Title :
H2 Optimal Signal Predictive Quantization in Oversampled FBs
Author :
Li, Shenpeng ; Zhang, Jingxin ; Zhang, Cishen
Author_Institution :
Monash Univ., Melbourne
Abstract :
This paper is concerned with the design of signal predictor in oversampled signal predictive subband coding. Spectral analysis of the prediction error system is used to derive an H2 optimization formulation of the design problem, and an LMI based method is obtained to design the H2 optimal signal predictor that minimizes the variance of quantizer input signals. Simulation examples are presented to demonstrate the obtained design method.
Keywords :
Hinfin control; Hinfin optimisation; codes; linear matrix inequalities; quantisation (signal); signal sampling; spectral analysis; transient response; H2 optimal signal predictive quantization; LMI; impulse response; optimization; oversampled FB; spectral analysis; subband coding; Adaptive filters; Control systems; Degradation; Fading; Information filtering; Information filters; Nonlinear equations; Nonlinear systems; Stability analysis; Stochastic systems;
Conference_Titel :
Control Applications, 2007. CCA 2007. IEEE International Conference on
Conference_Location :
Singapore
Print_ISBN :
978-1-4244-0442-1
Electronic_ISBN :
978-1-4244-0443-8
DOI :
10.1109/CCA.2007.4389363
