text stringlengths 8 6.12M |
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function [c, N, A] = RRTstar(start, goal, obstacles, Nmax, FOR_THE_KIDDOS)
clf; hold on;
axis square; rectangle;
plot(start(1), start(2), 'sg')
fill(goal(1,:), goal(2,:), 'g')
mu = 1;
for i = 1:length(obstacles)
fill(obstacles{i}(1,:), obstacles{i}(2,:), 'r')
mu = mu - polyarea(obstacles{i}(1,:), obstacles{i}(... |
%NSCS Long step matlab minimal version
%This path is used to call the linear solver in coneopt
function [xc,xf,y,s,info] = nscs_long_step(problem,x0f,x0c,pars)
%Problem must contain the fields
%m
%n_free
%n_pos
%n_soc_cones
%soc_cones[]
%n_sdp_cones
%sdp_cones[]
%n_exp_cones
... |
function R = normalize(A,m)
M = repmat(m,size(A,1),1);
R = A - M;
end |
%% Nozzle Design for Liquid Fueled Rocket
clear;clc;
F = 10; % desired thrust
Isp = 244; % specific Impulse
Pc = 200; % chamber pressure in PSI (desired)
r = 1; % Fuel/oxygen mixture ratio
wt = F/Isp; % fuel flow
wo = wt*r/(r+1); % flow rate of the oxydizer
wf = wt*r/(r+1); % flow rate of the fuel
% P... |
function dist=contrib2dist(f_matstab,eq,var);
% dist=contrib2dist(f_matstab,eq,var);
%
% Philipp Haenggi
load(f_matstab,'geom','stab','termo','A0','AIm','B');
global geom stab
kan=geom.kan;
kmax=geom.kmax;
nvt = geom.nvt;
nvn = geom.nvn;
dc = length(get_dcnodes);
lp = length([get_lp1nodes get_lp2nodes]);
core= ... |
% A=eye(5);
% t=[0:0.1:1];
% y=sin(t);
% figure(1);
% plot(t,y);
% disp(A);
% figure(2);
% imagesc(A),colorbar,colormap gray;
A=zeros(10,1);
% for i = 1:10
% A(i)=2^i;
% if i==6
% break;
% end;
% end;
% i=1;
% while true
% A(i)=999;
% i=i+1;
% if i==6
% break;
% end;
% end;
%... |
% shows one (resulting) image
% with dots, represanting maches for the particular transformation
% with arrows, representin unmaches and the differenses for them
% optionalRadius is the accuracy for maches
%
% default:
% optionalRadius = 5
function showImageWithTransformation( im1, im2, trans, table, optionalAccura... |
function t_ibs = random_ibs(input, scale)
sz = size(input);
if( isempty(scale) )
scale = 0.2;
end
t_ibs = double(input) + 1 * scale * (rand(sz(1), sz(2))-0.5);
end |
function [index] = feature_eval(X,Y)
fprintf('======================================================\n');
fprintf('Running feature evaluation \n\n');
% separate negative and positive cases x1 as diabetic and x2 non-diabetic
index_t = find(Y==1); index_f = find(Y==0);
x1 = X(index_t,:); x2 = X(index_f,:);
%% ==== his... |
clear all,close all
%构造原始图像
img=zeros(512,512); % 512 x 512 黑色
img(136:376,246:266) = 1; % 16 x 240 白色
figure(1)
%% 原始状态
subplot(2,4,1);imshow(img); title('原图像');
%========================================================================
%原始图像的傅里叶频谱
F1=fftshift(abs(fft2(img)));
% fft2(): 二维傅里叶变换，结果为复数类型
% abs... |
% plot fuer hm2 aufgabe 21
f = @(x,y) e.^(x-y) .* (x.^3 ./ 3 - y);
x = linspace(-3, 3, 601);
y = linspace(-3, 3, 601);
[xx, yy] = meshgrid(x,y);
zz = f(xx,yy);
surf(xx,yy,zz)
|
X = [0.25,0.5,0.75,1,1.25,1.5,1.75,2,2.25,2.5];
Y = [1.284,1.648,2.117,2.718,3.427,2.798,3.534,4.456,5.465,5.894];
Matrix = [];
for j = 1:length(X)
Matrix = [Matrix,[sin(X(j));cos(X(j))]];
end
Result = inv(Matrix * Matrix') * (Matrix * Y');
fprintf("a = %.15f,b = %.15f\n",Result(1),Result(2));
Distance = 0;
for j =... |
classdef Color
%Color
enumeration
Cyan([0,255,255]),
Rouge([255,0,0]),
Vert([0,255,0]),
Jaune([255,255,0]),
Bleu([0,0,255]),
Magenta([255,0,255]),
Blanc([255,255,255])
end
properties
R,
G,
B
end
methods
... |
%% We will use minFunc for this exercise, but you can use your
% own optimizer of choice
clear all
close all
addpath(genpath('../common/')) % path to minfunc
%% These parameters should give you sane results. We recommend experimenting
% with these values after you have a working solution.
