A Nonlinear Adaptive Beamforming Algorithm Based on Least Squares Support Vector Regression
نویسندگان
چکیده
منابع مشابه
A Nonlinear Adaptive Beamforming Algorithm Based on Least Squares Support Vector Regression
To overcome the performance degradation in the presence of steering vector mismatches, strict restrictions on the number of available snapshots, and numerous interferences, a novel beamforming approach based on nonlinear least-square support vector regression machine (LS-SVR) is derived in this paper. In this approach, the conventional linearly constrained minimum variance cost function used by...
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Constitutive modeling of clay is an important research in geotechnical engineering. It is difficult to use precise mathematical expressions to approximate stress-strain relationship of clay. Artificial neural network (ANN) and support vector machine (SVM) have been successfully used in constitutive modeling of clay. However, generalization ability of ANN has some limitations, and application of...
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a Information Technology Supporting Center, Institute of Scientific and Technical Information of China No. 15 Fuxing Rd., Haidian District, Beijing 100038, China b School of Economics and Management, Beijing Forestry University No. 35 Qinghua East Rd., Haidian District, Beijing 100038, China College of Information and Electrical Engineering, China Agricultural University No. 17 Qinghua East Rd....
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ژورنال
عنوان ژورنال: Sensors
سال: 2012
ISSN: 1424-8220
DOI: 10.3390/s120912424