Synthesis and Optimization of DSP Algorithms

• Κύριοι συγγραφείς: Constantinides, George A. (Συγγραφέας), Cheung, Peter Y. K. (Συγγραφέας), Luk, Wayne (Συγγραφέας)
• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: Boston, MA : Springer US, 2004.
• Θέματα: Engineering.; Microprocessors.; Computer programming.; Computers.; Computer-aided engineering.; Electrical engineering.; Electronic circuits.; Communications Engineering, Networks.; Programming Techniques.; Circuits and Systems.; Computer-Aided Engineering (CAD, CAE) and Design.; Processor Architectures.; Theory of Computation.

 Synthesis and Optimization of DSP Algorithms describes approaches taken to synthesising structural hardware descriptions of digital circuits from high-level descriptions of Digital Signal Processing (DSP) algorithms. The book contains: -A tutorial on the subjects of digital design and architectural synthesis, intended for DSP engineers, -A tutorial on the subject of DSP, intended for digital designers, -A discussion of techniques for estimating the peak values likely to occur in a DSP system, thus enabling an appropriate signal scaling. Analytic techniques, simulation techniques, and hybrids are discussed. The applicability of different analytic approaches to different types of DSP design is covered, -The development of techniques to optimise the precision requirements of a DSP algorithm, aiming for efficient implementation in a custom parallel processor. The idea is to trade-off numerical accuracy for area or power-consumption advantages. Again, both analytic and simulation techniques for estimating numerical accuracy are described and contrasted. Optimum and heuristic approaches to precision optimisation are discussed, -A discussion of the importance of the scheduling, allocation, and binding problems, and development of techniques to automate these processes with reference to a precision-optimized algorithm, -Future perspectives for synthesis and optimization of DSP algorithms. 

 Background -- Peak Value Estimation -- Word-Length Optimization -- Saturation Arithmetic -- Scheduling and Resource Binding -- Conclusion.