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function [match] = lbpmatch(I1,I2) % LBP Calculation % % Input: % - I1,I2: Binary image % % Output: % - match: Binary value, 1 if 2 image matches 0 otherwise % % Author: % - Alessandro Fornasier (alessandrofo@edu.aau.at) if size(I1) == size(I2) [r,c] = size(I1); match ...
function in_ms = index2ms(in_index,samplingrate) in_ms = in_index/(samplingrate/1000); end
%A基本关联矩阵 D为管段长度 Re雷诺数 u粘合数 p密度 S阻力系数 e精度 function [G_New,P] = hydraulicCalculation(A,D,Re,u,p,S,e) %A的行数为管段数 列数为节点数 [m,n]=size(A); %拟定初始管段流量G G=Re*(u*pi*D)/(4*p); k=0; while(1) k=k+1; %计算Q节点流量 Q=A*G; %计算P节点压力 和管段流量绝对值对角矩阵 G_Abs=diag(abs(G)); r=S*G_Abs; P=inv(A*(inv(r))*(A'))*Q; %计算管段压降P_Drop P_Drop=(A')*P; %计算新流量G ...
function [EVs, EC] = EvalObjGA( D,S,S_,Px,Pm,Pl,Cd ) %{ Evaluate solutions INPUT: D: decision rules to be evaluated - Nsol x Nx matrix S: survival nodes identified by RDA = Ncut x 1 cell S_: failed nodes identified by RDA - Ncut x 1 cell Px: probability matrix for comp's (failure only) Pm: probabili...
classdef MDL_obj % LINE_OBJ_SEFF defines the LINE object that processes the models, calling % the necessary scripts to parse the XML description, solve the performance % model, and export the resuls to an XML file % % Properties: % myCluster: cluster to solve models in parallel % myJobs: list of jobs submitte...
clear;close all;clc; img = imread('Project4_Defect.jpg'); imc = imcrop (img,[16,18,size(img,2)-35,size(img,1)-35]); gray = rgb2gray(imc); thresh = mean(img(:)); thresh_img = (gray>thresh); filter1= fspecial('average',10); filtered = imfilter(thresh_img,filter1); sobeled = edge(filtered,'sobel'); se...
% plot dataset size vs humanbehavioral grades % for generated images %% parameters: n_case = 8; % num of GAN curves %% (1) biggan FLOWER: x1 = [1000, 2000, 4000, 6000, 8189]; % dataset size xtick1 = 1000:1000:9000; y1 = [3.44778, 2.35556, 2.44778, 2.27264, 2.58111]; % average rating yconf1 = [3.58004,2.45782,2.5374...
function plotseries(X, segments, colour, missing) if (~exist('missing', 'var')) missing = []; end nmissing = setdiff(1:size(X,1), missing); hold on; q = size(X,2); mask = segments-1; mask(find(mask == 0)) = []; if (q == 2) dX = X(2:end,:) - X(1:end-1,:); dX(mask,:) = zeros(length(mask),q); dX = [dX; [...
clear clc n = 100; A = rand(n) + n*eye(n); b = ones(n,1); b = b/norm(b); m = 20; V = zeros(n,m+1); V(:,1) = b; H = zeros(m+1,m); for j = 1:m % Pick a vector from V vj = V(:,j); % Apply A u = A*vj; % Gram-Schmidt => Make sure every previous vector is orthogonal with % the current vector ...
function h = filled_ellipse(ra,rb,varargin) % wrapper for ELLIPSE.M, written by KJ Schlesinger, June 2017 patchColor = varargAssign('ellipseColor',[1 1 1],varargin{:}); patchAlpha = varargAssign('ellipseAlpha',1,varargin{:}); h = ellipse(ra,rb,varargin{:}); x = get(h,'Xdata'); y = get(h,'Ydata'); hold on; patch(x,y,p...
clear all; % close all; warning('off','MATLAB:scatteredInterpolant:DupPtsAvValuesWarnId'); addpath('kml_lib'); addpath('emag_lib'); addpath('plotGen'); dtime=datetime(2013,11,23,0,0,0,'TimeZone','UTC'); etnaSetupAll; %Initialize sim, vents and DEM %Plume % Based on plumeLoc = copy(sec); ...
