Title :
Generalized writing on dirty paper
Author :
Cohen, Aaron S. ; Lapidoth, Amos
Author_Institution :
MIT, Cambridge, MA, USA
Abstract :
We expand Costa´s (1983) writing on dirty paper model to consider general distributions on the two sources of additive noise - one known non-causally to the encoder. We show that, under certain conditions, the capacity is unaffected by the known noise if and only if the unknown noise is Gaussian.
Keywords :
AWGN; encoding; modulation; quantisation (signal); statistical analysis; AWGN; Costa´s model; additive white Gaussian noise; coding; communication model; distortion compensated quantization index modulation; encoder; general source distribution; generalized writing on dirty paper; i.i.d. noise sequences; independent identically distributed noise sequences; independent sources; Additive noise; Additive white noise; Broadcasting; Decoding; Gaussian noise; Modulation coding; Power system modeling; Quantization; Watermarking; Writing;
Conference_Titel :
Information Theory, 2002. Proceedings. 2002 IEEE International Symposium on
Print_ISBN :
0-7803-7501-7
DOI :
10.1109/ISIT.2002.1023499
