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Design of a reconfigurable power-adaptive high-resolution neural data compression algorithm / (Record no. 67054)

MARC details
000 -LEADER
fixed length control field 01771cam a2200313 a 4500
003 - CONTROL NUMBER IDENTIFIER
control field EG-GiCUC
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 180814s2017 ua dh f m 000 0 eng d
040 ## - CATALOGING SOURCE
Original cataloging agency EG-GiCUC
Language of cataloging eng
Transcribing agency EG-GiCUC
041 0# - LANGUAGE CODE
Language code of text/sound track or separate title eng
049 ## - LOCAL HOLDINGS (OCLC)
Holding library Deposite
097 ## - Thesis Degree
Thesis Level M.Sc
099 ## - LOCAL FREE-TEXT CALL NUMBER (OCLC)
Classification number Cai01.13.08.M.Sc.2017.Mo.D
100 0# - MAIN ENTRY--PERSONAL NAME
Personal name Mohammed Ashraf Hassan
245 10 - TITLE STATEMENT
Title Design of a reconfigurable power-adaptive high-resolution neural data compression algorithm /
Statement of responsibility, etc. Mohammed Ashraf Hassan ; Supervised Ahmed Eladawy , Hassan Mostafa
246 15 - VARYING FORM OF TITLE
Title proper/short title تصميم نموذج قابل للتكيف مع الطاقه لضغط البيانات العصبيه عالية الدقة
260 ## - PUBLICATION, DISTRIBUTION, ETC.
Place of publication, distribution, etc. Cairo :
Name of publisher, distributor, etc. Mohammed Ashraf Hassan ,
Date of publication, distribution, etc. 2017
300 ## - PHYSICAL DESCRIPTION
Extent 97 P. :
Other physical details charts , facsimiles ;
Dimensions 30cm
502 ## - DISSERTATION NOTE
Dissertation note Thesis (M.Sc.) - Cairo University - Faculty of Engineering - Department of Electronics and Communications
520 ## - SUMMARY, ETC.
Summary, etc. In this thesis, five different proposed low-power image compression algorithms based on discrete cosine transform (DCT) and discrete wavelet transform (DWT) are investigated and compared to provide the best trade-off between compression performance and hardware complexity. Finally, harvested power adaptive high-resolution neural data compression is introduced to control the compression algorithm according to available harvested power. Hence, maximum signal to noise and distortion ratio (SNDR) is achieved based on the available harvested power without any data loss
530 ## - ADDITIONAL PHYSICAL FORM AVAILABLE NOTE
Additional physical form available note Issued also as CD
653 #4 - INDEX TERM--UNCONTROLLED
Uncontrolled term Data compression
653 #4 - INDEX TERM--UNCONTROLLED
Uncontrolled term Low-power Design
653 #4 - INDEX TERM--UNCONTROLLED
Uncontrolled term Neural signals
700 0# - ADDED ENTRY--PERSONAL NAME
Personal name Ahmed Eladawy ,
Relator term
700 0# - ADDED ENTRY--PERSONAL NAME
Personal name Hassan Mostafa ,
Relator term
905 ## - LOCAL DATA ELEMENT E, LDE (RLIN)
Cataloger Enas
Reviser Cataloger
905 ## - LOCAL DATA ELEMENT E, LDE (RLIN)
Cataloger Nazla
Reviser Revisor
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Source of classification or shelving scheme Dewey Decimal Classification
Koha item type Thesis
Holdings
Source of classification or shelving scheme Not for loan Home library Current library Date acquired Full call number Barcode Date last seen Koha item type Copy number
Dewey Decimal Classification   المكتبة المركزبة الجديدة - جامعة القاهرة قاعة الرسائل الجامعية - الدور الاول 11.02.2024 Cai01.13.08.M.Sc.2017.Mo.D 01010110075419000 22.09.2023 Thesis  
Dewey Decimal Classification   المكتبة المركزبة الجديدة - جامعة القاهرة مخـــزن الرســائل الجـــامعية - البدروم 11.02.2024 Cai01.13.08.M.Sc.2017.Mo.D 01020110075419000 22.09.2023 CD - Rom 75419.CD