% function that takes a translation vector from frame A to B and gives back a % spatial vector transformation from the corresponding 6-D space A to B % that is a direct result of the translation represented by r % this is for force type vector's transformation function res = xltFMat(r) res = [ eye(3) -vecX3D(r...
function [result] = resolve_multiple_param_string(values) if ischar(values) values = strsplit(values,' '); end if (ischar(values) || isnumeric(values)) && length(values) == 1 result = num2str(values); elseif iscell(values) && length(values) == 1 result = num2str(values{1}); elseif ~iscell(values) && length...
function [W, H, cost] = nmf(V, num_basis_elems, config) % nmf Decompose a non-negative matrix V into WH using NMF [1] by minimizing % a chosen divergence. W is a basis matrix and H is the encoding matrix that % encodes the input V in terms of the basis W. This function can output % multiple basis/encoding matrices for ...
load('/home/beviszhang/Documents/WorkSpace/IEEE/competition_data/DATA_10_TYPE02.mat'); load('/home/beviszhang/Documents/WorkSpace/IEEE/competition_data/DATA_10_TYPE02_BPMtrace.mat'); num = 1; frame = getFrame(sig,num); ppg1 = frame(3,:); %%%%%%%%%%%%%%%%%%%%%% level = 7; method = 'db1'; %%%%%%%%%%%%%%%%%%%%%% fsuspect...
% Purpose of this function is to organaze data about net. % Main assumption - there is only one arc between any two nodes. % Input: % G_matrix: matrix of connectivity % Output: number of each arc in the shortest path in right order, time sum function [net_full_information] = net_data_input(G_matrix) [mas...
function [Flag] = Get_Velocity(Orientation,Out_File_Name,Out_Put) [Num,a] = size(Orientation); Orientation_Velocity = zeros(Num,3); f=fullfile(Out_Put,Out_File_Name); fid_Velocity = fopen(f,'wt'); for i = 2:1:Num Orientation_Velocity(i,:) = Orientation(i,:)-Orientation((i-1),:); fprintf(fid_Vel...
% plot results of calculations from crustalfluidmodel.R strsplit = @(str,delim) regexp(str,regexptranslate('escape',delim),'split') % one-line replacement function for strsplit: https://stackoverflow.com/a/35325913 %% Load Model OUtput fid = fopen('logaeq2e.csv'); % even numbered hdr = textscan(fid,'%...
function Save(obj) % % Copyright 2015 Yulin Wu, Institute of Physics, Chinese Academy of Sciences % mail4ywu@gmail.com/mail4ywu@icloud.com if obj.readonly errordlg(['DataViewer running on read only mode.'],'Error!','modal'); return; end handles = obj.uihandles; if isempty(handles) ...
function [Tn,Wn] = mTrapecio(f,y0,I,h) %mTrapecio Método de Trapecio explícito % resuelve el PVI y'=f(t,y), y(t0)=y0 % donde el vector I=[t0,t0+T] y h es el tamaño del paso Tn=I(1):h:I(2); %la malla del tiempo Wn=zeros(1,size(Tn,2)); %preset Wn Wn(1)=y0; %Condicion inicial for i=1:size(Tn,2)-1 Wn(i+1)=paso_Trape...
function Validation_level( obj, id1, id2 ) MeasureLevel =[ fileparts( mfilename('fullpath') ), '/tide/MeasureLevel.txt']; % MeasureLevel ='I:\MeasureLevel.txt'; Mlevel = load(MeasureLevel); time = ncread('Sanya2k_0613.1-1.nc', 'time'); Clevel = obj.PostProcess_level; x1 = Mlevel(:,1); y1 = Mlevel(:,id1+1); x2 = time(...
function [result, computationCost] = ifft(signal) [result, computationCost] = common.fftInner(signal, 0, true); end
function ShowProcrustes() % function ShowProcrustes() % minimize || A - BQ ||_F where A and B are the same size and Q is % orthogonal. clc fprintf('The Orthogonal Procrustes Problem\n\n') m = 7; n = 4; A = randn(m,n); [Q0,R] = qr(randn(n,n)); B = A*Q0 + .01*(-1+2*rand(m,n)); Q = Procrustes(A,B); fprintf('...
clear all; rehash; front_addr_ = 'tcp://125.64.36.26:52213'; broker_id_ = '2001'; investor_id_ = '8880000052'; investor_password_ = '123456'; ret = mdlogin(front_addr_, broker_id_, investor_id_, investor_password_); if ret % a[0] = Asset("180ETF¹º6ÔÂ2905A", "11000613"); % a[1] = Asset("180ETF¹º6ÔÂ2954A", "11...
