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classdef signalCore5511a < qes.hwdriver.icinterface_compatible
% icinterface compatible interface for signalCore 5511a mw source
% Copyright 2017 Yulin Wu, USTC, China
% mail4ywu@gmail.com/mail4ywu@icloud.com
properties (Dependent = true)
numChnls
end
properties (SetAccess = private)
freqlimi... |
function A=fRoty(t)
A=[
cos(t) 0 sin(t)
0 1 0
-sin(t) 0 cos(t)
];
|
%% RAW DATA IMPORTER
% written by Patrick Strassmann, November 2014
% Imports behavioral data produced by Med-Associates operant boxes
%
% Various options you can change: first, change the 'username' that
% identifies you for the programs you use on the box. You can choose to
% 'autosave' fil... |
function [ bw_m2m ] = est_bw_min2min( u_x, ap )
%EST_BW_MIN2MIN Summary of this function goes here
% This funtion assumes ux_true = -1.0
ux_true = -1.0;
% Get the beamwidth of the main peak
[troughs, minloc] = findpeaks(-ap, u_x);
bw_half = minloc(1) - ux_true;
bw_m2m = 2 * bw_half;
end
|
%% Functional connectivity analysis
% model inspired by Tavor et al. to predict inter-individual differences
% in motor tasks exploiting MEG-based resting-state FC matrices.
%
% Author: Anna Vettoruzzo
% Septemeber 2021
clear all;
close all;
clc;
%% Select band, ntw, task
datadir = ['D:\Tesi\Data\']... |
folder = '5min_modes/';
dd=dir([folder,'*.csv']);
delimiter = ',';
M=3;
formatSpec = '%f%f%f%f%f%f%[^\n\r]';
data = cell(floor(length(dd)/M),M);
for ii=1:length(dd)
filename = dd(ii).name;
index=strsplit(filename,'_')
kk=str2double(index{1});
ll=str2double(index{2});
fileID = fopen([folder,f... |
function hough_transform_Canny(img,r_min,r_max,t1,t2,g1,sigma)
subplot(2,2,1)
imshow(img);
img=rgb2gray(img);
gaussianFilter = fspecial('gaussian',g1, sigma);
blur_img=conv2(img,gaussianFilter);
BW = edge(blur_img,'Canny',t1);
subplot(2,2,2)
imshow(BW)
centers = zeros(30, 2);
radii = zeros(si... |
function [the,Te,Hb,dE] = frestemp(Te,the,rhoe,pe,hbl,z,dz,dt)
S = size(Te);
pes = repmat(pe,1,S(2));
tmp = abs(z-hbl);
bl2 = find(tmp==min(tmp));
sig = 5.67e-8; % J/s/m^2/K^4
% Tm = 236; % K
% Make radiation a function of mean temperature instead:
% Tm = mean(nanmean(Te(bl2+1:end,:)));
Tm... |
function [orbit,fixedpoint] = findorbit6(RING,varargin)
%FINDORBIT6 finds closed orbit in the full 6-d phase space
% by numerically solving for a fixed point of the one turn
% map M calculated with RINGPASS
%
% (X, PX, Y, PY, DP, CT2 ) = M (X, PX, Y, PY, DP, CT1)
%
% with constraint % CT2 - CT1 = C*HarmNumber(1... |
%1998年全国大学生数学建模竞赛A题：收益与风险 模型求解
%参看《数学的实践与认识》1999年第一期，p39-42
%另见 jm98a2,jm983,jm983fun
clear;close;
%问题一投资目标曲线
n=4;
r=[28 21 23 25 5]'/100;
q=[2.5 1.5 5.5 2.6 0]'/100;
p=[1 2 4.5 6.5 0]'/100;
u=[103 198 52 40 100]';
lemda=0;
for i=1:11
c=[(1-lemda)*(p-r);lemda];
A1=[(1+p)', 0];
A2=[diag(q(1:n)),zer... |
clc; clear all;
% Im = imread('../asset/image/example.png');
% Im = imread('../asset/image/1.png');
% Im = imread('../asset/image/2.png');
% Im = imread('../asset/image/3.png');
% Im = imread('../asset/image/4.png');
Im = imread('../asset/image/5.png');
RGB = Im;
Im = im2bw(Im);
hold on
Im = clear_boundary(Im);
imshow... |
function hideInLegend(h)
% prevent object h from appearing in legend by default
for i = 1:numel(h)
if ~isGraphicsHandle(h(i)), continue; end
ann = get(h(i), 'Annotation');
leg = get(ann, 'LegendInformation');
set(leg, 'IconDisplayStyle', 'off');
end
end
function mask = isGra... |
clear
addpath('results','5th_hidstate')
W5_temp=load('alloy2_5th(rbm)_(2f40f288f1000f6ws9ws9ws36wsP10Pb0401)_alloy_w1_b30_trans_ntx1_gr1_pb0_pl0_iter_20000.mat');
