multi-project1

说明：  基于径向基神经网络的算法逼近低通滤波器，用Matlab编程实现(Based on RBF Neural Network Approximation algorithm low-pass filter, using Matlab programming)

OFDM 系统仿真 基于802.11a系统的仿真 OFDM的 IDFT/DFT实现(OFDM system simulation based on 802.11a OFDM system simulation of IDFT/DFT achieve)

mathematica5简明教程 关于mathematica的教程，值得看一看咯！！！(mathematica5 concise tutorial mathematica about the tutorial, it is worth a look pyronaridine! ! !)

说明：  一本很不错的SIMULINK教程，共享给大家(A very good tutorial SIMULINK, share to everyone)

matlab的经典算法和讲义，包括常用的算法，并附带程序(matlab classic algorithms and handouts, including the commonly used algorithm, and comes with the program)

MPSK和QAM仿真，AWGN信道，误码率与Es/N0的关系和理论关系式的对比。(MPSK or MQAM modulated signal s relationship between BER and Es/N0 in AWGN channel,compared with the ideal function given by theory.)

matlab图像处理实例详解chap12——形态学图像处理(matlab image processing examples explain chap12- morphological image processing)

针对二维矩形条带装箱问题提出了一种启发式布局算法，即底部左齐择优匹配算法（lowest—level left align bestfit，简称LLABF）．LLABF算法遵循最佳匹配优先原则，该原则综合考虑完全匹配优先、宽度匹配优先、高度匹配优先、组合宽度匹配优先及可装入优先等启发式规则．与BL（bottom-left），IBL（improved-bottom-left）与BLF（bottom—left-fill）等启发算法不同的是，LLABF能够在矩形装入过程中自动选择与可装区域匹配的下一个待装矩形．计算结果表明，LLABF结合遗传算法（genetie algorithm,简称GA）解决二维条带装箱问题更加有效．(A heuristic placement algorithm for two-dimensional rectangular strip packing problem is proposed, which is called bottom-level left align best fit algorithm (LLABF). Different from BL (bottom-left), IBL (improved-bottom-left) and BLF (bottom-left-fill) heuristic algorithms, LLABF can automatically select the next rectangle to be loaded that matches the mountable region during the rectangular loading process. Genetie algorithm (GA) is more effective to solve the two-dimensional strip packing problem.)

my_seg_for_post_filtering_it is used for segmentation

说明：  MATLAB命令大全，帮助大家快速查找MATLAB命令(Encyclopedia of MATLAB commands to help you quickly find MATLAB command)