Transforming Floating-Point Algorithms to Fixed-Point Implementations

Many digital signal processing and communicationalgorithms are first simulated using floating-pointarithmetic and are later transformed into fixed-pointarithmetic to reduce implementationcomplexity. This transformation process may takemost of the design time for complex designs and mayinvolve a long series of manual ad-hoc designchoices. This book provides methods to find optimumword lengths efficiently implement low-powerfixed-point arithmetic by word length reductiontechniques and automate the transformation processfrom floating-point to fixed-point arithmetic. Theautomation step provides a design tradeoff curve ofsignal quality vs. implementation complexity for thesystem which allows the designer to pick anyoperating point on the tradeoff curve. The bookshould help in developing fixed-point hardware orsoftware implementations from floating-pointrepresentations and should be especially useful toprofessionals who are developing high-speed orlow-power hardware or software.