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function [ y ] = DelaySumBeamform( X, T, W )
%DELAYSUMBEAMFORM Calculate the weighted sum of delayed sensor signals
% Inputs:
% X - m x n matrix of m signals whose length is n
% T - m length array of delays corresponding to the channels in X
% W - m length array of weights corresponding to the channels in X
% Ou... |
function A = KLDE(X, labels, K, k1, t1, k2, t2, d)
[W1, W2] = LDECompute(X, labels, k1, t1, k2, t2);
D1 = spdiags(sum(W1, 2),0,speye(size(W1,1)));
D2 = spdiags(sum(W2, 2),0,speye(size(W2,1)));
tmp = K * (D1 - W1) * K;
if ~isempty(find(sum(abs(tmp)) == 0))
tmp = tmp + 10^(-8) * eye(size(tmp));
end
[A, D] = eigs(... |
%close all
clear all
for shuffle=1; % Shuffle for the requirements of HW 4. 1 is 0 is ordered, 1 is shuffle on epoch, and 2 is randomize once.
tic
neurons=[3,3,3,4]; % This is your neural structure first layer is input neurons,
%last number is output neurons, and there can be 1-3 inner layers. Any
%number of ... |
dialect = mavlinkdialect("common.xml");
gcsNode = mavlinkio(dialect);
gcsPort = 14540;
connect(gcsNode,"UDP", 'LocalPort', gcsPort);
uavClient = mavlinkclient(gcsNode,1,1);
paramValueSub = mavlinksub(gcsNode,uavClient,'PARAM_VALUE','BufferSize',10,'NewMessageFcn', @(~,msg)disp(msg.Payload));
Atti_1 = mavlinksub(gcsNo... |
%{
# Patching traces
->psp.Exp
->psp.Probes
trial : int # trial number
---
trace : mediumblob # trace
std : float # standard deviation of trace
mean : float # mean of trace
seal_res ... |
%% This is a script for running adaptive PPD on real data sets
% The data used here are observations of the supernova remnant 3C391 using the VLA
% For more details please refer to following VLA tutorial
% https://casaguides.nrao.edu/index.php/VLA_Continuum_Tutorial_3C391-CASA5.0.0
%%
clear; clc ; close all
try
... |
function filestruct = MakeFileStruct(folder,airfile,mutfile,mut180,width,powers)
filestruct.airfile = fullfile(folder,airfile);
filestruct.mutfile = fullfile(folder,mutfile);
filestruct.mut180 = fullfile(folder,mut180);
filestruct.width = width;
filestruct.powers = powers;
end |
%% Spin Echo with kspace traversal from top to bottom
% Author - Sairam Geethanath
% Date - 21/01/2017
%% Path preferences
% cd('C:\Users\arush\Desktop\MR_INDIA_CODE\pulseq-master_All\matlab');
% addpath(genpath('.'));
cd('C:\Users\arush\Desktop\PSD_CODE\MATLAB');
addpath(genpath('.'));
sname = 'PRESS_MIRC.se... |
function [ hmw ] = halfmaxwidth( sig )
%halfmaxwidth finds the half mas width of the signal. It assumes that the
%baseline is zero.
% [ hmw ] = halfmaxwidth( sig )
% Find he value and index of the max value of the signal
[maxval , maxind] = max(sig);
halfmax = maxval / 2;
% Find the left arm point
leftarm = find(s... |
function [final] = identifyTails(x,y,g,flag)
%identifyTails - find variables at the base of large peaks that are
%artifacts. Try to remove them from the spectra
% For each group (g) find the average spectrum.
% For large peaks determine if it has peaks within a window of m/z|int
% For plotting
if nargin == 3
flag... |
clear;clc;clf
t=linspace(0,4*pi,10000);
comet(t,sin(3*t)+cos(tan(t)))
%繪出彗星軌跡圖，彗星尾巴拖的長度為p*length(y)
%若p省略，預設為0.1
%動態方式呈現
xlabel('x-axis');ylabel('y-axis')
text(7,1,'sin(3t)+cos(tan(t))','color','c') %在(7,1)上加入說明文字 |
%% Definitions
clc;clear;
path='c:\data2';
fileinfo = dir(fullfile(path,'*.au'));
filesnumber=size(fileinfo);
for i = 1 : filesnumber(1,1)
[signal{i} fs{i}] = audioread(fullfile(path,fileinfo(i).name));
disp(['Loading Sound No : ' num2str(i) ]);
end;
win = 0.050; step = 0.050;
fs2=fs{1};
fs3=44100;
... |
clc; clear; close all;
% INPUT
f = @(x,y) (y-x-1)^2 + 2;
y0 = 1;
x0 = 0;
h = .1;
N = 1;
% Main
x = x0;
y = y0;
y_star = y0;
error = 0;
[x,y,y_star,error] = RKF(f,x,y,h,N);
x
y
y_star
error
function [x,y,y_star,error] = RKF(f,x,y,h,N)
format longg
for n=1:N
k1 = h*f(x(n),y(n));
k2 = h*f(x(... |
function rescalingParams = computeRescalingParams(expParams, LI_stats)
% @ Matt Golub, 2018.
