inv_chongfu

说明：  通信始祖山农的1948年的通信开山之作，通信系统的数学理论，具有理论研究意义(Communication before the communication 1948 Zu Shannong pioneer for, the mathematical theory of communication systems, with significant theoretical research)

M/M/K的计算机仿真，排队系统是一种比较典型的离散动态系统，按照规定，它的仿真必然涉及到时间的表示，事件驱动的表示。这里我们采用静态的仿真思想实现M/M/1的计算机仿真。(M/M/K of the computer simulation, queuing system is a typical discrete dynamic system, in accordance with the regulations, it necessarily involves the simulation of time that the event-driven representation. Here we use a static ideology M/M/1 simulation computer simulation.)

说明：  关于机动目标跟踪的α，β滤波算法，需要调用模型函数，自己编写一个简单的就可以。(Maneuvering target tracking on the α, β filtering algorithm, the need to call the model function, I have written a simple can be.)

说明：  分析并设计kalman滤波器，应用其对航天器得飞行状态量进行实时估计，得到较为准确的状态参量，(Kalman filter analysis and design, application of their spacecraft in real time the amount was estimated flight to get a more accurate state parameter,)

此程序主要是详细给出了在matlab中如何求解信号的fft，包括功率谱，功率谱密度，幅度谱；(This procedure is given in detail how to solve the signal in matlab fft, including power spectrum, power spectral density, amplitude spectrum )

子程序，将QAM符号向量d0_J映射为二进制符号矩阵gry(Subroutines, will QAM symbol vector d0_J the mapping matrix for the binary symbols gry)

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.)

基于互信息量法求出的时间延迟结合cao法求取Rossler系统的嵌入维数。(Cao method slove embed_m questions.)

Classification of ictal and seizure-free EEG signals using fractionallinear prediction

C-C法求混沌系统的延迟时间，该程序是C-C法的函数文件，已测试，可运行多种数据，运行时间快(The C-C method seeks the delay time of the chaotic system. The program is a function file of C-C method. It has been tested and can run many kinds of data.)