Details

Autor(en) / Beteiligte

• Farias, Rodrigo Cabral
• Brossier, Jean-Marc

Titel

Adjustable quantizers for joint estimation of location and scale parameters

Ist Teil von

• 2013 IEEE International Conference on Acoustics, Speech and Signal Processing, 2013, p.6436-6440

Ort / Verlag

IEEE

Erscheinungsjahr

2013

Link zum Volltext

• IEEE_Xplore

Quelle

IEEE Electronic Library (IEL)

Beschreibungen/Notizen

• An adaptive algorithm to estimate jointly unknown location and scale parameters of a sequence of symmetrically distributed independent and identically distributed random variables using quantized measurements from a quantizer with adjustable input gain and input offset is presented. The asymptotic variance of estimation is obtained, simulations under Cauchy and Gaussian distributions are presented to validate the asymptotic results and they are compared to the continuous optimal estimator performance.