第二次课材料

说明：  M文件编写的BP神经网络例子，有学习和识别的功能(M document prepared by the example of BP neural network, learn and identify the function)

说明：  本书是学习数值方法最新版本matlab实现的好帮手，详细而全的讲解及实现为自学matlab是一本不错的书籍。(This book is the latest version of matlab numerical methods to learn to achieve a good helper, detailed and full realization of the self-presentation as well as matlab is a good book.)

说明：  MATLAB实用程序百例非常的实用，尤其是在图像处理方面的。(MATLAB utility hundred cases, very practical)

说明：  文章简要介绍了模糊控制的概念和特点，并对模糊控制的原理作了说明，较详细的介绍了模糊控制的现状，包括模糊PID控制、自适应模糊控制、神经模糊控制、遗传算法优化的模糊控制、专家模糊控制等，最后对模糊控制的发展作了展望。(This paper briefly introduces the concept and characteristics of fuzzy control, and fuzzy control principle is illustrated in more detail the status of the fuzzy control including fuzzy PID control, adaptive fuzzy control, neural fuzzy control, genetic algorithm optimization of fuzzy control, expert fuzzy control, the last of the fuzzy control prospects of development.)

具有相关性的风速序列的拉丁超立方采样方法的例子，包含Cholesky以及排序(Examples of correlation between wind speed sequence of Latin hypercube sampling method, including Cholesky and sorting)

使用matlab实现自动提取网格图像交点的程序，(Realize the use of automatic extraction matlab image point grid procedure,)

x=GaussianElimination(A,b) GaussianElimination solves system of linear equations of the form Ax = b using Gaussian Elimination method. A = n x n square matrix with the coefficients of the system of equations as the elements of matrix A b = column matrix with length = n

稀疏脉冲反褶积程序，提高地震资料分辨力的有力工具！！(Sparse pulse deconvolution program, is a powerful tool to improve the resolution of seismic data!!!!!)

DFA算法的MTALAB的实现，用于处理高密度的随机噪声(The implementation of DFA algorithm)

《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)