W4_temp=load('alloy2_4th(rbm)_(24f40f288f1000f6ws9ws9ws36ws)_alloy_w36_b1000_trans_ntx1_gr1_pb0.1_pl10_iter_2000.mat');
W5=gather(W5_temp.weight.vishid);
vb... |
load('twomoons_sk.mat')
rng(9999)
n = length(fea);
n_labels = length(unique(gnd));
% data normalization
% feastd = std(fea);
% feastd(feastd == 0) = 1; % some pixels are 0 in all images
% fea = (fea - mean(fea)) ./ feastd;
% number of sets of samples
n_sets = 10;
% number of samples in each set
n_samples = 20;
% sigma... |
classdef aircraft
properties
m = 4.5;
rho = 1.225;
S = 0.473;
g = 9.806;
Cd0 = 0.0173;
Cd1 = -0.0337;
Cd2 = 0.0517;
b = 3;
p = 1;
x
u
coeffs
tf
VR
N
solution
end
methods
... |
t=0:0.001:1;
fs=5000;
ts=1/fs;
t_samples=0:ts:1;
xn=xt(t_samples);
%stem(t_samples,xn);
B=8;
y=quant(xn,2^B,-1,1);
%hold on
%stem(t_samples,y);
%hold off
n=t_samples;
figure;
subplot(3,1,1);
stem(n,xn);
title('Sampled signal')
xlabel('n')
ylabel('x[n]')
subplot(3,1,2);
stem(n,y);
title('Quantized signal L=256')
xl... |
% Draw the introduction text in the middle of the screen
Screen('TextSize', window, 60);
Screen('TextFont', window, 'Courier');
DrawFormattedText(window, 'Choose Right or Left', 'center',...
screenYpixels * 0.25, white);
%
ResultsFolder = 'C:\toolbox\results\'; %put the results in the \results folder
Righ... |
% single link arm - parameter file
addpath ./.. % adds the parent directory to the path
VTOLParam % general arm parameters
% tuning parameters
%tr = 0.8; % part (a)
tr = 0.4; % tuned to get fastest possible rise time before saturation.
zeta = 0.707;
% equalibrium angle and torque
% P.z_e = 0;
P.f_e = P.mc*P.g+2*P.m... |
#!/usr/bin/octave
args = argv(); % command line arguments
% load all coordinates
if (length(args))
fp = fopen(args{1}, 'r');
else
fp = fopen('monitoring.csv', 'r');
end
% read data in goups of ten values, nn total number of items read
[points, nn]=fscanf(fp, '%d;%f;%f;%f;%d-%d-%d %d:%d:%d', [10, Inf]);
fclos... |
clear
clc
d=10e-3;
Re=1000;
mi=1.0016e-3;
ro=1e3;
R=d/2;
r=0:1e-4:R;
u=Re*mi/(ro*d);
Q=pi*(d^2)*0.25*u;
dpl=8*Q*mi/(pi*R^4);
vx=dpl*(R^2)/(4*mi).*(1-(r.^2)/(R^2));
figure(1);
grid on;
grid minor
hold all
plot(vx,r,'r');
plot([0 max(vx)],[-max(r) -max(r)],'b');
%legend('Ścianka rury','Profil pr... |
classdef PID_controller < handle
properties
Kp;
Ki;
Kd;
last_time;
last_error;
total_error;
error;
set_point;
end
methods
function self = PID_controller(set_point, Kp, Ki, Kd)
if nargin > 3
self.set_point =... |
function [ newPosPCTmat, log ] = reviseHoldingPCTmat( posPCTmat, holdableMat )
% 修正持仓矩阵：不可持仓的股票持仓量为0，其他票rebalance。只能对pctmat进行调整，否则无法保证没有出入金
% [ newPosPCTmat, log ] = reviseHoldingPCTmat( posPCTmat, holdableMat )
% posPCTmat： 持仓占比矩阵，TsMatrix类
% holdableMat：可持仓矩阵，TsMatrix类，或者直接简单矩阵，默认取IPO后涨停打开
% ------------------... |
%% Load dataset
projectName = 'ColorImagePriors';
thisImageSet = 'CIFAR_all';
dataBaseDir = getpref(projectName, 'dataDir');
testData = 'image_cifar_all_gray.mat';
dataInDir = fullfile(dataBaseDir, thisImageSet, testData);
load(dataInDir);
imageTr = image_all_gray(1:9.5e4, :);
imageTe = image_all_gray(9.5e4+1:end, :)... |
%% Linear Offset Test
% Create a pair of linear Gaussian curves with a shifted mean
x = linspace( -5, 5, 1000 );
y = zeros( size( x ) );
sigma = [1 1];
offset = [1,0];
theta = 0;
xs = x + offset(1);
ys = y + offset(2);
z = stats.gauss2d( x, y, sigma, 0, theta );
zs = stats.gauss2d( x, y, sigma, offset, theta );
... |
% Calculate robot end-effector displacement
%
% Using:
% showDef_lin(F);
% Input: F - force vector (Fx,Fy,Fz,Mx,My,Mz) example: F = [100;00;0;0;0;0];
% Output: none
function showDef_lin_q(x,y)