global params;
params.m = 100... |
% Plots the motor data
% Copyright 2006-2009 The MathWorks, Inc.
figure('windowstyle', 'docked')
plot(rpm,bench,'.-b','MarkerSize',15);hold on
line(rpm,expmodel,'color','g','LineWidth',2);
plot(rpm,lowerbound,':r'); plot(rpm,upperbound,':r');
legend('Benchmark motor data','Exponential fit',...
'95% confidenc... |
function [GR, ScopeTypeCell] = apex_waveforms_setup(ScopeType)
%APEX_WAVEFORM_SETUP - Setup function for Ztec scopes and other waveforms
%
% Note
% 1. Max Sample Rates - 500 MHz for the ZT4210 series
% 400 MHz for the ZT4440 series
ScopeTypeCell = {
'Photo Diode'
% 'Ztec Scope #1'
% 'Z... |
function A = genDcube( d, figID)
%
% A = genDcube( d, figID) ; % d >= 1
%
% generate the adjacency matrix A for the d-dimensional
% hypercube.
%
% when nargin > 1, display the generation process
%
% ---------------------------------------------------
% Xiaobai Sun
% Duke CS
% For Numerical Analysis Class
... |
function px_output(ModeName)
N = px_varname(ModeName);
function [strname] = px_varname(varname)
strname = input(varname,'s');
strname = varname;
strname = who; |
function varargout = edgesEval( model, varargin )
% Run and evaluate structured edge detector on BSDS500.
%
% This function first runs the trained structured edge detector on every
% test or validation image in BSDS then call edgesEvalDir.m to perform the
% actual edge evaluation. edgesEval is specific to the structure... |
function v=getVertex3D(face,i)
% Return vertex i from face.
v=face((i-1)*3+1:(i-1)*3+3); |
function subGs=AllSubGames(v)
% ALLSUBGAMES computes all subgames of the TU-game v.
%
%
% Usage: subGs=AllSubGames(v)
% Define variables:
% output:
% subGs -- The corresponding sub-game of v on S.
%
% input:
% v -- A Tu-Game v of length 2^n-1.
% S -- A coalition/set identified by its unique in... |
close all
DL_prediction;
uas_ShiTS_x_48A08AD_prediction;
uasKir_DL_x_48A08AD_prediction;
labelSize = .05;
noiseSize = .05;
f1 = figure('Color', 'w', 'units', 'normalized', 'position', [.2 .2 .4 .6])
plot([0 1], [0 1], 'k')
hold on
%% DL
for aa = 1:size(DL_prediction,1)
noiseTerm = noiseSize*randn(1);
... |
function [ m ] = multi_lags(matrix, lags)
% lags is array of different lags for each matrix column
m = zeros(size(matrix));
for ii=1:length(lags)
m(:,ii) = lagmatrix(matrix(:,ii),lags(ii));
end
end
|
%%
%% Copyright (c) 2021, Bradley A. Minch
%% All rights reserved.
%%
%% Redistribution and use in source and binary forms, with or without
%% modification, are permitted provided that the following conditions are met:
%%
%% 1. Redistributions of source code must retain the above copyright
%% noti... |
function [LRcomp, DUcomp] = RGBcompatibility(patches)
sigmaSq = 0.2;
s=size(patches);
LRcomp = zeros(s(1),s(1));
DUcomp = zeros(s(1),s(1));
for i=1:s(1),
for j=1:s(1),
DUcomp(i,j) = sum(sum((patches(i,1,:,:) - patches(j,s(2),:,:)).^2./sigmaSq)); %compatibility of patch i to be at the left of patch j
... |
function X = Nonlinear_Triangulation(K, C1, R1, C2, R2, C3, R3, x1, x2, x3, X0)
%% Nonlinear_Triangulation
% Refining the poses of the cameras to get a better estimate of the points
% 3D position
% Inputs:
% K - size (3 x 3) camera calibration (intrinsics) matrix
% x
% Outputs:
% X - size (N x 3) matrix o... |
function [K, R, t, error] = runGoldStandard(xy, XYZ, IMG_NAME)
normalize = 1;
if normalize
disp("Run with NORMALIZED data.")
