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function [cd] = SDC (Re)
% Implementation of the Standard Drag Curve from 'Bubbles, Drops and
% Particles', R. Clift - 1978 (pag. 112)
cd = zeros(1, length(Re));
w = log10(Re);
for i = 1:1:length(Re)
if Re(i) < 0.01
cd(i) = 3/16 + 24/Re(i);
elseif Re(i) >= 0.01 && Re(i) < 20
cd(i) = 24/Re(i) * (1... |
f = 0:10:100;
u = [0 77 155 232 309 386 386 386 386 386 386];
plot(f,u)
xticks([0:10:100]);
yticks([0:50:400]);
xlabel('f/Hz');
ylabel('UL1,A/V');
grid('on')
matlab2tikz |
function [shannon_rate] = DataRate_Shannon(P_RX)
%This function computes the Shannon limit's achievable data rate
load global_params_incr;
% if(P_RX < P_RX_min)
% shannon_rate = -10;
% rate_lower = -10;
% 'Unreachable Node - RX Power lower than Control Reqd.'
% return;
% end
P_RX = 10^(P_R... |
%Created by Maxim Yatsenko and Milan Brankovic
%THIS CODE CREATES A NUMBER OF SYNTHETIC EVENTS ON WHICH WE TRAIN OUR CODE.
%VARIABLES i1, i2 and i3 DETERMINE NORMAL DISTANCE FROM SOURCE TO RECEIVER
%LINE, VERTICAL POSITION, AND ANGLE OF FRACTURE OPENING.
%FOR EACH EVENT, POSITION AND ANGLE ARE RECORDED IN VARIABLE d... |
clear all
clc
% S0 S1 S2
Pa= [ 0.5 0 0.5; %S0
0.7 0.1 0.2; %S1
0.4 0 0.6]; %S2
% S0 S1 S2
Pa(:,:,2)=[ 0 0 1; %S0
0 0.95 0.05; %S1
0.3 0.3 0.4]; %S2
... |
function VisualizeMode(no2xy, el2no, vtr_Fz,label)
% Function:
% VisualizeMode(no2xy, el2no, vtr_Fz)
% Arguments:
% no2xy = the coordinates of the nodes
% el2no = the nodes of the triangles
% vtr_Fz = z-component of the eigenmode
% Returns:
% -
% Comments:
% Visualizes the z-component of the eigenmode toge... |
function [out,fesx,fesy,Xtest_out,Ftest_out,itest_out]=glisp_function2(x,y,f,comparetol,g_unkn)
% Preference query function. Along with either satisfactory or feasibility
% constraints (but NOT both, if the problem include both satisfactory AND feasibility constraints,
% use 'glisp_function3.m' instead)
%
% pref=glisp_... |
classdef ProgramsGenerator < Generator
%This class iteratively generates all of the ways to pick one program
%in each machine.
properties
num_machines
M %M(i) = the number of programs in machine i
end
methods
function obj = ProgramsGenerator(M)
obj.num_machi... |
clear all;
close all;
warning off;
divider = sprintf('<----------------------------------------------->');
disp('Welcome to the first project!');
disp(' ');
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% Input %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%%%%%%%%%%... |
clear all;
close all;
%%%%%%%%%% A Completer %%%%%%%%%%
PathImage = '../Base/';
nom = 'Paysages67.png';
% Quantif HSV : Completer avec votre nombre de bins
nH = 34;
nS = 34;
nV = 34;
filename= nom;
I=imread([PathImage,filename]);
I=double(I);
I = I ./ 65535;
figure();
imagesc(I);
% conversion RGB->HSV
J = rgb2h... |
function [results, store_params] = run_sims_correct_model(numSubs, numRounds,rews)
params = zeros(numSubs, 8);
store_params = zeros(numSubs, 9); %stores params for exporting
results_counter = 0;
%Loop through subjects
for j=1:numSubs
participant_id = j;
%generate params
beta = ran... |
function X_estimate=PoissonMBMtarget_estimate3(filter_upd)
%Author: Angel F. Garcia Fernandez
%We select the hypothesis (with fixed cardinality, i.e. considering MBM01 expansion) with highest
%weight
if(~isempty(filter_upd.globHyp))
globHyp=filter_upd.globHyp;
globHypWeight=filter_upd.globHypWeight;
... |
%Name:
% clockwisePoly
%
%Purpose:
% This program organizes a set of vertices in clockwise order
%
%Parameters:
% V - (#vertices x 2) vertex matrix giving each vertex's X and Y coordinates
% middleV - (1 x 2) vertex know to be inside our shape
% n - number of vertices to reorder
%
%Return Values:
% ... |
%% MPCC_policypath
% script that updates variables used when solving a time path
rr = paths.rr_t(tt);
w1 = paths.mu_w_t(1,tt);
w2 = paths.mu_w_t(2,tt);
s1 = paths.sigma_w_t(1,tt);
s2 = paths.sigma_w_t(2,tt);
s_bl = paths.s_bl_t(tt);
% Update Rates
MPCC_update_rates;
% Update to include borrowing constrai... |
pkg load symbolic;
clc;
clear all;
syms x;
eqn = ((x - 3)^2) * (x - 7) == 0;
S = solve(eqn);
ans = double(S);
ans
|
%Ranjeeth KS, University of Calgary
% SYnchrozization: From 490977th second between Xbow data, INSPVAS, Carship
% Reference: 1st values of INS_PVA
% g, Rn and Rm are updated in every loop,
% bias values from first project, no bias or SF removed for Xbow gyro Wz
% in 1 Hz rate
% nova_wz(te)*cos(p)*cos(r) 0.02... |
% Function that takes the map image and outputs a thresholded version
% according to its histogram. Threshold occurs in the first valley.
