text stringlengths 8 6.12M |
|---|
total_days = size(W_feeder,3);
for day=1:total_days
day
display_feeder_network(W_feeder(:,:,day),X_feeder_number_of_visitors(:,day),LOCATIONS)
title(strcat('day:',num2str(day)));
pause(.15);
%FRAMES(day)=getframe;
end |
function write_instructions()
screen1_file;
screen2_file;
screen3_file;
screen4_file;
screen5_file;
save([pwd(),filesep,'data',filesep,'texts',filesep,'text_welcome.mat']);
end |
%% YPOLOGISTIKH NOHMOSUNH 2021 PTUXIAKH EXETASTIKH
%% NIKOLAOS ISTATIADIS AEM:9175
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% CROSS VALIDATION
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% DATASETS
function [Dtrn_Cross , Dval_Cross] = cross_Validation(Dtrn,characteristics,Index_F,i)
... |
a=0.02;
e=0.04;
b=0.5;
g=1;
d=0;
dt=0.001;
t=1:500/dt;
lt=length(t);
ltI=10; %duration of pulse
v=zeros(1,lt);
w=zeros(1,lt);
for t=1:ltI;
v(t+1)=v(t)+dt*(-w(t)-v(t).*(v(t)-a).*(v(t)-1)+20);
w(t+1)=w(t)+dt*e*(b*v(t)-g*w(t)-d);
end
for t=ltI:lt;
v(t+1)=v(t)+dt*(-w(t)-v(t).*(v(t)-a).*(v(t)-1));
w(t+... |
function [new_cluster,centers] = clustering(toBeClustered)
%toBeClustered = relative_ac;
[cluster , centers ] = kmeans(toBeClustered,3);
[~, indice_max ] = max(centers);
[~, indice_min] = min(centers);
indice_remain = setdiff(1:3,[indice_min,indice_max]);
new_cluster = zeros(length(toBeClustered),1);
new_cluster(... |
close all;
clear all;
clc;
%select the correct path: it will open the images' folder
path = '~/Desktop/';
%allows the user to select the first image to analyze
[FileName,PathName] = uigetfile('*.TIF','Select the first image',path);
img1 = sprintf('%s%s',path,FileName);
%allows the user to select the secon... |
function betaandsmectite()
set(0,'defaultLineLineWidth',3)
set(0,'DefaultAxesFontSize',15);
%load 'thermal_history_wells.mat'
kb_ST168=130; wd_ST168=70;
lat_ST168=28.57276479;
bht_depths=[17060;17552;19361];
bht_depths=[0;bht_depths-(wd_ST168+kb_ST168)];
Tswi_ST168=tswi_calc(lat_ST168,wd_ST168);
bht_ST168=[265;280;30... |
function [elog gradMuq, gradSigmaq] = opperElogGaussFullQuad( y, fwdFunc, ...
muq, Sigmaq, diagSigmay, S )
%OPPERELOGGAUSSFULLQUAD Elog for Opper's method using quadrature
% Detailed explanation goes here
% S argument is irrelevant here but we need it for consistency with
% o... |
function uq_SVR_print(SVRModel, outArray, varargin)
%% Consistency checks and command line parsing
if ~SVRModel.Internal.Runtime.isCalculated
fprintf('SVR object %s is not yet calculated!\nGiven Configuration Options:', SVRModel.Name);
SVRModel.Options
return;
end
if ~exist('outArray', 'var') || isempty(ou... |
figdir = './figs/';
%% Compact Configuration
sp.fov = 29.0;
sp.win_d = 0.72;
sp.dk_off = [0., 0.9271];
sp.el_off = [0., 2.3];
sp.az_off = [0., 0.];
sp.min_el = 50.0;
sp.n_rx = 3;
%sp.gs_dim = [0,0];
scoop_h = 0:0.01:3;
fb_h = [1.75, 2.5, 3.5];
gs_r = nan(length(fb_h), length(scoop_h));
gs_h = nan(length(fb_h), lengt... |
function res = eval_this()
global params AE
mapping = java.util.HashMap;
theorbits = cell(params.orbit_list);
theinstruments = cell(params.instrument_list);
for o = 1:params.norb
orb = theorbits{o};
valid = false;
while(~valid)
tmp = input(['Payload in orb ' orb '... |
function str = Int2UCText(Vec)
% str = Int2UCText (Vec)
% Input: Vec = a vector of nonnegative integers in the range
% (0, 1, ..., 25)
% Output: str = a string of corresponding Upper-Case text (alphabet: A, B, ..., Z):
% 0 -> A, 1 -> B, ..., 25 -> Z
if max((Vec < 0) | (Vec > 25)) > 0
e... |
function [J, grad] = linearRegCostFunction(X, y, theta, lambda)
%LINEARREGCOSTFUNCTION Compute cost and gradient for regularized linear
%regression with multiple variables
% [J, grad] = LINEARREGCOSTFUNCTION(X, y, theta, lambda) computes the
% cost of using theta as the parameter for linear regression to fit the ... |
function IM = ReadITKImage(filename, dims)
% READITKIMAGE reads in image formats supported by ITK.
