randint

Image processing via MATLAB_V1

image compression using lvq

说明：  几种用于阵列信号处理的常见函数，附带有详细的编程步骤与方法！(Several commonly used in array signal processing functions, with a detailed programming steps and methods!)

随机改变一个矩阵的行的顺序生成新矩阵 保持数据不变(Randomly changing the rows of a matrix to generate a new matrix)

类似于Pinterest的瀑布墙图片展示demo，精选ios编程学习源码，很好的参考资料。(Similar to the Pinterest waterfall wall pictures demo, select learning IOS programming source code, a good reference.)

《matlab40个经典案例》书本PDF扫描版和源程序。福利继续上。欢迎指教(" Matlab40 a classic case of" book PDF scan version and source code. Benefits continue on. Welcome advice)

虽然奇异值分解（SVD）和特征值分解（EVD的）是行之有效的，可以通过先进的设施设备先进的算法，它不是通常所说，有一个内在的迹象，可以显着影响的不确定性的结论计算及诠释来自其结果。我们提供一个解决方案，标志模糊的问题确定了从奇异向量的内积和个人数据载体签署奇异向量的迹象。该数据可能有不同的载体，但它有它自身的定位和实际意义的选择方向，其中多数的向量点。这可以通过评估发现了内心的签署标志产品的总和。(Although the Singular Value Decomposition (SVD) and eigenvalue decomposition (EVD) are well-established and can be computed via state-of-the-art algorithms, it is not commonly mentioned that there is an intrinsic sign indeterminacy that can significantly impact the conclusions and interpretations drawn from their results. We provide a solution to the sign ambiguity problem by determining the sign of the singular vector from the sign of the inner product of the singular vector and the individual data vectors. The data vectors may have different orientation but it makes intuitive as well as practical sense to choose the direction in which the majority of the vectors point. This can be found by assessing the sign of the sum of the signed inner products. )

feedback linerization slotine example 6-5

稀疏表示的matlab代码，可以对信号进行稀疏表示，对稀疏表示有兴趣的学者，可以研究，很有帮助(Sparse representation of the matlab code, and the signal can be sparse representation, interested in sparse representation of the scholar, to study, very helpful)

This example solves a 2nd order wave equation: utt = uxx + uyy, with u = 0 on the boundaries. It uses a 2nd order central finite difference in time and a Chebyshev spectral method in space (using FFT). It compares to running the same algorithm on the GPU using gpu-arrays and built-in functions available for the GPU.