In this paper, we introduce the Relevant Vector Machine (RVM) from Michael Tipping. The formulation of the RVM in regression and classification is reviewed. Then we · analyze why the RVM can reach a sparse solution. In the experiment, we use the real application data to compare the performance of SVM and RVM. The advantages and disadvantage of the SVM and RVM is analyzed based on the experimental results. Some suggestion for the RVM is presented in the discussion section.
Abstract. The delay difference of the link has an effect on the diversity performance of the FM mode diversity, and may even cause the system to demodulate abnormally and can not stably track. Based on the diversity of FM mode and the principle of angular error demodulation, this paper analyzes the influence of link delay on the performance of synthesis gain and angular error randomness, and puts forward the improvement of tracking demodulation system by introducing delay correction.
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