text stringlengths 8 6.12M |
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function q=Isotherm(y, P, T, isotherm_parameters)
%hypotheticalisotherm- Calculate the molar loadings of a two component mixture
% Calculate the total loading of a two component mixture loading. It is
% assumed that the isotherm is able to be represented by a dual site
% langmuir competitive isotherm with tem... |
function isValidMat = validateLidarMatFile(absPathToLidarFile, simConfigs)
%VALIDATELIDARMATFILE Validate whether the input dir is pointing a valid
%result .mat file for the LiDAR file. If not, replace it with the correct
%one.
%
% Inputs:
% - absPathToLidarFile
% The absolute full path to the .mat file to valida... |
%% conv2_mult
function y = conv2_mult(a, B, convopt)
y = [];
for i=1:size(B,3)
y(:,:,i) = conv2(a, B(:,:,i), convopt);
end
return
end |
% SLAM_2D_NONLINEAR
% 16-833 Spring 2020 - *Stub* Provided
% A 2D SLAM algorithm
%
% Arguments:
% none
%
% Returns:
% none
%
function slam_2D_nonlinear()
%% Load data
close all; clc;
addpath('../util');
load('../../data/2D_nonlinear.mat');
%% Extract useful info
n_poses = size(gt_traj, 1);
n_landmarks = size... |
function x = conjgrad(A,b,x)
% conjgrad - solves the system of linear equations Ax = b via conjugate gradient (code example from http://en.wikipedia.org/wiki/Conjugate_gradient_method)
%
% Syntax:
% x = conjgrad(A,b,x)
%
% Inputs:
% A - [matrix]
% b - [array]
% x - [array] initial solution; can be a vector of... |
classdef CondModel < ParamModel
methods(Abstract = true)
inferOutput;
end
end
|
function [ spif triggerif d ] = util_load_mcds( opmode, varargin )
%UTIL_LOAD_MCDS Read MCD files.
% This is a shortcut for
% util_load_spike_trigger_mcdstream_from_multiple_files
% and util_load_spike_trigger_mcdstream
% Please refer to the original function.
%
% Input:
% opmode: 'one' / 'm... |
function isborder = determine_border_vertices_vol_tet(nv, elems, sibhfs, isborder, quadratic, varargin)
% DETERMINE_BORDER_VERTICES_VOL Determine border vertices of a volume mesh.
%
% ISBORDER = DETERMINE_BORDER_VERTICES_VOL(NV,ELEMS)
% ISBORDER = DETERMINE_BORDER_VERTICES_VOL(NV,ELEMS,SIBHFS)
% ISBORDER = DETERMINE_BO... |
function [x_filtered] = Filter(x,verbose)
%FILTER Summary of this function goes here
% Detailed explanation goes here
% Eye tracker has a sample rate of 120Hz, but the analog output is 1000Hz.
analog_freq = 1000; %hz
eye_tracker_freq = 120; %hz
freq_diff = analog_freq / eye_tracker_freq;
% to smo... |
% sub = rossubscriber('/stable_scan');
% scan_message = receive(sub);
% r = scan_message.Ranges(1:end-1);
% theta = [0:359];
%Initialize theta and ROS stuff
sub_bump = rossubscriber('/bump');
sub = rossubscriber('/stable_scan');
pub = rospublisher('/raw_vel');
msg = rosmessage(pub);
w = 0.2;
d = 0.2413;
vR = -w*(d/2)... |
% Calculate a translation parameter and a rotation parameter between the reference
% frame and the current frame
function [locallattice_A0,locallattice_B0,A0_coor,B0_coor,rotationdegree,...
translationinpixels,elapsedtime]...
=featurebasedtracking(referenceframe,currentframe)
%% Inputs and output... |
function n_ms = cruces_zero(x,fs)
n = 0;
for i = 1:length(x)-1
if x(i+1)*x(i) < 0
n = n+1;
end
end
ms = 1000*length(x)/fs;
n_ms = n/ms;
end |
function [err] = m3f_tif_exper(experName, dataName, splitNums, initMode, ...
seed, numFacs, KU, KM, numTopicFacs)
%M3F_TIF_EXPER Run m3f_tif Gibbs sampling experiments.
