Multirate Systems and Filter Banks
During the last two decades, multirate filter banks have found various applications in many different areas, such as speech coding, scrambling, adaptive signal processing, image compression, signal and image processing applications as well as transmission of several signals through the same channel. The main idea of using multirate filter banks is the ability of the system to separate in the frequency domain the signal under consideration into two or more signals or to compose two or more different signals into a single signal.
Summary
This paper surveys multirate filter-bank theory and practical design methods, emphasizing how multirate systems separate and recombine signals in frequency for efficient processing. Readers will gain insight into analysis/synthesis structures, polyphase implementations, and typical applications in audio, speech, image compression and communications.
Key Takeaways
- Understand polyphase decomposition and how it reduces computational cost in multirate implementations.
- Design analysis and synthesis filters to achieve (near) perfect reconstruction and control aliasing.
- Implement critically sampled and oversampled filter banks and sampling-rate converters for practical systems.
- Apply multirate filter-bank techniques to subband coding, speech/audio compression, image coding, and multiplexing in communications.
Who Should Read This
Advanced DSP engineers, graduate students, and researchers working on audio/speech, image, or communications systems who need both theoretical background and practical guidance on multirate filter-bank design.
TimelessAdvanced
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