paiboxinhao

Matlab code for OBMC Coding!!

vb插值首先论述了VC和MATLAB各自的优缺点，然后提出了VC与MATLAB混合编程的三种方法。并详细阐述了如何通过基于动态链接库(DLL)实现VC和MATLAB混合编程的技术(vb interpolation first discusses the advantages and disadvantages of each VC and MATLAB, MATLAB and then propose a VC and three methods of mixed programming. Described in detail how the dynamic link library (DLL) to achieve mixed VC and MATLAB programming techniques)

此程序用于场生著名的非线性动力系统Henon 混沌序列， 并做出他的状态空间重构图.(It is used to construct dominant Henon map. and figure it.)

用频率采样法设计FIR低通滤波器，本科生毕业设计用(Undergraduate graduation design with low-pass filter design FIR frequency sampling method,)

高端的离散时间傅里叶变换计算当然是你必不可少的需要(Discrete-Time Fourier Transform Computation )

Sparse Bayesian Learning

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.)

Matlab 6.5 finding is it a signal a FSK modulated.

Implementations of Kalman Filter using both message passing algorithm and standard matrix operations

说明：  直接序列扩频通信，完整系统,包括伪随机码产生，扩频，调制，加噪，解调，解扩等(Spread Spectrum System)