%
% Usage:
% [err] = m3f_tif_exper(experName, dataName, splitNums, initMode, seed,
% seed, numFac... |
function sim_start
%
% simulation example for use of cloud dispersion model
%
% Arthur Richards, Nov 2014
%
%% Simulation state
% time and time step
t = 0;
dt = 1.0;
% The minimum distance at which a pair of UAVs may be without crashing into
% each other
uavCrashRadius = 15.0;
% The minimum distance apart at which a... |
%%%%% x(k+1) = A x(k) + B u(k)
%%%%% y(k) = C x(k) + D u(k) Note: Assumes D=0
%%%%%
%%%%% Illustrates open-loop prediction
%%%% yfut = P*x + H*ufut + L*offset
%%%% [offset = y(process) - y(model)]
%% Fahrzeugparameter f¨¹r MPC Controller Design
% Physical parameters
g = 9.81;
Pi = 3.1416;
% E-Moto... |
%% Stelling 12
%
% De functie aanroep 'zeros(3)' genereert een matrix
% met 3x3 elementen.
%
Antwoord = 1;
|
%% Main
clear all; clc; close all
% Global varialbes
global env
global log
% Create rocket class
DTF = rocket(init_rocket());% creates class with the initial values
%%
motor_init( DTF ); %loads rocket motor
%%
% Initilize Environmental variables
% optional argument: Elevation(m) Temperature(C)and Pressure(Pa)
env = env... |
function out = sbxReadTiff(dir_path)
%SBXREADTIFF Reads a directory of tiffs, specified by dir_path, in order,
% and makes them available for use in other sbx functions
if exist(dir_path) ~= 7, out = []; return; end
if dir_path(end) ~= '\', dir_path = [dir_path '\']; end
% Get a list of tiff files in th... |
% rotate image clockwised around center point (1,1), with a radius degrees
% input1---source image: I
% input2---rotation degrees: radius (ex: pi/3)
% output---rotated image: I_rot
function I_rot = rotation(I, radius);
% RGB channel
R(:,:) = I(:,:,1);
G(:,:) = I(:,:,2);
B(:,:) = I(:,:,3);
% get height, ... |
clc;
clear all;
close all;
data = csvread("..\..\Data\PETR4.SA.csv", 2, 1);
adj = data(:,5);
figure
plot(adj)
grid on
mean(adj)
var(adj)
std(adj)
figure
autocorr(diff(adj)) |
% function Kernel
% - inputs : tau, and trainingSet x
% - Output : K the kernel matrix with : for all i, j in [1, length(x)], Kij = exp(-0.5*tau*|xi-xj|^2)
function [ K ] = Kernel( x, tau )
d=sum(x.*x,2); % the diagonal of x*x'
A = 0.5*d*ones(1,length(d)) + 0.5*ones(length(d),1)*d'-x*x';
K = exp(-tau*A);
end
|
clear model;
names = {'x', 'y', 'z'};
model.varnames = names;
model.Q = sparse([1 0.5 0; 0.5 1 0.5; 0 0.5 1]);
model.A = sparse([1 2 3; 1 1 0]);
model.obj = [2 0 0];
model.rhs = [4 1];
model.sense = '>';
%gurobi_write(model, 'qp.lp');
results = gurobi(model);
results.x
|
function [ dist ] = distance( V_2d_c1_noi, V_2d_c2_noi, F_noi )
%UNTITLED Summary of this function goes here
% Detailed explanation goes here
% Camera 2
dist_2 = [];
for i = 1:size(V_2d_c1_noi,2)
lm_2 = F_noi * [V_2d_c1_noi(:,i);1];
x = V_2d_c1_noi(1,i);
y = V_2d_c1_noi(2,i);
dist_2(i) = abs(x*lm_2(1... |
%% -- ZEROTREE WAVELET VIDEO CODER -- %%
% This is an algorithm that recreates the zerotree wavelet coding for video.
