Adaptive Anytime Data Transmission of Non-Stationary Signals
Annamária R. Várkonyi-Kóczy*,**
*Institute of Mechatronics and Vehicle Engineering, Óbuda University, Népszínház u. 8., H-1081 Budapest, Hungary
**Integrated Intelligent Systems Japanese-Hungarian Laboratory
This paper introduces the concept of anytime recursive overcomplete signal representations using different recursive signal processing algorithms. The novelty of the approach is that an on-going set of signal transformations together with appropriate (e.g., L1 norm) minimization procedures can provide optimal and flexible anytime on-going representations, on-going signal segmentations into stationary intervals, and on-going feature extractions for immediate utilization in data transmission, communication, diagnostics, or other applications. The proposed technique may be advantageous if the transmission channel is overloaded and in case of processing non-stationary signals when complete signal representations can be used only with serious limitations because of their relative weakness in adaptive matching of signal structures.
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