histo_Y_100000

最小距离分类器，matlab环境下，可直接调用(Minimum distance classifier, matlab environment, can be directly invoked)

Simulates MPSK Modulator/Demodulator. Simulink Platform - Matlab 7.0

基于最小均方误差准则的LMS算法对淹没在噪声中的信号进行的有效的提取.(based on the minimum mean square error criteria LMS algorithm drowned in the noise signal the effective extraction.)

Metodo newton raphson y bisección

利用自然梯度算法，采用的是通用的平面波展开法,可以得到很精确的幅值、频率、相位估计。( Use of natural gradient algorithm, Using common plane wave expansion method, You can get a very accurate amplitude, frequency, phase estimation.)

MATLAB数字信号处理里面的源代码和课件

balanis antenna code part3

Optimal filtering with Kalman filters and smoothers – a Manual for Matlab toolbox EKF/UKF

做毕设用到的关于mimo-ofdm信道估计(Complete set used to do on the mimo-ofdm channel estimation)

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.