lteasemlab

this code is mainly based on colour variance......

isdn mdel source code

基于 Ma t l a b语言的遗传算法工具箱支持二进制和浮点数编码方式， 并且提供了多种选择、 交叉、 变异的方法。 通过具体实例对 Ma t l a b的遗传 算法工具箱的用法进行 了说 明介绍. 已通过测试。 (Binary and floating-point encoding genetic algorithm based on Ma tlab language toolbox support, and provides a variety of options, cross-variation method. Through concrete examples of the Ma tlab genetic algorithm toolbox usage instructions describe. Has passed the test.)

OFMD通信系统的MATLAB程序，也是其基本框架。( 翻译 英语 中文 德语 检测语言 中文(简体) 英语 日语 OFDM通信系统的MATLAB程序 OFDM communications system MATLAB program)

Fourie series. Waves with sines and cosines. Square wave, sawtooth wave, etc. Very usefull.

Buck-Boost电路建模、仿真程序，输出波形有效，效果良好。(Buck-Boost circuit modeling, simulation program, the output waveform is effective to good effect.)

Spectral Correlation of Modulated

说明：  关于改进的DLDA的算法，结合了人脸识别(DLDA on the improvement of the algorithm, a combination of face recognition)

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.

对MFO的exploration和exploitation进行改进，提高算法效率(Improved MFO exploration and exploitation to increase algorithm efficiency)