Title :
Quantization and roundoff noises in fixed-point FIR digital filters
Author_Institution :
Dept. of Electr. & Comput. Eng., Clarkson Univ., Potsdam, NY, USA
fDate :
7/1/1991 12:00:00 AM
Abstract :
The errors in a fixed-point finite impulse response (FIR) filter due to quantization (analog-to-digital conversion) and roundoff are considered. Expressions for the exact moments of the filter output noise are derived. It is well known that, when the input signal satisfies certain conditions, the popular additive white noise model can be valid in describing the quantization noise. The characteristics of multiplicative roundoff noises, however, differ from what this model predicts, even under conditions where the roundoff noises are white. Hence the additive white noise model does not provide accurate results on the characteristics of the output error in an FIR filter. Using the exact formulas for the moments, the author computes the exact power spectrum of the filter output error. These results agree well with those obtained from simulation
Keywords :
analogue-digital conversion; digital filters; filtering and prediction theory; roundoff errors; white noise; (analog-to-digital conversion; ADC; additive white noise model; exact formulas; exact power spectrum; filter output error; filter output noise; fixed-point FIR digital filters; input signal; multiplicative roundoff noises; quantisation noise; simulation; Additive white noise; Digital arithmetic; Digital filters; Error analysis; Finite impulse response filter; Power system modeling; Quantization; Roundoff errors; Signal processing; Sufficient conditions;
Journal_Title :
Signal Processing, IEEE Transactions on