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利用Gabor滤波器进行特征提取，在信号与图像处理领域有着广泛的应用。参考文献“Efficient Computation of Gabor Features”(Gabor fi lter responses are widely and successfully used as general purpose features in many computer vision tasks, such as in texture segmentation, face detection and recognition, and iris recognition.)

TIME, by itself, creates a new TIME or raises the existing singleton.

13 level mli with bridge

说明：  近年来，基于启发式的多目标优化技术得到了很大的发展，研究表明该技术比经典方法更实用和高效。有代表性的多目标优化算法主要有NSGA、NSGA-II、SPEA、SPEA2、PAES和PESA等。粒子群优化(PSO)算法是一种模拟社会行为的、基于群体智能的进化技术，以其独特的搜索机理、出色的收敛性能、方便的计算机实现，在工程优化领域得到了广泛的应用，多目标PSO(MOPSO)算法应用到了不同的优化领域[9~11]，但存在计算复杂度高、通用性低、收敛性不好等缺点。 多目标粒子群（MOPSO）算法是由CarlosA. Coello Coello等在2004年提出来的(In recent years, heuristic-based multi-objective optimization technology has been greatly developed, and research shows that this technology is more practical and efficient than classical methods. Representative multi-objective optimization algorithms mainly include NSGA, NSGA-II, SPEA, SPEA2, PAES and PESA. Particle Swarm Optimization (PSO) algorithm is an evolutionary technology based on swarm intelligence that simulates social behavior. With its unique search mechanism, excellent convergence performance, and convenient computer implementation, it has been widely used in the field of engineering optimization. The objective PSO (MOPSO) algorithm is applied to different optimization fields [9~11], but it has shortcomings such as high computational complexity, low versatility, and poor convergence. The multi-objective particle swarm optimization (MOPSO) algorithm was proposed by Carlos A. Coello Coello et al. in 2004)

time series annalys. Trend decomposyshion. Season index decomposition

希尔伯特黄变换（HHT）变换，在众多领域都有应用，适合初学者学习(Hilbert Huang Transform (HHT) transformation has applications in many fields, suitable for beginners to learn)

计算地震波的震中距和走时的的子程序，非常好用的子程序(Subroutine to calculate seismic epicentral distance and travel time, and very easy to use subroutines)

基于PRI的雷达分选算法的界面 包括cdif sdif (The interface includes sorting algorithm based on PRI' s radar cdif sdif)

图像传输过程中，经常会受到各种噪声的干扰，本程序采用邻域平均法来减少噪声(In the process of image transmission, there will be various noise interference always,this program is to reduce noise base on Neighborhood average method. )

输入的影像可以是一个复杂的形象contaning点，纹理，缺陷等图形用户界面可以让用户手动识别中心，动态更新和纪念中心。标志着该中心可以在整个图像或它的一部分。一旦所有这些中心鉴定，RDF是由程序计算和策划，并包含一个txt文件保存中心的名单。(The input image can be a complicated image contaning dots, textures, defects etc. The GUI lets the user manually identify the centers, dynamically updating, and marking the centers. The centers can be marked in the whole image or a part of it. Once all the centers are identified, the RDF is calculated and plotted by the program, and a txt file containing the list of centers is saved. )