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clc,clear
%该函数用于产生网络
N = 40;%节点个数
K = 4;p=0.1;m0=2;m=2;
p2 = 0.05;%第二个网络重新连接的概率
pp = 0.1;%产生ER
%CI 产生两个完全重合的网络---------------------------------------------------
G = WS_generate(N, K, p);
sum(sum(G))/(size(G,1)*size(G,2))
G1 = G;
save(['CI/1_WS_N_',num2str(N),'.mat'],'G');
G2 = G;
save(['CI/2_WS_N_',num2str... |
function [ genORG, allEPOCH, epochList ] = gp_eeglab2gasp( incfg, input_fld_ABS, input_file )
%UNTITLED Summary of this function goes here
% Detailed explanation goes here
if ~isfield(incfg,'outputABS'); incfg.outputABS = []; end
if ~isfield(incfg,'modfields'); incfg.modfields = {}; end %{{'fieldname','valu... |
clear all, close all
rew = @(x) .5*exp(- (x - 2) * 1 * (x -2)) + exp(- x * 4 * x) ;
addpath('../gp')
addpath('..')
addpath('~/svnprojects/ClassSystem/Helpers/')
addpath('../DERIVESTsuite/')
addpath('../teach-grad-hess/')
addpath('../reps_demo/')
xsampled = -6:.1:9;
for i = 1:length(xsampled)
r(i) = rew(xsampled(i... |
function output = rfid_crc5(input)
%% crc5 for GEN2
crc = [1,0,0,1,0];
for i = 1:1:17
temp = [0,0,0,0,0];
temp(5) = crc(4);
if crc(5) == 1
if input(i) == 1
temp(1) = 0;
temp(2) = crc(1);
temp(3) = crc(2);
temp(4) = crc(3);
else
temp... |
%% Profile Estimation Experiments
%% Path Functions
odefn = @fhnfun1p; % Function for ODE solver (perturbed)
odefn = @fhnfun1; % Function for ODE solver (exact)
fn = @fhnfun; % RHS function
fndfdy = @fhndfdy; % Derivative wrt inputs (Jacobian)
fndfdp = @fhndfdp; % Derviative w... |
%% FOLDER & LINKS & FILELIST
<<<<<<< HEAD
D_asthDATA = 'E:\ASTHMA DATA';
D_PHRVText = 'E:\PPG HRV Text';
D_EHRVText = 'E:\ECG HRV Text';
D_HRVData = 'E:\HRV DATA';
addpath(genpath('E:\Google Drive\Documents\Academic\Pre-thesis\MIMIC II DATABASE')); % add code & subfolders
=======
D_PHRVText = 'D:\MIMC II WAVEFORM... |
function index = find_closest_player(pos_arr,ball)
% FIND_CLOSET_PLAYER searches an array of postion vectors for the index that points to the closest position to the ball.
% POS_ARR is an 2*N array registering all testing positions. The format should be
% POS_ARR = [position_1_x position_2_x position_3_x ...;
% ... |
function q = super_fibonacci(n,phi,psi)
% SUPER_FIBONACCI Generate n quaternions according to "Super-Fibonacci
% Spirals: Fast, Low-Discrepancy Sampling of SO(3)" [Alexa 2021]
%
% q = super_fibonacci(n,phi,psi)
%
% Inputs:
% n number of rotations to generate
% phi, psi parameters controling the d... |
%CREATETREFOILKNOT Create a 3D mesh around a trefoild curve
%
% [X, Y, Z] = createTrefoilKnot;
% [X, Y, Z] = createTrefoilKnot(NPTS);
%
% Example
% createTrefoilKnot
%
% See also
%
% ------
% Author: David Legland
% e-mail: david.legland@grignon.inra.fr
% Created: 2015-01-07, using Matlab 8.4.0.150421 (R... |
cicada=imread('cicada.jpg');%read in image
gray_cicada = rgb2gray(cicada); %convert to grayscale image
gray_cicada = double(gray_cicada);% convert image to a type suitable
row = cicada(70,:); %extracts 70th row
ave_filt=ones(1,7)/7; % calculate filter coefficients
filt_row = conv(row,ave_filt); %filter 70th row
... |
% º¯Êý£º´¹Ö±°ÙÒ¶´°
function g=ShuttersVerticalFunc(image)
if isempty(image)
image=selectPicFunc();
end
I=image;
[M,N,R]=size(I);g=zeros(M,N,R);
for t=1:R
for i=1:M
for j=1:N
%
if mod(i,4)==0 || mod(i,4)==1;
g(i,j,t)=I(i,j,t);
else
g(i,j,t)=0;
end
end
... |
function sum = test_connectivity(grid, i)
[x,y] = ind2sub(size(grid),i);
x_i = grid(i);
[nx, ny] = meshgrid(x-1:x+1, y-1:y+1);
n = [nx(:) ny(:)];
clockwise = [n(1:3,:);n(6,:);n(9,:);n(8,:);n(7,:);n(4,:)];
values = zeros(8,1);
temp = clockwise;
values(clockwise(:,1) == 0 | cloc... |
function timeProcessArgs()
% compare running time of processArgs and process_options.
