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GPS 多天线系统的姿态确定，matlab工具箱(A MATLAB toolbox for attitude determination with GPS multi-antenna systems)

伪随机码的模糊函数程序，同时画出模糊函数图，零时延，零多普勒以及等高线图(Ambiguity function of pseudo-random code procedures, and plans to draw fuzzy function, zero delay, zero Doppler and the contour map)

用Matlab进行周期指数衰减信号的模拟(Cycle of exponential decay signal simulation using Matlab)

Matlab code for PSO for the testing of Unconstraints Optimization problem

cjiajia调用MATLAB实例，源代码(c++ to call MATLAB examples, source code)

点云三维重建，用matlab写成的，效果很好，而且速度也比较快(Point cloud reconstruction, written with matlab, works well, but speed is faster)

MATLAB初学者容易碰到的问题的相关解答，适合初学者的学习。(MATLAB for beginners easy to encounter problems related to answer, for beginners to learn.)

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)

File panduan BPNN pada matlab

利用matlab实现语音高频提升，即预加重处理。(Matlab voice high frequency boost that is pre-emphasized.)