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Weight distribution of code is very important for error correction in the use of Turbo coding program in optical fiber communication. Input sequence need to pass convolutional encoder, Therefore, it is necessary that the weight of the output should be kept as large as possible. Although the interleaver can help to improve the output code weight, the higher the complexity of interleaving, the iterative...
For improving MIMO radar detection probability of weak target, this paper proposes a tracking before detecting (TBD) algorithm based on successive target cancellation-dynamic programming (STC-DP). The algorithm extracts signals' sufficient statistic which is used to screens the track points and integrates signals, reducing complexity. Then in case of unknown the number of target, detect targets effectively...
Reliability is an overriding concern for power systems that involve different types of uncertainty including contingencies and intermittent renewables. Contingency-constrained unit commitment (CCUC) satisfying the “N – 1 rule” is extremely complex, and the complexity is now compounded by the drastic increase in renewables. This paper develops a novel interval optimization approach for CCUC with N...
More and more wind generation is introduced to electricity markets. Yet, it is not clear how to conduct auctions with significant stochastic wind generation while avoiding dramatically increasing computational complexity. In this paper, the Markov process concept is innovatively used to model wind generation with transition matrices established based on the historical data. Wind generation is then...
Feature selection is a crucial step in the supervised learning process. Traditional feature selection methods based on mutual information cannot directly handle the feature set with hybrid continuous and categorical features, and cannot dynamically eliminate the redundant features in the feature selection process. Resort to mutual information, a hybrid feature selection method named PGFB is proposed...
This paper investigates the sum rate capacity of MIMO broadcast channels (MIMO-BCs) in cognitive radio (CR) networks. An efficient algorithm is proposed for selecting a set of users to achieve a high sum rate capacity of the system. With the above algorithm, the sum rate capacity of MIMO-BCs in CR networks with average interference power constraints and transmit power constraints is derived. We formulate...
An array processing based decoder for the quasi-orthogonal space-time block code (QO-STBC) has been analyzed in our former work. It is investigated in terms of complexity and symbol error ratio (SER) under the assumption that perfect channel state information (CSI) is known to the receiver. As in wireless communication scenarios, it is prohibitive to get the perfect knowledge of channel. So it is...
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