MFCC-feature

立体图像质量评价，文章以cyclopean image为核心构建算法。(Full-reference quality assessment of stereopairs accounting for rivalry)

Scale-invariant feature transform (or SIFT) is an algorithm in computer vision to detect and describe local features in images. The algorithm was published by David Lowe in 1999.[1] Applications include object recognition, robotic mapping and navigation, image stitching, 3D modeling, gesture recognition, video tracking, individual identification of wildlife and match moving. The algorithm is patented in the US the owner is the University of British Columbia.

压缩感知：NSL0，基于光滑l0范数和修正牛顿法的压缩感知重建算法，是本人精心编写调试好的，请放心使用。(cs:NSL0, compressive sensing reconstruction algorithm based on smooth l0 norm and modified Newton method )

最优化计算中一维无约束极值问题，适合初学者入门学习！(Optimize the calculation of one-dimensional unconstrained extremum problem, suitable for beginner to learn!)

基础的交错并联BUCK电路仿真，可分析各模态的电压电流变化规律(Interleaved parallel BUCK circuit simulation)

CS8952 circuit application

最小二乘法的Matlab参数辨识程序，每一步的解释都非常易懂清晰，是一个很好的matlab例子(Matlab least squares method parameter identification procedures, the explanation of each step are very easy to understand clearly, is a good example of matlab)

< Matlab遗传算法工具箱及应用>> 配套的遗传算法工具箱 gatbx(<Matlab genetic algorithm toolbox and application>> matching the genetic algorithm toolbox gatbx)

softmax.使用matlab编写的分类代码(softmax.using matlab a good code)

4g technologies LTE WIMAX