clear all
L = 300e - 3;
l = 100e - 3;
d = 300e - 3;
for i = 1:length(x)
% disp(i/length(x)*100)
for j = 1:length(y... |
function measureSelective(parameters)
% Specify save directory and load spreadsheet URL
home_folder = mfilename('fullpath');
slash_idx = strfind(home_folder,filesep);
home_folder = home_folder(1:slash_idx(end-1));
load([home_folder, 'locations.mat'],'-mat')
if ~exist(locations.scope)
error(['Invalid mount locatio... |
% RatSLAM script file for the Axon Level 5 dataset
% Copyright (C) 2008 David Ball (d.ball@uq.edu.au) (MATLAB version)
% Michael Milford (m.milford1@uq.edu.au) & Gordon Wyeth (g.wyeth@uq.edu.au)
%
% This program is free software: you can redistribute it and/or modify
% it under the terms of the GN... |
function mat = norm_matrix(bits, fNumber, N)
%norm_matrix loads norm matrix for given bits and fermion number
% Detailed explanation goes here
[len, rawdata] = norm_raw_data(bits, fNumber);
mat = zeros(len);
%display(rawdata)
%display(rawdata(1, 2))
order = floor((bits + 1) / 2);
%display(orde... |
function [sources_int, sources_nonint, P_ar] = generate_sources_ar(fs, len, bandpass, pow)
% Stefan Haufe, 2014, 2015
% stefan.haufe@tu-berlin.de
%
% If you use this code for a publication, please ask Stefan Haufe for the
% correct reference to cite.
% License
%
% This program is free software: you can red... |
function model = TwoPoolO1()
% Symbolic variables
syms m10 m01
syms p1 p2 p3 p4
% Parameters
model.sym.p = [p1;p2;p3;p4];
% State variables
model.sym.x = [m10;m01];
% Control vectors (g)
model.sym.g = [0;0];
% Autonomous dynamics (f)
model.sym.xdot = [p4 ... |
function [ ] = writeMesh( mesh, filename )
% [ ] = writeMesh( mesh, filename )
% write out mesh in .OBJ format
fid = fopen(filename, 'w');
has_tex = ( size(mesh.u,1) == size(mesh.v,1) );
has_normal = ( size(mesh.n,1) == size(mesh.v,1) );
for i = 1:numel(mesh.vidx)
fprintf(fid, 'v %f %f %f\n', mesh.... |
function this = selectShift(this, fromShift, toShift)
[~, nQuan, ~] = size(this);
posFrom = find(this.Shift==fromShift);
if isempty(posFrom)
posFrom = 1;
end
posTo = find(this.Shift==toShift);
if isempty(posTo)
posTo = length(this.Shift);
end
this.Matrix = this.Matrix(:, ((posFrom-1)*nQuan+1) : (posTo*nQuan))... |
i = 0;
Fvec = [1 0 1.2 3];
coefficients = conv(Fvec, Fvec);
while i < 3
coefficients = conv(coefficients, Fvec);
i = i+1;
end
coefficients
|
function [structuralPath,functionalPath,BC_V_Workspace] = download_testdata(testDataPath,BC_V_Workspace)
if(~isfolder(testDataPath) && ~isequal(testDataPath,fullfile(pwd,'data')))
disp("The testData path is not a folder");
return;
end
if(~isfolder(fullfile(pwd,'data')) && isequal(testDataPath,fullfile(pwd,'dat... |
function variance = getVarianceInPatch( binDev, absDev )
[m,n] = size(absDev);
binDev(isnan(binDev)) = 0;
absDev(absDev==0) = nan;
area = sum(sum(binDev));
covPoints = zeros(1,area);
i=1;
for x=1:m
for y=1:n
if(~isnan(absDev(x,y)))
covPoints(i) = absDev(x,y);... |
function result = extractspm2()
%
% function result = extractspm2()
%
% Luis Hernandez
% lastedit: 3-24-98
% returns the xyz coordinates (in pixel units) and the
% intensities of all the non-zero elementsin an
% analyze format image set
%
% It also computes the center of mass of the spm maps
% and it counts the number ... |
function [wlair,dwl]=wlrefrac(wl,p,t)
%function [wlair,dwl]=wlrefrac(wl,p,t)
% 12 5 98 julian
% calculates wavelength shift in nm for P and T
% dwl = wlvac-wlair
% p should be in mbar
% wl is wl vacuum
if nargin<3,t=15;end
if nargin<2,p=[];end % in Pascal
if isempty(p),p=1013.25;end % p in mbar
