450-6019/02 – Advanced Signal Processing Methods (PMZS)
| Gurantor department | Department of Cybernetics and Biomedical Engineering | Credits | 10 |
| Subject guarantor | prof. Ing. Radek Martinek, Ph.D. | Subject version guarantor | prof. Ing. Radek Martinek, Ph.D. |
| Study level | postgraduate | Requirement | Choice-compulsory type B |
| Year | | Semester | winter + summer |
| | Study language | English |
| Year of introduction | 2019/2020 | Year of cancellation | |
| Intended for the faculties | HGF, FEI | Intended for study types | Doctoral |
Subject aims expressed by acquired skills and competences
Upon completion of this course, students should be able to:
a) Implement sophisticated models describing the applications for the testing new and existing adaptive and non-adaptive signal processing methods (e.g. LMS, NLMS, RLS, QR-RSL, PCA, and ICA methods, etc.)
b) Design, implement, and optimize advanced adaptive and non-adaptive signal processing methods.
c) Classify and implement methods for the quality evaluation of proposed adaptive and non-adaptive systems for optimization purposes.
d) Implement optimized methods for real hardware.
e) Deploying optimized methods into a real environment.
f) Feedback adjustments of mathematical models describing selected applications.
Teaching methods
Lectures
Individual consultations
Project work
Summary
The aim of the course is to acquaint students with the design, implementation, optimization, and verification of systems using advanced signal processing methods (e.g. adaptive and non-adaptive algorithms) for the needs of technical cybernetics and biomedical engineering. Modern methods of signal processing have already proven themselves in many areas and industries today, with current practice suggesting that the same trend will continue in the future. Within the PMZS course students will learn the practical application of these methods in real-world applications.
Compulsory literature:
Recommended literature:
[1] Madisetti, V. K. (Ed.). (2018). The Digital Signal Processing Handbook-3 Volume Set. CRC press.
[2] Tan, L., & Jiang, J. (2018). Digital signal processing: fundamentals and applications. Academic press.
[3] Antoniou, A. (2016). Digital signal processing. McGraw-Hill.
Way of continuous check of knowledge in the course of semester
exam
E-learning
Other requirements
There are no additional requirements for the student.
Prerequisities
Subject has no prerequisities.
Co-requisities
Subject has no co-requisities.
Subject syllabus:
The subject is devoted mainly to:
a) The use of adaptive and non-adaptive systems for processing and diagnosing biomedical signals.
b) Using adaptive and non-adaptive systems for the needs of fifth generation (5G) networks and the Internet of Things (IoT).
c) Signal processing and analysis using adaptive and non-adaptive systems for Smart Technology and Industry 4.0.
Conditions for subject completion
Occurrence in study plans
Occurrence in special blocks
Assessment of instruction
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