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In this paper, we aim to improve the overall performance of kernel adaptive filters by adaptively combining several component filters with different parameters setting in the practical applications. The convex combination scheme is exploited to incorporate any two parallel diversity branches which could be the component filter or the output of previous combination layer. The proposed convex combination...
Orthogonal frequency division multiplexing (OFDM) signals widely applied in digital wireless communication systems inevitably suffers from the distortion caused by high power amplifier (HPA) exhibiting output saturation characteristics. In this paper, kernel adaptive filtering is designed as the predistorter for separately compensating the nonlinearity of output amplitude and phase resulting in adjacent...
This paper proposes a two-phase feature selection method specific for bioinformatics domain from classification perspective in data mining. In the first phase, Bhattacharyya distance measurement is used for filtering the majority of irrelevant genes. Upon the basis, we apply floating sequential search method (FSSM) to further select informative gene set using kernel distance as measurement of class...
With the expansion of software size and complexity, how to detect defects becomes a challenging problem. This paper proposes a defect detection method which applies data mining techniques in source code to detect two types of defects in one process. The two types of defects are rule-violating defects and copy-paste related defects which may include semantic defects. During the process, this method...
This paper introduces a model which combine support vector machine with genetic algorithm to predict the ecological water demand. With the sharply increasing conflict of supply and demand of water resources, the ecological water demand volume is becoming scarce. The prediction of ecological water demand is an important part to the water resource programming and management. Yet the scarce samples and...
Gain loss due to out of stock, increasing inventory cost due to amass stock, limited self-capacity (self-inventory and lease inventory make the stock cost differences), uncertainty of lead time, make the optimal point problem complex. Use the nonparametric statistics method to randomly simulate the lead time distribution, propose the average expense model of multi- period, develop and solve the random...
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