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function [ObjPosition, ObjSpeed] = ObjMotion2(t_k, WS, NumElem, flag)
ObjPosition = zeros(3,NumElem);
ObjSpeed = zeros(1,NumElem);
if strcmpi(flag, 'standing_wind_random')
k = 5; lambda = 15;
l = 1;
% ObjSpeed = ones(1,NumElem).*RandWindSpeed(k, lambda);
% ObjSpeed = ones(1,NumElem).*HarmWindS... |
function [medie,patrat,produs] = Exercitiu3_Razvan_Craciunescu [z]
medie=mean(real(z));
patrat=z.^2;
produs=z*z'; |
function AdjustDTWAFigsInGroup_Plos1_CompBio_July2021(figGroup, offsetTop, bottomPictureXstart, displayLength, figureName)
originalSignalFig = 3; alignedSignalFig = 2; % Which child in Fig
consensusLine = 1; goldStandardLine = 2;
numDBADTWAFigGroup = size(figGroup, 2);
for countFigs = 1 : numDBADTWAF... |
tic;
ni = 1000;
noi=100;
n=d;
ions=zeros(ni,n+3);
ions=initial(ions,range);
ions=benefit(ions,objective_function);
hamION=[];
[anions,cations]=anion_cation(ions);
anions_memory=anions;
cations_memory=cations;
for g=1:noi
[anions,cations]=update_ions(anions,cations,range);
anions=benefit(anions,objec... |
function [spectralSamples, freqs] = getRandomSpectralSamples(EEG, startingFracs, ...
sampleLength, channels, numFreqs, freqRange)
%% Compute specified random spectral samples
%
% Parameters:
% EEG EEG set structure
% startingFracs numChans x numSam... |
function [Count] = Dict_Rec(params,data,ch)
%% Function to implement Sparse KSVD
% Used in Denoising & Dictionary Recovery
% A is the sparse representation of the base dictionary D = B*A
% D_ = Dummy Dictionary
% D = Original Dictionary ; Ground Truth
%% Parameter Extraction
Tdict = params.Tdict;
D_base = params.D_bas... |
clear all;clc;
time = 20;
N = 2000;
Pp = 0.05;
Pn = 0.05;
P_circle = 0.25;
%人群分片
count_p = floor(N*Pp);
count_p_in = floor(count_p*P_circle);
count_p_out = count_p-count_p_in;
count_n = floor(N*Pn);
count_n_in = floor(count_n*P_circle);
count_n_out = count_n-count_n_in;
count_f = N-count_p-count_n... |
%% FPTC Synchronizer
% Author: Hongli Shi u5738846
% Date: 10 May, 2017
% Description: The function is to synchronize the timing and frequency
% offset. The input is the received TD OFDM sequence y. There are two
% outputs. One is the estimated timing n_est (the end point of CP),
% and the other is the estimated frequ... |
%
% Created by Tiago Carvalho Mendes
% October, 2019 - University of Aveiro
%
clear;
close all;
clc;
Ta = 0.01;
t = [0:Ta:5-Ta]';
x = 2*sin(4*pi*t);
figure(21);
plot(t,x);
grid on;
title('Signal x(t)');
legend('x(t)');
xlabel('Time (s)');
ylabel('Amplitude');
y = cos(10*pi*t);
figure(22);
plot(t,y);
grid on;
title... |
function bb=adabooster(proto, boost_steps, param1, param2)
% bob=booster_base(proto, boost_steps, param1, param2)
%
% Constructor for aqabooster class
%
% BASECLASS(ES) : booster_base
% G. Raetsch 10.12.99
% Copyright (c) 1998,1999 GMD Berlin - All rights reserved
% THIS IS UNPUBLISHED PROPRIETARY SOURCE CODE o... |
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% CSC C11 - Assignment 2 - Document Clustering.
%
% This script is used to perform clustering on a dataset that
% contains word-frequency vectors for a couple thousand articles
% from the BBC:
%
% http://mlg.ucd.ie/datasets/bbc.html
%
% You *do not ne... |
classdef EucImageDistance
%
% Compate between input image and reference image.