% SYNTAX:
% IM = ReadITKImage(filename) reads the image identified by filename and
% returns the image in metaimage format
%
% OUTPUTS:
% IM is the image in metaimage format
%
% EXAMPLE:
... |
function [X_pool, ind] = max_pool_forward(X_relu, pool_param)
% X_conved: conved images now wait for pooling.
% we adopt distinct pooling strategy.
% the 'pool_param.stride' is not used.
% function works like sub2ind, but faster! (maybe...)
get_ind = @(siz, x1, x2, x3, x4) x1 + (x2-1)*siz(1) + ... |
% Does webtree as a binary integer programming problem. This is our second shot
% at it.
%
% Author: Alden Hart and Rich Korzelius
% 3/22/2015
FILENAME = 'processed_data_spring-2014.csv'
OUTFILE = 'MATLAB_result_spring-2014.txt'
all_data = csvread(FILENAME);
student_ids = all_data(3:end,1);
crns = all_data(1,2:end);
... |
function plot_velocity(vc_history, error_history)
shape = size(vc_history);
vels = shape(2);
total_iter = shape(1);
figure(3);
gcf;
xlabel('iterations');
ylabel('Velocity');
for i = 1:vels
plot([1:total_iter],vc_history(:,i)');
hold on;
end
legend('vel-x','vel-y','vel-z','omega-x','omega-y','omega-z... |
% The following example is based on the tutorial available in the
% following webpage:
% https://mattmazur.com/2015/03/17/a-step-by-step-backpropagation-example/
% This has been used as a trail to ensure that the MLP equations
% are right
x1 = [0.05; 0.10];
y = [0.01; 0.99];
% In this example we are considering only ... |
function results = ASSIGN_evaluate_architecture(arch)
%% ASSIGN_evaluate_architecture.m
global params
r = global_jess_engine();
% This function asserts missions corresponding to the packaging
% architecture given in the input, and then evaluates them
instr_list = params.assign_instrument_list;
% Clear expl facility
c... |
function ii=ImageToIntg(i,W,H);
s=[];
ii=[];
for m=1:H
for n=1:W
if n==1
s(m,1)=i(m,1);
else
s(m,n)=s(m,n-1)+i(m,n);
end
if m==1
ii(m,n)=s(m,n);
else
ii(m,n)=ii(m-1,n)+s(m,n);
end
end
end
|
x_mean=61; % assume this is the effect size
x_sigma=(68^2 + 68^2)^0.5;
df = 30;
x_mean=10
x_sigma=20
df = 55*4 - 100 - 6 -1
t = x_mean/(x_sigma/sqrt(df));
zdata = spm_t2z(t,df-1)
pval = 0.001;
p=1;
z=0;
while p >= pval
p = 1-spm_Ncdf(z);
z=z+0.01;
beta = spm_Ncdf(z,zdata,1);
end
beta
zcrit= z
... |
clearvars;
m1 = 1.2540;
l1 = [0.3240 0 0];
r1 = [0.1471 -0.0237 -0.0091];
i1 = [ 0.0038 -0.0001 -0.0026
-0.0001 0.0143 -0.0003
-0.0026 -0.0003 0.0143];
l1f = l1(1);
r1f = [r1(1) 0 0];
%% Load Corke Model
% L(1) = RevoluteMDH('d', 0, 'a', 0, 'alpha', 0, 'offset', 0,...
% 'm', 0, 'r',... |
% Abstract class for the kinematics and dynamics of a single cable
%
% Please cite the following paper when using this for multilink cable
% robots:
% D. Lau, D. Oetomo, and S. K. Halgamuge, "Generalized Modeling of
% Multilink Cable-Driven Manipulators with Arbitrary Routing Using the
% Cable-Routing Matrix," IEEE Tr... |
clear;
clc;
Ntask = 100;
Nworker = 10;
Ndom = 7;
Redun = 5;
ndom = 3;
[L,groundtruth] = L_simulation_noNoise(Ntask,Nworker,Ndom,Redun,ndom);
model = crowd_model(L,groundtruth);
Ntask = model.Ntask;
p0Set = 0.05/32:0.05/32:0.05;
p1Set = 0.5:0.025:0.95;
[x,y]= meshgrid(p0Set,p1Set);
[n,m] = size(x);
SEEKresultSet =... |
%% gen pure tone stim with ITD
fs = 195312.50;
dur = 200*1e-3; % 200ms sound
nSamp = round(fs*dur);
MAX = 0.8; % constrain each wave to be within [-0.8,0.8] to allow some modulation of amplitude, either increase or decrease of amplitude
% load following calibration data from 03012016
% amplitude difference betwee... |
function [] = plot_rank(x, varargin)
loglog(sort(x, 'descend'), varargin{:});
xlabel('Rank');
ylabel('Frequency');
|
%% Derive the robotics dynamics:
clear all
tic
%% Get DH parameters, rotation matrices, ...
