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www.eeworm.com/read/223158/14651704
m irdct.m
function x=irdct(y,n)
%IRDCT Inverse discrete cosine transform of real data X=(Y,N)
% Data is truncated/padded to length N.
%
% This routine is equivalent to multiplying by the matrix
%
%
www.eeworm.com/read/223158/14651711
m lpcrf2aa.m
function aa=lpcrf2aa(rf)
%LPCRF2AA Convert reflection coefficients to area function AA=(RF)
%The areas are normalised so that aa(p+2)=1: the effective area of the free air beyond the lips.
% aa(1)
www.eeworm.com/read/223154/14651798
m lumped.m
function [B,A]=lumped(K,Fs)
% Transfer functions of the lumped alpha model
% [B,A]=lumped(K [,Fs])
%
% [B,A] are the denominator and nominator, resp. , for a
% the coupling parameter K an
www.eeworm.com/read/223154/14651876
m demo6.m
%Demo6 - demonstrates the transfer function of the
% lumped circuit model for various feedback gains
%
% see also LUMPED
%
% Reference)(s)
% [1] Lopes da Silva FH, Hoeks A, Smits H
www.eeworm.com/read/223154/14652223
m rms.m
function o=rms(i,DIM)
% RMS calculates the root mean square
% can deal with complex data.
%
% y = rms(x,DIM)
%
% DIM dimension
% 1 STD of columns
% 2 STD of rows
% N STD of N-th dimensio
www.eeworm.com/read/221728/14725766
txt readme.txt
MSRC4Plugin v1.2.0 - Win32 - 2/25/2006
Copyright (C) 2003-2005 Sean E. Covel - All rights reserved
**********************************************************************
This program
www.eeworm.com/read/221578/14736915
h pkcs5_pbkdf2.h
/* $NetBSD: pkcs5_pbkdf2.h,v 1.3 2004/03/17 01:29:13 dan Exp $ */
/*-
* Copyright (c) 2002, 2003 The NetBSD Foundation, Inc.
* All rights reserved.
*
* This code is derived from software contribu
www.eeworm.com/read/218613/14912820
m qvec.m
% qvec Empty state vector for a given number of qudits.
% qvec(n,d) creates an n qudit empty state vector where d is the
% dimension of the qudits. If d is omitted then it is taken to be 2.
%
www.eeworm.com/read/218613/14912829
m qeye.m
% qeye Identity matrix for a given number of qudits.
% qeye(n,d) creates an n qudit identity matrix where d is the
% dimension of the qudits. If d is omitted then it is taken to be 2.
% If
www.eeworm.com/read/218613/14912848
m mineig.m
% mineig Minimum eigenvalue of a matrix
% mineig(M) gives back min(real(eig(M))).
% Note the function real() in the expression.
% This takes care of the small imaginary parts
% appearin