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www.eeworm.com/read/258131/11882926
h interleaver.h
/* File interleaver.h
Description: Functions used to create the UMTS/3GPP and CCSDS interleavers.
Copyright (C) 2005-2006, Matthew C. Valenti
Last updated on June 24, 2006
F
www.eeworm.com/read/154843/11923809
m randvec.m
function x=randvec(n,m,c)
%RANDVEC Generate gaussian random vectors X=(N,M,C)
% generates a random matrix of size (n,p) where p is the maximum dimension of m or c
% Each row of x is independent wi
www.eeworm.com/read/343744/11930735
m sqrb.m
function [R,H,rowperm,C] = sqrB(A,nsteps,nelim,nstk,nle,Pr,B)
% SQRB Factorization routine in SQR.
% @(#)sqrB.m Version 1.3 11/24/97
% Pontus Matstoms, Linkoping University.
% Mikae
www.eeworm.com/read/343744/11930752
m apph.m
function C=appH(HH,B)
% appH Applies the orthogonal matrix Q on a vector
% @(#)appH.m Version 1.2 9/16/97
% Mikael Lundquist, University of Linkoping.
% e-mail: milun@mai.liu.se
%
%
www.eeworm.com/read/343744/11930773
m appht.m
function C=appHT(HH,B)
% appH Applies the orthogonal matrix Q^T on a vector
% @(#)appHT.m Version 1.2 9/16/97
% Mikael Lundquist, University of Linkoping.
% e-mail: milun@mai.liu.se
www.eeworm.com/read/154673/11939220
m kalman.m
function [X,P,H]=kalman(Y,A,C,Q,R,x1,p1)
% Y: data observed (m*1)
% X: estimate of the state vector (n*1)
% A: state transition matrix (n*n)
% C: measure ment matrix (m*n)
% Q: correlation matrix
www.eeworm.com/read/154566/11945674
m mio.m
% Face recognition by Santiago Serrano
clear all
close all
clc
% number of images on your training set.
M=9;
%Chosen std and mean.
%It can be any number that it is close to the std and mean
www.eeworm.com/read/257010/11960490
m observer.m
function [G, Ae] = observer(A,B,C,Pe)
% H. Saadat, 1998
clc
% discr=[
%' This function is used for the computation of the estimator gain '
%' gain vector G based on the Ackermann`s formul
www.eeworm.com/read/154209/11982899
m pmem.m
function varargout = pmem( xR, p, nfft, Fs, flag )
%PMEM Power Spectrum estimate via MEM (Maximum Entropy Method).
% Pxx = PMEM(X,ORDER,NFFT) is the Power Spectral Density estimate of signal
%
www.eeworm.com/read/154209/11983027
m latcfilt.m
function [f,g] = latcfilt(k,v,x)
%LATCFILT Lattice and lattice-ladder filter implementation.
% [F,G] = LATCFILT(K,X) filters X with the FIR lattice coefficients
% in vector K. F is the forward