% Get d1,...,d6, a1,...,a6, alpha1,...,alpha6
% A1(theta_1), ..., A6(theta_6)
% Transformation Matrices T1...T6:
% T1(theta_1), ..., T6(theta_1, theta_2, theta_3, theta_4, theta_5, theta_6)
% Rotation Matrices R1, ..., R6:
% R1... |
%Bład drugi i nieskonczony
function [deltaSr, deltaMx]= wskBlad(A)
deltaSr = max(sqrt(eigs(A' * A)));
deltaMx = max(sum(abs(A), 2));
end |
function [Sdraw] = Kalman_companion(data,S0,P0,H,R,F,Q)
[t,nm]=size(data);
kml=size(S0,1);
km=size(H,2);
% KF
Sp=S0; % p for prediction: S(t|t-1), Stt denotes S(t|t)
Pp=P0;
S=zeros(t,kml);
P=zeros(kml^2,t);
for i=1:t
y = data(i,:)';
nu = y - H*Sp(1:km); % conditional forecast error
f = H*Pp(1:km,1:km)*H... |
%%Stereo to Ambisonic
%parameters
n = 1; %ambisonic order
azi = [0, 90, 180, 270]; %azimuths
azi = azi .* pi/180;
elev = zeros(size(azi)); %elevations, 0 for no height
elev = elev .* pi/180;
Fs = 44100; %sample rate
%calculate Spherical Harmonics
clear front
clear right
clear back
clear left
front = zero... |
% Metodo de Newton en dimension n para aproximar
% una solucion del sistema F(x)=0.
% F se especifica en este archivo. F' se aproxima con
% diferencias finitas.
% x0 es un valor semilla y es un vector de dos entradas.
function [Indicador,r] = MetodoNewton_n(x0, MaxNumIter, Tol)
Indicador = 0;
r=Inf;
for i=1:MaxNumIter... |
%清除画布
clf;
%清除坐标轴
cla;
%关闭窗口
close all;
%清除所有原有变量
clear all;
%清除命令窗口的内容
clc;
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%图像1
Image1=imread('data/1.jpg');
Image2=imread('data/2.jpg');
%RGB分量
Image11=Image1(:,:,1);
Image12=Image1(:,:,2);
Image13=Image1(:,:,3);
Image21=Image2(:,:,1);
Image22=Image2(:,:,2);
... |
function [tree2_num,pathfind] = extend_rrtree2only(tree2_num,tree1node)
global rrtree2 thickenline map STEP Astar_Goal;
[map_row,map_col] = size(map);
while(1)
% rand num
if (rand()<0.5)
rand_node = rand(1,2).*[map_row,map_col];
else
rand_node = tree1node; % from Goal to Start
end... |
% Check that we are running a compatible version
if (~contains(version, '9.5.0')) || (~contains(computer, 'GLNXA64'))
error('You must compile this function using R2018b (9.5.0.1067069) 64-bit (glnxa64). You are using %s, %s', version, computer);
end
disp('Configuring spm to be used as part of a standalone executa... |
%% Modelli cD
close all; clear; clc
addpath('LiteratureModels')
% Implemented, working models for cD calculation
% ["Holzer&Sommerfeld", "Holzer&Sommerfeld_simplified", "Swamme&Ojha",
% "Ganser", "Chien", "Dioguardi", "Heymsfield&Westbrook",
% "VenuMadhav&Chhabra", "Standard" (SPHERE ONLY!), "debug"]
models_default... |
function [ferr,dW_total,dh_total,dv_total, poshidprobs, poshidstates, negdata, stat] = ...
fobj_tirbm_CD_LB_sparse_audio(imdata, W, hbias_vec, vbias_vec, pars, CD_mode, bias_mode, spacing, l2reg)
% imdata:sample_size * 1 * 80; W：6*80*300 hbias_vec：300* 1 vbasis_vec:80*1,spacing:3
ws = size(W,1);% ws:6
% poshidexp:(... |
classdef IsoMapTransform < ATransform
% Pricipal Component Analysis transform class
properties (SetAccess=protected)
%The different components
mapping = [];
%How many components are used (default 1)
degree = 1;
end
methods
function obj = IsoMapTransform(degree)
... |
function [X,lon] = regrid2gcm(Xo,lon_o)
%REGRID2GCM Regrids lat-lon data sets into lons that resemble GCM output
% Simply switch the bounding box of the data such that lons go from 0 to
% 360 instead of -180 to 180. Xo is in units of (lat,lon,time), and this
% also assumes that the grid is regular lat-lon.
