kmeans

采用窗函数和最佳逼近法两种方法设计FIR滤波器(Using window function and the best approximation method were used to design FIR filter)

字符分割MATLAB源代码。你懂得。字符分割MATLAB源代码。你懂得。字符分割MATLAB源代码。你懂得。(fdsfsfasfasdfsdfsdfdfs)

说明：  L-曲线法是反问题正则化方法中的参数选取中的重要方法，本程序给出了如何恰当选取其中的参数！(L-curve method is the inverse problem regularization method of parameter selection in an important way, this procedure is given on how to properly select one of the parameters!)

杜建明 编著，是少有的中文版的专门讲mathematica在电磁场理论中的应用的书籍，例子丰富(杜建明 edited, is a rare devoted mathematica in electromagnetic theory in the Chinese version of the book, rich in examples)

M/N逻辑法航迹起始程序，仿真环境参照《雷达数据处理及应用》P99页，程序简单明了，适合初学者(M/N logic method of track initiation procedures, simulation environment reference radar data processing and application P99 page, the procedure is simple and clear, suitable for beginners)

说明：  基于模型参考自适应的异步电机转速辨识仿真模型(Based on Model Reference Adaptive Speed Identification of Induction Motor Simulation Model)

Implementation of the canny edge detector.

matlab下编写的三步快速搜索法，希望大家有用(Three Step Search Algorithm)

4) 创建一个名为Complex的类，进行复数的算术运算。复数的形式为： realpart+imaginarypart*i 用浮点变量表示类的private数据。提供构造函数，能够对所声明的该类对象进行初始化。在不提供初始化值的情况下，该构造函数应包含默认值。针对以下功能，分别提供一个public成员函数。 （1）两个复数相加； （2）两个复数相减 （3）用（a, b）的形式打印复数，其中a为实部，b为虚部。 (4) Create a class called Complex, and perform complex arithmetic operations. Plural form: realpart+imaginarypart* i said private data class with floating point variables. Provide a constructor, the object can be declared for the class is initialized. In the case do not provide initialization values, the constructor should contain default values. For the following functions, which provide a public member function. (A) two complex numbers (2) the subtraction of two complex (3) (a, b) in the form of plural printing, where a is the real part, b is the imaginary part.)

代码里有很完整的注释和解释，包含了阵列信号处理的常见算法，包括调制，解调，信噪比计算，快速扩展随机生成树算法，包含特征值与特征向量的提取、训练样本以及最后的识别。(Code, there are very complete notes and explanations Contains a common array signal processing algorithm, Includes the modulation, demodulation, signal to noise ratio calculation, Rapid expansion of random spanning tree algorithm, Contains the eigenvalue and eigenvector extraction, the training sample, and the final recognition.)