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说明：  介绍了一种纯相位液晶空间光调制器进行波前实时变换的方法(Describes a pure phase liquid crystal spatial light modulator for wave-front method of real-time transformation)

集员仿射投影算法的matlab码源，论文Set-Membership Affine Projection algorithm的仿真程序(Set membership affine projection algorithm)

matlab编写的kmeans均值聚类程序。可以分多类！！(matlab prepared the kmeans mean clustering program. Division multiple class! !)

DC-DC部分采用定功率单环控制，klxUkix参数对于初学者具有参考意义，包含收发两个客户端的链路级通信程序,包含位置式PID算法、积分分离式PID，vwWPfDq条件包含优化类的几个简单示例程序，部分实现了追踪测速迭代松弛算法。( DC-DC power single-part set-loop control, klxUkix parameter For beginners with a reference value, Contains two clients receive link-level communications program, It contains positional PID algorithm, integral separate PID, vwWPfDq condition Optimization class contains several simple sample programs, Partially achieved tracking speed iterative relaxation algorithm.)

matlab的波束成型的程序,好不容易找到的,大家下载啊.(matlab beamforming of the procedure, easy to find and download U.S. ah.)

基于块的解扩重扩多目标算法性能--Block Based RLS De-spread Re-spread Multitarget Array Algorithm and Performance (Block Based RLS De-spread Re-spread Multitarget Array Algorithm and Performance )

摘 　要:阐述了数字滤波器的设计方法 ,分析了运用 MATLAB软件进行 IIR和 FIR数字滤波器设计的过程。 研究 与实践表明:教学中 ,运用 MATLAB软件进行数字滤波器设计及实现 ,可增强学生的感性认识 ,加深对数字滤波器 设计基本原理的理解 ,改善教学效果。(Abstract: This paper describes the design of digital filter methods, analysis of the use of MATLAB software IIR and FIR digital filter design process. Research and practice shows that: teaching, the use of MATLAB software digital filter design and realization of perceptual knowledge to enhance students understanding of the basic principles of digital filter design understanding, enhance the effectiveness of teaching.)

基于滑模变结构控制的混沌系统的同步MATLAB源程序。(MATLAB source based on sliding mode variable structure control of chaotic system synchronization.)

file to extract angle direction of orientation field

BP神经网络：是一种按误差逆传播算法训练的多层前馈网络，是目前应用最广泛的神经网络模型之一。BP网络能学习和存贮大量的输入-输出模式映射关系，而无需事前揭示描述这种映射关系的数学方程。它的学习规则是使用最速下降法，通过反向传播来不断调整网络的权值和阈值，使网络的误差平方和最小。BP神经网络模型拓扑结构包括输入层（input）、隐层(hide layer)和输出层(output layer)。(BP neural network: a Press the front back propagation algorithm to train multilayer feedforward network is one of the most widely used neural network model. BP network can learn and store large amounts of input- output mode mappings without prior reveal mathematical equations that describe this map. It' s learning rule is to use the steepest descent method, through a reverse spread to constantly adjust the network weights and thresholds, so that the minimum squared error of the network. BP neural network topology, including the input layer (input), hidden layer (hide layer) and output layer (output layer).)