registration

利用正弦信号作为发射信号，分别在AWGN和瑞利信道中，计算CR中的检测概率和虚警概率，并绘图。(Sinusoidal signal as transmitted signal, respectively, in AWGN and Rayleigh channel, calculate the probability of detection and false alarm probability of CR and drawing.)

matlab下logistic分叉图 (matlab下logistic分叉图)

matlab lecture note 1. KAIST made.

光纤陀螺输出误差的allan方差分析，使用的matlab仿真软件以及实际陀螺采样的数据进行分析。详细分析了5个误差的大小及其拟合曲线(FOG output error of the allan variance analysis, the use of matlab simulation software as well as actual gyroscope data sample for analysis. A detailed analysis of the size of error of 5 and its fitting curve)

this source code is good

三电平三相桥式逆变器的SVPWM控制方式仿真（应用S函数）(Three-level three-phase bridge inverter SVPWM control simulation (Application S function))

矢量控制是目前交流电机的先进控制方式，一般将含有矢量变换的交流电机控制都称 之为矢量控制，实际上只有建立在等效直流机模型上，并按转子磁场准确定向的控制，电机才能获得最优的动态性能。 矢量控制的基本思路是以产生相同的旋转磁动势为准则，将异步电机在静止三相坐标系上的定子交流电流通过坐标变换等效成同步旋转坐标系上的直流电流，分别加以控制，以达到直流电机的控制效果。(Vector control is an advanced control method of AC motor at present. Generally, vector control is called vector control. In fact, only based on the equivalent DC motor model and accurately oriented control according to the rotor magnetic field, can the motor obtain the optimal dynamic performance. The basic idea of vector control is to generate the same rotating magnetomotive force as the criterion. The stator AC current of asynchronous motor in the static three-phase coordinate system is converted into DC current in the synchronous rotating coordinate system by coordinate transformation, and then controlled separately to achieve the control effect of DC motor.)

说明：  基于动态规划算法对混合动力汽车能量管理策略建模后进行问题计算(Problem calculation of hybrid electric vehicle energy management strategy based on dynamic programming algorithm)

这是基于matlab的电路仿真,程序是自己改写的,还不多,希望大家多多交流.(This is based on Matlab circuit simulation, the process is write, and do not, We hope to conduct more exchanges.)

在认知无线电中，频谱感知频谱分配是两个主要问题，而动态频谱接入是理解频谱感知的关键。(In CR, spectrum sensing and spectrum allocation is the major problem, but the dynamic spectrum access is the key to understand spectrum sensing.)