intuitive.pushingVectors = computeFactorPushingDirections(expParams.intuitiveMapping);
perturbed.pushingVectors = computeFactorPushingDirections(expParams.perturbedMapping);
intuitivePMs = columnNorms(intuitive.pushingVectors... |
function err = simulationError(T,trial)
X = xsmoothToFullState(trial);
steps = 1:100:size(trial.fuse.xsmooth,2);
err = zeros(size(X,1),length(steps));
i = 1;
for t = steps(1:(end-1))
t_range = (1:100)+t;
S = simulateK50Model(T,trial,t_range,1);
err(:,i) = sum((X(:,t_range) - S.X).^2,2)./var(... |
% 例3，RC电路，正弦信号通过低通滤波器的稳态响应
% 北京邮电大学，尹霄丽
% 2018年12月
syms R C w;
ZR=R;
ZC=1/(i*w*C);
H=ZC/(ZR+ZC)
R=2;
C=1;
H_w=subs(H);
t=0:0.01:4*pi;
e=sin(t)+sin(30*t);
H_w1=subs(H_w,'w',1);
H_w2=subs(H_w,'w',30);
r=abs(H_w1)*sin(t+angle(H_w1))...
+abs(H_w2)*sin(30*t+angle(H_w2))
subplot(2,1,1);
hh=plot(t,e);
set(hh,'linewidt... |
% Function name: getVecToNextPoint
% Function to get vector to the next point in the track
% Input:
% inputTrack: Object of cTrack class
% indexCurrentPoint: Index of the current point
% Output:
% retVec: Calcutlated vector
function [ retVec ] = getVecToNextPoint( inputTrack, i... |
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% reference paper: [kong18apply] Applying Lattice Reduction Technique to Space-Time Coded Multiplexing Systems
% This program calls a generalized pairwise QR deomposition, that works together with pairwise ELR, and records the complexity of the procedure
%
% Written by: ... |
%conpq does a least square fit of a conic through several points
xyvals = input('[x(1) x(2 ...x(t);y(1) y(2)...y(t)]');
t = length(xyvals);
M = zeros(2*t,6);
x = xyvals(1,1:t); y = xyvals(2,1:t);
for s = 1:t-1
u(s) = (x(s)+x(s+1))/2; v(s) = (y(s)+y(s+1))/2;
M(s,:) = 2*[1 x(s) y(s) x(s)^2 x(s)*y(s) y(s)^2... |
function [u,v] = pixel_to_cartesian(i,j,nrow,scalefac)
u=j-1;
v=scalefac*(nrow-i); |
function set_colormap(a)
% set_colormap - set colors for display
%
% set_colormap('jet');
% set_colormap('gray');
% set_colormap('hot');
%
% Copyright (c) 2008 Gabriel Peyre
if strcmp(a, 'jet')
colormap jet(256);
elseif strcmp(a, 'gray')
colormap gray(256);
elseif strcmp(a, 'hot')
colormap hot(256);... |
%Michael Evans
%PHYS 432
%NH3 inversion energy levels
function y = energylevel(jval, kval, fval)
cval = (fval * (fval + 1)) - 2 - (jval * (jval + 1)); %calculates C
%the following is the expression broken down into smaller bits
numerator1 = 3 * kval * kval;
denominator1 = jval * (jval + 1... |
function [w,b,Ein,Eout]=rbf_bias(X,Y,Xout,Yout,K,XS,gamma)
%
%[w b Ein Eout] = rbf_bias(X,Y,Xout,Yout,K,SPACE,gamma)
%
%X,Y
% input training data X, each x in row and corresponding y in each row of Y.
%
%Xout,Yout
% similar as X,Y
%
%K
% how many clusters are required
%SPACE
% the input space. [lower_limit uppe... |
function filter = isObservable(compArray)
filter = logical([compArray.obs]); |
function [finalPic, histNew, histOld] = hist(image)
maximum = max(image(:));
minimum = min(image(:));
range = maximum - minimum;
histOld = zeros(256,1);
histNew = zeros(256,1);
for i = 1:length(image(:,1))
for j = 1 : length(image(1,:))
% disp(ima... |
% save_3D_matrix_as_gif
% ---------------------
% Function that saves a 3D matrix in a gif image.
