text stringlengths 8 6.12M |
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function saveNSS
close all;
clear all;
% Input-3D processed texture videos, left and right views
% Output-NSS features
%% processed left and right views
dataleft = load('src01_HRC102_2.mat');
dataright = load('src01_HRC102_0.mat');
imDL = dataleft.Ydst;
imDR = dataright.Ydst;
imDD = abs(imDL-imDR)... |
function [radian] = DegreeToRadian(degree)
radian = degree * (pi/180);
end |
%% Lecture 08
%whenever you have data that changes 1 order of magnitude, apply a
%different measure that will account for small values (unlike least
%squares, which large values will have large effect) .... so you do this through weighting
%
|
clear
clc
num=500;
dt=0.1;
rol=7800;
specific_heat=125;
Conductivity=15;
load('DATA_3D.mat');
load('3D_loadless_K.mat');
K=K1;
load('3D_M.mat');
load('3D_L.mat');
%初始化
T(:,1)=DATA_3D(:,1);
nodes_num=length(T(:,1));
%寻找边界条件节点编号
n=1;
for i=1:1:nodes_num
T_initial=DATA_3D(i,2);
if T_initial==200
ini... |
function val = N(m,x,L)
% ------------------------------------------------
% funcion de prueba N para un m dado
% ------------------------------------------------
val=sin(m*pi*x/L);
end |
function [result] = ALCOVE(model)
% ------------------------------------------------------------------------
% This trains the alcove network given the design specification in the sole
% argument, model. This argument contains critical information about the
% model, and must include:
%
% distancemetric: 0 f... |
%% ON bar of different widths at any location on the screen
clear all;
numOfPanelsAcross = 7;% 7 panels across
numOfPanelsVertically = 2;%
LEDdotsPerPanel = 8; % this shouldn't change! LEDs are always 8 dots in x and y.
LEDdotsAcross = numOfPanelsAcross * LEDdotsPerPanel; % 56 for yvette's set up
LEDdotsVertically =... |
function feature = genFeatures(prob_t,worker_abil,graph)
degree = sum(graph,2);
abilityHist = histWorkerAbilities(worker_abil,graph);
idx_neg = prob_t==-1;
entropy_t = -prob_t.*log2(prob_t) - (1-prob_t).*log2(1-prob_t);
nanidx = isnan(entropy_t);
entropy_t(nanidx) = 0;
entropy_t(idx_neg) = 1;
feature = [entropy_t de... |
function dt = readIDTbin(file)
index = [1,11,41,137,245,341;10,40,136,244,340,436];
% max_desc = 100000;
if exist(file, 'file')
fid = fopen(file,'rb');
temp = fread(fid, [index(2,end), inf],'single');
fclose(fid);
if ~isempty(temp)
dt.info = temp(index(1,1):index(... |
function availability = getAvailability(year, configuration, system_info)
% getAvailability Summary of this function goes here
% The calculation procedure follows the mechanism described in pp.43-49
% https://www.osti.gov/servlets/purl/5208341 to consider maintenance schedule.
starting_year = system_inf... |
% Names: Jens Daci and Jonathan Coskuner
% Course: Signals and Systems
% Description: This code reads the .wav file and does the following:
% 1. Adds noise to the original signal (plots and saves file)
% 2. Designs filter to cancel the noise (frequency response)
% ... |
function [ conn , info ] = recv( conn )
if ~isempty(conn.s)
info = unpickle( fscanf( conn.s ) );
else
error( 'The connection is not open' );
end
|
% Lec 7.1 : Introduction to Euler's Method
% Solve ODE -IVP using Euler's Explicit Method
% y'= -2ty ; y(0) = 1
t0 = 0;
y0 = 1; % Initial conditions
tEnd = 5;
h = 0.001;
N = (tEnd-t0)/h;
%% Initializing Solutions
T = [t0:h:tEnd]';
Y = zeros(N + 1,1);
Y(1) = y0;
%% Solving using Euler's Explicit Method
for i = 1:N
... |
function Fn_toe2 = Fn_toe2(in1,th,k,cmax,dmax,us,ud)
%FN_TOE2
% FN_TOE2 = FN_TOE2(IN1,TH,K,CMAX,DMAX,US,UD)
% This function was generated by the Symbolic Math Toolbox version 8.4.
% 13-Jun-2020 13:04:19
q1 = in1(:,1);
q2 = in1(:,2);
q3 = in1(:,3);
q4 = in1(:,4);
q5 = in1(:,5);
q6 = in1(:,6);
qd1 = in1(:,7);
... |
function [robotText_h] = LogAndDisplay(robotLog,robotNumber,status,robotCurrentConfig, robotCurrentTr,robotText_h)
if robotNumber == 1
%Logs current pose and joint states
robotLog.mlog = {robotLog.DEBUG,'Assembly',[status,robotLog.MatrixToString(robotCurrentTr)...
