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One-vs-One Multiclass Least Squares Support Vector Machines for Direction of Arrival Estimation.

机译：一对一多类最小二乘支持向量机的到达方向估计。

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摘要

This paper presents a multiclass, multilabel implementation of Least Squares Support Vector Machines (LS-SVM) for DOA estimation in a CDMA system. For any estimation or classification system the algorithm's capabilities and performance must be evaluated. This paper includes a vast ensemble of data supporting the machine learning based DOA estimation algorithm. Accurate performance characterization of the algorithm is required to justify the results and prove that multiclass machine learning methods can be successfully applied to wireless communication problems. The learning algorithm presented in this paper includes steps for generating statistics on the multiclass evaluation path. The error statistics provide a confidence level of the classification accuracy.

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Rohwer, J. A.; Abdallah, C. T.;
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年度 2003
页码 1-13
总页数 13
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关键词
Direction finding; Learning machines; Least squares method; Arrival; Code division multiple access; Component report; Nn(Neural nets); Svm(Single vector machines); Machine learning; Doa(Direction of arrival);

机译：测向;学习机;最小二乘法;到达;码分多址;组件报告; Nn（神经网络）; svm（单向量机）;机器学习; Doa（到达方向）;

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专利

1. One-vs-One Multiclass Least Squares Support Vector Machines for Direction of Arrival Estimation [J] . Judd A. Rohwer, Chaouki T. Abdallah Applied Computational Electromagnetics Society journal . 2003,第2期

机译：一对多多类最小二乘支持向量机的估计方向
2. Least square support vector machine based Multiclass classification of EEG signals [J] . Deepesh Kumar, Rajesh Kumar Tripathy, Ashutosh Acharya WSEAS Transactions on Signal Processing . 2014,第Pta1期

机译：基于最小二乘支持向量机的脑电信号分类
3. Multiclass Least-squares Support Vector Machines For Analog Modulation Classification [J] . Abdulkadir Sengur Expert systems with applications . 2009,第3p2期

机译：用于模拟调制分类的多类最小二乘支持向量机
4. Least squares support vector machines for direction of arrival estimation with error control and validation [C] . Rohwer, J.A., Abdallah, Global Telecommunications Conference, 2003. GLOBECOM '03. IEEE . 2003

机译：最小二乘支持向量机，用于误差估计和验证的到达方向估计
5. Machine learning methods for CDMA power control and direction of arrival estimation. [D] . Rohwer, Judd Andrew. 2003

机译：用于CDMA功率控制和到达方向估计的机器学习方法。
6. Partial least Squares- least squares- Support Vector Machine Modeling of ATR-IR as a Spectrophotometric Method for Detection and Determination of Iron in Pharmaceutical Formulations [O] . Elahehnaz Parhizkar, Hadi Saeedzadeh, Fatemeh Ahmadi, 2019

机译：ATR-IR的偏最小二乘-最小二乘-支持向量机建模用于分光光度法检测和测定药物制剂中的铁
7. Least Squares Support Vector Machines for Direction of Arrival Estimation with Error Control and Validation [O] . Judd A. Rohwer, Chaouki T. Abdallah, Christos G. Christodoulou 2014

机译：具有误差控制和验证的最小二乘支持向量机的到达方向估计

One-vs-One Multiclass Least Squares Support Vector Machines for Direction of Arrival Estimation.

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