beamforming_kuanZERO

初学matlab的教程，比较全面，比较实用，此部分为第三部分。(Matlab beginner tutorial, more comprehensive, more practical, this part of the third section.)

遗传算法（Genetic Algorithm）是模拟达尔文生物进化论的自然选择和遗传学机理的生物进化过程的计算模型，是一种通过模拟自然进化过程搜索最优解的方法。(Genetic Algorithm (Genetic Algorithm) is a simulation of natural selection and genetics of Darwinian biological evolution computational models of biological evolution, the process is a way to search the optimal solution by simulating the natural evolution.)

DC MOTOR SIMULATION USING SIMULINK

在很多图像处理的过程中，需要判别一个图像的清晰度，和图像分割结果的优劣，于是就引出了信息熵的概念，绝大多数时候，它都被用来作为评价图像的一个量化标准。(In many image processing processes, it is necessary to distinguish the clarity of an image and the result of image segmentation, so the concept of information entropy is introduced. Most of the time, it is used as a quantitative standard to evaluate the image.)

自适应滤波算法 可以应用于很多领域 本人用于机动目标跟踪(Adaptive filtering algorithm can be applied to many fields, I used to maneuvering target tracking)

非常实用的Matlab编程手册，内容全面便于工程技术人员查找(Matlab programming manual is very useful, comprehensive and easy to find engineers)

complex wave retrieval of bio-medial image

说明：  用Matlab实现主成分分析（PCA)算法.(Principal component analysis using Matlab implementation (PCA) algorithm.)

混沌理论教材，从不同的角度处理数据，利用最小二乘法消除线性趋势，结果好于差分方法。(Chaos theory textbooks, processing data a different angle, eliminating the use of least squares linear trend, the result is better than the differential method.)

系统论述了滑模变结构控制的基本理论、基本方法和应用技术，并全部给出了MATLAB仿真分析。全书内容涵盖了滑模变结构控制发展综述、连续系统滑模控制、自适应鲁棒滑模控制、欠驱动系统滑模控制、反演及动态面滑模控制、基于滤波器及观测器的滑模控制、离散系统滑模控制、模糊滑模控制、神经滑模控制和机械手滑模控制等。(The basic theory, basic method and application technology of sliding mode variable structure control are discussed systematically, and all MATLAB simulation analysis is given. The book covers the development of sliding mode variable structure control, continuous system sliding mode control, adaptive robust sliding mode control, underactuated system sliding mode control, inversion and dynamic surface sliding mode control, based on the filter and observer sliding Mode control, sliding mode control of discrete systems, fuzzy sliding mode control, neural sliding mode control and manipulator sliding mode control.)