- Code
- CMP 311
- Name
- Signals Theories
- Semester
- 5
- Lecture hours
- 2.00
- Seminar hours
- 0.00
- Laborator hours
- 2.00
- Credits
- 3.00
- ECTS
- 6.00
- Description
-
General knowledge. The main properties of signals. Fourie analysis of signals. Properties of Furie transform. Modulated signals. Knowledge of systems. Laplace transform and Z transform. Properties of systems. Analog and digital filters. Digital signals. Noises Random signals.
- Objectives
-
The course aims to provide basic knowledge about signals and their classification; comparison of signals; trigonometric and exponential series with corresponding spectra; Laplace transform and its properties; Furie transformation and its properties; Signal energy and power; Classification of systems and their analysis in time and frequency; Modulations of signals in amplitude, phase and frequency with their respective spectra; Sampling and quantization of signals; Filters and their classification; Basic knowledge of random signals; Basic concepts related to discrete signal processing; Analysis of signals and systems through Z transformation, discrete Fourie transformation and fast Furie transformation algorithm; Implementation and construction of digital filters.
- Java
- Tema
- 1
- Signals and systems. Their classification. Exercises and problems
- 2
- Continuous and linear time invariant systems. Exercises and problems
- 3
- Discrete and linear time invariant systems. Exercises and problems
- 4
- Application of Laplace transform to continuous systems. Exercises and problems
- 5
- Fourie analysis in continuous time systems. Exercises and problems
- 6
- Classification of filters and construction of analog filters. Exercises and problems
- 7
- Application of Z transform in discrete systems. Exercises and problems
- 8
- Midterm exam
- 9
- Furie analysis in discrete time systems. Exercises and problems
- 10
- Implementation and construction of digital filters. Exercises and problems
- 11
- Amplitude modulation of signals. Exercises and problems
- 12
- Frequency and phase modulation of signals. Exercises and problems
- 13
- Digital transmissions of analog signals and noises in analog communications. Exercises and problems
- 14
- Random signals. Power spectral density and random signals in linear time invariant (LTI) systems. Exercises and problems
- 15
- State space analysis of systems. Exercises and problems
- 16
- Final Exam
- 1
- Familiarity with the basic concepts of determined and undetermined signals and systems continuous and discrete in time domain.
- 2
- Familiarity with the Laplace transform and its application to continuous linear time invariant systems.
- 3
- Familiarity with Fourie transform into continuous and discrete systems. Familiarity with the implementation and construction of analog filters.
- 4
- Familiarity with Z transform in discrete systems. Familiarity with the implementation and construction of digital filters.
- 5
- Familiarity with signal modulations (in amplitude, frequency, phase). Familiarity with digital transmissions of analog signals.
- 6
- Familiarity with random signals and power spectral density. Basic knowledge from analysis in state space of systems.
- Quantity Percentage Total percent
- Midterms
- 1 50% 50%
- Quizzes
- 0 0% 0%
- Projects
- 0 0% 0%
- Term projects
- 0 0% 0%
- Laboratories
- 0 0% 0%
- Class participation
- 0 0% 0%
- Total term evaluation percent
- 50%
- Final exam percent
- 50%
- Total percent
- 100%
- Quantity Duration (hours) Total (hours)
- Course duration (including exam weeks)
- 16 4 64
- Off class study hours
- 14 4 56
- Duties
- 0 0 0
- Midterms
- 1 4 4
- Final exam
- 1 4 4
- Other
- 14 1 14
- Total workLoad
- 142
- Total workload / 25 (hours)
- 5.68
- ECTS
- 6.00