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Course description
  DIGITAL SIGNAL PROCESSING

Competencies and objectives

 

Course context for academic year 2019-20

The Digital Signal Processing subject will provide students the assimilation of methods and strategies for analyzing discrete signals and designing digital filters. The knowledge imparted will enable students to recognize and use concepts related to signal processing in general and, specifically, to image and audio digital processing.
The course consists of different activities to be carried out as theory, problem solving practice and computer practice classes. In all activities it will be necessary both individual work and group work for successful achievement of the objectives of the course.
The activities related to theory and problem solving practice classes will be taught in the theory lecture room, and computer practice classes will be taught in one of the laboratories of Polytechnic University College.

RECOMMENDATIONS

Before you enroll in the course of Digital Signal Processing you have to study the following subjects:
- FOUNDATION MATHEMATICS
- MATHEMATICS II
- SIGNALS AND SYSTEMS

 

 

Course content (verified by ANECA in official undergraduate and Master’s degrees)

UA Basic Transversal Competences

  • CT10 : Capacity to confront, plan and solve real problems demanded by society in the field of engineering.
  • CT12 : Capacity to assimilate and adapt to the permanent evolution of technology when developing one's professional career.
  • CT13 : Capacity to adopt the scientific method when planning and carrying out different academic and professional tasks.

 

Specific Competences:>>Basic

  • B1 : Capacity to solve any mathematical problems that may arise in engineering. Ability to apply knowledge of: linear algebra, geometry, differential geometry, differential and integral calculus, differential equations and partial derivatives, numerical methods, numerical algorithms, statistics and optimisation.
  • B2 : Basic understanding of using and programming computers, operating systems, databases and computer programs for use in engineering.

 

Basic Transversal Competences

  • CT2 : Students should know how to apply their knowledge to their job or vocation in a professional manner and should possess those skills that are usually reflected when preparing and defending arguments and solving problems in their field of study.
  • CT5 : Students should have developed the necessary learning skills to take on later studies with a high level of autonomy.

 

Specific Competences: >> Competences Common to the Telecommunications Branch

  • C4 : Capacity to analyse and specify the fundamental parameters of communication systems.

 

Specific Competences: >> Competences Specific to Sound and Image

  • E1 : Capacity to construct, exploit and manage telecommunications services and applications, understanding these to be systems for the acquisition, analogue and digital treatment, coding, transport, representation, processing, storage, reproduction, management and presentation of audiovisual services and multimedia information.

 

 

 

Learning outcomes (Training objectives)

No data

 

 

Specific objectives stated by the academic staff for academic year 2019-20

Understanding and applying the Discrete Fourier Transform (DFT) and Fast Fourier Transform (FFT).

Understanding, analyzing, designing and implementing FIR and IIR digital filters.

Understanding and performing adaptive filters.

Understanding and applying spectral analysis of deterministic and random signals.

 

 

General

Code: 20019
Lecturer responsible:
GIMENO NIEVES, ENCARNACION
Credits ECTS: 6,00
Theoretical credits: 1,20
Practical credits: 1,20
Distance-base hours: 3,60

Departments involved

  • Dept: PHYSICS, ENGINEERING SYSTEMS AND SIGNAL THEORY
    Area: SIGNAL THEORY AND COMMUNICATIONS
    Theoretical credits: 1,2
    Practical credits: 1,2
    This Dept. is responsible for the course.
    This Dept. is responsible for the final mark record.

Study programmes where this course is taught