The laboratory brings together expertise in electronics, mechanics, computing, automation and control to support teaching, research, development and innovation in mechatronic systems for civilian and military applications.

The laboratory’s main research topics include acoustic signal processing; adaptive processing of signals affected by acoustic interference or variations, including noise, reverberation, self-generated interference from robots and drones, and acoustic scenes; signal enhancement and intelligibility prediction; robust sound source localization and tracking; wireless acoustic sensor networks; stochastic and learning-based audio classification; filtering of impulsive and nonstationary noise; biometric systems; pattern recognition; automatic speaker recognition systems (granted patent); new voice features and models for classifying speech, speakers, audio and sound; and acoustic emotion recognition. It has an acoustic studio for recording, signal processing and perceptual tests of sound intelligibility. Applications in urban acoustic environments include robot hearing and drones/unmanned aerial vehicles. Facilities include a digital acoustic studio for signal processing and treatment, as well as acoustic measurement equipment.

The laboratory supports teaching and research in signal processing, particularly audio signal acquisition and source localization. In addition to computing resources and digital signal processors (DSPs), it has an acoustic chamber and professional equipment for high-quality signal acquisition, including several microphone arrays, a multichannel A/D converter and an electroglottograph, as well as a quadcopter. Laboratory website.

The laboratory supports undergraduate students through practical laboratory activities and graduate students through simulations and experimental measurements. It enables theoretical and experimental research on devices for optical communications, guided and free-space optical communications systems, optical networks, WDM networks and fiber-optic sensors. Laboratory website.

The laboratory conducts research on the development and performance assessment of digital transmission systems in a variety of applications, including mobile communications, satellite communications and ionospheric communication links. Its research includes adaptive equalizers for frequency-selective and time-varying channels, OFDM receivers, and error modeling for performance assessment of communications network protocols.

The laboratory supports teaching and research on high-frequency devices and systems in the microwave and millimeter-wave bands. Its equipment includes instruments for characterizing the linear parameters of passive and active one-port and two-port microwave devices, an X-band microwave training kit based on waveguides, analog signal generators and a spectrum analyzer.

The laboratory supports teaching and research in video systems and image processing. It has equipment for generating and displaying analog video signals, as well as computers and high-resolution monitors for processing and visualizing digital images and videos.

The laboratory supports teaching and research on radio-frequency communications systems in the HF, VHF and UHF bands, with an emphasis on radiating systems, communications links, and RF circuits and systems for civilian and military applications.

The laboratory supports teaching in modeling, identification and analysis of dynamic systems and control system design, as well as research on optimal and modern control systems. Its main resources include a Quanser 2 DOF Helicopter experimental platform and a Quanser Engineering Trainer (QET) DC Motor Control experimental platform.

The laboratory studies and analyzes the cybersecurity of critical industrial infrastructure exposed to real malware attacks. It was established under a partnership agreement between ITAIPU, the Brazilian Army Command through its Department of Science and Technology, and the ITAIPU-Brazil Technological Park Foundation. It provides a real-time hardware-in-the-loop simulation environment capable of representing critical electric power infrastructure, including business and management, supervisory, automation and control layers, as well as system operating dynamics. It combines physical and virtual elements of operational technology and information and communications technology within an Industry 4.0 environment.