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说明：  A algorithm for gray image binarization

图像融合是将两幅或多幅图像融合在一起，以获取对同一场景的更为精确、更为全面、更为可靠的图像描述。融合后的图像信息互补，包含的信息更加全面、准确且易于观察和进一步处理(Image Fusion)

this program takes the data from an IMU as the input and calculates the body s trajectory ,velocity and attitude . it plots the velocities and euler angles vs time and the body s trajectory

根据论文中的算法，读者给运用matlab将程序写了出来，将一个24位真彩图像进行加密，再运用真确的解钥对图像进行解密！(According to papers in the algorithm, readers to use matlab program to write out a 24-bit true color image is encrypted, and then use the solution of the authenticity of image decryption key!)

mimo ofdm book-helps to build up mimo ofdm model

这是一个关于MATLAB实例的讲解以及工具箱的使用,对初学者很有帮助.(This is a lecture on the MATLAB examples, as well as the use of the toolbox, useful for beginners.)

这是一个简单的数据生成器，可以生成0到1之间的n维数据(This is a simple data generator can generate 0 to 1 between the n-dimensional data)

java调用matlab程序的一个applet。(java call matlab program for a applet.)

可逆跳跃马尔科夫蒙特卡洛贝叶斯模型选择，主要用于神经网络(Reversible Jump MCMC Bayesian Model Selection This demo demonstrates the use of the reversible jump MCMC algorithm for neural networks. It uses a hierarchical full Bayesian model for neural networks. This model treats the model dimension (number of neurons), model parameters, regularisation parameters and noise parameters as random variables that need to be estimated. The derivations and proof of geometric convergence are presented, in detail, in: Christophe Andrieu, Nando de Freitas and Arnaud Doucet. Robust Full Bayesian Learning for Neural Networks. Technical report CUED/F-INFENG/TR 343, Cambridge University Department of Engineering, May 1999. After downloading the file, type "tar-xf rjMCMC.tar" to uncompress it. This creates the directory rjMCMC containing the required m files. Go to this directory, load matlab5 and type "rjdemo1". In the header of the demo file, one can select to monitor the simulation progress (with par.doPlot=1) and modify the simulation parameters.)

基于小波的音频水印嵌入代码。采用DB1小波(Wavelet-based audio watermark embedding code. Using wavelet DB1)