ganzhiqishixian

《A Closed-Form Solution to Natural Image Matting》一文的代码，可用于图像抠图，抠图效果比photoshop好(《A Closed-Form Solution to Natural Image Matting》image soft matting)

最新的gstreamer内部原理和开发指南，讲的非常详细，收藏好多年啦(The new GStreamer internal principle and development guide, a very detailed, for several years)

提供了完整的增量式支持向量机的matlab原代码程序，便于初学者学习(Provides a complete incremental SVM matlab program source code, easy for beginners to learn)

说明：  一个短时傅立叶变换的MATLAB程序，可以进行信号的时频分析。(A short-time Fourier transform of the MATLAB program, can be time-frequency analysis.)

频域波束成形算法，适用于所有一维和二维阵列的波束成形计算。对于采样时间较短的信号，采用了2次分段，对于采样时间足够的信号则只需要1次分段计算。计算结果包含成像图结果和各扫描点处的频谱结果(Frequency domain beamforming algorithm, applicable to all one-dimensional and two-dimensional array beam forming calculations. For shorter sampling signal, using a second segment, the sampling time sufficient signal need only 1 segment calculations. Calculation results include the results of spectral imaging of the results of each scan point)

传统的决策树能较好地解决分类问题，但当类的个数增多时，所产生的单一决策树就会变得复杂，同时概括能力降低。 该文采用基于层次分解的方法通过产生多层决策树来处理多类问题。 与传统的单一决策树比较， 基于层次分解的决策树在处理多类问题时有许多的优势。(induction learning,decision tree,id3 ,hiberarchy decomposition)

用MATLAB　实现一简单的数字（0--9）识别程序，非常好的源码。(Using MATLAB to achieve a simple number (0- 9) identification procedures, a very good source.)

读SAC地震数据文件子程序，可以读二进制形式存储的sac文件，以及ASCII存储的asc文件(Read SAC seismic data file subroutine stored in binary form, can be read the sac files, as well as ASCII asc files stored)

time-invariant degradation models and stationary signals and noise, the classical Fourier domain Wiener filter, which can be implemented in O(N logN) time, gives the minimum mean-square-error estimate of the original undistorted signal. For time-varying degradations and nonstationary processes, however, the optimal linear estimate requires O(N2) time for implementation. We consider filtering in fractional Fourier domains, which enables significant reduction of the error compared with ordinary Fourier domain filtering for certain types of degradation and noise (especially of chirped nature), while requiring only O(N logN) implementation time. Thus, improved performance is achieved at no additional cost. Expressions for the optimal filter functions in fractional domains are derived, and several illustrative examples are given in which significant reduction of the error (by a factor of 50) is obtained.

基于MATLAB编程能计算任意个节点的介数(Can calculate the betweenness of any node Based on MATLAB programming)