QPSK

有关 层次分析法的 小程序 有需要下载 请下载 (The analytic hierarchy process (ahp) of small programs)

matlab based code filter_Butter

Model order reduction description and its implementation in Matlab

现代谱估计，较传统的经典功率谱估计，在分辨率和估计正确程度上有了一定的提高(AR estimate of spectrum)

MATLAB Tutorial This tutorial is available as a supplement to the textbook Fundamentals of Signals and Systems Using Matlab by Edward Kamen and Bonnie Heck, published by Prentice Hall. The tutorial covers basic MATLAB commands that are used in introductory signals and systems analysis. It is meant to serve as a quick way to learn MATLAB and a quick reference to the commands that are used in this textbook. For more detailed information, the reader should consult the official MATLAB documentation. An easy way to learn MATLAB is to sit down at a computer and follow along with the examples given in this tutorial and the examples given in the textbook.

傅里叶级数变化，进行信号的分析预处理，同时完成基本的傅里叶变化，对信号处理有很多作用(Fourier series change, the analysis of the signal preprocessing, while completing the basic Fourier transform, there are many effects on signal processing)

这本书是我国著名的方开泰教授最新出版的一本关于试验设计的书籍，其中总结了其研究的最新成果，也代表了国际相关研究的最新动态，是相关研究人员的重要参考书籍。(This book is a famous Professor Fang recently published a book on experimental design books, which summarizes the latest results of their research, but also represents the latest developments in international studies and is an important reference for researchers related books.)

关于matlab中simulink模块最详细的使用教程。包括每个模块的生成、设置、布局连线等等。非常详细。(On the use of MATLAB Simulink module in the most detailed tutorial. Including build, Setup, layout of the wiring each module, and so on. Very detailed. )

采用L-M优化算法用以训练BP神经网络，使其能够拟合某一附加有白噪声的正弦样本数据。设计一个三层BP神经网络，其网络的隐含层神经元的激励函数为双曲正切型，输出层各神经元的激励函数为线性函数，隐含层有6个神经元(LM optimization algorithm used to train BP neural network to enable it to fit a white noise, sine additional sample data. Design a three BP neural network, its network of hidden layer neuron activation function of hyperbolic tangent type for the output layer activation function of each neuron is a linear function of the hidden layer has 6 neurons)

The software uses number of times statistics , the online number to count