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西蒙赫金———《自适应滤波器原理》第五章(failed to translate)

本程序仿真了16QAM信号的载波相偏估计的HOS算法，整个算法实现分为（1）模拟发送端发送16QAM信号；（2）加入相偏来模拟通过信道后有相偏的测试信号；（3）利用HOS算法进行相偏估计与纠正；（4）输出星座图。(This procedure simulated a 16QAM signal carrier phase offset estimate of the HOS algorithm, the algorithm is divided into (1) analog transmitter to send 16QAM signal (2) by the inclusion of partial to simulate the channel after the phase offset of the test signal (3 ) algorithm using HOS phase offset estimate and correction (4) output constellation.)

模式识别作业-自编的BP神经网络判断异或的matlab源代码，每一步都有详细说明。并有详细的结果输出。(Pattern recognition operations- the BP neural network to determine self XOR the matlab source code, detailed description of each step. And a detailed results output.)

using the maping and composite method to calculate the integration of exp(-x2/2)

线性调频信号的正交解调及脉冲压缩处理技术在matlab中的实现(The chirp signal quadrature demodulation and pulse compression processing technology implemented in matlab)

A figure of merit is a quantity used to characterize the performance of a device, system or method, relative to its alternatives. In engineering, figures of merit are used as a marketing tool to convince consumers to choose a particular brand.

说明：  一种FxLMS自适应滤波算法 LMS自适应滤波算法RLS自适应滤波算法变换域自适应滤波算法仿射投影算法共扼梯度算法基于子带分解的自适应滤波算法基于QR分解的自适应滤波算法算法性能评价变步长的自适应滤波算法时变系统跟踪速度与收敛精度方面对算法调整步长因子u的矛盾,但变步长中的其它参数的选取还需实验来确定,应用起来不太方便。对RLS算法的各种改进,其目的均是保留RLS算法收敛速度快的特点而降低其计算复杂性。变换域类算法亦是想通过作某些正交变换使输入信号自相关矩阵的特征值发散程度变小,提高收敛速度。而仿射投影算法的性能介于LMS算法和RLS算法之间。共扼梯度自适应滤波算法的提出是为了降低RLS类算法的复杂性和克服某些快速RLS算法存在的数值稳定性问题。信号的子带分解能降低输入信号的自相关矩阵的特征值发散程度,从而加快自适应滤波算法的收敛速度,同时便于并行处理,带来了一定的灵活性。(A FXLMS adaptive filtering algorithm)

matlab下模糊函数工具箱的使用例程，详细解释了若干函数的用法(matlab toolbox under the ambiguity function of the use of routine, detailed explanation of a number of function usage)

电力系统专业往往要涉及到故障数据处理，也就是解析COMTRADE格式的的数据文件.此代码完成读取COMTRADE格式文件的功能(matlab中) (Professionals often have to power system fault data relating to treatment, that is, analyticc COMTRADE format data files. This code completion read COMTRADE format files (matlab Medium) )

该程序用Matlab实现hilbert-huang变换，含EMD，HHT，边际谱等，有一些实例，较完善。(The program uses Matlab to achieve hilbert-huang transform, including EMD, HHT, the marginal spectra, there are some instances better.)