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Efficient Hardware/Software Implementation of LPC Algorithm in Speech Coding Applications

机译:LPC算法在语音编码应用中的高效硬件/软件实现

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The LPC “Linear Predictive Coding” algorithm is a widely used technique for voice coder. In this paper we present different implementations of the LPC algorithm used in the majority of voice decoding standard. The windowing/autocorrelation bloc is implemented by three different versions on an FPGA Spartan 3. Allowing the possibility to integrate a Microblaze processor core a first solution consists of a pure software implementation of the LPC using this core RISC processor. Second solution is a pure hardware architecture implemented using VHDL based methodology starting from description until integration. Finally, the autocorrelation core is then proposed to be implemented using hardware/software (HW/SW) architecture with the existing processor. Each architecture performances are compared for different data lengths.
机译:LPC“线性预测编码”算法是语音编码器广泛使用的技术。在本文中,我们介绍了大多数语音解码标准中使用的LPC算法的不同实现。窗口/自相关块由FPGA Spartan 3上的三个不同版本实现。允许集成Microblaze处理器内核的可能性第一个解决方案包括使用该内核RISC处理器的LPC的纯软件实现。第二种解决方案是从描述到集成,使用基于VHDL的方法实现的纯硬件架构。最后,然后提出使用硬件/软件(HW / SW)体系结构和现有处理器来实现自相关核心。针对不同的数据长度比较每种架构的性能。

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