%normalize data points
[xy_normalized, XYZ_normalized, T, U] = normalization(xy, XYZ);
xy = vertcat(xy, ones(1, size(xy,2)));
XYZ = vertcat(XYZ, ones(1, size(XYZ,2)));
%... |
%% Section 3
%Data management
CD = readmatrix('car_data.xls');
%Formats command window to more readable numbers
format long g
%Deletes column 9, all values are missing
CD(:,9) = [];
%Creates new matrix without any missing values
% CD=CD(~any(ismissing(CD),2),:); <-alternative
CD = Deletion(CD);
%% Tr... |
function neuron_rate_plot(R, pop_ind, neuron_ind, seg, seg_size)
sigma_gaussian = 50; % ms, which is width???
% Input check and default values
if nargin < 5
seg_size = 4*10^4; % 2*10^4 for 2-pop, segmentation size for each plot
end
if nargin < 4
seg = 1;
end
% Dump fields
dt = R.dt;
step_tot = R.step_tot;
... |
function [y,x,n,T,num_regress]=set_y_and_x(datay,datax,nlags,constant)
% H1 line
%
% Syntax
% -------
% ::
%
% Inputs
% -------
%
% Outputs
% --------
%
% More About
% ------------
%
% Examples
% ---------
%
% See also:
[n,smpl]=size(datay);
if (~all(isfinite(datay(:)))) ||...
(~isempty(datax) && ~all(isfini... |
%----------------------------------------
%此程序用以仿真导弹导引系统
%作者： Jiangfeng
%日期： 2011.4.11
%----------------------------------------
function [q]=guidance(sitemandt)
sitet=sitemandt(1:3);
sitem=sitemandt(4:6);
xm=sitem(1);ym=sitem(2);zm=sitem(3);
xt=sitet(1);yt=sitet(2);zt=sitet(3);
qtheta=(yt-ym)/sqrt((xt-xm)^2+(zt-zm)^2... |
function addVertices(scale)
%ADDVERTICES - Add SAF vertices to the current plot
%
% ejovo.saf.addVertices(SCALE) adds SAF vertices to the current plot whose outer
% most radius is SCALE.
%
% See also rot2saf, rot2vdb, plotSAF
%
function [u, v, w] = loadVertices()
parent = ejovo.fn.getParentDir;
... |
clear all
m = [];
error = [];
% Adaptive Markov Chain Monte Carlo: Theory and Method Atchad
% An Adaptive Metropolis Algorit Haario
%% dt = C dx
% Lax-Wendroff (temporal_error_LaxWendoff_dx.txt)
nts( 1 ) = 2048 ; error( 1 ) = 2.3354105808755108E-002
nts( 2 ) = 4096 ; err... |
%BCSBACKTEST2 BlueChipStock backtest analysis
addpath ./source
load BlueChipBacktest0
load BlueChipBacktest
RefIndex = 45;
% no adjustment
[NumMonths, NumAssets] = size(RetHistory0);
NumStocks = NumAssets - 3;
NumPortfolios = 40;
Periodicity = 12;
NumPeriods = floor(NumMonths/Periodicity);
StartI... |
function [] =combine_output_eq(ID,type_sim)
global par maps dim qom const
%combine_input_files Function that files from processors in equilibrium.