p=p*100 ... |
function [ dW, dT ] = GetDeltaWeights( weights,output,theta,target,eta )
nW = length(weights);
V = output(1:end-1);
weights{nW+1} = (target-output{end});
dW = cell(1,length(V));
dT = cell(1,length(V));
delta = 0;
% Recursion formula for backpropogation
for i = 1:length(V)
b = weights{end-i}*V{end-i+1}-theta{end-i+1... |
%% AUTHOR
% Fabricio Loor, faloor@unsl.edu.ar, PhD Student at UNSL
%% ALGORITMH: AJSO
% This algorithm is based on SHADE. AJSO introduces several changes in
% mutations and in the way of updating the factors of mutation and crosover
%%
% THIS SCRIPT IS BASED ON THE WINNER CODES IN THE TEST BED 2 ON THE
% IEEE 2017 and... |
function [output] = myInterp(img, N)
img = double(img);
output = interp_sub(img);
output = permute(output, [2 1]);
output = interp_sub(output);
output = permute(output, [2 1]);
function [out] = interp_sub(input)
[H, W] = size(input);
out = zeros(H, W*N);
out(:, 1:N:end) = input;
... |
function elem=atcorrector(fname,varargin)
%ATCORRECTOR creates a drift space element with class 'Corrector'
%
% ATCORRECTOR(FAMNAME,LENGTH,KICK,PASSMETHOD)
%
% FAMNAME family name
% LENGTH length [m]
% KICK [hor. kick vert. kick] [rad]
% PASSMETHOD tracking function, defaults to 'CorrectorPass'
%... |
function mov = applyTracking(gui,mov,time)
frnum = floor(time*gui.data.annoFR)+1;
if(isempty(gui.data.tracking.active{frnum})&frnum>1)
gui.data.tracking.active{frnum} = gui.data.tracking.active{frnum-1};
end
if(isempty(gui.data.tracking.inactive{frnum})&frnum>1)
gui.data.tracking.inactive{frnum} = gui.data.tra... |
function distance = distance_EMterrano(Target_Pos,Out_Table)
pos_idxs=[3 4 5];
[tmp rows]=unique(Out_Table(:,2));
for i=1:numel(rows)
distance(i)=norm(Out_Table(rows(i),pos_idxs)'-Target_Pos);
end
end |
function runGetPSTH(varargin)
% This function runs the getPSTH.m file that is used to compute the psth
% for the given channel
% use:runGetPSTH(varargin)
% inputs are:
% 'num' : channel number, should be a string . like '1'
% 'date'
% 'binsize'
% 'startTime'
% 'stopTime'
%$KK
p = inputParser;
p.addParameter('num',[],@i... |
function assigned_class = hoplscfindclass(yc,class_thr)
% assign samples for PLSC on the basis of thresholds and calculated responses
%
nobj = size(yc,1);
nclass = size(yc,2);
for i = 1:nobj
pred = yc(i,:);
chk_ass = zeros(1,nclass);
for c = 1:nclass
if pred(c) > class_thr(c);
chk_as... |
clc
clear all
sig=2.5;
S=25;
I=im2double(rgb2gray(imread('Penguins.jpg')));
for i=-floor(S/2):1:floor(S/2)
for j=-floor(S/2):1:floor(S/2)
Gc(i+floor(S/2)+1,j+floor(S/2)+1)=(2*pi*sig^2)^(-1)*exp(-(i^2+j^2)/(2*sig^2));
end
end
Gc=Gc/sum(Gc(:));
figure
surf(Gc);
figure
imshow([I conv2(I... |
clear;
close all;
figure('color','white');
% Lb=[0:0.001:66];
% n=ceil((1-0.000005).^(-8*(Lb.*1000+8+(Lb.*1000+20)/(1500-20)*28)));
Lb=[2:0.001:66];
n1=ceil((1-0.000005).^(-8*(Lb*1000+8+(Lb*1000+20)/(1500-20)*28)));
n2=ceil((1-0.000003).^(-8*(Lb*1000+8+(Lb*1000+20)/(1500-20)*28)));
time1 = (n1*20-10)*60+(n2*20-10)*12... |
% vimp=load('D:\CMTC\bothlead\Rp16\ugly\1\vimp.txt');
% [dosmap,rev,vimp]=spec_sedis_sp(1,1,.2,5,.2,1.2,300,1,vimp);
% [dosmap,rev,vimp]=spec_sedis_sp(1,1,.2,5,.2,3,300,1,vimp);
vimp=load('D:\CMTC\bothlead\Rp16\ugly\2\vimp.txt');
[dosmap,rev,vimp]=spec_sedis_sp(1,1,.2,5,.2,1.2,300,1,vimp);
[dosmap,rev,vimp]=spec_sedis_... |
function c = cost(sfile,tNow,xFinal,mdl,wave,ss,pto,l)
% cost.m E.Anderlini@ed.ac.uk 06/03/2017
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% This function returns the mean generated power as cost function for the
% optimization of the latched mode duration.
