Electronic data converters, the Discrete Fourier Transform (DFT) and its fast algorithms (FFT), the Z-transform, discrete time transfer , realization topologies, IIR filter design through invariant impulse response and bilinear transform, FIR filter design using windowing, Kaiser, Blackman, hamming, ect.
Bachelor in Electronics and Communications Engineering
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content serial | Description |
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1 | Why digital signal processing? Analog vs.Digital signal processing, Examples of practical DSP applications, Recent trends |
2 | A real-time DSP system, Sampling of Band limited analog signals, Specifications of data converters, Digital-to-Analog converters |
3 | Quantizer characteristics, Quantization techniques, Analog comparators, Circuit implementation of quantization techniques. |
4 | The cascaded architecture, Single and dual slope converters |
5 | Discrete-Time transforms, The discrete-time Fourier transform, The FFT algorithm ,The Butterfly properties |
6 | The DIT FFT and the DIF FFT algorithm and their inverse (IFFT). |
7 | Digital filters, Basic definitions, analog vs. digital filters, Design procedures. |
8 | The discrete-time transfer function, Types of digital filters, Digital filters describing equations, recursive versus non-recursive filters |
9 | The Z-transform. Digital filter components, Examples of digital filter circuits. |
10 | Time domain analysis, Frequency domain analysis, Stability, a stability criterion. |
11 | Design of digital filters, Design procedures, Realization topologies, Hardware implementation |
12 | Design of IIR filters using the Bilinear z-transform, frequency warping, Design from the Pole-Zero distribution, Design from the tolerance structure, Examples |
13 | Properties of FIR filters, Realization topologies, The concept of windowing The rectangular window. |
14 | Design of FIR filters using windows, The Bartlett, Von Hann, and Hamming windows, Blackman and Kaiser, Examples |
15 | Data compression ,an intro, DAS`s, DSP applications |
16 | Final Examination |
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