<li id="g22m4"></li> STC單片機資料 請用逗號分隔標簽 * 資料描述：
上傳時間： 2019-12-02
上傳用戶：hjd0303
針對永磁同步電機多個參數同時辨識時會出現欠秩的情況， 介紹了在 dq 坐標系下采用最小二乘法將多個參數分開辨識的方法。在硬件在環平臺上采用該方法對電阻、電感和磁鏈進行了辨識。最后進一步考慮到電阻和磁鏈受溫度的影響大， 進行了考慮溫升的電阻和磁鏈的辨識。經驗證， 該方法可以比較準確地辨識出電機參數。
上傳時間： 2019-12-05
上傳用戶：ni952777
在生活日益豐富， 活動多種多樣的今天， 人們在參加各項活動的同時不可避免的遇到活 動的考勤與簽到。傳統的簽到采用點名或自行簽名的方式有著耗時、代簽、難以統計等弊端。 而如今， 隨著互聯網的普及以及有著人工智能加持的服務， 我們的簽到系統也可以跟上時代 發展的步伐。 智能手機的普及， 微信已成為大家裝機必備的軟件之一， 深深地影響著人們的 生活習慣。而近年來火爆的微信小程序，借助微信這個平臺，憑借自身免下載、功能多樣、 體積小等特點日益流行。因此，借助微信小程序開發的考勤簽到系統能夠滿足活動的發起者、 活動的參與者的需求。
上傳時間： 2020-02-27
上傳用戶：zqszqs
fds 選擇文件 X 飛行器半實物仿真初案_
上傳時間： 2020-03-06
上傳用戶：stormfree
In order to improve the spectral efficiency in wireless communications, multiple antennas are employed at both transmitter and receiver sides, where the resulting system is referred to as the multiple-input multiple-output (MIMO) system. In MIMO systems, it is usually requiredto detect signals jointly as multiple signals are transmitted through multiple signal paths between the transmitter and the receiver. This joint detection becomes the MIMO detection.
標簽： Complexity Detection MIMO Low
上傳時間： 2020-05-27
上傳用戶：shancjb
Many applications have required the positioning accuracy of a Global Navigation Satellite System (GNSS). Some applications exist in environments that attenuate GNSS signals, and, consequently, the received GNSS signals become very weak. Examplesofsuchapplicationsarewirelessdevicepositioning,positioninginsensor networks that detect natural disasters, and orbit determination of geostationary and high earth orbit (HEO) satellites. Conventional GNSS receivers are not designed to work with weak signals. This book presents novel GNSS receiver algorithms that are designed to work with very weak signals.
標簽： Receivers Signals GNSS Weak for
上傳時間： 2020-06-09
上傳用戶：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.
標簽： Auto-Machine-Learning-Methods-Sys tems-Challenges
上傳時間： 2020-06-10
上傳用戶：shancjb
This manuscript is a partial draft of a book to be published in early 1994 by AddisonWesley (ISBN 0-201-63337-X). Addison-Wesley has given me permission to make drafts of the book available to the Tcl community to help meet the need for introductory documentation on Tcl and Tk until the book becomes available. Please observe the restrictions set forth in the copyright notice above: you’re welcome to make a copy for yourself or a friend but any sort of large-scale reproduction or reproduction for profit requires advance permission from Addison-Wesley
標簽： Toolkit
上傳時間： 2020-07-05
上傳用戶：
本文檔對無刷直流 (BLDC) 電機的使用進行了說明。 雖然可將無刷特點應用 于幾種類型的電機（交流同步電機、 步進電機、 開關磁阻電機和交流感應電機） ， BLDC 具有梯形反電動勢和（120 電角寬度） 矩形定子電流 的永磁同步機器被廣泛使用， 其次， 無刷直流驅動器顯示出極高的機械功率密度。這份應用報告涵蓋了 280x 控制器和從 BLDC 電機驅動中獲得高性能的某些系統注意事項。
上傳時間： 2020-10-21
上傳用戶：
選擇文件 X 雙色球彩票過濾器 綠色免費版
上傳時間： 2020-11-27
上傳用戶：