%
% @author: Jeffrey Chan, 2014
%
properties
m_mRefImage;
m_mRefPos;
end
methods
function [obj] = EucImageDistance(mRefImage, mRefPos)
obj.m_mRefImage = mRefI... |
% Functions x[n] and h[n]
x = [0,0,1,3,4,0,0]; % x[n]
h = [0,0,6,5,4,3,2,1,0,0]; % h[n]
% End Functions
x_find = find(x); % Find indexes of all nonzeros in x
x_start = x_find(1); % index of first nonzeros in x
x_end = x_find(end); % index of last nonzero number in x
h_find = find(h); % All indexes of non-zeroes in... |
%Recall that the physical level is z+2
%Value of r2 determines which leaf we start on, smaller r2 -> closer to
%boundary
%Difference between r2 and r3 determines position on leaf. Large difference
%close to bottom, small difference close to top
maxZ = 5;
r1 = 1;
r2 = 1;
r3 = 1;
DepthTable = zeros(ma... |
clear all;
close all;
load('/Users/maximilianbrill/Desktop/Brill&Wolf/MATLAB/results/com_tax_mf_delta.mat');
load('/Users/maximilianbrill/Desktop/Brill&Wolf/MATLAB/results/com_igp_mf_delta.mat');
load('/Users/maximilianbrill/Desktop/Brill&Wolf/MATLAB/results/com_tax_df_delta.mat');
load('/Users/maximilianbrill/Desktop... |
% prefix = prefix before the number
% use sprintf('05d%','number') to match the '00015' thing
% N_file = number of files in that directory
function result = n2ndist(prefix, atom1, atom2, N_file)
namestring = [prefix '%05d.pdb'];
result(N_file,2) = 0;
h = waitbar(0,'Calculating n2n dist...');
for i=1:N_file
... |
function LFP_DATA=stan_ephys_getdata_lfp_stats()
%
% stability analysis--baseline data
% first take all of the data from control
[options,dirs]=stan_preflight;
nboots=1e3;
tmp=dir(fullfile(dirs.agg_dir,dirs.lfp_dir,'*.mat'));
lfp_files={tmp(:).name};
LFP_DATA.dates=[];
LFP_DATA.days_since=[];
LFP_DATA.ang_diff=[];
L... |
%Toggleable options (4, 1, 2 is the most complete sequence)
part1 = 4; %1, 2, 3, or 4
part2 = 1; %1 or 2
part4 = 2; %1 or 2
%Part 1: Create Transition Matrix (normalization will be done all at the
%same time)
numberOfSpaces = 40;
B = zeros(numberOfSpaces, numberOfSpaces);
doubleDiceRollDistribution = [0 1/36 2/... |
% imbibition capillary pressure curve
% Written by Ali A. Eftekhari
function res=dpc_imb(sw, pce, swc, sor, teta, labda, b)
dpc1=dpc_drain(sw, pce, swc, labda);
dpc2=dpc_drain(1-sw, pce, sor, labda);
res=(0.5*(1+cos(teta))).^b.*dpc1+(0.5*(1-cos(teta))).^b.*dpc2;
end |
clear
close all
clc
%% T1T2
% Load data
cd('/Users/jaredking/Documents/Classes/Chemistry/Research/Summer2016/TradSSET2_M212Samples_23_28June2016/TradSSET2_M212_Fresh_Overnight_24June2016/2/ILTs/'); % cd into desired directory
datafile = 'TradSSET2_M212_Fresh_Overnight_24June2016'; % Datafile
invDat = load(strcat(data... |
head = ones(450,501);
for i = 1:450
for j = 1:501
if i/3. + abs(j-250) > 250;
head(i,j) = -1;
end
end
end
tail = imrotate(head,180);
figure();imagesc(head);colormap gray;axis image;title('Head up');
figure();imagesc(tail);colormap gray;axis image;title('Tail up'); |
% LogEn
function A2=LogEnFun(Image)
A=rgb2gray(Image);%½«Í¼ÏñתΪ»Ò¶Èͼ
imshow(A);
A2=log(1+double(A));
% axes(handles.axes2);
% imshow(A2,[]); |
function ci = repli2ci(bstat,stat,alpha)
%ci = repli2ci(bstat,stat,alpha)
% CI = BOOTCI(NBOOT,BOOTFUN,...) computes the 95 percent BCa bootstrap
% confidence interval of the statistic defined by the function BOOTFUN.
% NBOOT is a positive integer indicating the number of bootstrap data
% samples used in the c... |
%% Model only
l = 0.34;
lr = 0.17;
tv = 1.4;
gv = 1;
td = 0.1;
gd = 1;
beta = @(x)atan((lr/l)*tan(x(5)));
inputs = ret{1}.inputTrajectory;
Ts = t(2)-t(1);
% Steering model filter
Fs1 = tf(gd,[td 1]);
Fz1 = c2d(Fs1,Ts);
inputsF(2,:) = filter(Fz1.num{1}, Fz1.den{1},inputs(2,:));
% Velocity model filter
Fs2 =... |
function tsa = mytsd(t, qData,tUnits,Header)
switch nargin
case 0
tsa.t = [];
tsa.data = [];
tsa.header = [];
tsa.units= [];
case 1
if isa(t, 'mytsd')
tsa = t;
return;
elseif isa(t, 'ctsd')
tsa.t... |
num=load('1D_Rie_Test_10.dat')
plot(num(:,1),num(:,2),'b.')
