Title
A Perturbation Theory On Statistical Quantization Effects In Fixed-Point Dsp With Non-Stationary Inputs
Abstract
A quantitative characterization of statistical quantization effects in a discrete-time digital system is derived as a function of fixed-point data types. The analysis is based on a perturbation theory approach which assumes the quantization noise is a small deviation from the ideal characteristics and that the system does not contain decision-error propagation. The theory works for both linear and nonlinear digital systems with either stationary or non-stationary inputs. The approach is applied to an LMS adaptive filter in both the transient and steady state periods.
Year
DOI
Venue
2004
10.1109/ISCAS.2004.1328761
2004 IEEE INTERNATIONAL SYMPOSIUM ON CIRCUITS AND SYSTEMS, VOL 3, PROCEEDINGS
Keywords
Field
DocType
adaptive filter,steady state,data type,signal processing,error propagation,adaptive filters,finite impulse response filter,nonlinear systems,quantization noise,digital signal processing,statistical distributions,fixed point,quantization,discrete time,arithmetic,perturbation theory,noise,fixed point arithmetic,least squares approximation
Signal processing,Digital signal processing,Nonlinear system,Fixed-point arithmetic,Perturbation theory,Control theory,Electronic engineering,Probability distribution,Adaptive filter,Quantization (signal processing),Mathematics
Conference
Citations 
PageRank 
References 
17
1.33
3
Authors
2
Name
Order
Citations
PageRank
Changchun Shi1604.96
Robert W. Brodersen21857401.31