% Based on the work of the following paper:
% - Stephen A. Martucci, Member, IEEE, Iraj Sodagar, Member, IEEE, Tihao Chiang, Member, IEEE " A Zerotree Wavelet Video Coder"
%% -- CLEARING MATLAB -- %... |
function [ media ] = filtering( x)
%media mobile: funzione che calcola la media su una finestra di valori pari
%a passo, media con shift pari a passo
filtCutOff = 1;
sample=30;
[b, a] = butter(3, (2*filtCutOff)/sample, 'low');
media = filtfilt(b, a, x);
end
|
function TransformedD = importDigital(p)
path=strcat(p,'DEV\MATLAB\ETL\DATA\Digital');
GoogleMktRef=readtable(strcat(p,'DATA\ReadIn\GoogleMktRef.csv'));
MSNMktRef=readtable(strcat(p,'DATA\ReadIn\MSNMktRef.csv'));
%% LOAD & CONCAT DATA
for file=dir(path)'
if ~file.isdir
load(strcat(path,'\',file... |
function [ dataT, dataN ] = AddNoChecksGroup( dataT, dataN, strQuest, nGroup )
%UNTITLED4 Summary of this function goes here
% Detailed explanation goes here
nRows = size( dataT, 1 );
nCols = size( dataN, 2 );
qNo = zeros(1, nCols) - 1;
qCount = 1;
c = 1;
while c < nCols
strQ = dataT{1,c};
hasLParen = find... |
%% 4D matrix research
close all;
clear all;
clc;
%% Load Data
% load synthetic data tensor
load('SynthGoUp.mat');
% get 5 different sources (go up 1 meter every time)
source1=zeros(1000,10,3);
source2=zeros(1000,10,3);
source3=zeros(1000,10,3);
source4=zeros(1000,10,3);
source5=zeros(1000,10,3);
source1(:,... |
function [] = plot_coord_sys(frame, vLen)
% Function to plot a coordinate system using a frame
%
% Parameter 1: frame of a pose
% Parameter 2: length of the coordinate system vectors
%
% No return values
%
% get size of frame
[rows cols] = size(frame); % number of rows and... |
function [ index_ineq, num_max, flag_ineq_region ] = define_inequation_node_less_old(nodes, index_node, set_ineq, branch_index, controls)
%UNTITLED5 Summary of this function goes here
% Detailed explanation goes here
%Find inequation that define the regions but were not used
set_new_index_ineq = [];
... |
function [K,F] = enForceBCs(bNodes,bValues,K,F)
BC = K(:,bNodes)*bValues; %u(0)K(:,1)+u(1)K(:,end)
% Modify F
F = F - BC;
% Update Nodes in F
F(bNodes) = bValues;
% zero out corresponding columns and rows
K(bNodes,:) = 0;
K(:,bNodes) = 0;
% change Nodes in K
K(bNodes(1... |
function yenddiff = yenddiff_vs_yinit(y_init)
% Matlab Function to calculate the difference between the y value
% at boudary and required value
% y_init: Initial y value (RHS boundary value
% yenddiff: The difference between the y value at boudary
% and required value
% Store the ODEs as functions
ODE = @(x,y) -x*y-y... |
function [Rt, Rmp, Rp, D] = DecompAffine(A)
%{
computes the decomposition of the blockmatrix A of an affine 3x3-transform H_a
where H_a = [ A t
0' 1]
We can use that A is decomposable using the SVD:
A = UDV' = UV'VDV' = (UV')(VDV') = (Rt)*(Rmp*D*Rp)
where U and V are orthogonal matrices & D is a d... |
% texture of the spin-vortex core
%
% b'' + b'/r = sin2b (1/r^2-1/xi^2)
%
%
function polar_spinv()
find_figure('polar_spinv'); clf; hold on;
x=0:0.05:8;
b=text1(x);
plot(x,b, 'b.-');
plot(x, -pi/2*(1-exp(-x.^2/6)), 'r-');
plot([0 x(end)], -pi/2*[1 1], 'k-');
end
% find texture with -pi/2 BC
% x = 0.... |
clear;
% Input image
house = godthem256;
% 1 for the simple differences operator
% 2 for the central differences operator
% 3 for the Roberts cross edge operator
% 4 for the Sobel operator
gradmagnhouse_1 = sqrt(Lv(house, 1));
gradmagnhouse_2 = sqrt(Lv(house, 2));
gradmagnhouse_3 = sqrt(Lv(house, 3));
gradmagnhouse_4... |
classdef TestcomputeSphericalJointConstraints < matlab.unittest.TestCase
% TestcomputeSphericalJointConstraints performs unit testing for computeSphericalJointConstraints
properties
end
methods (Test)
function testComputationIdentity(testCase)
% testComputationIdentity tests... |
function image = createImageFromRtDose(rtdose)
%CREATEIMAGEFROMRTDOSE creates an Image object using the binary data of the RtDose file
%
% image = createImageFromRtDose(rtdose)
%
% See also: RTDOSE, DETERMINEDOSEVECTORS, IMAGE
if ~isequal(rtdose.imageOrientationPatient,...