function P = dfs_visit(A, E, u, v, color) function w = caclPathFlowWidth(path, E, theta) % 计算通路的最小流量宽度 % theta -- 误差(可根据实际情况设定,例如0.1) q = []; for e = path q = [q E(e,3)]; % 提取分支的流量 end % q = q(find(q>theta)); w = min(q); % 求最小的流量 end func...
clear; clc; close all; config_re_tx; %% * Load batch data indexSet = 1 : nBatches; reAoSet = cell(nBatches, length(Variable.nTxs)); reLcSet = cell(nBatches, length(Variable.nTxs)); for iBatch = 1 : nBatches try load(sprintf('../data/re_tx/re_tx_%d.mat', iBatch), 'reAoInstance', 'reLcInstance'); reA...
function [month_indices month_indices_in_days number_of_months] = get_month_indices(DATA,day_indices) if ~exist('day_indices','var') day_indices =get_day_indices(DATA); end month_indices = cell(1,1); month_indices_in_days = cell(1,1); Z = size(DATA,1); D = length(day_indices); M = zeros(D,1); for d=1:D ti...
function [errorCode,errorMsg,packet] = queryAccount(self) %QUERYACCOUNT 在CounterHSO32中重新包装函数QueryAccount % -------------------------- % 程刚,20160201 connection = self.connection; token = self.token; accountCode = self.accountCode; combiNo = self.combiNo; [errorCode,errorMsg,packet] = QueryAccount(connectio...
function dmin = mindist(G) % function dmin = mindist(G) % G is an NxK matrix % % Compute the minimum distance of a binary code % by exhaustive checking. (Therefore, only good for codes up to % moderate sizes % Copyright 2004 by Todd K. Moon % Permission is granted to use this program/data % for educational/research ...
%Lotanna Ezenwa, Problem Set 4, #2 %PS4_2.m %% Due Wednesday, April 20th, 2016 clear me = LotaEzenwa(); code = me.id; clf PS_4_2
% curb parking % three kinds of spaces: % white - available % gray - parking % black - obstile clear all clc format longg rng(123); % creating a single seed for repetetivity % Define street L_street = 150; % [meters] L_street_binning = L_street*100; % [cm] global White_space Gray_space Black_space Wh...
%Example 3.26 % clf; figure(gcf) setfsize(300,300); echo on clc % SOLVEHOP - 设计Hopfield网络 % SIMUHOP - 对Hopfield网络进行仿真 pause % Strike any key to define the problem... clc T = [+1 +1; -1 +1; -1 -1]; plot3(T(1,:),T(2,:),T(3,:),'r*') axis([-1 1 -1 1 -1 1]) xlabel('a(1)') ylabel('a(2)') zlabel('a(3)') tit...
% 论文代码主程序1 clear clc fd = 10; fc = 1000; fs = 10000; data = bingen(1000); C = mseq(5); % data1 = ds_mod(C,data); % [t,Y] = BPSKmod(data1,fd*length(C),fc,fs); % Z = BPSKdemod(Y,fs,fc,fd*length(C)); % Z1 = ds_demod(C,Z); data1 = ds_mod(C,data); [t1,y1] = BPSKmod(data1,fd,0,fs); [t2,y2] = BPSKmod(data1,f...
%ass 2.2 1 %position pid for the hub position (collocated control) %we_are_in_a_simulation = 0; %0 = WE ARE NOT IN A SIMULATION %stop_time = 10; if exist('we_are_in_a_simulation','var') == 1 else disp("can't find we_are_in_a_simulation... assuming we_are_in_a_simulation = 1") we_are_in_a_simulation = 1; end ...
qwe=10:10:250; res=[]; for iqwe=1:numel(qwe) param.K=qwe(iqwe); s = RandStream('swb2712','Seed',1);RandStream.setGlobalStream(s); [rDs rYs]=nnsc(rXs(:,drtrn),param); res(iqwe)=norm(rDs*rYs-rXs(:,drtrn),'fro'); end
function [ output_args ] = neurIO_nev( input_args ) %NEURIO_NEV Summary of this function goes here % Detailed explanation goes here end
function FN = get_FN(N) F = [1,0;1,1]; FN = zeros(N,N); FN(1:2,1:2) = F; for i = 2:log2(N) FN(1:2^i,1:2^i) = kron(FN(1:2^(i-1),1:2^(i-1)),F); end end
function statsClusterMenu(~,~,fig) %statsClusterMenu - draw the menu for cluster analyses disp('Not available'); return % Get the guidata sts = guidata(fig.fig); if isempty(sts) return end % Draw the window to help control the colours / groups / etc [window] = manipulateWindow(fig,sts); % Set the callback for t...
