dr. J. Martinez

Principal Educator
Electrical Engineering Education (EEE), Department of Microelectronics

PhD thesis (Nov 2013): Low-complexity computer simulation of multichannel room impulse responses
Promotor: R.L. Lagendijk, Richard Heusdens

Expertise: Acoustic signal processing


As Principal Educator Jorge is responsible for the development and accomplishment of the BSc Electrical Engineering curriculum. In particular, he is responsible coordinator for the "Autonomous Driving Challenge" in EPO-4, and its prerequisite, the Telecommunications A practicum. He is also a tutor in "Design a Chip" EPO-3, and its Integrated Circuits practicum prerequisite.

Jorge received his PhD degree from TuDelft in 2013. He specialized in acoustical signal processing. In particular modeling and simulation of "multi-channel room impulse responses", which is a characterization of how the sound field evolves in a given place. This has many uses in our modern society, from improved speech recognition in voice-controlled "intelligent personal assistants", to better noise reduction in your mobile phone, or to be able to understand the playing message at the train station even when the train arrives. Jorge actively research these and other related topics as a Research Fellow within the Circuits and Systems Group at TuDelft.

Having a question regarding these subjects? Do not hesitate in contacting Jorge!

EE2L11 EPO-3: Design a Chip

Structural hierarchical design of a VLSI chip, implemented using Sea-of-Gates

EE2L21 EPO-4: "KITT" autonomous driving challenge

Make a car drive autonomously from A to B

EE2T11 Telecommunications A

A first course in telecommunication, with focus on the physical layer. Includes a lab course related to Signals and Systems (preparing for EPO-4)

ET4386 Estimation and detection

Basics of detection and estimation theory, as used in statistical signal processing, adaptive beamforming, speech enhancement, radar, telecommunication, localization, system identification, and elsewhere.

General signal processing

Generalized discrete Fourier transform (gDFT)

A generalized Fourier transform is introduced that enables linear convolutions without the need of zero-padding. This results in faster, more resource- efficient computations

Software, Jan 2011

Last updated: 26 Dec 2018