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Bayesian signal processing classical, modern, and particle filtering methods

New Bayesian approach helps you solve tough problems in signal processing with ease. Signal processing is based on this fundamental conceptthe extraction of critical information from noisy, uncertain data. Most techniques rely on underlying Gaussian assumptions for a solution, but what happens when these assumptions are erroneous? Bayesian techniques circumvent this limitation by offering a completely different approach that can easily incorporate non-Gaussian and nonlinear processes along with all of the usual methods currently available. This text enables readers to fully exploit the many a.

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http://schema.org/description

  • "New Bayesian approach helps you solve tough problems in signal processing with ease. Signal processing is based on this fundamental conceptthe extraction of critical information from noisy, uncertain data. Most techniques rely on underlying Gaussian assumptions for a solution, but what happens when these assumptions are erroneous? Bayesian techniques circumvent this limitation by offering a completely different approach that can easily incorporate non-Gaussian and nonlinear processes along with all of the usual methods currently available. This text enables readers to fully exploit the many a."@en

http://schema.org/genre

  • "Livres électroniques"
  • "Electronic books"
  • "Electronic books"@en

http://schema.org/name

  • "Bayesian signal processing : classical, modern, and particle filtering methods"
  • "Bayesian Signal Processing Classical, Modern and Particle Filtering Methods"
  • "Bayesian signal processing : classical, modern and particle filtering methods"
  • "Bayesian signal processing classical, modern, and particle filtering methods"
  • "Bayesian signal processing classical, modern, and particle filtering methods"@en