function [I_out2, TT] = valley_hist(I_out, HIST_LENGTH)
[N, X] = hist(I_out(:), HIST_LENGTH);
%Append the first signal twice to the left of the histogram, and the
%last twice... |
% -------------------------------------------------------------
% VTD_landscape_model_nosignal_v1 jacobian
% -------------------------------------------------------------
% generated by change_model_for_jacobian on 06-Jun-2019 10:30:00
function jac = VTD_landscape_model_nosignal_v1_jac(t,y,p)
%Mode... |
function [Ypredict] = EstimateParametersFromNNmodel(Xtest,net,gpu_opt)
if ~exist('gpu_opt','var')
gpu_opt = 'auto';
end
%%
Ypredict = predict(net,Xtest','ExecutionEnvironment',gpu_opt)';
end
|
function cvx_optval = optimal_p_noAV(n,xi,beta)
A = S2C_matrix(n,xi);
% A = [0,0.2,0.8;0.4,0,0.6;0,1,0];
cvx_begin quiet
variables p(n,1) delta(n) y(n,n)
maximize(sum(p.*(1-p))-sum(delta))
subject to
sum(y,2) == transpose(beta*(sum(A.*((1-p)*ones(1,n)),1)+sum(y,1)))+delta-(1-p)
p >= 0
... |
function samples=sampleDiscreteDistributions(distributions,nr_samples,values)
%samples=sampleDiscreteDistributions(distributions,nr_samples,values)
%This function draws nr_samples from each of the distributions specified by
%the rows of the distribution matrix and the values vector.
%distributions: matrix of probabilit... |
%%function CC_mk3plus_wrap
CC_root = '/space/mdeh7/1/halgdev/projects/bqrosen/CC/';
subj = 'CCEP0026';
runs = [1:4];
%% load PC data
fname = sprintf('%s/out/%s/%s_runs_%2.2i-%2.2i_PC_data.mat',CC_root,subj,subj,runs(1),runs(end));
PC = load(fname);
savedir = sprintf('%s/out/%s',CC_root,subj,subj);
ballsize = 120; %... |
function [ax,mx,stdx,msg] = auto(x,options)
%AUTO Autoscales matrix to mean zero unit variance.
% INPUT:
% x = MxN matrix to autoscale.
%
% OPTIONAL INPUT:
% options = structure array with the following fields:
% offset: scales by stdx+offset {default = 0}:
% if (off... |
close all;
ind = find(post==max(post));
ind = ind(1);
resmpl = samplestage(ind,:);
xf = linspace(1,22,22);
yf = 11:-1:1;
[xfault,yfault] = meshgrid(xf,yf);
zfault = zeros(9,22);
p = xfault(:); q = yfault(:);
rowp = size(xfault,1);
colp = size(xfault,2);
numpatch = 2*(rowp-1)*(colp-1);
trired = [];
for i = 1: col... |
% Homework 7 Part 2
% CIC Decimation Staged Filter
% Macky McWhirter
clear all;
close all;
% Toneramp
[x,fs] = audioread("toneramp.wav");
% CIC Filter 8 coefficients
b = [ -1, -1, -1, -1, -1, -1, -1, -1];
a = 1;
% Cascade the two filters
H1 = dfilt.df2t(b,a);
H2 = dfilt.df2t(b,a);
h = dfilt.cascade... |
function [w,b] = LRC(x,y)
y= double(y);
[nrow,nlen]=size(x);
meanX=mean(x);
w=sum(y.*(x-meanX))./(sum(power(x,2))-(1/nrow)*power(sum(x),2));
b= (1/nrow)*sum(y-x*w');
end
|
function dx = odefun(t,x)
dx = fq(x,1);
end
|
function ShowSSQR()
% function ShowSSQR()
% Illustrates the efficeint computation of the QR factorization of
% a semiseparable matrix.
