mathmodel

用窗函数法设计FIR数字滤波器。包括：1.矩形窗2.三角窗3.汉宁窗4.海明窗5.布拉克曼窗6.凯泽窗等(FIR digital filter design with a window function method. Including: a rectangular window. Triangular window. Hanning Hamming window, Blackman window and Kaiser window)

Source to Distortion Ratio

实现拼图游戏功能，锻炼智力，供学习开发，了解另一种开发工具！(The realization of jigsaw puzzle function, mental exercise for the study and development, to understand another development tool!)

color image enhancement with watermarking

生物中关于复杂网络拓扑性分析中的聚类系数，使用MATLAB对矩阵进行计算(Creatures of complex network topology analysis, the clustering coefficient, using MATLAB to matrix to calculate)

这种方法的痕迹，并构建一个表面，是本地垂直到轴突纤维 (This method traces and construct a surface,that is locally perpendicular to a axonal fiber )

无线传感器的分簇算法。多轮选择簇头，簇内多跳(Wireless sensor clustering algorithm. Several rounds of cluster head selection)

OFDM simulation, including channel, transmitter, receiver, and simulink

声音处理的MATLAB程序：LPCAR2RF( Convert autoregressive coefficients to formant freq+amp+bw )

NP是美国匹兹堡大学的T.L.Saaty 教授于1996年提出了一种适应非独立的递阶层次结构的决策方法，它是在网络分析法（AHP）基础上发展而形成的一种新的实用决策方法。其关键步骤有以下几个： 1 确定因素，并建立网络层和控制层模型。 2 创建比较矩阵。 3 按照指标类型针对每列进行规范化。 4 求出每个比较矩阵的最大特征值和对应的特征向量。 5 一致性检验。如果不满足，则调整相应的比较矩阵中的元素。 6 将各个特征向量单位化(归一化)，组成判断矩阵。 7 将控制层的判断矩阵和网络层的判断矩阵相乘，得到加权超矩阵。 8 将加权超矩阵单位化(归一化)，求其K次幂收敛时的矩阵。其中第j列就是网络层中各元素对于元素j的极限排序向量。 (NP is a professor at the University of Pittsburgh TLSaaty presented in 1996, an adaptation of non-independent Hierarchy of decision-making method, which is the analytic network process (AHP) formed on the basis of the development of a new and practical decision-making method . The key steps are the following: A determining factor, and a network layer and control layer model. 2 create a comparison matrix. For each of the three types of indicators in accordance with normalized columns. 4 find the maximum for each comparison matrix eigenvalue and the corresponding eigenvectors. 5 consistency test. If not satisfied, then the comparison to adjust the corresponding matrix elements. 6 will each feature vector units of (normalized), to determine the composition of matrix. 7 to determine the control layer and network layer to determine matrix matrix multiplication, to be weighted super-matrix. 8 of the weighted super-matrix units of (normalized), seeking the powe)