A survey of filter bank algorithms for biomedical applications

The Digital signal processing algorithms are promising techniques, which are used to alleviate the filter bank designs in various applications. Filter bank is an enabling technique for numerous capabilities such as speech coding, Noise reduction, Sub band coding and auditory compensation. The design procedure mainly concentrates on the core part of the system which is the type of the filter. However, it imposes several solutions to many problems high computation complexity, area and power consumption are most critical concern. In digital hearing aid application, the filter bank improves the sound ability for hearing-impaired people. The scope of this work is to give an overview of the filter bank algorithms under various traits and the challenges that they face, along with the current state-of-the-art. To enhance the feasibility of the design by applying the characteristics of the filter banks for suitable applications. This paper covers wide range of issues in the design of filter bank. The contribution of this paper is threefold. First, we show the functional role of filter bank. Second, the classifications of filter bank algorithms for the hearing instruments. Third, merits, demerits and further design challenges of the filter banks are discussed.