%A为给定图像，归一化到[0,1]的矩阵 %W为双边滤波器（核）的边长/2 function B = bfilter2(A,w,sigma)% Pre-process input and select appropriate filter. % Verify that the input image exists and is valid. if~exist('A','var') || isempty(A)
esp8266 语音播放 //Priorities of the reader and the decoder thread. Higher = higher prio. #define PRIO_READER 11 #define PRIO_MAD 1 //The mp3 read buffer size. 2106 bytes should be enough for up to 48KHz mp3s according to the sox sources. Used by libmad
深度学习工具包 Deprecation notice. ----- This toolbox is outdated and no longer maintained. There are much better tools available for deep learning than this toolbox, e.g. [Theano](http://deeplearning.net/software/theano/), [torch](http://torch.ch/) or [te
加速器粒子动力学软件模拟专业软件elegant说明书1.8 Known Bugs, Problems, and limitations
o The reFerenCE_- CORRECTION feature of the Csbend element is ignored while performing cal-
culations related to the moments_output command
etting CHANGE_T=1 on RFCA and rFCW element
核主元分析KPCA的降维特征提取以及故障检测应用-KPCA_v2.zip 本帖最后由 iqiukp 于 2018-11-9 15:02 编辑 核主元分析（Kernel principal component analysis ，KPCA）在降维、特征提取以及故障检测中的应用。主要功能有：（1）训练数据和测试数据的非线性主元提取（降维、特征提取） （2）SPE和T2统计量及其控制限的计算 （3）故障检测 参考文献： Lee J M, Yoo C K, Choi S W, et al.
