## Syllabus 2019-20 - 14513012 - Digital Signal Processing (Tratamiento digital de la señal)

Caption
• Level 1: Tutorial support sessions, materials and exams in this language
• Level 2: Tutorial support sessions, materials, exams and seminars in this language
• Level 3: Tutorial support sessions, materials, exams, seminars and regular lectures in this language
 DEGREE: Grado en Ingeniería telemática FACULTY: SCHOOL OF ENGINEERING OF LINARES ACADEMIC YEAR: 2019-20 COURSE: Digital Signal Processing
SYLLABUS
1. COURSE BASIC INFORMATION
 NAME: Digital Signal Processing CODE: 14513012 ACADEMIC YEAR: 2019-20 LANGUAGE: English LEVEL: 1 ECTS CREDITS: 6.0 YEAR: 3 SEMESTER: PC
2. LECTURER BASIC INFORMATION
 NAME: ROA GÓMEZ, JUAN PEDRO DEPARTMENT: U134 - INGENIERÍA DE TELECOMUNICACIÓN FIELD OF STUDY: 800 - TEORÍA DE LA SEÑAL Y COMUNICACIONES OFFICE NO.: D - D-121 E-MAIL: jproa@ujaen.es P: 953648555 WEBSITE: - ORCID: https://orcid.org/0000-0001-7080-2314 LANGUAGE: English LEVEL: 1
3. CONTENT DESCRIPTION

Theoretical contents:

1:INTRODUCTION TO DIGITAL SIGNAL PROCESSING

Signal Definition. Discrete time signals.

2: Discrete-time Fourier analysis

Discrete-time Fourier transform (DTFT). Sampling. A/D and D/A Conversion.

3 THE DISCRETE FOURIER TRANSFORM (DFT)

DFT for finite secuences.

Properties of the DFT. Circular and linear convolution using the DFT.Efficient calculation of the DFT: FFT algorithms.

4 THE Z-TRANSFORM

Properties of the z-Transform. Analysis of Linear Time Invariant Systems in the z-Domain

5: FILTER DESIGN TECHNIQUES

General Considerations. Design of FIR Filters. Design of IIR Filters. AR, MA y ARMA Filter. Applications: low-pass, band-pass, high-pass filters.

6. APPLICATIONS OF DSP

Applications for audio. Applications for image processing. Applications for communications. Applications for biomedical and biological signals.

Practical contents:

1: Filters. Interpolation and Decimation. Up-sampling and down-sampling.

2: Spectral analysis.

3: Design Of Digital Filters.

4: Effects of Finite Quantization and Rounding in Filters Response

4: Applications of DSP

4. COURSE DESCRIPTION AND TEACHING METHODOLOGY

A1. Lectures with big group of students:

They are based in the explanation of the theory concepts, exercises and practical problems of the course.

A2. Lectures with practical groups :

They are based on the explanation of the practical units in the lab including the execution by the students and resolution of problems in class.

Students with special educational needs should contact the Student Attention Service (Servicio de Atención y Ayudas al Estudiante) in order to receive the appropriate academic support

5. ASSESSMENT METHODOLOGY

DETAILED INFORMATION:

At the end of the semester, the student has to choose between two methods of evaluation: CONTINUOUS EVALUATION or FINAL EXAM.

### CONTINUOUS EVALUATION

This assessment method is organised according to the activities described in the previous table.

To pass the subject, the student has to get a mark higher or equal than 5.0 out of 10 in the overall result of the evaluated aspects, as long as he or she has obtained a mark higher or equal than 4.0 in each one of those assessed aspects.

### FINAL EXAM EVALUATION

This kind of evaluation is based in only one written exam that evaluates all the aspects of the subject, by assessing the student the acquisition of all the competences and learning outcomes established in the subject. This exam will take place during the Examination period on a date established by the centre. The final exam is weighted in the following way:

- Attendance and participation (S1), theoretical concepts (S2) and Exercises, problems and study cases (S3): 70%.

- Laboratory and computer practical work (S4): 30%.

In order to pass the subject, the student must have marks higher or equal to 5.0 out of 10 at each part of the final exam.

The students who have already fulfil the requirements of aspect S4 (Laboratory or computer practical work) through the CONTINUOUS EVALUATION, by obtaining a mark higher or equal to 5.0 out of 10 do not have to make this part in the FINAL EXAM evaluation.

Those aspects successfully completed with a mark higher or equal to 5.0 will be considered passing during that academic year.

With this system will be evaluated the following learning skills:

CG.3, CG.4, CG 9

6. BOOKLIST
MAIN BOOKLIST:
• The essential guide to digital signal processing [Recurso electrónico]. Edition: -. Author: Lyons, Richard G., 1948-. Publisher: Upper Saddle River, NJ : Prentice Hall, c2014  (Library)
• Digital signal processing using MATLAB. Edition: 3rd ed. Author: Ingle, Vinay K. Publisher: Stanford : Cengage Learning cop. 2012  (Library)