matlab-tongjifenxi

Theory and Applications of OFDM and CDMA Wideband Wireless Communications Henrik Schulze and Christian L¨uders Both of Fachhochschule S¨udwestfalen Meschede, Germany

it is matlab dsp programme to find signal overlap

基于matlab 的 dft 的 fft 的 是吸纳(the same as before fft dft )

这个Matlab程序用于计算时域信号的阿伦Allan方差。(The Matlab program used to calculate the time-domain signal Aaron Allan variance.)

MIMO TOOLBox Matlab V2.2

基于RLS算法的波束整形滤波器MATLAB仿真，可直接实用。(failed to translate)

Ordinary and Partial Differential Equation Routines in C, C++, Fortran, Java, Maple, and MATLAB

ICA介绍课件。There has been a wide discussion about the application of Independence Component Analysis (ICA) in Signal Processing, Neural Computation and Finance, first introduced as a novel tool to separate blind sources in a mixed signal. The Basic idea of ICA is to reconstruct from observation sequences the hypothesized independent original sequences(ICA Introduction courseware. There has been a wide discussion about the application of Independence Component Analysis (ICA) in Signal Processing, Neural Computation and Finance, first introduced as a novel tool to separate blind sources in a mixed signal. The Basic idea of ICA is to reconstruct from observation sequences the hypothesized independent original sequences)

曲柄滑块机构运动学分析，角速度，角加速度，速度，加速度(The crank slider Kinematic Analysis )

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.)