LTE--channel_models

DDS实验 matlab 与quartus 的完美结合(DDS experimental combination of matlab and quartus)

matlab毕业编程【谷速软件】彩色图像边缘检测 可以作为参考使用，程序是word版本 (Graduation matlab software programming speed [Valley] color image edge detection can be used as a reference, the program is a word version)

An implementation of Loy and Zelinski s fast radial feature detector

自己编写的自适应控制程序，包括代码和simulink仿真模型。(His writing the adaptive control program, including code and simulink model. )

该代码为基于灰色神经网络的预测算法，里面数据累加作为网络输入(The code is based on the gray neural network prediction algorithm)

说明：  利用FFT频谱，包络谱，以及谱峭选频滤波的方法，在时间线下诊断故障。(Using FFT spectrum, envelope spectrum, and spectral selection filtering method, fault diagnosis under the timeline.)

Introduction to matlab at MIT 麻省理工大学的matlab基本教程(Introduction to matlab at MIT Massachusetts Institute of Technology University of basic tutorial matlab)

能够屏蔽文件中一些禁用语，能够设置某些语言(Be able to document some of mask to disable language, be able to set some languages)

说明：  ：针对PID参数复杂烦琐的整定过程这一问题，基于MATLAB／Simulink仿真环境，模拟工程稳 定边界法的PID参数整定策略和步骤，提出了一种简单有效的PID参数整定方法．与通常的整定方法 比较，其优点是非常直观、完全可视化操作、省去了编程的工作量．仿真结果表明该方法具有良好的收 敛性，使得控制系统动态性能得到有效改善，并且很大程度上减少了工作量．(Abstract：The process of PID parameters turning is complicated and time—consuming to engi— neering technician．To solve this problem．simulating the Z～ N method of engineering turn— ing，based on the MATLAB／simulink，a simple and eficient method for PID parameters turning is presented in this paper．Compares with the general methods，it has many advanta— ges，such as simplicity，visual manipulation，leaving out the workload of program and SO on． The simulation results show the effectiveness of this method and be fit for application in the engineering．)

This is a GUI based system. The GUI is invoked from the command line by typing "ui_start". The GUI is self explanatory. Tool tips are given in blue color. The cursor needs to be positioned on these for detailed explanation. The main file is "runsim.m".It is recommended that 10000 runs (packets) be used for plotting frame error rates and 5000 runs for BER/SER. Obviously, you would require a fast machine!!! At least a P4 machine. We have used trace criterion for 4PSK states 4,8 and 16 as an example for 2x2 cases. The reader can use rank and determinant criteria, by commenting the trace criterion lines and copying the rank and determinant lines from the respective 2x1 cases. The SNR range can be varied by correcting the range at line 36 of file "runsim.m". This software has been tested with MATLAB version 6.0 and above with signal processing and communications toolbox options. (This is a GUI based system. The GUI is invoked from the command line by typing " ui_start" . The GUI is self explanatory. Tool tips are given in blue color. The cursor needs to be positioned on these for detailed explanation. The main file is " runsim.m" . It is recommended that 10000 runs (packets) be used for plotting frame error rates and 5000 runs for BER/SER. Obviously, you would require a fast machine!!! At least a P4 machine. We have used trace criterion for 4PSK states 4,8 and 16 as an example for 2x2 cases. The reader can use rank and determinant criteria, by commenting the trace criterion lines and copying the rank and determinant lines from the respective 2x1 cases. The SNR range can be varied by correcting the range at line 36 of file " runsim.m" . This software has been tested with MATLAB version 6.0 and above with signal processing and communications toolbox options.)