%
% input:
% filename = the desired name of the output file
% e.g.: 'C:\Users\John\Desktop\animation.gif'
% or 'animation.gif' (saves in current folder)
% matrix = the 3... |
function f=hw3fun(x,a)
% assignment 3; problem 4;
f=(x.^a) .* tan(x);
end |
% RTO/RTE Oscilloscope example using SING command with STB polling synchronization
% Make sure you have installed NI VISA 15.0 or newer
% This example does not require MATLAB Instrument Control Toolbox
% It is based on taking advantage of .NET assembly called Ivi.Visa
% that is istalled together with NI VISA 15.0 or ne... |
% Sarah's code to analyze the ephys experiments
clear all; close all;
%(in this code, you need to change lines 4 through 12 if necessary)
outputcell = 'A0'; % I presume this is the channel that reads the cell's response
file = 'example'; % rename file!
hyperpolsweep = 1;
pAincrease = 20;% pA increase per sweep! (in ... |
% Reads an eyetribe file saved as a result of a tcpip recording...
%
% * Author: Ian Stevenson
% * This work is licensed under a Creative Commons Attribution 4.0
% International License (https://creativecommons.org/licenses/by/4.0/).
function F = readTETfile(fname)
fid = fopen(fname);
tline = fgetl(fid);
F=[];
whi... |
% Copyright (c) 2017, Amos Egel (KIT), Lorenzo Pattelli (LENS)
% Giacomo Mazzamuto (LENS)
% All rights reserved.
%
% Redistribution and use in source and binary forms, with or without
% modification, are permitted provided that the following conditions are met:
%
% * Redistributions of source ... |
stems=fix(Attacks/10);
leaf=fix(rem(Attacks,10));
[stems, index]=sort(stems,'ascend');
leaf=leaf(index);
[a,b]=hist(stems,unique(stems));
n=length(a);
b(n);
start = 0;
fprintf('Attack points made by women volleyball player in FIVB 2020 (Preliminary Round)\n');
for ii=1:n
fprintf('%2d | ',start);
while b(ii) > s... |
classdef TPA_MultiTrialDataManager
% TPA_MultiTrialDataManager - Collects Behavioral and TwoPhoton info from all the relevant trials
% Inputs:
% BDA_XXX.mat, TPA_YYY.mat - data base
% Outputs:
% data for different graphs and searches
%-----------------------------
% Ver Date... |
%% Analysis parameters
%ps.path = './data/';
%ps.fname = 'cix22_04Feb2019.mat';
ps.baseInds = 1:1000;
ps.respInds = 1000:2000;
ps.dFBLWindowLen = 500;
% Pre/post are ms before/after stimulus onset
ps.dFWindow = [-1000,3000];
% Response period length
ps.lickWindow = 1500;
ps.hitRateLB = 0.3;
ps.faRat... |
load('trainparameters.mat');
load('../data/k_fold_partitions_data.mat');
%VARIABLE number of epoch
MAX_EPOCH = 1000;
% set of integer versions of our labels
labels = 1:6;
% Confusion matrix: "actual class" x "predicted class"
CM = zeros(length(labels), length(labels));
success_count = 0;
total_test_count = 0;
foldCou... |
%求向量X的熵,(概率为0时，它对熵的贡献为0)
function H_X=Entroy(X)
n=length(X);
X_1=nnz(X);%向量X中含1的个数
X_0=n-X_1;%向量X中含0的个数
p_0=X_0/n;%向量X中0出现的概率
if p_0==0
I_0=0;
else
I_0=-p_0*log(p_0);
end
p_1=X_1/n;%向量X中1出现的概率
if p_1==0
I_1=0;
else
I_1=-p_1*log(p_1);
end
H_X=I_0+I_1;%向量X的熵H_X
|
function valor = my_trap(f,a,b,k)
n = length(k); TT = [];
ve = integral(f,a,b);
for i = 1:n
h = 1/(2^k(i));
x = a:h:b; y = f(x);
w = [1 2*ones(1,length(y)-2) 1];
valor = sum(y.*w*(h/2));
TT = [TT; k(i), h, valor, abs(valor-ve), fix(-log10(2*abs(valor-ve)))];
... |
function [ H ] = Hest(p1, p2)
p1 = p1./p1(3,:);
p2 = p2./p2(3,:);
K = [];
for i = 1 : length(p1)
K = [K; kron(p2(:,i)', CrossOp(p1(:,i)))];
end
[U, S, V] = svd(K);
H = V(:,end);
H = reshape(H, [3,3]);
X1 = p1;
Mean1=mean(X1')';
X1(1,:)=X1(1,:)-Mean1(1);
X1(2,:)=X1(2,:)-Mean1(2);
S1=mean(sqrt(diag(X1'*X1)))/sq... |
function [ BGobj ] = ConstructNetwork( outputBubbleCell )
% INPUT: outputBubbleCell from the results of MSER from each preprocessing
