bv_cvxbook

说明：  详细介绍如何使用matlab的一本书。非常的不错哦(Details of how to use matlab in a book. Oh, very good)

Fourier Transform in Mathlab

建立正弦，矩形和白噪声的波形，然后对他们进行频谱分析。(Sine, rectangle and white noise waveform, and spectrum analysis.)

关于恒速风电机机组的matlab仿真，可以了解恒速风电机组的相关运行特性(modeling and simulation of Constant Speed Wind Power Unit This simulation gives an example of Modeling and simulation of Constant Speed Wind Power (CSWP) coupled with wind turbine. Latest researches and developments which have been published in imminent journals, you can get it if you are interested in it. Because of the advantages of the CSWP over other generators it is being used for most of the wind applications. Various researches have been done in modelling and simulation field of CSWP coupled with wind turbine. This simulation visualise the researches in the area of study of CSWP, its modelling, simulation and performance analysis of CSWP coupled with wind turbine. )

包含Understanding and implementing the finite element method这本书，以及具体的matlab程序源码，该书是Mark S. Gockenbach 于2006完成出版的(Contain Understanding and implementing the finite element method this book, as well as specific matlab program source code, the book is Mark S. Gockenbach completed in 2006 and published in the)

dielectric waveguide optiwave simulation

模块多电平升压降压变换器仿真模型，完美运行，各电流电压均正常，可分析谐波(Module multi-level step-up buck converter simulation model, the perfect run, the current and voltage are normal, can be analyzed harmonic)

基于Matlab的人工势场法下路径规划与避障(Path planning and obstacle avoidance under artificial potential field based on Matlab)

bulk endpoint endless source/sink firmware. EP2OUT will always accept a bulk OUT EP4OUT will always accept a bulk OUT EP6IN will always return a 512 byte packet. The packet contains an incrementing byte starting at 0x02. Since EP6 always returns a 512 byte packet, this endpoint should never be accessed except with a high-speed host controller. EP8IN will continuously return the packet most recently written to EP4OUT

原始snake matlab 源碼，簡單版( seg = localized_seg(I,init_mask,max_its,rad,alpha,method) Inputs: I 2D image init_mask Initialization (1 = foreground, 0 = bg) max_its Number of iterations to run segmentation for rad (optional) Localization Radius (in pixels) smaller = more local, bigger = more global alpha (optional) Weight of smoothing term higer = smoother method (optional) selects localized energy 1 = Chan-Vese Energy 2 = Yezzi Energy (usually works better))