[1;0;0;0;1;0]);
warnin... |
close all;
clear;
clc;
neweva = [1, 1.0657, 1.0997, 1.0856;
2, 2.0863, 2.2242, 2.1596;
3, 3.0986, 3.3934, 3.2405;
4, 4.1020, 4.5027, 4.3442]
fig = figure('Position',[0 250 800 350]);
h = bar(neweva(:,1)',neweva(:,2:4));
set(h(1),'FaceColor','red');
set(h(2),'FaceColor','black');
set(h... |
%Simulated Annealing example
function xyz()
ObjectiveFunction = @simple_objective;
X0 = [0.5 0.5]; % Starting point
lb = [-64 -64];
ub = [64 64];
[x,fval,exitFlag,output] = simulannealbnd(ObjectiveFunction,X0,lb,ub)
end
function y = simple_objective(x)
y = (4 - 2.1*x(1)^2 + x(1)^4/3)... |
clc; clear;
load('linear.mat');
K=10;
%% Sample Generate
N=1000;
iter = 400;
s1_mu = [0,0];
s1_cov = eye(2);
a_real = [0.35,0.65];
thr = [0,cumsum(a_real)];
u = rand(N,1);
label = zeros(N,1); X = zeros(N,2);
indice1 = find(thr(1)<=u & u<thr(2));
sample_num_1 = length(indice1);
fprintf('sample 1 number: %d \n', samp... |
function result=GetAmplitude(Txant,Rxant,Subc,RawCSI)
%从csi_entry中获取csi(rawcsi即已经过read_bfee(bytes)读取后的结果，具体可以参考入侵检测代码中的相关部分)
%csi_entry= csi_trace{i+startPkt};
csi = get_scaled_csi(RawCSI);
result=db(abs(squeeze(csi(Txant,Rxant,Subc))));
end |
function p = delayModel(p,stims,weights_before)
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% Matlab code for making a Self Organising Feature Map grid (SOFM)
%
% Rosie Cowell (Dec 2011)
%
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% Represent the... |
function [an, xmu, xsigma ] = nanzscore(X)
if any(isnan(X(:)))
xmu = nanmean(X);
xsigma = nanstd(X);
x = (X - repmat(xmu, length(X), 1))./repmat(xsigma, length(X), 1);
an = x;
else
[x, xmu, xsigma] = zscore(X);
end
end |
%First I ran 'VideoToFrame.m' to convert video into frames (all folders)
%Then I ran 'BorderOnImg' to put boxes on original locations of drones (all folders)
%'MainCode.m' is ran in 30 given folders with YOLOv3 outputs.
M = readmatrix('DataFolder'); % Information from YOLOv3 (see 'DataMatrixSF.m')
MN = 1; % if ... |
tspan = [0, 213];
n = 42600;
m1 = 1;
m2 = 1;
m3 = 1;
sol0 = [0.97000436, -0.24308753, -0.97000436, 0.24308753, 0, 0,...
0.466203685, 0.43236573, 0.466203685, 0.43236573, -0.93240737, -0.86473146];
[t,sol] = euler3(@(t,y) threemass(t, y, m1, m2, m3), tspan, sol0, n);
hold on
figure(1)
plot(sol(:,1),sol(:,2), ... |
%% Init PAR function - for initializing the parameters of GEA/BAT/PSO algorithm
% Standard procedure for initializing, applicable for all three algorithms
% - GEA, BAT, PSO
function [Sol, Fitness, fobj, lb,ub] = initpar(pars,options);
n = options.n;
d = pars.nvar;
func = pars.fgname;
[lb,ub,fobj,func_min] ... |
%MATLAB CODE ASSIGNMENT 2 ENPM662
%ANSWER 2
clc
clear all
%writing the code for A matrices
%%declaring the variables and symbols for the matrix multiplication
syms d1 d2 d3 l1 l2 l3
theta1 = -90;
theta2 = -90;
theta3 = 90;
a1=0;
a2=0;
a3=0;
alpha1=-90;
alpha2=-90;
alpha3=0;
%%The general form of ... |
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%% Copyright (C) 2016 Armin Alaghi and N. Eamon Gaffney
%%
%% This program is free software; you can resdistribute and/or modify it under
%% the terms of the MIT license, a copy of which should have been included with
%% this program at ht... |
%*****************************************************************
% Description: phase de-noising based on thresholds for spatial source phase
% Usage:
% pS = phase_denoising(cS)
% Input:
% cS: the corrected spatial map estimate with dimension 1 x V
% Output:
% pS: the corrected and denoised spatial... |
%lyy33
clear all
Q=load ('lye_1_25.TXT');
d=size(Q)
t=Q(:,2);
y=Q(:,1);
y1=Q(:,3);
y2=Q(:,5);
u=0.25;
%
y=y(1:10:d);
t=t(1:10:d);
figure(1)
plot(t,y);
grid on
pause
y=y/400;
y11=y(3:173);
p1=y11';
T=y(4:174);
T=T';
load step1;
u=u(1:171);
p2=u';
P=[p1;p2];
k1=1:171;
S1=7;
P=[p1;p2];
net=newff(minmax(P),[S1 1],{'... |
function [net] = trainingNetwork(T,net,threshold,maxIteration)
%% Code = 1, training is successful otherwise its not successful.
