18-792: Advanced Digital Signal Processing: Lectures

  Class notes (some from previous years)

• Lecture 1: Introduction to ADSP (powerpoint)  (August 26)
• Lecture 2: Review of continuous-time sampling  (August 28)
• Lecture 4: Change in Sampling Rate (September 4)
• Lecture 5: Efficient structures for decimation and interpolation (September 9)
• Lecture 6: Mathematical characterization of interpolation and change of sampling rate (September 11)
• Lecture 7: Introduction to short-time Fourier analysis (September 16)
• Lecture 8: Short-time Fourier synthesis (September 18)
• Lecture 9: STFT applications and phase vocoding (September 23)    Powerpoint: spectral subtraction examples    Powerpoint: phase vocoding examples
• Lecture 10:  Intro to stochastic processes (September 25)    Powerpoint: Intro to random processes [some math labels uncorrected  ]
• Lecture 11: Ergodicity,   Gaussian RPs, and power spectral density (September 30 )
• Lecture 12: PSD functions and RPs through LSI systems,  (October 2)        Powerpoint for bandpass noise examples
• Lecture 13: Introduction to parameter estimation; estimates of the autocorrelation and PSD function  (October 7)
• Lecture 15: Mean and variance of the periodogram; smoothing the periodogram (October 21)
• Lecture 16: The Bartlett and the Welch methods; Intro to MEM spectral estimation (October 23)
• Lecture 17: Spectral estimation by modeling: the Maximum Entropy Method and Intro to linear prediction (October 28)
• Lecture 18: The LPC autocorrelation and covariance methods; computing the gain (October 30)
• Lecture 19: Lattice filters and the PARCOR method (November 4)
• Lecture 20: Introduction to adaptive filtering (November 6)
• Lecture 21: Performance of adaptive filters; the RLS algorithm (November 11)
• Lecture 22: Alternate adaptive  structures:  the adaptive lattice and frequency-domain adaptive filter  (November 13)
• Lecture 23: Intro to adaptive array processing; narrowband arrays (November 20)  Powerpoint presentation on beamforming
• Lecture 25: Broadband array processing (November 25)  
• Lecture 27: Intro to 2-dimensional DSP (December 2)    Powerpoint


• Recitation 1: Preparation for Problem Set 1  (August 30)
• Additional probability problems intended for discussion in recitation
• Solutions to probability problems
• Recitation 2: Preparation for Problem Set 2 (September 6)
• Recitation 3: Preparation for Problem Set 3 (September 13)
• Recitation 4: Preparation for Problem Set 4 (September 20)
• Recitation 5: Preparation for Problem Set 5 (September 27)
• Recitation 7: Preparation for Problem Set 7 (October 25)
• Recitation 8: Preparation for Problem Set 8 (November 1)
• Recitation 9: Preparation for Problem Set 9 (November 8)