guidao

自己编的，基于自适应噪声对消的语音增强新算法(Own, based on adaptive noise cancellation of the new algorithm for speech enhancement)

real time object tracking using matlab and simulink

Signal subspace identification is a crucial first step in many hyperspectral processing algorithms such as target detection, change detection, classification, and unmixing. The identification of this subspace enables a correct dimensionality reduction, yielding gains in algorithm performance and complexity and in data storage. This paper introduces a new minimum mean square error-based approach to infer the signal subspace in hyperspectral imagery. The method, which is termed hyperspectral signal identification by minimum error, is eigen decomposition based, unsupervised, and fully automatic (i.e., it does not depend on any tuning parameters). It first estimates the signal and noise correlation matrices and then selects the subset of eigenvalues that best represents the signal subspace in the least squared error sense. State-of-the-art performance of the proposed method is illustrated by using simulated and real hyperspectral images.

MICROSOFT FOCUS COBOL VERSION 3.0 COMPLIER

matlab 50道练习题，有助于新手快速提高编程和应用能力(matlab 50 道 exercises to help novice programming and ability to rapidly improve)

讲述了基于matlab的排爆机器人的控制与仿真，具有较好效果(About the control and simulation matlab-based EOD robot, with good results)

This paper presents harmonic detecting method for a shunt hybrid active filter using adaptive filter. An adaptive noise canceling theory has been applied as a harmonic detection system to determine a harmonic reference signal for controlling an active filter inverter.

使用matlab语言，基于递推极大似然法，进行系统辨识(Maximum likelihood method based on recursive system identification)

TIME REVERSAL TECHNIQUE COMBINED WITH OFDM/OQAM IN MISO SYSTEM

pca matlab 人脸识别，靠，怎么上传个文件还这么烦，我倒！我晕！(face recognition pca)