TY - CHAP
T1 - Spatiotemporal signal enhancement
AU - Benesty, Jacob
AU - Cohen, Israel
AU - Chen, Jingdong
N1 - Publisher Copyright:
© Springer Nature Switzerland AG 2019.
PY - 2019
Y1 - 2019
N2 - While previous chapters were mostly about (fixed, adaptive, and differential) beamforming with some specific array geometries, the discussion in this chapter is on the spatiotemporal signal enhancement problem with any array geometry. By taking into account the interframe correlation, we show how the Kronecker product appears naturally in the definition of the signal vector. Thanks to this, we explain how to perform noise reduction (i.e., signal enhancement) with Kronecker product filters and derive the most well-known algorithms.
AB - While previous chapters were mostly about (fixed, adaptive, and differential) beamforming with some specific array geometries, the discussion in this chapter is on the spatiotemporal signal enhancement problem with any array geometry. By taking into account the interframe correlation, we show how the Kronecker product appears naturally in the definition of the signal vector. Thanks to this, we explain how to perform noise reduction (i.e., signal enhancement) with Kronecker product filters and derive the most well-known algorithms.
UR - https://www.scopus.com/pages/publications/85101097235
U2 - 10.1007/978-3-030-15600-8_7
DO - 10.1007/978-3-030-15600-8_7
M3 - 章节
AN - SCOPUS:85101097235
T3 - Springer Topics in Signal Processing
SP - 169
EP - 186
BT - Springer Topics in Signal Processing
PB - Springer Science and Business Media B.V.
ER -