tic
for i=1:5000
testPO('-a',1,'-k',11,'-c',3,'-e',5,'-f',6,'-d',4,'-g',7,'-h',8,'-i',9,'-b',2);
end
t = toc;
fprintf('process_options took %f seconds\n',t);
tic
for i=1:5000
... |
%Name: David George
%Student Number: 251004930
%Excerse a)
disp("Excervise a) Converting 43 degrees");
temp = TempConvert(43);
disp(temp);
%Exercisse b)
disp("Excervise B) ...");
M = [6 1 5 5; 2 7 1 5; 6 3 6 7; 1 2 4 1];
v= [1 1 1 1];
%Product of Mv
disp("The product of Mat... |
%% TD1
% Problem 15
%% Antoine MERLET, Condorcet
clc; % Clear command window.
clear; % Delete all variables.
close all; % Close all figure windows except those created byimtool.
imtool close all; % Close all figure windows created by imtool.
workspace; % Make sure the workspace panel is showing.
%% Proble... |
%============================================================================
% DeerLab Example:
% Multi-Gauss fit of a 4-pulse DEER signal
%============================================================================
% This example showcases how to fit a simple 4-pulse DEER signal with
% background using a mult... |
function [ s,t,w ] = generateGraph( rows, cols )
%UNTITLED2 Summary of this function goes here
% Detailed explanation goes here
nodes_count = rows*cols;
s = [[1:nodes_count] [1:nodes_count] [1:nodes_count]];
t = [[1:nodes_count]+cols-1 [1:nodes_count]+cols [1:nodes_count]+cols+1];
w = [sqrt(2)*ones(1,nodes_count) o... |
function fig_prop(width,height)
figure('units','normalized','outerposition',[0 0 1 1]);
fig = gcf;
set(fig, 'Units', 'inches')
fig.PaperUnits = 'inches';
set(fig,'PaperPositionMode','manual');
fig.PaperPosition = [0 0 width height];
fig.PaperSize = [width height];
set(gcf,'renderer','painters');
end |
classdef Geometry
%UNTITLED4 Summary of this class goes here
% Detailed explanation goes here
properties
cartDeriv
area
ndime
nnode % preguntar
ngaus % preguntar
end
methods
function obj = Geometry(mesh)
triangleLinear = Triangl... |
function [alpha_data]=a_ralpha(alpha_file)
%
global APATH CONST VERBOSE
% see if alpha file is in current working directory
[Fid,message]=fopen(alpha_file,'rt');
if Fid < 0
alfpath=fullfile(APATH,'BIN','ALPHA');
[Fid,message]=fopen(fullfile(alfpath,alpha_file),'rt');
if Fid < 0
error('a_ralpha.m: %... |
function [ M ] = mistakeMatrix( dds,dte,pages )
%MISTAKEMATRIX Summary of this function goes here
% Detailed explanation goes here
dmax = max(dte);
M = zeros(dmax,dmax,pages);
for i = 1:pages
mistakes = zeros(dmax,dmax);
for j = 1:length(dte)
mistakes(dds(j,i),dte(j)) = mistakes(dds(j,i),dte(j))... |
% How long does it take to remove a paddle?
% How long to change the bias?
% Do I need to change the bias ahead of the sequencer doing it???
% Same with InjFieldGroupDelay???
