Course Outcomes |
Assessments |
Program Outcomes |
1. Understanding of core concepts and applications of signal processing and linear system theory |
Homework, Test, Lab |
AST2-A, B, C |
2. Utilization of Fourier Analysis in both continuous and discrete time signals and systems |
Homework, Test, Lab |
AST2-B, C |
3. Application of sampling and reconstruction to continuous-time and discrete-time conversion |
Homework, Test, Lab |
AST2-B, C |
4. Modulating and demodulating information-bearing signal |
Homework, Test, Lab |
AST2-A,B |
5. Understanding of Laplace transform and Z-transform including their application to Signal and Systems |
Homework, Test, Lab |
AST2-B |
6. Application of MATLAB solving Signal and Systems problems |
Lab |
AST2-B |
7. Demonstrate the ability to work effectively in a team |
Lab |
AST2-Foundation |
Lecture Topics
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Assignments/Labs
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SSF Ch 2. Linear Time-Invariant (LTI) Systems
- Discrete-Time LTI Systems: The Convolution Sum
- Continuous-Time LTI Systems: The Convolution Integral
- Properties of LTI Systems
- Causal LTI Systems Described by Differential and Difference Equations
- Singularity Functions
- Statistical Approach to Noise
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SSF Ch 3. Fourier Series Representation of Periodic Signals
- The Response of LTI Systems to Complex Exponentials
- Fourier Series Representation of Continuous-Time Periodic Signals
- Convergence of the Fourier Series
- Properties of Continuous-Time Fourier Series
- Fourier Series Representation of Discrete-Time Periodic Signals
- Properties of Discrete-Time Fourier Series
- Fourier Series and LTI systems
- Continuous-time and Discrete-Time Filtering
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SSF Ch 4. The continuous-Time Fourier Transform
- Representation of Aperiodic Signals: The Continuous-Time Fourier Transform
- The Fourier Transform for Periodic Signals
- Properties of the Continuous-Time Fourier Transform
- The Convolution Property
- The Multiplication Property
- Systems Characterized by Linear Constant-Coefficient Differential Equations
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SSF Ch 5. The discrete-time Fourier transform
- Representation of Aperiodic Signals: The Discrete-Time Fourier Transform
- The Fourier Transform for Periodic Signals
- Properties of the Discrete-Time Fourier Transform
- The Convolution Property
- The Multiplication Property
- Duality
- Systems Characterized by Linear Constant-Coefficient Difference Equations
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SSF Ch 6. Sampling
- The Sampling Theorem
- Reconstruction of signal from its Samples Using Interpolation
- Aliasing: The Effect of Undersampling
- Discrete-Time Processing of Continuous-Time Signals
- Sampling of Discrete-Time Signals
- Statistical Sampling
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SSF Ch 7. Communication Systems
- Complex Exponential and Sinusoidal Amplitude Modulation
- Demodulation for Sinusoidal AM
- Frequency-Division Multiplexing
- Signal-Sideband Sinusoidal Amplitude Modulation
- Amplitude Modulation with a Pulse-Train Carrier
- Pulse-Amplitude Modulation
- Sinusoidal Frequency Modulation
- Discrete-Time Modulation
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SSF Ch 8. Laplace Transform
- The Laplace Transform
- The Inverse Laplace Transform
- Geometric Evaluation of the Fourier Transform from the Poles-Zero Plot
- Properties of the Laplace Transform
- Analysis and Characterization of LTI Systems Using the Laplace Transform
- System Function Algebra and Block Diagram Representations
- Unilateral Laplace Transform
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SSF Ch 9. Z-Transform
- The Z-Transform
- The Region of Convergence
- The Inverse Z-Transform
- Geometric Evaluation of the Fourier Transform from the Poles-Zero Plot
- Properties of the Z-Transform
- Analysis and Characterization of LTI Systems using Z-Transforms
- System Function Algebra and Block Diagram Representations
- The Unilateral Z-Transform
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Comprehensive Final Exam - for schedule visit: www.clark.edu/academics/schedule |