wesseling

实用matlab教程，包括simulink,图形处理，GUI，数值计算等的详细说明(Practical Matlab tutorials, including a detailed description of the simulink, graphics processing, the GUI, numerical calculation, etc.)

说明：  fdtd 例程，了了解和学习FDTD方法的基础，呵呵，很不错的哦(fdtd routines, understanding and learning based on the FDTD method, huh, oh very good)

this program is matlab

说明：  m序列Matlab程序，一个主程序，一个调用子程序(m sequence of Matlab program, a main program, a subroutine call)

说明：  Matlab中一种图像变声音的简单演示程序源代码。(Matlab image becomes a voice of a simple demonstration program source code.)

说明：  风电机组仿真模型用于虚拟仿真,国外大型科研机构研发，很有借鉴和实际意义的。(wind turbine model used to simunlink the large scale wind turbine, it is very good. )

基于k_l的人脸识别，费了很大力气搜来的，与大家分享一下。(K_l-based face recognition, a lot of trouble to search for, share with you.)

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.)

IBR图像拼接程序，直接能用，非常好，基于简单的IBR图像拼接(IBR image stitching process can be used directly, very good image mosaic based on a simple IBR)

绝对齐全的语音识别代码，包括hmm dtw和语音特征的提取部分，有详细的说明和讲解(Absolutely wonderful speech recognition code, including the HMM DTW and speech feature extraction part, a detailed description and explanation)