Applied-Numerical-Methods-Using-MATLAB---Yang-Cao

dfa 时间序列的赫斯特指数的计算线性趋势的拟合

ACTIVE CONTOUR WITHOUT EDGES in matlab

一个关于用神经网络进行数字识别的matlab程序(On the use of a neural network for digital identification of the matlab program)

FXLMS algorithm with sign wave as a input matlab program adaptive algo.

APF仿真，关于matlab中APF的全面仿真，自己画的图，绝对正确，无任何错误(APF simulation model)

MMSE是自适应波束形成的主要算法之一。熟悉它的处理流程有助于快速了解该算法的基本思想。(MMSE is one of the main algorithms of adaptive beamforming. Familiarity with its processing flow helps to quickly understand the basic idea of the algorithm.)

DOA baemforming for one monopole

本书是“MATLAB应用技术”系列丛书之一，以最新推出的MATLAB中的小波分析工具箱Wavelet Toolbox 3.0版本为基础。全书共分为三部分，第1部分着重介绍了小波理论基础，包括小波基础知识、连续小波变换、离散小波变换、多分辨率分析与正交小波变换、小波变换和多采样滤波器组、二维小波变换与图像处理及小波包的基本原理等；第2部分重点说明了小波分析工具箱的详细使用方法，包括图形用户接口、小波通用函数、一维小波变换的MATLAB实现、二维小波变换的MATLAB实现、小波包变换的MATLAB实现、信号和图像的降噪和压缩，以及最新的信号和图像的提升小波变换等内容；第3部分主要介绍了小波工具箱的应用基础，以及小波变换在语音和生物医学信号处理中、故障诊断中、数字水印中的应用方法。(This book is "MATLAB application technology" Series on one of the latest MATLAB Wavelet toolbox in the Wavelet Toolbox 3.0 version of the basis. The book is divided into three parts, Part 1 focuses on the theory of wavelet basis, including basic knowledge of wavelets, continuous wavelet transform, discrete wavelet transform, multiresolution analysis and orthogonal wavelet transform, wavelet transform and multirate filter banks, 2-dimensional wavelet transform and image processing and the basic principles of wavelet packets, etc. Part 2 highlights the detailed use of wavelet analysis toolbox methods, including graphical user interface, wavelet generic function, one-dimensional wavelet transform MATLAB realization of two-dimensional wavelet transform of the MATLAB implementation of the MATLAB implementation of wavelet packet transform, signal and image noise reduction and compression, and the latest signal and image enhancement of wavelet transform content Part 3 introduces the wavele)

说明：  信噪比估计代码，附有IEEE文献一篇，在AWGN下进行了MCRB的相关仿真(A Comparison of SNR Estimation Techniques for the AWGN Channel)

根据给定函数的结点的函数值，以及边界条件，计算差指点的近似值。(According to a given function node function values, as well as boundary conditions to calculate the approximation of poor advice.)