Enhanced-Video-Coding

本文阐述了运用平面波展开法研究光子晶体带隙结构的整个过程，并附有MATLAB程序(This paper describes the use of the plane wave expansion method photonic band gap structure of the whole process, together with the MATLAB program)

最小二乘是广义预测的基础知识，学习最小二乘有利于学习广义预测控制(Generalized least squares is predicted on the basis of knowledge, learning conducive to learning generalized least squares predictive control)

桌红外图像特征提取方法研究。基于模糊核主成分分析的高光谱遥感影像特征提取研究。(Table infrared image feature extraction method.)

基于独立分量分析的语音信号盲分离算法，采用matlab编程，程序共593行(Based on independent component analysis (ica) speech signal separation algorithm, based on matlab programming )

基于lcL滤波器的三电平有源电力滤波器（APF）的仿真设计，包括（谐波检测， 电流跟踪环节）（SPWM调制） 离散域(Based on the three-level lcL filter active power filter (APF) simulation design, including (harmonic detection, current tracking link) (SPWM modulation) discrete domains)

基于曲率尺度空间（CSS）的图像边缘特征点检测matlab程序。(Detection matlab program based on curvature scale space (CSS) image edge feature points.)

support vector machine （支持向量机）方法是目前分类方法中比较好的一个分类方法，实验证明准确度非常高！(support vector machine (support vector machine) method is a better classification of a classification method, experimental proof of a very high accuracy!)

Some algorithms of variable step size LMS adaptive filtering are studied．The VS—LMS algorithm is improved． Another new non-linear function between肛and e(／ t)is established．The theoretic analysis and computer simulation results show that this algorithm converges more quickly than the origina1．Furthermore，better antinoise property is exhibited under Low—SNR environment than the original one．(variable step size of a LMS daptive filtering are studied. The VS-LMS algorithm is improved. Another new non-linear function between anus and e (/ t) is established. The theoretic analysis and computer simulatio n results show that this algorithm converges mo 're quickly than the origina1. Furthermore, better antinoise property is exhibited under L ow- SNR environment than the original one.)

几种改进的粒子群算法（PSO），可用来学习算法的编程，以及算法之间的对比等等。(Several improved particle swarm optimization (PSO), can be used to learn programming algorithms, as well as contrast between algorithms and so on.)

Specific bus support for PMC-TWI compliant implementation on MSP71xx.