Digital Signal Processing

Delft University of Technology
  • 3,5 (2)
  • CURSOS
Digital Signal Processing

Delft University of Technology on iTunes

  1. 17/10/2007 · VÍDEO

    Selective filtering: Lecture 11(2)

    ET4235. Digital Signal Processing. The course treats: the discrete Fourier Transform (DFT), the Fast Fourier Transform (FFT), their application in OFDM and DSL; elements of estimation theory and their application in communications; linear prediction, parametric methods, the Yule-Walker equations, the Levinson algorithm, the Schur algorithm; detection and estimation filters; non-parametric estimation; selective filtering, application to beamforming.

    43min

  2. 17/10/2007 · VÍDEO

    Selective filtering: Lecture 11(1)

    ET4235. Digital Signal Processing. The course treats: the discrete Fourier Transform (DFT), the Fast Fourier Transform (FFT), their application in OFDM and DSL; elements of estimation theory and their application in communications; linear prediction, parametric methods, the Yule-Walker equations, the Levinson algorithm, the Schur algorithm; detection and estimation filters; non-parametric estimation; selective filtering, application to beamforming.

    48min

  3. 15/10/2007 · VÍDEO

    Non-parametric estimation: Lecture 10(2)

    ET4235. Digital Signal Processing. The course treats: the discrete Fourier Transform (DFT), the Fast Fourier Transform (FFT), their application in OFDM and DSL; elements of estimation theory and their application in communications; linear prediction, parametric methods, the Yule-Walker equations, the Levinson algorithm, the Schur algorithm; detection and estimation filters; non-parametric estimation; selective filtering, application to beamforming.

    41min

  4. 15/10/2007 · VÍDEO

    Non-parametric estimation: Lecture 10(1)

    ET4235. Digital Signal Processing. The course treats: the discrete Fourier Transform (DFT), the Fast Fourier Transform (FFT), their application in OFDM and DSL; elements of estimation theory and their application in communications; linear prediction, parametric methods, the Yule-Walker equations, the Levinson algorithm, the Schur algorithm; detection and estimation filters; non-parametric estimation; selective filtering, application to beamforming.

    47min

  5. 08/10/2007 · VÍDEO

    Levinson algorithm: Lecture 8(2)

    ET4235. Digital Signal Processing. The course treats: the discrete Fourier Transform (DFT), the Fast Fourier Transform (FFT), their application in OFDM and DSL; elements of estimation theory and their application in communications; linear prediction, parametric methods, the Yule-Walker equations, the Levinson algorithm, the Schur algorithm; detection and estimation filters; non-parametric estimation; selective filtering, application to beamforming.

    34min

  6. 08/10/2007 · VÍDEO

    Levinson algorithm: Lecture 8(1)

    ET4235. Digital Signal Processing. The course treats: the discrete Fourier Transform (DFT), the Fast Fourier Transform (FFT), their application in OFDM and DSL; elements of estimation theory and their application in communications; linear prediction, parametric methods, the Yule-Walker equations, the Levinson algorithm, the Schur algorithm; detection and estimation filters; non-parametric estimation; selective filtering, application to beamforming.

    46min

  7. 03/10/2007 · VÍDEO

    Parametric models / Levinson algorithm: Lecture 7(2)

    ET4235. Digital Signal Processing. The course treats: the discrete Fourier Transform (DFT), the Fast Fourier Transform (FFT), their application in OFDM and DSL; elements of estimation theory and their application in communications; linear prediction, parametric methods, the Yule-Walker equations, the Levinson algorithm, the Schur algorithm; detection and estimation filters; non-parametric estimation; selective filtering, application to beamforming.

    48min

  8. 03/10/2007 · VÍDEO

    Parametric models / Levinson algorithm: Lecture 7(1)

    ET4235. Digital Signal Processing. The course treats: the discrete Fourier Transform (DFT), the Fast Fourier Transform (FFT), their application in OFDM and DSL; elements of estimation theory and their application in communications; linear prediction, parametric methods, the Yule-Walker equations, the Levinson algorithm, the Schur algorithm; detection and estimation filters; non-parametric estimation; selective filtering, application to beamforming.

    49min
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Delft University of Technology on iTunes

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  • Criado por
    Delft University of Technology
  • Episódios
    19
  • Classificação
    Livre
  • Copyright
    © Delft University of Technology
  • Site do podcast
    Digital Signal Processing

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