Performances of Complex Wavelet Packet Based Multicarrier Transmission Through Double Dispersive Channel

Gautier, Matthieu; Liénard, Joêl

doi:10.1109/norsig.2006.275280

Cited by 10 publications

(3 citation statements)

References 7 publications

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“…Future work should consider design of wavelet and scaling filters that would minimize the interference energy which arises as a result of timing error [31,32]. Another possible solution is to use complex wavelets to reduce WPMCM time shift sensitivity [33]. Furthermore, a robust synchronization scheme that can tackle relatively large timing offsets can be developed and applied [34][35][36].…”

Section: Further Workmentioning

confidence: 99%

An Investigation on the Sensitivity of Wavelet Packet Modulation to Time Synchronization Error

Лакшманан

Karamehmedovic

Nikookar

2010

Wireless Pers Commun

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Wavelet Packet based Multi-Carrier Modulation (WPMCM) offers an alternative to the well-established OFDM as an efficient multicarrier modulation technique. It has the advantage of being a generic transmission scheme whose actual characteristics can be widely customized to fulfill several requirements and constraints of advanced communication systems. In the last decades wavelets have been favorably applied in signal and image processing fields but only recently have they attracted the attention of the telecommunication community. A lot of research questions remain to be addressed before the novel WPMCM can be used in practice. One of the major concerns is the performance of WPMCM transceivers under time synchronization errors. This is important because WPMCM symbols overlap in the time domain. In this paper, we analyze the interference in WPMCM transmission caused by the time synchronization errors. The expressions for Inter Carrier Interference (ICI) and Inter Symbol Interference (ISI) in WPMCM transmission are derived and then through simulation studies, the ability of wavelet-based systems to cope with time synchronization errors is evaluated.

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Section: Further Workmentioning

confidence: 99%

An Investigation on the Sensitivity of Wavelet Packet Modulation to Time Synchronization Error

Лакшманан

Karamehmedovic

Nikookar

2010

Wireless Pers Commun

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“…This transform yields to complex wavelet coefficients that modulate the data stream in the same way that for WPM. We call the multicarrier modulation based on complex wavelet packet transform: Complex Wavelet packet Modulation (CWPM) [13]. In this study, simulations are limited to complex Daubechies wavelet.…”

Section: Complex Waveletmentioning

confidence: 99%

Efficient Wavelet Packet Modulation for Wireless Communication

Gautier

Arndt

Liénard

2007

The Third Advanced International Conference on Telecommunications (AICT'07)

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Based on the good time-frequency localization of the pulse shaping, it is possible to build a multicarrier modulation that reduces both narrowband interferences and multipath channel interferences. In this paper, the given solution is based on wavelet theory: wavelet packet based multicarrier modulation is introduced and compared to the useful Orthogonal Frequency Domain Multiplexing (OFDM) modulation in a wireless environment with narrowband interferences and multipath channel interferences. Simulations show that the use of wavelet is more robust to narrowband interferences than the OFDM modulation. For multipath transmission, simulations show that the use of complex wavelet outperforms the use of real one and outperforms the OFDM modulation when the cyclic prefix technique is not used.

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“…The reduction of noise can be optimized with the use of wavelet transform [7,13]. There has also been some research work on using DWT for signal processing in lieu of FFT [8,9]. However, the current use of DWT only performssingle-level wavelet decomposition when performing denoising.…”

Section: Introductionmentioning

confidence: 99%

Finding Optimum Wavelet Decomposition Level Using Autocorrelation

F¹

2019

IJACST

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Wavelet transform is used to carry out time-frequency analysis including filtering of noises and reconstruction of the signal. Wavelet decomposition at a low level for denoising of signal is not very impactful in reducing noise. Alternatively, a high-level of wavelet decomposition may eliminate useful information carried by the signal. This study hinges on finding the optimum level of wavelet decomposition when performing denoising using wavelet transform. Optimum decomposition level is estimated based on parameters: mean and autocorrelation of residual in wavelet denoising. The importance of the paper is significantly the reduction of noise in the received signals whilst maintaining sufficient signal quality to allow the information carried by the signal to be read.

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Performances of Complex Wavelet Packet Based Multicarrier Transmission Through Double Dispersive Channel

Cited by 10 publications

References 7 publications

An Investigation on the Sensitivity of Wavelet Packet Modulation to Time Synchronization Error

An Investigation on the Sensitivity of Wavelet Packet Modulation to Time Synchronization Error

Efficient Wavelet Packet Modulation for Wireless Communication

Finding Optimum Wavelet Decomposition Level Using Autocorrelation

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