hold on
exact=load('exact0.dat')
plot(num(:,1),exact,'b')
num=load('1D_Rie_Test_11.dat')
plot(num(:,1),num(:,2),'g.')
exact=load('exact1.dat')
plot(num(:,1),exact,'g')
num=load('1D_Rie_Test_12.dat')
plot(num(:,1),num(:,2),'r.')
exact=load('exact2.dat')
plot(nu... |
function arg = rw_loadcurve(mode, obj, fileid, name, loadcurve, sigma, varargin)
%RW_LOADCURVE ermöglicht Zugriff auf Parameter der Klasse "Lastgang"
% Diese Funktion gehört der RW_-Funktionenreihe an, die eine automatische
% Abarbeitung aller im Simulationsprogamm vorkommendnen Parameter erlaubt.
% Dazu we... |
clear all;
close all;
I1 = imreadbw('img1.png');
I2 = imreadbw('img2.png');
[M,N] = size(I1);
[vx,vy] = getFlow(I1, I2, 2);
figure,
% subplot(3,1,1)
% imagesc(vx);
% subplot(3,1,2)
% imagesc(vy);
% subplot(3,1,3)
hold off
imagesc(I2);
colormap gray
hold on
quiver(vx,vy,0);
|
function tSignal = GetMaximalRadiationSignal( tConverter, afJulianDates )
%
% construct the roof
tRoof = PhysicalModels.HorizontalRoof( ...
tConverter.fLatitudeInDegrees, ...
tConverter.fLongitudeInDegrees, ...
tConverter.fTimeZoneInHours, ...
false );
%
% g... |
function throw(tag,message1,varargin)
%NNERR Throws nnet error in calling function, with update message.
%
% NNERR(TAG,MESSAGE) throws the error ('nnet:FILENAME:TYPE',message)
% in the calling function, where FILENAME is the name of the calling
% function.
%
% NNERR(TYPE,MESSAGE,NAME) updates message by replacing a... |
function surfaces = findCenters(surfaces,source)
options.aperture=false;
options.segments=false;
options.negative=true;
[~,~,~,elev,trace] = raytrace(columnSource(source,0),surfaces,options);
% trace the chief ray only
N = numel(trace);
for i=2:N
if ~isfield(surfaces{i-1},'lo... |
function drawback_info = PCBDetect(source,template,visible,issave,log_folder_name,output_folder_name)
% comapre source image to the template iamge in order to detect the
% darwbacks in source image. the locations and classes of darwbacks would
% be recorded in the log file stored under the folder specificated be
... |
%% Initialise helix
% Generates the coordinates for a helix
function [r,init_type] = initialize_helix(filament_param,driving)
%% Global dels n amp k
dels = filament_param.dels;
n = filament_param.n;
radius = driving.rad;
h = driving.h_step;
% Preallocate
r = zeros(3*n,1);
r_rad = ... |
% File: PB_38.m for Problem B-38
clear;
clf
A = 8;
M = 8;
% defining step size
delta = 2*A/M;
k = 1:1:M;
y = zeros(length(k),1);
P = zeros(length(k),1);
for (i = 1:1:length(k))
y(i) = (2*k(i)-M-1) * 0.5 * delta;
P(i) = 1/pi*(asin((2*k(i)-M)/M) - asin((2*k(i)-M-2)/M));
end;
plot(y,P,'o');
axis([y(1) y(length(k... |
clear;
clc;
syms M J T R Th Ph Td Rd Thd Phd
x = [T R Th Ph];
xd = [Td Rd Thd Phd];
v = [T R Th Ph Td Rd Thd Phd];
dt = .01;
O = 2;
EV = J;
EO = 0;
AZ = 2 * pi * O;
g = sym(zeros(4));
g(1, 1) = - (1 - 2 * M / R);
g(2, 2) = 1 / (1 - 2 * M / R);
g(3, 3) = R ^ 2;
g(4, 4) = R ^ 2 * sin(Th) ^ 2;
g(1, 4) = - 4 * J * sin(... |
function diseaseNet
import brml.*
D=20;S=40; dv=1:D; sv=D+1:D+S;
load diseaseNet
pot=str2cell(setpotclass(pot,'array'));
drawNet(dag(pot),variable);
tstart=tic;
[jtpot jtsep infostruct]=jtree(pot); % setup the Junction Tree
jtpot=absorption(jtpot,jtsep,infostruct); % do full round of absorption
t=toc(tstart);
disp(['J... |
function ptCloudScene = process_scene_2(pico_FileName, time, sensor_pos,sensor_att,~,start_here,end_here,use_rotations,use_translations,refresh_data)
tic
% Lets stitch baby, this first block gathers and syncs data
sensor_att = movmean(sensor_att, 41,1);
% Grab necessary data from pico flexx
if refresh_... |
function matlabbatch = bspm_coregister(reference, source, other, costfun)