... |
X_testing = importdata('./data/testing/X.dat');
y_testing = importdata('./data/testing/y.dat');
value = myClassifier.predict(X_testing);
scatter (X_testing(y_testing==1), zeros(size(X_testing(y_testing==1))), 'g');
hold on;
scatter (X_testing(y_testing==-1), zeros(size(X_testing(y_testing==-1))), 'r');
hold on;
... |
function [ ObservationDistribution,Data_c ] = GetObjservationMatrix( flag_case,flag_ifTrain,DataArray )
%UNTITLED2 Summary of this function goes here
% Detailed explanation goes here
%k-means clustering classficiation
Data_RawObserve = transp([DataArray{1};DataArray{2};DataArray{4}]);
[Data_idx,Data_c] = kmeans(Data... |
% ADVISOR data file: PTC_FUELCELL.m
%
% Data source:
%
% Data confirmation:
%
% Notes:
% Defines all powertrain control parameters, including gearbox, clutch, hybrid
% and engine controls, for a series hybrid using a thermostat control strategy.
% To ensure proper operation, this file must be reloaded every time the F... |
% to run the Genetic algorithm for different crossover rates
fs =96000;
noteON = 100 ; %100;
noteOFF =3500; %3500 ;
t = 0:1000/fs:4500;
note = (t >= noteON) & (t <= noteOFF);
N = length(note);
f0 = 440;
% sample 1
lb = [4, 0, 100, 1200, 0.1, 1200, 10, 200, 0.1, 700, 0.4]; % lower bound
ub = [7, 3, 500, 1700 ,0.8... |
%% Nuclear Reactor Theory %%
%* Matrix assignment (Flux in lattice) *%
%* Ahmed Mustafa Ishag -- U00038807 *%
%* Adel Ali Ansari -- U00036658 *%
%************************************************%
clear all
clc
%% The input code
disp('****Nuclear Re... |
function [] = aggregate_cons_ground_pr(partition)
close all
kIm=63; %training;
% test
% kIm =33;% val
%data_dir = '~/Dropbox/westeros04a/BSR/BSDS500/data/groundTruth/consistency_full/';
data_dir = '~/Dropbox/westeros04a/BSR/BSDS500/data/groundTruth/consistency_full0520/';
if(~exist('partition', 'var'))
partition =... |
function makeTuples( obj, key,traces,traces2,coordinates,masknums)
import vis2p.*
% detect & remove duplicates
thr = 5; % threshold in microns
mtraces = mean(traces); % get mean of traces
d = squareform(pdist(coordinates)); % get pairwise distances
d(logical(tril(ones(size(d,1),size(d,2)),0)))=thr; % select upper tri... |
%% Regression test data generator
% This program should be executed at the very beginning of refactoring a
% major revision. This is for making legacy STRAIGHT v40_007d to be
% compatible with MATLAB R2015b and Octave
% Copyright(c) 2016, Hideki Kawahara, (kawahara@sys.wakayama-u.ac.jp)
clear all
close all
original_... |
%Joint angles of Wearable Jacket connected with Kinect
clear all; close all; clc;
telapsed = 0;tt = 0;lkinef = 0;font = 18;flag=0;
cd('F:\github\wearable-jacket\matlab\kinect+imudata\');
addpath('F:\github\wearable-jacket\matlab\KInectProject\Kin2');
addpath('F:\github\wearable-jacket\matlab\KInectProject\Kin2\Mex');
a... |
function plot_labcurve_rgbgamut(Lab, use_uplab)
% -------------------------------------------------------------------------
% Default inputs
if nargin<2
use_uplab = false;
end
if nargin<1
Lab = [];
end
% -------------------------------------------------------------------------
% Parameters
target_Lintv = 1;
t... |
function [center0, center1, F00,F11,hf,axs,width] =...