function [ bets ] = choose_bet( ) %CHOOSE_BET Make a random selection of numbers to bet on % This is an approximation of real moves - we don't verify for instance % that a choice of three numbers are in sequence. choices = [1, 2, 3, 4, 6, 12, 18]; available = linspace(0, 36, 37); choice_idx = round...
function y = dReLU(x) % derivative of the ReLU function y = 1./(1 + exp(-x)); end
Config(); % 2D geometry descriptor geom{1} = EntCirc([0,0], .1); geom{2} = EntCirc([0,0], .2); figure; for i= 1:length(geom) plot(geom{i}.points(:,1), geom{i}.points(:,2),'k.-') hold on; end axis equal; axis tight;
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% % FRE 6251 Numerical and Simulation Techniques in Finance % Assignment #5 % Name: Surya L Gurung ID: 0449604 %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% function [Y, error1] = ImportanceSampling(So...
function [x,fval,exitflag,output] = RHC_NN(x0) %% This is an auto generated MATLAB file from Optimization Tool. %% Start with the default options options = psoptimset; %% Modify options setting options = psoptimset(options,'Display', 'off','timelimit',400); options = psoptimset(options,'PlotFcns', { @psplotbestf }); [...
% Image Compression using DCT for 10% quality and 90% quality clc; clear all; close all; a=imread('cameraman.tif'); %a1=im2bw(a); a2=double(a); [r,c]=size(a2); % subplot(2,1,1); % imshow(a); % subplot(2,1,2); % imshow(a2); %shifting level from (0 to 255) to (-127 to 127) a3=0; for i=1:r for j=1...
somcount=100 digitsize = 8 digitdimension = digitsize * digitsize for s=0:(somcount-1) filename = sprintf("9_%d.som",s) mapdim = dlmread(filename, ' ', [0,0,0,1]); Mosaic=[] alldata = dlmread(filename,' ', 1,0); border = (max(max(alldata))) for i=1:mapdim(1) MosaicRow=[] for j=1:mapdi...
function [x1,x2] = quadrat(coeffs) % % Solves the quadratic formula for function with coefficients specified % in coeffs % x1 = (-coeffs(2) + sqrt(coeffs(2)^2 - 4*coeffs(1)*coeffs(3)))/(2*coeffs(1)); x2 = (-coeffs(2) - sqrt(coeffs(2)^2 - 4*coeffs(1)*coeffs(3)))/(2*coeffs(1)); end
function icl = segmentICLCirc(bscan, params, rpe, medline) % SEGMENtICLCIRC Segments some inner retinal layers from a BScan. % Intended for use on % circular OCT B-Scans. % BSCAN: Unnormed BScan image %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% % PARAMS: Parameter struct for the autom...
function dpnManipulateCallback(~,~,fig,mode,man) %dpnManipulateCallback - change the ion image in the axes depending on the %options specified in the mini window... % Get the main figure's guidata dpn = guidata(fig.fig); if isempty(dpn) return end % Determine ion mode switch mode case 'pos' dx = dpn.d...
function [finalA, finalE] = robustpca(tagmatrix, lambda1, lambda2, tagCorrelation, contentCorrelation, maxIters, stopPrecision, mu) % initialization, see Algorithm 2 [zhu2010] [m,n] = size(tagmatrix); X_km1_A = zeros(m,n); X_km1_E = zeros(m,n); X_k_A = zeros(m,n); X_k_E = zeros(m,n); b_k = 1; b_km1 = 1; ...
function varargout = clusterRDM_imana(what, varargin); %% % Access to: % - glm directory % - surface caret directory % - pre-calculated distance result % - region of interest directory % - % Does: % - clustering using RDM (or second-moment matrix) % - some visualization % % % ayokoi (Jul 2018) %% Da...
