Neural-fuzzy-approximator-construction-basics

This function allow to plot a series of points represented in omogeneous coordinates or euclidean ones

Cell segmentation with morphologic operations

本书以移动通信系统为背景，系统介绍射频系统的各个模块的基本原理，分析其设计方法，以及射频系统的构成与设计的基本知识。本书内容主要包括：射频电路的特点与常见的移动通信系统、传输线、噪声与非线性失真、低噪声放大器、功率放大器、振荡器、锁相与频率合成技术、调幅与检波、调角与解调、数字调制与解调、收发信机的结构与设计等(The book mobile communication system as the background, the system introduces the basic principles of the various modules of the RF system, analyze the basics of composition and design of its design methods, and RF systems. This book includes: the RF circuit and the common features of a mobile communication system, transmission lines, noise and nonlinear distortion, low noise amplifiers, power amplifiers, oscillators, PLL frequency synthesizer technology, AM and detection, and de-tune the angle and other tone, the digital modulation and demodulation, the transceiver structure and design)

This code use a Differential Evolution optimization algorithm. and then optimize the learning rates of neural network. used is JENKIN s gasro and makey dataset.

运用music算法识别空间目标，附有注释，可改变方向角，深入浅出，本科毕设程序，绝对好用。( Space target recognition algorithm using music, annotated, can change the direction of the angle, in simple terms, undergraduate established procedures, the absolute ease.)

electrical engineering

A Guide to MATLAB for Beginners and Experienced Users - Hunt Lipsman & Rosenberg

统的联合概率数据关联算法(IPDA)是在密集杂波环境下的一种良好的多目标跟踪算法， 但它是针对单传感嚣对多目标跟踪的情况下使用，不能直接用于多传感器对多目标的跟踪。针对这 一问题，文中提出了一种适用于多传感器多目标跟踪的JPDA算法，它以极大似然估计完成对来自 多传感器的测量集合进行同源最优分划，然后采用JPDA方法对多目标进行跟踪。经过理论分析和 仿真试验，证明了该方法能有效地进行多传感器多目标的跟踪，且具有算法简单、跟踪精度高、附 加的计算量小等优点。(Abstract)m JointProbabilisticDataAssociation(JPDA)solves single sensormultitatgcttrackingin ClUtter,butitc锄not bc used directly in mnitisensor multitarget tracking．喇8 paper presents a method to implement multi—sensor multi—target tracking by combining maximum likelihood estimation wim JPDA The maximum Iikelihood estimation is used to classify the same source observations at one time into the same set,and血en JPDA implements multi—target uacking after the position fitsed．The theory analysis and computer simulation show that this algorithm may achieve multi—sensor multi—target tracking perfectly with low calculation load added and higher precision 。)

The model used for creating the reference voltage is shown in Fig. 4. First, photovoltaic output current (Ipv) and output voltage (Vpv) are passed through a first order low pass filter with a magnitude of G = 1 and a time constant of T = 0.01 seconds in order to filter out the high frequency components or harmonics from these signals as shown in Fig. 5 and Fig. 6. The filtered current and voltage signals (Ipv_F and Vpv_F) are then fed into the MPPT control block that uses the Incremental Conductance Tracking Algorithm. An algorithm that is based on the fact the slope of the PV array power curve shown in Fig. 7 is zero at the Maximum Power Point (MPP), positive on the left of the MPP, and negative on the right. The MPP can thus be tracked by comparing the instantaneous conductance (I/V) to the incremental conductance (∆ I/∆ V) [11] as in (1):

最经典的分簇路由LEACH，用matlab实现( a classic clustering routing for wireless sensor networks)