The algorithm resolves she non-separable problem in low dimension space and has high generalization performance.Interesting signals ran also he classified under the presence of interference signals.
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释义
该算法解决了样本在低维空间中的不可分问题,具有良好的泛化推广性能,并且可在多种调制信号环境下实现对感兴趣信号类型的识别。
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