Arithmetic operations traditionally used fixed-point processing because it makes them less expensive. In integer and fixed-point arithmetic, multipliers are larger, slower and consume much more power than adders, which are often neglected in performance evaluation of DSP systems. In floating-point arithmetic that is not true and in this thesis we show that multipliers and adders are equally important. The thesis also emphasizes low power design. Some of the basic digital filter network structures, built with FP arithmetic units, are revisited to map their performance with different...
Arithmetic operations traditionally used fixed-point processing because it makes them less expensive. In integer and fixed-point arithmetic, multipl...