% Combines files written by
format compact
%% Looking for files
if nargin==0
ID='1915611';
type_sim='prec';
elseif nargin==1
type_sim='full';
end
evaluate_... |
clear; clc; close all;
addpath(genpath('meanShift'));
datapath = 'flo'; %flo文件目录
filenms = dir(fullfile(datapath,'*.flo')); %读取目录下所有flo文件的文件名
% for i = 1:length(filenms) %对所有文件进行处理
for i = 1:5 %对前2个文件进行处理
file = fullfile(da... |
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% 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#... |
function [mod, bit, sym] = createdemodulator(Ns,M)
%CREATEMODULATOR(Ns,M)
% Ns = no. symbols
% M = no. symbols in constellation
B = log2(M);
bit = Bit(1,Ns*B);
sym = Discrete(0:M-1,1,Ns);
mod = FactorGraph(bit,sym);
for i=1:Ns
mod.addFactor(@fn_demod,bit(B*(i-1)+1:B*i),sym(i));
end |
function imgt = thres(imgmag, hthres)
[imax, jmax] = size(imgmag);
imgt = imgmag;
for i=1:imax
for j=1:jmax
if imgmag(i, j) < hthres
imgt(i, j) = 0;
else
imgt(i, j) = 1;
end
end
end |
close all hidden;
clear all hidden;
clc;
cd('E:\DATA\Test\Lateralization');
fname = 'temporaldata';
load(fname);
%% Mean over subjects & conditions
a = M.matrix;
mf = M.modulation;
MF = squeeze(mf(1,:,1));
mu = mean(squeeze(mean(a)),2);
nsubjects = size(a,3);
ncond = size(a,1);
nf = size(a,2);... |
%% Histograma/Probabilidade da diferen?a entre os finais das tramas dos utilizadores licenciados PU1 e PU2, em "single frame"
clear all;
close all;
%% SU 1
T_PU_ON_1 = 1e5; % # tramas PU 1
T_PU_1 = T_PU_ON_1*2;
mu_on_1 = 5; % tempo medio ON PU 1
mu_off_1 = 5;... |
% Parameter Estimation and Inverse Problems, 3rd edition, 2018
% by R. Aster, B. Borchers, C. Thurber
%
% return l curve parameters and models for truncated gsvd regularization
%
% [rho,eta,reg_param,m] = l_curve_tikh2(U,d,X,Lam,Mu,G,L,npoints,[alpha_min, alpha_max])
%
% U, X, Lam, Mu are obtained from the gsvd of the ... |
function [gmm, A] = getSiftGMM(siftTrainData,kd,nc)
load = pca(cast(siftTrainData,'single'));
A = load(:,1:kd);
lowDdata = cast(siftTrainData,'single')*A;
[gmm.m, gmm.s, gmm.p] = vl_gmm(lowDdata', nc);
end
|
function [success] = submit(filename, TSName)
success = false;
if ~exist('filename', 'var')
disp('Please specify a file for uploading!');
return;
end
if numel(filename) >= 2
if ~strcmp(filename(end-1:end),'.m')
filename = [filename '.m'];
end
end
if ~exist(filename, 'file')
... |
%%
% implementation of the path planning algorithm RRT* with obstacles on a 2D grid
% parameter varation: stepsize, y_RRT, w_1, w_2
% Johann Diep, 6 May 2016, Focusproject Scubo
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%... |
figure
boxplot([new11',new6',new1',new12',new7',new2',new13',new8',new3',new14',new9',new4',new15',new10',new5'],...
'labels',{'S 1','S 2','S 3','S 4','S 5','S 1','S 2',...
'S 3','S 4','S 5','S 1','S 2','S 3','S 4','S 5'},'OutlierSize',1)
% boxplot([new11,new6,new1,new12,new7,new2,new13,new8,new3,new14,ne... |
function defaultFigLayout(hFig, cbNew, cbOpen, fhExport, editCallbacks)
% Add menus and toolbars for standard SPARTAN figures.
%
% defaultFigLayout(FIG) modifies the appearance of the figure FIG to match
% the style of typical SPARTAN functions. Some rarely used menus and toolbar
% buttons are removed.
%
% defa... |
function images = load_images(str)
% str: string of the foldername containing images
% images: all images
% - height x width x rgb x num_images
%
% TASKS: - remove MAX_NUM_IMAGES to make code robust
%
MAX_NUM_IMAGES = 100;
cd(str);
for i=1:MAX_NUM_IMAGES
file = sprin... |
% demonstrate reading data from a file using textscan (pg 338)
fid1=fopen('data1.txt','r');
b=textscan(fid1,'%1d');
b{:}
fclose(fid1);
|
function dec_encipheredText = caesarCipher( inText, cipherMode )
%CAESARCIPHER Summary of this function goes here
% Detailed explanation goes here
cipherModeChoices = {'ENC', 'DEC'};
caesarShiftDefault = 3;
whiteSpaceValue = 32;
offsetAsciiCharValue = 65;
charContents = upper(inText); % with whitespace
charCo... |
function exitcode = merge(self, clustIds, varargin)
% Merge the specified clusters into a single cluster
% exitcode = merge(self, clustIds, ...)
