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Implementation of the Development of a Filtering Algorithm to Improve the System of Hearing in Hearing Impaired with Cochlear Implant

机译:改进人工耳蜗植入助听器听力系统过滤算法开发的实现

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In this paper, we present the implemented denoising section in the coding strategy of cochlear implants, the technique used is the technique of wavelet bionic BWT (Bionic Wavelet Transform). We have implemented the algorithm for denoising Raise the speech signal by the hybrid method BWT in the FPGA (Field Programmable Gate Array), Xilinx (Virtex5 XC5VLX110T). In our study, we considered the following: at the beginning, we present how to demonstrate features of this technique. We present an algorithm implementation we proposed, we present simulation results and the performance of this technique in terms of improvement of the SNR (Signal to Noise Ratio). The proposed implementations are realized in VHDL (Very high speed integrated circuits Hardware Description Language). Different algorithms for speech processing, including CIS (Continuous Interleaved Sampling) have been implemented the strategy in this processor and tested successfully.
机译:在本文中,我们介绍了人工耳蜗的编码策略中已实现的去噪部分,所使用的技术是小波仿生BWT(Bionic Wavelet Transform)技术。我们已经在FPGA(现场可编程门阵列)Xilinx(Virtex5 XC5VLX110T)中实现了通过混合方法BWT对语音信号进行降噪的算法。在我们的研究中,我们考虑了以下几点:在开始时,我们介绍了如何演示此技术的功能。我们提出了一种我们提出的算法实现方式,并根据SNR(信噪比)的改善提出了仿真结果和该技术的性能。所提出的实现以VHDL(超高速集成电路硬件描述语言)实现。在该处理器中,该策略已实现了用于语音处理的不同算法,包括CIS(连续交错采样),并已成功测试。

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