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Noise Reduction

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May 1, 2024 Updated June 18, 2025 16 minute read

An Introduction to Noise Reduction: Concepts, Careers, and Pathways

Noise reduction is the process of diminishing or eliminating unwanted sound or interference from a signal. This unwanted "noise" can take many forms, from the audible hiss in an audio recording to the static in a radio transmission, or even the random fluctuations in data that obscure meaningful information. At its core, noise reduction seeks to enhance the clarity, quality, and usability of signals, whether they are sound waves, electronic data, or visual images. It is a multidisciplinary field drawing from physics, engineering, computer science, and even materials science to achieve its objectives.

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Reading list

We've selected five books that we think will supplement your learning. Use these to develop background knowledge, enrich your coursework, and gain a deeper understanding of the topics covered in Noise Reduction.
Provides a rigorous mathematical treatment of noise reduction techniques, focusing on statistical signal processing methods. It covers topics such as parameter estimation, filtering, and adaptive noise cancellation, providing a strong theoretical foundation for understanding noise reduction algorithms.
Provides an in-depth treatment of advanced signal processing and noise reduction techniques. It covers advanced topics such as Kalman filtering, Wiener filtering, and subspace methods, making it suitable for researchers and practitioners working on complex noise reduction problems.
Provides a comprehensive treatment of speech enhancement techniques, including noise reduction algorithms. It covers both fundamental principles and advanced topics, making it suitable for researchers and practitioners in the field.
Provides a comprehensive overview of noise reduction techniques for audio, speech, and music signals. It covers both classic and modern algorithms, as well as practical considerations for implementing and evaluating noise reduction systems.
Provides a comprehensive overview of image and video quality assessment techniques, including noise reduction as a key factor. It covers both objective and subjective quality measures, as well as practical applications in various domains.
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