Employing a measure of sparseness to investigate sparse data compression in awgn conditions
Johan Schoeman, Louis P. Linde · SAIEE Africa Research Journal · 2006
This paper introduces a measure for data sources that may be used to evaluate the potential compression gain achievable in such sources. The algorithm is applied in two examples, the first being a sparse source coding technique, while the second is the derivation of BER bounds in AWGN for sparse data. The authors present comparative results of sparse source coding and an uncoded system in terms of the introduced performace measure and error propagation in AWGN conditions. Simulation results show that the performance measure can be effectively used to predict the potential of a source for compression and to more accurately estimate the decision interval for detectors, ranging from rd= 0.549.'5 (Eb/N0= 0, ηα= 0.1) to rd= 0.0202 (Eb/N0= 7, ηα= 0.4). Comparative PDF and BER results are shown for various sparseness levels in coded and uncoded systems.