% methods
% OUTPUT: Biograph object
% -- Mapping outputBubbleCell into Biograph object
% - Count no of bubbles
bubCounts = 0;
numCell = size(outputBubbleCell);
numCell = numCell(2); ... |
%%Run This Before Starting Simulink
c1=1.2801; % maximum value of friction curve
c2=23.99; % friction curve shape
c3=0.52; % friction curve difference between the maximum value and the value at lambda =1
c4=0.03; % wetness characteristic value (Lies b/w 0.02 and 0.04 s/m)
m=342; %kg
r=0.33; %m
jw=1.1... |
function varargout = boxplotGrowthParameters(datafile,statistic,varargin)
% boxplotGrowthParameters - Generates a box plots of the average growth
% parameters in each concentration/level of a specific condition
%
% boxplotGrowthParameters(input,statistic)
% boxplotGrowthParameters(input,statistic,levels,strains,... |
function sperling_burdett
RE = 6378;
muC = 398600.44;
rt0 = [RE 0 0]';
vt0 = [-0.1 1.0*sqrt(muC/RE) 0.01]';
tspan0 = [0 1e6];
% Step 1
s = 0;
r0 = norm(rt0);
a = r0
b = rt0'*vt0;
tau = t0;
alpha = rt0;
beta = r0*vt0;
... |
%Joint angles of Wearable Jacket connected with Kinect
clear all;
close all;
clc;
telapsed = 0;
i = 1;
flag = 0;
cd('F:\github\wearable-jacket\matlab\kinect+imudata\');
cd('F:\github\wearable-jacket\matlab\kinect+imudata\');
tt = 0;
lkinef = 0;
% strfile = sprintf('wearable+kinecttesting_%s.txt', datestr(now,'mm-dd-y... |
clearvars; clc;
H = 5;
dtc = 1;
Strategy = {'HorizonOne','LongHorizon','Move_To_Closest_Target','Random'};
current_strategy = Strategy{2};
Time = 100;
MC_Results.est = cell(Time,1);
MC_Results.meas = cell(Time,1);
MC_Results.model = [];
MC_Results.truth = [];
for i=1:10:100
j = i + 9;
disp(num2str(i));
... |
function [X,d,out,handles] = plotDesign(ons,rt,TR,varargin)
% [X,d,out,handles] = plotDesign(ons,rt,TR,varargin)
%
% simple function to plot a design
% plots regressors and color-coded onset times as little sticks, with RT represented as height of the stick
%
% Inputs:
% ------------------------------------------------... |
function [residual, evec_n, eval] = modal_residuals_split(vec, mics, order, winsize, alpha)
% modal residuals - find residuals from modal decomposition with regularization, "split" across each filter channel
% performs a regularized linear regression and computes residual vectors decomposed along modal basis
% [r... |
function im=generate_face_from_weights(weights_of_face,eignfaces_blk)
im=zeros(450,300);
for i=1:1:100
im=im+weights_of_face(i).*eignfaces_blk(:,:,i);
end
im=uint8(im);
|
close all;
clear all;
clc;
%{
Options.Resize=false;
ObjectDetection('Images/1.jpg', ...
'HaarCascades/haarcascade_frontalface_alt.mat', ...
Options);
%}
sets = 40;
picsPerSet = 6;
% image sets that feature a female subject
females = [8, 12, 14, 15, 22, 30, 35];
Options.Resize=false;
for i=1:sets
for j=... |
clc, clear all, close all
%% Titik dan Garis
xz = [4 5 4.3 5];
xa = xz(1);
xb = xz(2);
za = xz(3);
zb = xz(4);
tic
[pilih_sel,titik,d]=rayline(xa,za,xb,zb)
t1=toc;
% tic
% [Coords]=brlinexya(xa,za,xb,zb);
% t2=toc;
garis = [xa za xb zb]
%% Gambar
if xa>xb
buffer_xa=xa;
xa=xb;
xb=bu... |
%{
2017.05.20 BDP Assignment_5
%}
function main
import_data = importdata('trainingset.txt');
data = import_data.data(:, [1 2 3]);
%plot(data(:, 1), data(:, 2),'.');
%hold on;
test_data = importdata('testset.txt');
dataT = test_data.data(:, [1 2 3]);
tic;
[w1, w2] = Perceptron(data); %Perceptron Algorithm
toc;
%... |
classdef NoTransform < ATransform
% No transformation
properties (SetAccess=protected)
end
methods
function obj = NoTransform()
% Constructor for no transform
end
function init(obj,varargin)
% Initialization of no transform
... |
%% Stelling 17
%
% De element-wise AND-operator kan ook worden
% toegepast op een vector.