%Prefix = getfamilydata('BPM','BaseName');
% lcaNewMonitorValue(pvs)
% lcaNewMonitorWait(pvs)
% lcaSetMonitor(pvs, nmax, type)
% lcaCl... |
% % 19 September 2021
% here is for euclidean distance calculation
% euclidean = shortest distance between two vectors
% % 20 September 2021
% AHA just need to send data
% from framespectra.m to here
% AND COMPARE THEM FOR THE training.m
% TO CALCULATE OH MY GOWAEUHNLFJHA
% a = known speaker
% b = unknown speaker of... |
L=10;
a=1;
D=0.1;
dt=0.1;
N=5;
m=1;
X =rand(1,N)*L;
Y=rand(1,N)*L;
Vx=rand(1,N);
Vy=rand(1,N);
%% тело
figure
for st =1:1000%step po timu
for i=1:N
for j=1:N
if(i~=j)
rx=X(j)-X(i);
ry=Y(j)-Y(i);
r=sqrt(rx.^2+ry.^2);
... |
%% MAIN SETUP: SETS CONFIGURATIONS FOR BOTH PSO AND FT EXPERIMENTS
%% CLEAR: all workspace and global variables, and close all figues
clearvars -global; clearvars; close all; clc;
%% ADD CODES
addpath('timing');
%% SETUP
% COMMON SETUP: SETTINGS USED IN BOTH PSO AND FT FRAMEWORKS
controller_experiment = 1;... |
clc; fclose('all'); clearvars;
close all hidden;
addpath(genpath('INPUT/')) % Add INPUT folder and subfolders to path
addpath(genpath('OUTPUT/')) % Add OUTPUT folder and subfolders to path
%% =====DESCRIPTION=====
% Vessel channel background intensity characterization.
% Calculates mean and spread, creates mask of... |
classdef PositionTrajectoryAlignerBase
%POSITIONTRAJECTORYALIGNER Summary of this class goes here
% Detailed explanation goes here
properties
end
methods
% Constructor
function obj = PositionTrajectoryAlignerBase()
end
end
... |
function out = vars2struct(vars)
%This function is designed to store copies of variables as fields of a
%structure. The idea behind this is that it enables you to quickly put
%a bunch of variables in the workspace belonging to one analysis under
%one 'heading' so they aren't overwritten. 'vars' shou... |
function [ fundamental_matrix_RANSAC, inliers_RANSAC, inliers_idx_RANSAC ] = RANSAC( all_matches_image1, all_matches_image2, n_iterations, epsilon )
% apply RANSAC to the normalized 8-point algorithm
n_random_samples = 8;
%% Ensure shape 3xN
if size(all_matches_image1,2) == 2
all_matches_image1 = transpose(all_mat... |
function[kArray]=makekspace(gridDimensionVector, Options)
%MAKEKSPACE produces 3D array of k-space coordinates
%
% MAKEKSPACE returns K(kx,ky,kz)
%
% Syntax
%
% MAKEKSPACE(gridDimensionVector)
% MAKEKSPACE(gridDimensionVector,Options)
%
% Description
%
% K = MAKEKSPACE(gridDimensionVector,Options) return... |
%if OCTAVE is used
%pkg load statistics
x = [1 2 3 4 5];
y = [1 3 3 3 5];
xx=[ones(5,1) x'];
b = regress(y', xx)
|
% params = GetParams(myobj, 'PluginName')
%
% Retrieve the configuration parameters (if any) for a
% particular plugin. Configuration parameters are a struct
% of name/value pairs that plugins use to affect their
% runtime operation. The returned structure... |
movnm = '30pow_002_crop.tif';
outname = '30pow_002_crop_eucl.tif';
if exist(['.' filesep outname],'file'), delete(outname); end
ml = length(imfinfo(movnm));
ss = size(imread(movnm));
join = 3;
skip = 97;
fr = 1; k = 1;
while fr <=ml;
img = zeros(ss);
for i = 1:join
img = img + double(imread(movn... |
bootstrap_experiment
consolidate_results
best_parameter_combinations
datasetsFilename = fullfile(echolex_data, 'public_datasets_training_val_test.mat');
load(datasetsFilename);
l
datasetNames = cellfun(@(x) x.DatasetName, public_datasets_training_validation, 'UniformOutput', false);
u = unique(best_results.DatasetNam... |
function [ ] = saveToFile(filename,data, message )
%saveToFile Sauve les données data dans le fichier filename, sous forme de
%text.
% message : message à affiché à la fin
save(filename, 'data', '-ascii');
display(message);
end
|
% read and show maps
cd maps;
% Flow:
load('Flow_sSVD.mat');
F_sSVD=F;
N_slices=size(F_sSVD,3);
figure;
n_sp_rows=floor(sqrt(N_slices));
n_sp_cols=ceil(N_slices/n_sp_rows);
for slice=1:N_slices
subplot(n_sp_rows,n_sp_cols,slice);
imshow(mat2gray(F_sSVD(:,:,slice)));
end |
classdef (Sealed) UTestBatchReader < graph.GraphFixture
%UTestBatchReader A unit test of class BatchReader.
% This class includes unit tests of Class BatchReader's batch build and
% read operations.
