Items related to Fuzzy Based Pseudo Random Number Generator used for...
Synopsis
Direct sequence spread spectrum uses a carrier that remains fixed to a specific frequency band. The data signal, rather than being transmitted on a narrow band as is done in microwave communications, is spread onto a much larger range of frequencies using a specific encoding scheme. This encoding scheme is known as a Pseudo Noise sequence. The algorithm used by the PN sequence generates a Pseudo Random Number Generator that is then combined, through a binary encoding process, with the binary information from the data stream. In this book, three conventional types of PRNG were implemented. These are linear feed back shift register, nonlinear feed back shift register and Blum Blum Shub generator. A fuzzy system is studied and Fuzzy based Pseudo Random Number Generator had been implemented to generate the frequency hopping sequences for spread spectrum communications system. Thirty sample patterns are the input to FPRNG, while the bandwidth is partitioned into number of frequency bins. Each bin used triangular membership function to analyze the input to fuzzy sets, encoding these as fuzzy rules. The input vector matches if-part of a fuzzy rule and fires that rule’s output fuzzy set.
"synopsis" may belong to another edition of this title.
About the Author
Nagwan A. Al-Karawi,Studied Data Network Security in Al-Nahrian University, Assistant Lecturer in Al-Nahrian University,Baghdad,Iraq.
"About this title" may belong to another edition of this title.
- PublisherLAP LAMBERT Academic Publishing
- Publication date2013
- ISBN 10 3659440779
- ISBN 13 9783659440779
- BindingPaperback
- LanguageEnglish
- Number of pages76
Buy New
View this item
£ 31.16
£ 9.27 shipping from Germany to United Kingdom
Destination, rates & speedsSearch results for Fuzzy Based Pseudo Random Number Generator used for...
Seller Image
Fuzzy Based Pseudo Random Number Generator used for Wireless Networks
Published by
LAP LAMBERT Academic Publishing Aug 2013, 2013
ISBN 10: 3659440779
ISBN 13: 9783659440779
New
Taschenbuch
Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
Seller rating 5 out of 5 stars
Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Direct sequence spread spectrum uses a carrier that remains fixed to a specific frequency band. The data signal, rather than being transmitted on a narrow band as is done in microwave communications, is spread onto a much larger range of frequencies using a specific encoding scheme. This encoding scheme is known as a Pseudo Noise sequence. The algorithm used by the PN sequence generates a Pseudo Random Number Generator that is then combined, through a binary encoding process, with the binary information from the data stream. In this book, three conventional types of PRNG were implemented. These are linear feed back shift register, nonlinear feed back shift register and Blum Blum Shub generator. A fuzzy system is studied and Fuzzy based Pseudo Random Number Generator had been implemented to generate the frequency hopping sequences for spread spectrum communications system. Thirty sample patterns are the input to FPRNG, while the bandwidth is partitioned into number of frequency bins. Each bin used triangular membership function to analyze the input to fuzzy sets, encoding these as fuzzy rules. The input vector matches if-part of a fuzzy rule and fires that rule's output fuzzy set. 76 pp. Englisch. Seller Inventory # 9783659440779
Quantity: 2 available
Seller Image
Fuzzy Based Pseudo Random Number Generator used for Wireless Networks
Published by
LAP LAMBERT Academic Publishing, 2013
ISBN 10: 3659440779
ISBN 13: 9783659440779
New
Taschenbuch
Seller: AHA-BUCH GmbH, Einbeck, Germany
Seller rating 5 out of 5 stars
Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Direct sequence spread spectrum uses a carrier that remains fixed to a specific frequency band. The data signal, rather than being transmitted on a narrow band as is done in microwave communications, is spread onto a much larger range of frequencies using a specific encoding scheme. This encoding scheme is known as a Pseudo Noise sequence. The algorithm used by the PN sequence generates a Pseudo Random Number Generator that is then combined, through a binary encoding process, with the binary information from the data stream. In this book, three conventional types of PRNG were implemented. These are linear feed back shift register, nonlinear feed back shift register and Blum Blum Shub generator. A fuzzy system is studied and Fuzzy based Pseudo Random Number Generator had been implemented to generate the frequency hopping sequences for spread spectrum communications system. Thirty sample patterns are the input to FPRNG, while the bandwidth is partitioned into number of frequency bins. Each bin used triangular membership function to analyze the input to fuzzy sets, encoding these as fuzzy rules. The input vector matches if-part of a fuzzy rule and fires that rule's output fuzzy set. Seller Inventory # 9783659440779
Quantity: 1 available
Seller Image
Fuzzy Based Pseudo Random Number Generator used for Wireless Networks
Published by
LAP LAMBERT Academic Publishing, 2013
ISBN 10: 3659440779
ISBN 13: 9783659440779
New
Softcover
Seller: moluna, Greven, Germany
Seller rating 5 out of 5 stars
Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Al-karawi NagwanNagwan A. Al-Karawi,Studied Data Network Security in Al-Nahrian University, Assistant Lecturer in Al-Nahrian University,Baghdad,Iraq.Direct sequence spread spectrum uses a carrier that remains fixed to a specific . Seller Inventory # 5156395
Quantity: Over 20 available
Stock Image
Fuzzy Based Pseudo Random Number Generator Used for Wireless Networks
Published by
VDM Verlag Dr. Mueller Aktiengesellschaft & Co. KG, 2013
ISBN 10: 3659440779
ISBN 13: 9783659440779
New
Softcover
Seller: Majestic Books, Hounslow, United Kingdom
Seller rating 5 out of 5 stars
Condition: New. Print on Demand pp. 76 2:B&W 6 x 9 in or 229 x 152 mm Perfect Bound on Creme w/Gloss Lam. Seller Inventory # 131740197
Quantity: 4 available
Stock Image
Fuzzy Based Pseudo Random Number Generator Used for Wireless Networks
Published by
VDM Verlag Dr. Mueller Aktiengesellschaft & Co. KG, 2013
ISBN 10: 3659440779
ISBN 13: 9783659440779
New
Softcover
Seller: Books Puddle, New York, NY, U.S.A.
Seller rating 4 out of 5 stars
Condition: New. pp. 76. Seller Inventory # 26128814586
Quantity: 4 available
Stock Image
Fuzzy Based Pseudo Random Number Generator Used for Wireless Networks
Published by
VDM Verlag Dr. Mueller Aktiengesellschaft & Co. KG, 2013
ISBN 10: 3659440779
ISBN 13: 9783659440779
New
Softcover
Seller: Biblios, Frankfurt am main, HESSE, Germany
Seller rating 5 out of 5 stars
Condition: New. PRINT ON DEMAND pp. 76. Seller Inventory # 18128814576
Quantity: 4 available
Seller Image
Fuzzy Based Pseudo Random Number Generator used for Wireless Networks
Published by
LAP LAMBERT Academic Publishing Aug 2013, 2013
ISBN 10: 3659440779
ISBN 13: 9783659440779
New
Taschenbuch
Seller: buchversandmimpf2000, Emtmannsberg, BAYE, Germany
Seller rating 5 out of 5 stars
Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Direct sequence spread spectrum uses a carrier that remains fixed to a specific frequency band. The data signal, rather than being transmitted on a narrow band as is done in microwave communications, is spread onto a much larger range of frequencies using a specific encoding scheme. This encoding scheme is known as a Pseudo Noise sequence. The algorithm used by the PN sequence generates a Pseudo Random Number Generator that is then combined, through a binary encoding process, with the binary information from the data stream. In this book, three conventional types of PRNG were implemented. These are linear feed back shift register, nonlinear feed back shift register and Blum Blum Shub generator. A fuzzy system is studied and Fuzzy based Pseudo Random Number Generator had been implemented to generate the frequency hopping sequences for spread spectrum communications system. Thirty sample patterns are the input to FPRNG, while the bandwidth is partitioned into number of frequency bins. Each bin used triangular membership function to analyze the input to fuzzy sets, encoding these as fuzzy rules. The input vector matches if-part of a fuzzy rule and fires that rule¿s output fuzzy set.Books on Demand GmbH, Überseering 33, 22297 Hamburg 76 pp. Englisch. Seller Inventory # 9783659440779
Quantity: 1 available