A Radon Slantlet Transforms Based OFDM System Design and Performance Simulation under Different Channel Conditions

Kattoush, Abbas Hasan

doi:10.5402/2012/318921

Cited by 4 publications

(5 citation statements)

References 21 publications

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“…The majority of the multi-wavelets investigated so far are for r=2. Scalar wavelet equations are similar to those for multi-wavelet two-scale wavelets and can be expressed as [18].…”

Section: Background: Dwt and Dmwtmentioning

confidence: 99%

“…For some multi-wavelets, preprocessing must be followed by an adequate pre-filtering operation. However, due to desired aspects of their fundamental functions, some multi-wavelets eliminate the need for pre-filtering (and preprocessing); these multi-wavelets are known as balanced multi-wavelets [18]. There are several approaches for preprocessing, such as over sampledscheme-preprocessing, critical-sampled-schemepreprocessing, etc.…”

Section: Background: Dwt and Dmwtmentioning

confidence: 99%

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Speaker Identification System Employing Multi-resolution Analysis in Conjunction with CNN

2023

IJIES

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The acoustic features extracted from the speech-signal are a critical challenge for implementing an accurate speaker identification system. In this paper, two-dimension discrete multi-wavelet transform (2D-DMWT) in conjunction with the deep learning neural networks are proposed for speaker identification. The DMWT is based on a vital sampling scheme preprocessing that uses the filter invented by Geronimo, Hardian, and Massopust, which is call GHM. The system proposed involves firstly preprocessing in which the speech-signal is resampled into 16kHz. Then, the speech-signal is divided to five different durations: 0.5 sec., 1 sec., 2 sec., 3 sec., and 5 sec. In this paper, each duration is tested separately. Second, 2D-DMWT is employed to obtain discriminant features from the speech-signal and reduce speech-signal dimensions in the feature's selection phase. Finally, neural network algorithm based on convolution neural network (CNN) is used for classification. The system proposed is tested using four databases: SALU-AC, ELSDSR, TIMIT, and RAVDESS. These databases include various speech variances, such as age, gender, etc. The results obtained by the proposed system are 95.86%, 96.59%, 89.90%, and 89.83% for 0.5sec of the SALU-AC, ELSDSR, RAVDESS, and TIMIT databases, respectively. For 1sec, the SALU-AC, ELSDSR, RAVDESS, and TIMIT databases obtained 96.30%, 97.31%, 96.05%, and 93.59%, respectively. The SALU-AC, ELSDSR, RAVDESS, and TIMIT databases achieved 96.63%, 97.76%, 96.12%, and 95.90%, respectively, over the 2sec time duration. During the time duration of 3sec, the SALU-AC, ELSDSR, and RAVDESS databases obtained 97.04%, 98%, and 97.96%, respectively. For 5sec, the SALU-AC, and ELSDSR databases attained 97.56%, and 98.30%, respectively. The results accomplished by the proposed system are outperformed those results discussed in the previous works based on the same databases.

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“…The majority of the multi-wavelets investigated so far are for r=2. Scalar wavelet equations are similar to those for multi-wavelet two-scale wavelets and can be expressed as [18].…”

Section: Background: Dwt and Dmwtmentioning

confidence: 99%

Section: Background: Dwt and Dmwtmentioning

confidence: 99%

Speaker Identification System Employing Multi-resolution Analysis in Conjunction with CNN

2023

IJIES

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“…Different operators have licensed regions, and the next LTE evolution involves operating bandwidth to be narrower and to exploit the GSM bands for machine-type communication (MTC) applications. According to research conducted, 14 FIGURE 1 OFDM modulation 13 LTE supports adaptive multiple access schemes, which helps in facilitating many physical layer enhancements by considering the downlink and uplink. When considering target packet-based services, the resource allocation in the LTE is quite complex.…”

Section: Related Workmentioning

confidence: 99%

Performance analysis of LTE physical layer using hardware cosimulation techniques and implementation on FPGA for communication systems

Venkataramanan

Lakshmi

2019

Int J Communication

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The recent mobile networks provide large data access using long-term evolution networks. Long-term evolution networks are a third-generation partnership project standard that provides different speed limits for uplink and downlink. The different network operators have different bandwidth requirements to provide different services. Long-term evolution improves the efficiency of the network. The analysis of long-term evolution is performed using different signal processing algorithms that require a realistic, flexible, and standard compliant simulation environment. This study emphasizes to measure the performance of long-term evolution downlink and uplink physical layer based on Release 11, 12, and 13. The analysis of orthogonal frequency division multiple access for downlink and single-carrier frequency division multiplexing access for uplink using different modulation schemes like quadrature amplitude modulation (4, 16, 64) and different antenna configurations in long-term evolution physical layer is analyzed using hardware cosimulation platform.

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“…In [9] Kattoush discusses the application of finite radon transform mapper in wavelet transform to increase orthogonality of subcarriers. In this application, Finite Radon Transform and Discrete Wavelet Transform are implemented in a new design for orthogonal frequency division multiplexing.…”

Section: Relevant Workmentioning

confidence: 99%

BER performance evaluation of conventional OFDM system and Wavelet Packet Modulator System in 4G LTE

Nwanjah¹,

Jagadeesh²,

Parmar³

2016

IOSR

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A Radon Slantlet Transforms Based OFDM System Design and Performance Simulation under Different Channel Conditions

Cited by 4 publications

References 21 publications

Speaker Identification System Employing Multi-resolution Analysis in Conjunction with CNN

Speaker Identification System Employing Multi-resolution Analysis in Conjunction with CNN

Performance analysis of LTE physical layer using hardware cosimulation techniques and implementation on FPGA for communication systems

BER performance evaluation of conventional OFDM system and Wavelet Packet Modulator System in 4G LTE

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