PLS_toolbox

使用matlab中仿真实现差分进化算法，可在多目标优化的应用的使用(matlab differential evolution (DE) algorith)

MATLAB关于汽车制动分析 汽车理论 汽车理论 汽车理论(MATLAB analysis on the brake)

PSCAD实例。希望对初学该软件的朋友有所帮助。(PSCAD instance. Hope that friends of the software for beginners help.)

GMM－详细解释－with－Matlab代码(the document of GMM Matlab Code including)

帮你在最短的时间内精通MATLAB7，内含详细讲解！(Help you proficient in the shortest possible time MATLAB7, containing detailed explanation!)

basic dsge model in dynare

研究生数值分析课程考试题型的matlab源程序(Graduate numerical analysis course exam questions matlab source)

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.)

cdma的仿真，介绍了CDMA的各种仿真程序，包括信道的仿真，噪声的处理等。(cdma simulation, describes the various CDMA simulation program, including channel emulation, noise processing.)

说明：  介绍了一种荃于MATLAB数字信号处理工具箱、MATLAB数据分析和MATLAB圈形对 象的时变数字信号瞬时频率枯计方法。这种方法利用时频分析结果来估计信号的麟时频率，其 中涉及时频分析、滤波、曲线拟合辞多种处理过程。处理过程的编程实现封较于用户界面上作 为文互工具的控件中，由用户通过交互界面逐步完成估计瞬时预率的工作.(Tsuen introduced a digital signal processing in the MATLAB toolbox, MATLAB and MATLAB data analysis of ring-shaped object digital signal time-varying instantaneous frequency of dry method. This method using the results of time-frequency analysis to estimate the signal frequency CHU, which involves time-frequency analysis, filtering, curve fitting a variety of speech processing. Programming process to achieve closure on the user interface than the text of each other as a control tool, by the user interface step by step through the completion of pre-estimated instantaneous rate of work.)