DIGITAL SIGNAL PROCESSING  B39SE1

Aim of Course: To introduce concepts of digital signal processing including sampling, DFT and FFTs, Spectrum Analysis. To put these concepts into practice on Digital signal processors. 

Course Policy: If you don't understand something during the lectures or think we are assuming too much (or too little) prior knowledge, then please feel free to interrupt and ask a question. Alternatively, come to see us in our offices or email your query - contact details above.

Structure of Course: 

• Introduction Digital signal processing, signals and systems, sampling, aliasing, Nyquist, Convolution theorem ADC theory. 
• Discrete Fourier Transform Discrete Time Fourier Transform, DFT, properties and applications, parameters and influence. Practical cases. 
• Periodic and linear Convolution and Correlation. Filtering and DFTs. 
• Spectrum Analysis Correlogram and periodograms, spectrum and spectrogram. Windowing, Applications to filtering. 
• Fast Fourier Transform Principle, 2 points, 4 points and general case. DIT and DIF algorithms, Various architectures
• Z Transform  
• FIR filters Filters and LTIs systems. Ideal filters, trade-offs in filtering. Design of FIR filters. Examples and windowing

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