matlab6.5imageproces

优化程序，包括最短路径，最小生成树等。具体说明可以参考content文件 (optimization procedures, including the shortest path, minimum spanning tree, and so on. Specify reference document content)

NS 仿真软件输出结果的分析。有NAM 和 MONITOR输出结果的具体分析，希望对大家有用。(NS simulation software output analysis. MONITOR output with NAM and the specific analysis, we want to be useful.)

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.)

I developed an algorithm for using local ICA in denoising multidimensional data. It uses delay embedded version of the data, clustering and ICA for the separation between data and noise. (I developed an algorithm for using local ICA in denoising multidimensional data. It uses delay embedded version of the data, clustering and ICA for the separation between data and noise.)

Steerable高斯图像滤波器，非常不错 在国外网站上找到的，可以学习 (Steerable Gaussian filter images, very good abroad found on the site, we can learn from)

Kolda Tensor Factorization toolbox. Useful for tensor signal processing

五种常见去隔行算法在MATLAB平台上的实现流程(The implementation process of the five common de-interlacing algorithm in the MATLAB platform)

利用PLSI算法自动对一个文档集进行聚类，需要调节聚类的维度K值，从而得到最大的likelihood(PLSI automatically using an algorithm for clustering document set needs to be adjusted to the dimension value of K clusters, to obtain the maximum likelihood)

this is very good iris recognition code iris segmentation

随机共振模型是检测微弱信号，近期流行的算法，效果不错，从事微弱信号检测和提取的可看下(Stochastic resonance model is to detect weak signals, the recent popular algorithms, good effect, engage in weak signal detection and extraction can look)