Performance Degradation of a Subband Adaptive Digital Filter with Critical Sampling (Special Section of Papers Selected from the 8th Digital Signal Processing Symymposium)
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A method for evaluating the degradation of subband adaptive digital filters (ADF) is presented. The performance of a simple ADF that uses critical sampling is mainly influenced by the subband filter bank's characteristics and the finite precision arithmetic operations used. This paper considers a two-channel mirror filter bank and a normalized least mean square algorithm with floating point arithmetic. The theoretical ERLE (Echo Return Loss Enhancement) and the theoretical relationships between the output error of the ADF and the circuit parameters considering finite precision A/D conversion and finite word length effects in floating point arithmetic operation are obtained using an equivalent noise model. Simulation results are found to be in good agreement to analytical values; the difference is only 3 to 5 dB.
- 社団法人電子情報通信学会の論文
- 1994-09-25
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関連論文
- Performance Degradation of a Subband Adaptive Digital Filter with Critical Sampling (Special Section of Papers Selected from the 8th Digital Signal Processing Symymposium)
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