BE2M31DSP  Advanced DSP methods
Seminar schedule  summer semester 2022/2023
SEMINAR SCHEDULE:
 Tu  21.2.2023  Selected characteristics of discretetime signals and systems, signal modelling
 Reminder of knowledge from BE2M31DSPA
 Modelling of signals using AR, MA, and ARMA models
Seminar guidelines

Tu 28.2.2023  Basis of LPC
 LPC analysis, autocorrelation method (YuleWalker equations)
 LPC spectrum (smoothed estimation of PSD)
Seminar guidelines
 Tu  7.3.2023  Methods for delay estimation
 Delay estimation based on crosscorrelation
 Delay estimation based on cross power spectral density (CPSD)
 Estimation dsicretesystem transfer function
Seminar guidelines
 Tu  14.3.2023  Applications of coherence analysis
 Definition of coherence function and estimation methods
 cohergram
 Time dependancy of average coherence
 Coherence applications (noise reduction and delay detection)
Seminar guidelines
 Tu  21.3.2023  Cepstral analysis  basic properties and applications
 Definition, properties, and basic applications of real and complex cepstrum
 Liftering and homomorphic deconvolution
Seminar guidelines
 Tu  28.3.2023  TEST 1  Cepstral distance and its applications
 computation of DFT and LPC cepstrum, computation of cepstral distance
 measurement of signal distortion
 detection of frame boundaries in nonstationary signal
Seminar guidelines
 Tu  4.4.2023  Discrete cosine transform
 Definitions of DCT and computation approaches, relationship to DFT
 Using DCT for real cepstrum computation
 Compression using DCT
Seminar guidelines
 Tu  11.4.2023  Frequencydomain suppression of stationary additive noise
 suppression of stationary noise in a stationary signal
 Wiener filtering, DCTbased Wiener filtering, spectral subtraction
Seminar guidelines
 Tu  18.4.2023  Frequencydomain suppression of stationary additive noise in nonstationary signal
 adaptive variants of algorithms basedon Wiener filtering, DCT, and spectral subtraction,
Seminar guidelines
 Tu  25.4.2023  Inverse filtering and Wiener filtering with a distortion model
 compensation of distortion given by trasmitting channel using inverse fitering
 inverse filtering in noisy environment
 Wienerfilterbased suppression of noise influence during inverse filtering
Seminar guidelines
 Tu  2.5.2023  Pricipal Component analysis and KLT transform
 Eigenvalues and eigenvectors of signal covariance matrix
 KarhunenLoeve transform (KLT)
 Comparison of KLT, DCT, and DFT
Seminar guidelines
 Tu  9.5.2023 
Seminar is cancelled (CHANGE OF SCHEDULING)
 Tu  16.5.2023  TEST 2  ICAbased blid separation of signals
 Multichannel linear mixture of signals
 Mixing and inverse matrices
 Blind separation, FastICA
Seminar guidelines
 Tu  23.5.2023  Wavelet
transform (WT), filter banks (QMFB), Noise suppression based on WT
HOMEWORK
 Decomposition of signal into more bands using quadraturemirror filters (QMF)
COMPLETION OF THE TASK AT SEMINAR
 Noise suppression using WT (QMFB)
Seminar guidelines