- Introduction
- Overview of Discrete-time Signals and Systems.
- Sampling
- Aliasing.
- Quantization.
- Convolution
- Correlation.
- Properties of Discrete time Signals and Systems.
- Discrete Fourier Transform:
- Frequency Domain Sampling.
- DFT Properties.
- Inverse DFT.
- Windowing and DFT Leakage.
- Direct Computation of DFT.
- Fast Fourier Transform:
- Divide and Conquer.
- Radix algorithms.
- Inverse FFT.
- Applications of FFT.
- Discrete time systems implementation.
- Overview of z-transform.
- Structures of Discrete time systems.
- Fixed and Floating number types.
- Quantization effects.
- Design of Digital Filters:
- General Considerations
- FIR and IIR Filters.
- Techniques of FIR and IIR filter Design.
- Multirate Signal Processing:
- Down sampling and Up sampling.
- Decimation and Interpolation
- To be familiarize with the MATLAB and SIMULINK.
- To plot the sinusoidal, exponential and singularity functions
- To perform the time-shift, time-scaling and time-reversal operations on the signals
- To compute and plot the impulse response of the system
- To compute the convolution of LTI Systems
- To find the Laplace-Transform and inverse Laplace transform of the system
- To find the transfer function and system stability
- To plot the signals spectra using Fourier transform
- To plot the frequency response of the system
- To design filter using Butterworth & Chebyshev techniques
- Open ended lab 1
- Open ended lab 2
- Open ended lab 3
- Open ended lab 4
- Open ended lab 5
- Open ended lab 6
- Lecturing
- Written Assignments Report Writing
- Sessional (20%)
- Quiz (12%)
- Assignment (8%)
- Midterm (30%)
- Final Term (50%)
- Labs
- Open-Ended Labs
- Gorden E. Carlson. Signal and Linear System Analysis. John Wiley & Sons, Inc. 2nd Edition. 1992.
- Oppenheim, Alan V., and A. S. Willsky. Signals and Systems. Prentice Hall, 1982. ISBN: 9780138097318.
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