Nonlinear Signal Processing - A Statistical Approach

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Twelve Scientific Challenges for 6G: Rethinking the Foundations of Communications Theory (2022, methodology): “For instance, under an impulsive noise environment: linear synchronization, detection, and equalization fail [29].”
Robust Estimation in Signal Processing: A Tutorial-Style Treatment of Fundamental Concepts (2012, methodology): “Multivariate location estimation has been studied in image and biomedical signal processing; see [17] and [54] for reviews as well as detailed descriptions of a variety of techniques.”
Space‐based remote imaging spectroscopy of the Aliso Canyon CH4 superemitter (2016, methodology): “We addressed this by a spatial median filter [Arce, 2005] that replaced each image pixel with the median of its local 3×3 neighborhood.”
Finding Matches in a Haystack: A Max-Pooling Strategy for Graph Matching in the Presence of Outliers (2014, methodology): “This effect is similar to that of median filtering [1, 28] in signal processing, which removes noise by taking the median (a) Sum-pooled support from node j to a match (i, a)”
The Insecurity of Home Digital Voice Assistants - Amazon Alexa as a Case Study (2017, methodology): “1) CSI Processing Phase: This phase consists of three modules: principal component analysis (PCA) [13], median and exponential moving average (EMA) ﬁlter [14], [15], and Butterworth low-pass ﬁlter [16].”