matlab-function

说明：  book related to electronic 1(korea version)

time series analysis tools

利用OptiSystem仿真软件对光纤色散进行仿真和分析。通过对初始时的脉冲波形、经过20km非线性色散光纤或的脉冲波形，理解光信号在传输过程中的色散问题。(Use OptiSystem simulation software simulation and analysis of optical fiber dispersion.Through the initial pulse waveform, after 20 km nonlinear dispersion fiber, or pulse waveform, understand the dispersion problem in the process of optical signals in the transmission.)

histogram equalization in matlab

fdtd模拟二维表面等离子体波导结构的电磁场分布(FDTD simulation of two-dimensional surface plasmon waveguide structure of electromagnetic field distribution)

MATLAB instruction mimo

大学生数学建模总结，十五个常用数学模型，有详细的推导过程，部分有编程指导(Mathematical modeling summary, fifteen commonly used mathematical models, a detailed derivation, part of a program guide)

基本的多维优化算法，如最速下降法，牛顿法以及高斯牛顿法等(Basic multidimensional optimization algorithms, such as the steepest descent method, Newton method and Gauss Newton method, etc.)

my_2bpsk.rar文件包含了一个m文件和一个低通滤波器数据文件，实现的数字通信系统的升余弦基带成型，bpsk数字调制，以及高斯白噪声、接收端相干解调系统处理的各个阶段，并用plot语句画出了相关波形,对于理解数字通信系统有很大的好处。(my_2bpsk.rar file contains an m file and a low-pass filter data file, to achieve the digital communication system raised cosine baseband shaping, bpsk digital modulation, and Gaussian white noise, the receiver coherent detection system at all stages of processing and used to draw the relevant waveform plot statement, the understanding of digital communication systems is highly desirable.)

《统计与自适应信号处理》是国外最新出版的一本统计信号处理教材。其主要特点是对统计与自适应信号处理的理论方法、实现及应用给出了较完整的论述和介绍。作者根据其多年的教学经验，并针对现代信号处理的理论及应用方面的重要性，选定谱估计、信号建模、自适应滤波与阵列信号处理等几个关键论题进行了详细的讨论。《统计与自适应信号处理》强调基本概念和理论方法，目的是为读者以后深入研究一些信号处理的新课题打下良好的基础。为了便于掌握，书中的数学描述和推导仅限于高年级本科生、研究生和工程技术人员能够理解的水平，因此《统计与自适应信号处理》具有较强的实用性。 《统计与自适应信号处理》适用于大学高年级本科生和研究生作为选修现代信号处理课程的教学参考书，也可作为工程技术人员自修现代信号处理理论及应用的参考书("Statistical and Adaptive Signal Processing" is the latest edition of a foreign statistical signal processing materials. Its main characteristic is the statistical theory and adaptive signal processing methods, and applications are given to achieve a more complete discussion and description. According to their years of teaching experience, and for modern signal processing theory and application of the importance of the selected spectral estimation, signal modeling, adaptive filtering and array signal processing, and several other key topics were discussed in detail. "Statistical and Adaptive Signal Processing," emphasizing basic concepts and theoretical methods, the reader is intended to signal processing after the in-depth study some new issues and lay a good foundation. In order to facilitate control, the mathematical description and derivation of the book is limited to advanced undergraduates, graduate students and engineers to understand the levels, "Statistical and Adaptive Signal)