iq2prob_centers(iq_raw_0,iq_raw_1,auto)
% iq2prob_centers: finds raw iq centers(where probability of distribution is maximum)
% F00: the probability of |0> correctly measured as |0>
% F11: the probability of |1> correctly measured as |0>
% F01: the probability o... |
function [ht, htOSF, protosymbol] = calcChanEst(fname, btcnt, OSF, show_td_plot)
%
%% FIXME:
% 1) HARD coded preamble type
% 2) No frequency error / SFO correction
% 3) Hard code to use 60 symbols
%
% [ht, htOSF, protosymbol] = calcChanEst(fname, btcnt, OSF)
%
% Input:
% fname : DSO file name
% btcn... |
function y = SecondOrder(u)
sigma = 0.4;
y =((u.^2.-sigma^2)./(sigma^4)); |
function sendParallel( FRAME, n, trig2use, ioObj, address )
% ----- parallel trigger
if ismember( FRAME, 1 : n.trigger_frames )
TRIG = trig2use;
else
TRIG = 0;
end
for PP = 1:n.ports
io64(ioObj, address(PP), TRIG);
end
|
function ydata = tsnes_p(P, labels,X_initial)
%TSNE_P Performs symmetric t-SNE on affinity matrix P
%
% mappedX = tsne_p(P, labels, no_dims)
%
% The function performs symmetric t-SNE on pairwise similarity matrix P
% to create a low-dimensional map of no_dims dimensions (default = 2).
% The matrix P is assumed to be... |
function PlotVectorField(lon,lat,xvec,yvec,scale,Escale,pts,varargin);
%---------------------------------------------------------------------
%---------------------------------------------------------------------
%
% This function plots a horizontal vector field over the current
% axis
%
% INPUTS
%
% (lon,lat,xvec,yve... |
function Nodes = GetChebyshevNodesQuick(Number,Start,End)
% Function Name:
% GetChebyshevNodesQuick
%
% Toolbox:
% Integration
%
% Purpose:
% Produce a vector of Chebyshev nodes for use in numerical integration with
% no input checking/parsing.
%
% Uses:
%
% Nodes = GetChebyshevNodesQuick(Number,... |
function guiPD()
%% ========================================================
% PeakDecon ver 0.1
% GUI-based Peak Deconvolution with NMF algorithm
% ========================================================
% function guiPD()
% ========================================================
% This software was int... |
function r=find_ignition(f)
% r=find_ignition(f)
% finds the first frame with nodes where fire_area > 0
% arguments:
% f wrfout file name
% returns:
% structure with ignited nodes and their coordinates
p = nc2struct(f,{'Times'},{});
times=char(p.times)';
steps=size(times,1);
r = [];
for step=1:steps
p=nc2s... |
function [sumDist, segmentPoints] = segmentUpdate(inCSI, minLen, maxLen, temp)
%Update segmentation for pattern fitting
sumDist = 0;
index = 2;
start = 1;
segmentPoints(1,1) = 1;
while length(inCSI(1,start:end)) >= minLen
len = length(inCSI(1,start:end));
minDist = 10000000... |
% 熵值法确定权重，熵值法不需要目标值
% size(a,2)代表指标数
function w=entropy(a)
clc;
y=zeros(a);
[m,n]=size(a);
for i=1:n
y(:,i)=a(:,i)/sum(a(:,i));
end
s=zeros(1,n);
p=zeros(1,n);
for l=1:n
s(1,l)=0;
for j=1:m
p(1,l)=y(j,l)*log(y(j,l));
s(1,l)=s(1,l)+p(1,l);
end
end
k=(log(m))^(-1);
e=-k*... |
%% Top-k classification with tree hierarchy in Madantory Leaf Node Prediction.
%% Train a multi-class logistic regression classifier for each node,K nodes were selected and classified by classifier.
%% Usage: change the input dataSat on the top,
%% and you can change the proportion of data for training and te... |
function [s]=saveArduinoCOMPort(ports,saveFilePaths,varargin)
% This waits for data to become avaliable from the Arduino, which is processing the matlab data, this data is then saved and can be used for later analysis
% Biafra Ahanonu
% started: 07/25/11
% inputs
%
% outputs
%
%... |
bar_color = [0 0 178]/255;
clf;
family_values = countcats(categorical(family));
family_keys = unique(family);
[~, sorting_indices] = sort(family_values, 'descend');
family_values = family_values(sorting_indices);
family_keys = family_keys(sorting_indices);
% "Tenor" means tenor trombone
family_keys{strcmp(family_key... |
%MSE Im_original为原始未经污染的图，Im_modified为去噪后的图
function Image_MAE=MAE(Im_original,Im_modified)
if (size(Im_original)~=size(Im_modified))
error ('error:image sizes do not agree')
end
[m,n]=size(Im_modified);
A=double(Im_original);
B=double(Im_modified);
sumaDif=0;
for u=1:m
for v=1:n
sumaDif=sumaDif+abs(... |
function stats = analyze_dpp(cfg, fig_path, pat, sz, nets, track)
xlim_new = [nets.t(1) nets.t(end)];
if isfield(cfg.fig, 'plotpadding')
xlim_new = [xlim_new(1)+cfg.fig.plotpadding(1) xlim_new(end)-cfg.fig.plotpadding(2)];
end
ioi = xlim_new;
if isfield(cfg.fig, 'interval_of_interest') % applied after padding
... |
function [total] = makeSparsity(amps)
total = 1-((nansum(amps).^2)./(nansum(amps.^2)))/length(amps);
end |
function [R, m, v] = getML_LIPRateDist(Monk, recompute)
% get distribution of LIP spike rate during the 'ramp'. The begin and end
% time of the ramp is computed separately for each coherence by fitting a
% piecewise linear function to the average rate data within a session.