% BSPM_COREGISTER
%
% USAGE: bspm_coregister(reference, source, other)
%
% ARGUMENTS
% reference = image that stays put
% source = image that is moved to match the reference
% other = images to move with the source
% costfun = 1 (defau... |
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%% Description: plot mean error rates (figure 2 in the manuscript)
%% Author: Xuelian Zang
%% Contact: zangxuelian@gmail.com or lianlian81821@126.com
%% Date: 15/10/2013
%% updatedate : 28/03/2020
%% modified by Fiona
%%%%%%%%%%%%%%%%%%... |
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%Function: incorporate contact constraint to stiffness matrix based on
% penaly method
%
%Input: ncp_1=number of control point in patch 1
% ncp_2=number of control point in patch 2
% Problem=Problem set
% Penal... |
%%
x = imread('Barbara.jpg');
if(length(size(x))==3)
x=im2double(rgb2gray(x));
else
x=im2double(x);
end
sigma=5e-3;
miu=4e-4;
[m, n] = size(x);
%%
%%get the oberverd image
load kernels.mat
H=k{7};
H_FFT=psf2otf(H,[m,n]);
HC_FFT = conj(H_FFT);
y=imfilter(x,H,'circular','conv')... |
function state = gtrack_unitUpdate(uid,var,num)
global trackerProcObj;
global points;
GTRACK_SPREAD_ALPHA = 0.01;
GTRACK_MIN_POINTS_TO_UPDATE_DISPERSION = 3;
FLT_MAX = 3.402823466e+38;
MSIZE = 4;
myPointNum = 0;
myUniquePointNum = 0;
centroidSnr = 0;
J = zeros(4,9);
D = zeros(4,4);
u_sum.array = zeros(1,4);... |
function [r2,rmse] = rsquare(y,f)
% Compute coefficient of determination of data fit model and RMSE
%
% [r2 rmse] = rsquare(y,f)
%
% RSQUARE computes the coefficient of determination (R-square) value from
% actual data Y and model data F. The code uses a general version of
% R-square, based on comparing the variabilit... |
function Vars = getQdecVars(Qdec)
% Vars = getQdecVars(Qdec)
%
% Returns a one dimensional cell string array with the name of the variables
% in Qdec.
%
% Input
% Qdec: Two dimensional cell string array of Qdec data.
%
% Output
% Vars: One dimensional cell string array.
%
% $Revision: 1.1.1.1 $ $Date: 2012/02/02 11:25... |
function [redraw, rekey, undoable] = DeleteCluster(iClust)
% f = CopyCluster(iClust, varargin)
%
% INPUTS
% iClust - index into MClust_Clusters
% REQUIRES
% figHandle from parent
%
% OUTPUTS
% MCC - The updated cluster
%
%
% ncst 26 Nov 02
% ADR 2008
%
global MClust_Clusters
global MClust_Hide
global MClust... |
function f = objective( x )
%OBJECTIVE Summary of this function goes here
% Detailed explanation goes here
f = (x-3)^2
end
|
function [ry,rye,t,vary]=acfar(a,v,m);
%Usage: [ry,rye,t]=acfar(a,v,m)
% m: max number of lags
% a: denuminator polynomium
%
% ry: covariance function
% rye: cross covariance function
% t: time index
% Programmed 1994 by Niels K. Poulsen
% Department of Mathematical Modelling,
% Technical University of Denmark ... |
%Part 2 a)
% Training data from 1a)
data2 = zeros(200, 256);
data2(1:100, :) = data(sampleSet3, :);
data2(101:200, :) = data(sampleSet8, :);
% Testing data from 1b)
x2 = zeros(200,256);
x2(1:100, :) = data(testingSet3, :);
x2(101:200, :) = data(testingSet8, :);
target(1:100,1) = -1;
target(101:200,1) = 1;
Y = RegLS(0... |
% ANALYZE Step wedge analysis
%
% This method determine the transfer table of film exposure to linearized
% intensity level.
% >> object=analyze(object);
% The optical densities used in the analysis are controlled by the object
% properties StepLevels, StepOffsets, and CalibrationRange.
%
% To only view the analyzed ... |
function mph = kmph2mph(kmph)
%KMPH2MPH Convert speed from kilometers per hour to miles per hour
%
% mph = KMPH2MPH(kmph) converts speeds from kilometers per hour to miles
% per hour.
%
% See also KMPH2KTS, KMPH2FTPS, KMPH2MPS, MPH2KMPH.
