fractal-box

基于NSCT变换的自适应去噪，里面包含仿真图(image denoising)

螺旋轨迹重建的一种实现方法，是解析算法的典型案例(An implementation method of spiral trajectory reconstruction is an analytical algorithm)

相变凝结蒸发，源项vof-udf，定义连续性方程，能量方程，动量方程中的质量源项，能量源项和动量源项(condensation and evaporation)

有关粒子滤波及其改进算法的资料，对初学粒子滤波算法的人很有帮助(Information about particle filter and its improved algorithm, is of great help to beginners of particle filter algorithm )

Matlab源程序代码，著名的PSO程式代码，用于拟合超二次曲线，曲面的代码，适用于粒子系统。呵呵，与大家一起分享受(Matlab source code, the famous PSO program code for the quadratic curve-fitting, Surface code applicable to the particle system. Oh, and that they have enjoyed.)

混合高斯分布EM算法，可以算混合高斯分布的三个参数。混合高斯分布更接近系数分布。(mixed Gaussian distribution EM algorithm can calculate mixed Gaussian distribution of the three parameters. Mixed closer to the Gaussian distribution coefficient.)

基于小波模极大值算法来实现信号去噪，这是一维去噪程序代码。(Wavelet modulus maxima algorithm to achieve signal de-noising, which is one-dimensional de-noising procedure code.)

这本书提供了充分的代表性逆合成孔径雷达（ISAR）成像，这是一种流行和重要的雷达信号处理工具。本书涵盖了所有可能的ISAR成像方面。这本书提供了一个介绍了专家组的逆问题和合成孔径雷达（SAR）提出的问题之前，信号处理技术和雷达基本相当。如高分辨率SAR的重要概念，脉冲压缩和图像形成连同相关的MATLAB代码。 ISAR成像的基本原理后，这本书提供了相关的MATLAB函数和代码成像ISAR成像的详细程序。 ISAR成像，多个成像技巧和微调，如零填充和窗口程序，以提高图像的质量也被提出。最后，逆合成孔径雷达图像中的各种实际应用，如成像天线平台散射的，是在单独的一章。所有这些算法，MATLAB代码和数字都包括在内。最后一章考虑了在ISAR成像的先进理念和发展趋势。(This book provides a full representation of Inverse Synthetic Aperture Radar (ISAR) imagery, which is a popular and important radar signal processing tool. The book covers all possible aspects of ISAR imaging. The book offers a fair amount of signal processing techniques and radar basics before introducing the inverse problem of ISAR and the forward problem of Synthetic Aperture Radar (SAR). Important concepts of SAR such as resolution, pulse compression and image formation are given together with associated MATLAB codes. After providing the fundamentals for ISAR imaging, the book gives the detailed imaging procedures for ISAR imaging with associated MATLAB functions and codes. To enhance the image quality in ISAR imaging, several imaging tricks and fine-tuning procedures such as zero-padding and windowing are also presented. Finally, various real applications of ISAR imagery, like imaging the antenna-platform scattering, are given in a separate chapter. For all these algorithms, MATLA)

区域生长算法，通过设置种子点来实现,代码注释完整(region grow algorithm with matlab)

用matlab实现多尺度边缘检测。。。。。。。。。。。。。(Using matlab to achieve multi-scale edge detection. . . . . . . . . . . . .)