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Bridge the Gap in Fixed-Point Signal Processing

Are you looking to enhance your understanding of fixed-point signal processing? This comprehensive book is designed to fill the critical gap between the ideal precision taught in digital signal processing (DSP) courses and the practical, limited precision implementation skills required in fixed-point processors and field programmable gate arrays (FPGAs). Ideal for both DSP elective courses and practicing engineers, this resource provides a thorough review of essential concepts and techniques.

Key Features and Benefits

Comprehensive Coverage: Starting with a review of basic DSP theory and random processes, the book delves into the binary arithmetic and fractional formats crucial for fixed-point processors. It also addresses the noise model for quantization error and its impact on filters, particularly IIR filters.

• Learn the fundamentals of fixed-point arithmetic and quantization.
• Understand the effects of quantization error on filter performance.

Practical Application: The book is packed with exercises and answers, allowing you to test your understanding and apply the principles in real-world scenarios.

• Develop practical skills for fixed-point implementation.
• Gain insights into handling limited precision in signal processing.

Target Audience and Use Cases

Whether you are an undergraduate student or a practicing engineer, this book is an invaluable resource. It serves as an excellent companion for DSP elective courses, providing a solid foundation in fixed-point signal processing. For professionals, it offers practical knowledge and techniques to improve the efficiency and performance of fixed-point processors and FPGAs.

• Undergraduates seeking a deeper understanding of DSP.
• Engineers working with fixed-point processors and FPGAs.

With its clear explanations, hands-on exercises, and practical focus, this book is your go-to guide for mastering fixed-point signal processing.