%=========================== PROPERTIES ==============================
properties (Constant,... |
function [zero_lengths ref]=PreProcess_ZeroValues(voxels_data_4D,Filter_data,Mask_prev)
% We don't want voxels whose intensity curves contain a few
% consecutive zeros:
voxels_data_4D_permute=permute(voxels_data_4D,[4,3,2,1]);
[row_data col_data slice_data time_data]=ind2sub(size(voxels_data_4D_permute),find(voxels_da... |
function h = plot_waterphase_all(var,parm)
% plot basinwise spatially averaged organized cloud water over lead time
% plot TS,LFLX in rh0 to show that the difference of strength is due
% to SST
% plot EOF1 vert profile for each basin at the side
%
% parm.lagind*30min
%
%load fname
%
run ~/scripts/matlab/startup
%
qthr... |
function Chebfun_analysis(qh0,qk0,e0,id)
jn=@(N)(1:N);
Xn =@(N)(0.5-0.5*cos((jn(N)-0.5)*pi/N));
dp = fileparts(which('disp_dft_parameterized.m'));
persistent in_dat
if nargin > 3
in_dat = id;
end
e_max = 680;
q0 = 1;
qi = (0:q0/100:q0)';
ei = (0:e_max/500:e_max)';
if isempty(in_dat)
disp('***** loading refe... |
function [val] = wavefront_initialize(xx,yy,xGoal,world)
%Initializes the workspace val. The value of each cell is set to:
% inf if the midpoint of that cell is within an obstacle
% 0 if it contains the goal location
% NaN for all other values
%
% xx,yy are vectors of size NGrid+1, where val will be of size
% ... |
function outputPara= New_sar_TRTVp(inputPara)
p=inputPara.p; % p value
lamda=inputPara.lamda; %parameter that balances likelihood and prior term weighting
f=inputPara.destroyedimage; % noisy input grayscale image
MAXITR = inputPara.MAXITR; %max dca number
tol_out= inputPara.tol_out; % outer tollerence
TR_value= i... |
%@(#) randvec.m 1.2 94/08/12 12:10:46
%
%function vec=randvec(mminj)
%vec(x)=1 randpos, vec(x)=2 semirandpos
function vec=crrandvec(mminj)
lm=length(mminj);
mat=zeros(lm);
for a=1:lm
mat(a,mminj(a))=1;
mat(a,lm+1-mminj(a))=1;
mat(mminj(a),a)=1;
mat(lm+1-mminj(a),a)=1;
end
for i=2:round(lm/2)
for j=2:ro... |
%% movie example
% This example calls "AD_MED64_LFP_movie_Miranda.m",
% ...which then calls "sweep2movie_LFPInterp3D.m" internally
data.raw(:,51,:)=0; % this hides the stim channel when it is = Ch 51
AD_MED64_LFP_movie_Miranda(data) |
function AI_agent = determine_AI_agent(win_matrix, round_counter, focus_length)
sum_of_wins = zeros(28,1);
win_percent = zeros(28,1);
size_win_mat = size(win_matrix);
length_win_mat = size_win_mat(2);
if length_win_mat - focus_length <= 0
for row = 1:28
sum_of_wins(row,1) = sum(win_matrix(row,:... |
eyePos = XY_fixMid;
screenDist = 36;
pixPerCm = 27.03;
eyePosPix = tools.deg2pix(eyePos, screenDist, pixPerCm);
% eyePosPix = eyePos;
figure; colormap gray;
for ii = 1:size(eyePosPix,1)
img = ica.loadImage(datadir, imNames{ii});
clf;
hold on;
iml = size(img);
imagesc(img');
set(gca, 'YDir... |
clear all
clc
%% outline
% use the MD 320-2160 trained Ann to predict the MD protein ser.
