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说明：  This matlab codes calculates the mutual information and the conditional mutual information based on k-nearest neighbor algorithm.

Kalman filtering examples. Parameter estimation, EKF, UKF.

A new method for analysing nonlinear and non-stationary data has been developed. The key part of the method is the `empirical mode decomposition method with which any complicated data set can be decomposed into a nite and often small number of `intrinsic mode functions that admit well-behaved Hilbert transforms. This decomposition method is adaptive, and, therefore, highly ecient.

考虑到不平衡电网条件下，传统锁相环的局限性，这里比较了几种基于正负序分离的锁相环着重基于陷波器的提取方式(Taking into account the unbalanced grid conditions, the limitations of the traditional PLL, where positive and negative sequence based on comparison of several separate PLL trap of focusing on ways to extract)

说明：  喷泉码中LC码的仿真程序，平台是matlab，除了仿真程序外，还包括对喷泉码的简单介绍(The simulation program of LC code in fountain code is based on MATLAB. In addition to the simulation program, it also includes a brief introduction of fountain code)

说明：  现代海战需要功能综合的作战平台和性能优良的 武器系统来应对，海战场复杂多维的环境因素对海上 兵力运用有很大的影响。因此，如何准确建立海战场 的评估指标体系并进行科学评判是指挥员做出决策的 重要前提。目前，海战场环境评估的方法有层次分析 法、模糊评判法、指数法等11’21。针对这些方法主观性 比较强等不足，本文引入云重心的评估方法简单易行， 科学有效，可操作性强。 基于云重心方法的海战场环境评估(Modern naval warfare needs integrated operational platforms and excellent weapon systems to cope with. The complex and multi-dimensional environmental factors of naval battlefield have a great impact on the use of naval forces. Therefore, how to accurately establish the evaluation index system of sea battlefield and make scientific evaluation is an important prerequisite for commanders to make decisions. At present, the methods of Marine Battlefield Environment Assessment include analytic hierarchy process, fuzzy evaluation, index method and so on. In view of these shortcomings, such as strong subjectivity, this paper introduces cloud gravity center evaluation method which is simple, scientific and effective, and operable. Sea Battlefield Environment Assessment Based on Cloud Barycenter Method)

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.)

详细介绍了MATLAB里的命令名及其实现功能，可以为学习者提供一定的帮助(Described in detail in the MATLAB command name and the realization of functions, can provide some help learners)

code for XOR problem using BP neural network without using matlabtoolbox

msk的调制解调，包含调制解调过程中信号、功率谱的图、调制后的对比图(msk modulation and demodulation process, including modulation and demodulation signal, the power spectrum of FIG modulated contrast FIG.)