19 episodes

Digital Signal Processing Delft University of Technology

- Education

Delft University of Technology on iTunes

- 17 OCT 2007
- video
Selective filtering: Lecture 11(2)

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.
- 42 min
- 17 OCT 2007
- video
Selective filtering: Lecture 11(1)

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.
- 47 min
- 15 OCT 2007
- video
Non-parametric estimation: Lecture 10(2)

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 min
- 15 OCT 2007
- video
Non-parametric estimation: Lecture 10(1)

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 min
- 8 OCT 2007
- video
Levinson algorithm: Lecture 8(2)

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.
- 33 min
- 8 OCT 2007
- video
Levinson algorithm: Lecture 8(1)

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.
- 45 min