Shunliang Mei

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In order to improve the performance of Least Mean Square (LMS) based system identification of sparse systems, a new adaptive algorithm is proposed which utilizes the sparsity property of such systems. A general approximating approach on l0 norm – a typical metric of system sparsity, is proposed and integrated into the cost function of the LMS algorithm.(More)
Based on the methodological similarity between sparse signal reconstruction and system identification, a new approach for sparse signal reconstruction in compressive sensing (CS) is proposed in this paper. This approach employs a stochastic gradient-based adaptive filtering framework, which is commonly used in system identification, to solve the sparse(More)
In order to improve the performance of least mean square (LMS) based system identification of sparse systems, a new adaptive algorithm is proposed which utilizes the sparsity property of such systems. A general approximating approach on <i>l</i> <sub>0</sub> norm-a typical metric of system sparsity, is proposed and integrated into the cost function of the(More)
Compressed sensing (CS) has been proposed for more efficient signal compression and recovery at theoretical level. This paper proposes a new image/video coding approach combining the CS theory into the traditional discrete cosine transform (DCT) based coding method to achieve better compression efficiency for spatially sparse signal. Furthermore, this new(More)
This paper discusses the realization of Adaptive Traffic Load slotted MACA in cellular based M2M communication. Based on the statistic information of the channel's occupancy rate, the base station estimates the traffic load and calculates the RTS transmission probability and broadcast to the members. By using the ATL S-MACA we control the access of the(More)
In wireless sensor networks, energy conserving techniques are crucial to achieve satisfying network lifetime. One effective way to significantly reduce the energy consumption of sensors is using topology management mechanism, which periodically selects some nodes to build up the forwarding backbone and allow the others to sleep (turn off the radios) for(More)