Non-uniform filterbank bandwidth allocation for system modeling subband adaptive filters

Griesbach, J.D.; Bose, T.; Etter, D.M.

doi:10.1109/icassp.1999.756261

Cited by 14 publications

(4 citation statements)

References 12 publications

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“…The oversampled filter bank approach can also admit services with different data rates and latency requirements by bonding sub-channels based on partioned or constituent filter banks [26].…”

Section: A Filter Bank Based Transceiversmentioning

confidence: 99%

Evaluation of narrowband power line communications on a smart grid testbed

Crolla

Tonello

Weiss

et al. 2011

2011 2nd IEEE PES International Conference and Exhibition on Innovative Smart Grid Technologies

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Power line communications (PLC) has been popularly used for in-home networking in the broadband case, where a number of useful channel models exist. For narrowband PLC applicable to longer distances and smart grid communications, few measurement campaigns and channel models exist. In this paper, we aim to report on an anticipated measurement campaign, and its impact both on the construction of a suitable channel model as well as its application to a filter-bank based transmultiplexer, which can be optimally adjusted based on parameters informed by such channel measurements

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Section: A Filter Bank Based Transceiversmentioning

confidence: 99%

Evaluation of narrowband power line communications on a smart grid testbed

Crolla

Tonello

Weiss

et al. 2011

2011 2nd IEEE PES International Conference and Exhibition on Innovative Smart Grid Technologies

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“…Results in [6] and [7] have indicated that nonuniform subband adaptive filters may give increased performance over their uniform counterparts. Nonuniform subband adaptive filters offer extra degrees of freedom over their uniform subband adaptive filters by allowing the subband filters to have independent, variable bandwidths.…”

Section: Introductionmentioning

confidence: 96%

“…Furthermore, the subband decimation factors need not be equal. By allowing the decimation factors, and analysis/synthesis filters to change, the nonuniform subband adaptive filter can adaptively modify the subband bandwidths in real-time [7], [8] to best minimize the overall fullband MSE. This analysis estimates the overall fullband MSE after convergence given a particular nonuniform filterbank.…”

Section: Introductionmentioning

confidence: 99%

Mean square error analysis of nonuniform subband adaptive filters for system modeling

Griesbach

Lightner²,

Etter³

2005

IEEE Trans. Signal Process.

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Nonuniform filterbanks have recently been proposed for subband adaptive filters (SAFs). However, nonuniform SAFs have not yet been given a thorough performance analysis. This paper gives a comprehensive mean square error (MSE) analysis of system modeling, nonuniform (and, degeneratively, uniform) SAFs after convergence for a specified filterbank. Using the equivalent polyphase representation suggested by Ono et al., minimum MSE (MMSE) estimates for the individual subband errors are presented with respect to a given filterbank for finite length (FIR), infinite length causal (IIR), and infinite noncausal adaptive filters. Using these subband MMSE estimators, an MMSE estimator is derived for the overall fullband error. Finally, the derived MMSE estimators are verified by a numerical simulation. The intent of this paper is not to compare nonuniform and uniform SAF performance but merely to present a unified mathematical methodology to predict their MMSEs.

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“…Previous work in [4] [5] has been extended in this paper by introducing a filterbank structure appropriate for efficient NDS and examining the exact sources of error in uniform SAFs. These are crucial issues, as no suitable dynamic structure has been previously suggested and if complexity is not taken into account, improvements in performance cannot be evaluated consistently.…”

Section: Introductionmentioning

confidence: 99%

Dynamic structures for non-uniform subband adaptive filtering

Oakman

Naylor²

2001 IEEE International Conference on Acoustics, Speech, and Signal Processing. Proceedings (Cat. No.01CH37221)

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Subband adaptive filters suffer degraded performance when high input energy occurs at frequencies coincident with subband boundaries. This is seen as increased error in critically sampled systems and as reduced asymptotic convergence speed in oversampled systems. To address this problem a dynamic frequency decomposition scheme is presented which aims to control the frequency of subband boundaries such that they avoid spectral regions of high input energy. An efficient structure for this is described, which maintains the low complexity advantage of subband systems. Simulation results show reductions in MSE of around 5-lOdBs in the critical case and convergence improvement in the oversampled case, in addition to increased robustness to coloured inputs in both cases.

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Non-uniform filterbank bandwidth allocation for system modeling subband adaptive filters

Cited by 14 publications

References 12 publications

Evaluation of narrowband power line communications on a smart grid testbed

Evaluation of narrowband power line communications on a smart grid testbed

Mean square error analysis of nonuniform subband adaptive filters for system modeling

Dynamic structures for non-uniform subband adaptive filtering

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