%
Antwoord = NaN; % vul hier het juiste antwoord in 1 (WAAR) of 0 (ONWAAR)
|
%%%essai
function f = fun(x,b,tau_opt)
%%%%
f= growth_response(x).*frac_max_vectoriel(x,tau_opt,b);
%%%%
end |
function [] = generate_graph3( rating_vs_price )
%Generates thir graph of rating vs price
rating_vs_price = cell2mat(rating_vs_price);
rating_vs_price = sortrows(rating_vs_price);
rating_vs_price(isnan(rating_vs_price)) = 0;
%Splits listings based on rating
[bincounts,ind] = histc(rating_vs_price(:,1), [0:10:... |
%% load in subject
% do RT task, and priming
%
close all;clear all;clc
% this is from my z_constants
Z_ConstantsStimResponse;
subjdir = getenv('SUBJECT_DIR');
DATA_DIR = fullfile(subjdir,'\ConvertedTDTfiles');
sid = SIDS{5};
for s = 2:3
% load in data
if (strcmp(sid, 'a1355e'))
... |
% TPA_TestMotionClassificationSimpleDNN - Test Motion analysis
% using stack of several images.
%-----------------------------
% Ver Date Who Descr
%-----------------------------
% 27.01 14.10.17 UD Created .
%-----------------------------
%% load data
[XTrain,YTrain] = digitTrain4DArrayData;
%% select small tr... |
function output = fillRowState(output, i, searchMatrix, condensedStates, timeData, filenames, selection)
%This is the most important (and most general) search function,
%which actually calculates all the data which goes into "output"
%and then puts it there, one row at a time
%called by defaultStateAnal... |
function v = rss(A, B)
assert(isequal(size(A), size(B)));
if size(A,1) == 1
A = A'; B = B';
end
v = (A-B)'*(A-B);
end
|
function f_k_ksub = getAlgebraicFunction(obj,k,ksub)
f_k_ksub = obj.f{k,ksub};
end
|
tic;
haze_removal('forest.jpg');
% haze_removal('test1.jpeg'); % Landscape small
% haze_removal('test2.jpg'); % Dark Forest
% haze_removal('test3.jpg'); % Chinese buiding
% haze_removal('test4.jpg'); % Aerial town vies
% haze_removal('test5.jpg'); %Stadium
% haze_removal('test6b.jpg'); %Aerial city without atmos
% haz... |
clear;
clc;
[y,Fs] = audioread('my_a_unit.wav');
y_clip = y(10:117000);
y_len = size(y_clip,1)/2;
y_clip_A = y_clip(1:y_len);
y_clip_B = y_clip(y_len+1:end);
A_in = y_clip_A.*[1/y_len:1/y_len:1]';
B_out = y_clip_B.*[1:-1/y_len:1/y_len]';
mid = A_in+B_out;
result = [y_clip_A;mid;mid;mid;mid;mid;mid;y_clip_B];
% N = 50... |
classdef GtPattern
%GTPATTERN Object that represents a pattern devised by Gelfand and Tsetlin.
%
% /m_{1,N} m_{2,N} ... m_{N,N}\
% | m_{1,N-1} ... m_{N-1,N-1} |
% M = | ... |
% | m_{1,2} m_{2,2} |
% \ m_{1,1} ... |
function [P,Q] = Proj_inverter(xt, yt, Ux, Sx);
theta = atan(sqrt(Sx^2 - Ux^2)/Ux);
theta_t = atan(yt/xt);
if xt^2 + yt^2 <= Sx^2 && xt <= Ux
x2 = xt;
y2 = yt;
else
if abs(theta_t) > theta
xx = [xt yt].'*Sx/sqrt((xt^2 + yt^2));
x2 = xx(1);
y2 = xx(2);
end
if ... |
function [obj varargout] = variability(varargin)
%@variability/variability Constructor function for VARIABILITY object
% OBJ = variability(VARARGIN)
Args = struct('RedoLevels',0,'SaveLevels',0, ...
'Auto',0,'CellName','','SurrogateFF','framesg', ...
