LVQ神经网络的预测——人脸朝向识别

UMTS turbo encoder simulimk

Feature selection method using similarity measure and fuzzy entroropy measures based on the article: P. Luukka, (2011) Feature Selection Using Fuzzy Entropy Measures with Similarity Classifier, Expert Systems with Applications, 38, pp. 4600-4607

步进频雷达成像系统设计与仿真实现mabatlb(step frequency system radar target imaging)

说明：  用ar法模拟脉动风时程的详细的程序，供大家参考讨论(Fluctuating wind ar Law Moot time program, for your reference discussion)

matlab应用的小程序 可以根据需要更改参数(matlab applications, applets can change parameters)

盘旋运动模型：模拟角速度不断变化的飞机盘旋运动(Variable speed ​ ​ circling motion model: simulate angular velocity changing planes circling motion)

在建模前先将数据利用PCA进行降维，将降维后的数据作为BP神经网络的输入因子，对数据进行拟合。(Before the first data modeling use PCA dimensionality reduction, the reduced dimensionality of the data as the input factor BP neural network, the data fitting.)

说明：  深海大洋，犹如浩渺宇宙，永远是神奇的远方美景！ 祝愿好奇诸君能够走进深蓝！BELLHOP 3D 是一扇小小的窗！ 在此感谢包（青华）老师、林（俊轩）老师、惠（俊英）老师的指导，也感谢吴老师、张老师的提醒！尤其感谢Michael B. Porter 对 BELLHOP 3D近40年孜孜不倦的探索！感谢国际科学社区对三维海洋传播声学永远的支持！更感谢由 Free Software 凝聚起来的全球自由科学家社区！(The deep ocean, like the vast universe, is always a magical distant beauty! I wish you all the curious gentlemen can go into the dark blue! uuuuuuuuuuu BELLHOP 3D is a small window! Thank you, Mr. Bao (Qinghua), Mr. Lin (Junxuan), Mr. Hui (Junying), for your guidance. Thank you, Mr. Wu and Mr. Zhang for their reminders. In particular, thanks to Michael B. Porter for his tireless exploration of BELLHOP 3D for nearly 40 years! Thank you for the support of the international scientific community for the three-dimensional ocean propagation acoustics forever! Thank you even more for the Free Software community of free scientists around the globe!)

用于信号特征提取、信号消噪，是国外的成品模型，D-S证据理论数据融合，表示出两帧图像间各个像素点的相对情况，分析了该信号的时域、频域、倒谱，循环谱等,均值便宜跟踪的示例。

这是进行自适应均衡的关键一步 很重要哦!!!还有一部分内容没有上载(This is a key step adaptive equalizer is very important Oh!!! There are not a part of the content uploaded)