MATLAB_codes

核密度估计的parzen窗法，简单易用，适合于初学非参数估计的用户。(Kernel Density Estimation parzen window method, easy to use, suitable for novice non-parametric estimation of the user.)

电缆模型函数的绘制程序，包括电缆屏蔽层与地之间的模型(XLPE Cable model)

Digital transmission using 8psk

快速的2D/3D区域生长算法，通过对邻近像素进行优先级排队进行加速，效果优于matlab本身的区域生长算法(Native Matlab implementations of region growing algorithms are usually quite slow, especially for 3D input data. This submission is a mex implementation of a 3D/2D region growing algorithm. The region growing process is further accellereated by using priority queues for the neighbourhood pixels.)

This is toolkit for exact local whittle estimator of degree of fractional integration. Detailed description is included in the .zip file.

基于模糊控制的PID温度控制器的设计 :将模糊控制和PID 控制相结合起来，通过模糊控制实现PID 参数自适应的方法来控制系统温度。这种Fuzzy- PID 策略，模糊控制的采用不是代替PID 控制，而是对传统控制方式的改进和扩展，它既保持了常规PID 控制系统结构简单、使用方便、鲁棒性强、控制精度高的优点，又采用模糊推理的方法实现了PID 参数PK、IK、DK的在线自整定，兼具了模糊控制灵活性、适应性强的特点，相比单纯的任一种控制效果都要好(PID temperature controller design based on fuzzy control: fuzzy control and PID control combine to achieve PID adaptive approach to control system temperature by means of fuzzy control. This Fuzzy- PID strategy is not to replace the use of fuzzy control PID control, but the traditional control methods to improve and expand, both to maintain a simple and conventional PID control system structure, easy to use, robust, and high control accuracy advantages, but also the use of fuzzy inference PID parameters to achieve the PK, IK, DK-line self-tuning, both the fuzzy control flexibility, adaptability features, compared to simply have a good control effect either)

多机动模型PHD滤波算法，可以跟踪多个机动目标。自己编写的(multiple maneuvering targets tracking)

用于计算射线声学声线,来找到所有声线中我想要的声线(to find the best acoustic line all )

说明：  轮式移动机器人的避障，可以实现机器人在约束环境中的期望运动(Wheeled mobile robot obstacle avoidance can be achieved in the constrained environment of the robot s expectations Movement)

一个采用Matlab编写的设计FIR滤波器的教程和源代码，便于新手学习设计滤波器和数字信号处理。(a Matlab design prepared by the FIR filter guide and source code, newcomers to facilitate learning how to design filters and digital signal processing.)