% This time is then used for computing rate f... |
function [ yhat, yhats,theta, MSEp, MSEs] = my_arx( na,nb,m,id,val)
b=m+1;
dimr=b^(na+nb);
dimc=na+nb;
W=zeros(dimr,dimc);
for j=dimc:-1:1
i=2;
d=1;
while i<=dimr
if W(i-1,j)<m && j==dimc
W(i,j)=W(i-1,j)+1;
elseif mod(d,b^(dimc-j))>0 && j<dimc
W(i,j)=W(i-1... |
%% Atmosphere Modeling and Temperature Differential Variation
%% Variables
P_SI=1.01325*10^5;%pressure in SI
RO_SI=1.225;%density in SI
T_SI=288.16;%temperature in SI
g_SI=9.81;%garvity const in SI
R_SI=287;
a1=-6.5*10^(-3);%slope in Troposphere
a2=3*10^(-3);%slope in Stratosphere
a3=-4.5*10^(-3);%slope in Mesosphere
... |
close all;
m_in = csvread('./../Data/reg_train_in.csv', 1, 1);
m_out = csvread('./../Data/reg_train_out.csv', 1, 1);
test_x = csvread('./../Data/reg_test_in.csv', 1, 1);
load('yte.mat')
xte = test_x(:,1);
t_xte = xte(xte>=2800 & xte<=3400);
t_yte = yte(xte>=2800 & xte<=3400);
x = m_in(:,1);
t_x = x(x>=2800 & x<=3400);... |
function edtffile = EDB2maketfs(edpathsfile,specorder,frequencies,Rstart,...
EDcalcmethod,edgestartcoords,edgeendcoords,edgenvecs,...
edgelengthvec,planeeqs,approxplanemidpoints,reflfactors,closwedangvec,planesatedge,elemsize,reftoshortlistE,re1sho,re2sho,...
... |
function [splits] = split_ho(X,y, opt)
% [splits] = split_ho(opt)
% Splits data into train and validation set
% INPUTS:
% -OPT: structure of options, with the following field with default values
% -X: not used
% -y: labels matrix
% set through the defopt function:
% -nholdouts
% -hopropor... |
function K = fkkt(F)
%% Fast Kramers-Kronig transform, exploiting NEXTPOW2 and built-in FFTW wrappers
%
% K[F(..)](:) = FKKT(F), built through the chain:
%
% > S[F] = hilbert(F) [Analytic-Signal]
%
% > H[S] = imag(S) [Hilbert-Transform]
%
% > K[H] = -... |
function net = trainStackAutoencoder( samples,labels,loop )
%训练栈式自编码机
[n,m]=size(samples);
n_out=max(labels);
hidden1=200;
hidden2=200;
net1=buildAutoencoder(n,hidden1);
eta=0.1;
ae_loop=400;
bitch_size=2000;
fprintf('start train autoencoder 1\n');
for lp=1:ae_loop
net1=trainAotuencoder(net1,samples,eta);
end
net2=... |
function GAS = get_gender_assortativity_per_month(Aframes,GENDERS)
birds_with_known_gender = GENDERS~=-1;
months = length(Aframes);
GAS = zeros(months,1);
for m=1:months
A = decompress_adjacency_matrix(Aframes{m});
active_birds = sum(A)~=0;
appearing_bird_set = and(active_birds',birds_with_known_gend... |
function g = recover_original_indices(groups,active)
n = length(groups);
original = find(active);
g = cell(n,1);
for i=1:n
g{i} = original(groups{i});
end
end |
% testing
% q = [pi/2 pi/3 pi/4 pi/2 pi/6];
q = [0 0 0 0 0];
twolink.plot(q);
mdl.position = q;
mdl.forwardPosition();
vis.update(); |
function resp = gen_normal_tuning(mu, s, pw, x)
% evaluate generalized normal distribution with mean mu, sigma s, and power
% p over supplied range rng
%support vector mu
x1 = repmat(x, length(mu), 1);
mu1 = repmat(mu, length(x), 1)';
resp = (pw/( 2*s*gamma(1/pw)*sqrt(2)))*exp( -abs((x1 - mu1)/( ... |
function [range] = mcrange2(true_model,option)
% Monte Carlo approximation for the range between summary statistics
nSims = 10000;
% data
data = forward_grav(true_model);
observed_summaries = variablesummaries(data,data,option);
summary_container = zeros(nSims,length(observed_summaries));
distance_container = zeros... |
path = 'data\bruteforce\';
circle_size = 5;
min_x = -567;
min_y = -1;
max_x = 680;
max_y = 99;
scale = 16;
width = (max_x - min_x) .* scale;
height = (max_y - min_y) .* scale;
im = zeros(height, width, 3) + 0.3;
aniso_thresh = 0.5;
psi6_thresh = 0.75;
phi_thresh = 0.4;
range = -0.15:0.0... |
function [certaintyThreshold, maxFoM] = certainityThresholdCFCMC(classifier, sim)
% compute certainty threshold defined in Chapter 7.1.2 in the dissertation
% first extract validation set saved in classifier object
validX = classifier.ValidationSet(:,1:end-1);
validGT = classifier.ValidationSet(:,end);
% classify vali... |
% A script that runs a semiimplicit and an implicit method on the Burgers
% equation.