% GVL4: Section 12.2.7
% Generate an example...
n = 6;
u = randn(n,1);
v = randn(n,1);
p = randn(n,1);
q = (u.*v)./p
A0 = tril(u*v') + triu(p*q',1);
b = randn(n,1);
% C... |
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% Copyright 2018 Crypto4a Technologies Inc.
%
% 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,... |
T_inits = logspace(-2,2, 10);
alphas = linspace(0.05, 0.95, 5);
data = zeros(length(alphas), 4);
% For plotting alpha vs. iterations
for j = 1:length(T_inits)
T_init = T_inits(j);
for i = 1:length(alphas)
alpha = alphas(i);
[m_iterations, m_obj] = SA(T_init, alpha, 1);
k = i + (j-1)*len... |
%% QUICKMI - quick mutual information calculation
% Calculates the mutual information between two variables. The data can be
% continuous or discrete. If the data is single trial, the mutual
% information is calculated through time. If the data is trial based, the
% mutual information is calculated at each time poi... |
%% This script is to evaluate the impact of flexiblity of interactive workload on the grid.
% The idea is, we can reduce the power consumption of data center by
% degrading the quality of service (such as delay) of serving interactive
% workload.
% Discription: Given flexibility of delaying interactive workload, how t... |
function [sol, nnode, nel, nmat] = parseOutput(filename)
% [dofv, nnode, nel, nmat] = parseOutput(filename)
% this function will not parse input data (nodes, el, mat, BC, etc)
% it will only parse the computed nodal displacement
nodeHeader = ' NODAL DATA (#,X,Y,Z,K1 THRU K6,F1,F2,...)';
eleHeader ... |
function mutual_Info(vect, training_label,name )
H = containers.Map();
H('s') = find_Entropy(training_label);
check = isEmpty(vect);
check = ~check;
vect = vect(check,:);
[~,~, vect] = unique(vect);
result = training_label(check,:);
key = strcat('s#',name);
H(key) = condEntropy... |
function data2packets(s, event, packetPort)
%data2packets(s, event, packetPort)
%
%%%%THis implementation was made to read variable length packets!!
%%%%it is also an old inefficient method of start symbol searching
%%%% overall, inefficient!!!
%
%this function is called when a dataPort fills it's buffer.
%
%the func... |
function [k] = R238_246(Te)
load('../lookup_files/R238-246.mat');
a1 = par238_246(:,1);
a2 = par238_246(:,2);
a3 = par238_246(:,3);
a4 = par238_246(:,4);
a5 = par238_246(:,5);
a6 = par238_246(:,6);
e = 1.60217e-19;
k_B = 1.38064e-23;
T = Te.*(e/k_B)/10^3; % T' = param... |
function playedStages = playedStages(startsAt,stage)
%Function to find what stage was played
playedStages = cell(size(startsAt,1),1);
%This goes to the beggining of a stage, and checks what is the most repeated predicted stage in the next frames
for i=1:size(startsAt,1)
arr = stage(startsAt(i):(startsAt(... |
function [featuresGroup, classesGroup, additionalGroup] = selectGroup(features, classes, additional, GroupOptions)
% Selects only certain datasets from the dataset.
% Options in GroupOptions are:
% classBased: 0 when valid is an vector of dataset indices, 1 when the
% certain classes should be selected.