% N.B.: Instea... |
function [noised_signal, noise, r] = randNoise(signal, sampling_frequency, line_frequency, noise_ratio)
%TODO: remove the noise first?
samps_per_cycle = sampling_frequency/line_frequency;
MIN_SAMPS_PER_CYCLE = 60;
if(samps_per_cycle > MIN_SAMPS_PER_CYCLE)
interp_mode = "linear";
else
... |
function [] = save_results( fullpaths,data )
%UNTITLED4 Summary of this function goes here
% Detailed explanation goes here
disp('Saving results as excel files...');
[folder_name,~,~]=fileparts(fullpaths{1});
FilterSpec = {'*.xls', 'Excel Spreadsheet (*.xls)'}; %set the filter for the next ui dial... |
function Iout = noiseReduction(I,N)
% that calculates first any average filter mask of size NxN and applies it to the input image.
B = ones(N,N) * (1/N)
Iout = zeros(256,256)
for x = 1:256
for y = 1:256
for i = x:(x+N-1)
for j = y:(y_N-1)
Iout(x,y) = Iout(x,y) + I(i,j)*B(i-x+1,j-... |
clear
clc
load('lambda=1.0.mat')
yH2O(1) = sum(exGas.dmCond.H2O);
yH2SO4(1) = sum(exGas.dmCond.H2SO4);
yHNO3(1) = sum(exGas.dmCond.HNO3);
ratio(1) = mean(exGas.y.HNO3.iMix ./ exGas.y.H2SO4.iMix);
load('lambda=1.1.mat')
yH2O(2) = sum(exGas.dmCond.H2O);
yH2SO4(2) = sum(exGas.dmCond.H2SO4);
yHNO3(2) = sum(exGas.dmCond.H... |
function [output] = setParams(fWeight, pCH, nodeAmount, maxEnergy, distrMode)
params = struct;
%%%%%%%%%%%%%%%%%%%% Network Establishment Parameters %%%%%%%%%%%%%%%%%%%%
%%% Area of Operation %%%
% Field Dimensions in meters %
params.xm=100;
params.ym=100;
params.x=0; % added for better display results of ... |
% =========================================================================
% Function: GetTubularShearStressSF
%
% Parameters: shearForce(Nmm), innerDiameter (mm), outerDiameter (mm),
% yieldStrength (MPa)
%
% Outputs: n (turbular shear stress safety factor)
%
% Description: Calculates the shear stress sa... |
%% Initialization
clear ; close all; clc
%% ======================= Part 1: Plotting =======================
fprintf('Plotting Data ...\n')
data = load('ex1data.txt');
X_origin = data(:, 1:end-1); y = data(:, end);
m = length(y); % number of training examples
% Plot Data
plotData(X_origin, y);
fprintf('P... |
function [ sig_long, sig_short, cle ] = Cle(bar, mu_up, mu_down)
%UNTITLED2 Summary of this function goes here
% Detailed explanation goes here
if ~exist('mu_up', 'var'), mu_up = 0.05; end
if ~exist('mu_down', 'var'), mu_down = 0.05;end
close = bar.close;
nAsset = size(close, 2);
sig_long = zeros(size(close));
sig_... |
filename = input('Enter the compressed image file name for decoding: ','s');
fprintf('\n Reading the file ...');
bin=binIn(filename);
nn=bin(1:9); bin=bin(10:length(bin));
nn=char(nn+48); nn=double(bin2dec(nn)); inc=200^(1/511); delta=0.5*inc^nn;
fprintf('\nThe decoded image will be saved as a ".tif" file.');
fname... |
% %%%
% % CsgA in WT
% %%%
% fnames = {'/Volumes/Scratch/Chris/Paper2_Rippling/Results/Csga Development/csgA in WT/A_30/', ...
% '/Volumes/Scratch/Chris/Paper2_Rippling/Results/Csga Development/csgA in WT/A_31/', ...
