code decoding algorithm applications von haifeng (8 Ergebnisse)

Zustand: New.

Taschenbuch. Zustand: Neu. LT Code: Decoding Algorithm and Its Applications | Lu Haifeng | Taschenbuch | 116 S. | Englisch | 2019 | LAP LAMBERT Academic Publishing | EAN 9783659822339 | Verantwortliche Person für die EU: BoD - Books on Demand, In de Tarpen 42, 22848 Norderstedt, info[at]bod[dot]de | Anbieter: preigu.

Taschenbuch. Zustand: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Reliable transmission over error-prone channels is always a problem for network researchers. To control errors in transmissions, the technique Forward Error Correction (FEC) was proposed in 1940s. Among different coding schemes, Reed-Solomon and Low Density Parity Check codes are the most successful ones. Although these codes can achieve channel capacity, the performance relies on knowledge of channel condition since the coding rate is determined beforehand. To overcome this, fountain codes were proposed. For a given number of source symbols, fountain codes can generate potentially limitless encoded symbols. Luby Transform (LT) codes are the first realizations of fountain codes. The low complexity of both encoding and decoding makes LT codes applicable in many different applications from data transmission to storage system. This book is dedicated to improve LT decoding algorithm under certain circumstance and apply LT codes in multimedia transmission and in cloud storage system. 116 pp. Englisch.

Zustand: New. Print on Demand.

Zustand: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Haifeng LuLu Haifeng - Degree of Doctor of Philosophy, School of Computer Engineering, Nanyang Technological University.Reliable transmission over error-prone channels is always a problem for network researchers. To control error.

Zustand: New. PRINT ON DEMAND.

Taschenbuch. Zustand: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Reliable transmission over error-prone channels is always a problem for network researchers. To control errors in transmissions, the technique Forward Error Correction (FEC) was proposed in 1940s. Among different coding schemes, Reed-Solomon and Low Density Parity Check codes are the most successful ones. Although these codes can achieve channel capacity, the performance relies on knowledge of channel condition since the coding rate is determined beforehand. To overcome this, fountain codes were proposed. For a given number of source symbols, fountain codes can generate potentially limitless encoded symbols. Luby Transform (LT) codes are the first realizations of fountain codes. The low complexity of both encoding and decoding makes LT codes applicable in many different applications from data transmission to storage system. This book is dedicated to improve LT decoding algorithm under certain circumstance and apply LT codes in multimedia transmission and in cloud storage system.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 116 pp. Englisch.

Taschenbuch. Zustand: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Reliable transmission over error-prone channels is always a problem for network researchers. To control errors in transmissions, the technique Forward Error Correction (FEC) was proposed in 1940s. Among different coding schemes, Reed-Solomon and Low Density Parity Check codes are the most successful ones. Although these codes can achieve channel capacity, the performance relies on knowledge of channel condition since the coding rate is determined beforehand. To overcome this, fountain codes were proposed. For a given number of source symbols, fountain codes can generate potentially limitless encoded symbols. Luby Transform (LT) codes are the first realizations of fountain codes. The low complexity of both encoding and decoding makes LT codes applicable in many different applications from data transmission to storage system. This book is dedicated to improve LT decoding algorithm under certain circumstance and apply LT codes in multimedia transmission and in cloud storage system.