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SEMINAR SCHEDULE:

1. Tu - 21.2.2023 - Selected characteristics of discrete-time signals and systems, signal modelling
   - Reminder of knowledge from BE2M31DSPA
   - Modelling of signals using AR, MA, and ARMA models
   Seminar guidelines

2. Tu 28.2.2023 - Basis of LPC
   - LPC analysis, autocorrelation method (Yule-Walker equations)
   - LPC spectrum (smoothed estimation of PSD)
   Seminar guidelines

3. Tu - 7.3.2023 - Methods for delay estimation
   - Delay estimation based on cross-correlation
   - Delay estimation based on cross power spectral density (CPSD)
   - Estimation dsicrete-system transfer function
   Seminar guidelines

4. 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

5. 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

6. 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 non-stationary signal
   Seminar guidelines

7. 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

8. Tu - 11.4.2023 - Frequency-domain suppression of stationary additive noise
   - suppression of stationary noise in a stationary signal
   - Wiener filtering, DCT-based Wiener filtering, spectral subtraction
   Seminar guidelines

9. Tu - 18.4.2023 - Frequency-domain suppression of stationary additive noise in non-stationary signal
   - adaptive variants of algorithms basedon Wiener filtering, DCT, and spectral subtraction,
   Seminar guidelines

10. 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
    - Wiener-filter-based suppression of noise influence during inverse filtering
    Seminar guidelines

11. Tu - 2.5.2023 - Pricipal Component analysis and KLT transform
    - Eigenvalues and eigenvectors of signal covariance matrix
    - Karhunen-Loeve transform (KLT)
    - Comparison of KLT, DCT, and DFT
    Seminar guidelines

12. Tu - 9.5.2023 - Seminar is cancelled (CHANGE OF SCHEDULING)

13. Tu - 16.5.2023 - TEST 2 - ICA-based blid separation of signals
    - Multichannel linear mixture of signals
    - Mixing and inverse matrices
    - Blind separation, FastICA
    Seminar guidelines

14. Tu - 23.5.2023 - Wavelet transform (WT), filter banks (QMFB), Noise suppression based on WT
    HOMEWORK
    - Decomposition of signal into more bands using quadrature-mirror filters (QMF)
    COMPLETION OF THE TASK AT SEMINAR
    - Noise suppression using WT (QMFB)
    Seminar guidelines