% Jonathan Sullivan
% Original: May 2011
% jonathan.sullivan@ll.mi... |
function MultiViewer(varargin)
% Data Viewer for Multimodal Data Collected with Controller
% Note: At this point MultiViewer only works with consecutive trials!
%
% Usage:
% MultiViever('Argument',Value,...);
% Data : MultiModel data in Controller format (obtained from C_loadRecording)
% Transpose [... |
function [Lout,yt] = get_graph_states_idx(G, ys, Id)
for t = 1:length(G)
L = (G{t}.laplacian);
Lout{t} = L(Id,Id);
end
yt = ys(Id,:,:);
|
%matriz de flexibilidad para pasar esfuerzos a deformaciones
%caso esfuerzo plano ozz=oxz=oyz=0
%young en MPa, deformacion axial en epsilon (epsilon = gama / 2)
function f = flexibilidad_esfplano(young, poisson)
f_general = flexibilidad(young, poisson);
f = f_general;
%eliminar filas 3, 4 y 5
f(5,:) = [... |
function [h,v,incl] = m2h(M,A,fs,fc)
% [h,v,incl] = m2h(M,A) % M and A are sensor structures or matrices
% or
% [h,v,incl] = m2h(M,A,fc) % M and A are sensor structures
% or
% [h,v,incl] = m2h(M,A,fs,fc) % M and A are matrices
% Compute heading, field intensity and inclination angle by gimball... |
function y = blk_reactor_BaCl2_NH3_cylindrical_no_walls_fun1(x)
%%
% Salt molar mass:
pair = get_material_properties(x.pairName);
binder = get_material_properties(x.binderName);
gas = get_material_properties(x.gasName);
% Composite volume (m3):
y.Vcomposite_m3 = x.Lr * (pi/4*(x.D^2-x.Ddiff^2));
% Composite ... |
function [obj] = PointContact(obj, rbm, frame)
arguments
obj (1,1) Contact
rbm (1,1) DynamicalSystem
frame (:,1) casadi.SX
end
switch rbm.Model.dimensions
case 'planar'
if size(frame,1) ~= 2
error('Contact frame must be 2x1 for 2D point contacts')
end
case 'spatial'
... |
load('/home/mahdyar/Documents/MATLAB/gan_anomaly/code/variables/ped2.mat')
original_frm_dir='/home/mahdyar/Documents/MATLAB/gan_anomaly/data/UCSD/ped2/frm/test/';
generated_frm_dir='/home/mahdyar/Documents/MATLAB/gan_anomaly/data/UCSD/ped2/of2app/of2app_output/';
original_of_dir='/home/mahdyar/Documents/MATLAB/gan_... |
% 适用于罗德FSW43频谱仪的一些控制命令
% obj = C_RS_FSW43('102.10.1.1'); 根据IP地址连接设备
% obj.saveASCII('C:\1.csv'); 将频谱数据以ASCII格式保存到仪器中
% [fre, power] = obj.getMaxPeak(); 获取频谱最高峰的幅度和频率
% [X, Y] = getMarkerN(obj, iMarker); % 获取Marker i对应的频率和幅度
classdef C_RS_FSW43
properties
interface = 0;
end
methods
function... |
function [ pts ] = rotatePoints(pts, c, ang)
ca = cos(ang);
sa = sin(ang);
R = [ca sa 0; -sa ca 0; 0 0 1];
pts = pts - c;
pts = [pts; ones(1, size(pts,2))];
pts = R*pts;
pts = pts + [c;0];
end
|
clear;
N = 100;
disturbance_factor = 100;
errs = zeros(1, N);
out_file = 'gyro_measurement_test.txt';
% The following data should be written:
% - quaternion estimate (4)
% - body frame angular rate estimate (3)
% - quaternion disturbance, vector (3)
% - body frame angular rate disturbance (3)
%... |
function [volume] = sphere_vol(radius)
%SPHERE_VOL calculates the volume of a sphere
% This function accepts either a scalar radius or an array of radii
% and returns a scalar or array of volumes respectively
% Inputs:
% radii: a scalar radius or array of radii
% Outputs:
% volume: a scalar volume or arr... |
function ProblemNo5()
n = (-1:200);
X = input('Enter an equation for x(n): ');
for a= 1:200
if a==1
y(a)=-1.5*X(a+1)+2*X(a+2)-0.5*X(a+3);
x(a)=X(a+1);
elseif (a>1)&&(a<=199)
y(a)=0.5*X(a+2)-0.5*X(a);
x(a)=X(a+1);
elseif a==200
y(a)=1.5*X(a+1)-2*X(a)+0.5*X(a-1);
x(... |
function [ samples ] = gaussRandom( mu, sigma, numSamples )
%GAUSSRANDOM Sample a normal distribution with parameters mu and sigma
% Generate random points using a gaussian distribution
if size(sigma,1)==1,
sigma=eye(length(mu))*sigma;
end
samples = mvnrnd(mu,sigma,numSamples);
end
function [r,T]... |
% [lx,ly]=size(mountain);
% x=0:28.34:28.34*(ly-1);
% y=0:28.34:28.34*(lx-1);
% mesh(x,y,mountain);
% %%
% [lx,ly]=size(flat(30:40,30:40));
% x=0:30:30*(ly-1);
% y=0:30:30*(lx-1);
% mesh(x,y,flat(30:40,30:40));
% axis([0 300 0 300 -1000 1000]);
% %%
% [lx,ly]=size(flat);
% x=0:30:30*(ly-1);
% y=0:30:30*(lx-1);
% mesh(x... |
function [ Ecg, RLocation, RQuality, NewEnd, Time, AllFile ] = ReadEcg( FileName, ...
