Abstract:Adaptive filtering in sub-bands, that is adapting several short filters in parallel on sub-sampled frequency subbands, is an attractive alternative to implement a long adaptive FIR filter, this both for computational efficiency and for faster convergence. The sub-sampling process introduces aliased versions of the original signals; it is shown how to annihilate these by adequate adaptive cross-terms. The computational complexity is improved nearly proportionally to the number of sub-bands, and the convergence … Show more
“…We evaluate the feasibility of these positions below. (21). Therefore, the residual echo signal properties remain unchanged, and a tonal component appears around Obviously, the spectrum of the loudspeaker signal is rejected around the notch, and the echo signal around this frequency cannot be predicted and, hence, cancelled.…”
Section: Letmentioning
confidence: 99%
“…For aliasing cancellation in cascaded MRAB and MRSB [22], we use (17) Using (1) and (2) in (8), we have det (18) and, thus, (19), shown at the bottom of the page, where If we ignore the off-diagonal terms in (19) (no CRCI) and use (18), we have (20) In order to gain more insight into (20), we evaluate it on the unit circle and write (21) When is a highly selective lowpass prototype PS-IIR filter such as shown in Fig. 2, is nonzero over a very narrow bandwidth around Furthermore, has a real impulse response:…”
Section: A Ps-iir Multirate Filter Banksmentioning
confidence: 99%
“…First, the subband signals are aliased, which limits the echo cancellation performance [20] and second, the multirate analysis banks (MRAB's) and the multirate synthesis banks (MRSB's) introduce extra delay and computational complexity. Cross-adaptive filtering was proposed by Gilloire and Vetterli [21] in order to solve the interband aliasing problem. They performed a study of the generic critically sampled two-band AEC unit with finite impulse response (FIR) MRAB and MRSB and demonstrated the necessity of performing cross-channel identification (CRCI) [5].…”
Abstract-The residual echo signal characteristics of critically sampled subband acoustic echo cancellers are analyzed. For finite impulse response (FIR) filter banks, the residual echo signal usually has a relatively broad spectral nature around the subband edges. The residual echo signal of power symmetric infinite impulse response (PS-IIR) filter banks, on the other hand, has very narrowband spectral components around the subband edges. These components can be efficiently removed with PS-IIR notch filters that integrate neatly into the filter banks without introducing perceptually noticeable degradation to the near-end speech. This solution has very low computational complexity and does not impinge on the system performance. Simulation studies with recordings from the cockpit of a car, based on a fast QR least-squares adaptive algorithm, demonstrate the potential of this approach for a practical AEC system.
“…We evaluate the feasibility of these positions below. (21). Therefore, the residual echo signal properties remain unchanged, and a tonal component appears around Obviously, the spectrum of the loudspeaker signal is rejected around the notch, and the echo signal around this frequency cannot be predicted and, hence, cancelled.…”
Section: Letmentioning
confidence: 99%
“…For aliasing cancellation in cascaded MRAB and MRSB [22], we use (17) Using (1) and (2) in (8), we have det (18) and, thus, (19), shown at the bottom of the page, where If we ignore the off-diagonal terms in (19) (no CRCI) and use (18), we have (20) In order to gain more insight into (20), we evaluate it on the unit circle and write (21) When is a highly selective lowpass prototype PS-IIR filter such as shown in Fig. 2, is nonzero over a very narrow bandwidth around Furthermore, has a real impulse response:…”
Section: A Ps-iir Multirate Filter Banksmentioning
confidence: 99%
“…First, the subband signals are aliased, which limits the echo cancellation performance [20] and second, the multirate analysis banks (MRAB's) and the multirate synthesis banks (MRSB's) introduce extra delay and computational complexity. Cross-adaptive filtering was proposed by Gilloire and Vetterli [21] in order to solve the interband aliasing problem. They performed a study of the generic critically sampled two-band AEC unit with finite impulse response (FIR) MRAB and MRSB and demonstrated the necessity of performing cross-channel identification (CRCI) [5].…”
Abstract-The residual echo signal characteristics of critically sampled subband acoustic echo cancellers are analyzed. For finite impulse response (FIR) filter banks, the residual echo signal usually has a relatively broad spectral nature around the subband edges. The residual echo signal of power symmetric infinite impulse response (PS-IIR) filter banks, on the other hand, has very narrowband spectral components around the subband edges. These components can be efficiently removed with PS-IIR notch filters that integrate neatly into the filter banks without introducing perceptually noticeable degradation to the near-end speech. This solution has very low computational complexity and does not impinge on the system performance. Simulation studies with recordings from the cockpit of a car, based on a fast QR least-squares adaptive algorithm, demonstrate the potential of this approach for a practical AEC system.
“…In subband adaptive filtering, adaptive filters are applied in each of frequency subbands [1], [2]. Here we consider adaptive filters based on the least mean squares (LMS) algorithm [3], [4].…”
mentioning
confidence: 99%
“…These include 1) noncritical subsampling [9], [10] in which the sample rate is reduced by less than the critical factor; 2) the application of cross-adaptive filters [1] between the subbands to explicitly filter the aliasing components; 3) overbandlimiting the signal in each subband so that energy nulls are created in the spectrum at frequencies where aliasing would otherwise be generated [11]. All three proposed methods of solution carry penalties as reported in [2]; 1) has an increased computational cost, 2) has been found to have problematic convergence speed, and 3) causes spectral distortions.…”
Abstract-Adaptive filtering in subbands is an attractive alternative to full-band schemes in many applications because of the potential for faster convergence and lower computational cost. However, the analysis of a signal into a subband representation and the synthesis back into its original full-band form carries three main penalties. These are that 1) the subsampling process often introduces aliasing, 2) the subband analysis and synthesis processes carry a computational overhead, thereby reducing the gain in efficiency, and 3) the subband analysis and synthesis processes introduce delay into the signal path. In this paper, a subband scheme is presented that aims to minimize these penalties, thereby allowing the potential advantages of the subband approach to be more fully realized. The scheme is based on infinite impulse response (IIR) filterbanks, formed from allpass polyphase filters, which exhibit very high quality filtering compared to typical finite impulse response (FIR) implementations, have relatively low complexity, introduce a limited degree of phase distortion and have low delay. The scheme, in conjunction with normalized least mean squares (NLMS) adaptive filters, is tested in an acoustic echo control application and shown to give better convergence, lower delay, and lower computational cost than a comparable FIR subband scheme.
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