X=zer... |
function [ValveLift,ValveOverlap] = AdaptValveData(VD,RunCond)
%UNTITLED Summary of this function goes here
% VD: struct containing original Valve Data
% RunCond: struct containing Running Conditions
IntDephasing = RunCond.IntakeShift; % [CAD] Shift of the intake camshaft
ExhDephasing = RunCond.ExhaustShift;... |
function C=extractdiagblocks(A,n)
%EXTRACTDIAGBLOCKS Extract diagonal blocks.
%
% C=EXTRACTDIAGBLOCKS(A,N), returns a sparse matrix C with the
% N-by-N diagonal blocks of A. A must be real double with an integer
% number of diagonal blocks. A can be sparse or full.
error('Cannot find mex file')
|
epochNum = readtable('epochNum.csv');
epochTime = epochNum(:,1);
epochState = epochNum(:,2);
epochLength = epochNum(:,3);
length = 3600; %Set to the number of seconds we will run, 1 hour = 3600
hour = 1;
Fs = 512; %Set standard frequency
%hourOneDelta = [];
%hourOneNormal = [];
unf... |
function s_out = remove_quotation_marks(s_in)
s_out = cell(length(s_in),1);
for i=1:length(s_in)
elems = strsplit(s_in{i},'"');
if length(elems)==1
s_out{i} = elems{1};
elseif length(elems)==3
s_out{i} = elems{2};
end
% convert date to american format
if i==2
co... |
function xLim3 = xLimCOB(theta,x1,xMid,x2)
[A,~,H,volume,V_all,~,~,~,thetaL,thetaR] = setValue();
tol = 10^-6;%精度
runtimes = 100;
precision = 6;%分数转小数保留的位数
if nargin == 1
x1 = 0;%初始化x1作为5的第一次迭代下界
x2 = -sqrt(H/A);%初始化x2作为1的第一次迭代下界
xMid = sqrt(H/A);
end
xLim3 = [x1 xMid x2];
% fileID =fopen('迭代信息.txt','w');
c... |
function importDaVisSet(outfile,infiles)
if (nargin < 2),
[fn,pn] = uigetfile({'*.vec;*.vc7','DaVis vector files (*.vec,*.vc7)'; ...
'*.*', 'All files'}, 'Choose DaVis input files', ...
'MultiSelect','on');
%attach the path name to every file
for i = 1:length(fn),
infiles{i} = ... |
cd('/Users/abrahamn/Documents/MIT/21cm/sat_cal/updates/2014/jan28/unpolarized_beam_analysis');
nsides=32;
angcell = pix2ang(nsides);
pixang=cell2mat(angcell)';
interleavingtimes = zeros(1,10);
beams = zeros(2,nSide2nPix(nsides),10);
beamind = 1;
%%
label='Zenith_20130905';
disp(['starting ',label]);
strs=strspli... |
function A2 = project_to_simplex(A)
%PROJECT_TO_SIMPLEX Summary of this function goes here
% Detailed explanation goes here
[N,M] = size(A);
[A1,IX] = sort(A',1,'descend');
J = ones(N,1)*(1:M); J = J';
A1cum = cumsum(A1,1)-1*ones(M,N);
A1minus = (A1 - (A1cum ./ J)) > 0;
rho = max(double(A1minus).*J,[],1);
theta = A1... |
% Find the frequency response of first order IIR digital filters.
alpha = 0.4;
num = ((1-alpha)/2)* [1 1];
den = [1 -0.4];
freqz(num, den);
% Compare the magnitude and phase response with FIR filters.
% Design a second order IIR bandpass filter with center frequency 0.4?
% and 3-dB bandwidth of 0.1?. Use... |
function boxScatterFitPlotWrap(vs, xlbl, ylbl, sB, sF, nb)
if nargin < 4
sB = true;
end
if nargin < 5
sF = true;
end
if nargin < 6
nb = 12;
end
figure; hold on;
set(gcf, 'color', 'w');
xs = [vs.(xlbl)];
ys = [vs.(ylbl)];
ix = ~isnan(xs) & ~isnan(ys);
... |
function [E] = pose_estimate_nlopt(Eg, Ipts, Wpts)
% POSE_ESTIMATE_NLOPT Estimate camera pose from 2D-3D correspondences via NLS.
%
% [E] = POSE_ESTIMATE_NLOPT(Eg, Ipts, Wpts) performs a nonlinear least squares
% optimization procedure to determine the best estimate of the camera pose in
% the calibration targ... |
% Script for normalizing sub-regions
% (C) Copyright 2019 The Huang Lab
%
% All rights reserved Weldon School of Biomedical Engineering
% Purdue University
% West Lafayette, Indiana
% USA
%... |
function [out]=shake(in,center,shakes)
%
% Written By: Michael Hutchins
switch nargin
case 1
center=1;
shakes=1;
case 2
shakes=1;
end
for i=1:shakes
if i>1
in=out;
else
in=logical(in);
end
dimension=ndims(in);
if dimension==1;
out=circshift(... |
function [p,l_map,l_cnt] = init_population(ss,N)
% Initialize population through random state assignment to ss edges.
