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.