Abstract
Multirate filter banks can be implemented efficiently using fast-convolution (FC) processing. The main advantage of the FC filter banks (FC-FB) compared with the conventional polyphase implementations is their increased flexibility, that is, the number of channels, their bandwidths, and the center frequencies can be independently selected. In this paper, an approach to optimize the FC-FBs is proposed. First, a subband representation of the FC-FB is derived. Then, the optimization problems are formulated with the aid of the subband model. Finally, these problems are conveniently solved with the aid of a general nonlinear optimization algorithm. Several examples are included to demonstrate the proposed overall design scheme as well as to illustrate the efficiency and the flexibility of the resulting FC-FB.
| Original language | English |
|---|---|
| Pages (from-to) | 101-111 |
| Journal | Journal of Signal Processing Systems |
| Volume | 85 |
| Issue number | 1 |
| DOIs | |
| Publication status | Published - Aug 2016 |
| Publication type | A1 Journal article-refereed |
Keywords
- Digital filters
- Filter banks
- Multirate signal processing
- Optimization
- Sampling rate conversion
Publication forum classification
- Publication forum level 1
ASJC Scopus subject areas
- Control and Systems Engineering
- Modelling and Simulation
- Hardware and Architecture
- Information Systems
- Signal Processing
- Theoretical Computer Science