Title : 
Source coding with feedforward: Gaussian sources
         
        
            Author : 
Pradhan, S. Sandeep
         
        
            Author_Institution : 
Michigan Univ., Ann Arbor, MI, USA
         
        
        
            fDate : 
27 June-2 July 2004
         
        
        
            Abstract : 
This paper describes the source coding of the information signals with feedforward Gaussian sources. A stationary memoryless Gaussian source with zero-mean and variance, and with mean squared error as the distortion measure, gives a deterministic scheme that achieves the optimal rate-distortion bound using simple uniform scalar quantizers. To reconstruct source codes, the decoder uses the optimal Shannon rate-distortion function and achieves channel coding with feedback.
         
        
            Keywords : 
Gaussian processes; channel coding; distortion measurement; feedforward; mean square error methods; memoryless systems; quantisation (signal); rate distortion theory; source coding; Shannon rate-distortion function; channel coding; code reconstruction; decoder; distortion measurement; feedforward; information signal; mean squared error; source coding; stationary memoryless Gaussian source; uniform scalar quantizer; variance; zero-mean; Decoding; Delay; Distortion measurement; Electronic mail; Encoding; Length measurement; Probability distribution; Rate-distortion; Seismic waves; Source coding;
         
        
        
        
            Conference_Titel : 
Information Theory, 2004. ISIT 2004. Proceedings. International Symposium on
         
        
            Print_ISBN : 
0-7803-8280-3
         
        
        
            DOI : 
10.1109/ISIT.2004.1365249