剑桥大学 Behavior of bulk high-temperature superconductors of finite thickness subjected to crossed magnetic fields : Experiment and model
标签： high-temperature superconductors subjected thickness
上传时间： 2014-01-13
上传用户：yuchunhai1990
WiSNAP: A Wireless Image Sensor Network Application Platform
标签： Application Platform Wireless Network
上传时间： 2013-12-06
上传用户：qq1604324866
Digital Signal and Image Processing Using MATLAB The most important theoretical aspects of image and signal processing (ISP) for both deterministic and random signals are covered in this guide to using MATLAB® . The discussion is also supported by exercises and computer simulations relating to real applications such as speech processing and fetal-heart–rhythm tracking, and more than 200 programs and functions for numerical experiments are provided with commentary.
标签： theoretical Processing important Digital
上传时间： 2016-07-08
上传用户：z1191176801
Reduce noise in Binary Image 二值图去噪小程序，matlab
上传时间： 2016-07-09
上传用户：王楚楚
Timing Synchronization in High Mobility OFDM Systems.IEEE Journal
标签： Synchronization Mobility Journal Systems
上传时间： 2016-07-21
上传用户：赵云兴
Solutions for High Speed PCB design
标签： Solutions design Speed High
上传时间： 2014-01-01
上传用户：chenbhdt
high speed pcb stackup
上传时间： 2014-02-28
上传用户：franktu
Program main BIOS image | | /B - Program Boot Block | | /N - Program NVRAM | | /C - Destroy CMOS checksum | | /E - Program Embedded Controller Block | | /K - Program all non-critical blocks | | /Kn - Program n th non-critical block only(n=0-7) | | /Q - Silent execution | | /REBOOT - Reboot after programming | | /X - Don t Check ROM ID | | /S - Display current system s ROMID | | /Ln - Load CMOS defaults
标签： Program Destroy Block NVRAM
上传时间： 2016-07-26
上传用户：wfl_yy
图像处理权威著作:数字图像处理(MATLAB版) Digital Image Processing Using MATLAB M代码
标签： MATLAB Processing Digital Image
上传时间： 2013-12-27
上传用户：ynzfm
Abstract—Wireless networks in combination with image sensors open up a multitude of previously unthinkable sensing applications. Capable tools and testbeds for these wireless image sensor networks can greatly accelerate development of complex, yet efficient algorithms that meet application requirements. In this paper, we introduce WiSNAP, a Matlab-based application development platform intended for wireless image sensor networks. It allows researchers and developers of such networks to investigate, design, and evaluate algorithms and applications using real target hardware. WiSNAP offers standardized and easy-to-use Application Program Interfaces (APIs) to control image sensors and wireless motes, which do not require detailed knowledge of the target hardware. Nonetheless, its open system architecture enables support of virtually any kind of sensor or wireless mote. Application examples are presented to illustrate the usage of WiSNAP as a powerful development tool.
标签： combination previously multitude Abstract
上传时间： 2013-12-03
上传用户：D&L37
