A weighted linear prediction method for near-field source localization

By Emmanuèle Grosicki, Karim Abed-Meraim. IEEE Transactions on Signal Processing, 2002

300 citations recorded by the source corpus.

Subfields: Aerospace Engineering, Signal Processing

View Paper: https://www.semanticscholar.org/paper/17ecfbad32eb4d3cf8a674d3ecdfe642e0a01be5

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Aerospace Engineering

1. Marc Roper
2. Ivan Glesk
3. Farzad Pour Rahimian
4. Saleh Seyedzadeh

In Signal Processing

1. Marc Roper
2. Ivan Glesk
3. Farzad Pour Rahimian
4. Saleh Seyedzadeh

Citations in the corpus

• Mixed Near-Field and Far-Field Source Localization Based on Uniform Linear Array Partition (2016, background): “In the Fresnel Region, we often consider that higher than second order item of the polynomials are approximately equal to zero [11], i.”
• Machine learning for estimation of building energy consumption and performance: a review (2018, methodology): “Since early 2000, Gaussian process (GP) regression has been employed by researchers in different application (Jiang et al. 2010; Grosicki et al. 2005; Bukkapatnam and Cheng 2010).”