RQualityFile, EcgStart, EcgEnd, fs, AllFile)
% This function waits for data to be saved then reads it
% Inputs:
% FileName : The name of the file containing ECG
% RFile : The name of the file containing RR interval
% RQ... |
%
clear all
clc
A_start = 0.05;
A_end = 1.5;
A_step = 0.05;
A_count = (A_end - A_start) / A_step + 2;
A_array = zeros(1, int64(A_count)-1);
T_of_A = zeros(1, int64(A_count)-1);
for i=1:A_count,
A_array(i) = 0.05 + (i-1)*0.05;
%
%Declarations
x0= [A_array(i),0]; % y(0), y'(0)
y0= [-1.5,3.... |
function marginal_plot(x, t, v, r1, cx)
% MARGINAL_PLOT
%
% [] = marginal_plot(x, t, v, r, cx)
%
% Inputs :
% x : array of size M_by_N
% t,v : arrays of size M_by_I and I_by_N
% r : Relative size of the main panel 0<r<1
% cx : color axis
%
% Outputs :
% :
%
% Usage Example : [] = marginal_... |
function varargout = centriodTest(varargin)
% CENTRIODTEST MATLAB code for centriodTest.fig
% CENTRIODTEST, by itself, creates a new CENTRIODTEST or raises the existing
% singleton*.
%
% H = CENTRIODTEST returns the handle to a new CENTRIODTEST or the handle to
% the existing singleton*.
%
% CE... |
function [Q,R] = my_gsmith(A)
Q = [];
M = [1, 1/2, 1/3, 1/4; 1/2, 1/3, 1/4, 1/5; 1/3, 1/4, 1/5, 1/6; 1/4, 1/5, 1/6, 1/7];
for i=1:size(A,2)
q = A(:,i);
for k=1:size(Q,2)
R(k,i) = q'*M*Q(:,k);
q = q - R(k,i)*Q(:,k);
end
R(i,i) = sqrt(q'*M*q);
Q(:,i) = q/R(i,i);
end |
function result = interpl(x, table, x1)
% interpl.m does a linear interpolation at x1 in a table of values along x,
% x is a row vector size n, table a matrix nXl and x1 a column vector size l
% the result is a column vector of size l
% take attention : vector x must match the rows in table, otherwise we assu... |
clear;clc;
fprintf("HI\n"); |
function [rho, E, Ftu, Fty, Fbear, Fshear, v] = materials(material)
% 'Al7075' 'Al6061', 'AlBeMet', 'Steel', 'Ti6Al4V'
% rho [kg/m3] : density
% E [Pa] : Young modulus
% Ftu [Pa] : Ultimate stress
% Fty [Pa] : Yield stress
% v [-] : Poisson ratio
switch material
case 'A286'
Fty = 1400e6;
... |
function [date_time, fake_gyro, fake_accel, real_gyro, real_accel, angles] = ...
convert(fake_fname, real_fname, angle_fname)
% Turns simulated test data into matrices.
