New algorithm of bionic wavelet transform to DSP-implementation for cochlear implant

The use of the real auditory model in cochlear implant sound processing strategies aims to improve cochlear implant users' perception of speech. Bionic wavelet transforms (BWT), which developed based on a model of the active auditory system, is a biomodel-based adaptive time-frequency analysis technique. As we noted in [1], the BWT have almost the same form as the WT but with a feedback phase in the process of the reformulation of the T-function in order to obtain the bionic mother wavelet. Therefore, the T-function building and adjust the mother wavelet Classic to be Bionic pose a significant problem. In fact, due to its activity and its exponential form, it is difficult to realize a DSP implementation of the bionic mother wavelet. To solve this problem, this paper introduces a new implementation algorithm for the BWT. In addition, it describes a DSP implementation of the new BWT based strategy using a 720MHz TMS320C6416 DSP board.