% ch
%% main
% load MD data
load Mat_MD_dis_input_output.mat
% load the ch trained net
% path parameters %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
path_ch_loop_save='../res_data/ch/ch_atom_dis_cluster_... |
function [solution,error] = Poisson_solver_1D(left,right,h,basis_type_trial,basis_type_test,der_trial,der_test,Gauss_type)
% 一维possion方程求解器
% 主要来求解如下形式的方程
% $-\nabla \cdot c(x) \nabla u(x) = f(x),a\le x\le b$
%$u(a)=g_a$,
%$u'(b)+q_bu(b)=p_b$
% left = 0; %区间左端点
% right = 1; ... |
%% Parameters
Jm = 0.0000542; %Rotor Inertia (J) kg.m^2 Motor
Jg = 0.0000542; %Rotor Inertia (J) kg.m^2 Gears
Kt = 93.4e-3; %Torque Constant (Kt) N.m/A
Ke = (1/102)*(60/(2*pi)); %Back EMF Constant (Ke) V/rad/s (1/(102) V/rpm)
La = 0.423e-3; %Motor Inductance (La) H
Ra = 0.608; %Motor Resistance (Ra) ohms
bm... |
clear all
threshold = 0.5;
clear rpfiles R
cwd = '/data/local_share/huiai/Documents/NESDA/L1_scan/';
rpfiles = spm_select('FPListRec',pwd, '^rp_.*.txt')
for r = 1:length(rpfiles)
h = figure;
clear R
R = load(rpfiles{r}); %rpfiles = spm_select('FPListRec',pwd, '^rp_.*.txt')
translation = R(:... |
function value = estimator_K(probes)
size = length(probes);
N=size;
p = floor(sqrt(N));
minimum = min(probes);
maximum = max(probes);
x = linspace(minimum,maximum,p);
value = zeros(1,p);
alpha = 0.1;
h=N.^(-alpha);
for m=1:p
tmp_value = 0;
for k=1:size
tmp_value = tmp_value + core_rectangle((-x(m)+probes(... |
function [ppl_1,x_1,y_1]=g_aMain1(index,n,p_c,p_m,num_var,num_dgt,x_lo,m,precision,f,ppl,count_max)
%===============Initial Population============================
x=bn2de(ppl,x_lo,precision,m,num_var);
y=f(x);
[f_min, ind1]=min(y);
[f_max,ind2]=max(y);
x_min=x(ind1,:);
x... |
fopen ('housing.data', 'rt');
housing_data = importdata('housing.data');
[N, p1] = size(housing_data);
[Y,w,y] = lab5fstd(N,p1,housing_data);
yh = Y*w;
El = ((norm(Y*w-y))^2)/N;
[yhl,Enl] = lab5fnl(N,Y,y,50);
disp([ ' El',' Enl']);
disp([El Enl]);
uu = -3:0.1:3;
jj = -3:0.1:3;
figure(1),clf,
... |
function output = residualImage(corruptedData, biasRemoved, biasField)
output = corruptedData - (biasRemoved .* biasField); |
function obj = SignalObject__subraction(a,b)
if ~isa(b,'SignalObject')
error('The subtractor must be a signal object.');
end
if count(a,1) ~= count(b,1)
error('Dimensions don''t match between signal objects');
end
if ~strcmp(a.dtype,b.dtype)
error('Cannot mix and match windowed and non-windowed signals')... |
dark_ratio = 1;
synth_img = create_synth_dataset();
synth_img = synth_img(1:4:end,1:4:end,:);%imresize(synth_img,1/4);
synth_img = synth_img/dark_ratio;
data_dir = 'datasets/dataset_cannon/synth_bg_sub/img%d.png';
a = 255/dark_ratio;
scale = 1/50;
width = 10;
height = 20;
[M,N,C] = size(synth_img);
frame_count = 20... |
function r=getTRANS(chainlist)
r = zeros(11*13,11*13);
total = zeros(1,11*13);
num_of_list = size(chainlist,2);
for i = 1 : num_of_list
chain = chainlist{i};
num_of_state = size(chain,2);
%disp(num_of_state);
for j = 1: num_of_state-1
s = chain(j);
%disp(s)
e = chain(j+1)... |
function out = model
%
% fluid_optimized.m
%
% Model exported on Jan 5 2021, 14:27 by COMSOL 5.4.0.225.
import com.comsol.model.*
import com.comsol.model.util.*
model = ModelUtil.create('Model');
model.modelPath('C:\Users\dcy60\Google Drive\Research\MLOPT\code_data\fluid_coarse');
model.label('pressure.mph');
mode... |
% This function produces a vector of jittered ISIs distributed according to
% the exponential function (a la Wager & Nichols).
%
% Input: mean jitter time (in s), length of output (i.e. number of
% ISIs needed), and whether to sample from a gamma distribution with a long
% tail (0 if not [default], 1 if so)
%
% ... |
function results = similarity_experiment(dataset_params_str, method_params_str, kfolds, hyper_params_sweep, experiment_stage, max_parallel_workers)
% function results = similarity_experiment(dataset_params_str, method_params_str, kfolds, hyper_params_sweep)
% run a 2 layer, k folds (5 folds by default) experiment
% inp... |
function rate = errorRate(X,y,W)
[row,~] = size(X);
result = sign(X * W) ;
result(result==0) = -1;%take sign(0) as -1
index = find(result ~= y);
rate = length(index)/row;
end |
function y = third(f, h)
n = length(f);
y = zeros(1, n);
for k = 1 : n-2
y(k) = (4*f(k+1) - 3*f(k) - f(k+2))/ (2 * h);
end |
% Calculates Tissue Partition Coefficients for acidic, basic, neutral and
% zwitterion Drugs. Equations taken from:
% Rodgers, T., Leahy, D., & Rowland, M. (2005).
