School of Electrical Engineering and Technology (SEET)

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School of Electrical Engineering and Technology (SEET)

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    Non-intrusive noise reduction in GSM voice signal using non-parametric modeling technique
    (International Engineering Conference (IEC), School of Engineering and Engineering Technology, FUT Minna, 2015-06-15) Gbadamosi Safiu Abiodun,; A. M. Aibinu,; O.C.Ugweje,; A. J Onumanyi ,; E. N Onwuka,; M. Aderinola
    Noise degrades the quality and intelligibility of speech. It impedes speech clarity, coding, recognition and speaker identification. To mitigate noise effect and improve speech quality, we propose Non-parametric modeling technique along with a Non-intrusive signal denoising system based on short time Fourier transforms. This paper aims to establish only the idea behind our proposed algorithm, however, we present argument to justify that our results will reduce an end to end acoustic background noise; improve quality of speech for both the speaker and the listener and eventually increase throughput. Ultimately, users’ will be able to call and receive calls in a noisy environment while enjoying clarity of voice.
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    Towards independent measurement of End to End Bit Error Rate in GSM network
    (IEEE, 2014-09-29) Gbadamosi Safiu Abiodun,; A. M. Aibinu,; E. N Onwuka; O. C. Ugweje
    This article introduces the trends of measuring bit error rate of GSM network independently of the service providers using a PC Based Software System. This paper further reveals the role of software defined radio (SDR) in achieving reception and transmission of signals at any carrier frequency using any standard and protocol which can be reprocessed immediately with the aid of the subject software operation of a PC. The results obtained from the reception and transmission of signals can used to estimate the Bit Error of the signal at that frequency. Thus the possibility and mechanisms of independent measurement of End to End Bit Error Rate have been presented in this paper.