fdtd_antenna

自己写的几个小程序，包括冲激函数，阶跃函数，时域采样，恢复，内插等程序。很好用。(Write several small programs, including the impulse function, step function, time domain sampling, recovery, interpolation procedures. Good use.)

Matlab 复杂网络工具包，对复杂网络的研究有很大的重要性。(Matlab complex network toolkit for complex network research has great importance.)

黄金分割法（0.618）程序，以及进退法选择优化区间(Golden section method (0.618) procedures)

matlab实现的简单的图像检索，通过收集图像的信息，在图像集合中找到与目标相似的图像，包含多种信息收集方法(matlab to achieve a simple image retrieval, image collection, image collection to find images similar objectives, contains a variety of information collection methods)

主要用于烧结金属材料孔隙率的分析计算，采用金相照片为素材(POROSITY ANLYSIS OF SINTERED MATERIALS)

MD_MUSIC,多维MUSIC算法，测向算法，有工程意义，但运算量大。(MD_MUSIC，DOA，computational expense)

层次分析法，建立层次结构模型是十分关键的一步。现给出一些判断矩阵（方案层判断矩阵和转一层判断矩阵），编程以实现权值的计算和一致性检验(AHP, hierarchy model is a very critical step. Now given judgment matrix (matrix and turn the program layer to determine a layer of judgment matrix), and programming in order to achieve the calculation of the weights and the consistency test)

人工免疫算法，采用信息熵计算抗体多样性，亲和力成熟通过克隆选择、细胞超变异来实现(Artificial immune algorithm, using information entropy calculated antibody diversity, affinity maturation through clonal selection, cell variant to achieve ultra-)

Texture Analysis Using DWT for Grape Plant Species Classification:- By observing leaf, we can easily identify plant but it is difficult to identify its species. In this project we developed an algorithm that gives user the ability to identify plant species based on photographs of the leaf. The core theme of this application is an algorithm that acquires statistical features of the leaves, and then classifies the species based on a novel combination of the computed texture feature analysis and wavelet analysis. While implementing this algorithm we have considered the Grape plant and its four species viz. Clone, Sonaka, Thomson and Manik. The algorithm is first trained against several samples of known plant species and then used to classify unknown query species. By using this algorithm we have achieved 93.33 efficiency

its good source code to be used . i used it downloading it from internet.