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Digital Signal Processing
Major: Telecommunications and Radio Engineering
Code of subject: 6.172.03.E.087
Credits: 5.00
Department: Radioelectronic Appliances and Systems
Lecturer: PhD, associate prof. Leonid Lazko
Semester: 8 семестр
Mode of study: заочна
Learning outcomes: Upon completion of the course, the student must:
-See the classification of signals by the way of presentation and the peculiarities of each mode of presentation.
-See processes and phenomena that arise when sampling continuous signals
-See methods of synthesizing digital signal processing systems
-See the methods for analyzing digital signal processing systems
-See the properties of discrete systems and signals
-To be able to synthesize the algorithm of digital signal processing and the system for its implementation
-Move to analyze the digital signal processing system
-Move to conduct mathematical modeling of processes of formation and processing of discrete signals
Required prior and related subjects: The student must have knowledge of courses:
-Signals and processes in REA
-Digital technology and microprocessors
-Mathematical analysis
-Theory of functions of a complex variable
-Theory of probabilities
Summary of the subject: The course consists of the main topics:
- Areas of use DSP. Classification of signals
-Disection of continuous signals
- Linear signal transformations
- Fourier transform
- Convolution of discrete signals
- Correlation and its usage
- Special filtering
- Image processing
Assessment methods and criteria: Current control 20%
Final control 80%
Recommended books: 1. L.M. Goldenberg bd Matyushkin, MN Pole. Digital signal processing. Directory. - M .: Radio and communication, 1985.- 311 p. (Russian)
2. E. Shrewer. Digital processing of discrete signals. Textbook for students of technical specialties of high schools. Translation with g., 1992. - 294 pp. (Russian)
3. Lazko L.V. Convolution of discrete signals. Methodical Instructions, 2010, 8 pp.(Ukrainian)
Digital Signal Processing
Major: Telecommunications and Radio Engineering
Code of subject: 6.172.04.E.102
Credits: 5.00
Department: Radioelectronic Appliances and Systems
Lecturer: PhD, associate prof. Leonid Lazko
Semester: 8 семестр
Mode of study: заочна
Learning outcomes: Upon completion of the course, the student must:
-See the classification of signals by the way of presentation and the peculiarities of each mode of presentation.
-See processes and phenomena that arise when sampling continuous signals
-See methods of synthesizing digital signal processing systems
-See the methods for analyzing digital signal processing systems
-See the properties of discrete systems and signals
-To be able to synthesize the algorithm of digital signal processing and the system for its implementation
-Move to analyze the digital signal processing system
-Move to conduct mathematical modeling of processes of formation and processing of discrete signals
Required prior and related subjects: The student must have knowledge of courses:
-Signals and processes in REA
-Digital technology and microprocessors
-Mathematical analysis
-Theory of functions of a complex variable
-Theory of probabilities
Summary of the subject: The course consists of the main topics:
- Areas of use DSP. Classification of signals
-Disection of continuous signals
- Linear signal transformations
- Fourier transform
- Convolution of discrete signals
- Correlation and its usage
- Special filtering
- Image processing
Assessment methods and criteria: Current control 20%
Final control 80%
Recommended books: 1. L.M. Goldenberg bd Matyushkin, MN Pole. Digital signal processing. Directory. - M .: Radio and communication, 1985.- 311 p. (Russian)
2. E. Shrewer. Digital processing of discrete signals. Textbook for students of technical specialties of high schools. Translation with g., 1992. - 294 pp. (Russian)
3. Lazko L.V. Convolution of discrete signals. Methodical Instructions, 2010, 8 pp.(Ukrainian)
Digital Signal Processing
Major: Telecommunications and Radio Engineering
Code of subject: 6.172.06.E.133
Credits: 5.00
Department: Electronics and Information Technology
Semester: 8 семестр
Mode of study: заочна
Digital Signal Processing
Major: Telecommunications and Radio Engineering
Code of subject: 6.172.07.E.148
Credits: 5.00
Department: Radioelectronic Appliances and Systems
Lecturer: PhD, associate prof. Leonid Lazko
Semester: 8 семестр
Mode of study: заочна
Learning outcomes: Upon completion of the course, the student must:
-See the classification of signals by the way of presentation and the peculiarities of each mode of presentation.
-See processes and phenomena that arise when sampling continuous signals
-See methods of synthesizing digital signal processing systems
-See the methods for analyzing digital signal processing systems
-See the properties of discrete systems and signals
-To be able to synthesize the algorithm of digital signal processing and the system for its implementation
-Move to analyze the digital signal processing system
-Move to conduct mathematical modeling of processes of formation and processing of discrete signals
Required prior and related subjects: The student must have knowledge of courses:
-Signals and processes in REA
-Digital technology and microprocessors
-Mathematical analysis
-Theory of functions of a complex variable
-Theory of probabilities
Summary of the subject: The course consists of the main topics:
- Areas of use DSP. Classification of signals
-Disection of continuous signals
- Linear signal transformations
- Fourier transform
- Convolution of discrete signals
- Correlation and its usage
- Special filtering
- Image processing
Assessment methods and criteria: Current control 20%
Final control 80%
Recommended books: 1. L.M. Goldenberg bd Matyushkin, MN Pole. Digital signal processing. Directory. - M .: Radio and communication, 1985.- 311 p. (Russian)
2. E. Shrewer. Digital processing of discrete signals. Textbook for students of technical specialties of high schools. Translation with g., 1992. - 294 pp. (Russian)
3. Lazko L.V. Convolution of discrete signals. Methodical Instructions, 2010, 8 pp.(Ukrainian)