Chapter4

最小均方（LMS）自适应算法就是一中已期望响应和滤波输出信号之间误差的均方值最小为准的，依据输入信号在迭代过程中估计梯度矢量，并更新权系数以达到最优的自适应迭代算法。LMS算法是一种梯度最速下降方法，其显著的特点是它的简单性。这算法不需要计算相应的相关函数，也不需要进行矩阵运算。(Minimum mean-square (LMS) adaptive algorithm is that one has to respond to the expectations and filtering the output signal of the mean square error between the value of the minimum-based, based on the input signal is estimated in the iterative process of gradient vector, and to update the weights in order to achieve the most Adaptive iterative algorithm gifted. LMS algorithm is a steepest descent gradient method, and its significant features is its simplicity. This algorithm does not require calculation of the corresponding correlation function, nor the need for matrix calculation.)

Fitzgibbon, Pilu, Fisher: Direct Least Squares Fitting of Ellipses (Fitzgibbon, Pilu, Fisher : Direct Least Squares Fitting of Ellipses)

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本程序是希尔伯特黄变换中的EMD分解得到IMF分量的源程序(This procedure is the Hilbert-Huang transform EMD decomposition IMF component of the source)

说明：  神经网络处理污垢数据的matlab程序的lavbview实现(The interface of fouling thermal resistance LabVIEW)

传统均衡器无法有效地同时对抗这两种信道衰落，而Turbo均衡技术作为一种联合信道均衡和信道译码的方法，能有效地对抗符号间干扰（ISI），提供迭代增益，提高接收机的整体性能。因此，本文根据下一代无线通信系统的设计要求，分别对单载波和OFDM系统的Turbo均衡算法进行了研究。 (Conventional equalizer can not effectively fight both at the same time fading, while the Turbo equalization as a joint channel equalization and channel decoding method is robust against inter-symbol interference (ISI), provides iteration gain, improved receiver overall performance. Therefore, this next-generation wireless communication system according to the design requirements, namely, the single carrier and OFDM systems Turbo equalization algorithm is studied.)

简正波matlab程序代码，供大家学习交流(Normal wave matlab code for all to learn from the exchange of)

说明：  怎么来进行高速运动雷达弱小目标检测方法研究呢(How to carry out high-speed movement of Small Target Detection Radar it)

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自适应递推最小二乘RLS算法，用matlab的m文件(Adaptive recursive least squares RLS algorithm)