% '/Volumes/Scratch/Chris/Paper2_Rippling/Results/Csga Development/csgA in WT/DEV_1... |
function [G0] = findRefPoint(G)
% find the reference point from a set of measured points
% the mid point in this case is taken as the reference point
% G [3,N]: input pts
% G0 [3,1]: reference pts
G0 = sum(G,2)./size(G,2);
end |
function index = get_condition_index2(convergence_data,condition)
rare = find(convergence_data(:,10)== -100);
% rare = [1:length(convergence_data)]';
if(strcmp(condition,'convergence'))
temp = find(~isnan(convergence_data(:,1)));
index = intersect(temp,rare);
elseif(strcmp(condition,'noch'))
tem... |
norsp=normalize(sp);
sum=0;
m=length(vzlist);
parfor i=1:m
% disp(i);
sum=sum+norsp(i,:).'*norsp(i,:);
end
sum=sum/m;
[v,d]=eigs(sum,2);
y=norsp*v;
% figure;
% scatter(y(:,1),y(:,2),[],vzlist)
% scatter(vzlist,y);
% scatter(y(:,1),y(:,2));
|
function [adjmat] = presegm( neighb, affinity, k, adj_thr)
%PRESEGM performs a screening of relevant EEG predictors by grouping the candidate set into clusters to improve
% efficiency and to reduce computational load.
% adjmat=PRESEGM(neighb, affinity, k, adj_thr) where the input adjacency matrix 'neighb'
% exclud... |
function est = estimator(y, model_estimator)
% est = estimator(y, model_estimator)
%
% This function runs a state estimator on the noisy sensor data.
est = y; %For now, assume perfect sensors
end |
function [ best_param, perform_mat] = TuneParam_lasso3...
(param_range,data,Trnidx,vadratio)
%% INPUT
% data: original data
% YearCutoff: Year after for test.
% YearVad: Year after for validation.
% obj_func_str: 1-parameter optimization algorithms
% param_range: the range of the parameter. array
% ... |
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%%%% simMixer.m
%%%% test simulate with quartusII
%%%% spectrum analyse the output file
%%%% ZHAOCHAO
%%%% 2018-03-26
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%... |
function [id,table] = iccp_ccpairs_to_table(ccpairs)
% iccp_ccpairs_to_table Tabulate all paired neuron data parameters
%
% [id,table] = iccp_ccpairs_to_table(ccpairs)
%
% ccpairs : struct array holding paired neuron data. Paired neuron data is
% data for two neurons recorde from the same electrode chann... |
function [dgamma3xds_evaluated,dgamma3yds_evaluated] = dgamma3ds(s,region)
% dgamma3ds computes the derivative of the top boundary
% with respect to s, for the Pataki grid given in [1].
%
%
%
% USAGE
% -----
% [dgamma3xds_evaluated,dgamma3yds_evaluated] = dgamma3ds(s,region)
%
%
% INPUTS
% ------
% ... |
%% Test Script for Boni 3.0
% Script written by:
% Zhuo Li (zhuol7@student.unimelb.edu.au)
% The University of Melbourne
close all
clc
clear
%% Settings
transducer_number = 3;
%change network adapter IP to 192.168.0.XX!
%IP BK2250
IP = '192.168.0.10';
%FG
%Paramerters
f = [100 200 400 800 1000 1... |
% ID_PARAM
%
% Zobrazuje dalsie moznosti identifikacie,
%
% Spusta:
%
% Zadanie parametrov modelu regulovaneho procesu - PARAM_VL2
%
% Podla okolnosti dava na vyber:
%
% POROVNAT - POROVNAT
% IDENTIFIKACIA S NIZSIM RADOM - NIZSIEN
% SPAT - premenna NASPAT
% Copyright is with the following author(s):
%
% ... |
K = 6000;
K_y = 3600;
K_e = 600;
V = 400;
i_y = 1;
i_e = 2;
d_y = 10;
d_e = 3;
p_y = 1; % Supposed to be closer to 1.88
f_y = 0.01;
c_y = .05;
p_e = 0.5;
f_e = 0.1;
c_e = 0.025;
f = figure; hold on;
alpha = 1.0;
T_y = K_y - V*alpha;
T_e = K_e - V*(1-alpha);
s_d = zeros(601,1); % Should be time*compound+1
s_i ... |
function y = translate(x, p)
Mstr1 = p.fixed.str1(2); % Maximum firing rate
Bstr1 = p.fixed.str1(3); % Firing rate in absence of inputs
Mstr2 = p.fixed.str2(2);
Bstr2 = p.fixed.str2(3);
Mstn = p.fixed.stn(2);
Bstn = p.fixed.stn(3);
Mgpe = p.fixed.gpe(2);
Bgpe = p.fixed.gpe(3);... |
function [curve_coor] = io_taper_curve2(origin,phi,dx,max_xx,coef0,coef1)
% This matlab function returns a 2xN array consisting coordinates of
% a curve. (1,n), (2,n) are the x, y coordinates of the curve, respectively.
