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.
Die Inhaltsangabe kann sich auf eine andere Ausgabe dieses Titels beziehen.
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.
„Über diesen Titel“ kann sich auf eine andere Ausgabe dieses Titels beziehen.
Anbieter: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Deutschland
Taschenbuch. Zustand: 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. Bestandsnummer des Verkäufers 9783659913242
Anzahl: 1 verfügbar
Anbieter: Books Puddle, Woodside, NY, USA
Zustand: New. Bestandsnummer des Verkäufers 26404108261
Anzahl: 4 verfügbar
Anbieter: Majestic Books, Hounslow, Vereinigtes Königreich
Zustand: New. Print on Demand. Bestandsnummer des Verkäufers 409046074
Anzahl: 4 verfügbar
Anbieter: Biblios, Frankfurt am main, HESSE, Deutschland
Zustand: New. PRINT ON DEMAND. Bestandsnummer des Verkäufers 18404108271
Anzahl: 4 verfügbar
Anbieter: moluna, Greven, Deutschland
Zustand: 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. Bestandsnummer des Verkäufers 158125252
Anzahl: Mehr als 20 verfügbar
Anbieter: Revaluation Books, Exeter, Vereinigtes Königreich
Paperback. Zustand: Brand New. 76 pages. 8.66x5.91x0.18 inches. In Stock. Bestandsnummer des Verkäufers __3659913243
Anzahl: 1 verfügbar
Anbieter: buchversandmimpf2000, Emtmannsberg, BAYE, Deutschland
Taschenbuch. Zustand: 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. Bestandsnummer des Verkäufers 9783659913242
Anzahl: 1 verfügbar
Anbieter: AHA-BUCH GmbH, Einbeck, Deutschland
Taschenbuch. Zustand: 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. Bestandsnummer des Verkäufers 9783659913242
Anzahl: 1 verfügbar
Anbieter: preigu, Osnabrück, Deutschland
Taschenbuch. Zustand: 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. Bestandsnummer des Verkäufers 103516945
Anzahl: 5 verfügbar