trainingSize = 7; % 70% percent of data will used to train the method.yy
trainingData = T(1:round(0.9*end)); % use 90% for training data
testData = T(round(0.9*end):end); % 10% for testing
co... |
function ConvertMSUAlarm3(fileName)
fid = fopen(fileName);
dat = fscanf(fid, '%f %f %f %f', [4 inf]);
fclose('all');
fid = fopen([fileName(1:end-3) 'alm'], 'w');
for i=1:size(dat,2)
fprintf(fid,'%d,%f,%f,%f\n', i, dat(4,i), dat(3,i), dat(2,i));
end
fclose(fid); |
function x_bin = toBin(x, l, u, N)
% toBin - Uses binaryDiscritization()
% This function works with vector inputs for x, l, u
% returns a char array length(x) by log2(N)
% x - value to be discritized
% l - lower bound
% u - upper bound
% N - number of discretization ranges
for i = 1:length(x)
x_bin(i,:) = binary... |
function [R_ans, t_ans] = correct_changed_cams(changed_views , changed_cams, R_ans, t_ans)
if (changed_views == 1)
T = diag([-1 -1 1]);
for i = 1:size(t_ans, 2)
Ri = eye(3);
if (length(size(R_ans)) > 2)
Ri = R_ans(:, :, i);
else
Ri ... |
function [output] = special_smooth_2d(input, win, bins1, bins2, nGrid)
output = zeros(size(input));
nGrid1 = nGrid(1);
nGrid2 = nGrid(2);
x1 = (-nGrid1:nGrid1)/nGrid1;
x2 = (-nGrid2:nGrid2)/nGrid2;
Smoother1 = exp(-x1.^2/win(1)^2/2);
Smoother2 = exp(-x2.^2/win(2)^2/2);
Smoother1 = Smoother1./sum(Smoother1);
Smoothe... |
clc
close all
ponto = 0;
hue = plot(50,50,'rx','LineWidth',2);
axis([0 127 0 255]);
hold on
for i = 1:255
plot(i,ponto,'rx','LineWidth',2)
ponto = ponto +1;
pause(.001);
end |
function [ ] = make_ace_gas_vmrs_with_pratmo( tanstruct_o3_in, tanstruct_T_in, save_appendix, gasnames_in )
%A function to calculate the the VMRs of trace species at multiple local
%solar times (LSTs) throughout the days of ACE measurements, at the
%measurement locations. The values can be used to create ratios that ca... |
% rectangle('Position',[6 16-8 5 2], 'FaceColor',[0.8 0.8 0.8])
% hold on
% rectangle('Position',[11 16-8 5 2], 'FaceColor',[0 0 0])
%
% axis([0 16 0 16]);
%[sortedX,sortingIndices] = sort(classifer_weights,'descend');
clear all;
% load('classifier_weights_10.mat');
% [sortedX,sorti... |
classdef XmlProcessReader
%XMLPROCESSREADER Summary of this class goes here
% Detailed explanation goes here
properties(Constant,Access=private)
logger = ether.log4m.Logger.getLogger('ether.process.XmlProcessReader');
end
methods
function process = read(this, filepath)
import ether.process.*;
this.l... |
function plotAnkle(pathJ,ankleThreshold,dt)
[pathH,~] = size(pathJ);
t = dt*(1:pathH);
subplot(1,3,1);
plot(t,pathJ(:,5),'b')
xlabel('Time [s]');
ylabel('\phi [rad]');
subplot(1,3,2);
hold on
plot(t(1:end-1),diff(pathJ(:,5)),'g*');
plot(t,ankleThreshold*ones(... |
% the LCMV filter in a two source scenario
% reference: Multichannel Eigenspace Beamforming in a Reverberant Noisy
% Environment With Multiple Interfering Speech Signals, 2009
% % Ziteng Wang @ 201812
% % Note: by setting g=[1; 0], LCMV attenuates the second source to some
% extent.
% When using MVDR, the interferece... |
function [ m , v ] = build_bound_matrix( c , i , j )
[row col] = size(c) ;
m = zeros(3) ;
v = false(3) ;
for ni = 1:3
c_i = i-2+ni ;
for nj = 1:3
c_j = j-2+nj ;
if c_i >= 1 & c_i <= row & c_j >= 1 & c_j <= col
m(ni,nj) = c( c_i , c_j ) ;
v(ni,nj) = true ;
... |
function [x0,x] = cvx_markowitz(mu0,mu,V,sigma,xx0,xx,trans_cost);
n = length(mu);
U = chol(V);
cvx_begin quiet
variables x0 x(n) y(n) total_trans_cost
maximize(mu' * x)
subject to
norm(U * x) <= sigma;
... |
function Prediction_Sig = Regression_Prediction_Sig(Real_Prediction_Path, Rand_Prediction_Path_Cell)
load(Real_Prediction_Path);
RandomQuantity = length(Rand_Prediction_Path_Cell);
for i = 1:RandomQuantity
i
tmp = load(Rand_Prediction_Path_Cell{i});
Rand_Corr(i) = tmp.Prediction.Corr;
Rand_MAE(i) = t... |
function drawBoundingBox(xBnd,yBnd,zBnd,lineWidth,color)
% drawBoundingBox(xBnd,yBnd,zBnd,lineWidth,color)
%
% This function draws the wireframe box that as described by the limits in
% xBnd, yBnd, and zBnd
%
hold on;
% Draw the bottom:
plot3(...
