浅水仿真 matlab

自适应型广义形态滤波滤波器的源代码（内含腐蚀、膨胀、开闭运算、snr等代码），仅供参考(The source code of the adaptive generalized morphological filter filter (containing corrosion, expansion, opening and closing op, snr, and other code), for reference only )

K-means clustering algorithm

本书内容沿用了《数字图像处理》一书的组织方式。采用这种方法，读者很容易理解 本书讨论的所有数字图像处理概念，并将它们作为进一步阅读的最新参考。所选的软件工具来自MATLAB 数字图像处理工具箱，该工具箱在教育和工业应用中同样占有优势。(The book follows the organization of Digital Image Processing, a book. With this method, the reader is easy to understand. All digital image processing concept discussed in this book, and use them as a reference for further reading the latest. The selected software tools MATLAB digital image processing toolbox, the toolbox in education and industrial applications take advantage of the same.)

Diffusion-limited  Aggregation（DLA）扩散限制凝聚，是由Witten和Sander于1981年共同提出来的。其基本思想是：首先置一初始粒子作为种子，在远离种子的任意位置随机产生一个粒子使其做无规行走，直至与种子接触，成为集团的一部分。然后再随机产生一个粒子，重复上述过程，这样就可以得到足够大的DLA团簇。(Diffusion-limited Aggregation (DLA) Diffusion Limitation Cohesion was presented by Witten and Sander in 1981. The basic idea is to first set an initial particle as a seed, at any position away the seeds randomly generated a particle to make it random walk until the contact with the seeds, as part of the group. And then randomly generate a particle, repeat the process, so you can get enough large DLA clusters.)

基于雅克比迭代法的matlab方腔流动程序，其中包括流函数和涡函数子程序(The MATLAB cavity flow program based on Jacobian iteration method, including the stream function and the vortex function subroutine.)

说明：  提出了一种合理的载波相位调制优化方法。该方法结合了子模块的平衡控制，不仅显示了更好的电容电压平衡效果，而且还输出了信号。谐波含量较低。(A reasonable carrier phase modulation optimization method is proposed. This method combines the balance control of the sub-module, which not only shows a better capacitance voltage balance effect, but also outputs a signal. The harmonic content is low.)

代码里有很完整的注释和解释，主同步信号PSS在时域上的相关仿真，关于超声波倒车雷达测距的，可以得到很精确的幅值、频率、相位估计，用平面波展开法计算二维声子晶体带隙,抑制载波型差分相位调制。

说明：  本压缩包是有关matlab的论文等压缩包 希望对大家有帮助(This is a file about matlab)

speaker recognition.In 1980, Linde, Buzo, and Gray (LBG) proposed a VQ design algorithm based on a training sequence. The use of a training sequence bypasses the need for multi-dimensional integration. A VQ that is designed using this algorithm are referred to in the literature as an LBG-VQ.

关于文章“Accelerated Proximal Gradient Methods for Nonconvex Programming”的matlab 源码(the matlab with regard to the paper Accelerated Proximal Gradient Methods for Nonconvex Programming )