ICI Reduction by Parallel Concatenated Encoder Using Wavelet Transforms

Autor:	Noura Ali, Ibrahim F. Tarrad, Mohamed I. Youssef
Rok vydání:	2019
Předmět:	Reduction (complexity) Wavelet Computer science Orthogonal frequency-division multiplexing Wavelet transform Data_CODINGANDINFORMATIONTHEORY Code rate Burst error Hamming code Encoder Algorithm Computer Science::Information Theory
Zdroj:	Information and Communication Technology for Sustainable Development ISBN: 9789811371653
DOI:	10.1007/978-981-13-7166-0_41
Popis:	This paper proposed a new channel encoder technique by parallel concatenated encoders which use Hamming parallel with convolutional to reduce the “intercarrier interference” (ICI) by using the discrete wavelet DWT. The Hamming encoder is simple, and convolutional encoder gives low BER and robust against the burst error. Simulation the two encoder parallel via interleaver reduces the code rate and improves the performance. The simulation results measure the BER after applying the self-cancellation (SC) technique and appear reduction in BER in the results which enhance the system performance.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::b34a77adb64ffe5c052c7e8ecbd570d9 https://doi.org/10.1007/978-981-13-7166-0_41 Zobrazit plný text záznamu