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Advanced Digital Signal Processing and Noise Reduction
Abstract
Digital signal processing plays a central role in the development of modern communication and information processing systems. The theory and application of signal processing is concerned with the identification, modelling and utilisation of patterns and structures in a signal process. The observation signals are often distorted, incomplete and noisy and therefore noise reduction, the removal of channel distortion, and replacement of lost samples are important parts of a signal processing system. The fourth edition of Advanced Digital Signal Processing and Noise Reduction updates an
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Spratling, M. W. (2017) · Brain and Cognition · doi:10.1016/j.bandc.2015.11.003 · Cited by 437
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Elgendi, M. (2016) · Bioengineering · doi:10.3390/bioengineering3040021 · Cited by 320
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Classification of small UAVs and birds by micro-Doppler signatures
Molchanov, P., Harmanny, R. I. A., de Wit, J. J. M., Egiazarian, K., & Astola, J. (2014) · International Journal of Microwave and Wireless Technologies · doi:10.1017/s1759078714000282 · Cited by 261
Metadata
- Authors
- Vaseghi, S. V.
- Venue
- Wiley eBooks
- Publisher
- Wiley
- Published
- 2008-02-06
- OpenAlex
- W1553437616
- Cited by
- 1,164
- References
- 0
- FWCI
- 11.38
- Type
- book
- Language
- en
- Open access
- closed
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- CoChat. (2026). Citation check: Advanced Digital Signal Processing and Noise Reduction. https://app.cochat.ai/papers/10.1002/9780470740156
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- Vaseghi, S. V. (2008). Advanced Digital Signal Processing and Noise Reduction. Wiley eBooks. https://doi.org/10.1002/9780470740156
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
