lsb_embed1

simulink的入门教程，老师上课讲的课件，较易懂，适用于初学者(simulink introductory tutorial, the teacher talked about class courseware, more easy to understand for beginners)

使用matlab来实现直接序列扩频的调制和解调(Using matlab to achieve direct sequence spread spectrum modulation and demodulation)

F-score matlab 源代码 对F-score进行计算 运行环境 Matlab(F-score matlab source code for the F-score is calculated runtime environment Matlab)

说明：  本程序是用来进行运动估计的全搜索块匹配方法(This procedure is used for motion estimation of the full search block-matching method)

implementation of rayleigh fading channel

k-d树的matlab程序，包含了KDTREE, KDTREEIDX and KDRANGEQUERY functions。提供了两个Demo scripts(kdtree_demo.m & kdrange_demo.m),很实用( This distribution contains the KDTREE, KDTREEIDX and KDRANGEQUERY functions. Included are the source code files in kdtree/src, as well as precompiled mex files for the following systems: - Mac OS X (Matlab 6.5) - Redhat Linux (Matlab 6.5) - Windows (Matlab 6.1) Two demo scripts are provided (kdtree_demo.m & kdrange_demo.m). The new features added June 2004: + You can now use N dimensional data points, where N>3. + Use KDTREEIND to return the index value to the closest point, instead of the closest point values. + KDRANGEQUERY can now return these index values as well. Written by/send comments or suggestions to : Guy Shechter guy at jhu dot edu June 2004 )

calculating the binaural cross-correlogram of a sound. The toolbox incorporates functions for: signal generation (e.g., bandpass noise, pure tone, complex tone, Huggins pitch) plotting and playing of signals calculation & post-processing of the correlogram frequency or delay weightings calculation of centroid or peak locations.

说明：  最新UWB 60GHz tg3c channel model(newest UWB 60GHz tg3c channel model)

计算多重分形非趋势波动分析matlab程序,数值分析的EULER法，基于matlab平台实现。( Calculation multifractal detrended fluctuation analysis matlab program, EULER numerical analysis method, Based on matlab platform.)

The local binary pattern (LBP) is a simple yet very efficient operator which labels the pixels of an image by thresholding the neighborhood of each pixel and considers the result as a binary number. Perhaps the most important property of the LBP operator in real-world applications is its invariance against monotonic gray level changes caused, for example, by illumination variations. Another equally important is its computational simplicity, which makes it possible to analyze images in challenging real-time settings. LBP is also very flexible: it can be easily adapted to different types of problems and used together with other image descriptors