Title : 
Achieving the Gaussian Rate–Distortion Function by Prediction
         
        
            Author : 
Zamir, Ram ; Kochman, Yuval ; Erez, Uri
         
        
            Author_Institution : 
Dept. Electr. Eng.-Syst., Tel-Aviv Univ., Ramat-Aviv
         
        
        
        
        
            fDate : 
7/1/2008 12:00:00 AM
         
        
        
        
            Abstract : 
The ldquowater-fillingrdquo solution for the quadratic rate-distortion function of a stationary Gaussian source is given in terms of its power spectrum. This formula naturally lends itself to a frequency domain ldquotest-channelrdquo realization. We provide an alternative time-domain realization for the rate-distortion function, based on linear prediction. The predictive test channel has some interesting implications, including the optimality at all distortion levels of pre/post filtered vector-quantized differential pulse-code modulation (DPCM), and a duality relationship with decision-feedback equalization (DFE) for intersymbol interference (ISI) channels.
         
        
            Keywords : 
Gaussian processes; decision feedback equalisers; differential pulse code modulation; intersymbol interference; rate distortion theory; Gaussian rate-distortion function; decision-feedback equalization; differential pulse- code modulation; duality relationship; intersymbol interference channels; power spectrum; predictive test channel; stationary Gaussian source; time-domain realization; water-filling solution; AWGN; Additive white noise; Frequency domain analysis; Gaussian noise; Intersymbol interference; Mutual information; Pulse modulation; Rate-distortion; Resource description framework; Testing; Decision feedback; Shannon lower bound; differential pulse-code modulation (DPCM); directed-information; entropy coded dithered quantization (ECDQ); equalization; minimum mean-square error (MMSE) estimation; pre/post-filtering; test channel; water-filling;
         
        
        
            Journal_Title : 
Information Theory, IEEE Transactions on
         
        
        
        
        
            DOI : 
10.1109/TIT.2008.924683