%
% Returns:
% exitcode Numeric code indicating the outcome of this procedure:
% 0: Completed successfully (only possible outcome)
% Required a... |
%% Code for running STAS methodology for the paper in JMS
%% Copyright 2019 <Authors>
% Permission is hereby granted, free of charge, to any person obtaining a
% copy of this software and associated documentation files (the "Software"),
% to deal in the Software without restriction, including without limitation
% t... |
%
% Copyright (c) 2015, Yarpiz (www.yarpiz.com)
% All rights reserved. Please read the "license.txt" for license terms.
%
% Project Code: YPEA124
% Project Title: Implementation of MOEA/D
% Muti-Objective Evolutionary Algorithm based on Decomposition
% Publisher: Yarpiz (www.yarpiz.com)
%
% Developer: S. Most... |
clear
% mb = load('~/Modeling/modeling_results/2019-04-13_synaptic_depression_param_workspace/2019-04-13_synaptic_dep_batch_workspace.mat');
mb = load('/n/scratch2/anb12/modeling_results/2019-04-24_unnormalized_synaptic_depression_param_workspace.mat');
param = mb.param;
paramD = mb.paramD;
nModels = mb.nModels;
saveDi... |
function ynew=adsmoothdiff(dados,xnew,sdx,isdx,q,nmin)
%
% function ynew=adsmoothdiff(dados,xnew,sdx,isdx,q,nmin)
% written by Carlos J Dias
%
% ADAPTIVE DEGREE SAVISTZKY-GOLAY SMOOTHING AND DIFFERENTIATION
% This function smooths and differentiates a sequence of numbers based on
% an algorithm drawn on the idea... |
function [output] = list_folder()
% Function that generates a list of the existing folders in a directory.
files=dir;
n=1;
for m=1:length(files)
if files(m).isdir==1
output(n)=files(m);
n=n+1;
end
end
end
|
function fnval = exp_Cproc(coefs,bvals,pars,more)
devals = exp(bvals.bvals * coefs);
ddevals = (bvals.dbvals * coefs)*devals;
% colnames(devals) = more.names;
% colnames(ddevals) = more.names;
% names(pars) = more.parnames;
f = more.fn(ddevals,more.qpts,devals,pars,more.more);
fnval = sum(f);
end
|
function options = hampathset(varargin)
% hampathset -- Sets options for hampath packages.
%
% Usage
% options = hampathset(name1, value1, ...)
%
% Or
% options = hampathset(oldopts, name1, value1,...)
% creates a copy of oldopts with the named parameters altered
% with the specified values.
%
% Inputs
% name1 ... |
% function digCode(codes)
%
% outputs digital codes to the bytes FIRSTPORTA and FIRSTPORTB, sending
% sync pulses to the first bit of FIRSTPORTC. Can send a vector of doubles
% or characters.
%
% recompile with this command:
% mex digCode.c cbw32.lib |
% A quick alternative to MATLAB's randperm
function p = randpermquick(n)
p = 1:n;
r = rand(1, n);
randpermquick_helper(p, r);
end |
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% 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#... |
%% quanitfy_global_spectra_20180121
% file created by Mehrdad Pourfathi on 2/18/2016
%
% update(1) on 9/7/2016 by MP to include transplant data
%
% update(2) on 9/13/2016 by MP to use steve's fits for ratio measurements
% and saves individual ones.
%
% update(3) on 9/14/2016 by MP now has the option to do the voxel se... |
function results = gab_task_fmri_make_con(args)
if ~iscell(args.spmmat)
args.spmmat={args.spmmat};
end
if ~isfield(args,'delete')||isempty(args.delete);
args.delete=1;
end
if ~iscell(args.conName)
args.conName={args.conName};
end
if ~iscell(args.convec)
args.convec={args.convec};
end
if ~isfield(args,'... |
function [aa,bb] = split_consecutive(a)
% a is a vector of integer indeces, and we find consecutive parts
% this is harder than it looks for some reason...
