Digital 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, the control of systems, telecommunications would be unthinkable without DSP. This course gives the basic theory for this fascinating area.
The lecturer was a senior consultant working in a support group that supported research and development activities within Philips. He studied the theoretical concepts that form the basis of modern DSP and used these concepts to increase the efficiency of all kind of systems that were developed. An increase of the efficiency by a factor of 10 or more has often been demonstrated.
The results of his studies and consultancy have been captured in a book on digital signal processing (that has been published in Dutch, English, German and French).
He trained more than 3000 persons through the DSP course.
€ 3.090,00 excl. VAT
17 weekly evening sessions, an exam and a closing session
03-09-2018 | 17:00 - 20:00
Designers working in research, product development or electrical production mechanization. Techni...
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 ...
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....
Lectures. Course material: course notes and books. Award: certificate.