% Physiologically based pharmacokinetic modeling 1: predicting the tissue distribution of moderate-to-strong bases.
% Journal of pharmaceutical ... |
function lines = Emergence_PlotGridOnTri( nGrid, dims, col, tricc )
% EMERGENCE_PLOTGRIDONTRI displays a grid on the triangle.
% - "nGrid": a scalar number specifying the number of grid lines to
% display.
% - "dims": a scalar or array specifying along which of the 3 dimensions
% to plot the grid lines.... |
function y = rhsODE(t,y)
% y = rhs=DE(t,y)
% Calculate the function f(t,y) = y-0.5e^(t/2)*sin(5t) + 5e^(t/2)*cos(5t)
y = y - 0.5*exp(t/2)*sin(5*t) + 5*exp(t/2)*cos(5*t);
end |
function sig_hat_kk = KN_noiseEst(ell,n,kk)
% function sig_hat_kk = KN_noiseEst(ell,n,kk)
%
% Code by Shira Kritchman and Boaz Nadler
% 2008, Weizmann Institute of Science
% --------------------------------------------
% DESCRIPTION:
% This function gets as input the eigenvalues of an SCM
% (sample covariance matri... |
% this program is designed for optimal substation placement
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
function SP_main()
clear;clc;
pack;
tic;
display('______________________________________ RESULTS STARTED ____________________________________... |
function [model,pred_y,rmse] = random_forest_regression(nTree,train_X,train_Y,test_X,test_Y)
model=TreeBagger(nTree,train_X,train_Y,'Method','regression');
pred_y=predict(model,test_X);
rmse=sqrt(mean((pred_y-test_Y).^2));
end
|
function [composite] = stitchImages(im1, im2, H)
[h1, w1, numChannels1] = size(im1);
[h2, w2, ~] = size(im2);
corners = [ 1 1 1;
w1 1 1;
w1 h1 1;
1 h1 1];
warpCorners = homo_2_cart( corners * H );
minX = min( min(warpCorners(:,1)), 1);
... |
% Chapter 9 - Interacting Species.
% Program_9b - The Holling-Tanner Model (Time Series).
% Copyright Birkhauser 2011. Stephen Lynch.
% Time series of a predator/prey model.
clear
hold on
% sys=inline('[x(1)*(1-x(1)/7)-6*x(1)*x(2)/(7+7*x(1));0.2*x(2)*(1-.5*x(2)/x(1))]','t','x');
sys = @(t,x) [x(1)*(1-x(1)/7)-6... |
function q = MergeQuests(varargin)
% Merge the different trials and recompute the psychometric funciton by
% calling QuestRecompute
inputN = length(varargin);
questN = size(varargin{1}, 2);
q = varargin{1};
for i=2:inputN
length1 = length(q(1).intensity);
length2 = length(vararg... |
function x=beeps(ary,sc,sd)
sc = 1 - sc;
c = -0.5 / (sd * sd);
rho = 1.0 + sc;
height, width = size(ary)
# BEEPSHorizontalVertical
Ihp = ary
Ihr = ary
Ihp(:, 1) = Ihp(:, 1) / rho;
for k =2:width:
mu = Ihp(:, k) - rho * Ihp(:, k - 1);
mu = sc * np.exp(c * mu * mu);
... |
Fs=44100; % sampling frequency
dt=1/Fs;
T0=2; % period, sec
close all;
r = audiorecorder(Fs, 16, 1);
clc;disp('recording started...');
recordblocking(r,T0); % record next data
disp('recorded');
s00 = getaudiodata(r); % get data
L0=length(s00);
s=s00-mean(s00);
%load('bp.mat'); % bandpass 50-4000... |
function disSimilarity = stringcompare(string1, string2)
%voldif
% this function takes as input two strings and returns
% their dis-similarity.
%
% USAGE:
% disSimilarity = stringcompare(string1, string2)
%
% INPUT
% - string1: Strings to be compared (string)
% - string2: Strings to b... |
function display_bbox_detections( img, bbox_detections, score_thresh, category_names )
all_dets = [];
num_categories = length(bbox_detections);
for i = 1:num_categories
bbox_detections_this_category = bbox_detections{i};
detection_scores_this_category = bbox_detections_this_category(:,5);
is_above_the_thr... |
% Nishimura, Shotaro, and Mvuma Aloys.