% ss acts as a mutation matrix: if edge (i,j) is oriented in the ss then
% it can change state in each individual in the population.
n = size(ss,1); % #nodes
p = cell(1,N); % population
... |
function YY=position_Ali(ImageFolder,files,Threshold)
% size of the probe in pixels
probe_size=21;
Nfiles=length(files);
minFrame=min(15,Nfiles)
AliYY=zeros(minFrame,1);
for i=1:minFrame
%Nfiles
%----- read one image in folder----%
imfile = fullfile(ImageFolder,files{i});
grayImage = imread(imfile);
... |
function [aV] = vol_binarize(aV_input, varargin)
%
% NAME
%
% function [aV] = vol_binarize(aV_input, [, af_binValue, af_false])
%
%
% ARGUMENTS
% INPUTS
% aV_input volume data space to binarize
%
% OPTIONAL
% af_binValue float binary value (default = 1)
% af_false ... |
%%%%%%%%%%%%%%%%%%%%%%%%%%
% calculate_stiffness
% Marie Moltubakk 26.6.2013
% Read stiffness equation and max force
% Produce stiffness for a range, i.e. 80-100%, of ind max force
%%%%%%%%%%%%%%%%%%%%%%%%%%
function stiffness = calculate_stiffness(stiff_eq, force100, percent_start, percent_stop, label)
... |
%% Top level settings
% Here, the model which is to be simulated is set (h) with a controller (c)
% which is then simulated in a specified time (t). To change model or
% controller parameters, alter the corresponding init file or the
% appropriate parameter in the workspace. No parameters are hard coded in
% the simul... |
close all; clear all
clc;
%% Step 1: Initial Allocation of Households on the Checkboard
rand('seed',0); % initializes the random number generator
parcel = randperm(225)';
resarea = zeros(15,15);
resarea(parcel(1:110)) = 1; % black
resarea(parcel(111:220)) = -1; % whites
clear parcel;
resar... |
function [pose, d] = setup_GUI_Screen(s_Per)
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% input %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% s_Per: Screen Coverage percentage
% num: figure number
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%%%%%%%%%%%%%%%%%%%%%%%%%%%%% Screen Coverage %%%%%%%%%%%%%... |
%% Collecting all individuals’ solutions into a n × n agreement matrix,
% where n is the number of pieces of the puzzle.
% Each cell aij in the matrix records the proportion of individuals that set cities i and j as neighbors.
function [cMat_Right,cMat_Down] = calcAgreementMatrix(expPop, b1, b2, Nsubimages)
[... |
if ~exist('toyset'), disp('Error: please specify toy set.'); return; end;
toysetcases = dir([toyset '\*.mat']); toysettestcasecount = 1;
for ii = 1 : length(toysetcases)
load([toyset '\' toysetcases(ii).name]);
runtest;
testresult{toysettestcasecount} = {toysetcases(ii).name lda pl rp km nn nn3}; toysettest... |
function [A] = mean_angle(x)
%% [A] = mean_angle(x) calculates
% for a vector x of angles in radians the
% mean angle between 0 2pi
% convert to complex plain
y = exp(1i*x);
% cal average point in complex plain
A = angle((nanmean(real(y)) + 1i*nanmean(imag(y))));
A(A>2*pi) = A(A>2*pi)-2*pi;
A(A<0) = A... |
function testOnlineTracking_helper
% Do not call this function directly.
% See 'testOnlineTracking' for more details.
global TEST_MTT MTT;
offset = 0.5; %offset for grouping observations: big difference on outcome
n = get(TEST_MTT.timer,'TasksExecuted'); %Number of time intervals that have passed
if (n == T... |
function [ResultStruct, ResultStructBW]=Average_Smooth(CDataSetInfo, Param)
%%%Doc Starts%%%
%-Description:
%This method is to perform 2D averaging filter in slice-by-slice.
%-Parameters:
%1. Size: The kernel size in the pixel unit. Kernal is a square matrix.
%-Revision:
%2013-10-12: The method is implemen... |
%zmienne
a1=0.9;
a2=0.1;
b0=0.1;
b1=0.2;
b2=0.3;
a=[a1,a2];
b=[b0,b1,b2];
x=0:1:15;
imp=zeros(1,length(x));
imp(1)=1;
odp_imp=filtr(b,a,imp);
%podpunkt a
figure;
stem(odp_imp);
title('OdpowiedŸ filtru obliczona z równania ró¿nicowego');
xlabel('Numer próbki');
ylabel('Amplituda');
%podpunkt b
figure;
af=[1,a1,a2];
bf=... |
[inspeech, Fs1] = audioread('wav\\aslp_zhy_00010.wav');
[outspeech, Fs2] = audioread('lpcWav\\aslp_zhy_00010.wav');
% Draw the speech wavwform
figure;
subplot(2,1,1);
plot(inspeech);
title('original speech waveform');
grid;
subplot(2,1,2);
plot(outspeech);
title('synthesised speech waveform');
grid;
% Draw the speech... |
% Aitken's algorithm in affine space
%
% o history
% Daniel Klawitter
% 19-01-2010 - 16:20 created
%
% o summary
% Startfile for De Casteljau algorithm in affine space.
