On successful completion of this course, students will be able to:

1. Understand concepts related to signals and their multiple representations, applying them to the synthesis of real signals;
2. Analyze a spectrum, interpreting its fundamental characteristics (bandwidth, dominant frequencies, etc ...), correlating it with the temporal representation of the signal under analysis;
3. Understand the process of sampling, the Nyquist frequency and the necessary steps to convert analog and digital signals;
4. Know the basic SLIT related concepts, convolution, impulse response and frequency;
5. Implement FIR and IIR filters, and establish criteria for evaluating their performance;
6. Analyze FIR and IIR filters using the Z transform;
7. Apply algorithms for synthesis of FIR (window method) filters;
8. Understand the stationary and transient regime of a filter;
9. Know and understand the tools used in the spectral analysis, such as DFT / FFT and STFT.

Curricular Unit Form