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正弦信号的频谱图形，短小的编码程序，用matlab实现。可实现简单频谱图(Sinusoidal signal spectrum graphics, short of coding procedures, using matlab realize. Can realize a simple frequency spectrum)

本程序教你如何打开excel文档，将要写进去的内容写进表格中，轻轻松松完成打开关闭表格工作(This program teaches you how to open excel document, will be written into the write into the contents of the table, turn off the form easy to complete the work of)

包含波束域的esprit和实值化的波束域esprit程序，结构清晰，便于学习研究这方面的朋友对照程序，学习相关的原理。(Domain contains the beam and the esprit of the beam real esprit domain procedures, the structure of a clear, easy to study and research in this area control procedures friends, learning principle.)

说明：  M AT L A B有一些命令可以来控制M AT L A B语句的执行，如条件语句、循环语句和支持用 户交互的命令，本章将介绍这些命令.(M AT LAB some commands to control the implementation of M AT LAB statements, such as conditional statements, loop statements, and support the use of Users interact with the command, this chapter will describe these commands)

Refractive index matlab code for ec engineer

基于Malvar窗时频谱的反Q滤波方法0479-8023(2012)03-0405-06(Seismic Inverse Q Filíering U sing Malvar Window based Time-Frequency Analysis)

目前我见过分析最为全面的2PSK系统的基于MATLAB的仿真分析M文件(At present I have seen of the most comprehensive 2PSK system simulation analysis based on MATLAB M file)

说明：  基于负熵的盲源分离算法，可以用于语音的盲分离，提高语音信号质量。本代码中，对原始信号分别为正弦波，方波，和随机信号，通过高斯信道的混合矩阵，获得接收信号，并通过基于负熵的盲源分离算法分理处原始信号。PS：Matlab版本为2018Ra(The blind source separation algorithm based on negative entropy can be used for speech blind separation and improve the quality of speech signal. In this code, for the original signal, sine wave, square wave and random signal, the received signal is obtained through the mixture matrix of the Gauss channel, and the original signal is processed by the blind source separation algorithm based on negative entropy. PS: MATLAB Version 2018Ra)

说明：  BP神经网络经典算法 用于故障检测案例 已经使用过 可放心使用(BP neural network classic algorithm used in fault detection cases It has been used and can be used safely)

均衡技术的matlab仿真。包括时域均衡和频域均衡后的信噪比对比(Equalization matlab simulation. Including time domain equalization and frequency domain equalization SNR comparison)