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Written for engineering and computer science students and practicing engineers, this book provides the fundamental applications and mathematical techniques of signal processing. Topics covered include programming in MATLAB, filters, networking, and parallel processing. MATLAB is introduced and used to solve numerous examples in the book. Companion software available In addition, a set of MATLAB M-files is available on a CD bound in the book.

This is a simple example in Matlab where a array is introduced

说明：  能够精确地提取雷达波的初至时，进行层析成像(Radar can accurately extract the first to when tomography)

自己编写的比例导引法 simulink 打击机动目标(I have written simulink proportional navigation law against maneuvering targets)

这个是matlab关于拉格朗日差值的源程序代码，可以运行的。(This is Lagrange numerical algorithm source code, you can run.)

光波导的matlab仿真书籍，实在是太好用了，我找了好久才找到的，希望可以给大家使用(Optical waveguide matlab simulation books are really good, and I found a long time to find, hoping for everyone to use)

说明：  该方法自适应地将一个复杂的非平稳的多分量信号分解为若干个瞬时频率具有物理意义的乘积函数（Product function,简称PF）之和，其中每一个PF分量由一个包络信号和一个纯调频信号直接求出。包络信号就是该PF分量的瞬时幅值，而PF分量的瞬时频率则可以由纯调频信号直接求出，进一步将所有PF分量的瞬时幅值和瞬时频率组合，便可以得到原始信号的完整的时频分布。(This method adaptively decomposes a complex non-stationary multi-component signal into the sum of several product functions (PF) with physical meanings at instantaneous frequencies, where each PF component consists of an envelope signal and a pure The FM signal is directly obtained. The envelope signal is the instantaneous amplitude of the PF component, and the instantaneous frequency of the PF component can be directly obtained from the pure frequency modulation signal. Further, the instantaneous amplitude of all PF components and the instantaneous frequency are combined to obtain the complete original signal. Time-frequency distribution.)

MATLAB仿真实现AR模型，Yule-Walker 功率谱估计及AR模型频率响应(MATLAB simulation of the AR model, the Yule-Walker power spectrum estimation and the AR model frequency response)

The progress of the research in wireless communications and in other areas stimulates the rapid development of WSN. The motivation for the development of WSN is their flexibility, relative ease of installation (e.g., in places with radioactive pollution), lower power consumption etc. As can be concluded from [2], a WSN - is an infrastructure comprised of sensing, computing, and wireless communication elements that provides the ability to instrument, observe, and react to events and phenomena in a certain environment. The information obtained by sensors can be used for civil, governmental, commercial, or industrial purposes.

说明：  标准微粒群算法，采用matlab编程实例。(Standard particle swarm optimization using matlab programming examples.)