function [x, y] = BackwardEular(init, left, right, h) MAX = 100; eps = 10e-8; x = left:h:right; y = zeros(size(x)); y(1) = init; for i=1:length(x)-1 tmp = y(i) + h*(y(i) - 2*x(i)/y(i)); prev = tmp; for j=1:MAX y(i+1) = y(i) + h*(tmp - 2*x(i+1)/tmp); if abs(y(i+1) - prev) < eps ...
function [M,Start_ratio,Gr,Final_ratio,T1,T2,T3,T4]=EngineData(x,M_v,M_d); if x==1 %First engine one piston M_eng=30; %%engine mass [kg] M=M_v+M_d+M_eng; %%total mass [kg] Start_ratio=76/31; Gr=[2.5714 1.8824 1.4737 1.1818 0.958 0.807]; %% Gear ratio Final_ratio=27/11; T1=680; %% First momen...
function [respuesta] = householder(matriz,b) [largo,ancho] = size(matriz); U = zeros(largo,ancho); R = matriz; for j = 1:min(largo,ancho) aux = R(j:largo,j); nu = norm(aux); if nu ~= 0 u = aux/nu; u(1) = u(1) + sign(u(1)) + (u(1) == 0); u = u/sqrt(abs(u(1))); else u = ...
clear all % load('simulations/simul_susc_fit.mat') load tester [t,y,t_short,refin] = model_HK(simulength, susc, cont_mat, agg_istat_pyr, tau, delta_E, prob_symp, gammaI, gammaA, initS, initE, initI, initA, initR, firstDay); lastDay = simulength*refin + simulength + 1; initS_lock = y(lastDay,1:6); initE_lock = y(lastD...
function H = getH(A,B) % returns the 3x3 Homography for the 2 point correspondence matrices A and B: % A: 4 points from source image % B: 4 points from transformed image (camera view) % A = [x1 x2 x3 x4 B = [x1' x2' x3' x4' % y1 y2 y3 y4] y1' y2' y3' y4'] % Create matrix C C = []; for j=1:4 part = [...
% Set average weights for CV SVM models across all iterations. % it gives the normalized average of normalized weights. %% Set the decoder weights for each SVM model wNsHrLrAve_train_alls_dataVSshuff = cell(1, length(dataType)); for id = 1:length(dataType) cnt = 0; wNsHrLrAve_train_alls_dataVSshuff{...
% input = load('6pointsinputs.txt'); % output = load('6pointsoutputs.txt'); input = load('fg_inputs.txt'); output = load('fg_outputs.txt'); input(:,4) = output; positive = input(input(:,4)==1,:); negative = input(input(:,4)==-1,:); figure; plot3(positive(:,1),positive(:,2),positive(:,3),'+'); hold on; plot3(negative(:...
clear all global colors = 'rgbk'; dotstyles = '*.^+'; collations = {'individual', 'species', 'family', 'family-s'}; %collations = {'species', 'family-s'}; figure; h = []; for ci = 1:length(collations) [bvols, ccas, gmas, gmvs] = ris_collate(collations{ci}); [ntot, ncc, nintra] = predict_nfibers(predict_brwt(b...
function [hScale,hLabel] = scalebar(hAxis,dist,units,axis,pos) %=============================================================================== % SCALEBAR Generates a scalebar according to x or y data or both x and y data. % % PARAMETERS: % hAxis Axis in which to draw scalebar. % [dist] Distance in units of x or y data...
% mps: sequential simulation of mulitple points statistical model % % Very simple 2D implementation of the MPS approach % described by Guardiano and Srivastava (1993) % % Call % [out,options]=mps(TI,SIM,options) % % % TI: [ny,nx] 2D training image (categorical variables % SIM: [ny2,nx2] 2D simulation grid. 'NaN...
% % Extract requested image image. Returns a single-precision grayscale % image. % %@ % Copyright 2016 The Johns Hopkins University Applied Physics Laboratory % % Permission is hereby granted, free of charge, to any person obtaining a copy % of this software and associated documentation files (the "Software"...
function warped_img = ComputeFlowWarpFrame(img0, img1, u0, v0, t) % Use forward flow warping to compute an interpolated frame. % % INPUTS % img0 - Array of size h x w x 3 containing pixel data for the starting % frame. % img1 - Array of the same size as img0 containing pixel data for the % ending frame. %...
