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Homework assignments for Advanced Signal Processing Course / Aristotle University of Thessaloniki / Summer Semester 2021

License: MIT License

MATLAB 100.00%
hos bispectrum giannakis-formula cumulants higher-order-statistics cepstrum

advanced_signal_processing_auth's Introduction

Advanced-Signal-Processing-AUTH2021

Homework assignments for Advanced Signal Processing Course / Aristotle University of Thessaloniki / Summer Semester 2021

Part 1

Description:

  • Simple Exercise on 3rd order Cumulants / Bispectrum / Skewness

Part 2

Description:

  • Introduction to HOS / Bispectrum / Direct and Indirect methods / Windows (Rectangular + Parzen)
  • Comparing windows and methods

Part 3

Desctription:

  • Validity Check of Giannakis' Formula based on NRMSEs -vs- SNR diagrams (for estimation, sub-estimation and sup-estimation)

Part 4

Description:

  • CEPSTRUM via HOMOMORPHIC FILTERING
  • Acquire voice samples making the five vowel sounds
  • Compute the cepstrum with different methods
  • Lifter the cepstrum domain signals
  • Try to synthesize back the voiced signals in the following way: image

Status

As of the completion of the project, it will probably be modified in case of more research in the field, but in any case it will not be maintained. It may hold inaccuracies and could be implemented in more efficient ways regarding speed and recources management.

Code

MATLAB R2018a version. Using a different version, you may need to customize some commands.

Support - Contact

Reach out to me:

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