Content, progress and pedagogy of the
module
The purpose of the module is to introduce the theory and
practice of spectral analysis with advanced methods. These methods
include classical nonparametric methods, parametric methods for
rational spectra, parametric methods for line spectra, filter-bank
methods as well as recent methods based on sparse approximations
and convex optimization. The course will also explore analogies
between spectral and spatial problems and methods.
Learning objectives
Knowledge
Students who complete the module will be able to:
- Explain stochastic and deterministic signals and their
properties
- Explain parametric and nonparametric spectral analysis
methods
- Account for the scientific foundation, and scientific problem
areas, of the specialization
- Describe the state of the art of relevant research in the
specialization.
Skills
Students who complete the module will be able to:
- Apply parametric and nonparametric methods for performing
spectral analysis of signals
- Implement methods for spectral analysis
- Master the scientific methods and general skills associated
with the specialization
- Produce a project report according to norms of the area, apply
correct terminology, document extensive command over relevant
literature, communicate and discuss the research-based foundation,
problem and results of the project orally, graphically and in
writing in a coherent manner
- Critically evaluate the results of the project in relation to
relevant literature and established scientific methods and models,
evaluate and discuss the project’s problem area in a relevant
scientific context
- Evaluate and discuss the project’s potential for further
development.
Competences
Students who complete the module will be able to:
- Synthesize the theory, models and methods to implement and
apply spectral analysis methods
- Analyze spectral analysis problems and evaluate and compare
methods using proper terminology and performance metric
- Participate in, and independently carry out, technological
development and research, and apply scientific methods in solving
complex problems
- Plan, execute and manage complex research and/or development
tasks, and assume a professional responsibility for independently
carrying out, potentially cross-disciplinary, collaboration
- Independently assume responsibility for own scientific
development and specialization.
Type of instruction
See the general types of instructions in §17; Structure and
Contents of the Programme.
Exam
Exams
Name of exam | Advanced Spectral Analysis |
Type of exam | Oral exam based on a project |
ECTS | 5 |
Permitted aids | With certain aids:
See semester description |
Assessment | Passed/Not Passed |
Type of grading | Internal examination |
Criteria of assessment | The criteria of assessment are stated in the Examination
Policies and Procedures |