嵌入式DSP软件优化:策略与技术

R. Dasgupta
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引用次数: 2

摘要

DSP应用的特点是存在专用的DSP和运行在其上的特定嵌入式软件。随着DSP应用复杂性的快速增长,对数据密集型计算的要求越来越高。商业DSP产品中出现的诸如成本、上市时间、尺寸、功耗、延迟和吞吐量等多维要求进一步增加了DSP软件实现的挑战。因此,学习和应用最佳工程实践来编写和优化DSP程序变得非常必要。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Embedded DSP software optimization: Strategies and techniques
DSP applications are characterized by the presence of a dedicated DSP and specific embedded software that runs on it. As the complexity of DSP applications grow rapidly, great demands are placed to perform more and more data intensive computations. The multi-dimensional requirements that are emerging in commercial DSP products such as cost, time-to-market, size, power consumption, latency, and throughput, further increase the challenge of DSP software implementation. Therefore to learn and apply best engineering practices on how to write and optimize DSP program is becoming very much essential.
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