%
%
%
%
% s = find(diff(a)~=1);
% %s = [0;s];
% if ~isempty(s)
% aa = cell(1,length(s));
% bb = [];
% aa{1} = 1:s(1);
% s = [s;length(a)];
%... |
function show_results(RT, y_KN, y_CN, titel, saim_type, plot_flag)
set_plot_default;
iptsetpref('ImshowBorder', 'tight')
iptsetpref('ImshowAxesVisible','on')
hf = figure;
set(hf, 'position', [1 1 770 450]);
if plot_flag == 0
ax = subplot_tight(2,6,1); axis([0 1 0 1]);
text(0.1,0.5, [... |
function [norm_file_tt, norm_file_tr] = pattern_softmax_norm_cvip(file_tt, file_tr, file_out, r, count)
% PATTERN_SOFTMAX_NORM_CVIP - two csv files are input, training and test
% sets, and returns new csv files with the feature vectors normalized with
% softmax scaling normalization
%
% Syntax :
% -------
% [... |
function RS_POS = GEN_RS_POS(PCI,RBs,TxAnt)
RS_POS = zeros(1,RBs * 2);
vp0 = 0;
vp1 = 3;
v_shift = mod(PCI,6);
rs_shift0 = mod((vp0 + v_shift),6);
rs_shift1 = mod((vp1 + v_shift),6);
rs_pos_0 = rs_shift0:6:(RBs * 12 - 1);
rs_pos_1 = rs_shift1:6:(RBs * 12 - 1);
... |
function [x] = myfunc(a)
x = plot(a);
%KASS KOD
color = 'none';
if (max(a)-min(a)) >= 0.05
color = 'red';
text(100, mean(a), 'Subject is moving, waiting for stabilizing', 'Color', color, 'Fontsize', 32);
title('Plot av "Spine"-djup')
xlabel('Tid/"frames"'), ylabel('Djupvärden [m]');
meanvalue = mean(a);
ylim([min(... |
% lisalOptions is a structure with fields { 'm1', 'm2', 'c', 'infCriterion'
% , 'isExli', 'exliRatio' }
%
% m1 - number of latent locations learned in the preliminary selection
% under LISAL by maximizing information on real dynamics instead of latent
% dynamics.
%
% m2- number of latent locations learned in ... |
function [mu, sig] = EKF_est(I, Model, c_sun, dt, t)
%function outputs estimatations of state and covariance matrix at each
%point in time. Inputs are the model values and the sun unit vector
%measurments. Angular velocities are assumed to come directly from the
%model.
%moments of intertia
I = diag(I);
Ix = I(1);
Iy... |
% characterize Characterize measurement region.
%
% This method characterizes a time-frequency region in a PDV measurement.
% object=characterize(object,mode);
% Several characterization modes are supported:
% -'reference' determines the reference frequency.
% -'noise' determines the noise amplitude (and spect... |
function P = demo_generalizedRieszTransformLearning(A, numScales, order, steeringType, equalizationType, equiAngular, showFilters)
%DEMO_GENERALIZEDRIESZTRANSFORMLEARNING learn a generalized Riesz-wavelet
%frame using principal component analysis
%
% P = DEMO_GENERALIZEDRIESZTRANSFORMLEARNING()
% Learn a generalized R... |
function [ke] = elemstiff(node,x,y,gauss,lambda,mu,e)
% 2d QUAD element stiffness routine
ke = zeros(8,8);
one = ones(1,4);
psiJ = [-1, +1, +1, -1]; etaJ = [-1, -1, +1, +1];
% plane stress D matrix
young = mu(e)*(3*lambda(e)+2*mu(e))/(lambda(e)+mu(e));
pr = lambda(e)/2/(lambda(e)+mu(e));
fac = young/(1 - ... |
%% a) Correr simulador1 10 vezes com critério de paragem P=10000
P = 10000;
l = 1800;
C = 10;
f = 1000000;
%Number of simulations
N = 10;
PL = zeros(1, N);
APD = zeros(1, N);
MPD = zeros(1, N);
TT = zeros(1, N);
for i = 1:N
[PL(i), APD(i), MPD(i), TT(i)] = Simulator1(l,C,f,P);
end
alfa = 0.1;
... |
function myPipe = block_split_pipeline(varargin)
% BLOCK_SPLIT_FILES - Splits raw data files into single 30 min block files
%
% See also: btmn.pipes
import meegpipe.*;
import physioset.*;
nodeList = {};
%% NODE: import from .mff file.
myImporter = physioset.import.mff('Precision', 'single');
myNode = meegpipe.node.p... |
% ----------------------------------------------------
%% Route Planner
% ----------------------------------------------------
% ----------------------
% initial and final conditions
% ----------------------
x0 = initPose(1); % [m]
y0 = initPose(2); % [m]
theta0 = initPose(3); % [rad]
startPose = [x0, y0... |
% This script demonstrates how to use the code provided in this project to
% stabilize a Kalman Filter.
%
% This script will reproduce results of a single-day closed-loop
% experiment, as described in the original paper.
