filter

this is basic for understood radar

it s important thing for development

The This snisotropic diffusion tensor filtering package is a free (GPL) MATLAB program that implements the non linear 1D 2D and 3D image and signal processing algorithm. It features an easy-to-use user interface, and a computationally powerful algorithm.

说明：  IMF能量计算，能量熵 ，EMD，matlab(IMF energy calculation)

信息论中条件熵的仿真,采用Matlab语言进行仿真(Simulation of conditional entropy in information theory)

The Matching Pursuit ToolKit provides a fast implementation of the Matching Pursuit algorithm for the sparse decomposition of audio signals. It comprises a library, some standalone utilities and some scripts to plot the results under Matlab.

equlization Matlab Code

说明：  关于半色调编码计算全息图的信息隐藏Matlab程序的说明： 算法实现主程序为CGHwatermark； 位相恢复函数为phaseSL； 用计算全息记录已知振幅和位相的复波前函数为Hologen； 半色调编码函数为AMhalftone； 嵌入信息的提取直接调用Matlab自带的FFT2函数； 主程序的函数调用关系如下 读入宿主信息和水印信息-----------phaseSL--->Hologen--->AMhalftone(完成嵌入)--->FFT2（提取水印信息） 主程序结果保存于holo&mark文件夹 对算法鲁棒性测试的程序： 1. 对于剪切操作 Cliptest 结果存放于cliptest文件夹 2. 对于缩放操作 zoomtest 结果存放于zoomtest文件夹 3. 对于旋转操作 rotatetest 结果存放于rotate文件夹 4. 对于滤波操作 filtertest 结果存放于filtertest文件夹 5. 测试算法的时间效率 timetest 6. 分析嵌入信息后图像质量与参数alpha，tao的关系 msetest(err)

基于标准遗传算法的图像分割，运用遗传算法确定阈值。是matlab源码。(Standard genetic algorithm-based image segmentation, the use of genetic algorithms to determine the threshold. Matlab source code.)

子空间类波达方向(Direction Of Arrival,DOA)估计算法的关键在于得到高质量的信号子空间估计。该文利用矩阵伪逆的双正交性,针对源信号不相关而其本身是色信号的情况,给出了一种新颖的DOA估计算法,它不需要知道噪声统计特性。该算法利用一组空间相关矩阵的结构化信息,能稳健而精确地估计出信号子空间,从而得到DOA的精确估计。仿真实验证实了所给算法的有效性。(The key subspace DOA (Direction Of Arrival, DOA) estimation algorithm is to get a high quality signal subspace estimation. In this paper, the use of pseudo-inverse matrix dual orthogonal signals for the source itself is not related to the case and the color signal is given a novel DOA estimation algorithm, it does not need to know the statistical properties of the noise. The algorithm uses a set of structured information in spatial correlation matrix can be robust and accurately estimate signal subspace to obtain an accurate estimate of the DOA. Simulation experiments confirmed the effectiveness of the proposed algorithm.)