h = 1/100;
T = 50;
k = 1/300;
eta = .005;
x = transpose(0:h:2*pi);
f = x - pi;
D = center_diff(length(f));
Laplace = right_diff(length(f)) * left_diff(length(f));
tic
% Comment the next line out when using the implicit method
% inve... |
%% Load data
% [Data,Lx,Ly] = daRead12('as_3.2p.da', 0);
% [Data,Lx,Ly] = daRead12('MJ4_39.da', 0);
Data = OpenNarayan;
%% Bandpass
[Bandpassed] = bandpass(Data);
%% Plot voltage over time
DataToPlot = Bandpassed;
Fps=40;
iPlot = 1;
StepSize = 15;
figure
xAxis=[1:size(DataToPlot,3)]*(1/Fps);
% x=30;
% y=30;
% xMi... |
function graph = image_to_graph(image_path)
raw_image = imread(image_path, 'png');
end |
clear;
rec = true;
if rec
recObj = audiorecorder;
disp('Start speaking.')
recordblocking(recObj,7);
disp('End of speaking.');
x = getaudiodata(recObj);
Fs = recObj.SampleRate;
else
load('handel');
x = y;
clear y;
end
sound(x, Fs);
pause;
b = [1];
tau = 0.05;
D = tau * Fs;
a = [1,zeros(1... |
function strBest = bestMusic(cellVar)
strBest = 'i feel so attacked right now';
end |
U = 0:0.01:10;
sp = SolarPanel(1.2129, 0.69);
I = sp.current(U);
UI = [U;I]';
P = sp.current(U).*U;
UP = [U;P]';
[Pp,Np] = max(UP(:,2));
Up = UP(Np,1);
Ip = UI(Np,2);
plot(U,I, 'Color', [0 0.25 1]);
hold on
plot(U,P, 'Color', [0.5 0.75 1]);
plot([Up,Up], [Pp,Ip], 'ro');
line([Up Up], [0 Pp+1], 'Color', [0.5 0.5 0... |
% THIS IS THE MAIN SCRIPT, THE PROGRAM STARTS AND ENDS HERE.
%% environment variables
data_path = '../data/';
results_path = '../results/';
result_name = 'ec_model';
%% use a dialog to get the image
answer = questdlg('What type of image are you supplying?', ...
'Image Type', ...
'Photo', 'Screenshot','Screenshot');... |
D = dir('*.png');
size = 500;
imcell = cell(1,numel(D));
for i = 1:numel(D)
imcell{i} = imresize(imread(D(i).name),[size size]);
end
%%
hogVector = [];
for k = 1:numel(D)
hogVector = [hogVector; extractHOGFeatures(imcell{k})];
end
%%
class = [ones(1,7), -1*ones(1,6)]';
SVMModel = fitcsvm(hogVector,class,'Kern... |
% This routine plots the various MMS solutions.