function eig=SolveSecularEqNeg(D,w,Dsort) %% % SolveSecularEq in Treften Page 231, (30.12) With negative case % m=size(w,1); eig=zeros(m,1); for i=2:m eig(i)=(Dsort(i-1)+Dsort(i))/2; left=Dsort(i-1); right=Dsort(i); while true if (abs(left-right)<10e-...
function get_headers %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% % % get_headers.m % % open data files and read headers for making an ltsa file % %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% global PARAMS m = 0; ...
function [SPnew, MZnew, bin, SizeMZ]=workflowDESI(PathName,sample) %% workflow applys preprocessing on DESI imaging, thermo, centroid mode data %% Input: PathName: directory of the imzML files % sample: name of the imzML file % ppm - part per million error of the instrument % binO...
%% Get a set of initial datatau = 20 tau = 15; rho = 0.01; %Firstly indicate those variables based on the calculation, and are needed %in later result global g_etau g_dev_etau g_lr_pass g_lr_tran g_lr_stop g_gradient_lr_pass g_gradient_lr_stop %Then indicate those variables that pre-set to this IIR filter, including %p...
function [delta, ind] = purepursuitcontroller(state, cx, cy, pind, k, lfc, L) ind = findMIN(state, cx, cy, k, lfc); if pind >= ind ind = pind; end if ind < length(cx) tx = cx(ind); ty = cy(ind); else tx = cx(1); ty = cy(1); ind = length(cx...
function data = createFeatureData(files) %CREATEFEATUREDATA Function for creating feature vectors from multiple % files and storing them in a vector. % % D = createFeatureData(FILES) will return a vector containing % 'FeatureVector' type objects. % % FILES is a vector of dir type structures that contains am...
function [bodyForce_data] = connectForces2Bodies(structData, body); %connectbody2Forces() assigns forces to body rather than forceplates. % OpenSim connects bodies to forces using an external loads file. However % it can be easier if we allocate the external forces to bodies, %...
function plot_mean_and_var(x, y, i, clrB, clrF, plot_title, ylab) % Create figure figure1 = figure(i); % Create axes axes1 = axes('Parent',figure1); % Final dy = std(y)'; y = mean(y)'; x = x'; fill([x;flipud(x)],[y-dy;flipud(y+dy)], clrB,'linestyle','none'); hold on ...
clear all; close all; image=imread('image.jpg'); filter=lofg(1.4,9); answ=operation(image,filter); %zero crossing thing final=zcross(answ); output_image=im2uint8(final); figure; imshow(image); title('Original Image'); figure; imshow(output_image); title('After applying Marr-Hildreth algorithm'); figure; imshow(ans...
function [t_sim,x_sim,j_sim,y_sim] = simulate_model(tspan,x0,p,p0,u,m) %% states if isfield(m.info,'mexfile') [t_sim,x_sim] = feval(m.info.mexfile,tspan,x0,p,u,[1e-6 1e-8 10]); else [t_sim,x_sim] = ode15s(m.info.odefile,tspan,x0,m.info.ode_options,p,u,m); t_sim = t_sim'; x_s...
function obj=obj_fun(x,varargin) % This is a example of optimizing a cardboard box % 3 design variables and 2 responses. % Design variables: DV1 = W - width of a cardboard box % DV2 = H - height of a cardboard box % DV3 = D - depth of a cardboard box % Responses: R1 = V - Volume of a cardboard box % ...
function p =tofChirpCommand(varargin) %p =tofChirp(numChirps, moteID, context) % %This packet will make a mote with TOF_RANGING install chirp %a packet and sound at the same time % %Adjust the relevant global parameters listed below before calling this function. % "Copyright (c) 2000 and The Regents of the Univers...
function [Z,Y,details]=Dual_GlobalFBE(obj,x0) % % This function calculate the optimal solution using the % APG algorithm on the the dual problem for the system at the % given initial point % % INPUT: x0 : initial point % % OUTPUT: Z : primal solution % Y : dual solution % details : str...
function [spikeRate, spikeMat, timeOut, indBase] = makeSpikeRatesSI(foo, range , bin, filtWidth) clCell = foo; time = range(1):bin:range(2); filtSize = round(filtWidth./bin); filter = gausswin(filtSize)./sum(gausswin(filtSize)); %% nTrials = length(clCell); for n = 1:nTrials thistrial = clCell{n}; [N,edges...
