AGuidetoMATLABforBeginnersandExperiencedUsers-Hun

卡尔曼滤波方法及其在变形监测中的应用,讲述了其原理及应用 (Kalman filter and its applications in deformation monitoring)

四节点等参元的matlab程序，可用于平面单元的有限元计算(four_node_quadrilateral_isoparametric_element matlabcode)

This is a goertzel filter in Simulink, it decodes DTMF tones and displays the detected numbers.

main_IS95_forward.m 此函数用于IS-95前向链路系统的仿真，包括卷积编译码、扩频调制，匹配滤波，RAKE接收等相关通信模块。 仿真环境: 加性高斯白噪声信道. 数据速率 = 9600 KBps (main_IS95_forward.m This function is used to forward link IS-95 system simulation, including the convolution encoding and decoding, spread spectrum modulation, matched filter, RAKE receiver, and other related communication module. Simulation environment: additive white Gaussian noise channel. Data rate = 9600 KBps)

查分进化算法，一种新兴的优化计算方法，算子，流程，基本原理.(Differential evolution algorithm)

说明：  高频段高，低，陷波滤波器的全套，里面有详细的例子和说明。电子科技大学电子工程学院版权(all things to design filters,such as high-frequency,bandpass,lowpass.UESTC copyright)

Setup the Raspberry Pi to work with Matlab. Check out the Matlab Hardware Support Package documentation. This GUI based program will automatically connect to the Raspberry Pi if already configured. It shows the Pin logic values in color. The Pin headers P1 and P5 are shown exactly as on the Raspberry Pi. Additionally, it shows the actual location of the Pin Header on the Raspberry Pi. Pin direction can be set to INPUT or OUTPUT by clicking on the side buttons. Directly clicking on the Pins will change the status on the Raspberry Pi. Pin statuses are shown live. NB: This program won t work with new Raspberry Pi Model B+.

基于matlab的智能交通系统 可以进行运动车辆的检索和追踪(Intelligent transportation system based on matlab can search and track moving vehicles)

在主/被动雷达双传感器目标跟踪背景下, 提出一种基于IMM- UKF 滤波的加权数据融合算法。(A data fusion algorithm using IMM-UKF is presented based on active/ passive radar target tracking. The algorithm is established in terms of IMM( interact ing mult iple model) and UKF( unscented Kalman filter) .)

说明：  MATLAB编写的经典粒子群程序，实现最基本的函数优化功能。(MATLAB program written in the classical PSO, to achieve the most basic function optimization.)