Manxi Wang

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This paper considers the recovery of group sparse signals over a multi-agent network, where the measurements are subject to sparse errors. We first investigate the robust group LASSO model and its centralized algorithm based on the alternating direction method of multipliers (ADMM), which requires a central fusion center to compute a global row-support(More)
In order to solve the contradiction between wireless communication service demand and spectrum resource shortage and enhance the utilization rate of spectrum, Cognitive Radio technology is necessary. Firstly, this paper presents a cognitive engine framework structure, and then the concept of bio-inspired and its application in CR computing were emphatically(More)
Spectrum Sensing Data Falsification (SSDF) is a critical threat to collaborative spectrum sensing (CSS) in cognitive radio networks. Especially, with increasing of amount of malicious users (MUs), SSDF causes enormous damage. Most studies have achieved success in the scenario that MUs are much less than honest users (HUs), but in this paper, we mainly(More)
For decreasing the high computational complexity of Turbo product code in PCM/FM telemetry system, a joint decoding algorithm based on syndrome-based decoding and a correlation operation to substitute for searching the competing codeword was proposed. Simulation results show that the proposed algorithm can effectively reduce the decoding complexity with(More)
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