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- W4385224691 abstract "Adaptive noise cancellation (ANC) is a broad area of research in communication field which is used for reduction of noises in speech signals. The system consists of microphones that listen to noise both within and outside the headphone, an active noise cancellation system that reverses the noise, as well as an internal speaker which eliminates the external noises by neutralising the sound waves. It’s similar to taking a +2 outside and adding a −2 inside to get to zero. Adaptive active noise cancellation adjusts to your environment automatically using microphones and speakers. This article examines a new research on ANC systems based on adaptive filter techniques. The adaptive noise cancelling technology uses two microphones. A primary microphone picks up the noisy incoming signal, whereas a secondary microphone picks up noise that is connected to the primary microphone’s noise but unrelated to the signal that carries the information. This study discusses noise elimination in voice signals using adaptive LMS algorithms. This results in more efficient performance with reduced computing complexity. With noise suppression of about 13 dB provided by the NLMS approach, speech quality is greatly enhanced, whereas the LMS technique only offers till 10 dB. To eliminate undesirable background noise, active noise cancellation (ANC) employs a noise cancellation technology." @default.
- W4385224691 created "2023-07-25" @default.
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- W4385224691 date "2023-01-01" @default.
- W4385224691 modified "2023-09-27" @default.
- W4385224691 title "Implementation and Design of Noise Cancellation Using NLMS Algorithm in Microphones" @default.
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- W4385224691 doi "https://doi.org/10.1007/978-981-99-3878-0_5" @default.
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