Matlab

mamatlab基于拉普拉斯金字塔分解的图像融合源程序(mamatlab based on the decomposition of the Laplacian pyramid image fusion source)

序列二次规划算法，可以matlab运行，内部有详细说明(Sequential quadratic programming algorithm, matlab can run, there are detailed internal instructions)

Matlab的射频滤波器仿真设计,Matlab的射频滤波器仿真设计(RF system based on matlab)

SPIHT-set partitioning in hierarchical tree algorithm. it is also used for compression. here list of insignificant pixels, list of significant pixels, list of significant sets

全书以使用为经，以控制理论为纬，系统全面地介绍了国际控制界最为流行的计算机辅助设计与教学工具软件Matlab在控制系统设计中的各项应用，包含了控制系统的数学描述、控制系统时频分析及轨迹的绘制、传递函数模型控制系统校正、控制系统的状态空间设计方法……(Book to use as the warp and weft to control theory, systematic and comprehensive introduction to the international control of world s most popular computer-aided design software Matlab and teaching tool in the control system design of the application, including the mathematical description of the control system, control state-space-frequency analysis and design methods to draw the trajectory of the system transfer function model control system calibration, the control system ......)

频散方程的相速度和群速度曲线分析和绘制，带备注。(frequency dispersion)

table look up in fuzzy system

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.

jake s model ,信道仿真的一种，在matlab上仿真实现。(jake s model ,matlab code )

极化SAR图像分类数据，数据为T矩阵，为原始数据部分图像，包括free分解后数据以及各分量数据(Polarization SAR image classification data, data for the T matrix, part of the image to the original data, including the breakdown of free data and each component of the data)