% "Rejection of narrow-band interference in BPSK
% demodulation using adaptive IIR notch filter."
s = tf('s');
alpha = 0.5;
beta = 0.5;
numStep = 100;
W1 = tf([0 -1 0 1]...
,[-2*alpha*beta alpha -alpha*beta+beta 1] );
W2 = tf([-1, 1], [... |
function result = get_lyapunov_exponent(u)
EPS = 1e-9;
f = @(u) u.*exp(0.081 ./ u - 0.001 ./ (u.^2) - 0.305);
fs = @(u) exp(0.081 ./ u - 0.001 ./ (u.^2) - 0.305) .* (1 + 0.002 ./ (u.^2) - 0.081 ./ u);
sum = log(abs(fs(u)));
res = sum;
cur = u;
n = 1;
while abs(res - (sum + log(abs(fs(f(cur)))))/(n + 1)) > EPS
... |
classdef Regular2Grid < handle
% RegularGrid describes an evenly-spaced, 2-dim. Grid
% All Coordinates are centered in grid boxes!
properties (SetAccess = immutable)
ex, ey % x and y distance
Nx, Ny % number of grid boxes [aka pixels] for each direction
xcMin, ycMin % start coordinates (lower le... |
function net = trainSoftmaxLayer(X, T, varargin)
% trainSoftmaxLayer Train a softmax layer for classification
% net = trainSoftmaxLayer(x, t) trains and returns a softmax layer on the
% input data x and the targets given by t. The user does not supply a
% size for the softmax layer, as it will have the same siz... |
function [CenterOfMass] = y_CenterOfMass_Surf(AtlasFile, SurfFile)
% function [CenterOfMass] = y_CenterOfMass_Surf(AtlasFile, SurfFile)
% Extract Eccentric Center of mass on surface
% Input:
% AtlasFile - the Atlas File
% SurfFile - the Surface File
% Output:
% CenterOfMass - the Altals region table
%____________... |
function [ARRAY] = singleEmbeddedCode_(filename)
count=0;
[QRMTX,IdxVec,QSdim] = IdxSpacer_(filename);
[m,~] = size(QRMTX);
ARRAY = zeros(m,m,m); % ARRAY's size is based on the pixel dimension of the qr image
numberofcols = length(IdxVec) % refeeres to the number of columns and rows in qr code
cellsize = IdxVec(1);
Z... |
function [rakes, results, anglesbetween, misfit] = runComparison(faults, faultsHotspot, hotspotContribution, azimuth, faultOpening, comparison, slipData, stressData, eqData, eqDataStress, GPSData)
%prepare inputs for tribemx
d=zeros(sum(faultsHotspot.nEl), 3);
d(sum(faults.nEl)+1:end, 3)=hotspotContribution;
bc=one... |
function enjambre = enjambreOptimizado(enjambre, trafico, configuraciones)
printf('\n\nOptimizando pesos (PSO)...');
enjambre.w_min = str2num(configuraciones.pso_w_min);
enjambre.w_max = str2num(configuraciones.pso_w_max);
tamanoP = str2num(configuraciones.tamano_enjambre);
enjambre.tamano... |
function [ output_image ] = back_sub(background, foreground, threshold)
%BACK_SUB Summary of this function goes here
% Detailed explanation goes here
output_image = (abs(background(:,:,1) - foreground(:,:,1)) > threshold) | ...
(abs(background(:,:,2) - foreground(:,:,2)) > threshold) | ...
(abs(background(:,:,3) - f... |
%% Train an HMM on the word "four" and then find the Viterbi parse of a test signal into phones
%#broken
function wordSegmentation()
setSeed(0);
if(~exist('data45.mat','file'))
error('Please download data45.mat from www.cs.ubc.ca/~murphyk/pmtk and save it in the data directory');
end
helper(false);
helper(t... |
function [ corloc ] = eval_discovery
addpath([cd '/VOCcode']);
% initialize VOC options
VOCinit;
corloc = zeros(1, VOCopts.nclasses);
for i = 1:VOCopts.nclasses
cls = VOCopts.classes{i};
corloc(i) = VOCevaldis(VOCopts, 'comp4', cls, 'trainval'); % compute and display PR
end
end
... |
% Basic implementation of the Kohonen Map
%
% Source:
% T. Kohonen (1997). Self-Organizing Maps, 2nd. Edition,
% Springer-Verlag.
%
% NOTE: This implementation aims to be simple and direct. More powerful
% implementations of the SOM can be found in the SOMtoolbox demos.
