nmf-jianhua

说明：  Adaboost集成学习算法 matlab代码(Adaboost)

基于对称性的车辆识别检测的论文，论文介绍了很多的不同的关于对称性的方法，还有一些研究生毕业论文，值得参看(Based on the symmetry of the detection of vehicle identification papers, the paper introduces a lot of different methods on the symmetry, there are some graduate thesis, worth to see)

关于bpsk调制和解调，进行模拟调制，自行编写绝对正确(About bpsk modulation and demodulation, to simulate modulation, self-preparation is absolutely right)

变频调速系统仿真搭建模型 由于观测仿真波形 记录以及分析实验结果(Variable speed control system simulation build the observation model simulation and analysis of experimental results wave record )

framing speech signals

WiMAX 的基本源程序，所有程序均已证明可以运行(WiMAX basic source code, all procedures have been shown to run)

说明：  双边去噪的matlab源码，效果很好，值得一试(Bilateral denoising matlab source, the effect is very good, worth a try)

均匀介质各向同性二维弹性波数值模拟，采用cerjan边界条件。有公式及参考文献。带有速度模型以及雷克子波函数，解压后直接运行就可以。(The homogeneous medium isotropic two-dimensional elastic wave numerical simulation, using cerjan boundary conditions. formulas and references Sample are added.With the velocity model and the the Ricker wave function, and can be run directly after decompression.)

Texture Analysis Using DWT for Grape Plant Species Classification:- By observing leaf, we can easily identify plant but it is difficult to identify its species. In this project we developed an algorithm that gives user the ability to identify plant species based on photographs of the leaf. The core theme of this application is an algorithm that acquires statistical features of the leaves, and then classifies the species based on a novel combination of the computed texture feature analysis and wavelet analysis. While implementing this algorithm we have considered the Grape plant and its four species viz. Clone, Sonaka, Thomson and Manik. The algorithm is first trained against several samples of known plant species and then used to classify unknown query species. By using this algorithm we have achieved 93.33 efficiency

StdAfx.h for builder a C++ implementation.