%
% Note: The code below assumes you are in the main project directory (the
% directory containi... |
data = readSalesFigures();
[datesPeriods, salesPeriods, tempPeriods] = preprocessData(data, data.Bread);
periodSlopes = [];
##plot(data.Days, data.Salad, "*");
##hold on;
for periodIndex = 1:size(datesPeriods, 1)
datesPeriod = datesPeriods(periodIndex, :);
salesPeriod = salesPeriods(periodIndex, :);
... |
function writeStructArrayToCSV(fname, S)
fid = fopen(fname, 'w');
if fid == -1
error('Could not open %s for writing', fname);
end
fields = fieldnames(S);
nFields = length(fields);
nEntries = length(S);
% write fieldnames
for iF = 1:nFields
fprintf(fid, '%s', escapeValue(fields{iF}));
fprintf(fid, ',');
... |
close all
clc
warning off
%% load single files
dataPath = '..\Signal\M3C\';
files = dir(fullfile(dataPath,'*.mat'));
for loop=1:length(files)
y = importdata(strcat(dataPath, files(loop).name));
avg =mean(y,2);
y = avg;
figure;
plot(y);
waitforbuttonpress;
end
|
clear all; close all;
dataset = 'VOC2012';
%copy berkeley annotations
orig_folder = '../Berkeley_annot/dataset/cls';
save_folder = ['../', dataset, '/SegmentationClassAug_Visualization'];
if ~exist(save_folder, 'dir')
mkdir(save_folder)
end
tmp = load('pascal_seg_colormap.mat');
colormap = tmp.colormap;
annots... |
original = imread('crayons.jpg');
mosaic = imread('crayons_mosaic.bmp');
reconstructed = demosaic(mosaic);
imshow(reconstructed);
error = (reconstructed - original).^2;
error = sum(error, 3);
figure;
imshow(error, [min(error(:)) max(error(:))]);
avg_per_pixel_sse = mean(error(:))
max_per_pixel_sse = max(error(:)) |
function [prec]= get_precision(Yte , Yval)
% USAGE function [prec_disc, prec_rej]= get_precision(vect_ytest,mat_ypred_val)
%
% vect_ytest est un vecteur donnant le label de chaque individu
% mat_ypred_val est la matrice donnant la confiance de l'appartenantce de chaque individu dans chaque classe
if iscell(Yte)
pr... |
% Function to open the large text file of year long data and divide into
% small text files of one year (technically 8months)
% INPUTS:
% textfile = text file name (massive file of all data per station for year)
% must be a string, can be .dat file
% month = desired month
% day = desired day
% year = desired... |
%% OM
%%
cur_dir = pwd;
temp_list = dir;
for i=1:length(temp_list)
if isfolder(temp_list(i).name)
course_name=temp_list(i).name;
end
end
course_dir = fullfile(cur_dir, course_name);
cells_dir = fullfile(cur_dir, sprintf('cells_%s', course_name));
if exist(cells_dir, 'dir')
delete(sprintf('%s\... |
function[BestFirstMeans,WorstFirstMeans,BestSecondMeans,WorstSecondMeans,AllMeans,...
AllNormality,BestNormality,WorstNormality,AllGroups,BestGroups,...
WorstGroups,BestWorstDiff,FirstDiff,SecondDiff,FirstSecondDiff,...
EleRecognitionMeans,EleRecog]=CompileLocalisationMeans(iccData,source)
%COMPIILELocalisa... |
function [eta_1d, eta_alt, eta, Ee, Ie, Ic, Jd, Je, Jc, res_norm, grad_phi, phi_last, f_new, phi_lap] = ...
