Summary

Chapter 1 introduces core principles for implementing digital signal processing algorithms under real-time constraints. It surveys system-level considerations — latency and throughput budgeting, hardware choices (DSPs, FPGAs, microcontrollers), and numerical issues such as fixed-point scaling — that guide practical deployment in audio, radar, and communications applications.

Key Takeaways

• Identify real-time constraints (latency, throughput, jitter) and translate them into algorithm and system requirements.
• Compare hardware options (general-purpose CPUs, DSP cores, FPGAs, and microcontrollers) and choose the appropriate platform for an application.
• Quantify and budget end-to-end latency and processing throughput for real-time pipelines.
• Apply fixed-point arithmetic principles and scaling strategies to preserve numerical stability and dynamic range on embedded targets.
• Design basic real-time processing pipelines, including buffer management, DMA/interrupt strategies, and I/O considerations.

Who Should Read This

Embedded systems engineers, DSP practitioners, and graduate students with basic DSP background who need to implement algorithms in real-time on hardware.

Still RelevantIntermediate

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