function [rseq_data,gene_symbols,sample_conditions] = readrseqdata(file_name) tmp_data = readtable(file_name,'ReadVariableNames',false); gene_symbols = table2cell(tmp_data(2:end,1)); sample_conditions = table2cell(tmp_data(1,2:end)); clear tmp_data; rseq_data = csvread(file_name,1,1); return; end
%% General System Parameters =============================================== % Mooring options startEquil = true; seafloorConstraint = false; MWL = 60; rho_f = 1020; % [kg/m^3] tf = 30; % s tStep = 0.02; % s domain = [-20 140 -20 80 0 40]; perspective = [105 10]; % [Azimuth, Elevation] DynamicModel = false; Slackline...
function res = rotateY(degs) rads = deg2rad(degs); res = [ cos(rads) 0 sin(rads); 0 1 0; (-sin(rads)) 0 cos(rads) ]; end
%MOISES BARBERA RAMOS %13-11-2018 clear all close all clc %FILTER 2mm - used for the first set to analyse M = csvread('2mm filter day 2.csv') %PEAK 1 theta1 = M(14:37,1); I1 = M(14:37,2); %PEAK 2 theta2 = M(41:52, 1); I2 = M(41:52, 2); %PEAK 3 theta3 = M(93:110, 1); I3 = M(93:110, 2); %PEAK 4 the...
function [channels, clips, timesUsec, labels] = f_loadDataClips(dataset, params, runDir) % Usage: f_feature_energy(dataset, params) % Input: % 'dataset' - [IEEGDataset]: IEEG Dataset, eg session.data(1) % 'params' - Structure containing parameters for the analysis % % dbstop in f_loadDataClips at 18 ...
%check for connectivity for directed graph %13.10.2013 Ershov Egor (Ershoff) %Description information about graph is in connectivity %matrix. Scale of the matrix is doesn't matter. function [bitwise_answer] = check_connectivity(G) n = length(G); I = zeros(1,n); I(1) = 1; count = 1; while ( sum(I)...
% Script to compute HOG2x2 or SIFT features % % % NOTE: This is adapted from Aditya's feature-extraction codes. % % Copyright Aditya Khosla http://mit.edu/khosla % % Please cite this paper if you use this code in your publication: % A. Khosla, J. Xiao, A. Torralba, A. Oliva % Memorability of Image Regions % Adva...
% Example of using lmdb and caffe protobuf (datum) in matlab. % % by Jiayu, July 1, 2015. % % NOTE 1. start matlab with a specified libtiff.5.dylib. % DYLD_INSERT_LIBRARIES=/usr/local/lib/libtiff.5.dylib /Applications/MATLAB_R2012b.app/bin/matlab & % % 2. install matlab-lmdb % https://github.com/illidanlab...
N = 512; % number of samples T = 20; % meaning?? K = 120; % used to represent a sample x = zeros(N,1); q = randperm(N); x(q(1:T)) = sign(randn(T,1)); % 设置一个标准? 与恢复的结果做对比?? disp('Creating measurment matrix...'); A = randn(K,N); % A is a matrix of training samples, a sample is K-dim % can be considered ...
clc clear %% PCA A = rand(100,20); %input B = pca(A); %coeff C = B(:,1:10); %choose how big your matrix number D = A*C; % output
function [track,track_index]=Mintrack_1505032(A,B) %disp('trackmin A is:'); %disp(A); %disp('trackmin B is:'); %disp(B); [a,~] = size(A); %disp('trackmin A row is:'); %disp(a); ratio=intmax('int64'); if(A(1)~= 0) ratio=B(1)/A(1); end track=A(1); track_index =1; for k=1:(a-1) if((B(k)/A(k))<ratio&&...
function RGB = irpThresholdsGray2RGB(I, low, high) % RGB = irpThresholdsGray2RGB(I, low, high) % Konvertiert ein Graustufenbild in ein RGB-Bild mit folgenden % Farbwerten (R,G,B): % - (0, 0, 255) Hintergrund (blau) % - (0, 255, 0) Bauteile (grün) % - (255, 0, 0) Schlitten (rot) % - (0, 0, 0) Sonst (schw...
clear,clc; disp('************************For partial derivative calculation************************') Solver = EllipticProblemCalculatePartialDerivative3d(1,1,50,5); Solver.EllipticProblemSolve; clear; disp('************************End partial derivative calculation************************') disp('********************...
