Signal Processing Laboratory - LPS
Escola Politécnica da USP Adaptive Filtering and Estimation Group




Our main goal is to use mathematical and technological knowledge to create new signal processing solutions for important industrial and scientific problems.

We are interested in

  • developing algorithms that are well suited to the kind of hardware in which they will be employed - general-purpose computers, digital signal processors (DSPs), or custom or semi-custom hardware (FPGAs or ASICS);
  • deriving mathematical models to better understand new and available algorithms, and to lay down the path to the development of new and better methods.
Examples of tools and applications:
  • Array processing: estimation of acoustic images (maps of sound intensities) with microphone arrays.
  • Adaptive filters: echo cancellation (cell phones), system identification (control).
  • Sparse identification methods: solving systems with less equations than unknowns.
  • Digital filters for sample-rate conversion in audio systems.
  • Estimation and classification algorithms for structural health monitoring (detection of defects in mechanical structures).
Examples of mathematical tools frequently used: linear algebra and matrix analysis, probability, statistics and stochastic processes, transforms, and creativity.

Examples of hardware platforms: DSPs, FPGAs, general-purpose computers, GPAs.

Current research and development partnerships:  EMBRAER, University of York.
Av. Prof. Luciano Gualberto, trav. 3, n. 158
CEP 05508-970 - Sa
o Paulo - SP - Brazil

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