Sumários SIGARRA

Introduction to Matlab, paper-and-pencil / Matlab exercises concerning discrete-time signals and systems: a review of the discrete-time convolution operation.

The use of simulation and numerical solutions to validate analytical solutions.

Getting started with the DSP Education kit: LUT-based Real-Time Sine Wave Generation).

Lab experimentation and assessment using the STM32F7 on LUT-based sinusoidal waveform generation.

Peer-to-peer learning/assessment on finding the center of gravity of a discrete-time signal using the properties of the Fourier Transform, and on finding the frequency response of a moving average filter by analytical and numerical means.
Lab experimentation on linear-phase and equivalent minimum-phase lowpass filters, and the effects of lowpass filtering square, triangular and sawtooth signals.

Lab experimentation and assessment on a moving average filter in both recursive and non-recursive implementation forms.

P2P exercises about discrete-time sampling of continuous signals.
Lab exploration on the DMA mechanism and LCD graphical capabilities of the STM32F7 kit.

Solving whiteboard exercises on FIR and IIR comb filtering.
Practical lab exploration on measuring the frequency response of FIR and IIR comb filters.

P2P learning assessment on the analysis of a second-order system.
Practical lab experimentation on measuring the frequency responses of second-order all-pole and all-pass filters.

Evaluated lab experimentation on designing, modifying and measuring equiripple linear-phase FIR filters.

Evaluated P2P exercises about designing discrete-time linear-phase differentiators and Hilbert transformers.
Solving whiteboard exercises about the Discrete Fourier Transform.

Revisiting FIR Filters: linear phase, minimum phase, and other types of phase responses; multiple Z-domain zero configurations having the same frequency response magnitude.
Lab experiments involving an FIR differentiator and Hilbert Transformer.

Whiteboard exercise about computing the discrete autocorrelation sequence in the time domain versus in the frequency domain (using the Wiener-Khintchine Theorem).
Evaluated lab experimentation on spectral analysis using the FFT: leakage, aliasing and windowing.

Whiteboard/Matlab exercise about the computation and interpretation of spectrograms.
Non-graded lab experimentation on adaptive filters in a system identification configuration: the steepest descent concept, the impact of the adaptation factor and the relevance of the bandwidth of the excitation signal.