close all
clear all
%______________ Initializtion
mms_solution = 3; % 1 = Randy's
% 2 = Ann Almgren
% 3 = "Code verification by the MMS" SAND2000-1444, pg60
% Steady state solution
if(m... |
if ~exist('mcigncn1','var')
load mcigncn1
end
if ~exist('igncn1','var')
load igncn1
end
Elem={'U','Th','K2O'};
agemin=0;
agemax=4000;
nbins = 40;
rsi=[40,80];
data = struct;g
for i=1:length(Elem)
test=mcigncn1.SiO2>rsi(1)&mcigncn1.SiO2<rsi(2)&mcigncn1.Elevation>-100&~isnan(mcigncn1.(Elem{i}));
[c,m,e... |
function CPdispSIRs(sirs)
%%function CPdispSIRs(sirs)
% sirs is a matrix
% column j denotes the averaged sirs of each component in mode-j
global NumOfMode NumOfComp tdalabStatus;
fprintf('## SIRs of each Comp.:\n');
LNOC=max(NumOfComp);
hstr=' ';
for n=1:NumOfMode
hstr=[hstr,' Mode ... |
% inputs = load('6pointsinputs.txt');
% labels = load('6pointsoutputs.txt');
inputs = load('fg_inputs.txt');
labels = load('fg_outputs.txt');
[rows, cols] = size(inputs);
data_matrix = zeros(rows, cols+1);
test_runs = 20;
weights = zeros(test_runs, cols+1);
bloss = zeros(1, test_runs);
hloss = zeros(1, test_runs);
log... |
%%Plot heat capacity from energy fluctuations C~ sE^2 K^2 where sE is
%mean-square fluctuations in Energy
%% Get energy fluctuation data
%[file, path] = uigetfile("*.txt");
%file_path = strcat(path, file);
%E = readmatrix(file_path);
%k = [0.001 0.3 0.44 0.5 1 1000];
%k = [0.001 0.05 0.1 0.15 0.2 0.25 0.3 0... |
clear; clc; close all;
[KSpace1] = imagedomain(5, 5);
[KSpace2] = imagedomain(-2,2);
[KSpace3] = imagedomain(5, 0);
[KSpace4] = imagedomain(0, 5);
[KSpace5] = imagedomain(2, 2);
[KSpace6] = imagedomain(-5,5);
[KSpace7] = imagedomain(1, 1);
[KSpace8] = imagedomain(-1, 3);
[KSpace9] = imagedomain(-3, 2);
[KSpac... |
% convert a saliency map into a map of colored level sets under the
% specified color map
% Zoya Bylinskii, April 2016
% linked to: "What do different evaluation metrics tell us about saliency models?"
function salMap_col = makeLevelSets(salMap, threshes, colmap)
% salMap is a saliency map (distribution)
% threshes i... |
function [M] = backgroundmask(I)
% function [M] = backgroundmask(I)
% function to mask the background of an image, I
% input: I, the grayscale image to find the background of
% output: B, the background of I
% method: find 'objects' in I, mask them from the image, fit the remaining
% pixels with an ellipse, subtr... |
function [tsi] = load_tsi_database
tsi = {};
% TAKEN FROM S. Dooley et al. / Combustion and Flame 159 (2012) 1444?1466
tsi.NC12H26 = 7;
tsi.IC8H18 = 6.8;
tsi.TMBENZ = 62;
tsi.NPBENZ = 53;
% TAKEN FROM Li et al. / Combust. Sci. Technol., 184: 829?841, 2012
tsi.C6H6 = 28;
tsi.C7H8 = 36.14;
tsi.MCYC6 = 4.28;
end |
function [mapping,components] = estimate_components_stable(endmembers, options)
%ESTIMATE_COMPONENTS_STABLE Summary of this function goes here
% Detailed explanation goes here
options = insert_param_when_absent(options,'reduced_dim',10);
mapping = calc_projection_from_library(endmembers, options.reduced_dim);
disp... |
function specview(action,data)
%SPECVIEW View spectrum and signal approximation
%
% Show spectrum and approximated signal. Give access to phasor phactory.
%
% specview(action,data)
%
% Data not used yet
if (nargin<2) data = []; end;
% Default action is to initialize the whole thing
if (nar... |
function [ p, Phi, R, A ] = cindir( q, EulerAngles )
%cindir This function allow the computation of the position and orientation
%of the end-effector of the manipulator.
