Abstract: In Digital Signal Processing (DSP) systems, filter banks are an integral part of many audio signal processing algorithms. In digital hearing aid applications, multi-channel dynamic range compression is used to perform acoustic echo cancellation and speech enhancement is achieved using noise reduction algorithms. The design of filter bank has significant impact on the performance of DSP systems in terms of complexity, delay and quality of the signal. This study provides a comprehensive survey on various filter bank algorithms and also presents a detailed performance analysis of those algorithms. This study also discusses the parameters involved in selecting the best filter bank for processing the audio signal in signal processing applications. Various parameters to design a filter bank for digital hearing aids are: noise, delay and power. This study, describes the basics of DSP algorithms including the design of digital filter banks. It also briefly summarizes the filter bank design algorithms and techniques available in the literature. Most of the filter banks and algorithms have been implemented on FPGA and evaluated. This study also provides the various hardware implementations of filter bank designs on FPGA for the hearing aid applications.
N. Subbulakshmi and R. Manimegalai, 2017. A Comprehensive Survey on Filter Bank Designs for Digital Hearing Aids. Asian Journal of Information Technology, 16: 190-199.