Title :
A saturation analysis of error-spectrum shaping quantizers
Author :
Stacey, Newell D. ; Frost, Richard L. ; Ware, Gene A.
Author_Institution :
Dept. of Electr. & Comput. Eng., Brigham Young Univ., Provo, UT, USA
fDate :
2/1/1996 12:00:00 AM
Abstract :
Error spectrum shaping (ESS) quantizers are analyzed in the context of realistic FIR reconstruction filters and nonzero probability of saturation. Conditions for stable operation are derived, and a suboptimal but effective and computationally efficient design method is proposed. Excellent agreement is obtained between the analysis and simulations. Even under these more stringent constraints, ESS quantizers are shown to achieve significant signal-to-quantization-noise ratio (SQNR) gains when quantizing oversampled Gaussian sources
Keywords :
FIR filters; Gaussian processes; digital filters; error analysis; numerical stability; quantisation (signal); signal reconstruction; signal sampling; spectral analysis; design method; error-spectrum shaping quantizers; oversampled Gaussian sources; probability; realistic reconstruction filters; saturation analysis; signal-to-quantization-noise ratio; stable operation; Delta-sigma modulation; Electronic switching systems; Error analysis; Feedback; Finite impulse response filter; Frequency; IIR filters; Image reconstruction; Noise reduction; Noise shaping;
Journal_Title :
Communications, IEEE Transactions on
