资源列表
CIFFspec
- CIFF Specification on Image Data File Version : 1.0 revision 4 Date : December 24, 1997
TIFFspec
- TIFF Revision 6.0 Final — June 3, 1992
Torrent-file-analysis
- 用实际的例子对Torrent文件结构解析，说明Torrent文件的实际结构-Torrent file structure for the practical example, the structure of the Torrent file
matlabalingo
- 2000年数学建模B题 材料运输 程序代码-Mathematical modeling in 2000 B material transportation program code
STM32f100xx
- STM32F100x4 STM32F100x6 STM32F100x8 STM32F100xB Low & medium-density value line, advanced ARM-based 32-bit MCU with 16 to 128 KB Flash, 12 timers, ADC, DAC & 8 comm interfaces
Attachments_201358
- this about variable structure
D
- 任何一门语言,都要注意源码格式书写规范.下面说说Delphi 源码格式书写规范.-Any one language, we must pay attention to source code written in the format specification. Following talk Delphi source code written in the format specification.
q
- 一般常用的c++实例，希望能对大家有用，包括以下内容简单计算器、累加一行字符中的数字、求素数、打印菱形等-Commonly used c++ instance, we hope to be useful, including the following simple calculator, cumulative figures in his characters, find prime numbers, print diamond, etc.
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- 滚动轴承是各种机电设备中的重要部件，其主要特点是其寿命的随机性较大，且它的好坏直接影响到设备的正常运行。因而掌握轴承运行的工作状态以及故障的形成和发展是目前机械故障诊断领域中研究的重要内容之一。利用轴承的随机振动信号对其工作状态进行诊断是目前最常用的方法-Rolling is a variety of mechanical and electrical equipment is an important component, its main feature is its randomness
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- 滚动轴承故障诊断是机械故障检测中一个重要方面。使用小波包分析和包络分析相结合的方法提取轴承微弱振动信号, 克服了传统包络分析方法易丢失信号有效成分的缺点。包络信号的细化谱较好体现了轴承故障信息。-Bearing Fault Diagnosis of mechanical fault detection in an important aspect. The use of wavelet packet analysis and envelope analysis method of combini
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- 论述了小波包分解及其能量谱处理发动机连杆轴承故障的原理与方法, 结合传统断火诊断法的思想,应用小波包能量谱直观地识别出故障的特征频带, 并进行量化分析, 结果证明了这种方法比传统的付立叶分析方法具有更大的优越性及现实的应用价值-Discussed and wavelet packet energy spectrum processing engine connecting rod bearing failure principles and methods, combined with trad
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- 小波分析可同时从时域和频域两个方面对信号进行分析，结合包络分析十分适合滚动轴承的故障特征提取；基于双通道的全矢小波分析方法不仅对单通道小波分析方法具有兼容性，而且弥补了传统的基于单通道信 息进行旋转机械故障特征提取造成的信息量不完整、易导致误诊的弊端。结果表明，在针对滚动轴承外圈故障特征提取时，全矢小波分析方法较小波一包络分析方法具有一定的优势。 -Wavelet analysis simultaneously from the time domain and frequency doma