03-11-2012, 02:09 PM
Digital Signal Processing & Digital Filters
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Multirate techniques and wavelets
Introduction to short-time Fourier analysis
Filter-banks and overlap-add methods of analysis and synthesis
Introduction to generalised time-frequency representation
Wavelet analysis
Multirate signal processing
Interpolation and decimation
Efficient filter structures for interpolation and decimation
Classical spectrum estimation methods
Power spectrum, power spectral density functions, random processes and linear systems
Introduction to statistical estimation and estimators
Biased and unbiased estimators
Einstein/Wiener Khintchine Theorem
Estimation of autocorrelations
Means and variances of periodograms
Smoothed spectral estimates, leakage
Modern spectrum estimation methods
Introduction to modern spectral estimation: Principles and approaches
Cramer-Rao Lower Bound (CRLB) and Efficient estimators
The Maximum Entropy Method (MEM) or Autoregressive Power Spectrum Estimation: Principles.
The MEM equations and Levinson/Durbin algorithm
DIGITAL FILTERS
How do you design FIR and IIR filters from specifications on amplitude performance?
What are multirate systems and their properties? What is interpolation / Upsampling and Decimation / Downsampling?
How do you design efficient Decimation and Interpolation systems?
What are frequency transformations and how do you design these?
How accurate is the DFT as a spectrum estimator?
[attachment=38085]
Multirate techniques and wavelets
Introduction to short-time Fourier analysis
Filter-banks and overlap-add methods of analysis and synthesis
Introduction to generalised time-frequency representation
Wavelet analysis
Multirate signal processing
Interpolation and decimation
Efficient filter structures for interpolation and decimation
Classical spectrum estimation methods
Power spectrum, power spectral density functions, random processes and linear systems
Introduction to statistical estimation and estimators
Biased and unbiased estimators
Einstein/Wiener Khintchine Theorem
Estimation of autocorrelations
Means and variances of periodograms
Smoothed spectral estimates, leakage
Modern spectrum estimation methods
Introduction to modern spectral estimation: Principles and approaches
Cramer-Rao Lower Bound (CRLB) and Efficient estimators
The Maximum Entropy Method (MEM) or Autoregressive Power Spectrum Estimation: Principles.
The MEM equations and Levinson/Durbin algorithm
DIGITAL FILTERS
How do you design FIR and IIR filters from specifications on amplitude performance?
What are multirate systems and their properties? What is interpolation / Upsampling and Decimation / Downsampling?
How do you design efficient Decimation and Interpolation systems?
What are frequency transformations and how do you design these?
How accurate is the DFT as a spectrum estimator?