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MIMO systems with efficient sum rate analysis

说明：  实现风速拟合威布尔分布参数估计及ARMA预测，MATLAB可运行。。。。。(Wind speed fitting Weibull distribution parameter estimation)

ONVIF的测试工具12.06版本,测试是否支持ONVIF协议及其他.(12.06 version of ONVIF test tool, test to support ONVIF protocol and other.)

对当前通信信号中常用的数字调相信号BPSK、QPSK、1／4一QPSK、8PSK的调制识别问题，提出了一种基于信号差分高阶累积量的识剐算法。该算法分两个层次进行调制识别，首先利用信号的四阶累积量特征对BPSK、QPSK和{1／4一QPSK、8PSK}信号进行识别，然后再利用信号差分的四阶和八阶累积量特征对1/4-QPSK、8PSK信号进行识别。从理论上分析了的该算法的有效性，并通过计算机仿真验证了算法具有良好的性能。(A recognition algorithm based on differential high-order cumulant is proposed for the modulation recognition problems of BPSK, QPSK, 1/4-QPSK and 8PSK, which are commonly used in current communication signals. The algorithm is divided into two levels for modulation recognition. Firstly, BPSK, QPSK and {1/4-QPSK, 8PSK} signals are identified by using the fourth-order cumulant characteristics of signals, and then 1/4-QPSK and 8PSK signals are identified by using the fourth-order cumulant and eighth-order cumulant characteristics of signal difference. The validity of the algorithm is analyzed theoretically, and the good performance of the algorithm is verified by computer simulation.)

MIMO-OFDM信道估计，用于最小二乘法和线性最小均方估计方法的性能比较(MIMO-OFDM channel estimation for the linear least squares method and the least square method estimates Performance Comparison)

采用卡尔曼滤波器对系统的俯仰角、 滚转角和航向角的误差进行最优估计；设计数据融合的判别准则，并根据判据的判断结果调整卡尔曼 滤波器中的量测信息，使系统可用于小型无人机的定高自主飞行(Kalman filter system pitch angle, roll angle and yaw angle error optimal estimation design data fusion criterion, and adjust according to the criterion of judging the results of measurement in the Kalman filter, making the system set high for small UAVs autonomous flight)

HART Communication Foundation - Block Data Transfer Specification

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.)

说明：  一篇很好的关于OFDMA系统无限资源调度的论文，有介绍分配的算法.(A good system of unlimited resources on the OFDMA scheduling of papers have introduced the distribution algorithm.)

AWGN信道的代码，实现简单易懂，用C写的(AWGN channel code is simple to understand, written in C)