(M-file)Sample_Uniform_2

用包络解调的方法解调ＡＭ的已调信号，解调过程要比一般的相干解调方便很多．(Use envelope demodulation methods have tune AM demodulation signal demodulation process than ordinary coherent demodulation convenience.)

数学公式模型的仿真，在matlab环境下把公式的图像做出来(The simulation model of mathematical formula, the formula in the matlab environment out of the image do)

采用Matlab编写的有限元方法，效果非常好(prepared by the Matlab finite element method, the effect was very good)

PAPR OFDM clipping and filtering

m=8时双极性八电平可调 信噪比 差错估计(m = 8 时 bipolar eight-level adjustable noise ratio error estimated)

Calmodel for Benchmark

线性调频模糊度函数，是个很好的程序 供初学者学习，使用(Ambiguity function of linear frequency modulation, is a very good program For beginners to learn and use)

In machine learning, support vector machines (SVMs, also support vector networks[1]) are supervised learning models with associated learning algorithms that analyze data and recognize patterns, used for classification and regression analysis. Given a set of training examples, each marked as belonging to one of two categories, an SVM training algorithm builds a model that assigns new examples into one category or the other, making it a non-probabilistic binary linear classifier. An SVM model is a representation of the examples as points in space, mapped so that the examples of the separate categories are divided by a clear gap that is as wide as possible. New examples are then mapped into that same space and predicted to belong to a category based on which side of the gap they fall on.

一个进行C++和matlab混合编程的程序，可以实现c++调用matlab，虽是一个简单的例子但是却会让你学会VC、matlab混合编程的强大(One for C++ and matlab mixed programming procedures can be achieved c++ calling matlab, although a simple example but it makes you learn to VC, matlab powerful Hybrid Programming)

This is a code to determine the pitch period of voiced speech.