%Intputs: - q: the values of the variables of each joints of the
%manipulator (dim = (8x1))
% - EulerAngles: the type of Euler angles that w... |
close all;clear;
%
% x = 1.5; nmax = 25; eps = 1; xvals = x; n = 0;
%
% while eps >= 1e-5 & n<=nmax
% y = (x-sin(x)+x*cos(x))/(2*cos(x)-x*sin(x)); xvals = [xvals;y]; eps =
% abs(y-x); x = y; n = n+1;
% end plot(xvals);hold on;
% plot(1:length(xvals),sin(xvals)+xvals.*cos(xvals),'r')
x1_ = 1.e3;
x2_ = 1/900;
nma... |
function [h, centerbins, out] = plot_loglog(x, y, linespec, pas)
if nargin<3
linespec = '*';
end
if nargin<4
pas = 1;
end
edgebins = 2.^(0:pas:12);
sizebins = edgebins;
sizebins = edgebins(2:end) - edgebins(1:end-1);
sizebins(end+1) = 1;
centerbins = edgebins;
% centerbins(2:end) = (edgebins(2... |
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% B : Matrice (nP x nP) de la forme A\Mc
% Fc : Vecteur (nP x 1) du laser
% U : matrice de la temperature dans la plaque
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
function [ U ] = Usolve(A, Mc, Fc, nP, niter, niter_laser)
%%% Condition initiale %%%
U = zeros(nP, niter);
%%%%%%%%%%%... |
function hip_x_grad = hip_x_grad(in1)
%HIP_X_GRAD
% HIP_X_GRAD = HIP_X_GRAD(IN1)
% This function was generated by the Symbolic Math Toolbox version 8.5.
% 24-Apr-2020 12:32:12
q1 = in1(:,1);
q2 = in1(:,2);
t2 = q1+q2;
t3 = sin(t2);
t4 = t3.*(2.0./5.0);
t5 = -t4;
hip_x_grad = [t5-sin(q1).*(4.3e+1... |
function wellqc(wellname)
if strcmp(wellname,'SS160')
minz=0;
maxz=6000*3.28084;
data=loadlas('177114095100_Orig+Edit+RckPhys.las');
kb=94.5;
wdepth=50;
figure
plot(0.3048e6./data.dt_ed7,(data.depth-kb-wdepth))
set(gca,'Ydir','reverse')
xlabel('Vp (m/s)')
ylabel('Depth (m)')
... |
#
#Funcao para receber os dados dos tiros dos jogadores
#Autor: Lucas Xavier de Morais
# Jun - 2019
#
function [v0 alpha] = dadostiro()
while 1
tiro = inputdlg({'Velocidade inicial','angulo em graus'},'0 < v0 <= 100 e 0 < teta < 180');
v0 = str2num(tiro{1});
alpha = str2num(tiro{2});
i... |
close all, clc, clear;
%% Analyzes the results
dw = load('data_90_200_Nant_4');
dm = load('data_90_100_Nant_4');
ds = load('data_40_50_Nant_4');
% The smallest wavelength (derived from highest frequency)
lambda_min_w = dw.data.lambda_min;
lambda_min_m = dm.data.lambda_min;
lambda_min_s = ds.data.lambda_min;
% Physica... |
fileID = fopen('MeterID14.txt');
A = textscan(fileID,'%s %s %d64 %d', 'delimiter',',');
fclose(fileID);
date = A{1};
time = A{2};
energyConsumption = A{3};
startEnergy = energyConsumption(1);
energyConsumption =energyConsumption - startEnergy;
day1Consumption(1)=energyConsumption(1);
for k=2:2881
day1Consumpti... |
function dGrf_toe_c4_q1 = dGrf_toe_c4_q1(in1,in2,Fx,sampT)
%DGRF_TOE_C4_Q1
% DGRF_TOE_C4_Q1 = DGRF_TOE_C4_Q1(IN1,IN2,FX,SAMPT)
% This function was generated by the Symbolic Math Toolbox version 8.5.
% 17-Oct-2020 02:27:13
q_t1 = in1(:,1);
q_t2 = in1(:,2);
q_t3 = in1(:,3);
q_t4 = in1(:,4);
q_t5 = i... |
% Useful reference functions from assignments.
cfg = [];
cfg.method = 'mtmconvol';
cfg.taper = 'dpss';
cfg.tapsmofrq = 2;
cfg.output = 'pow';
cfg.keeptrials = 'yes';
cfg.foi = [4:50];
cfg.t_ftimwin = ones(length(cfg.foi),1).*0.5;
cfg.toi = -0.5:0.05:1;
TFRhigh = ft_freqanalysis(cfg,hpdat);
cfg = [];
cfg.baseline = [];... |
# Q1_a DFS, IDFS, DFT, IDFT
x1=[4,1,-1,1];
N1=4;
Ydfs=dfs(x1,N1)
Yidfs=idfs(x1,N1)
Ydft=dft(x1,N1)
Yidft=idft(x1,N1)
#Q1_b:
x2=[2,0,0,0,-1,0,0,0];
N2=8;
Y2dfs=dfs(x2,N2)
Y2idfs=idfs(x2,N2)
Y2dft=dft(x2,N2)
Y2idft=idft(x2,N2)
#Q1_c:
x3=[1,0,-1,-1,0];
N3=5;
Y3dfs=dfs(x3,N3)
Y3idfs=idfs(x3,N3)
Y3dft... |
function [CORR_IM, MASK] = vuDistortionCorrection(X, FieldMap, varargin)
% vuDistortionCorrection performs a distortion correction estimation
% using a field map. FieldMap should contain valid field map data only, by
% running original fieldmap data through vuBrainExtractor.
