the research file from Globalcom 2008 workshop. The latest research Paper in HFB
標(biāo)簽： research Globalcom workshop latest
上傳時(shí)間： 2016-12-31
上傳用戶：410805624
alert this Paper illuminates the corresponding policies，managements and role of distinguished interest-individualin differentstages，which administerssuggestionsonhow to putforwardpoliciesand implementing ordinanceto China’sPackagingW aste M anagement．
標(biāo)簽： corresponding illuminates policies alert
上傳時(shí)間： 2014-01-10
上傳用戶：cx111111
if you want to it you can download and i m a student,this is a Paper,I m wish it can help you.
標(biāo)簽： you can download student
上傳時(shí)間： 2014-01-16
上傳用戶：氣溫達(dá)上千萬的
HD Video Encoding with DSP and FPGA Partitioning White Paper
標(biāo)簽： Partitioning Encoding Video Paper
上傳時(shí)間： 2013-12-25
上傳用戶：rishian
This Paper studies the problem of tracking a ballistic object in the reentry phase by processing radar measurements. A suitable (highly nonlinear) model of target motion is developed and the theoretical Cramer—Rao lower bounds (CRLB) of estimation error are derived. The estimation performance (error mean and
標(biāo)簽： processing ballistic the tracking
上傳時(shí)間： 2014-10-31
上傳用戶：yyyyyyyyyy
This Paper studies the problem of tracking a ballistic object in the reentry phase by processing radar measurements. A suitable (highly nonlinear) model of target motion is developed and the theoretical Cramer—Rao lower bounds (CRLB) of estimation error are derived. The estimation performance (error mean and
標(biāo)簽： processing ballistic the tracking
上傳時(shí)間： 2014-01-14
上傳用戶：奇奇奔奔
This Paper studies the problem of tracking a ballistic object in the reentry phase by processing radar measurements. A suitable (highly nonlinear) model of target motion is developed and the theoretical Cramer—Rao lower bounds (CRLB) of estimation error are derived. The estimation performance (error mean and
標(biāo)簽： processing ballistic the tracking
上傳時(shí)間： 2013-12-22
上傳用戶：asddsd
In this Paper, we describe the development of a rapidly reconfigurable system in which the users’ tacit knowledge and requirements are elicited via a process of Interactive Evolution, finding the image processing parameters to achieve the required goals without any need for specialised knowledge of the machine vision system. We show that the resulting segmentation can be quickly and easily evolved from scratch, and achieves detection rates comparable to those of a hand-tuned system on a hot-rolled steel defect recognition problem.
標(biāo)簽： reconfigurable development the describe
上傳時(shí)間： 2014-01-05
上傳用戶：hopy
interactive mapping, an excellent Paper to illustrate the interactive mapping
標(biāo)簽： interactive mapping illustrate excellent
上傳時(shí)間： 2014-12-01
上傳用戶：
ACM Paper Texture Mapping
標(biāo)簽： Texture Mapping Paper ACM
上傳時(shí)間： 2014-12-19
上傳用戶：kernaling
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