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Adaptive Sign Algorithm for Graph Signal Processing
Recently introduced graph adaptive least mean squares algorithm is unstable under non-Gaussian impulsive noise and has high computational complexity.
Maximum Average Entropy-Based Quantization of Local Observations for Distributed Detection
In a wireless sensor network, multilevel quantization is necessary in order to find a compromise between the smallest possible power consumption of the sensors and the detection performance at the fusion center (FC).
Beyond trans-dimensional RJMCMC with a case study in impulsive data modeling
This provides flexibility in using different types of candidate classes in the combined model space such as spaces of linear and nonlinear models or of various distribution families.
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