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Transforming Floating-Point Algorithms to Fixed-Point Implementations
Design Automation for Low-Power Embedded Hardware and Software Implementation of Digital Signal Processing Algorithms
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Many digital signal processing and communication§algorithms are first simulated using floating-point§arithmetic and are later transformed into fixed-point§arithmetic to reduce implementation§complexity. This transformation process may take§most of the design time for complex designs and may§involve a long series of manual ad-hoc design§choices. This book provides methods to find optimum§word lengths efficiently, implement low-power§fixed-point arithmetic by word length reduction§techniques, and automate the transformation process§from floating-point to fixed-point arithmetic. The§automation step provides a design tradeoff curve of§signal quality vs. implementation complexity for the§system, which allows the designer to pick any§operating point on the tradeoff curve. The book§should help in developing fixed-point hardware or§software implementations from floating-point§representations, and should be especially useful to§professionals who are developing high-speed or§low-power hardware or software.
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