[xBnd(1), xBnd(1), xBnd(2), xBnd(2), xBnd(1)],...
[yBnd(1), yBn... |
%% Dimensionamento
%{
f0 = 40e3;
w0 = 2*pi*f0;
L = 2e-3;
Rs1 = 250;
Rs2 = 500;
fn = 10e3/f0 : 0.01 : 90e3/f0;
function y = Q0 (Rs, w0, L)
y = w0 * L / Rs;
end
function y = In (fn, Rs, w0, L)
y = 1./sqrt(1 + Q0(Rs, w0, L)^2 * (fn - 1./fn).^2);
end
figure;
plot(fn, In(fn, Rs1, w0, L));
title('Rs = 250 \Omega', 'in... |
function [XResult,YResult]=PSO_Stand(SwarmSize,ParticleSize,ParticleScope,IsStep,IsDraw,LoopCount,IsPlot)
%输入参数：SwarmSize:种群大小的个数
%输入参数：ParticleSize：一个粒子的维数
%输入参数：ParticleScope:一个粒子在运算中各维的范围；
% ParticleScope格式:
% 3维粒子的ParticleScope格式:
% [x1Min,x1Max
% ... |
function dataset = dir_to_dataset(directory)
files = dir(sprintf('%s/*.png',directory));
n_files = length(files);
dataset(n_files) = struct('img', NaN*ones(480,640,3), 'thm', NaN*ones(8), 'lbl',[]);
for n = 1:n_files
dataset(n).img = imread(sprintf('%s/%s',directory,files(n).name));
thm_name = sp... |
function [imhs, fig_h] = show_abundances(A2, m, n, title, plot_row, plot_col, options)
if nargin < 2
if ndims(A2) ~= 3
return;
end
end
if nargin < 4
title = 'Abundances';
end
if ndims(A2) == 3
[m,n,M] = size(A2);
A2 = reshape(A2, [m*n,M]);
end
endmember_num = size(A2,2);
if nargin < 5 || ... |
function q6(imagename)
a=[10,70,150,-10,-70,-150]
f= imread(imagename);
subplot(length(a) + 1,1,1), imshow(f);
for k =1 : length(a)
sum = f+a(k);
sum(sum>255)=255;
subplot(length(a) + 1,1,k+1), imshow(sum);
end
|
% Mahshid
% Machine Learning Project 1
% Main Function
%%
clc
clear all
close all
format long
%% Choose the type of effect/data to be studied and startup parameters
run_task=1;
while run_task==1
choice_data=menu('Please choose what you want to study','Facial Expressions Effect','Pose Effect','Illumin... |
clc; clear; %close all;
snrRange = -10:2:80;
ber_OFDM = []; ber_UFMC = [];
freqO = 0.8;
for i = snrRange
ber_OFDM(end+1) = berOFDM(i,freqO);
ber_UFMC(end+1) = berUFMC(i,freqO);
end
figure('name',num2str(freqO));
semilogy(snrRange,ber_OFDM,'ro--');
hold on;
semilogy(snrRange, ber_UFMC,'bx--');
title('Compari... |
nRepeats = size(pkStim,3);
b1_end = floor(nRepeats/2);
nPartitions = 1e3;
spkThresh = 1;
stimCells = find(stimMag>spkThresh);
respCells = find([roi.group]==1 | [roi.group]==9);
distThresh = 20;
trueCons = nan(nPartitions,length(respCells));
shufCons = nan(nPartitions,length(respCells));
for nPartition = 1:nPartitions
... |
waveFile='\dataSet\dean\201005-mirRecording\Record_Wave/陳亮宇_1/中華民國國歌_不詳_0_s.wav';
[y, fs, nbits]=wavread(waveFile);
frameSize=512;
overlap=0;
frameMat=buffer2(y, frameSize, overlap);
frame=frameMat(:,54);
[magSpec, phaseSpec, freq, ps]=fftOneSide(frame, fs);
n=length(ps);
order=10;
ave=polyval(polyfit((1:n)', ps, order... |
function [] = project4(xi)
%PROJECT4 Compute the estimate of input xi with varying degrees of
% accuracy using both natural and clamped cubic splines, as well
% as an calculating the hermite polynomial and an estimate at
% x=2.8.
