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function Fre_Est=Base_Esprit_2_LS(x,p,array_n,as) N=length(x); r=xcorr(x,'biased'); R_xx=zeros(array_n,array_n); R_xy=zeros(array_n,array_n); for m=0:array_n-1 R_xx(m+1,:)=r(N+m:-1:N+m-array

function Fre_Est=Base_Esprit_1_Ls(x,p,array_n,num) %x:input real signal %p:the numble of the signal %m:the numble of the array attena N=length(x); r=xcorr(x,'biased'); R_xx=zeros(array_n,array_n

function u = pe2LF(a,b,dt,nx,minx,maxx,ny,miny,maxy,M) %啦-佛 format long; hx = (maxx-minx)/(nx-1); hy = (maxy-miny)/(ny-1); for i=1:nx+2*M for j=1:(ny+2*M) u0(i,j) = Ini2U(minx+(i-M-

function [idx2,min_d2]=nearpoint(data,tau,m,P) %求最后一个向量的最近点和距离 N=length(data); Y=reconstitution(data,N,m,tau );%reconstitute state space M=N-(m-1)*tau;%M is the number of embedded points in m-dime

function [x_1,x_2]=pre_by_lya_new(m,lmd,whlsj,whlsl,P,idx) % m=7; % imd=0.144076; % data=load('f:\wuyouli\data\bk.txt'); % whlsj=data(:,4); % [lll,whlsl]=size(whlsj); % global a Y ind for j=1:(

function m = rvecrep(v,c) % RVECREP Row vector replicate % % M = rvecrep(V, C) Replicates a 1xN dimensional row vector V, C times to generate a % CxN dimensional matrix M. % % See also % CVE

function m = cvecrep(v,c) % CVECREP Column vector replicate % % M = cvecrep(V, C) Replicates a Nx1 dimensional column vector V, C times to generate a % NxC dimensional matrix M. % % See also %

% DATAMAT Packs a vector of data (length N) into a datamatrix of dimension M-by-(N-M+1) % % D = datamat(x,M) % % INPUT % x vector of data % M data matrix window (f

%求信号自相关函数 function R=r(x) N=length(x); for m=1:N S=0; for n=1:N-m S=S+x(n)*x(n+m-1); end R(m)=S/N; end

function [W, e, Lambda] = dct_lms_C(u, d, M, alpha, beta, gamma, verbose) % function [W, e, Lambda] = dct_lms_C(u, d, M, alpha, beta, gamma, verbose) % % dct_lms_C.m - use DCT-LMS algorithm with recur