Discrete-time signal processing
Price:€ 3.000,00 excl. VAT
Duration:17 weekly evening sessions, an exam and a closing session
Contact:email@example.com, +31 85 401 3600
Discrete-time signal processing is a key technology for numerous systems and services. For example, the enhancement, transmission and storage of audio and video signals and speech recognition would be unthinkable without DTSP. This course gives the basic theory for this fascinating area.
Designers working in research, product development or electrical production mechanization. Technical college / university level (Electrical Engineering, Physics). Prerequisite: basic knowledge in mathematics (differentiation, integration, complex calculation, Fourier and Laplace transforms).
Summary of Fourier theory, linear time-invariant continuous (LTC) and discrete (LTD) signals and systems, sampling, Z-transform of discrete signals and systems, signal transformation, DFT and FFT.
Introduction to digital filters, finite and infinite impulse response (FIR and IIR), recursive/non-recursive structures (RDF, NRDF), transversal filter, direct forms, cascade and parallel structure, special filters, design methods for discrete and recursive filters, windowing, changing the sample frequency, Influence of finite word length, quantization, overflow, limit cycle, Sample rate conversion, Filters with complex coefficients.
17 lessons (17 - 20 pm), examination (3 hours) and closing session (1 hour).
Study load excl class sessions: homework 4 - 8 hours a week.
Lectures. Course material: course notes and books. Award: certificate.