| Contents |
| Topic | Sub-topic |
| 1.- Analog to Digital Conversion | 1.1.- Some sampling concepts. The Nyquist Theorem 1.2.- Quantization 1.3- Analog Signal Reconstruction |
| Tema 2.- Digital Systems Modeling | 2.1.- Basic Discrete Signals 2.2.- Discrete Convolution 2.3.- Z Transfom |
| Tema 3.- Discrete-time Frequential Response | 3.1.- Discrete Sinusoidal Signals Senyals senoidals. Discrete Frequency Definition 3.2.- Discrete Fourier Transform, DFT. 3.3.- Fast Fourier Transform, FFT 3.4.- Pole-zero diagram in discrete time. |
| Tema 4.- Digital Filter Design | 4.1.- Filters FIR. 4.2.- Filters IIR. |
| Personalized attention |
| Description |
| Individual attention at preescribed schedule. |
| Assessment |
| Other comments and second exam session |
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The exam will consist of a multiple choice test of the entire subject with a weight of 100%. During the exam, the use of any communication and data transmission device by students will be strictly forbidden. |
| Sources of information |
| Basic |
A.V. Oppenheim et al., Signals and Systems, , Prentice-Hall
J.G. Proakis and D.G. Manolakis, Introduction to Digital Signal Processing, , Macmillan |
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(*)The teaching guide is the document in which the URV publishes the information about all its courses. It is a public document and cannot be modified. Only in exceptional cases can it be revised by the competent agent or duly revised so that it is in line with current legislation. |
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