Digital Signal Processing

Delft University of Technology
  • 3.5 (2)
  • 课程
Digital Signal Processing

Delft University of Technology on iTunes

  1. 2007/10/17 · 视频

    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.

    43 分钟

  2. 2007/10/17 · 视频

    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.

    48 分钟

  3. 2007/10/15 · 视频

    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.

    41 分钟

  4. 2007/10/15 · 视频

    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.

    47 分钟

  5. 2007/10/08 · 视频

    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.

    34 分钟

  6. 2007/10/08 · 视频

    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.

    46 分钟

  7. 2007/10/03 · 视频

    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.

    48 分钟

  8. 2007/10/03 · 视频

    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.

    49 分钟
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Delft University of Technology on iTunes

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    Digital Signal Processing

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