% valid: When ... |
function val = intersite_proj_th(dmin, X,p)
% intersite proj TH method
for i=1:size(X,1)
if norm((X(i,:) - p),-inf) < dmin
val =0;
end
end
val = inf;
for i=1:size(X,1)
calc = norm(X(i,:) - p);
if calc < val
val = calc;
end
end
end |
clc
close all
clear all
%Experimental setup
%-----------------
%Control Variables pt1
n_iter=20;
N_set=[20,50,100];
num_fig=1;
n_sigma_set=[1e-3,0.1];
%---------------------------Noisy case begins here-------------------------
sparsity_flag_set=[0,1];
%_____________________________________________... |
function [R10, R01] = points2rot(P,Q,R)
% Computes the rotation matrices matrix whose column vectors are the
% coordinates of the (unit vectors along the) axes of frame o1x1y1 defined
% by P,Q,R expressed relative to frame o0x0y0
%Now the normal vector to the plane can be calculated through the cross
%product of vect... |
function [skin_mask] = filter_skin(frame)
% Skin Tone Filter
% INPUT: a single RGB frame for skin tone processing
% OUTPUT: binary mask of same size representing skin tone
% for display purposes, temporarily store unsigned int values.
[framex framey framez] = size(frame);
if (framex == 0) || (framey == 0) || (framez =... |
% load('circledata.mat');
clear;
load('Orig.mat')
% rng(9999);
%[L, idx, D1, D2] = getSparseBipartite(fea, 1000, 3, 'uniform');
[L, idx] = getBipartite(fea, 200);
[n,d] = size(L);
k = 11;
nlabel = 10;
npass = 10;
% shared starting point
X_0 = randn(d,k);
[X_0,~] = qr(X_0, 0);
clear opt;
opt.npass = 1;
opt.batchsi... |
function [deltaField] = subtractField(FGfield, BGfield, ver)
% 3d field subtraction code
% align
progressBar = waitbar(0, 'Aligning and subtracting image passes');
depth = size(FGfield, 3);
for i = 1:depth
[BGfield(:, :, i), success] = stabilizePair(FGfield(:, :, i), BGfield(:, :, i));
waitbar(i/(depth + 1), p... |
function x1=stepit(dxdt,x,dt)
k1=dt*dxdt(x);
k2=dt*dxdt(x+k1/2);
k3=dt*dxdt(x+k2/2);
k4=dt*dxdt(x+k3);
x1=x+(k1+2*k2+2*k3+k4)/6;
end |
function [w,index] = extractWaveforms(x, s, win)
% Extract spike waveforms.
% [w,index] = extractWaveforms(x, s) extracts the waveforms at times s (given in
% samples) from the filtered signal x using a fixed window around the
% times of the spikes. The return value w is a 3d array of size
% length(window)... |
nyListe = ['9489394', '39492849', '49284929', '4929493'];
indeks=0;
for i=100:-10:10
indeks=indeks+1;
fprintf('%d.%s.%d',indeks,nyListe(rand([indeks 4])),i);
end |
function LOC = random_location(Poly_,N)
%% random_location generate random points a polygons
%
% INPUT: Poly_ = boundary file in format of 'polyform.m'
% N = number of points a polygon.
% OUTPUT: LOC = vector of all points
%% Author Nazanin z. Kermani, Imperial College London 2016
LOC = zeros(N,2) ;
% Defin... |
function exectime = matmult(n)
addpath /usr/local/jacket/engine
a = gsingle(rand(n, n, 'single'));
b = gsingle(rand(n, n, 'single'));
tic
for i=1:5
z = a * b;
end
exectime = toc;
|
function [a,fL4]=transform_3d_cfp8B(a,k)
a=double(a);
%-----------------------------------------------------------------------
M=8;
N=size(a); w=floor(N(1:2)/M);
Lev=3; H=zeros(1,Lev); W=H;
H(1)=w(1); W(1)=w(2);
for ia=1:Lev-1
H(ia+1)=ceil(H(ia)/2); W(ia+1)=ceil(W(ia)/2);
end
tanTheta=1/8; lev=2;
for ia=1:9... |
clear all; close all; clc;
load('DATA_NEW_FEAT');
CONDATA = [];
for i = 1:length(DATA)
for j=1:length(DATA{i})
CONDATA = [CONDATA ; DATA{i}{j}];
end
end
[IDX] = kmeans(CONDATA,10);
temp = 1;
for i = 1:length(DATA)
for j=1:length(DATA{i})
s = size([DATA{i}{j}],2);
k = size([DATA{... |
%SETGAIN adjust the gain of individual playback channels
%
% [err] = setGain(channels, gains)
%
% The parameter channels is a vector of channel numbers and the vector
% gains contains the new values for the corresponding gains.
% On failure the function returns an error string describing the problem.