% The function takes as inputs the parameters of the desired curve. The curve
% is described as y... |
function YDF(block)
setup(block);
function setup(block)
block.NumInputPorts=1;
block.NumOutputPorts=1;
block.SetPreCompInpPortInfoToDynamic;
block.SetPreCompOutPortInfoToDynamic;
block.InputPort(1).DirectFeedthrough=true;
block.SampleTimes=[-1 0];
block.SimStateCompliance='DefaultSimState';
block.SetAccelRunOnTLC(true... |
%%function connected = isConnected(adj)
%Goal: Return 1 if the graph is connected and 0 if the graph is not.
%Inputs: Adjacency graph
function connected = mbiIsConnected(adj)
checkForInfty = 0;
for i = 1:length(adj)
checkForInfty = checkForInfty + isinf(sum( simple_dijkstra(adj,i)));
end
... |
function plotReadLengthVsQualDensityLogData
%% Function written by Eleni Christoforidou in MATLAB R2019b.
%This function creates a density plot of the read length vs the basecall
%quality before filtering out low basecall quality reads. The x-axis scale
%is logarithmic.
%The function requires a TXT file for ... |
% SitzungII.m
clc; clear all; close all;
disp(' VISUALISIERUNG IN 2D');
pause;
disp('>> x = 1:6, y = [76 45 36 20.5 82 44.3] % (x,y)-DATENSAETZE, Z.B. VON DER MESSUNG ');
disp(' (x - ZEIT UND y - GESCHWINDIGKEIT)') ... |
function I2=r_invt(A,B,C,D,tol);
%R_INVT Right Invertibility Structure of Proper Systems
%
% rights = r_invt(A,B,C,D)
%
% returns the right invertibility structure of a multivariable
% system characterized by (A,B,C,D).
%
% rights = I_2 List of Morse Indices
%
% See also INVZ, IN... |
for t=1:length(u)
ts=1:(length(u)-t);
plot(u(1,ts),u(1,ts+t),'.'), title(t)
drawnow
end
|
clear;
clc;
close all;
A = imread('images/binary/binary_text.png');
A_1 = A(:,:,1); %all 3 slices contain the same data
sq = ones(2);
A_2 = imdilate(A_1,sq);
A_3 = imerode(A_1,sq);
figure, subplot(1,3,1), imshow(A_1), title('original');
subplot(1,3,2), imshow(A_2),title('dilated');
subplot(1,3,3), imshow(A_3),title('er... |
function [intervals] = splitIntoIntervals(from, toInc, intervalSize)
numberOfIntervals = ceil((toInc - from + 1) / intervalSize);
intervals = NaN(numberOfIntervals, 2);
for i=1:numberOfIntervals
intervals(i, 1) = from + (i - 1) * intervalSize;
intervals(i, 2) = min(from + i * intervalSize - 1, toInc);
... |
classdef MHyProState < handle
properties (SetAccess = public, GetAccess = public)
ObjectHandle
end
methods (Access = private)
% Destructor
function delete(obj)
MHyPro(13, 1, obj.ObjectHandle);
end
end
methods (Access = public)
% Constructor
... |
function [ flag ] = bootstrap_hypoDD( path,path2,boot_num,verbose,HYPODD)
%% Arguments description:
%INPUT path: where the original hypoDD relocation files are located
% main_path: bootstrap working directory.
% boot_num: the number of
% verbose: 1, run time display on; 0. run time display off.
% ... |
function doy = daynum(dateval)
dateval = datenum(dateval);
prevYear = datenum(year(dateval)-1, 12,31);
doy = dateval-prevYear;
end |
function DataMain = al_ChineseVersion(taskParam, unitTest)
%AL_ARCVERSION
%
% XX
% Also refer to unit and integration tests
% Contributors
% Initialize task
% ----------------
if ~unitTest
clear vars
unitTest = false;
end
trials = taskParam.gParam.trials;
askSubjInfo = taskParam.gParam.askSubjInfo;
randomize... |
classdef LogRegL1FitEng < LogRegFitEng
properties
verbose;
end
methods
function eng = LogRegL1FitEng(varargin)
[eng.verbose,eng.optMethod] = processArgs(varargin,'-verbose',true,'-optMethod','projection');
end
end
meth... |
clc;
close all;
[I, fs]= audioread('AU3.wav'); %To read the Orchestral Music
l= length(I); %length of original audio signal
l2=2.^nextpow2(l); % next two pwer length
fi=fft(I,l2); %fft of audio signal
fi=fi(1:l2/2); %fft normalized to half of length
cut_off1= 200/fs/2; ... |
BGR=1e7;
sigma_rx=0.68e-9:0.1e-9:(1.5/1.5e8);
