Digital Signal Processing

Delft University of Technology
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Digital Signal Processing

Delft University of Technology on iTunes

  1. ٠٥‏/١٠‏/١٤٢٨ هـ · فيديو

    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.

    ٤٣ من الدقائق

  2. ٠٥‏/١٠‏/١٤٢٨ هـ · فيديو

    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.

    ٤٨ من الدقائق

  3. ٠٣‏/١٠‏/١٤٢٨ هـ · فيديو

    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.

    ٤١ من الدقائق

  4. ٠٣‏/١٠‏/١٤٢٨ هـ · فيديو

    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.

    ٤٧ من الدقائق

  5. ٢٦‏/٠٩‏/١٤٢٨ هـ · فيديو

    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.

    ٣٤ من الدقائق

  6. ٢٦‏/٠٩‏/١٤٢٨ هـ · فيديو

    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.

    ٤٦ من الدقائق

  7. ٢١‏/٠٩‏/١٤٢٨ هـ · فيديو

    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.

    ٤٨ من الدقائق

  8. ٢١‏/٠٩‏/١٤٢٨ هـ · فيديو

    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.

    ٤٩ من الدقائق
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    Digital Signal Processing

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