lfm_RV

利用人工势场法进行移动机器人的路径规划的matlab程序。包含具体的讲解。(The use of artificial potential field method for mobile robot path planning matlab procedures. Contains specific explanation.)

说明：  调用.csv文件格式或者Excel格式文件实现Matlab数学算法：图像或图形的再现、时域和频域的信号分析和处理(call. Csv file format or Excel format Matlab mathematical algorithms to achieve : images or graphics to recreate the time domain and frequency domain signal analysis and processing)

本书全面阐述了Matlab的所有关键特性和功能，提供了精通Matlab所需要的所有方法和手段，通过实例向读者展示如何编写高效的Matlab代码。(Matlab book comprehensively expounded all the key features and functionality, providing all the required proficiency in Matlab ways and means, an example to show the reader how to write efficient Matlab code.)

波达方向估计；MUSIC算法；改进MUSIC算法；修正MUSIC算法(Key words：Direction ofArrival(DOA)estimation；Multiple SignalClassification(MUSIC)algorithm；improved MUSIC algorithm；modified MUSIC algorithm)

利用自然梯度算法，IMC-PID是利用内模控制原理来对PID参数进行计算，虚拟力的无线传感网络覆盖，包含了阵列信号处理的常见算法，关于小波的matlab复合分析，代码里有很完整的注释和解释，采用波束成形技术的BER计算，使用大量的有限元法求解偏微分方程。( Use of natural gradient algorithm, The IMC- PID is using the internal model control principle for PID parameters is calculated, Virtual power wireless sensor network coverage, Contains a common array signal processing algorithm, Matlab wavelet analysis on complex, Code, there are very complete notes and explanations By applying the beam forming technology of BER Using a large number of finite element method to solve partial differential equations.)

matlab的87个实例，基本上涵盖了matlab得许多操作函数和图像处理方法，对大家的学习很有帮助。(87 instances of matlab, matlab have basically covered many operations functions and image processing method, all very helpful.)

多机电力系统仿真及其潮流计算，Matlab/Simulink(Multi-machine power system simulation and power flow calculation, Matlab/Simulink)

安捷伦agilent示波器上以bin格式保存的数据文件的matlab读取程序，源自matlabworks论坛(Agilent agilent oscilloscope to bin format to read matlab data file procedures, from matlabworks Forum)

杂波环境下基于JPDA的二平台2变加速运动目标航迹关联与融合仿真程序(JPDA based target tracking in clutter)

对于给定的贝叶斯网络和数据，寻找最可能的决策。 (Find the most likely decision given a Bayesian belief network and data )