aggregate-interference-in-cognitive-radio

本程序可用于实现最小均方误差算法 (LMS algorithm)

三冲量控制锅炉水位，三冲量控制锅炉水位三冲量控制锅炉水位(Three-impulse control of boiler water level, the three boilers impulse control impulse control three-level boiler water level)

小波包能量巨程序（已做归一化处理，用于对振动信号提取特征）(Wavelet packet energy giant program (normalization process has been done for the vibration signal feature extraction))

matlaba仿真移相全桥的零电压开通和软关断(dcac-acdc zvs)

可视化matlab程序，经过原作者改进版本！(Matlab visualization process, after the author to improve the version!)

说明：  自己写的一段kalman滤波,非常基础,加入了一致性分析(Himself wrote a kalman filter, very basic, joined the consistency analysis)

能够对所俩种采集的数据，把他们精确的区分开(Can to two of the data collected, and their precise separate)

宽带无线通信系统的发展面临频谱资源有限、传输环境复杂等挑战，而高性能信道编码等物理层关键技术可以有效应对宽带无线通信系统的传输速率与传输质量需求(Development of broadband wireless communication systems faced limited spectrum resources, environment, transport and complex challenges, and high-performance physical layer channel coding and other key technology can effectively deal with broadband wireless communication system transmission rate and transmission quality requirements)

optimal location of capacitor in radial distribution system

说明：  一个双向LSTM程序 Long Short Term 网络—— 一般就叫做 LSTM ——是一种 RNN 特殊的类型，可以学习长期依赖信息。LSTM 由Hochreiter & Schmidhuber (1997)提出，并在近期被Alex Graves进行了改良和推广。在很多问题，LSTM 都取得相当巨大的成功，并得到了广泛的使用。 LSTM 通过刻意的设计来避免长期依赖问题。记住长期的信息在实践中是 LSTM 的默认行为，而非需要付出很大代价才能获得的能力！ 所有 RNN 都具有一种重复神经网络模块的链式的形式。在标准的 RNN 中，这个重复的模块只有一个非常简单的结构，例如一个 tanh 层。(A bidirectional LSTM program Long short term network, commonly known as LSTM, is a special type of RNN that can learn long-term dependent information. LSTM was proposed by Hochreiter & schmidhuber (1997) and recently improved and promoted by Alex graves. In many problems, LSTM has achieved great success and has been widely used. LSTM is designed to avoid long-term dependency. Remember that long-term information is the default behavior of LSTM in practice, not the ability to acquire it at a great cost! All RNNs have a chained form of repetitive neural network modules. In the standard RNN, this repetitive module has only a very simple structure, such as a tanh layer.)