%
% Examples:
% ... |
classdef Robot3D
%ROBOT Represents a general fixed-base kinematic chain.
properties (SetAccess = 'immutable')
dof
dhp
h
plate
a_scale
end
methods
% Constructor: Makes a brand new robot with the specified parameters.
function robot = Robot... |
%10
clear all
load('boston.mat');
%generate random indexes to select from boston dataset for training set and
%test
randIndex=randperm(506);
limit=round(length(boston)/3);
%mix original dataset
mixBoston=boston(randIndex,:);
train=mixBoston(1:337,:);
test=mixBoston(338:end,:);
%initialize arrays for sigma and gamma
g... |
function [ out ] = cubesatflight(t,in)
% This function evaluates a cubesat's flight and determines it's transient
% behavior based upon a passive magnetic stabilization system
% All work based upon Gerhardt and Palo 2010 paper
out = ones(6,1);
%% Constants
%Important values
mu0 = 1.256637e-6; %Vaccuum permeability
Aer... |
% Générateur de messages aléatoires en binaires
% *********************************************
%
% Génère une suite de N bits, chacun étant répété bitRepete fois.
function [Message,msgCache,msgClair] = genMessage(bitRepete,N,varargin)
if ~(bitRepete == round(bitRepete)) || bitRepete < 0
error('La répétition d''u... |
%test stub for pipline code, run this using matalab < input.m > output.log
Patient_ID='20111007';
Study='20120504';
ScanRange=33:40;
T1_runno='B99999test';
DCE_T1map(Patient_ID, Study, ScanRange, T1_runno);
|
function sets = clean_sets(sets,method,scale,varargin)
switch method
case 'normal'
for j = 1 : length(sets)
% y = sets(j).y_values;
sets(j).y_values = sets(j).y_values - mean(sets(j).y_values);
% y = y - mean(y);
sets(j).y_values = ( sets(j).y... |
function tileH5mva(gc,mva,comps)
%tileH5mva - tile the results of mva in an image, filing the empty gaps as
%required...
% What are we to plot in the images?
if nargin == 2
comps = [1];
end
% Tiling arrangement.
numCol = 12;
% How many files are there?
numF = size(gc.fn,1);
% Determine image sizings
[numRow,pix... |
function integrated_field = Tint(tvec,field);
%---------------------------------------------------------------------
%---------------------------------------------------------------------
%
% This function time integrates the time series/series' in field (time
% must be last dimension) and returns a vector of the time ... |
function newState = oneStep2D_2(dFunc,oldState, colonyIdx, colonyOutIdx)
global userParam
kdOut = userParam.kd1;
dx = userParam.dx;
dt = userParam.dt;
Dc = userParam.Dc;
ki = userParam.kI2;
%% calculating diffusion terms
si = size(oldState);
diag = 0;
diffFilter = [diag 1 diag; 1 -4-4*diag 1; diag 1 diag];
NC = si(... |
% Lab 3 Part 2
%% 2.1 Record, graph, and play your voice.
n = 5; % seconds
fs = 20000; % 20 kHz
b = 8; % bits
channel = 1;
% Recording sound
x=record_sound(n,fs,b,channel);
% Plotting voice
plot(x);
% Generating DFT of voice
[f,X,f_c,X_c]=dft(x,fs);
% Plotting DFT of voice
figure
mx = abs(X_c);
plot(f_c,mx);
% Playin... |
function [inputSignals, inputBus, opt] = DriverAndEnvironment_road_grade_pattern(nvpairs)
%% Road Grade Pattern Input Signal
% Copyright 2021 The MathWorks, Inc.
arguments
nvpairs.InputPattern (1,1) {mustBeMember(nvpairs.InputPattern, {...
'all_zero' ...
'flat' ...
'uphill_3_percent' ...
