Results 101 to 110 of about 2,109,467 (140)

Convolutional Beamspace for Array Signal Processing

IEEE International Conference on Acoustics, Speech, and Signal Processing, 2020
A new type of beamspace for array processing is introduced called convolutional beamspace. It enjoys the advantages of traditional beamspace such as lower computational complexity, increased parallelism of subband processing, and improved resolution ...
P. Vaidyanathan, Po-Chih Chen
semanticscholar   +1 more source

Two decades of array signal processing research: the parametric approach

IEEE Signal Processing Magazine, 1996
The quintessential goal of sensor array signal processing is the estimation of parameters by fusing temporal and spatial information, captured via sampling a wavefield with a set of judiciously placed antenna sensors.
H. Krim, M. Viberg
semanticscholar   +1 more source

Exploring Energy Efficient Quantum-resistant Signal Processing Using Array Processors

IEEE International Conference on Acoustics, Speech, and Signal Processing, 2020
Quantum computers threaten to break public-key cryptography schemes such as DSA and ECDSA in polynomial time, which poses an imminent threat to secure signal processing.
Hamid Nejatollahi, Sina Shahhosseini, Rosario Cammarota, N. Dutt   +3 more
semanticscholar   +1 more source

The Role of Subspace Estimation in Array Signal Processing

Asilomar Conference on Signals, Systems and Computers, 2019
Subspace-based algorithms for array signal processing typically begin with an eigenvalue decomposition of a sample covariance matrix. The eigenvectors are partitioned into two sets to get bases for signal and noise subspaces.
R. Vaccaro
semanticscholar   +1 more source

Adaptive beamforming for array signal processing in aeroacoustic measurements.

Journal of the Acoustical Society of America, 2012
Phased microphone arrays have become an important tool in the localization of noise sources for aeroacoustic applications. In most practical aerospace cases the conventional beamforming algorithm of the delay-and-sum type has been adopted.
Xun Huang, L. Bai, I. Vinogradov, E. Peers   +3 more
semanticscholar   +1 more source

Observer-based beamforming algorithm for acoustic array signal processing.

Journal of the Acoustical Society of America, 2011
In the field of noise identification with microphone arrays, conventional delay-and-sum (DAS) beamforming is the most popular signal processing technique.
L. Bai, Xun Huang
semanticscholar   +1 more source

Speech Processing for Digital Home Assistants: Combining signal processing with deep-learning techniques

IEEE Signal Processing Magazine, 2019
Once a popular theme of futuristic science fiction or far-fetched technology forecasts, digital home assistants with a spoken language interface have become a ubiquitous commodity today. This success has been made possible by major advancements in signal
R. Haeb-Umbach, Shinji Watanabe, T. Nakatani, M. Bacchiani, Björn Hoffmeister, M. Seltzer, H. Zen, M. Souden   +7 more
semanticscholar   +1 more source

Array signal processing

, 1983
Array signal processing (ASP) represents a class of antenna system where the output from an array is subjected to various forms of signal processing (e.g. phase and amplitude control, time delay or frequency translation) in order to produce outputs which
D. Davies, K. Corless, D. Hicks, K. Milne   +3 more
semanticscholar   +1 more source

Complex angular central Gaussian mixture model for directional statistics in mask-based microphone array signal processing

European Signal Processing Conference, 2016
N. Ito, S. Araki, T. Nakatani
semanticscholar   +1 more source

Single-atom catalysts boost signal amplification for biosensing

Chemical Society Reviews, 2021
Chengzhou Zhu, Dan Du, Yuehe Lin
exaly