S. Weiss, M. Harteneck, and R. W. Stewart, "On implementation and design of filter banks for subband adaptive systems," Proc. IEEE Workshop on Signal Processing Systems (SiPS'98), pp.172-181, Cambridge, MA, October 1998. Home/Search Document Details and Download
Summary Related Articles Check |
This paper is cited in the following contexts:
Steady-State Performance Limitations of Subband.. - Weiss, Stenger.. (2001) (1 citation) Self-citation (Weiss Stewart) (Correct)
No context found.
S. Weiss, M. Harteneck, and R. W. Stewart, \On Implementation and Design of Filter Banks for Subband Adaptive Systems," in IEEE Workshop on Signal Processing Systems, Cambridge, MA, October 1998, pp. 172-181.
Measuring Performance Limits of Subband Adaptive Systems - Stenger, Rabenstein.. Self-citation (Wei Stewart) (Correct)
....cancelling application. The unknown system is a room impulse reponse with a length of 2000 coefficients, which has to be identified by an SAF system using a K = 32 band GDFT filter bank. For a number of different decimation ratios N , the filter banks were optimized for acoustic echo cancellers [7]. Tab. 1 compares the analytically calculated fullband MMSE (Sec. 2) with the measured values (Sec. 4) For the upper two rows in Tab. 1, MMSE predictions based on both analytic and measured methods are obtained with a white source model (s. m. while for the next two a spectral model of the room ....
S. Weiß, M. Harteneck, and R. W. Stewart. "On Implementation and Design of Filter Banks for Subband Adaptive Systems". In IEEE Workshop on Signal Processing Systems (SiPS'98), Cambridge, MA, October 1998.
Performance Limitations Of Subband Adaptive Filters - Weiss, Stewart, al. (1998) (1 citation) Self-citation (Stewart) (Correct)
.... synthesis filters g k [n] can be obtained by time reversion and complex conjugation of the analysis filters, i.e. g k [n] h k [n] h k [L p Gamman 1] The modulation approach allows for both low memory consumption for storing filter coefficients and an efficient polyphase implementation [7]. 2.2 Prototype Design Through the above modulation, the filter bank design reduces to an appropriate choice of the prototype filter, which has to fulfill two criteria. Firstly, the filters attenuation in the stopband ranging from [ N ; as indicated in Fig. 3, has to be sufficiently large. ....
.... enough to sufficiently suppress aliasing, this condition reduces to the consideration of inaccuracies in power complementarity [6] K Gamma1 X k=0 jH k (e j Omega )j 2 = 1: 2) A prototype filter approximating these constraints can be constructed by an iterative least squares method [7]. 3 PERFORMANCE LIMITATIONS In this section, we derive limitations in adaptation assuming that the only disturbance originates from the filter banks employed for the subband decomposition. First, we look at the achievable error PSD and the mean squared error (MSE) term, E Phi e 2 [n] Psi ....
[Article contains additional citation context not shown here]
S. Weiß, M. Harteneck, and R. Stewart. "On Implementation and Design of Filter Banks for Subband Adaptive Filter Systems". In IEE Colloq. Digital Filters: an Enabling Technology, London, April 1998.
A Lower Error Bound for Oversampled Subband Adaptive.. - Weiß, Stenger.. (1998) Self-citation (Stewart) (Correct)
....and state the fullband MMSE. 3. SIMULATIONS AND RESULTS We perform identification of a recursive system s[n] with two dominant poles in a setup as shown in Fig. 1 using an SAF system with K=2 = 8 complex valued subbands decimated by N = 14; the remaining K=2 subbands are redundant to process [4]. With an NLMS algorithm and strongly coloured input signal, Fig. 3(a) shows the PSDs of the desired signal d[n] and the final error e[n] after almost complete adaptation. In Fig. 3(b) the latter is overlaid on the predicted lower limit of the error PSD from (4) Apart from deviations due to ....
WEISS, S., HARTENECK, M., and STEWART, R. W.: `On Implementation and Design of Filter Banks for Subband Adaptive Systems', to be pres. IEEE Workshop Signal Process. Systems, 1998, Cambridge, MA.
Image Denoising Using Adaptive Subband Decomposition - Gezici, Yilmaz, Gerek.. (2001) (Correct)
No context found.
S. Weiss, M. Harteneck, and R. W. Stewart, "On implementation and design of filter banks for subband adaptive systems," Proc. IEEE Workshop on Signal Processing Systems (SiPS'98), pp.172-181, Cambridge, MA, October 1998.
Online articles have much greater impact More about CiteSeer.IST Add search form to your site Submit documents Feedback
CiteSeer.IST - Copyright Penn State and NEC