matlab-and--2fsk

matlab初学者必备知识。通用简单的例子，速成matlab编程技巧(matlab beginners knowledge required. Common examples of simple, quick matlab programming skills)

DblGEGA 用双切点遗传优化求解一维无约束优化问题 (DblGEGA with double tangent point genetic optimization one-dimensional unconstrained optimization problems)

DOA 估计技术在无线通信中起着重要的作用。在这项技术的诸多算法中，music很经典，这里提供一个改进了是算法。(DOA estimation techniques in wireless communications have played an important role. The technology in many algorithms, music is classic, here is to provide a improved algorithm.)

IIR filters are one of two primary types of digital filters used in Digital Signal Processing (DSP) applications (the other type being FIR). IIR means Infinite Impulse Response .

沿直线最小化优化学习率的梯度下降法matlab版本的一个实例源代码，带轨迹收敛图。(a source code of steepest descent with learning rate to minimize along the line by matlab)

说明：  车桥耦合,实现结构动力分析与桥梁结构响应，车体数值分析(vehicle-bridge-coupled)

PCA算法的程序，能完成非高斯信号的预处理(PCA algorithm procedure to complete the non-Gaussian signal preprocessing)

matlab ctrllab30, CtrlLAB is a group of MATLAB functions which provide graphical interface to perform feedback system analysis and design tasks.(matlab ctrllab30, CtrlLAB is a group of MATLAB functions which provide graphicalinterface to perform feedback system analysis and design tasks.)

说明：  ：DBSCAN是一个基于密度的聚类算法。该算法将具有足够高密度的区域划分为簇，并可以在带有“噪声”的空间数 据库中发现任意形状的聚类。但DtLqCAN算法没有考虑非空间属性，且DBSCAN算法需扫描空间数据库中每个点的e一 邻域来寻找聚类，这使得DBSCAN算法的应用受到了一定的局限。文中提出了一种基于DBSCAN的算法，可以处理非空 间属性，同时又可以加快聚类的速度。(: DBSCAN is a density-based clustering algorithm. The algorithm has a sufficiently high density area is divided into clusters, and to be with the &quot noise&quot found in the spatial database clusters of arbitrary shape. But DtLqCAN algorithm did not consider non-spatial attributes, and spatial database DBSCAN algorithm to be scanned for each point e in the neighborhood to find a cluster, DBSCAN algorithm which makes the application subject to certain limitations. In this paper, an algorithm based on DBSCAN can handle the non-spatial attributes, can also speed up the clustering speed.)

good for power analysis