% Test data can be found in the model/tests directory, and follows the
% format of:
% y-m-d h:m:s:[microseconds] [gyroscope data] [accelerometer da... |
% Gather all parameters of the semiconductors
%% General
q =1.6021766208e-19;% [C] absolute value of the chanrge electrons
epsilon_0 = 8.85418782e-12*1e-6; % [cm-3 kg-1 s4 A2] vacuum permitivity
T = 500; %[K]
k_b = 1.3806e-23;
h = 6.62607004e-34;% [m2 kg / s] Planck
m0 = 9.109e-31 ;% [kg] mass electron
V_t = k_b*T/q... |
function encode_cf(img_dir, codebook_path, para)
database = retr_database_dir(img_dir, '*_feat.mat');
load(codebook_path);
dict = dict;
parfor n = 1:length(database.path)
fprintf('Encoding: %d of %d\n', n, length(database.path));
func_encode_cf(database.path{n}, dict, para ); ... |
function [ cFkArea ] = makeFkCalculation(targetFk,rPoint,cPoint,wr,wc)
cFkArea = zeros(wr*wc, 5);
for r=1:wr
for c=1:wc
rp = r+rPoint;
cp = c+cPoint;
if r == 1
cFkArea(c, :) = targetFk(rp,cp,:);
else
cFkArea((r-1)*wc+c, :) ... |
A_1a = [3 -1 1;3 6 2;3 3 7]
b_1a = [1 0 4]
[raizesA_1a difA_1a] = MetodoDeJacobi(3, A_1a, b_1a, zeros(3), 0.0000000001, 100)
[raizesB_1a difB_1a] = MetodoDeGaussSeideiB(3, A_1a, b_1a, zeros(3), 0.0000000001, 100)
tamA_1a = 1:size(difA_1a,2)
tamB_1a = 1:size(difB_1a,2)
plot( tamA_1a, difA_1a )
plot( tamB_1a, difB_1a )
... |
function setdt (delt)
% this function allows for the specification of the delta-t value
% (delta-t = tt - ut1) to be used in the calculation of sidereal
% time and the terrestrial-to-celestial transformation. it allows
% these calculations to be performed, correctly, using ut1 as the
% time argument for the ear... |
function [points, edgeInds, linePositions] = intersectLinePolygon(line, poly, varargin)
%INTERSECTLINEPOLYGON Intersection points between a line and a polygon.
%
% P = intersectLinePolygon(LINE, POLY)
% Returns the intersection points of the lines LINE with polygon POLY.
% LINE is a 1-by-4 row vector contai... |
function [w] = grdescent(func, w0, stepsize, maxiter, tolerance)
% function [w]=grdescent(func,w0,stepsize,maxiter,tolerance)
%
% INPUT:
% func function to minimize
% w0 = initial weight vector
% stepsize = initial gradient descent stepsize
% tolerance = if norm(gradient)<tolerance, it quits
%
% OUTPUTS:
%
% w = fin... |
function d = distancePQ(xP,yP,zP,xQ,yQ,zQ)
% Function to calculate the distance between two points P and Q
d = sqrt((xP-xQ).^2 + (yP-yQ).^2 + (zP-zQ)^2);
end
% function d = distance(xP,yP,zP,xQ,yQ,zQ)
%
%
% d = sqrt((xP-xQ)^2 + (yP-yQ)^2 + (zP-zQ)^2); |
% Rafael Villamor Lora
% February 15, 2022
% SIMULATE LINEAR FLOW FROM APERTURE MAPS
%
% This script shows, step-by-step, how to simulate 2D steady laminar flow
% of a Newtonian fluid with constant density using the Local Cubic Law
% (LCL) approximation.
clear all, close all, clc
% LOAD DATA: APERTURE FIEL... |
function sem = stderror(x,dim)
sem= std(x,[],dim) / sqrt(size(x,dim));
end
|
function [rois, xyzrcoClusterPeaks] = ...
registerRois(subject, theDate, location, varargin)
p = inputParser ;
addParameter(p,'whichClusters',[]);
addParameter(p,'whichBlocks',[]);
addParameter(p,'xMargin',15);
addParameter(p,'yMargin',15);
addParameter(p,'zFitStyle','poly11');
addParameter(p,'rFitStyle','poly1... |
function [Data,para] = get_Data_SMS(Data,para)
Data.kSpace = fftshift2(Data.kSpace);
Data.mask = logical(abs(Data.kSpace(:,:,:,1,:,:,:)));
Data.kSpace = ifft2(Data.kSpace);
Data.kSpace = fftshift2(Data.kSpace);
Data.kSpace = fft2(Data.kSpace);
Data.kSpace = Data.kSpace.*Data.mask;
nSMS = para.Recon.nSMS;
Data.SMS = ex... |
%
% Script para demostrar la convergencia de la regla trapezoidal para funciones
% no-periodicas y periodicas
%
close all;
clear all;
%
% Funcion de prueba
%
f_fun = @(x) exp(1/sqrt(2) * sin(x));
int_exact_pi4 = 1.033247157375863;
int_exact_2pi = 7.09347072432924;
%
% Convergencia para intervalo no-periodico
%
a = ... |
function [A_t,sig_A,D_t,s,p,R,d1] = calcMertonModel(E_t,sig_E,K,t,T,r)
% Calculates the Value of Firm Assets, Volatility of Firm Assets,