%
% Authors: Guilherme ... |
function A = divvy(A,k)
A((mod(A,k))>0) = A((mod(A,k))>0)*k;
end |
function lambda = detecta_tecla(sinal, fs, sensibilidade)
fh = [
1209
1336
1477
1633
];
fl = [
697
770
852
941
];
tecla1 = [
'10001000'
'01001000'
'00101000'
'10000100'
'01000100'
'00100100'
'10000010'
'01000010'
'00100010'
'01000001'
... |
function [ g ] = calc_g( Hz )
%% Calculates the magnetization from the magnetic field up to a constant value
[kx, ky, k] = make_k(size(Hz,2), size(Hz,1));
Hz_fft = fft2(Hz);
g_fft = Hz_fft .* (2 ./ k);
g = ifft2(g_fft);
end
|
function [f,d] = getImageSift(im, k)
grayim = single(rgb2gray(im));
[fi,di] = vl_sift(grayim);
[v,i] = sort(fi(5,:),'descend');
topk = i(1:k);
f = fi(:,topk)';
d = di(:,topk)';
end |
function [out]=Celastic(E,nu)
% del = eye(3,3);
% E = 1000; nu = 0.3;
lamda = (nu*E)/((1+nu)*(1-2*nu));
mu = E/(2*(1+nu));
% for i = 1:3
% for j = 1:3
% for k = 1:3
% for l = 1:3
% out(i,j,k,l) = lamda*del(i,j)*del(k,l) + mu*(del(i,k)*del(j,l)...
% + del(i,l)... |
% Function that plots QB data and includes the experimental data for
% comparison - takes some code from gui_averageQBall
function plotQBs(t, Iset1, T, TT, QQ, Is, result, latencies, neff)
% Plot shifted, averaged QB against experimental data
figure;
hold on
plot(TT,QQ,'or',T,Is,'k',TT,result,'x');
title(['Ave... |
function [ ] = FullIRLS( fn1, fn2, lowW ) %0.1
% close all;
% run('D:\vlfeat-0.9.16\toolbox\vl_setup.m');
clf;
[XSIFT, YSIFT, X_SIFT, Y_SIFT] = SIFT(fn1, fn2);
figure(1);
DRAW(fn1, fn2, XSIFT, YSIFT, X_SIFT, Y_SIFT, [], []);
IRLS(fn1, fn2, XSIFT, YSIFT, X_SIFT, Y_SIFT, lowW);
end
|
function [wpos, indpos] = compositivas(w)
wp = [];
ind= [];
for i=1:length(w)
if w(i) > 0
wp = [wp, w(i)]; % valor positivo del vector w
ind = [ind, i]; % indice del valor positivo del valor w
end
end
wpos = wp';
indpos = ind';
end |
function [T,I,Y]=naivePerfusionResponseIVP2X4stacksub(ton,toff,Ttot)
ode=modelODEP2X4stacksub(ton,toff);
naive=zeros(7,1);
naive(1)=1;
setAuxiliaryP2X4stacksub(naive);
[T,Y]=ode15s(ode,[0 Ttot],naive,odeset('NonNegative',1:7,'MaxStep',0.01));
I=getTotalCurrentP2X4stacksub(Y);
end |
function setDefaultParams(obj)
% SETDEFAULTPARAMS Use SIFT default parameters
%
% Other m-files required: Matcha.m
% Subfunctions: none
% MAT-files required: none
%
% Author: Gabriel Moreira
% email: gmoreira @ isr.tecnico.ulisboa.pt
% Website: https://www.github.com/gabmoreira/maks
% Last revision... |
% Solving the linear and nonlinear inverted pendulum models with feedback
% control from the LQR approach
close all
% File declaring the values of the various parameters to be used
parameters;
% Evaluating the various matrices for the linearized system
[A,B] = get_system_matrices();
% Initial condition
x0 = [0; 0; ... |
clear all ; close all ;
cd('C:\shared\mkt') ;
fid = fopen('ES.txt') ;
data = textscan(fid,'%s %s %f %f %f %f %f','delimiter',',','Headerlines',1) ;
fclose(fid) ; offsetcount = 1 ;
for offset=1:5 ;
d5 = data{6} ; d5 = d5(offset:10:end) ; d5 = d5(250000:end) ;
%d5 = d5(end-50000:end) ;
% make a moving a... |
classdef Genome < handle
%GENOME, this class contains the entire gene pool for the neural net
% AI that controls the computer mallet, genome can be shared across
% various, simultaneous simulations of mallet
properties (SetAccess = private)
% NETWORK PROPERTIES
height; % height of ... |
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