这本书是有关精通MATLAB的介绍，有相关例子，值得学习

We consider a complex-valued wavefield reconstruction in an object plane from data in a sensor plane. A digital modeling for the forward propagation is presented in the algebraic matrix form M-DDT. The inverse propagation is formalized as an inverse problem. The main algorithm of the complex-valued wavefield reconstruction with the proposed Matrix Discrete Diffraction Transform (M-DDT) is prepared as a Matlab demo.

lpc线性预测编码，合成与分析析，在matlab中实现-lpc (lpc linear predictive coding, synthesis and analysis of the analysis, in-lpc in Matlab)

calculated temperature correction coefficient.

稀疏子空间聚类，利用稀疏自表示模型对数据聚类分析。(Sparse Subspace Clustering(SSC) by self-expressive model)

说明：  很好的matlab模式识别工具箱，帮助大家建立典型的模式识别模式。(Good pattern recognition matlab toolbox to help the U.S. establish a typical pattern recognition model.)

matlab的ct与mri图像融合，以及图片处理等，还有各种资料图片(ct and mri matlab image fusion, and image processing, as well as various profile picture)

用于主成分分析的源码，由例子可以直接了解PCA的步骤方法(Principal component analysis of the source code used by the example of the method can be directly aware of the steps of PCA)

基于最大类间方差阈值与遗传算法的道路分割，是基于最小二乘法的改进(Based on road Otsu threshold segmentation and genetic algorithm is based on the least square method to improve)

这里的７个源代码都是关于自适应噪声滤除技术的，其中包括小波分析，ＬＭＳ，ＲＬＳ，ＮＬＭＳ自适应滤波器，前向神经网络，ＢＰ神经网络自适应除噪-here seven of the source code are adaptive noise filtering technologies, including wavelet analysis, LMS, RLS, NLMS adaptive filter, to the neural network, BP neural network adaptive noise

应用半定松弛解决最大似然复杂度问题，可以高效实现算法求解，提高运算效率，误差最小化。(Efficient Implementation of Quasi-Maximum-Likelihood Detection Based on Semidefinite Relaxation)