Dynasty 350, 700 208/575 Volt Models W/Auto-Line Maxstar 350, 700 File: TIG (GTAW) Including Optional Cart And Cooler CE And Non-CE Models
上传时间： 2017-03-11
上传用户：zosoong
是否要先打开ALLEGRO? 不需要(当然你的机器须有CADENCE系统)。生成完封装后在你的输出目录下就会有几千个器件（全部生成的话）,默认输出目录为c:\MySym\. Level里面的Minimum, Nominal, Maximum 是什么意思？ 对应ipc7351A的ABC封装吗？ 是的 能否将MOST, NOMINAL, LEAST三种有差别的封装在命名上也体现出差别？ NOMINAL 的名称最后没有后缀，MOST的后缀自动添加“Ｍ”，LEAST的后缀自动添加“L”，你看看生成的库名称就知道了。（直插件以及特别的器件，如BGA等是没有MOST和LEAST级别的，对这类器件只有NOMINAL） IC焊盘用长方形好像比用椭圆形的好，能不能生成长方形的？ 嗯。。。。基本上应该是非直角的焊盘比矩形的焊盘好，我记不得是AMD还是NS还是AD公司专门有篇文档讨论了这个问题，如果没有记错的话至少有以下好处：信号质量好、更省空间（特别是紧密设计中）、更省锡量。我过去有一篇帖子有一个倒角焊盘的SKILL，用于晶振电路和高速器件（如DDR的滤波电容)，原因是对宽度比较大的矩形用椭圆焊盘也不合适，这种情况下用自定义的矩形倒角焊盘就比较好了－－－你可以从网上另外一个DDR设计的例子中看到。 当然，我已经在程序中添加了一选择项，对一些矩形焊盘可以选择倒角方式. 刚才试了一下，感觉器件的命名的规范性不是太好，另好像不能生成器件的DEVICE文件，我没RUN完。。。 这个程序的命名方法基本参照IPC-7351，每个人都有自己的命名嗜好，仍是不好统一的；我是比较懒的啦，所以就尽量靠近IPC-7351了。 至于DEVICE，的选项已经添加 (这就是批量程序的好处，代码中加一行，重新生产的上千上万个封装就都有新东西了)。 你的库都是"-"的,请问用过ALLEGRO的兄弟,你们的FOOTPRINT认"-"吗?反正我的ALLEGRO只认"_"(下划线) 用“－”应该没有问题的，焊盘的命名我用的是"_"（这个一直没改动过）。 部分丝印画在焊盘上了。 丝印的问题我早已知道，只是尽量避免开（我有个可配置的SilkGap变量）,不过工作量比较大，有些已经改过，有些还没有；另外我没有特别费功夫在丝印上的另一个原因是，我通常最后用AUTO-SILK的来合并相关的层，这样既方便快捷也统一各个器件的丝印间距，用AUTO-SILK的话丝印线会自动避开SOLDER-MASK的。 点击allegro后命令行出现E- Can't change to directory: Files\FPM，什么原因？ 我想你一定是将FPM安装在一个含空格的目录里面了，比如C:\Program Files\等等之类，在自定义安装目录的时候该目录名不能含有空格，且存放生成的封装的目录名也不能含有空格。你如果用默认安装的话应该是不会有问题的, 默认FPM安装在C:\FPM，默认存放封装的目录为C:\MYSYM 0.04版用spb15.51生成时.allegro会死机.以前版本的Allegro封装生成器用spb15.51生成时没有死机现象 我在生成MELF类封装的时候有过一次死机现象，估计是文件操作错误导致ALLEGRO死机，原因是我没有找到在ｓｋｉｌｌ里面直接生成SHAPE焊盘的方法（FLASH和常规焊盘没问题）, 查了下资料也没有找到解决方法，所以只得在外部调用SCRIPT来将就一下了。（下次我再查查看），用SCRIPT的话文件访问比较频繁（幸好目前MELF类的器件不多）. 解决办法： １、对MELF类器件单独选择生成，其它的应该可以一次生成。 ２、试试最新的版本(当前0.05) 请说明运行在哪类器件的时候ALLEGRO出错，如果不是在MELF附近的话，请告知，谢谢。 用FPM0.04生成的封装好像文件都比较大，比如CAPC、RES等器件，都是300多K，而自己建的或采用PCB Libraries Eval生成的封装一般才几十K到100K左右，不知封装是不是包含了更多的信息？ 我的每个封装文件包含了几个文字层（REF,VAL,TOL,DEV,PARTNUMBER等),SILK和ASSEM也是分开的，BOND层和高度信息，还有些定位线(在DISP层）,可能这些越来越丰富的信息加大了生成文件的尺寸.你如果想看有什么内容的话，打开所有层就看见了（或REPORT） 非常感谢 LiWenHui 发现的BUG, 已经找到原因，是下面这行： axlDBChangeDesignExtents( '((-1000 -1000) (1000 1000))) 有尺寸空间开得太大，后又没有压缩的原因，现在生成的封装也只有几十K了，0.05版已经修复这个BUG了。 Allegro封装生成器0.04生成do-27封装不正确,生成封装的焊盘的位号为a,c.应该是A,B或者1,2才对. 呵呵，DIODE通常管脚名为AC(A = anode, C = cathode) 也有用AK 或 12的， 极少见AB。 除了DIODE和极个别插件以及BGA外，焊盘名字以数字为主, 下次我给DIODE一个选择项，可以选择AC 或 12 或 AK, 至于TRANSISTER我就不去区分BCE/CBE/ECB/EBC/GDS/GSD/DSG/DGS/SGD/SDG等了，这样会没完没了的，我将对TRANSISTER强制统一以数字编号了，如果用家非要改变，只得在生成库后手工修改。
标签： Footprint Maker 0.08 FPM skill
上传时间： 2018-01-10
上传用户：digitzing
The 4.0 kbit/s speech codec described in this paper is based on a Frequency Domain Interpolative (FDI) coding technique, which belongs to the class of prototype waveform Interpolation (PWI) coding techniques. The codec also has an integrated voice activity detector (VAD) and a noise reduction capability. The input signal is subjected to LPC analysis and the prediction residual is separated into a slowly evolving waveform (SEW) and a rapidly evolving waveform (REW) components. The SEW magnitude component is quantized using a hierarchical predictive vector quantization approach. The REW magnitude is quantized using a gain and a sub-band based shape. SEW and REW phases are derived at the decoder using a phase model, based on a transmitted measure of voice periodicity. The spectral (LSP) parameters are quantized using a combination of scalar and vector quantizers. The 4.0 kbits/s coder has an algorithmic delay of 60 ms and an estimated floating point complexity of 21.5 MIPS. The performance of this coder has been evaluated using in-house MOS tests under various conditions such as background noise. channel errors, self-tandem. and DTX mode of operation, and has been shown to be statistically equivalent to ITU-T (3.729 8 kbps codec across all conditions tested.
