Total System Energy Minimization for Wireless Image Transmission
Journal of VLSI Signal Processing Systems - Special issue on multimedia signal processing
Reconfigurable Computing for Digital Signal Processing: A Survey
Journal of VLSI Signal Processing Systems
Low-power MIMO signal processing
IEEE Transactions on Very Large Scale Integration (VLSI) Systems - Special section on the 2001 international conference on computer design (ICCD)
Stochastic resource allocation for energy-constrained systems
EURASIP Journal on Wireless Communications and Networking - Special issue on optimization techniques in wireless communications
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In this paper, we present low-power reconfigurable adaptive equalizers derived via dynamic algorithm transforms (DATs). The principle behind DAT is that conventional signal processing systems are designed for the worst case and are not energy-optimum on average. Therefore, significant energy savings can be achieved by optimally reconfiguring the hardware in these situations. Practical reconfiguration strategies for adaptive filters are presented. These strategies are derived as a solution to an optimization problem. The optimization problem has energy as the objective function and a constraint on the algorithm performance (specifically the SNR). The DAT-based adaptive filter is employed as an equalizer for a 51.84 Mb/s very high speed digital subscriber loop (VDSL) over 24-pair BKMA cable. The channel nonstationarities are due to variations in cable length and number of far end crosstalk (FEXT) interferers. For this application, the traditional design is based on 1 kft cable length and 11 FEXT interferers. It was found that up to 81% energy savings can be achieved when cable length varies from 1-0.1 kft and the number of FEXT interferers varies from 11 to 4. On the average, 53% energy savings are achieved as compared with the conventional worst-case design