contrast_enhance_CLAHE

利用ASIHTTPREQUEST与服务器交互的最简单的例子(How to use ASIHTTPREQUEST)

基于Matlab的心理声学模型程序，喜欢的可以研究研究 (Psychoacoustic model based on Matlab program, like research can be studied)

MIMO STBC simulation

SAR图像压缩感知图像处理，用于压缩感知处理后的SAR图像进行图像重建与恢复(SAR image compression sensing image processing, image sensing processing for compressing SAR image after reconstruction and restoration)

fsk modulation Frequency shift keying (FSK) is the most common form of digital modulation in the high-frequency radio spectrum, and has important applications in telephone circuits. This article provides a general tutorial on FSK in its many forms. Both modulation and demodulation schemes will be discussed

该程序主要是实现基于暗原色先验进行的去雾程序，希望对进行此项研究的人有所帮助(The program is used to dehazing,which is based on dark channel.)

阵列的方向图，其中包含均匀线列阵，均匀平面阵，均匀圆阵的方向图的源代码(The pattern of the array, which contains uniform linear array, uniform plane array, the source code of the uniform circular array pattern)

dtc table secteur simulink matlab .mdl .m

说明：  共轭梯度法（Conjugate Gradient）是介于最速下降法与牛顿法之间的一个方法，它仅需利用一阶导数信息，但克服了最速下降法收敛慢的缺点，又避免了牛顿法需要存储和计算Hesse矩阵并求逆的缺点，共轭梯度法不仅是解决大型线性方程组最有用的方法之一，也是解大型非线性最优化最有效的算法之一。 在各种优化算法中，共轭梯度法是非常重要的一种。其优点是所需存储量小，具有步收敛性，稳定性高，而且不需要任何外来参数。(The Conjugate Gradient method is a method between the steepest descent method and the Newton method. It only needs to use the first derivative information, but overcomes the shortcomings of the steepest descent method and avoids the need for the Newton method to store And the calculation of Hesse matrix and the inverse of the shortcomings, conjugate gradient method is not only to solve large-scale linear equations one of the most useful methods, but also solution for large-scale nonlinear optimization of one of the most effective algorithm. In a variety of optimization algorithms, conjugate gradient method is a very important one. The advantage is that the required storage capacity is small, with step convergence, high stability, and does not require any external parameters.)

求二维点对问题，但是没有实现不知道怎么做？(the distans of some points )