Fuzzy-Logic-using-MatLab

面阵波束形成 两种方法 三维指向性 直接运行(Planar array beamforming methods of three-dimensional directional direct running)

文中介绍了传统的PID控制原理，PID分为位置式和增量式，计算机控制是数字PID控制。一些 改进的PID控制算法是针对实际应用中的不足提出的，如积分分离式PID控制算法，抗 积分饱和算法，变速积分算法等，实际应用中，控制又分为简单PID控制和串级PID控 制，对一些典型的控制算法，选用典型控制对象用MArLAB软件进行了对应仿真。对仿 真结果进行了对比分析，说明了改进算法的作用。(This paper introduces the principle of the traditional PID control, PID into position and incremental, computer-controlled digital PID control. Some improvements in the PID control algorithm is less than the practical application of the proposed, such as discrete integral PID control algorithm, anti-integral saturation algorithm, changing integration algorithm and so on, practical application, the control is divided into a simple cascade PID control and PID control , for some typical control algorithm, selection of a typical control object MArLAB software with the corresponding simulation. The simulation results of comparative analysis carried out to illustrate the role of the improved algorithm.)

matlab code for M-code LaTeX Package

For some fnc to graphics

说明：  Maximum likelihood Identification system

step response in RC filter

说明：  3个图像去噪matlab程序，有详细的中文说明，希望对大家有帮助(3 denoising matlab program, a detailed explanation in Chinese, we want to help)

MPLAB_C18_C_编译器入门 MPLAB_C18_C_编译器入门(MPLAB_C18_C_ MPLAB_C18_C_ Compiler Compiler Getting Started Getting Started)

Compressive sampling is an emerging technique that promises to effectively recover a sparse signal from far fewer measurements than its dimension. The compressive sampling theory assures almost an exact recovery of a sparse signal if the signal is sensed randomly where the number of the measurements taken is proportional to the sparsity level and a log factor of the signal dimension. Encouraged by this emerging technique, this thesis briefly reviews the application of Compressive sampling in speech processing. It comprises the basic study of two necessary condition of compressive sensing theory: sparsity and incoherence. In this thesis, various sparsity domain and sensing matrix for speech signal and different pairs that satisfy incoherence condition has been compiled.

as matlab is in built tool