@article{1441369,
      author = {Borda, Monica, and Terebes, Romulus, and Malutan, Raul,  and Ilea, Ioana, and Cislariu, Mihaela, and Miclea,  Andreia, and Barburiceanu, Stefania,},
      url = {http://library.usi.edu/record/1441369},
      title = {Randomness and elements of decision theory applied to  signals /},
      abstract = {This book offers an overview on the main modern important  topics in random variables, random processes, and decision  theory for solving real-world problems. After an  introduction to concepts of statistics and signals, the  book introduces many essential applications to signal  processing like denoising, texture classification,  histogram equalization, deep learning, or feature  extraction. The book uses MATLAB algorithms to demonstrate  the implementation of the theory to real systems. This  makes the contents of the book relevant to students and  professionals who need a quick introduction but practical  introduction how to deal with random signals and  processes.},
      doi = {https://doi.org/10.1007/978-3-030-90314-5},
      recid = {1441369},
      pages = {1 online resource (251 pages) :},
}