实验一 最大最小距离算法

说明：  canny算法的一个简易实现,关于两个阈值的连接问题采用了膨胀的方法,较为使用,经比较发现与matlab自带函数相差不大(canny algorithm is a simple implementation, two thresholds on the issue by the expansion of the connection method, the more use, by the comparison function that comes with little difference matlab)

说明：  matlab写的数字信号处理源代码,里面包括最基本的fft计算，以及小波分析。完整的源代码。(Matlab write digital signal processing source code, including inside the most basic fft, and wavelet analysis. Complete source code.)

判別分析法（discriminant analysis），是在已知的分類之下，一旦遇到有新的樣本時，可以利用此法選定一判別標準，以判定如何該將新樣本放置於那個族群中。 (Discriminant analysis (discriminant analysis), under the classification of the known event of the new sample, the method has been applied to select a criterion to determine how the new sample is placed in that population.)

宽带时延波束形成仿真程序，通俗易懂，适于初学(broadband beamforming simulation procedures, user-friendly and suitable for beginners)

Objective: To familiarize with the kinds of color spaces: NTSC, YCbCr, HSV, CMY, CMYK, and HSI. Acquire the skills transformation images in color space, which will be illustrated functions with MatLab.

可以自适应的给出最佳的聚类数， 而且可以验证聚类的有效性， 达到最佳聚类的目的(You can give the best adaptive number of clusters, and can verify the validity of clustering, to achieve the purpose of optimal clustering)

Motion estimation algorithm - three step search

粒子群优化算法matlab程序，简洁易懂，适用于初学者！(Particle Swarm Optimization algorithm matlab program)

传统的K-medoids聚类算法的聚类结果随初始中心点的 不同而波动，且计算复杂度较高不适宜处理大规模数据集； 快速K-medoids聚类算法通过选择合适的初始聚类中心改进 了传统K-medoids聚类算法，但是快速K-medoids聚类算法 的初始聚类中心有可能位于同一类簇。为了克服传统的K- medoids聚类算法和快速K-medoids聚类算法的缺陷，提出 一种基于粒计算的K-medoids聚类算法。(The traditional K-medoids clustering algorithm clustering results with different initial center points and volatility, and high computational complexity is not suitable for processing large data sets; K-medoids clustering algorithm by choosing proper initial cluster centers to improve the traditional K-medoids clustering algorithm, but the initial cluster center of K-medoids clustering algorithm can be located in the same cluster. In order to overcome the shortcomings of the traditional K- medoids clustering algorithm and the fast K-medoids clustering algorithm, a K-medoids clustering algorithm based on granular computing is proposed.)

半带滤波器的设计。半带滤波器在设计准确重建性能的滤波器组方面有重要作用。(half-band filter design. Half-band filters in the design performance of accurate reconstruction filters play an important role.)