'do... |
function workpath=puller(runno,datapath,scanner,overwrite)
%check arguments
if nargin<3
error('not enough input arguments');
elseif nargin==3
overwrite=0;
elseif nargin~=4
error('too many input arguments arguments');
end
%find local disk and workpath
local_volume=get_local_vol;
workpath=[local_volume '/'... |
close all; clear; clc;
img = imread('fig0.png'); % fig0.png 이미지 파일 불러와서 img에 저장하기
img = double(img); % img의 데이터를 실수형으로 변환 (실수단위 연산을 위함)
[H, W, D] = size(img); % 불러온 이미지 크기 추출 (Height, Width, Dimension)
scrWH = get(0, 'screensize'); % 창 위치 조절을 위한 스크린 사이즈 추출
N = 4; % downsizing 배수
img_sampled = img(1:N:end, 1:N:end,:... |
clear all;
bird_ids=[1053 1034];
h=msgbox('Analysis of Calibration data for LDS PDR Expt');
uiwait(h)
for i=1:length(bird_ids)
h=msgbox('Select Interaural Microphone Calibration Data, Bird' num2str(bird_ids(1)));
uiwait(h)
cd C:\alex\calib_data
uiopen('load');
end |
function [I,I_seg] = load_braintumor(class,grade,patient)
%basedir = '/home/haltair/Research/vision/images/Brain_tumor/BRATS-1';
basedir = '/usr/data/medical_images/BRATS2012_braintumor/BRATS-1';
if (patient < 10)
temp_str = sprintf('0%d',patient);
end
if (patient >= 10)
temp_str = sprintf(... |
N=256;% number of samples
fs=1000;% frequency sampling
t=0:1/fs:(1/fs)*N; % time from 0 to (1/fs)*N, step each 1/fs
% 5 input signals x=A*sin(2*pi*f*t)
f1=0; f2=50; f3=100; f4=150; f5=200;
[x,fs,nbits,soundbits] = wavread('record1.wav');subplot(211);% make 2x1 viewpoint, plot in first viewpoint
plot(t,x);% plot input s... |
classdef Zernike_Polynomials < handle
% Zernike class written by Michael Wester (7/1/2015)
%
% This works with either the Wyant or Noll orderings (see Generate_PSF to see
% how each can be invoked). This code is based on code originally provided by
% Sheng Liu and duplicates the results using the Wyant ordering. Th... |
function this = postparse(this, qty, eqn, euc, puc, opt, optimalOpt)
% postparse Postparse model code.
%
% Backend IRIS function.
% No help provided.
% -IRIS Macroeconomic Modeling Toolbox.
% -Copyright (c) 2007-2017 IRIS Solutions Team.
TYPE = @int8;
%----------------------------------------------------... |
% q1_comparisonOfBroadbandMeasures
%
% Question 1: amplitude vs. power vs log power
% How does the quality of broadband estimate vary using amplitude, power or log power estimates?
% Prediction: Power best quality
% Approach: vary params.method
%% Set parameters
clear all;
params = [];
% SIMULATION parameters
% Se... |
clear
clc
image_folder = '/Users/arsen/Documents/GitHub/EECE5639_Computer-Vision/Project2/DanaHallWay1/';
file_names = dir(fullfile(image_folder,'*.JPG'));
total_images = numel(file_names);
img = cell(1,total_images);
for k = 1:total_images
F = fullfile(image_folder,file_names(k).name);
img{k} = imread(F);
en... |
function [ pars ] = get_layer_pars( layer,num_bases,num_channels)
% get layer parameters
%
pars = get_default_layer_pars();
pars.num_channels = num_channels;
pars.num_bases = num_bases;
pars.layer = layer;
% pars.ws = ws;
% pars.spacing = spacing;
% pars.num_trials = num_trials;
fprintf... |
%% common part for all blocks
% y12 = 1 / 3.5;
% z12 = 0.35;
% k12 = 2.6 * logsig((y12 - 0.1935) * 120.0) - 0.49;
% u01 = 2.6 * logsig(0.1935 * -120);
% u12 = 2.6 * logsig((y12 - 0.1935) * 120.0);
y12 = 0.245;
z12 = 2.6 * 120 * (1 - y12)^2 * logsig((y12 - 0.1935) .* 120.0) * (1.0 - logsig((y12 - 0.1935) .* 120.0));
k1... |
function [BBtight, BBfull, BWmerged, CC] = findROIdummy(imageFile,param,showResults)
if ~exist('showResults','var') || isempty(showResults)
showResults = 0; % show detected regions
end
% =========== RECTANGLE COVERING ==========================================
% Check for image size
%[imHeight, imWidth, ~] = s... |
function runConstAdvectionNoSource3d
M = [ 10 20 30];
Order =[ 1 2 3];
% len = deltax;
Nmesh = numel(M);
Ndeg = numel(Order);
len = zeros(Nmesh, Ndeg);
dofs = zeros(Nmesh, Ndeg);
linewidth = 1.5;
markersize = 8;
linestyle = '-';
color = {'k', 'r','b'}; %black for order one, red for order two
marker = {'o'};%circle... |
clear;
close all;
clc;
data_path = '../../data/csi_050220/';
param_path = '../../data/param_050220/';
vicon_path='../vicon_segment/segment/';
spectrum_path = '../../data/TRAP_050220_xy/';
if ~exist(param_path,'dir')
mkdir(param_path)
end
if ~exist(spectrum_path,'dir')
mkdir(spectrum_path)
end
% motion_files = ... |
function [fid] = fidelity(f,b)
f = double(f);
b = double(b);
fl = 255 * (f / 255).^2.2;
sigma = 2;
[I J] = meshgrid(-3:1:3, -3:1:3);
h = exp(-(I.^2 + J.^2)/2/sigma);
h = h / sum(h(:));
flh = conv2(fl, h, 'same');
blh = conv2(b, h, 'same');
flt = 255 * (flh / 255).^(1/3);
blt = 255 * (blh / 255).^(1/3);
... |
% -------------------------------------------------------------------------
% mpc_exp.m
% Explore MPC performance v.s. period.
