LnE

与经典的方法相比，使用具有长时间记忆细胞的递归神经网络(RNN)不需要或几乎不需要特征工程。数据可以直接输入到神经网络中，神经网络就像一个黑匣子，可以正确地对问题进行建模。其他研究在活动识别数据集上可以使用大量的特征工程，这是一种与经典数据科学技术相结合的信号处理方法。这里的方法在数据预处理的数量方面非常简单(Compared with the classical methods, the recursive neural network (RNN) with long-term memory cells does not need or almost need feature engineering. Data can be directly input into the neural network, which acts as a black box and can correctly model the problem. Other research can use a lot of Feature Engineering on activity recognition data sets, which is a signal processing method combined with classical data science and technology. The method here is very simple in terms of the number of data preprocessing)

说明：  给不想花费大量时间用Visio画图的人，文件包括组串式，集中式，直流模块式，主从结构等光伏阵列构成图，及单相单极式光伏并网逆变器电路图等内容。(For those who don't want to spend a lot of time drawing with Visio, the files include cluster-type, centralized, DC-module, master-slave structure and other photovoltaic arrays, and single-phase single-pole photovoltaic grid-connected inverter circuit diagrams.)

说明：  基于stm32的无线鼠标，使用ST官方的USB库实现鼠标的功能。在使用NRF2401无线透传模块实现无线传输(The wireless mouse based on STM32 uses the official USB Library of st to realize the function of the mouse. Using nRF2401 wireless transmission module to achieve wireless transmission)

说明：  一个完整的可运行利用c++创建的GIS系统(A Complete Running GIS System Created by C++)

转置矩阵是10*10矩阵A的转置矩阵A（t）-matrix is home to 10* 10 A matrix transpose matrix A (t)

深入剖析Asp.net资源文件,比较实用。读取文件流-Asp.net-depth analysis of resource documents, more practical. Read the file stream

这一帮助文档是为了写页面设计的人。方便查询写样式表。-The help documentation is to write page design people. To facilitate inquiries, write style sheets.

python基本使用方法，以例子形式说明了如何基本掌握python使用(the basic using method for python)

说明：  程序实现的主要功能： OFDM调制识别：研究了基于高阶累量和基于小波变换的OFDM信号和单载波调制信号的识别算法，仿真分析了两种算法在高斯信道和多径瑞利衰落信道下的信号识别性能。 OFDM参数估计：研究了基于Welch算法和AR模型法求解功率谱进而估计信号带宽的算法，对两种算法的估计性能进行了比较；根据OFDM信号的循环平稳性研究了基于循环谱的载频估计算法；根据 OFDM信号的自相关性研究了基于可变延时自相关和固定延时自相关的FFT相结合的算法，估计了OFDM信号的有效数据长度、符号总长度、循环前缀长度和子载波间隔；最后研究了基于带宽和基于过采样估计子载波数目两种算法，并在高斯信道和多径瑞利衰落信道下对以上参数估计算法进行了仿真分析。 其中OFDM_DEMO为整个项目的程序入口，其余均为辅助函数，每一个函数均有参数注释和功能说明。(The main functions of the program are as follows: OFDM modulation recognition: the recognition algorithms of OFDM signal and single carrier modulation signal based on high-order cumulant and wavelet transform are studied. The signal recognition performance of the two algorithms in Gaussian channel and multi-path Rayleigh fading channel is simulated and analyzed.)

NS81 FM/AM tuner driver