otsu-threshold

MATLAB 数学工具软件实例简明教程 非常实用(MATLAB)

MPSK的simulink仿真，纯手工制作(MPSK the simulate simulation，by oneself)

说明：  很不错的LDPC译码的matlab程序，觉得有用大家分享一下(LDPC decoder)

说明：  gauss积分matlab代码，一个完整的程序(matlab code gauss points, a complete program)

LDA for Matlab, Good Code! Wish you enjoy it!(LDA for Matlab, Good Code! Wish you enjoy it!)

测试成功的局部均值分解算法，可应用在故障诊断中(The test successful local mean decomposition algorithm，can be used in fault diagnosis)

在地震反演中需要进行流体替换的研究，流体替换中用到了gassmann方程 (Seismic inversion studies need to replace the fluid, fluid replacement used gussmannn equation)

说明：  此程序实现构造Daubechies小波基,求解小波尺度函数离散整数点的值和实现尺度函数经伸缩后的离散值采用双尺度方程求解小波基函数(The Program for Daubechies wavelet construction, solving the discrete wavelet scaling function and implementation of an integer point value after scaling function by the expansion of discrete values using the two-scale wavelet basis function equation)

this paper is about the image watermarking using DWT+DCT+CDMA. it provides a good PSNR value then each technique seprately

In computer science and information theory, data compression, source coding,[1] or bit-rate reduction involves encoding information using fewer bits than the original representation. Compression can be either be lossy or lossless. Lossless compression reduces bits by identifying and eliminating statistical redundancy. No information is lost in lossless compression. Lossy compression reduces bits by identifying marginally important information and removing it. The process of reducing the size of a data file is popularly referred to as data compression, although its formal name is source coding (coding done at the source of the data, before it is stored or transmitted).