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LMSE-HoKashyap
- 最小平方误差(LMSE)算法实现,可训练的确定性分类器的迭代算法。用于对训练一个向量,使得向量与给定矩阵的乘积的结果向量足够小。-least square error (LMSE) algorithm can be trained classifier uncertainty iterative algorithm. For a pair of training vectors, making vector and matrix giv
LMSE
- 关于LMSE算法的详细文档,希望对学习LMS 均衡接收机的同学有帮助:)-LMSE algorithm on the detailed documentation, and I hope to learn a balanced receiver LMS students help :)
LMSE-HoKashyap
- 最小平方误差(LMSE)算法实现,可训练的确定性分类器的迭代算法。用于对训练一个向量,使得向量与给定矩阵的乘积的结果向量足够小。-least square error (LMSE) algorithm can be trained classifier uncertainty iterative algorithm. For a pair of training vectors, making vector and matrix giv