data_omp

The OFDM based CODiT model.

pn gold code for spread spectrum

基于相位调制器产生六倍频光毫米波的 OFDM信号光传输系统研究 (A Radio Over Fiber System with Frequency Sextuple Optical Millimeter
Wave Generation Carrying OFDM Signal Utilizing Phase Modulator)

Review chapter about robotics

说明：  matlab 开发用到的各种实例 非常实用 分享(matlab developed a variety of examples used)

matlab code iris data

说明：  基于代理模型的工程设计Example Problems(Example Problems)

用matlab编写的用于转子动力学分析的有限元程序，可实现转子临界转速和振型分析、稳态响应和瞬态响应分析等功能。()

分析橡胶挤出到人工分剪过程中的运动，以适应企业所生产所有规格橡胶为目标；以台达SV2型号PLC为控制核心，采用惠斯通电桥压电式传感器实时采集橡胶重量变化；针对现场加工环境中产生的振动干扰，并分析称重传感器采集到的称重信号；针对分剪系统响应速度与橡胶挤出速度匹配问题导致的不同挤出速度下误差的分布不同，且随着挤出速度的增大导致所分剪橡胶误差也增大的问题，(The movement of rubber extrusion to artificial shearing process is analyzed in order to adapt to the rubber of all specifications produced by the enterprise. Taking the delta SV2 model PLC as the control core and using the Wheatstone bridge piezoelectric sensor to collect the change of rubber weight in real time, the vibration interference produced in the field processing environment and the analysis of the weighing sensor are analyzed. The set of weighing signals; the distribution of errors at different extrusion speeds caused by the matching of the response speed of the shear system to the rubber extrusion speed is different, and the error of the shear rubber increases with the increase of the extrusion speed.)

Author: Xianju Wang Summary: 2 Dimensional Spectral Estimation MATLAB Release: R12 Description: Estimating the power spectrum associated with a random process is desirable in many applications. This package includes four important 2-D spectral estimation methods.(Periodogram, Autorrelation Method, Covariance Method, Modified Covariance Method).(Author : Xianju Wang Summary : 2 Dimensional Spectral Estimation MATLAB Rele ase : R12 Description : Estimating the power spectrum associated with a random process is desirable in many applicati ons. This package includes four important 2-D's pectral estimation methods. (Periodogram. Autorrelation Method, Covariance Method. Modified Covariance Method).)