[BOOK][B] Hyperspectral imaging: techniques for spectral detection and classification
CI Chang - 2003 - books.google.com
Hyperspectral Imaging: Techniques for Spectral Detection and Classification is an outgrowth
of the research conducted over the years in the Remote Sensing Signal and Image …
of the research conducted over the years in the Remote Sensing Signal and Image …
Signal identification for multiple-antenna wireless systems: Achievements and challenges
Signal identification is an umbrella term for signal processing techniques designed for the
identification of the transmission parameters of unknown or partially known communication …
identification of the transmission parameters of unknown or partially known communication …
Deep learning approach in DOA estimation: A systematic literature review
S Ge, K Li, SNBM Rum - Mobile Information Systems, 2021 - Wiley Online Library
In array signal processing, the direction of arrival (DOA) of the signal source has drawn
broad research interests with its wide applications in fields such as sonar, radar …
broad research interests with its wide applications in fields such as sonar, radar …
Detection of signals by information theoretic criteria: General asymptotic performance analysis
E Fishler, M Grosmann, H Messer - IEEE Transactions on …, 2002 - ieeexplore.ieee.org
Detecting the number of sources is a well-known and a well-investigated problem. In this
problem, the number of sources im**ing on an array of sensors is to be estimated. The …
problem, the number of sources im**ing on an array of sensors is to be estimated. The …
Self-initiating MUSIC-based direction finding and polarization estimation in spatio-polarizational beamspace
A novel self-initiating multiple signal classification (MUSIC)-based direction-finding (DF) and
polarization-estimation algorithm in spatio-polarizational beamspace is presented for an …
polarization-estimation algorithm in spatio-polarizational beamspace is presented for an …
Detection of the number of signals by signal subspace matching
We present a novel and computationally simple solution to the problem of detecting the
number of signals, which is applicable to both white and colored noise, and to a very small …
number of signals, which is applicable to both white and colored noise, and to a very small …
[BOOK][B] Propagation channel characterization, parameter estimation, and modeling for wireless communications
X Yin, X Cheng - 2016 - books.google.com
A comprehensive reference giving a thorough explanation of propagation mechanisms,
channel characteristics results, measurement approaches and the modelling of channels …
channel characteristics results, measurement approaches and the modelling of channels …
Autonomous vehicle source enumeration exploiting non-cooperative UAV in software defined internet of vehicles
The traffic congestion and accidents can be relieved by deploying the software defined
internet of vehicles (SDN-IoV). However, the traffic of pedestrians and vehicles is particularly …
internet of vehicles (SDN-IoV). However, the traffic of pedestrians and vehicles is particularly …
Model-aided deep neural network for source number detection
Source number detection is a critical problem in array signal processing. Conventional
model-driven methods eg, Akaikes information criterion and minimum description length …
model-driven methods eg, Akaikes information criterion and minimum description length …
Robust adaptive beamforming via covariance matrix reconstruction with diagonal loading on interference sources covariance matrix
Y Yang, X Xu, H Yang, W Li - Digital Signal Processing, 2023 - Elsevier
The majority of the existing adaptive beamforming methods utilize the interference-plus-
noise covariance matrix (INCM) to prevent the signal of interest (SOI) from being …
noise covariance matrix (INCM) to prevent the signal of interest (SOI) from being …