代码搜索：FOUNDATION
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www.eeworm.com/read/440750/7682138
m choosrnk.m
function x=choosrnk(n,k)
%CHOOSRNK All choices of K elements taken from 1:N with replacement. [X]=(N,K)
% The output X is a matrix of size ((N+K-1)!/(K!*(N-1)!),K) where each row
% contains a choic
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m lpccc2db.m
function db=lpccc2db(cc,np,nc)
%LPCCC2DBf Convert complex cepstrum to dB power spectrum DB=(CC,NP,NC)
% cc = complex cepstrum coefs
% np+2 = number of frequency values 0 to nyquist (default: np=siz
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m rotmr2qr.m
function qr=rotmr2qr(mr)
%ROTMR2QR converts a matrix of real quaternion matrices to quaternion vectors
% Inputs:
%
% MR(4m,4n) mxn matrix of real quaternion matrices (each 4x4)
%
% Output
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m potsband.m
function [b,a]=potsband(fs)
%POTSBAND Design filter for 300-3400 telephone bandwidth [B,A]=(FS)
%
%Input: FS=sample frequency in Hz
%
%Output: B/A is a discrete time bandpass filter with a passba
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m qrabs.m
function [m,q]=qrabs(q1)
%QRABS absoloute value and normalization of a real quaternions [m,q]=[q1]
%
% Inputs:
%
% q1(4,1) A real quaternion in the form [r, i, j, k]' where i^2=j^2=k^2=ijk=-
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m kmeanlbg.m
function [x,esq,j] = kmeanlbg(d,k)
%KMEANLBG Vector quantisation using the Linde-Buzo-Gray algorithm [X,ESQ,J]=(D,K)
%
%Inputs:
% D contains data vectors (one per row)
% K is number of centres re
www.eeworm.com/read/440750/7682205
m atan2sc.m
function [s,c,r,t]=atan2sc(y,x)
%ATAN2SC sin and cosine of atan(y/x) [S,C,R,T]=(Y,X)
%
% Outputs:
% s sin(t) where tan(t) = y/x
% C cos(t) where tan(t) = y/x
% r sqrt(x^2 +
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m pcma2lin.m
function x=pcma2lin(p,m,s)
%PCMU2LIN Convert A-law PCM to linear X=(P,M,S)
% lin = pcma2lin(pcma,m,s) where pcma contains a vector or matrix
% of A-law values in the range 0 to 255.
% No checking
www.eeworm.com/read/440750/7682215
m lpcdl2aa.m
function aa=lpcdl2aa(dl)
%LPCDL2AA dct of log area to area coefficients AA=(DL)
% we do not correct for sinc errors
% Copyright (C) Mike Brookes 1997
% Version: $Id: lpcdl2aa.m,v 1
www.eeworm.com/read/440750/7682224
m rdct.m
function y=rdct(x,n,a,b)
%RDCT Discrete cosine transform of real data Y=(X,N,A,B)
% Data is truncated/padded to length N.
%
% This routine is equivalent to multiplying by the matrix
%
% rd