'SurrogateTRE','framesgTRE','FrameBins',10, ...
'LastGr... |
function marginal_scores = RBES_compute_marginal_instrument_scores(arch)
all = RBES_get_parameter('instrument_list');
%% eval complete arch
% [results] = SEL_evaluate_architecture3(arch);
[ref_science,~] = PACK_evaluate_architecture3(arch);
fprintf('Ref score of arch is %f\n',ref_science);
% ref_science = results.scie... |
%% PARTICIPANTS
f = figure();
load([pwd(),filesep,'data',filesep,'all_data',filesep,'data.mat']);
zoodiff_versus_countdown;
title('Participant data');
xlabel('Trials');
ylabel('Goal difference');
ax = gca;
ax.XTickLabel = '';
ax.YTickLabel = '';
ax.YAxis.Color = [1,1,1];
ax.YTick = [];
%% FITS
f = figu... |
function L = kloren(x, coef)
% returns the lorentzian function centered at x0 with full width half
% coef =[x0, w, a, y0]
% if desired, this can be scaled by a and offset vertically by y0
%
%
[nplot ncoef] = size (coef);
if ncoef<4, y0=repmat(0,nplot,1); else y0=coef(:,4); end;
if ncoef<3, a=repmat(1,nplot,1); ... |
function [path, parent] = A_star(loc,start_state, goal_state)
% f(s) = h(s) + g(s)
% g(s): actual cost from start state to state s
% h(s): estimated cost of the cheapest path from s to goal_state =>
% h(s) = norm(pos(s) - pos(goal))
% Actions = {N, S, E, W, NW, NE, SW, SE} |A| = 8
actions = [0 1; 0 -1; 1 0; -1 0; -1 1... |
classdef DagGaussJointGaussInfEng < JointGaussInfEng
%DAGGAUSSJOINTGAUSSINFENG
properties
model;
end
methods
function eng = DagGaussJointGaussInfEng(varargin)
%
end
function computeLogPdf(eng,varargin)
%
notYetImplemented('DagGaussJointGaussInfEng.computeLogPdf()');
end
function comp... |
classdef ClothoidList < handle
%% MATLAB class wrapper for the underlying C++ class
properties (SetAccess = private, Hidden = true)
objectHandle; % Handle to the underlying C++ class instance
end
methods
% - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
function self = Clothoi... |
function [S, U, EST_COV, TR_V, ERR_V] = ...
estimation_with_no_delay_knowledge(Param, Grid, TrueProfiles, Meas, IC)
% Implement standard KF on a synthetic loadcase assuming measurements
% expressed in polar coordianates and no delay knowledge (which is not
% compensated)
% given parameters, loadcase, true profiles,... |
function [ model ] = updateMu(X,y,model)
%UPDATEBETA Summary of this function goes here
% Detailed explanation goes here
initialMu=model.mu;
func4fminunc=@(mu)func2minimize(X,y,model,mu);
matrix4constraint=-eye(length(model.mu),length(model.mu));
matrix4constraint(1,1)=0;
if length(model.mu) > 1
... |
function g = grad(w, x, y)
%g = ((-y.* x) * exp(-y.*(w*x')'))/(exp(-y.*(w*x')')+1);
g = (-y.* x) * (1/(exp(y.*(w*x')')+1));
end
|
%--------------------------------------------------------------------------
% this function is used to use FaceSpace vectors to calculate CIF estimates
% for all syndrome groups
%
% refactored by Christoffer Nellaker 140407
%
%
% --------------------------------------------------------------------------
if isdeployed... |
%% Vehicle Articulated Nonlinear
%
% <html>
% <script src='https://cdn.mathjax.org/mathjax/latest/MathJax.js?config=TeX-AMS-MML_HTMLorMML'></script>
% </html>
%
%% Theory
% <../theory/vehicleArticulated.pdf Articulated equations of motion>
%
%% Sintax
% |dx = _VehicleModel_.Model(~,estados)|
%
%% Arguments
% The follow... |
function [Ktrans, kep, ve, ok, error_msg] = extract_PK_params(PK_Params_Struct, PK_parameterisation, field_suffix)
Ktrans = []; kep = []; ve = []; ok = false; error_msg = [];
PK_varnames = regexp(PK_parameterisation, ' ', 'split');
for v=1:length(PK_varnames)
field_name = strcat(PK_varnames{v}, field_suffix);