% Gerald Farin - Curves and surfaces for CAGD, A pratical guide
% p. 43
%
%
% o TODO:
%
coords{1}.x=0;
coords{1}.y=0;
coor... |
function u=masscons(u0,h,w)
% mass consistent approximation
% given
% u0 3 wind vectors on staggered grids
% h step, vector length 3
% w weights, vector length 3
% solve
% min_u 1/2 <D(u-u0),u-u0> s.t. div u = 0, D=diag[w(1)I,w(2)I,w(3)I]
% <=>
% min_u max_lambda 1/2 sum_i <D(u-u0),u-u0> + <lambda,div u>... |
% Model:
% sum_{d=1}^M(log(p(w_d)))
% perp = exp( - ----------------------------- ),
% sum_{d=1}^M N_d
% where M is the number of documents, w_d is the words in document d, N_d
% is the number of words in document d. We specify w_d as
% w_d = prod_{i=1}^{N_d} p(w... |
[X, Y] = meshgrid(linspace(.02, .2), linspace(100, 2000));
[power_W, copper_volume_m3] = helmholtz_power(X, Y);
figure()
subplot 211
contourf(X, Y, power_W, 1000, 'LineStyle','none')
colorbar
xlabel('Wire diameter (in)')
ylabel('Number of turns')
title('Power (W)')
subplot 212
contourf(X, Y, copper_volume_m3, 1000, '... |
%1(a)
img = zeros(304,304);
img(2:303,2:303)=dat;
medfiltimg = zeros(302,302);
x=[];
for i=2:303
for j= 2:303
x = img(i-1:i+1,j-1:j+1);
x = x(:);
x = sort(x);
medfiltimg(i-1,j-1) = x(5);
end
end
medfilt2img = medfilt2(dat);
figure
imagesc(dat);
colormap(gray);
figure
imagesc... |
function net = train_neuralnet(net, data, labels, n_epochs, lr, lambda)
% n_epochs = 1000;
% lr=0.5;
% lambda = 1;
disp('Training!!!');
for epoch = 1:n_epochs
total_loss = 0;
for i = 1:length(labels)
input = [1, data(i, :)]; % dim: 1 x (n_input+1)
label = labels(i); ... |
function NewTFNumber=AddIncrementalHuangFuzzyGranulation(OldData,NewData,OldSumDominantMatrix,LeftSum2,LeftSum1,RightSum2,RightSum1,BreakPoint,OldTFNumber,OldRightAscendData,OldLeftAscendData)
NewTFNumber=zeros(1,4);
OldDataNum=size(OldData,1);
NewDataNum=size(NewData,1);
CombinedData=[OldData;NewData];
M1=Increme... |
% load the source
clear; clc;
K = 10;
K1 = 60;
d = 38;
source = load('2k2k.mat');
train = source.fea(source.trainIdx, :)';
trainLabel = source.gnd(source.trainIdx);
test = source.fea(source.testIdx, :)';
testLabel = source.gnd(source.testIdx);
all_data = [train, test];
all_labels = [trainLabel, testLabel];
for K = 1... |
%% Initialize arduino and DS18B20 sensors
<<<<<<< Updated upstream
a = arduino('COM4', 'Uno', 'Libraries', 'PaulStoffregen/OneWire');
sensor = addon(a, 'PaulStoffregen/OneWire', 'D2');
=======
a = arduino('/dev/tty.usbmodem1411', 'Mega2560', 'Libraries', 'PaulStoffregen/OneWire');
sensor = addon(a, 'PaulStoffregen/OneW... |
function y=y_trajectory(x, Da, F)
%compute the y coordinate on the nappe trajectory
%use the aerated nappe profile, i.e., equation 1 in "predicting stress
%and pressure at an overfall" by Robinson (1992)
if nargin==2
%assume critical flow at the brink
F=1;
end
K=-0.483;
A=-0.546;
B=1.6;
C=0.823;
y=Da*K*F^A*(... |
function plot_1d_DM(seqpos, reactivity, error, labels, color_code, file_name, flg)
if ~exist('color_code','var') || isempty(color_code);
color_code = {'k','g','m','c','r','b'};
end;
if ~exist('flg','var'); flg = 0; end;
figure; clf;
set_print_page(gcf, 1);
plots = size(reactivity, 2);
for i = 1:plots;
subp... |
x = normrnd(0,1,100,1);
hist(x);
mean(x);
std(x);
size(x,1);
hist(x(x<1));
sum(x<1);
sum(x<1)/size(x,1);
normcdf(1,0,1);
disp('Standard Error')
SEM = std(x)/sqrt(length(x)) % Standard Error
disp('T-Score')
ts = tinv([0.025 0.975],length(x)-1) % T-Score
disp('Confidence Interval')
CI = mean(x) + ts*... |
clear all;close all;
savePath = '/home/omartin/Projects/Turbulence Profiling/PEPITO/Simulations/';
%% Define the system
% Define an atmosphere
r0 = 0.1;
L0 = 25;
alt= 8e3;
w0 = 1;
wS = 15;
wD = pi/4;
atm = atmosphere(photometry.V0,r0,L0,'altitude',alt,'fractionnalR0',w0,...