标签： frequency-domain interpolation performance Design kbit_s speech coder based and of
上传时间： 2018-04-08
上传用户：kilohorse
css美化有序列表，贴出部分css代码 <ol > <li>先涂粉底再涂防晒</li> <li>先涂防晒再涂粉底</li> </ol> <!doctype html> <html> <head> <title>CSS3 ordered list styles - demo</title> <style> body{ margin: 40px auto; width: 500px; } /* -------------------------------------- */ ol{ counter-reset: li; list-style: none; *list-style: decimal; font: 15px 'trebuchet MS', 'lucida sans'; padding: 0; margin-bottom: 4em; text-shadow: 0 1px 0 rgba(255,255,255,.5); } ol ol{ margin: 0 0 0 2em; } /* -------------------------------------- */
上传时间： 2018-08-22
上传用户：53660542
Static electricity is the most ancient form of electricity known to humans. More than 2000 years ago, the Greeks recognized the attraction between certain mate- rials when they were rubbed together; indeed, the word electricity comes from the Greek elektron, which means amber. During the seventeenth and eighteenth centuries, several key experiments were conducted to understand and measure static electricity. But the discovery of electromagnetism and its formidable break- through has rapidly outgrown interest in static electricity. Even today, where the industrial applications of static electricity are not insignificant, they cannot compare with those of electromagnetism and electrodynamics.
标签： Understand Discharge Electro Static
上传时间： 2020-06-05
上传用户：shancjb
Control systems are used to regulate an enormous variety of machines, products, and processes. They control quantities such as motion, temperature, heat flow, fluid flow, fluid pressure, tension, voltage, and current. Most concepts in control theory are based on having sensors to measure the quantity under control. In fact, control theory is often taught assuming the availability of near-perfect feedback signals. Unfortunately, such an assumption is often invalid. Physical sensors have shortcomings that can degrade a control system.
标签： Observers Control Systems in
上传时间： 2020-06-10
上传用户：shancjb
Signals convey information. Systems transform signals. This book introduces the mathe- matical models used to design and understand both. It is intended for students interested in developing a deep understanding of how to digitally create and manipulate signals to measure and control the physical world and to enhance human experience and communi- cation.
标签： Interpretation Structure and Signals Systems of
上传时间： 2020-06-10
上传用户：shancjb
The past decade has seen an explosion of machine learning research and appli- cations; especially, deep learning methods have enabled key advances in many applicationdomains,suchas computervision,speechprocessing,andgameplaying. However, the performance of many machine learning methods is very sensitive to a plethora of design decisions, which constitutes a considerable barrier for new users. This is particularly true in the booming field of deep learning, where human engineers need to select the right neural architectures, training procedures, regularization methods, and hyperparameters of all of these components in order to make their networks do what they are supposed to do with sufficient performance. This process has to be repeated for every application. Even experts are often left with tedious episodes of trial and error until they identify a good set of choices for a particular dataset.
标签： Auto-Machine-Learning-Methods-Sys tems-Challenges
上传时间： 2020-06-10
上传用户：shancjb
Bootstrap algorithm used to compute significance of a statistical measure performed on the array X
标签： bootstrap
上传时间： 2020-12-02
上传用户：
-file /win8.vdf 镜像文件名，无此参数将搜索当前目录的iso镜像 -dev PciRoot(0x0)/Pci(0x1,0x1)/Ata(Primary,Master,0x0)/HD(3,MBR,0x9553A441,0xEFFF800,0x13FF800) 设备路径，无此参数默认为当前设备 -wait 50 启动前等待 -mem 将镜像载入内存， -type HD 可选CD HD FD,无此参数默认HD镜像类型，类型错了不能启动 -dev auto 搜索所有设备
上传时间： 2020-12-20
上传用户：
