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The PMSM FOC is made of several C modules, compatible with the free-of-charge IAR EWARM KickStart edition toolchain version 4.42. It is used to quickly evaluate both the MCU and the available tools. In addition, when used together with the STM32F103xx motor control starter kit (STM3210B-MCKIT) and PM motor, a motor can be made to run in a very short time. It also eliminates the need for time-consuming development of FOC and speed regulation algorithms by providing ready-to-use functions that let the user concentrate on the application layer. Moreover, it is possible to get rid of any speed sensor thanks to the sensorless algorithm for rotor position reconstruction.
標簽： free-of-charge compatible KickStart modules
上傳時間： 2014-01-09
上傳用戶：498732662
The FastICA package is a free (GPL) MATLAB program that implements the fast fixed-point algorithm for independent component analysis and projection pursuit. It features an easy-to-use graphical user interface, and a computationally powerful algorithm.
標簽： fixed-point implements algorithm FastICA
上傳時間： 2014-08-17
上傳用戶：yy541071797
JLAB is a set of Matlab functions I have written or co-written over the past fifteen years for the purpose of analyzing data. It consists of four hundred m-files spanning thirty thousand lines of code. JLAB includes functions ranging in complexity from one-line aliases to high-level algorithms for certain specialized tasks. These have been collected together and made publicly available for you to use, modify, and --- subject to certain very reasonable constraints --- to redistribute. Some of the highlights are: a suite of functions for the rapid manipulation of multi-component, potentially multi-dimensional datasets a systematic way of dealing with datasets having components of non-uniform length tools for fine-tuning figures using compact, straightforward statements and specialized functions for spectral and time / frequency analysis, including advanced wavelet algorithms developed by myself and collaborators.
標簽： co-written functions the fifteen
上傳時間： 2014-01-26
上傳用戶：hjshhyy
** File name: target.h ** Last modified Date: 2004-09-17 ** Last Version: 1.0 ** Descriptions: header file of the specific codes for LPC2100 target boards ** Every project should include a copy of this file, user may modify it as ne
標簽： Last Description modified Version
上傳時間： 2014-05-30
上傳用戶：wanghui2438
在網上很有名的德語語法手冊的離線版，經本人整理完成，如果喜歡請關注他的網址：http://home.debitel.net/user/xianjun/german/yu_fa.htm
標簽：
上傳時間： 2016-06-16
上傳用戶：plsee
This version of the book is a DRAFT! The chapters are mostly complete, but not carefully edited. Some of the debugging sections are not done, and not all chapters have exercises. If you have high-level comments about the organization of the book or the topics covered, please send me email at feedback{at}thinkpython{dot}com. It is probably too early for detailed comments like spelling errors.
標簽： carefully chapters complete version
上傳時間： 2014-08-29
上傳用戶：ayfeixiao
After an introduction to the history of mobile communications, this guide considers the basics of mobile radio, the design of cellular and private radio systems, and issues of interworking with the fixed network. It then looks at the role of the mobile radio operator, the design and operation of mobile radio networks, the needs of large user groups, and relevant regulatory and government decisions. A final section focuses on career development through resolution of conflicts, understanding managerial issues, and professional vehicles.
標簽： communications introduction considers the
上傳時間： 2016-06-24
上傳用戶：nanshan
pca人臉識別This package implements basic Principal Component Analysis in Matlab and tests is with grayscale portion of the FERET database. Images are not preprocessed and it is up to the user to preprocess the images as wanted, not changing the filenames
標簽： implements Principal Component Analysis
上傳時間： 2014-01-03
上傳用戶：佳期如夢
PCA人臉識別 This package implements basic Principal Component Analysis in Matlab and tests is with grayscale portion of the FERET database. Images are not preprocessed and it is up to the user to preprocess the images as wanted, not changing the filenames
標簽： implements Component Principal Analysis
上傳時間： 2016-06-25
上傳用戶：trepb001
PCA人臉識別 This package implements basic Principal Component Analysis in Matlab and tests is with grayscale portion of the FERET database. Images are not preprocessed and it is up to the user to preprocess the images as wanted, not changing the filenames
標簽： implements Component Principal Analysis
上傳時間： 2016-06-25
上傳用戶：hakim