% Author: Xiaotian Dai
% https://uk.mathworks.com/help/mpc/examples/control-of-a-single-input-single-output-plant.html
% ------------------------------------------------------------------------... |
function plotCoherence(wcoh,f,t,coi,xlab,ylab,wcs,thresh)
%% PLOTCOHERENCE Helper function to plot coherence (from example R2017a)
%
% PLOTCOHERENCE(wcoh,f,t,coi,xlab,ylab);
%
% 2019-08-12
%% PARSE INPUT
if nargin < 8
thresh = 0.95;
end
if nargin < 6
ylab = 'f (Hz)';
end
if nargin < 5
xlab = 't (ms)';
end... |
function RBES_fuzzy_attributes
global params
r = global_jess_engine();
if params.WATCH, fprintf('Fuzzy...\n');end
% jess watch all
r.eval('(focus FUZZY)');
r.run();
% jess unwatch all
if params.MEMORY_SAVE
list_rules = r.listDefrules();
while list_rules.hasNext()
rule = list_rules.next().getNam... |
clear all
close all
N = 2 ^ 13;
L = 16;
M = N / L;
Rs = 2;
Ts = 1 / Rs;
fs = L / Ts;
Bs = fs / 2;
T = N / fs;
t = - T/2 + [0 : N - 1] / fs;
f = - Bs + [0 : N - 1] / T;
% 生成升余弦波
alpha = 0; % 滚降系数α
Hcos = zeros(1, N);
ii = find(abs(f) > (1 - alpha) / (2 * Ts) & abs(f) <= (1 + alpha) / (2 * Ts));
Hcos(ii) = Ts / 2 * (... |
%%%
% Creates Figures on cell bias towards aggreagtes
%%%
addpath('Libraries/Utils')
PROJECT_BASENAME = ['/Volumes/Scratch/Chris/Paper2_Rippling/Paper2/'];
run('ENVS.m')
load([PROJECT_BASENAME, '/data/processed/Development/AllDataTable.mat']);
% PERSISTENT = true caluclates graph for persistent runs
% PERSISTENT = fa... |
%% changed script
close all; clear; clc
format long
A = [1.5 0.8 5.1; 3 4 5; -3 -2 -6];
Aori = A;
numPiv = 0; % initialize the number of pivots
[n,n] = size(A);
p = (1:n)';
for k = 1:n-1
% Find largest element below diagonal in k-th column
[r,m] = max(abs(A(k:n,k)));
m = m+k-1;
% Skip elimination... |
function sort_pop(a)
n=length(a);
for i=1:3
for j=1:n-i
if a(j+1)<a(j)
temp=a(j);
a(j)=a(j+1);
a(j+1)=temp;
end
end
end
end |
preds_class_lin = classify(X_crp_test',X_crp_train',X_crp_train_lbl,'diaglinear');
diffs_class_lin = preds_class_lin-X_crp_test_lbl;
nmb_correct_class_lin = zeros(crp_num_img - train_number,1);
for i = 1 : crp_num_img - train_number
if diffs_class_lin(i) ~= 0 % if the prediction was NOT correct
nmb_correct_... |
function D = activationFnDeriv(z)
D = sigmoid(z) .* (1 - sigmoid(z));
end |
function modulationFrequencyStep_prs(obj, evt, stage)
hndl = get(gcf, 'Userdata');
hndl = get(hndl.mainFig, 'Userdata');
switch stage
case 1
hndl.setting.Pre.modulation.frequencyStep_P = get(obj, 'value');
if hndl.setting.Pre.modulation.Num_CK
... |
function [dc, L] = dilatcond( img1, img2, opts )
% Generates an image stack, dc, for which each slice corresponds to
% subsequent iterations of conditional dilations from img1 to img2.
