由于非线性系统的复杂性，现有的各种非线性检测方法都有其局限性。
Each method for detecting an system's nonlinearity has it's localization because of the complexity of non-linear systems.
时间序列的非线性检测对于非线性时间序列分析、混沌特性研究有着重要意义。
Test of nonlinearity of time series is very important for nonlinear time series analysis and study of chaotic dynamics.
最佳多用户检测器是非线性检测器，特征码不完全正交时，线性检测器很难逼近最佳检测器。
Due to non orthogonality of signature sequence, performance of linear detector is much less than that of the optimum detector that is nonlinear.
讨论了时间序列的几种非线性检测方法，将代理数据产生方法中的IAAFT方法与冗余方法结合起来，对实测海杂波数据进行非线性检测。
This paper discusses various methods of test of nonlinearity of time series. Real-life sea clutter data are tested with the IAAFT method combined with redundancy.
非线性检测包括构成散点图、计算散点图量化指标(PLO)以及复杂度(COM)、预测度(PRE)、李雅普·诺夫指数(LI)、相关维(cd)等参数。
The parameters derived from the non liner test were index of Poincare graphics (PLO), complexity (com), prediction (pre), index of Lyapounov (li), and correlation dimension (CD).
另外，支撑矢量机多用户检测器的非线性特性可以比线性检测器更好地逼近最优检测器。
The nonlinear support vector machine multiuser detector can approach the optimum multiuser detector in a better way than the other linear detectors.
另外，支撑矢量机多用户检测器的非线性特性可以比线性检测器更好地逼近最优检测器。
The nonlinear support vector machine multiuser detector can approach the optimum multiuser detector in a better way than the other linear detectors.
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