nonliear_SVM

旁瓣相消Sidelobe cancellation，抑制杂波，尤其在杂波较信号较强的情况下(Sidelobe cancellation Sidelobe cancellation, clutter suppression, especially in the strong clutter signal where more)

Matlab examples of "Multi sensor data fusion with Matlab" Book

基础的doa代码，基于基本的music算法，简单易懂，适合初学者对music算法的理解，吐血推荐，希望对大家有所帮助。(basic music on doa.)

scara robot matlab implementation

最原始的灰色预测，matlab程序，可直接使用(Most original gray forecast, matlab program, can be used directly)

qpsk位同步源程序 包括调制解调及信道加噪等(qpsk bit synchronization source, including modulation and demodulation and channel plus noise, etc.)

一维MUSIC算法的Matlab程序，可以仿真，很好用(One-dimensional MUSIC algorithm in Matlab)

运用matlab对ofdm的原理进行仿真，高效仿真验证ofdm的基本原理(ofdm basic principa)

基于语音增强程序的相关基本程序代码实用性强(speech enhancement based on the procedures related to the basic program code practicability)

Photos with people (e.g., family, friends, celebrities, etc.) are the major interest of users. Thus, with the exponentially growing photos, large-scale content-based face image retrieval is an enabling technology for many emerging applications. In this work, we aim to utilize automatically detected human attributes that contain semantic cues of the face photos to improve contentbased face retrieval by constructing semantic codewords for efficient large-scale face retrieval. By leveraging human attributes in a scalable and systematic framework, we propose two orthogonal methods named attribute-enhanced sparse coding and attributeembedded inverted indexing to improve the face retrieval in the offline and online stages. We investigate the effectiveness of different attributes and vital factors essential for face retrieval. Experimenting on two public datasets, the results show that theproposed methods can achieve up to 43.5 relative improvement in MAP compared to the existing methods.