Techniques for Optimizing DSP Applications

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Techniques for Optimizing DSP Applications [Copy link]

Digital Signal Processing (DSP) is a specialized method of processing signals and data with the goal of enhancing and modifying these signals. Digital signal processing is also used to analyze signals to determine specific information content. DSP is primarily used to process real-world signals. These signals can be transformed and represented by digital sequences. We then process the signal using mathematical methods to extract specific information from it or transform it in some way.

　　DSPs are very common in real-time embedded systems where timeliness of computation is as important as accuracy. DSPs are common in these environments because they are designed to perform common signal processing operations very quickly. The programmability of DSPs allows applications to evolve over time, providing many advantages to application vendors. DSP programming requires familiarity with the application, the DSP hardware architecture, and the code generation tools used to write efficient real-time software that meets system deadlines.

　　This article, the first of two, will explore some important software and system optimization techniques for DSPs and explain some guidelines for developing efficient embedded applications using powerful processors.

紫色宇宙

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