i... |
function [Xpred, sigma_xx, sigma_yy, sigma_tt, NEES, t] = q1_ukf_nonlinear_obs( mu,sigma, xtrue, ztrue, t, g, T, rho_0, k_rho, Q, R)
alpha = 0.75;
beta = 2;
k = 3;
n = 3;
lambda = (alpha^2)*(n+k) - n;
sgma_pts = zeros(n, 2*n+1);
w0m = lambda/(n + lambda);
w0c = w0m + (1-alpha^2 + beta);
wim = 1/(2*(n+lambda));
wic = ... |
function dataFiles = findScintFiles_sub(dirInfo)
%Load Variace Data
dirVAR = dir([dirInfo(1).folder, filesep, dirInfo(1).name, filesep, '*.ASC']);
for ii=1:length(dirVAR)
VARdate(ii) = datenum(dirVAR(ii).name(1:6), 'yymmdd');
end
%Find Unique days
[Days, ~, Ind] = unique(VARdate);
for ii=1:length(Days)
dataFi... |
%% Face recognition program
clear all;
close all;
faceDatabase = imageSet('gallery','recursive');
galleryNames = {faceDatabase.Description};
displayFaceGallery(faceDatabase,galleryNames);
%% Create HoG training features from database
trainingFeatures = zeros(60,10404);
featureCount = 1;
for i=1:size(faceDatabase,2)
... |
clear
a = 2+3
b = 2-3
c = 2*3
d = 2/3
e = 2^3
who%查詢目前的工作區內，有哪些變數在使用
whos%同who，但列出詳細資訊
clc %指令通通清光光(clear command window)
pi%圓周率
clear e %清除工作區內的變數e
h=30
J=sin(30) %三角函數(單位為弳度)
J1=sin(pi/3)
J2=sind(h)%d表單位為度(degree)
k1=asin(J1) %反三角函數(計算結果單位為弳度)
pi/3
k2=asind(J2) %反三角函數(計算結果單位為度)
k3=asind(J1)
k4=asin(J2)
clear
a0=exp(0... |
function mohcaplotf( D, seqpos, ligpos, titl, ticksize, save_path, secstr, pdb, contours, c, c2 )
% Plots 2D maps in MOHCA style
%
% INPUTS:
% D req = matrix of data to be plotted
% seqpos opt = x-axis values, RT stop positions (enter '' for default, 1 to length of x-axis data in D)
% li... |
%--------------------------------------------------------------------------
% Single POINT Positioning (SPP) using pseudorange AND phase observations
% ------------------------------------------------------------------------
% Coder : Mohammed Abou-Galala
% Date : 13-10-2021
%----------------------------... |
clc
dataDir='D:\data_main\103018_002';
stimFolder='C:\Users\amoore\akm_matlab\EphysCode\Experiment\Stimuli';
imDir_temp='C:\tmp';
try cd(dataDir); catch; mkdir(dataDir); cd(dataDir); end
%% Seal test pulses
if 1
bfig=figure;
set(bfig,'position',[2190 1190 335 135])
% Wait until start button is... |
function [VOI_avg, de_VOI_avg, stim_avg, grand_avg, eff_v] = ...
f_Dboldavg_D(subjDir, Runs, iVOI, window_len, th)
%function [VOI_avg, de_VOI_avg, stim_avg, grand_avg, eff_v] = ...
% f_Dboldavg(subjDir, Runs, iVOI, window_len, th)
% modified from f_avg_activation.m to apply to Dagfinn's data
% - Heng 06/2004
% ... |
function data = activity(data)
for i = 1:length(data)
data{i}.y_text = strings(length(data{i}.data), 1);
end
for linha = 1:length(data)
for i = 1 : length(data{linha}.y_text)
if data{linha}.y(i) == 1
data{linha}.y_text(i) = 'W';
elseif data{linha}... |
clear all; close all; clc;
%% Faulkner - Skan solution by shooting method
% Note that the paramter T in the code is \eta
% parameter Y in the code is solution f,dfdeta and d2f/deta2
global U;
global nu;
global n;
U = 1; % U infinity
nu = 1e-6; % Kinematic viscosity
... |
function gradix=gradientlin(functname,dx,x)
format compact
n=size(x);
N=eye(n(1));
DeltaX=dx.*N*ones(n(1),1)+[0;0];
xtemp=x;
for i=1:n;
x=xtemp;
D=[0;0];
D(i)=DeltaX(i);
w1=feval(functname,x+D)-feval(functname,x-D);
w2=2*DeltaX(i);
gradix(i)=w1/w2;
end
|
function magnitude = sobelEdgeDetection( img_ori )
maskX = [-1 0 1 ; -2 0 2; -1 0 1];
maskY = [-1 -2 -1 ; 0 0 0 ; 1 2 1] ;
resX = conv2(img_ori, maskX);
resY = conv2(img_ori, maskY);
magnitude = sqrt(resX.^2 + resY.^2); % L2-norm
thresh = magnitude < 101/255; % hard coding
magnitude(thres... |
