00728048

detection of image change

矢量控制系统中的park变换，用于矢量左边的2S/2R的变换(The park transform vector control system, for the vector the left 2S/2R the transformation)

Various species of birds have unique bird calls. These bird calls are distinct based on inflection, length, and context, meaning the same bird may have more than one call. A device that would analyze the signal and identify the bird based on the bird call could be of tremendous help to an ornithologist. This project proposed the development of this device using signal processing and embedded design.

The radially averaged power spectrum (RAPS) is the direction-independent mean spectrum, i.e. the average of all possible directional power spectra. This function computes and plots the RAPS of an input image. The function was written to produce the RAPS for square weather radar reflectivity images so you will have to relabel the plot axes and title to suit your needs. The radially averaged power spectrum provides a convenient means to view and compare information contained in 2D spectra in 1D

本文给出了m序列多项相关性的概念，还研究了生成多项式计数的问题(In this paper, the concept of multiple correlation m series, also studied the problem of generation polynomial count)

Matlab数据类型和结构分析Matlab data types and structural analysis(Matlab data types and structure of Matlab data types and structural analysis)

DOA经典算法系列之MUSIC MUSIC算法的深入研究改进算法众多,这里提供Music系列二:噪声子空间法(DOA series of classical algorithm MUSIC MUSIC- depth study of the many improved algorithm, Music series here for two : noise-space law)

利用matlab变成实现聚类分析min1.m——求矩阵最小值，返回最小值所在行和列以及值的大小 min2.m——比较两数大小，返回较小值 std1.m——用极差标准化法标准化矩阵 ds1.m——用绝对值距离法求距离矩阵 cluster.m——应用最短距离聚类法进行聚类分析 print1.m——调用各子函数，显示聚类结果 (cluster analysis with Matlab min1.m min2.m std1.m ds1.m cluster.m print1.m)

2012 ECCV 稀疏编码和 字典学习( Sparse Coding and Dictionary Learning for Symmetric Positive Definite Matrices: A Kernel Approach. European Conference on Computer Vision (ECCV), pp. 216-229, 2012.)

说明：  matlab编程的中文版，非常珍贵的电子书！(Chinese version of matlab programming, e-books are very precious!)