This work presents a modified modulus projection algorithm for decoding Redundant Residue Number System (RRNS) codes. RRNS code is maximum-minimum distance block codes. RRNS has found wider applications in the field of signal processing especially for error control. The essence of this modification is to reduce the required computation overhead and speed up the operation. The proposed method involves conversion of the received residues into mixed radix form. Based on the error detecting capability of RRNS code under study, moduli projection is carried out iteratively to determine the corresponding integers. The proposed algorithm considerably reduces the number of required iterations involved in the recovery process, therefore improving the speed of decoding operation.
"synopsis" may belong to another edition of this title.
Amusa K. Akinwale is a doctoral candidate and lecturer in the department of Electrical Electronics engineering, Federal University of Agriculture, Abeokuta, Nigeria. Nwoye E. Okeke is an Associate Professor and lecturer in the department of Biomedical Engineering, university of Lagos, Lagos, Nigeria.
"About this title" may belong to another edition of this title.
Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This work presents a modified modulus projection algorithm for decoding Redundant Residue Number System (RRNS) codes. RRNS code is maximum-minimum distance block codes. RRNS has found wider applications in the field of signal processing especially for error control. The essence of this modification is to reduce the required computation overhead and speed up the operation. The proposed method involves conversion of the received residues into mixed radix form. Based on the error detecting capability of RRNS code under study, moduli projection is carried out iteratively to determine the corresponding integers. The proposed algorithm considerably reduces the number of required iterations involved in the recovery process, therefore improving the speed of decoding operation. 76 pp. Englisch. Seller Inventory # 9783659913242
Seller: Books Puddle, Woodside, NY, U.S.A.
Condition: New. Seller Inventory # 26404108261
Seller: Majestic Books, Hounslow, United Kingdom
Condition: New. Print on Demand. Seller Inventory # 409046074
Quantity: 4 available
Seller: Biblios, Frankfurt am main, HESSE, Germany
Condition: New. PRINT ON DEMAND. Seller Inventory # 18404108271
Seller: moluna, Greven, Germany
Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Amusa Akinwale K.Amusa K. Akinwale is a doctoral candidate and lecturer in the department of Electrical Electronics engineering, Federal University of Agriculture, Abeokuta, Nigeria. Nwoye E. Okeke is an Associate Professor and lectu. Seller Inventory # 158125252
Quantity: Over 20 available
Seller: Revaluation Books, Exeter, United Kingdom
Paperback. Condition: Brand New. 76 pages. 8.66x5.91x0.18 inches. In Stock. Seller Inventory # __3659913243
Quantity: 1 available
Seller: buchversandmimpf2000, Emtmannsberg, BAYE, Germany
Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -This work presents a modified modulus projection algorithm for decoding Redundant Residue Number System (RRNS) codes. RRNS code is maximum-minimum distance block codes. RRNS has found wider applications in the field of signal processing especially for error control. The essence of this modification is to reduce the required computation overhead and speed up the operation. The proposed method involves conversion of the received residues into mixed radix form. Based on the error detecting capability of RRNS code under study, moduli projection is carried out iteratively to determine the corresponding integers. The proposed algorithm considerably reduces the number of required iterations involved in the recovery process, therefore improving the speed of decoding operation.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 76 pp. Englisch. Seller Inventory # 9783659913242
Seller: AHA-BUCH GmbH, Einbeck, Germany
Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - This work presents a modified modulus projection algorithm for decoding Redundant Residue Number System (RRNS) codes. RRNS code is maximum-minimum distance block codes. RRNS has found wider applications in the field of signal processing especially for error control. The essence of this modification is to reduce the required computation overhead and speed up the operation. The proposed method involves conversion of the received residues into mixed radix form. Based on the error detecting capability of RRNS code under study, moduli projection is carried out iteratively to determine the corresponding integers. The proposed algorithm considerably reduces the number of required iterations involved in the recovery process, therefore improving the speed of decoding operation. Seller Inventory # 9783659913242
Seller: preigu, Osnabrück, Germany
Taschenbuch. Condition: Neu. Modulus Projection Approach to Decoding of RRNS Codes | Akinwale K. Amusa (u. a.) | Taschenbuch | 76 S. | Englisch | 2016 | LAP LAMBERT Academic Publishing | EAN 9783659913242 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu. Seller Inventory # 103516945