function [] = reportWord(xlsFilename, period) % 给excel版本nav数据,自动生成word报告,评价单nav % 具体细节见FAQ % [] = reportWord(xlsFilename, period) % 输入: % xlsFilename: excel文件的名字(含路径),输入的nav数据在里面 % period:数据周期, d245/d360/d365/w/m/q/y % 输出: % 一篇word文档,在当前路径下 % --------------------------------------- % 唐一鑫,20150730,出版本,建立在陈思思...
function createfigure(xdata1, ydata1, zdata1, cdata1, X1, Y1, Z1, S1, c1) %CREATEFIGURE(XDATA1, YDATA1, ZDATA1, CDATA1, X1, Y1, Z1, S1, C1) % XDATA1: surface xdata % YDATA1: surface ydata % ZDATA1: surface zdata % CDATA1: surface cdata % X1: scatter3 x % Y1: scatter3 y % Z1: scatter3 z % S1: sc...
clear all close all; load fakedataEPfits_1 load fakedataEPfits_2 load fakedataEPfits_3 load fakedataEPfits_4 load fakedataEPfits_5 diff_AIC_LL = [diff_AIC_LL_1; diff_AIC_LL_2; diff_AIC_LL_3; diff_AIC_LL_4; diff_AIC_LL_5]; diff_AICc_LL = [diff_AICc_LL_1; diff_AICc_LL_2; diff_AICc_LL_3; diff_AICc_LL_4; diff_AI...
% Nithilam Subbaian MatLab assignment One %Question 1 a = 5.7 * pi / 6.9; b = 239 + exp(5) - 2.5*10^(23); c = log(exp(4.23))* asin(0.7); z = (3+2j) * (4+5j); %Question 2 real_z = real(z); imag_z = imag(z); magnitude_z = abs(z); phase_z = angle(z); complex_z = conj(z); %Question 3 aVec = [3.14 15 9 26...
folder ='C:\Users\hp\Desktop\project on watermarking\comparison_plots\tables.xls'; % % jpeg x = [70, 50, 40, 30, 20, 10, 5]; our = [0.9997, 0.9996, 0.9996, 0.9995, 0.9994, 0.9993, 0.9992]; one = [0.9940, 0.9900, 0.9880, 0.9870, 0.9830, 0.9720, 0.9520]; two = [0.9990, 0.9990, 0.9990, 0.9980, 0.9980, 0.9950, 0.986...
% defining relevant parameters T= 1; T1=1/4; N=10; a=-T1; b=T1; t1=-0.5:0.001:0.5; % defining relevant expressions syms t; xt = 1/4 - abs(t); % triangle wave % function call to fourierCoeff which returns array of fourier coefficients F = fourierCoeff(N,T,t,xt,a,b); %function call to partialfouriersum which returns ...
function add_processed_signals(varargin) % ADD_PROCESSED_SIGNALS -- Save SignalContainer objects for each active % epoch, as defined in dsp2.config.create(). % % IN: % - `varargin` ('name', value) -- Optionally pass in a config file % with 'config', conf defaults.config = dsp2.config.load(); d...
function [name, links, joints, transmissions] = ros_load_urdf(urdf_file, N) % This function parse the ROS URDF file % % @note At this moment, this parser only support the 'link' and 'joint' % elements in the URDF file. More options are coming soon ... % % Return values: % name: the name of t...
%% tfSettings.m % function settings = tfSettings() pathToDMF = which('tfSettings'); pathToDM = regexprep(pathToDMF,'tfSettings.m',''); load([pathToDM,'.tfSettings.mat']);
function [pm,path]=calculatecylindermoves(sqnum,movepoints,obstacles) ylen=25; xlen=25; pm{1}=sqnum; pm{2}=[];%1 movepoint pm{3}=[]; pm{4}=[]; path=[]; offset=[1 -1 0 0 0 0 -1 1]; for i=2:movepoints+1 for j=1:length(pm{i-1}) [x,y]=getxy(pm{i-1}(j)); for k=1:4 xnew=x+offs...
% nice_aparc_plotter.m % % Code here to make a nice aparc connectivity parcellation % Assumes that you have 82 regions i.e. 34 Desikan killany regions Left: 7 Subcortical regions (from aparc) for each hemi % % 2020 % Kevin Aquino <aquino.km@gmail.com> % function [square_mat,inds,total_order,all_regions,cmap] = nice...