Descripción
|
|
---|---|
Systems based on fixed-point arithmetic, when carefully designed, seem to behave as theirinfinite precision analogues. Most often, however, this is only a macroscopic impression: finiteword-lengths inevitably approximate the reference behavior introducing quantization errors, andconfine the macroscopic correspondence to a restricted range of input values. Understandingthese differences is crucial to design optimized fixed-point implementations that will behave ?asexpected? upon deployment. Thus, in this chapter, we survey the main approaches proposed inliterature to model the impact of finite precision in fixed-point systems. In particular, we focus onthe rounding errors introduced after reducing the number of least-significant bits in signals andcoefficients during the so-called quantization process. | |
Internacional
|
Si |
DOI
|
1007/978-3-319-91734-4_29?. |
Edición del Libro
|
|
Editorial del Libro
|
Springer |
ISBN
|
978-3-319-91733-7 |
Serie
|
|
Título del Libro
|
Handbook of Signal Processing Systems |
Desde página
|
1063 |
Hasta página
|
1101 |