About the Author
Joceli Mayer is a Professor of Electrical Engineering from Federal University of Santa Catarina, Brazil. He got his Ph.D. degree from the University of California at Santa Cruz in Computer Engineering, CSE-UCSC. He got Electrical Engineering and Master on Electrical Engineering degrees from UFSC and a Master degree on Computer Engineering from UCSC.
His interests include digital signal processing applications, image processing and computational vision, speech coding and VOIP systems, signal detection and watermarking of image, video, speech, audio and printed documents, speech recognition, assistive technology, array of sensors, IOT (Internet of Things) applications and more. He has contributed with solutions in DSP to industry partners including Hewlett Packard, Intelbras, AGM and Pixeon.
He is the director of PSILAB, Research Laboratory on Signal Processing, Communication and Recognition.
Papers published on IEEE conferences and periodicals: IEEE publications.
List of publications
Résumé in the CNPq Lattes
This blog is about DSP. Links, demonstrations and discussions on fundamentals of Digital Signal Processing. The posts aim to help students and practioners as well as to motivate people to understand and apply DSP algorithms.
The main applications of DSP are audio signal processing, audio compression, digital image processing, video compression, speech processing, speech recognition, digital communications, RADAR, SONAR, seismology and biomedicine. Specific examples are speech compression and transmission in digital mobile phones, room correction of sound in hi-fi and sound renforcement applications, weather forecasting, economic forecasting, seismic data processing, analysis and control of industrial processes, medical imaging such as CAT scans and MRI, MP3 compression, computer graphics, image manipulation, hi-fi loudspeaker crossovers and equalization, and audio effects for use with electric guitar amplifiers.
Most interesting applications require multidisciplinary approaches that may include DSP for speech, audio, video, image, printed documents or for other media, along with pattern recognition, detection, information theories, to name a few combinations. Moreover, some hardware are usually involved, such as Digital Signal Processors, FPGA devices, microcontrollers, and advanced CPUs and GPUs.
Signal Processing is an essencial technology for the society, yet people in general does not recognize the DSP importance. Prof. K. J. Ray Liu explains why Signal Processing is so important and yet so invisible to people in the Link.
Joceli Mayer 