Digital Signal Processing Using MATLAB: ex040900.m - File Exchange

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Highlights from
Digital Signal Processing Using MATLAB

Blackman(M); M-point Blackman window
Hr_Type1(h); Computes Amplitude response Hr(w) of a Type-1 LP FIR filter
Hr_Type2(h); Computes Amplitude response of Type-2 LP FIR filter
Hr_Type3(h); Computes Amplitude response Hr(w) of a Type-3 LP FIR filter
Hr_Type4(h); Computes Amplitude response of Type-4 LP FIR filter
[y,H]=conv_tp(h,x) Linear Convolution using Toeplitz Matrix
afd_butt(Wp,Ws,Rp,As); Analog Lowpass Filter Design: Butterworth
afd_chb1(Wp,Ws,Rp,As); Analog Lowpass Filter Design: Chebyshev-1
afd_chb2(Wp,Ws,Rp,As); Analog Lowpass Filter Design: Chebyshev-2
afd_elip(Wp,Ws,Rp,As); Analog Lowpass Filter Design: Elliptic
cas2dir(b0,B,A); CASCADE-to-DIRECT form conversion
casfiltr(b0,B,A,x); CASCADE form realization of IIR and FIR filters
cheb1hpf(wp,ws,Rp,As) IIR Highpass filter design using Chebyshev-1 prototype
circevod(x) signal decomposition into circular-even and circular-odd parts
circonvt(x1,x2,N) N-point circular convolution between x1 and x2: (time-domain)
cirshftt(x,m,N) Circular shift of m samples wrt size N in sequence x: (time domain)
conv_m(x,nx,h,nh) Modified convolution routine for signal processing
cplxcomp(p1,p2)
db2delta(Rp,As) Conversion from Relative dB specs to Absolute delta specs.
delta2db(delta1,delta2) Conversion from Absolute delta specs to Relative dB specs
dfs(xn,N) Computes Discrete Fourier Series Coefficients
dft(xn,N) Computes Discrete Fourier Transform
dir2cas(b,a); DIRECT-form to CASCADE-form conversion (cplxpair version)
dir2fs(h) Direct form to Frequency Sampling form conversion
dir2ladr(b,a) IIR Direct form to pole-zero Lattice/Ladder form Conversion
dir2latc(b) FIR Direct form to All-Zero Lattice form Conversion
dir2par(b,a); DIRECT-form to PARALLEL-form conversion
evenodd(x,n) Real signal decomposition into even and odd parts
freqs_m(b,a,wmax); Computation of s-domain frequency response: Modified version
freqz_m(b,a); Modified version of freqz subroutine
hsolpsav(x,h,N) High-speed Overlap-Save method of block convolutions using FFT
ideal_lp(wc,M); Ideal LowPass filter computation
idfs(Xk,N) Computes Inverse Discrete Fourier Series
idft(Xk,N) Computes Inverse Discrete Transform
imp_invr(c,d,T) Impulse Invariance Transformation from Analog to Digital Filter
impseq(n0,n1,n2)
ladr2dir(K,C) Lattice/Ladder form to IIR Direct form Conversion
ladrfilt(K,C,x) LATTICE/LADDER form realization of IIR filters
latc2dir(K) All-Zero Lattice form to FIR Direct form Conversion
latcfilt(K,x) LATTICE form realization of FIR filters
lms(x,d,delta,N) LMS Algorithm for Coefficient Adjustment
mod(n,N)
mulaw_c(s,mu) mu-law compressor
mulaw_e(yq,B,mu) mu-law expander
ovrlpsav(x,h,N) Overlap-Save method of block convolution
par2dir(C,B,A); PARALLEL-to-DIRECT form conversion
parfiltr(C,B,A,x); PARALLEL form realization of IIR filters
pfe2rfz(R,P,C) Rational function from Partial Fraction Expansions in z-Domain
quantize(y,B) Quantize signal to B bits
rf2pfez(b,a); Partial Fraction Expansion from rational function in z-Domain
sdir2cas(b,a); DIRECT-form to CASCADE-form conversion in s-plane
sigadd(x1,n1,x2,n2)
sigfold(x,n)
sigmult(x1,n1,x2,n2)
sigshift(x,m,n0)
stepseq(n0,n1,n2)
u_buttap(N,Omegac); Unnormalized Butterworth Analog Lowpass Filter Prototype
u_chb1ap(N,Rp,Omegac); Unnormalized Chebyshev-1 Analog Lowpass Filter Prototype
u_chb2ap(N,As,Omegac); Unnormalized Chebyshev-2 Analog Lowpass Filter Prototype
u_elipap(N,Rp,As,Omegac); Unnormalized Elliptic Analog Lowpass Filter Prototype
zmapping(bZ,aZ,Nz,Dz) Frequency band Transformation from Z-domain to z-domain
ampresbl.m
ampresbr.m
ampreshm.m
ampreshn.m
ampreska.m
ampresrc.m
contents.m
errorfun.m
ex020100.m
ex020200.m
ex020300.m
ex020400.m
ex020500.m
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gen_zero.m
gibbs.m
pmintro.m
type1_ir.m
type2_ir.m
type3_ir.m
type4_ir.m
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from Digital Signal Processing Using MATLAB by John Proakis
Companion Software

ex040900.m
% Chapter 4: Example 4.8: % Check of residue functions rf2pfez and pfe2rfz % b = 1; a = poly([0.9,0.9,-0.9]) [R,p,c] = residuez(b,a)

Highlights from Digital Signal Processing Using MATLAB

Highlights from
Digital Signal Processing Using MATLAB