NLmeansfiltergai

FISMAT accommodates different arithmetic operators, fuzzification and defuzzification algorithm, implication relations, and different method of approximate reasoning such as Compositional Rule of Inference (CRI) and Approximate Analogical Reasoning Scheme based on Similarity Measure.

fuzzy_cluster模糊聚类分析，本函数使用的是直接聚类法，直接输出聚类信息，无返回值 输入参数data是需要分类的数据，将会对data的列分类，请输入数据前把需要分类的向量按列保存到矩阵data 输入参数numda是分类的分类点，如果不知道可以先省略，系统默认1-0依次减小用以方便判断分割点，然后用户再细分( Fuzzy_cluster fuzzy clustering analysis, the function uses the clustering method is direct, direct output clustering information, no return value input parameter data is needed to classify data, classification of data will be listed, enter the data before the need saved by the column vector classification matrix data to the input parameters numda profile classification point is, if you do not know can be omitted, in order to reduce the system default 1-0 split point for easy judgment, then the user is subdivided)

离散频谱比值校正法 hamming hanning(The ratio of discrete spectrum correction method hamming hanning )

使用时域有限差分法进行电磁波演，得到模型(FDTD to build a model)

the comb pilot aided channel estimation in ofdm modulation is considered. the power of pilot subchannels is under the control. The data experience frequency selective channel then the AWGN noise is added to make the situation worse. The bit error rate is ploted versus SNR.

Neumann Hoffman (20) autocorrelation function

对ＬＭＳ算法和ＲＬＳ算法进行了仿真，比较了它们之间的性能(On the LMS algorithm and RLS algorithm simulation, compares the performance between them )

光学模拟劈尖干涉的程序，可以用于教学模拟等场合。(optical wedge interference simulation procedures can be used for teaching simulation occasions.)

there is a matlab cod for Autonomous system, that describe to compute trajectory and point of the system, and plotting it.

Fuzzy c-means clustering (FCM) with spatial constraints (FCM_S) is an effective algorithm suitable for image segmentation. Its effectiveness contributes not only to introduction of fuzziness for belongingness of each pixel but also to exploitation of spatial contextual information. Although the contextual information can raise its insensitivity to noise to some extent, FCM_S (1) still lacks enough robustness to noise and outliers and (2) is not suitable for revealing non-Euclidean structure of the input data due to the use of Euclidean distance (L2 norm).