bercomp

若干种r/s估值法源代码，试试看很好用，有没有朋友有其他估值法下的源代码？麻烦上传分享一下，(Number of r/s valuation method source code, give it a try very good, and have no friends there are other valuation method under the source code? From trouble to share,)

一种基于最小熵反褶积( ]8+83)3 6+D*(A4 Q20(+W(-)D8(+，]6Q) 的滚动轴承故障特征提取方法: 在利用 /X 模型去除齿轮啮合产生的确定性信号的基础上，对保留信号进行最小熵反褶积，增强冲击信号"该方法避免了传统轴承故障诊断方法中带通滤波器设计的难题，实车测试表明: 与共振解调技术相比，该方法提取的滚动轴承故障特征更加明显，更适合于工程应用"(Based on minimum entropy deconvolution (] 8+83) 3 6+D* (A4 Q20 (+W (-) D8 (+,] 6Q)' s fault feature extraction method: using/X model to remove the uncertainty generated signal gear on the basis of the retention signal minimum entropy deconvolution, and enhance the impact of signal " This method avoids the problems of traditional bearing fault diagnosis method of the bandpass filter design, real vehicle test showed that: compared with the resonance demodulation technology, which fault feature extraction method is more obvious, more suitable for engineering applications. " )

低压省煤器相关结构参数的优化程序，使用粒子群优化方法进行优化。(Low pressure economizer structure parameter optimization program, the use of particle swarm optimization method for optimization.)

texture segmentation with gabor filters

该文件中包含二次规划中涉及的matlab程序，包含拉格朗日法以及起作用集法(This file contains the quadratic programming matlab procedures involved, including the Lagrangian method and set method works)

fdtdq.m 球面坐标系的fdtd实现程序 fdtdgpu.m 使用gpu并行的fdtd实现程序(The FDTD realization program of fdtdq.m spherical coordinate system Fdtdgpu.m uses a GPU Parallel FDTD implementation program)

本程序为一维fdtd代码。激励为高斯脉冲。边界为pml。(This program is one-dimensional fdtd code. Gaussian pulse excitation. Boundary pml.)

本文详尽阐述了如何在matlab环境下使用matlab 7.0，教程，pdf版本(This article elaborates how to use the matlab environment matlab 7.0, tutorial, pdf version)

ofdm在matlab上的仿真程序，并且是可视化的matlab程序(ofdm simulation)

计算机视觉大牛Andrew Blake著的书。 《视觉和图像处理中的马尔科夫随机场》 Markov random fields for vision and image processing(This book sets out to demonstrate the power of the Markov random field (MRF) in vision.It treats the MRF both as a tool for modeling image data and, coupled with a set of recently developed algorithms, as a means of making inferences about images. The inferences concern underlying image and scene structure to solve problems such as image reconstruction, image segmentation, 3D vision, and object labeling. This chapter is designed to present some of the main concepts used in MRFs, both as a taster and as a gateway to the more detailed chapters that follow, as well as a stand-alone introduction to MRFs.)