%Nsigma=2:.1:10;
Nsigma=3;
clear sigma_med sigma_bar
%sigma_rx=0.5/1.5e8
kN=1;
%for kN=1:length(Nsigma)
for k=1:length(sigma_rx)
HW=max(3,2*Nsigma(kN)*sigma_rx(k)*1.5e8);
Nnoise=ceil(HW*BGR/1.5e8*57);
h=[(rand(Nnoise*2, 10240)-0.5)*HW*2; sigma_rx(k)*1.5e8*randn... |
stripes = toy_stripes(100, 50, 25);
%imwrite(stripes, 'ex2_stripes_ground_truth.png');
stripes_noise = add_sp_noise(stripes, 0.1);
%imwrite(stripes_noise,'ex2_stripes_noisy.png');
stripes_filtered = median_filter(stripes_noise, 5);
%imwrite(stripes_filtered,'ex2_stripes_median_filter.png');
stripes_err = calc_psnr(stri... |
function experiment = TivaroVstmParadigmMain
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%%%%%%%%%%%%%%%%%%%%%%%%%%% PARAMETERS %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%usefull for data analysis
experiment.identifi... |
clear all
cd 'C:\Users\rmukhe03\Documents\EMG_Dataanalysis\Good'
m1=matfile('Insect24_Test1good.mat');
m2=matfile('Insect24_Test3good.mat');
m3=matfile('Insect24_Test4good.mat');
m4=matfile('Insect24_Test5good.mat');
m5=matfile('Insect24_Test6good.mat');
m6=matfile('Insect23_Test4good.mat');
m7=matfile('Insect23_Test3g... |
close all; clear all; clc;
distrib = load('mars'); % load input Gaussians
% her bir sinif dagilimlar olarak temsil edilmekte
% her bir gauss dagilimi Cov ve Mean ile temsil ediliyor.
model = ganders(distrib); % solve the GAT
figure; title('Generalized Anderson task');
xlabel('x_1'); ylabel('x_2');
... |
% xGridErrors
% Make some RMSE plots for different qBOLD models, based on Fig. 4 in Griffeth &
% Buxton, 2011.
% MT Cherukara
% 2018-10-01
clear;
setFigureDefaults;
% Where the data is stored
simdir = '../../Data/vesselsim_data/';
vsd_name = 'Sharan'; % Which distribution we want - 'sharan' or 'frechet'
mod_nam... |
clc;
clear;
a=input('enter the value:- ');
x=[1 1];
for i=3:a
x=[x (x(i-2)+x(i-1))];
end
x |
function [ total, rank_order ] = cv_helper(geno, y, covar, top_k, n_folds, seed, ...
rank_order)
if nargin < 7
recompute_rank_order = true;
rank_order = zeros(n_folds, size(geno, 2)); % store for future use
else
recompute_rank_order = false;
end
% Create folds
rng(seed, 'twister');
I_folds = randi(n_f... |
% clear
%% Create Koch snowflake geometry
% I pinched this first little piece of code (generating the vertices) from
% https://people.cs.clemson.edu/~goddard/handouts/math360/notes11.pdf
P = [ 0 0; 1 0; cos(-pi/3), sin(-pi/3); 0 0 ]; % a triangle
for iteration=1:5
newP = zeros( size(P,1)*4+1, 2);
for i=1:s... |
function [M] = gfilt(M,varargin)
%% function [M_f] = gfilt( M, Ni, Nj)
% this function applys a simple moving mean
% Ni time for dimension 1 (1 default)
% Nj time for dimension 2 (1 default)
%
% use for 2D matries M
%
% created by
% Johannes Becherer
% Mon Aug 15 12:53:47 PDT 2016
i... |
function eq_CBF = CBF1()
a=3
beta1=0.1
T1=linspace(30,37)
%----------------White matter---------------------
w0_White=80; %w0=80 ml/min/100gfigure(1);
eq_CBF_White = w0_White*power(a,(beta1*(T1-37)));
figure(1);
subplot(1,2,1)
plot(T1,eq_CBF_White);
title('CBF vs Temperature, White Matter');
xlabel('Tempera... |
function pHandles = plotMMData4x4(Lam,MMdata,varargin)
% inputs [Lam, MMdata, b_eV, pHandles, color]
numvarargs = length(varargin);
if numvarargs > 3
error('plotMMData4x4:TooManyInputs', ...
'requires at most 3 optional inputs');
end
optargs = {0 0 'r'}; % set defaults for optional inputs
optargs(1:numvarar... |
function [LLH] = PS7_YW_llh(params, data, N, T)
p.rho1 = params(1);
p.rho2 = params(2);
p.phi1 = params(3);
p.phi2 = params(4);
p.beta = params(5);
p.sigma = params(6);
p.sigma_A = params(7);
p.sigma_B = params(8);
T = min(T, length(data));
% simulate long-run transition
rng(0);
t=5000;
x=zeros(t+3,1);
epsilon=p.sigm... |
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