'windSpeed',wS,'windDirection',wD);
% De... |
function input_resistance(recdate,varargin)
if nargin>1
cellnum=varargin{1};
else
cellnum='A'; % Cell number
end
if nargin>2
trials_control=varargin{2};
else
trials_control=1;
end
if nargin>3
trials_propofol=varargin{3};
else
trials_propofol=1;
end
if nargin>4
conc_propofol=varargin{4};
else... |
clear all;
close all;
clc;
% Dataset
load('Person1\rec_1m.mat');
% Info
Fs = 500;
Ts = 1/Fs;
t = 0: 1/Fs : length(val)/Fs-1/Fs;
x = val(1,:);
% Highpass
load('coeffHighpass.mat');
yh = iir(x, bm, an);
% Lowpass
load('coeffLowpass.mat');
yl = fir(yh, bm);
% Plot
figure(1)
plot(t,x)
hold on;
plot(t,yl)
legend('Origi... |
function runner_3b_optimisationRun_HPC(intRun,opFileListName,opSaveFolder)
if ischar(intRun)
intRun = str2num(intRun);
end
addpath OFfunctions
cauchy(1,[1 0]);
load(opFileListName);
fileToLoad = fileListHPC{intRun};
disp(['loading file ' fileToLoad]);
load(strcat(opSaveFolder,fileToLoad));
disp([opSave.saveFileNa... |
% Yiwen Mei (ymei2@gmu.edu)
% CEIE, George Mason University
% Last update: 10/31/2019
%% Functionality
% This function adjust for wind speed and direction based on opographical properties
% of terrain.
%% Input
% ws : spatial wind class (Wind2DCls.m) object or workspace variable for meridional
% and ... |
function [A,B,C,D,freq,td,varargout] = sinDecayFitTilt(t,P,...
A0,ABnd,...
B0,BBnd,...
C0,CBnd,...
D0,DBnd,...
freq0,freqBnd,...
td0,tdBnd)
% SinDecayFit fits curve P = P(t) with a Sinusoidal Decay function:
% P = A +B*(exp(-t/td)*(sin(2*pi*freq*t+D)+C));
%
% varargout{1}: ci, 6 by 2 matrix, ci(... |
% Main Run for material decomposition
% Author: Hanna Liu
% Date: 01/12/2017
clc;clear;close all;
rng(100); % generate repeatable simulation data
%% Data structure
% structDet: energy discreminating detector properties
% structMas: mass attenuation coefficients
% structSrc: X-ray tube spectral
% struct... |
/*
* Copyright (c) 2015 Lutz Hofmann
* Licensed under the MIT license, see LICENSE.txt for details.