% Debt-Value, Credit-Spread, Default Probability and Recovery Rate as per
% Merton's Structural Credit Model. The value and volatility of firm assets
% are found by Bivariate Ne... |
tfinal=0.01;
t=0:0.00001:tfinal;
xanalog=cos(2*pi*400*t)+cos(2*pi*700*t);
%critical sampling fs=2fm(fm=700)
fs=1400;
%Note that samples will repeat after 13/fs,hence its %sufficient if we consider first 14 samples(0 to 13) of analog %signal (observe the figures given previously)
tsamp=0:1/fs:13/fs;
xsampled=c... |
filename=input('filename?: ','s');
data=load(filename);
color=menu('please choose a color','red','blue','green')
type=menu('please choose a type','star','square')
switch color
case 1
switch type
case 1
plot(data,'r*')
otherwise
plot(data,'rs')
... |
function [ Values, Classes, Likelihood, PriorProbability ] = NBTrain(AttributeSet, LabelSet)
%Comments are stepped through as if we were using our
%specific example of spambase.data
PriorProbability = [];
%The number of features
%2 because its an mxn matrix so the index of n is 2
%Note:Matlab is... |
function out = f_struct2flat(d,fname)
% - turn a structure into a flat table & optionally export
%
% USAGE out = f_struct2flat(struct,'fname')
%
% struct = input structure
% fname = optional filename for export
% out = cell array of flattened structure
%
% SEE ALSO: f_extractFields
% STRUCT2FLAT turns a structure ... |
function datefinal=DMSPmanagedate(CURRENTDATE,SECONDS,SATNUMBER)
%% DMSPmanagedate.m Transforms the time from seconds to actual date
%--------------------------------------------------------------------------
% Input
%------
%
% CURRENTDATE - Number directloy taken from text file of UTD DMSp
% rep... |
function [Result, alpha, b, E] = examineExample(i2, xt, yt, alpha, C, tol, b, E)
y2 = yt(i2);
a2 = alpha(i2);
E(i2) = fx(xt(i2, :), xt, yt, alpha, b) - y2;
r2 = E(i2) * y2;
if((r2 < -tol && a2 < C) || (r2 > tol && a2 > 0))
if(~isempty(find(((alpha ~= C) & (alpha ~= 0)), 1)))
i1 = FindMaxStepi1(i2, C, alp... |
function [G_J, c_J] = Jacobi_factorization(A, b)
n = size(A);
D =zeros(n,n);
for i = 1:n
D(i, i) = A(i, i);
endfor
L=tril(A,-1);
U=triu(A,1);
Di = inv(D);
S=L+U;
G_J = zeros(n,n);
G_J = Di*S;
for i = 1 : n
G_J(i,i) = 0;
endfor
G_J = -G_J;
c_J = zeros(n,... |
function ImpointCurvePlot(n,sP,p,U,plotVector,Points)
C = zeros( sP , 2 );
for l = 1:sP % work around, make sure other points are not needed
C(l,:) = CurvePoint(n,p,U,Points,plotVector(l));
end
plt_curve = plot(C(:,1),C(:,2),'r.');
hold on;
Impoints = {... |
function [trueAcc, permAccs, winTime] = runCompClass_PermTest(sub, ...
winToUse, preproc, numPerm, numFolds, doZ, dataRoot, ...
resultRoot, randSeedFile)
% runCompClass_PermTest: a function for performing the high/low competition
% classification task for each time window, and the accompanying
% permutation tes... |
%%%% MATLAB script to process FMRI data from visual experiments
% gets the stimulus times from log files, extracts stimulus type and time
% at which it occured, and saves an ideal convolved with an HRF to the
% subject specific directory
clear all ; close all
stimnames{1} = 'unperturbed' ;
stimnames{2} = 'cont... |
function U0 = SparseIdentification(u_target,TOL,dt,n,N,M,A,V,epsilon,tau)
% This function computes the adjoint algorithm for sparse source
% identification (algorithm 4 in the paper)
u0=zeros(2*N*N+N,1);
[u0,error] = GradientDescent(u0,u_target,TOL,dt,n,M,A,V,epsilon,tau); % Call to gradient descent algorithm (... |
function angles2d
%ANGLES2D Description of functions for manipulating angles.
%
% Angles are normalized in an interval of width 2*PI. Most geom2d
% functions return results in the [0 2*pi] interval, but it can be
% convenient to consider the [-pi pi] interval as well. See the
% normalizeAngle function to ... |
function [output1] = R_LeftAbductionJoint(var1)
if coder.target('MATLAB')
[output1] = R_LeftAbductionJoint_mex(var1);
else
coder.cinclude('R_LeftAbductionJoint_src.h');
output1 = zeros(3, 3);
coder.ceval('R_LeftAbductionJoint_src' ...
,coder.wref(ou... |
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