使用软微处理器实现DSP操作的性能:基于Nios II的案例研究

Aleieldin Shamseldin, Hassan Soubra, Reham H. Elnabawy
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引用次数: 2

摘要

数字信号处理器是微处理单元,专门设计用于在优化性能的同时对信号进行操作。软核处理器完全使用硬件描述语言实现,并使用现场可编程门阵列中可用的可编程逻辑资源进行合成。本文的目标是测量软核处理器执行数字信号处理算法的能力。本文介绍了一些信号处理操作在Nios II软核精简指令集计算机处理器上的实现。然后通过确保功能的正确执行并根据德州仪器的TMS320DM64x+ DSP对这些操作的性能进行评估。
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Performance of DSP operations implemented using a soft microprocessor: a case study based on Nios II
Digital Signal Processors are microprocessing units specially designed for performing operations on signals while optimizing performance. Soft-core processors are fully implemented using a hardware description language and are synthesized using the programmable logic resources available in a Field Programmable Gate Array.The objective addressed in this paper is measuring the ability of soft-core processors in performing digital signal processing algorithms. This paper presents the implementation of some signal processing operations in the Nios II soft-core Reduced Instruction Set Computer based processor. The performance of these operations is then evaluated by ensuring proper execution of functions and benchmarked against the TMS320DM64x+ DSP by Texas Instruments.
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