*/
AttachSpec("lib/buildings.spec");
SetAssertions(1);
SetVerbose("buildingLib", true);
SetVerbose("buildingQuotient", true);
SetVerbose("harmonicCochains", true);
// set true for profiling
PROFILE := false;
if PROF... |
clear all; close all;
% PART 1 Q1
A = [0.9 0.2 0.1 0 -0.3;
0 0.9 0.1 0 0;
0.1 0 0.2 0.1 0;
0 0 0.3 0.4 0.2;
0 0.2 0 0 0.8];
B = [0 0;
0 0;
-1 0;
1 0;
0 1];
C = [1 0 1 0 0];
D = [0 0];
Binv = pinv(B);
%% a)
rank(ctrb(A, B));
rank(ctrb(A, B(:,1)));
rank(ctrb(A, B(:,2)));
%% b)
x0=... |
function GetCellSize( obj, mesh )
% Jacobian determination on each quadrature points
one = ones( obj.cell.Np, obj.Ne );
% Volume for each cell of the studied mesh
obj.LAV = mxGetMeshIntegralValue( one, obj.cell.wq, obj.Js, obj.cell.Vq );
end |
function [ X, pos, eulAngle ] = FK( angles, arm, robot )
% Calculate forward kinematics for arm
% @arm - string "L" or "R"
% @angles - angles array (6x1)
% @robot - constants for robot
% result(1) - (4x4) result matrix
% result(2) - (3x1) position, which were extracted from result(1)
% result(3) - (3x1) Euler angles (Z... |
%% generate data
clear all, close all
rand('seed', 0);
randn('seed', 0);
x = rand(1,100);
y = exp(x.^3 - x.^2 + 0.01*x + 2) + 0.04 * randn(size(x));
plot_data(x,y)
%% Polynomial model
close all
grade = 2;
theta = polynomial_train(x,y,grade);
points = linspace(0,1.5,100);
ypredicted = polynomial_predict(points, t... |
function Network = makeCartesianGridNetwork (n, numDims)
if numDims ~= 2,
error ('*** Only 2-D grids supported at present. ***');
end
Dims = makeGridDimensions (n, 2);
x = Dims(1); y = Dims(2);
I_x = speye (x);
e_x = ones (x, 1);
T_x = spdiags ([e_x e_x e_x], -1:1, x, x);
I_y = speye (y);
e_y =... |
%here we search for an optimum configuration of the rocket
clearvars
addpath("../simulator", "../SQP")
global R_t H_c R_c V_p V_c M_i t_c m_e v_e k_ alpha
%we prepare some values
data()
%see that assignment in the first flow chart
V_p = 1.2*V_c;
%tolerance
tol = 10;
maxnbiter = 5;%maximum number of it... |
%% Simulate response
rMax = {1 1};
c50 = {2 2 };
order = { 2 2};
base = {0 0};
%input{1} = repmat([ones(10,1); -ones(10,1)],10,1);
%input{2} = repmat([-ones(10,1); ones(10,1)],10,1);
w1 = 3*.33;
w2 = 5*.33;
ph2 = 0;
t = linspace(0,6*pi,200);
t2 = linspace(0,6*pi,200)+2*pi/1;
input{1} = (sin(w1*t));
input{2... |
function generateSeedData(N_seeds, N_freqs, seed)
% This function creates seed data and saves it as fibro_seedinfo.mat
% This function only needs to be called when seed data needs to be changed
% or (re)generated. Usage:
%
% generateSeedData( N_seeds, (N_offsets), (seed) );
%
% N_seeds: number of unique seeds ... |
function [ap] = precrec_driver(out, gt, draw)
% precrec_driver(OUT, GT, DRAW)
% Utility function called by perf_precrec
% compute precision/recall
%
% INPUTS:
% -OUT: (nx1) vector of predicted labels
% -GT: (nx1) vector of true labels
% -DRAW: (logical) if 1, plots precision/recall
%
% OUTPUT:
% -ap: average precisio... |
%% Mathieu BROCHET_ Elsa DRONET
clear all;
close all;
clc;
%% Initialisation des variables
Fp = 1.09*10^6; %fréquence porteuse
Fe = 20*10^6;
Te = 1/Fe;
Ts = 1*10^(-6);
Ds = 1/Ts;
moy_fft = 100;
Fse = Ts/Te; % 20 échantillons
NFFT = 1000; % nombre de point par fft
Nb = 5; % nombre de bits % nombre de FFT
B = randi([0,1... |
%% this example shows how to use staircase toolbox
clear all
% initialize it
initializeStaircase
% exp routine
ntrail = 0;
while (1)
r = showStimuliAndGetResp(mysc.xnext);
mysc.update(r);
end |
%hvnormalise - issue 1.2 (02/02/09) - HVLab HRV Toolbox
%------------------------------------------------------
%[outdata] = hvnormalise (indata, mode, N)
% Subtracts the mean value from a data set
%
% outdata = name of new workspace data structure array containing the
% normalised input data set(... |
function [id,p] = cpivProcessImageParams(p)
id = [];
if (iscellstr(p{1})),
if (length(p{1}) == 1)
error('You must have at least two images.');
end;
id.FileNames = p{1};
id.NFrames = size(id.FileNames,1)-1;
if ((size(p{1},1) == 1) && (size(p{1},2) > 1)),
id.FileNames = id.FileNames... |
function [corr_vector mean_vector] = f_correlation_vector(correlation_data, electrodes_to_use, separate_electrode_data)
%% f_correlation_vector creates a vector of EEG-fMRI correlation data and a vector of all data averaged together.
%
% Syntax:
% [corr_vector mean_vector] = f_correlation_vector(correlation_data... |
A = [2 4 5
6 9 8
4.1 5 3]
Aerror= [2 4 5
6 9 8
4.2 5 3]
b = [220
490
274]
[L U P] = lu(A);
AN = P*A;
bN = P*b;
[LN UN PN] = lu(AN);
y = LN\bN;
x = UN\y;
[Lerr Uerr Perr] = lu(Aerror);
Aerr = Perr*Aerror;
berr = Perr*b;
[Lerr Uerr Perr] = lu(Aerr);
yErr = Lerr\berr;
xErr = Uerr\y... |
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