%
% SYNTAX:
% [CORR_IM, MASK] = vuD... |
function [error] = supervised(odata,olabel,round)
error=0;
i=round;
while(i~=0)
data=odata;
label=olabel;
class1=find(label==1);
[nrow,nlen]=size(class1);
tmp=randperm(nrow,8);
ls1=data(class1(tmp),:);%labeled data
data(class1(tmp),:)=[];
ls1l=double(label(class1(tmp),:));
... |
% compute_TF_means.m
%
% Wrapper script for the main Time-Frequency (TF) analysis portion of the
% main pipeline.
%
% This script computes the TF signal (filtered) and then computes the
% z-score signal (where the baseline of the signal is used as the
% distribution to compute the z-score of the rest of the erp signal... |
function acceleration = ForwardDynamicSolver(joint, jointVelocity, tau)
M = zeros(7,7);
C = InverseDynamic(jointVelocity, joint, [0; 0; 0; 0; 0; 0; 0]);
for n = 1:7
a = [0; 0; 0; 0; 0; 0; 0];
a(n) = 1;
s = (InverseDynamic(jointVelocity,joint ,a) - C);
M(n, n) =... |
% Steepest descent algorithm with steepest descent direction Bk-df with Bk = I
% f = @(x1,x2) (x1^2 + x2 - 11)^2 + (x1 + x2^2 - 7)^2
% df = {@(x1,x2) 2*x1 + 4*x1*(x1^2 + x2 - 11) + 2*x2^2 - 14}
% {@(x1,x2) [2*x2 + 4*x2*(x2^2 + x1 - 7) + 2*x1^2 - 22}
% They are defined in solution 2_0
%This initiates f, ... |
function mean_shape = calc_meanshape_68(root_path,nameList,num_pts )
% fid = fopen(shapepathlistfile);
% shapepathlist = textscan(fid, '%s', 'delimiter', '\n');
% if isempty(shapepathlist)
% error('no shape file found');
% mean_shape = [];
% return;
% end
% shape_header = loadshape(shapepathlist{1}{1});
... |
function [dist, U, train_b, test_b] = compare_samples(training, test_data, information)
%COMPARE_SAMPLES Compare the test_data samples to the training data samples
% using PCA. The dist matrix returned is a N x M matrix where N is the
% number of training samples and M is the number of test samples. The value
% at dist... |
%% EvaluateDecadalMissions.m
% RBES_Init_Params_Decadal;
% [r,params] = RBES_Init_WithRules(params);
%% Tier I missions
mission_set{1} = create_test_mission('CLARREO',{'CLAR_TIR','CLAR_VNIR','CLAR_GPS'},2015,8,[]);% CLARREO
mission_set{2} = create_test_mission('SMAP',{'SMAP_RAD','SMAP_MWR'},2015,8,[]);% SMAP
mission_... |
tmp = params.instruments_to_subobjectives.entrySet.iterator;
while(tmp.hasNext)
a = [a tmp.next.getValue];
end |
function GG_v=g2_update(m,n)
G_1=speye((m-1));
G_2=sparse((m-1),1);
G_3=sparse(1,(m-2));
G_uint1=[-G_1,G_2]+[G_2,G_1];
G_uint2=[1,G_3,-1];
G_4=speye(n);
G_5=[G_uint1;G_uint2];
GG_v=kron(G_4,G_5);
|
function[E Vout] = fiber2edge(F,V)
%FIBER2EDGE - converts a fiber array to an edge array, where the vertices
%of the edge array are the points of intersection of the fibers
if isempty(F)
E = [];
Vout = [];
return
end
ei = 0;
for i=1:length(V)
Vout(i).v = [];
Vout(i).e = [];
Vout(i).f = [];
end
... |
function[counter] = ...
congestion(G, new_particles, full_soc, install, num_time_steps)
%%G is a directed graph
%function[soc, new_occupied, counter, occupied_dic, occ_size] = ...
% congestion_time_step(G, soc, full_soc, new_occupied, counter, occupied_dic, ...
% occ_size, install)
n = G.numnodes;
occupied_... |
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