_scan_data)
axes(axeshandle);
hold on;
ColorOrder=lines(10);
ColorOrder=flipud(ColorOrder);
for ii=1:size(T_scan_data,1)
h=plot(T_vector,T_scan_data(ii,:),'Color',ColorOrder(ii,:));
h.LineWidth=1.5;
end
hold off;
box on;
ax=gca;
ax.BoxStyle='full';
ax.LineWidth=1.5;... |
% learn_qso_model: fits GP to training catalog via maximum likelihood
rng('default');
% load catalog
catalog = load(sprintf('%s/catalog', processed_directory(training_release)));
% load preprocessed QSOs
variables_to_load = {'all_wavelengths', 'all_flux', 'all_noise_variance', ...
'all_pixel_mas... |
function blockingLanes = check_blocking_lanes(hBs,ha,hb,ii)
%CHECK_BLOCKING_LANES returns currently blocking lane numbers
% Given BS height, vehicle antenna height, blocker vehicle height,
% current driving lane, returns the lanes blocking the current lane.
blockingLanes = [];
for jj = 1:ii-1
criticalHeight = h... |
classdef Bond
properties
Principal
Term
Coupon
MarketPrice
end
methods
function obj = Bond(p,t,c,m)
obj.Principal = p;
obj.Term = t;
obj.Coupon = c;
obj.MarketPrice = m;
end
function disp (obj)
printf("Principal: %f\nTerm: %f\nCoupon: ... |
clc;
close all;
clear all;
tic;
% Image input
im_in = imread('flowersc.png');% Color image
size_temp = size(im_in);
% Text inputs
im_tx = imread('text.jpg'); % Text page 1
if( ~isequal(size_temp, size(im_tx)) )
error('All Input Images must be equal in size');
end
size_temp = size(im_tx);
im_in_tx1(:... |
function autocol = newAutocol(config)
% Starting the communication with the autocol (only used at IPAG)
% return it as a Autocol object
naomi.log('Starting Autocol communication...', 1, config.verbose);
autocol = naomi.objects.Autocol(config.autocolCom);
naomi.log('OK\n', 1, config.verbose);
end |
fullimageFileName = 'D:\Class\4.2\Lab\Degital Image Processing\DIPAssignment\carPlate\carplate5.jpg';
cd 'D:\Class\4.2\Lab\Degital Image Processing\DIPAssignment';
%% Input image
% read image
I = imread(fullimageFileName);
% figure; fig = imshow(I); title('orginal image');
% saveas(fig, 'fig/1 orginal image.png');
... |
r = 100;
count = 5000;
x = zeros(1, count);
y = zeros(1, count);
z = zeros(1, count);
tic;
for i = 1 : count
theta = rand * 2 * pi;
phi = acos(1 - 2 * rand);
x(i) = r * sin(phi) * cos(theta);
y(i) = r * sin(phi) * sin(theta);
z(i) = r * cos(phi);
end
plot3(x, y, z, 'ro', 'MarkerSize',2, 'MarkerFa... |
function [F] = fundMatrix(idx,c1,r1,c2,r2)
% Using SVD to solve
x1 = c1(idx(:,1));
y1 = r1(idx(:,1));
x2 = c2(idx(:,2));
y2 = r2(idx(:,2));
a = [(x1-mean(x1)) (y1-mean(y1))];
b = [(x2-mean(x2)) (y2-mean(y2))];
s1 = 1/(std(sqrt(sum(a.^2,2))))*sqrt(2);
s2 = 1/(std(sqrt(sum(b.^2,2))))*sqrt(2);
a = a*s1;
xx1... |
function [ contribs ] = singleMetricContribution( metrics )
%takes in a set of metrics and returns a set of contributions
%for each of those metrics based on distance from each other.
metLen=length(metrics); % extract length of metrics.
indices=1:metLen;
Vals=[metrics;indices]; % indicies paired with metrics.
Vals=... |
% poidec4.m
% calculate exponential decay for ensemble of particles with
% poisson-distributed quenchers. This version uses tau_kww and beta
% from the exciton diffusion model, and also differentiates between
% defect-quenchers and dyes.
%tau=3000; % lifetime without quenchers, in ps
avedye=2.992; % average number ... |
classdef Image
% Constructs an image object from an input fits file.
properties
green1=NaN; % 1st green channel.
red=NaN; % Red channel.
blue=NaN; % Blue channel.
green2=NaN; % 2nd green channel.
end
methods
function obj = Image(filename, w... |
function rgb = lime_green
rgb = [0.19607, 0.80392, 0.19607];
end |
%% Testing: whether two sequence represent the same person
% process the first test seq
personname1 = exterior_folders( test_index_set(1)+2 ).name;
video_directory='../feature/';
cd(video_directory);
cd(personname1); % you set personname1
interior_folders=dir;
[num_interior_folders,~]=size(interior_folders);
if num_int... |
% ****************************************************************
% PLOTTING
% ****************************************************************
% Code for the nonlinear model described in the Appendix B in the
% "Sovereign Default Risk Premia, Fiscal Limits, and Fiscal Policy"
% (Huixin Bi, 2012)
% Aim : Plot time s... |
% вариант 9
clear;
load carbig;
good_Acceleration = []; % первая характеристика
good_Horsepower = []; % вторая характеристика
n = 1000; % размер бутстреп выборки; 100
good = 0;
for i = 1 : length(Horsepower)
if and(not(isnan(Horsepower(i))), not(isnan(Weight(i))))
good_Acceleration = [good_Acceleration, Acc... |
% This is a toy script to guide you to using CDMentropy
% with a toy binary word observations.
%% Add the library path
startup
%% Check if the package is downloaded/installed correctly
if ~exist('words2multiplicities')
disp('Did you forget to "git submodule update --init"? Let me try it.')
disp('(Thi... |
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