Weighted-ELM-Codes-for-Binary-Problems

慢速跳频，调制样式为DPSK(DPSK/FH)，包括信号的发射接收模型，自己写的代码，仅供参考。(Slow frequency hopping, modulation pattern for DPSK (DPSK/FH), including the launch of signal reception model, write your own code, for reference purposes only.)

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)

说明：  DSP本身在内的所有电子器件都是干扰源，而且系统所处的工作环境中还有很多外来干扰源，再加上语音识别技术对信号噪声非常敏感，所以在系统设计中必须考虑系统的抗干扰问题。(DSP itself, including all electronic devices are sources of interference, and the system environment in which there are many external sources of interference, coupled with voice recognition technology is very sensitive to signal noise, so the system design must consider the system of anti- interference problem.)

张量投票在matlab环境下的仿真。球型张量及棒型张量的仿真(Tensor voting in matlab simulation environment. Spherical and rod-type tensor tensor Simulation)

远场波束形成，MVDR波束形成，最小方差无失真响应(Far-field beamforming, MVDR beamforming, minimum variance distortion response)

AT91SAM7x256 EMAC程序。。。。。。(AT91SAM7x256 EMAC program。。。。。)

关于讲解曲线和曲面插值和拟合的MATLAB经典算法，并带有讲解PPT.(MatLab interpolation and fiting)

说明：  COFDM的simulink仿真（QPSK）(The simulink simulation of COFDM (QPSK))

介绍使用MATLAB软件对时间序列进行编程，里面有AR模型的建立方法(Describes the time series using MATLAB software programming, which has AR model method)

数据挖掘领域中的一种算法－ML-KNN是一种改进的最近邻算法(Data Mining in the area of an algorithm-ML-KNN is an improved nearest neighbor algorithm)