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Audio Signal Processing and Coding
book

Audio Signal Processing and Coding

by Andreas Spanias, Ted Painter, Venkatraman Atti
February 2007
Intermediate to advanced
464 pages
14h 40m
English
Wiley-Interscience
Content preview from Audio Signal Processing and Coding

PROBLEMS

8.1. In this problem, we will show that STFT can be interpreted as a bank of subband filters. Given the STFT, X(n, Ωk), of the input signal, x(n),

image

where w(n) is the sliding analysis window. Give a filter-bank realization of the STFT for a discrete frequency variable Ωk = k(ΔΩ), k = 0, 1, … , 7 (i.e., 8 bands). Choose ΔΩ such that the speech band (20–4000 Hz) is covered. Assume that the frequencies, Ωk, are uniformly spaced.

8.2. The mother wavelet function, ξ(t), is given in Figure 8.13. Determine and sketch carefully the wavelet basis functions, ξυ,τ(t), for υ = 0, 1, 2 and τ = 0, 1, 2 associated with ξ(t),

image

where υ and τ denote the dilation (frequency scaling) and translation (time shift) indices, respectively.

8.3. Let image and image. Compute the scaling and wavelet functions, ϕ(t) and ξ(t). Using ξ(t) as the mother wavelet and generate the wavelet basis functions, ξ0,0(t), ξ0,1(t), ξ1,0(t), and ξ1,1(t).

image

Figure 8.13. An example wavelet function.

Hint: From the DWT theory, the Fourier ...

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Publisher Resources

ISBN: 9780471791478Purchase book