PRJ_1_New

本程序是利用matlab中的函数设计滤波器，并进行频谱分析的m文件，有助于对数字滤波器的理解。(This procedure is to use matlab s function in the design of filters, and spectral analysis of m documents, contribute to the understanding of the digital filter.)

some simulink mas + onduleur (some simulink mas+ onduleur )

介绍matlab的各种作图命令，及一些相关的典型的作图实例，对初学者有很大的帮助(Introduced a variety of mapping matlab command, and some examples related to the typical plot, a great help for beginners)

public interface CallbackHandler for Andriod.

实现超指数盲均衡算法，隐含了信号的高阶累积量信息 (realize the SEI equalization algorithm and uses the high order cumulates of signals)

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.

Support for AltoBeam GB20600 (a.k.a DMB-TH) demodulator ATBM8830, ATBM8831.

vc和matlab混合编程，在vc中调用matlab的函数进行计算和处理，本程序中调用了matlab图像处理函数打开图像并进行灰度处理(vc and matlab mixed programming, matlab function calls are calculated and processed in the vc, the program calls the matlab image processing function to open and grayscale image processing)

一种改进的粒子群算法，进行多峰条件下的最值寻优，实测可行。(a improved PSO algorithm for tracking the best value)

Here is a matlab code for describing the effect of shadowing in the wireless channel