Chapter1

一个计算角天线的MATLAB代码，已验证无误，适合初学者用！(A MATLAB code for calculating the angle of the antenna has been verified correct, suitable for beginners!)

利用Matlab生成C/A码的基带/中频信号和P码的基带/中频信号，也就是生成一个完整调制在的L1载波上的信号。 (Using Matlab to generate the C/A code baseband/IF signal and the P code baseband/IF signal, is to generate a complete modulation of the signal in the L1 carrier.)

一些常用函数汇总,便于初学者模范何学习MATLAB的图像处理函数(a collection of functions，a collection of functions，a collection of functions，a collection of functions，)

matlab学习的基础例题，哪本书的记不太清楚了，不过可以准确说这是适合自动化本科生初学matlab的例题。(the based list)

用toplitze 矩阵重构法实现相干信源来波方向估计(using the method of matrix reconsructing to realize the estimation of DOA of coherent singnal)

函数逼近的程序是一元函数的逼近，效果不错(function bijin de chengxu )

说明：  本设计为基于MATLAB特征点匹配的指纹识别系统。带有一个GUI界面。主要对指纹图像进行三方面处理：图像预处理、特征提取和特征匹配。图像预处理包括四个步骤：图像分割、滤波增强、二值化、细化，对指纹图像进行预处理后，去除了原图像的冗余部分，方便后续的识别处理；特征提取主要是提取指纹图像细化后的端点和分叉点；特征匹配是利用两个指纹的图像进行特征点比较，来确定两幅图像是否来自于同一手指。(This design is a fingerprint recognition system based on MATLAB feature point matching. With a GUI interface. Fingerprint image is mainly processed in three aspects: image preprocessing, feature extraction and feature matching. Image preprocessing includes four steps: image segmentation, filter enhancement, binarization and thinning. After preprocessing the fingerprint image, the redundant part of the original image is removed to facilitate the subsequent identification processing; feature extraction is mainly to extract the refined endpoint and bifurcation point of fingerprint image; feature matching is to determine the two images by comparing the feature points of two fingerprint images Is it from the same finger.)

利用MATLAB强大的绘图功能来画一个蜂窝网格状的图形(draw the cellular mesh circle using matlab)

Estimates the power spectral densities (PSDs) using both the generalized Ridge Regression (GRR) method [Hoerl, Kennard] and the ordinary RR method with loading level decided by the harmonic mean (HKB) and a Bayesian estimator (LW) for deciding the diagonal loading level.

find consequences using fuzzy modeling