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Robust Adaptive Signal Processing With Robotics / Waleed Mohammed Nabeel Mohammed Sadek ; Supervised Amin Mohammed Nassar , Gamal Ahmed ElSheikh

By: Contributor(s): Language: Eng Publication details: Cairo : Waleed Mohammed Nabeel Mohammed Sadek , 2006Description: 85P : ill ; 30cmOther title:
  • المعالجة التكيفية المحكمة لبيانات الروبوت [Added title page title]
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  • Issued also as CD
Dissertation note: Thesis (M.Sc.) - Cairo University - Faculty Of Engineering - Department Of Electronics and Communications Summary: Filtering data in real - time requires dedicated hardware to meet demanding time requirementsIf the statistics of the signal are not known , then adaptive filtering algorithms can be implemented to estimate the signals statistics iterativelyMost sensors used in robotics are subject to a great deal of interference , variation , and changing results due to the ever - changing environmental conditionsAs a result , many people become rather frustrated that the results from the sensors change and give occasional false readings so that Robotic sensors needed to design efficient filtering structuresFurthermore , some manufacturers now include complete microprocessors within the robotic sensor fabricThis mix of hardware and embedded software on a single chip is ideal for fast filter structures with arithmetic intensive adaptive algorithms
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Item type Current library Home library Call number Status Date due Barcode
Thesis Thesis قاعة الرسائل الجامعية - الدور الاول المكتبة المركزبة الجديدة - جامعة القاهرة Cai01.13.08.M.Sc.2006.Wa.R (Browse shelf(Opens below)) Not for loan 01010110046228000
CD - Rom CD - Rom مخـــزن الرســائل الجـــامعية - البدروم المكتبة المركزبة الجديدة - جامعة القاهرة Cai01.13.08.M.Sc.2006.Wa.R (Browse shelf(Opens below)) Not for loan 01020110046228000

Thesis (M.Sc.) - Cairo University - Faculty Of Engineering - Department Of Electronics and Communications

Filtering data in real - time requires dedicated hardware to meet demanding time requirementsIf the statistics of the signal are not known , then adaptive filtering algorithms can be implemented to estimate the signals statistics iterativelyMost sensors used in robotics are subject to a great deal of interference , variation , and changing results due to the ever - changing environmental conditionsAs a result , many people become rather frustrated that the results from the sensors change and give occasional false readings so that Robotic sensors needed to design efficient filtering structuresFurthermore , some manufacturers now include complete microprocessors within the robotic sensor fabricThis mix of hardware and embedded software on a single chip is ideal for fast filter structures with arithmetic intensive adaptive algorithms

Issued also as CD

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