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Vol.5 , No. 2, Publication Date: May 10, 2018, Page: 39-45
 Filtering&description=Over the years in signal processing, noise has been a crucial factor that is frequently faced in audio signals transmission and a communication system at large. It is identified to be an unwanted disturbance or wave that tends to disturb the transmission and processing of signals in a communication system. This problem has gained vast consideration due to the essence of a noise-free output signal in several communication systems. The implementation of adaptive methods or techniques in noise cancellation is ways of estimating signals corrupted by additive noise and deduct the unwanted signal from the corrupted signal. Adaptive filters now has many areas of applications such as in the field of signal processing, speech recognition, image processing, medical signal processing, biomedical, radar, sonar, communications, etc. This work investigates the performance advantages of adaptive over non-adaptive filtering techniques in the process of filtering audio signals and improvement of its quality by reviewing various adaptive algorithms more precisely the Recursive Least Square (RLS) and its implementation.&picture=http://www.aascit.org/aascit/decorators/img/journal/915.jpg)
| [1] | Emmanuel Abiodun Oni, Department of Physics with Electronics, Oduduwa University Ipetumodu, Ile Ife, Nigeria. |
| [2] | Ibukun Daniel Olatunde, Department of Physics with Electronics, Oduduwa University Ipetumodu, Ile Ife, Nigeria. |
| [3] | Kazeem Oladele Babatunde, Department of Physics with Electronics, Oduduwa University Ipetumodu, Ile Ife, Nigeria. |
| [4] | Davidson Ozavogwu Okpafi, Department of Physics with Electronics, Oduduwa University Ipetumodu, Ile Ife, Nigeria. |
Over the years in signal processing, noise has been a crucial factor that is frequently faced in audio signals transmission and a communication system at large. It is identified to be an unwanted disturbance or wave that tends to disturb the transmission and processing of signals in a communication system. This problem has gained vast consideration due to the essence of a noise-free output signal in several communication systems. The implementation of adaptive methods or techniques in noise cancellation is ways of estimating signals corrupted by additive noise and deduct the unwanted signal from the corrupted signal. Adaptive filters now has many areas of applications such as in the field of signal processing, speech recognition, image processing, medical signal processing, biomedical, radar, sonar, communications, etc. This work investigates the performance advantages of adaptive over non-adaptive filtering techniques in the process of filtering audio signals and improvement of its quality by reviewing various adaptive algorithms more precisely the Recursive Least Square (RLS) and its implementation.
Keywords
Adaptive Filter, Noise, Audio Signals, RLS Algorithm
Reference
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