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

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Goals
 

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.
 
PSI - EPUSP
Av. Prof. Luciano Gualberto, trav. 3, n. 158
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o Paulo - SP - Brazil


































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