About Foundations and Trends in Signal Processing

Foundations and Trends® in Signal Processing publishes in‑depth survey and tutorial articles covering a wide spectrum of signal processing topics. These include core areas such as digital, statistical, adaptive, nonlinear, and multidimensional signal processing, as well as modern approaches like machine learning, sparse representations, and randomized algorithms. The journal also addresses practical application domains including audio, speech, image, biomedical signals, communications, and sensor systems, along with methods for filtering, compression, reconstruction, classification, and estimation.