% Iterations continue until the dilation has reached img2, i.e. the area of
% img2 is the same as the area of the dilation iteration.
... |
function erg = rvalue(q, r)
%RSQU erg=rvalue(r, q) computes the r-value for
% two one-dimensional distributions given by
% the vectors q and r
q=double(q);
r=double(r);
sum1=sum(q);
sum2=sum(r);
n1=length(q);
n2=length(r);
sumsqu1=sum(q.*q);
sumsqu2=sum(r.*r);
G=((sum1+sum2)^2)/(n1+n2);
erg=(sum1^2/n... |
function dd = divdiff(x, y)
% NEWTONDD - calculates the coefficients for polynomial interpolation in Newton's form.
% The output dd is a row vector that contains f[x0], f[x0,x1], ... , f[x0,x1,...,xn]
% It can only handle vector inputs.
[x, y] = row2column(x,y);
len = length(y);
dd = zeros(len,len);
d... |
function drawgeomright1(Ldomain,q)
strq=num2str(q);
[pde_fig,ax]=pdeinit;
pdetool('appl_cb',1);
set(ax,'DataAspectRatio',[1.5 1 1]);
set(ax,'PlotBoxAspectRatio',[1 1 1]);
set(ax,'XLim',[-2 22]);
set(ax,'YLim',[-1 1]);
set(ax,'XTickMode','auto');
set(ax,'YTickMode','auto');
pdetool('gridon','on');
% Geometry descriptio... |
function spc_filterFrames
global spc gui
%global tmp
prompt = {'Filter Window Size'};
dlg_title = 'Input';
num_lines = 1;
def = {'4'};
answer = inputdlg(prompt, dlg_title, num_lines, def);
if isempty(answer)
return;
end
fw = str2num(answer{1});
spc.page = 1;
set(gui.spc.spc_main.spc_page, 'String', num2str(spc.pa... |
%Metodo de Broyden: Sist. Ecuac. No Lineales
function [iter,x,ea] = broyden_2x2
%Función para solucionar un sistema de dos ecuaciones no lineales
%"ecuaciones" es una subfunción que contiene las ecuaciones
%x0 es un vector con los valores iniciales en fila,
%tol la tolerancia en porcentaje (%)
%syms x1 x2
x... |
function vector= feature_extractor(input_img) %this function receives a grayscale img as input and returns a feature vector
%FIRST ORDER MEASURES
vector{1}= mean2(input_img); %average
vector{2}= (std2(input_img))^2; %variance is the square of the standard deviation
%SECOND ORDER MEASURES -> derived from gray lev... |
% Inclass11
%GB comments
1) 100
2) 100
3) 100
4) 100
overall: 100
% You can find a multilayered .tif file with some data on stem cells here:
% https://www.dropbox.com/s/83vjkkj3np4ehu3/011917-wntDose-esi017-RI_f0016.tif?dl=0
% 1. Find out (without reading the entire file) - (a) the size of the image in
% x and y, ... |
function Y=NNTuckerCore(Y,U)
%% Given tensor/ttensor Y
% find the optimal nonnegative core tensor with fixed nonnegative loading matrices U.
% If U is not given, U=Y.U.
if nargin==1
if strcmp(class(Y),'ttensor')
U=Y.U;
R=size(Y.core);
else
error('U is required.')... |
function createORG_Surface(inputFile)
% USPEX Version 9.3.0
% new tags: dimension/varcomp/molecule
% deleted tags: supercomputer name
global ORG_STRUC
getPy=[ORG_STRUC.USPEXPath,'/FunctionFolder/getInput.py'];
%for surfaces
%[nothing, reconstruct] = unix (['./getStuff ' inputFile ' reconstruct 1']);
reconstruct = p... |
addpath(pwd);
fprintf('PeakDecon path is added to the MATLAB search path. Enjoy PeakDecon!!\n')
|
function [ message ] = data_select(obj, data_idx )
%data_select update roi list, file info table and parameter table to the
%selected data according to data_idx
%select_data(obj,data_idx);
%% function check
try
%------------------------------------
%get current roi and switch them off
num_roi=numel(obj.dat... |
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