Demystifying digital signal processing (DSP) programming: The ease in realizing implementations with TI DSPs
Introduced by Texas Instruments over thirty years ago, the digital signal processor (DSP) has evolved in its implementation from a standalone processor to a multicore processing element and has continued to extend in its range of applications. The breadth of software development tools for the DSP has also expanded to accommodate diverse sets of programmers. From small, low power, yet “smart” devices with applications such as voice and image recognition, to multicore, high-performance compute platforms performing real-time data analytics, the opportunities to achieve the low-power processing efficiencies of DSPs are nearly endless. The TI DSP has benefited from a relatively unique tool suite evolution making it easy and effective for the general programmer and the signal processing expert alike to quickly develop their application code. This paper addresses how TI DSP users are able to achieve the high performance afforded by the TI DSP architecture, in an efficient, easy-to-use development environment.
Summary
This TI white paper explains how digital signal processors (DSPs) have evolved and how TI’s toolchain and platform features make DSP programming accessible for a wide range of engineers. Readers will learn practical approaches to implementing DSP algorithms on TI hardware, including multicore and low-power use cases, and how software tools lower the barrier for general embedded programmers.
Key Takeaways
- Describe the architectural features of TI DSPs that simplify signal-processing implementations (multicore, data paths, and memory hierarchy).
- Apply TI development tools and libraries to accelerate common DSP tasks and reduce hand-optimized assembly work.
- Optimize DSP implementations for low power and real-time performance on single- and multicore platforms.
- Leverage example algorithms and toolchain workflows to move from algorithm prototype to production firmware.
Who Should Read This
Embedded firmware and signal-processing engineers (intermediate experience) who want to implement or port DSP algorithms to TI hardware for real-time, low-power, or IoT applications.
Still RelevantIntermediate
Topics
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