yuyinhecheng

这是一个contourlet工具箱，用来对contourlet变换进行了解和应用(Contourlet toolbox: a MATLAB toolbox for computing the contourlet transform and its applications. The contourlet transform is described in: The contourlet transform: an efficient directional multiresolution image representation, Minh N. Do and Martin Vetterli, IEEE Transactions on Image Processing, December 2005)

VC++与MATLAB混合编程及其应用 摘 要 本文详述了在VC++6.0编译环境下如何利用Matlab来实现应用系统的设计和分析，介绍了通过Matlab与VC应用程序连接的常用方法，分析了VC与Matlab的混合编程的步骤，最后通过一个具体实例的实现过程对上述方法进行了应用性介绍。 ()

牛顿拉夫森法用来解决极大似然估计的问题。很好用。(Newton La Fusen method to solve the problem of maximum likelihood estimation. Good use.)

Recovering 3-D structure from motion in noisy 2-D images is a problem addressed by many vision system researchers. By consistently tracking feature points of interest across multiple images using a methodology first described by Lucas-Kanade, a 3-D shape of the scene can be reconstructed using these features points using the factorization method developed by Tomasi-Kanade.

通信原理实验matlab仿真中衰落信道下的偏移四进行相移键控(Matlab simulation of communication theory experiment fading channels to offset four-phase shift keying)

Generalized Nyquist diagram for stability analysis of linear time invariant systems (Nyquist on arbitrary contour)

说明：  瞬时测频的基础知识、多信道法瞬时测频、鉴频法瞬时测频、干涉仪比相法瞬时测频、驻波鉴相法瞬时测频、瞬时测频编码、数字计算法瞬时测频(Instantaneous Frequency Measurement of the basic knowledge, multi-channel method of instantaneous frequency measurement, frequency Instantaneous Frequency Measurement Act, interferometer phase method than the Instantaneous Frequency Measurement, standing-wave phase Instantaneous Frequency Measurement Act, Instantaneous Frequency Measurement encoding, digital calculation of Instantaneous Frequency Measurement)

Kalman滤波算法在Matlab中的仿真，主要是针对基本的算法(Kalman filter algorithm simulation in Matlab, basic algorithm)

MATLAB实现图形图像的处理，对图像的中值滤波。(MATLAB image processing of graphics, the image median filtering.)

融合边缘与区域的水平集分割算法，分割效果优于单独的模型 (Integration of edge and region level set segmentation algorithm, the split is better than a separate model)