function SmoothSubPlot(SID,fignum,lfe,lbd,lelbfe,lelbfe1,lie,rfe,rbd,relbfe,relbfe1,rie)
Row = find(lfe(:,3)<10);
lfe(Row,:) = [];
Row = find(lbd(:,3)<10);
lbd(Row,:) = [];
Row = find(lelbfe(:,3)<10);
lelbfe(Row,:) = [];
Row = find(lelbfe1(:,3)<10);
lelbfe1(Row,:) = [];
Row = find(lie(:,3)<10);
lie(Row,:) = [];
R... |
function movieData = convertChannelsToMovie(chData,En,varargin)
%convertChannelsToMovie converts a ChxSamples matrix to
%HeightXWidthXnFrames movie matrix according to En channel map
% varargins:
% BGVal (1x1 double)
% Value of pixels with no channels assigned to them (Usually
% corners). Default value i... |
% TLABELS ウェーブレットパケットツリーのノード用のラベル付け
%
% LABELS = TLABELS(T,TYPE,N) は、ツリー T のノード N に対するラベルを
% 出力します。
% TYPE で設定できる内容は以下のとおりです:
% 'i' または 1 --> インデックス
% 'p' または 2 --> 深さ-位置
% 'e' または 3 --> エントロピー
% 'eo' または 4 --> 最適なエントロピー
% 's' または 5 --> サイズ
% 'n' または 6 --> なし
% 't' または ... |
clear all;
clc
TIME_SLOT = 96;
% load('2016speedandcounts_correct.mat');
% load('SANTANDER_NETWORK_INFO_AIMSUN.mat');
%% This is for data loading
% % =========================================================================
% Initialization
% =========================================================================
% -... |
function [ freqlisto, spo, err, errmsg ] = spmodifydc( freqlisti, spi, dcvalue, ftol )
%% spmodifydc: modify an existing DC point in S-parameter element.
% If the freqlisti does NOT contain a DC point, an error will be returned
%
% input variables:
% freqlisti (double): list of frequencies in Hz. Col... |
function [training_data] = construct_training_data(~)
filename = 'aps_failure_training_set_processed_8bit.csv';
training_data = csvread(filename,1);
|
%% load .mats
conf = dsp2.config.load();
date_dir = datestr( now, 'mmddyy' );
epoch = 'reward';
basepl = conf.PATHS.analyses;
baseps = conf.PATHS.plots;
load_path = fullfile( basepl, date_dir, 'signals', 'shuffled_coherence', epoch );
save_path_l = fullfile( baseps, date_dir, 'lines', 'shuffled_coherence' );
save_p... |
function y= SoundMaker(noteletter,dur)
t=0:1/8000:dur-(1/8000);
rest=1; %(rest=0) when a rest note gets passed in to create an empty array
note=0;
switch noteletter %switch case to assign a numerical value to each note based on the
case"e" %equation for frequency generation
note=-5; %spec... |
function estimated_norm = estimate_norm(denominator_ind, image_buffer, opt)
% produce initial norm estimation for each pixel in the image set
% image pixels are models as p(N.L)
light_denominator = opt.light_vec(denominator_ind, :);
light_ratio = [opt.light_vec(1:denominator_ind-1, :);
opt.light_vec(denominator_in... |
function saveToFile(em, fname)
% saveToFile(eng_map object, filename)
%
% saves the eng_map data in ascii format to the file of your choice
% the variables fc_map_spd, fc_map_trq, and fc_fuel_map are defined with comments
% this is compatible with ADVISOR format
fid=fopen(fname,'w');
fprintf(fid, 'fc_map_spd = [');
fo... |
%% The LC3B Tandem Puncta Quantification
%Code requires bioformats MATLAB Toolbox and MATLAB version R2021a or
%higher
%% Creator
% Created by: Joaquin Quintana(last modified: 2021-05-06)
% Emial: Joaquin.Quintana@Colorado.edu
%% Details
% The script is designed to quantify Biofilm volumes. The biof... |
%% Definitions
clc;clear;
path='c:\data2'; fileinfo = dir(fullfile(path,'*.au')); filesnumber=size(fileinfo);
for i = 1 : filesnumber(1,1)
[signal{i} fs{i}] = audioread(fullfile(path,fileinfo(i).name));
disp(['Loading Sound No : ' num2str(i) ]);
end;
win = 0.050; step = 0.050;
%% Time domain features... |
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