%
% calling sequences:
% project4(xi);
%
% ... |
function pixellist = globalToLocalPixelList(pixellist, offset, ...
globalVolSize, localVolSize)
[r, c, z] = ind2sub(globalVolSize, pixellist);
c = c - offset(1); % xOffset
r = r - offset(2); % yOffset
z = z - offset(3) + 1; % zOffset
%truncate synapses outside downloaded data
indC = find(c == globalVolSize(2));... |
% Starter code prepared by James Hays
%This function will predict the category for every test image by finding
%the training image with most similar features. Instead of 1 nearest
%neighbor, you can vote based on k nearest neighbors which will increase
%performance (although you need to pick a reasonable value fo... |
function [ acc ] = ComputeAccuracy( X, Ys, convnet )
% Compute the accuracy
numOfSamples = size(X, 2);
[P, ~, ~] = EvaluateClassifier( X, Ys, convnet );
% Find the maximum value and the position
[~, max_pos] = max(P);
numOfCorrect = 0;
for i = 1:numOfSamples
if Ys(max_pos(i), i) == 1
numOfCor... |
function t = H(mesh,points,q,xi,eta,Q)
N = max(size(points));
d = min(size(points));
if(d==2)
M = sqrt(max(size(mesh)));
f = zeros(M,M);
for i = 1:N
for ii = 1:M
for iii = 1:M
%for j = -Q/2:Q/2
f(ii,iii) = f(ii,iii) + q(i)*((-2*xi^2)/(pi*... |
%prep zscored traces
for i=1:length(dend)
dend(i).ztrace=zscore(dend(i).normtrace);
dend(i).ztrace_st=dend(i).ztrace(:);
end
filename='p25_mag2_gen_gen_trace';
save(filename,'dend');
%%
%%raw traces for all cells
f=figure (1);
f.Position=[1,1,1000,1000];
axis = (1:180);
n= 8;%number of rows
m= 7;%number of ... |
clear;clc;figure%close all
tic
recdate='Sep_10_13';
cellnum='B';
trial=1;
module='v_clamp_resistance';
% load([module '_' recdate '_' cellnum])
starting_v=-0.07; % Voltages are in volts
first_prestep_v=-0.09;
last_prestep_v=-0.07;
increments=5;
step_v=-0.06;
resistance_v=-0.065;
starting_t=2; % Times are in seconds
p... |
function [params, bins_res, cloud_res] = paralelel_reconstruction(model_cloud, params, params_baund, n_iter, n_neighb, settings)
settings.n_neighb = n_neighb;
results = zeros(n_iter,5);
if strcmp(settings.model, 'CV2DoF')
results = zeros(n_iter,3);
end;
parfor i = 1 : n... |
% Parameters for MRAC
clear
clc
%% Plant
A = [-3.1074 0.9744;0.4501 -4.1003];
B1 = [663.1022;1331.7824];
B2 = [-42.7000;116.5044];
%Bm3 = [-14.2485;-26.8107];
B = [B1,B2];
d = [0.21;0.44];
%% Desired Trejactory
Am = [-3.3808 1.2954;0.4444 -3.0501];
Bm1 = [667.8408;1333.9594];
Bm2 = [-39.2134;117.2730];
%Bm3 = [-14.24... |
function val_ = ddOUn_val(fits, data, param)
% function vals_ = ddOUn_val(fits, data)
%
% Compute the DV given A and lambda (the drift rate and the leak term)
% based on an Ornstein-Uhlenback model. The DV is given by
%
% mu = A*COH./LAMBDA.*(exp(LAMBDA*T-TAU)-1),
%
% , where TAU is the neural delay.
%
%
% INPUTS... |
function [channels, phase_avg, ampl_avg, I, Q, sync] = decodeAvg(filename, singleChannel)
if nargin < 2
singleChannel = 1;
end
if singleChannel:
[I, Q, sync] = decodeSingleChannel(filename);
channels = []; % eventually want to parse the config file to grab this
Fs = 2.4e6;
else
[I, Q, sync] = decodeData(filenam... |
classdef NeuronReader < handle
% A NeuronReader can be used to read neuron files that were generated
% with the NeuronMonitor utility in CARLsim. The user can then directly
% act on the returned neuron data.
%
% To conveniently plot group activity, please refer to NeuronMonitor.
%
% Example ... |
function outflag=inastring(loc,tempstr)
apost=0;
for k=1:loc
if strcmp(tempstr(k),''''), apost=apost+1; end
if ((strcmp(tempstr(k),' '))&(mod(apost,2)==1)), tempstr(k)=','; end
end
outflag=mod(apost,2);
|
function data_save(h,x,t,timeTaken,xN,xL,tL,H1,H2,m2,m3,s1,s2,Q)
filename = data_filename(xN, xL, t, H1, H2, m2, m3, s1, s2, Q);
save(filename, "x", "t", "h", "timeTaken", "xN", "xL", "tL", ...
