@article{(Open Science Index):https://publications.waset.org/pdf/2811,
	  title     = {Compression and Filtering of Random Signals under Constraint of Variable Memory},
	  author    = {Anatoli Torokhti and  Stan Miklavcic},
	  country	= {},
	  institution	= {},
	  abstract     = {We study a new technique for optimal data compression
subject to conditions of causality and different types of memory. The
technique is based on the assumption that some information about
compressed data can be obtained from a solution of the associated
problem without constraints of causality and memory. This allows
us to consider two separate problem related to compression and decompression
subject to those constraints. Their solutions are given
and the analysis of the associated errors is provided.},
	    journal   = {International Journal of Mathematical and Computational Sciences},
	  volume    = {2},
	  number    = {11},
	  year      = {2008},
	  pages     = {771 - 776},
	  ee        = {https://publications.waset.org/pdf/2811},
	  url   	= {https://publications.waset.org/vol/23},
	  bibsource = {https://publications.waset.org/},
	  issn  	= {eISSN: 1307-6892},
	  publisher = {World Academy of Science, Engineering and Technology},
	  index 	= {Open Science Index 23, 2008},
	}