OOKmodulationdemodulation

窄带信号単快拍测向 通过平滑 提高信噪比 (Narrowband signals and single-snapshot direction finding Improve the signal to noise ratio by smoothing)

Star, rhombus in neatbeans.

Title: Noise and Vibration Analysis: Signal Analysis and Experimental Procedures Volume: Author(s): Anders Brandt Series: Periodical: Publisher: Wiley City: Year: 2011 Edition: 1 Language: English Pages: 445 ISBN: 0470746440, 9780470746448 (Noise and Vibration Analysis is a complete and practical guide that combines both signal processing and modal analysis theory with their practical application in noise and vibration analysis. It provides an invaluable, integrated guide for practicing engineers as well as a suitable introduction for students new to the topic of noise and vibration. Taking a practical learning approach, Brandt includes exercises that allow the content to be developed in an academic course framework or as supplementary material for private and further study.Addresses the theory and application of signal analysis procedures as they are applied in modern instruments and software for noise and vibration analysisFeatures numerous line diagrams and illustrationsAccompanied by a web site at www.wiley.com/go/brandt with numerous MATLAB tools and examples.Noise and Vibration Analysis provides an excellent resource for researchers and engineers automotive, aerospace, mechanical, or electronics industries who work)

用拖布列兹MUSIC估计来波方向，及对数据协方差矩阵斜对角线上的元素进行平均再DOA估计(Using drag Boulez the MUSIC estimated to wave direction, and the average re-DOA estimated data covariance matrix oblique diagonal elements)

用matlab实现WGS84到北京54高斯坐标转换的GUI实现(Matlab to Beijing WGS84 54 gaussian coordinate transformation GUI realized)

语音识别系统matlab仿真的识别界面程序(Identification of the speech recognition system matlab simulation interface program)

matlab/GUI界面编程从入门到精通，适合初学者(Matlab/GUI interface programming, from entry to master, suitable for beginners)

针对SVM法线特征筛选算法仅考虑法线对特征筛选的贡献,而忽略了特征分布对特征筛选的贡献的不足,在对SVM法线算法进行分析的基础上,基于特征在正、负例中出现概率的不同提出了加权SVM法线算法,该算法考虑到了法线和特征的分布.通过试验可以看出,在使用较小的特征空间时,与SVM法线算法和信息增益算法相比,加权SVM法线算法具有更好的特征筛选性能.(Normal feature selection for SVM algorithm only considered normal for the contribution of feature selection, to the neglect of the characteristics of the distribution of feature selection have contributed to the lack of normal SVM algorithm based on the analysis, based on the characteristics of the positive and negative cases emergence of a different probability-weighted normal SVM algorithm, which takes into account the distribution and characteristics of normal. through the test can be seen in the use of smaller feature space, the normal and the SVM algorithm and information gain algorithm, normal weighted SVM algorithm has better performance of feature selection.)

文件为一些实用的函数实现,其中包括小波,复制,剪切,粘贴,一年中的第几天,一个过程所需的总天数等等.(Documents for some useful function.Including wavelet, copy, cut, paste, a year in the first few days, a process required for the total number of days and so on.)

This part implements the copypaste forgery detection.