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Syllabus 2018-19 - 14513012 - Digital Signal Processing (Tratamiento digital de la señal)

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  • 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: 2018-19
SYLLABUS
1. COURSE BASIC INFORMATION
NAME: Digital Signal Processing
CODE: 14513012 ACADEMIC YEAR: 2018-19
LANGUAGE: English LEVEL: 1
ECTS CREDITS: 6.0 YEAR: 3, 4 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: -
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 Filers.

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)
ADDITIONAL BOOKLIST:
  • Image processing with MATLAB: applications in medicine and biology. Edition: -. Author: Demirkaya, Omer.. Publisher: Boca Raton (Florida) : CRC Press, cop. 2009.  (Library)
  • Digital Signal Processing [Recurso electrónico] : An Introduction with MATLAB and Applications. Edition: -. Author: O’Shea, Peter. Publisher: Berlin, Heidelberg : Springer Berlin Heidelberg, 2011  (Library)
  • Digital signal processing using MATLAB for students and researchers [Recurso electrónico]. Edition: -. Author: Leis, John, 1966-. Publisher: Hoboken, NJ : Wiley, 2011  (Library)
  • Digital Signal Processing [Recurso electrónico] : An Experimental Approach. Edition: -. Author: Engelberg, Shlomo. Publisher: London : Springer-Verlag London Limited, 2008.  (Library)