newton

Non-Causal IIR Filter Part 1: Setting up the Input signal to the Wiener Filter Part 2: Seperating the negative lags and positive lags... The one at 0 index is clustered together in the positive part highqq

一个统计语言识别系统一般采用移自动语言识别三角洲系数（议会）功能。学童牙科保健服务堆叠比例系数的几帧三角洲的版本。 南区区议会及其应用的详细描述可在西医坎贝尔先生，J.P.坎贝尔，D.A.雷诺，大肠杆菌歌手，年息托雷斯- Carrasquillo，扬声器和语言识别，计算机语音和语言，第20卷，问题2-3，奥德赛2004支持向量机：演讲者与语言识别工作坊 -奥德赛- 04，四月至2006年7月，页210-229。 此代码是一个快速实现移三角洲系数（在MATLAB）。( A statistical language recognition system generally uses shifted delta coefficient (SDC) feature for automatic language recognition. SDCs are stacked version of delta cofficient over several frames. The detail descriptions of SDC and its applications are available in W.M. Campbell, J.P. Campbell, D.A. Reynolds, E. Singer, P.A. Torres-Carrasquillo, Support vector machines for speaker and language recognition, Computer Speech & Language, Volume 20, Issues 2-3, Odyssey 2004: The speaker and Language Recognition Workshop- Odyssey-04, April-July 2006, Pages 210-229. This code is a fast implementation (in MATLAB) of Shifted Delta Coefficient.)

This code is used to create input files for the 2D FEM solver used in ME 413 course. It uses the freely available mesh2d mesh generator to create the mesh.

基于遗传算算法的动态寻优算法，对于微小变化的环境很实用。(Based on the genetic algorithm is the dynamic optimum algorithm, for a small change environment is very practical.)

Simple threshold segmentation of medical CT data in DICOM data representation.

二维方位角/仰角music算法DOA估计程序，阵元采用均匀园阵(2D azimuth/elevation algorithm music DOA estimation procedures, the element array uniform Park)

力学中计算夹杂eshelby张量和平均eshelby张量，能够计算各向异性基体中椭球夹杂和各向同性基体锥形夹杂(eshelby tensor)

Demons registration算法的matlab源码(matlab sourse code for Demons Registration)

可进行图像分割 对于光纤图像 可分别初芯婧与外套(Image segmentation can be performed separately for the beginning of the image fiber core and the jacket Jing)

摘要地层控制分析与设计问题 无人机（UAV）群系统实现时间。 研究了不同的地层。达到预定时间- 无人机的编队、编队协议各不相同。 首先是群系统，无人机的速度可能不同 当到达编队时。然后，基于共识的方法 用于处理时变信息的形成控制 无人机群系统的问题。必要和充分 无人机群系统实现时变的条件 提出了构造方案。(Abstract-formation control analysis and design problems for unmanned aerial vehicle (UAV) swarm systems to achieve time. varying formations are investigated. To achieve predefined time- varying formations, formation protocols are presented for UAV swarm systems first, where the velocities of UAVS can be different when achieving formations. Then, consensus-based approaches are applied to deal with the time-varyin formation control problems for UAV swarm systems. Necessary and sufficient conditions for UAV swarm systems to achieve time-varying formations are proposed.)