Abbreviations
DSP: Proakis and Manolakis, Digital Signal Processing, 4th Edition, ISBN 0-13-187374-1, 2007.
Lecture 2: Digital Signals with Finite Energy and Finite Power
Reading
DSP, Chapter 1.1-1.4.3
DSP, Chapter 4.1
Notes
The lecture concerns fundamental definitions of signals and frequency
representation.
Lecture 3: Discrete signals and systems
Reading
DSP, Chapter 2.1-2.3.7
DSP, Chapter 2.5-2.5.2
DSP, Chapter 3.3.3 and 3.5.3-3.5.4
Notes
Basic properties of discrete time systems. Review of the z-transform.
Lecture 4: Frequency analysis of signals and systems
Reading
DSP, 4.1-4.2.6
DSP, 5.1.4
DSP, 5.4-5.4.6
DSP, 9.1-9.2.1
DSP, 9.3-9.3.1
In particular pay attention to:
DSP, Figure 4.3.1, p. 270
DSP, Table 4.4, Figure 4.4.2, p. 276-277
DSP, Table 4.5 and 4.6, pp. 290-291
Notes
Review of frequency analysis tools. Basic filter types and fundamentals of
system inversion/deconvolution.
Lecture 5: Sampling and Reconstruction
Reading
DSP, Chapter 1.4.4-1.4.7
DSP, Chapter 6.1-6.4.2
In particular pay attention to:
DSP, Figure 6.1.5, p. 391
Notes
The lecture concerns sampling and reconstruction of signals.
Lecture 6: Discrete Fourier Transform and FFT
Reading
DSP, Ch. 7.1
DSP, Ch. 7.2.2
DSP, Ch. 7.3-7.4
DSP, Ch. 8.1-8.1.1
DSP, Ch. 8.1.3
DSP, Ch. 8.2
In particular pay attention to:
DSP, Table 7.1,7.2 p. 470,480
Notes
Properties and applications of the discrete Fourier transform.
The Fast Fourier Transform (FFT).
Lecture 7,8: Stochastic Signals and Correlation Functions
Reading
DSP, Ch. 12.1-12.2
CFPS, p. 1-24
Notes
Definitions of correlation functions and power spectra. Ergodic signals,
estimates and sampling. Mixing random and deterministic signals.
Lecture 9: Power Spectrum Estimation
Reading
DSP, Ch. 14.1.2-14.2.2
DSP, Ch. 14.2.4
Notes
Methods for nonparametric power spectral analysis using FFT.
Lecture 10:
Multirate signal processing
Reading
In particular pay attention to:
DSP, Figure 11.4.2, p. 763
Notes
Interpolation and decimation.
Lecture 11:
The Wiener Filter
Reading
Notes
Normal equations for Wiener Filter. Example on the estimation
of signal in noise.
Lecture 12:
Adaptive Filters
Reading
DSP, Ch. 13.1-13.3.2
DSP, Ch. 13.3.4
Notes
Introduction to the adaptive FIR filter. The LMS and RLS filter.
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