signal preprocessing

附件中的m代码包括了一系列的拟合函数，这些函数通常的输入是概率分布的样本。还有最大似然估计仿真器、最小平方仿真器、混合高斯分布估计的EM算法、(M in the annex to the code, including a series of fitting function, which function normally is the probability distribution of input samples. There are maximum likelihood estimation simulator, emulator least squares, mixed-Gaussian distribution is estimated that the EM algorithm,)

Hadamard Transform for PAPR reduction in OFDM

hht工具箱,Hilbert-Huang (HHT) 轉換方法是黃鍔根據近代知名數學家Hilbert 的數學理論設計，做爲分析非穩定或非線性的訊號,修正toimage.m函数(HHT toolbox)

low pass filter, this program can be to use how we can see a filter is worked

说明：  matlab学习宝典 数据分析 matlab学习宝典(matlab Baodian learning to learn data analysis matlab Baodian)

说明：  直流潮流,可知直接根据节点信息算直流潮流，很牛逼的(DC powerflow DC powerflowDC powerflowDC powerflowDC powerflowDC powerflowDC powerflowDC powerflow)

本程序为基于RBF神经网络上界自适应学习的滑模控制，适用于实际无法测量上界值的情况。(This procedure is based on the RBF neural network to learn the upper bound of adaptive sliding mode control, can not be applied to the actual measurement of the upper bound values.)

M2M4算法仿真。频谱感知中，对接收信号进行背景噪声方差估计(M2M4 algorithm. estimate the floor noise variance)

PID参数的整定就是合理的选择PID三参数。从系统的稳定性、响应速度，超调量和稳态精度等各方面考虑问题，三参数的作用如下：(PID parameter setting is the reasonable choice of three parameters of PID. From the system stability and response speed, overshoot and steady state accuracy and so on various aspects to consider problem, the role of the three parameters are as follows:)

调制识别是非协作通信中的关键技术之一，在电子对抗、软件无线电等领域 应用十分广泛。该过程介于信号检测与解调之间，由于对传输信号没有过多的先 验信息以及在接收端有很多未知的参数，例如：信号功率，载波频率和相位偏移， 时间信息等，导致对调制方式的盲识别是一项很困难的任务。此外，实际中存在 多径衰落、频率选择性和时变信道等问题，使得这项任务变得更具有挑战性。 (The modulation recognition is one of the key technologies of the non-cooperative communication, such as electronic countermeasures and software defination radio, therefore it is such a significant discipline and orientation in the research of communication field. Obviously, without enough knowledge in transmitter and verified parameters about receivers, for example signal power, carrier frequency and phase offsets and so force, it is hard to get the modulation of blind identification. What is more, for the sake of the multipath fading, frequency-selective and time-varying channels in the real scenarios the task is even harder. )