A Lower Error Bound for Oversampled Subband
نویسندگان
چکیده
In this letter, we evaluate error performance limitations in oversampled subband adaptive lter applications based on an analysis of aliasing in the subband signals. The power spectral density of the minimum error signal is given by the aliased signal components. The presented analysis closely agrees with simulation results.
منابع مشابه
A Lower Error Bound for Oversampled Subband Adaptive Filters
In this letter, we evaluate error performance limitations in oversampled subband adaptive lter applications based on an analysis of aliasing in the subband signals. The power spectral density of the minimum error signal is given by the aliased signal components. The presented analysis closely agrees with simulation results.
متن کاملDynamic structures for non-uniform subband adaptive filtering
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 boundari...
متن کاملOversampled filter banks: optimal noise shaping, design freedom, and noise analysis
We show that oversampled filter banks FBs) offer more design freedom and less noise sensitivity t 6 an critically sampled FBs. We provide a parameterization of all synthesis FBs satisfyin perfect reconstruction for a given oversampled analysis FE, and we derive bounds and expressions for the variance of the reconstruction error due to noisy subband signals. Finally, we introduce noise shaping i...
متن کاملOversampled Filter Banks : Optimal Noise Shaping
|We show that oversampled lter banks (FBs) offer more design freedom and less noise sensitivity than critically sampled FBs. We provide a parameterization of all synthesis FBs satisfying perfect reconstruction for a given oversampled analysis FB, and we derive bounds and expressions for the variance of the reconstruction error due to noisy subband signals. Finally, we introduce noise shaping in...
متن کاملNoise reduction in oversampled filter banks using predictive quantization
We introduce two methods for quantization noise reduction in oversampled filter banks. These methods are based on predictive quantization (noise shaping or linear prediction). It is demonstrated that oversampled noise shaping or linear predictive subband coders are well suited for subband coding applications where, for technological or other reasons, low-resolution quantizers have to be used. I...
متن کامل