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Signal Processing

Signal Processing

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Signal Processing: A Mathematical Approach is designed to show how many of the mathematical tools the reader knows can be used to understand and employ signal processing techniques in an applied environment. Assuming an advanced undergraduate- or graduate-level understanding of mathematics-including familiarity with Fourier series, matrices, probab

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  1. 3 - pdf (CC BY-NC-ND) at OAPEN Library.

Keywords

  • Blue Estimate
  • cauchy's
  • covariance matrix
  • DFT
  • DFT calculation
  • exponential
  • FIR
  • Fourier
  • Fourier series
  • fourier transform
  • Hilbert space
  • Impulse Response Sequence
  • inequality
  • Inverse Ft
  • minimum norm solution
  • noise power spectrum
  • Orthogonality Principle
  • power spectrum
  • random
  • Random variables
  • remote
  • Remote sensing
  • Sensing
  • séries
  • Short Time Fourier Transform
  • thema EDItEUR::P Mathematics and Science::PB Mathematics::PBW Applied mathematics
  • thema EDItEUR::U Computing and Information Technology::UB Information technology: general topics
  • thema EDItEUR::U Computing and Information Technology::UY Computer science
  • transform
  • Transmission Tomography
  • T− 1
  • variable
  • X-ray Transmission Tomography

Links

DOI: 10.1201/b17672

Editions

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