EHDsolverf(p,e,t,r_e,r_c,d,kV,U,meshdomain,rho0,max_iter,first_it,phi,Sext,pbdry)
%% declare global variables
global do_flow plot_debug no_flux
%% set other parameters
mu = 2*10^-4;
epsi = 8.85418... |
%% Parameters
inputFilename = '20170303-115128-001.ns5';
inputFilepath = 'C:\Users\deudon\Desktop\SpikeSorting\_Data\CP15-Screening_20170303-115128';
resultsDirOri = 'C:\Users\deudon\Desktop\SpikeSorting\_Results\NoiseEstimation';
frameDuration = 60; % Sec
overlap = 80; % Percent
fMinHz ... |
function Out = close_jh_scrapers(Command)
%
%
% See also open_jh_scrapers
if nargin < 1
Command = 'Set';
end
% Note: use EPICS NoWaitFlag=1
% setpvonline(ChannelNames, NewSP, 'double', NoWaitFlag)
Top = getproductionlattice('TOPSCRAPER');
Top = Top.Setpoint;
ChannelNames = family2channel(Top.FamilyName, Top.Fie... |
% Andrew Brown Lab 3 Problem 2
clc
clear
clf
%How to save values you calculate in your for loops so you can plot them
%later
%Define given variables
totalSum=0;
n=10;
saveSums=zeros(1,length(n));
saveDays=zeros(1,length(n));
%For loop counting from 1 to 10 going up
for k=1:n
if k==1 %use proper grammar for the ... |
function [t,p]=solve_advDif(p, A1, A2, A12, t, ch, scheme)
H = size(p,1); W = size(p, 2);
dt = t(2)-t(1);
tic()
p_ch = reshape(p(:,:,ch)', H*W, 1);
%ADI scheme
assert(strcmp(scheme, 'ADI')||strcmp(scheme, 'OS'));
if(strcmp(scheme, 'ADI')) % Second-order accurate scheme (not suitable for problems with A12(mixed d... |
cd /home/caromk/simdata/rand_med1/
filename = 'rand_med1M';
load(filename);
addpath('~/neuranalysis/SpikeSort/')
addpath('~/neuranalysis/Opt/')
addpath('~/neuranalysis/SimTraces/SortEval/')
for count = [50 1700:100:2000 123 100:100:400]
CT = subsetT(CT,1:count);
save('-v7.3',sprintf('%s_%d.mat',filename,coun... |
% clear
% close all
load('figures/PSD_64QAM_M1024_m2.mat');%, 'psdCos', 'psdOFDM', 'fOFDM', 'fCos')
%fbmc
load('figures/PSD_FBMC_M1024.mat')%, 'fFBMC', 'sumFBMCSpec')
% hFig1 = figure('Position', figposition([46 15 30 30]));
figure;
plot(fOFDM,pow2db(psdOFDM),'linewidth',2);
hold on
plot(fCos,pow2db(psdCos),'linew... |
function func_grid_generator()
% This routine generates the grid of points needed to compute any Safe Set
% or Asymptotic Safe Set for a flow. It needs to be given the following
% paramenters to work properly:
%
% xi,yi,xf,yf: the corners of the square where we want to find the safe set.
% N: t... |
clear all; close all
Italy_Infected_All =[];
Italy_Recovered_All = [];
Italy_Dead_All = [];
str1 = "Italy"
str2 = "Italy"
str3 = "Italy"
for i = 27:29
fname = strcat ( '02-', num2str(i), '-2020.csv' );
P = readtable(fname);
A = P.Country_Region;
Array = strings(1, length(A));
for j = 1:length(A)
Arr... |
function [ next_row, next_col ] = next_state_Q3( curr_row, curr_col, action )
%UNTITLED5 Summary of this function goes here
% Detailed explanation goes here
deltaY = action(1); %change in x direction = change in column number
deltaX = action(2); %change in y direction = change in row number
next_row = max(curr_row... |
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% Trim the aircraft %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
flight_data
V_trim = 125;
alt0 = 1000;
alpha_0 = 1*pi/180; % this is an estimate, but it's not used
beta_0 = 10*pi/180;
gamma = 0*pi/180;
phi_0 = 0/180*pi;
de = 0;
da = 0;
dr = 0;
dp = 0;
[X0,de,dp,dr,da] = aero4500_... |
clear all
N=20;
xmax = 2;
x = linspace(-xmax,xmax,N);
y = 10.^x;
z = 1-0.9*exp(-sqrt(y));
errz = abs(randn(1,N)).*0.8.*z;
dlmwrite('tmp.dat',[y',z',errz']," ")
|
function varargout = MRERECONSTRUCT(varargin)
% CAT_MRI_AXES2 M-file for CAT_MRI_AXES2.fig
% CAT_MRI_AXES2, by itself, creates a new CAT_MRI_AXES2 or raises the existing
% singleton*.
%
% H = CAT_MRI_AXES2 returns the handle to a new CAT_MRI_AXES2 or the handle to
% the existing singleton*.
%
% ... |
function vic(inputFile)
%% =======================================================================%
% Preamble
% ========================================================================%
close all;
fclose all;
clc;
profile off;
diary off;
% Add paths to the source code
if ~isdeployed
% add folder to ... |
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