"H1", "H2", "m2", "m3", "s1", "s2", "Q");
end
|
close all
clear all
gamma = 4;
A_c = 100; % just picked a random number
C = 1; % dont know this shit yet
M = 1:1:10;
A_cm = (A_c .* M.^-(2/gamma));
A_cmtot = A_cm .* M;
figure()
plot(M,A_cm); grid on;
title('A_{cm} [m^2] for a given number of antennas, \gamma=4');
xlabel('M');
ylabel('Area [m^2]');
figure()
plot(M,... |
function [sst,xlons,ylats] = read_goes(fn,varargin)
%
% FILENAME: read_goes.m
%
% USAGE: To run this program, use the following command:
%
% [sst,xlons,ylats] = read_goes(FILENAME)
% or [sst,xlons,ylats] = read_goes(FILENAME,CLOUD CONTAMINATION PERCENTAGE)')
%
% DESCRIPTION: This file contains one (1) Matlab progr... |
function[o]=ObjectiveFunction(x)
%o = sum(x.^2);% OSphere Testfunction
x = x-[-10,-10];
o = sum ( abs(x) ) + prod( abs(x) );
o = o + 100;
%o = sum(x)./(1+sum(x.^2));
end |
%% model parameters
Vst= 0.15; %maximum stomatal conductance cm/s
Vcut=0; %cuticular deposition velocity cm/s
Rm = 0.1; %mesophyllic resistance s/cm
options = [3:3];
%model will run through as many laps as number of factors. Here is where you can ``set the code to loop through different vaiables.
... |
%MÉTODO DE RUNGE-KUTTA-FEHLBERG
% - Introduzca la ecuación diferencial : 'Dy=y-(x^2)+1'
% - Introduzca la condición y(a)=b : 'y(0)=0.5'
% - Introduzca la función de trabajo : y-(x^2)+1
% - Introduzca la condición inicial : 0.5
% - Introduzca el valor de a : 0
% - In... |
function [index_vals,vector_vals,final_node] = kd_closestpointgood(tree,point,node_number)
% pramod vemulapalli 02/08/2010
% isnpired by work done by Andrea Tagliasacchi, simon fraiser university
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% INPUTS
% tree --- the cell array ... |
function ota_sumup(do_plot)
if nargin == 0
do_plot = 0;
end
cd raw
f = fopen('../workspace/input_diff.sp');
if f == -1
fprintf('## Invalid file workspace/input_diff.sp ##');
input_diff_read = NaN;
else
line = fgetl(f);
if ischar(line)
s = regexp(line, '=', 'split');
input_diff_rea... |
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%Main file to test normalization of probabilistic
%inference in a lower dimensional space represented
%by a series of Gaussians.
%An even distribution of Gaussians over -1,1
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%Constants
num_basis = 20; %Number of basis functi... |
function haskinsnirs(ParticipantID,PolhemusStatus,time)
%polhemusstatus - set this as 1 if you want to process polhemus, set as 0
%if you already have a polhemus saved
%time is 1 or 2 or 3 depending on visit
%ParticipantID should be noted in single quotes. eg. '401001'
if time~=1
if exist('/data3/')
pathname = strcat... |
clear all;
close all;
clc;
addpath('../tree_matlab/');
addpath('../export_fig/');
load global_params_incr.mat;
N_T = 3;
room_size = [6;8]; %Breadth x Length
L = room_size(2);
B = room_size(1);
AP_loc = [L/2; B/2];
client_loc(1) = B*rand
client_loc(2) = L*rand
b_R = 2*pi*(20/360);
Nang = 100;
RX_training_cw = NaN(N... |
clear all;
close all;
clc;
addpath('../lib');
addpath('../functions');
r = Rosenbrock();
disp(r.arity());
r.contour([-1,3],[-1,2],@(z) log(1+z), 100 );
axis equal ;
search_method = GoldenSearch();
%search_method = LinesearchArmijo();
gradient_method = MinimizationGradientMethod(search_method,1e-6,10000,true);
... |
% This code constructs a signed distance function from
% the interface defined by {phi0 = 0}.
%
% http://www.math.lsa.umich.edu/~psmereka/LEVELSET/levelsetcodes.html
% Retrieved May 2016
% Modified, May 2016, Kevin Chow
%
% Grid parameters
N=100; h=2/(N-1); x=-1:h:1; y=x; [X,Y]=meshgrid(x);
dt=0.20*h; %tf=0.10; nt... |
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