basebanda

MIMO系统滑模控制实例 让你更好地认识MIMO应用于滑模控制(Sliding mode control instance MIMO system allows you to apply a better understanding of MIMO Sliding Mode Control)

说明：  这是外汇活动中的一种 可以从多种货币的汇率差异中,获得利润(This is one of the foreign exchange activities that can be profited from the exchange rate differences of multiple currencies.)

基于matlab软件的窄带干扰抑制及信号去噪代码(Based on the matlab software narrowband interference suppression and signal denoising code)

QPSK的编译 设定噪声为高斯白噪声，对2ASK、2FSK、2PSK、2DPSK等各种调制方式及相应的主要解调方式下（分相干与非相干）的误码率进行统计，并与理论值进行比较，以图形方式表示误码率与信噪比间的关系。(QPSK compiled Set the noise is Gaussian white noise, right 2ASK, 2FSK, 2PSK, 2DPSK variety of modulation and demodulation mode corresponding to the main (sub-coherent and non-coherent) error rate statistics, and with the theoretical value comparison, a graphical representation of bit error rate and SNR relationships.)

说明：  Ber performance for MIMO using SIC

水下扩频系统研究，本系统采用直接扩频序列方式，在有多径水声信道和无多径的水声信道进行研究比较(Underwater spread spectrum system, the system uses direct sequence spread-spectrum approach, in a number of Acoustic Channel Drive and non-multi-path acoustic channel for the study of comparative)

说明：  基于matlab的QPSK调制与解调程序(QPSK modulation and demodulation)

用于监控PLC，针对的是modbus协议(monitoring PLC with modbus protocol)

第一次作业_基于分类算法的雷达状态识别 对于本数据集中的雷达状态识别，数据降维前使用朴素贝叶斯、支持向量机、神经网络的分类算法对于识别的准确率无太大影响；数据降维后使用神经网络算法最优，支持向量机算法其次，朴素贝叶斯算法较差。此外，训练样本越多，分类准确率有小幅度提高。(First Operation Radar State Recognition Based on Classification Algorithms For radar state recognition in this data set, the classification algorithm of Naive Bayesian, Support Vector Machine and Neural Network before data dimension reduction has little effect on the accuracy of recognition; Neural Network algorithm is the best after data dimension reduction, Support Vector Machine algorithm is the second, Naive Bayesian algorithm is the worst. In addition, the more training samples, the smaller the classification accuracy.)

OFDM系统中，部分传输序列PTS的算法源码((Orthogonal Frequency Division Multiplexing PTS)