Results 11 to 20 of about 22,848 (292)
MIMO Radar Adaptive Waveform Design for Extended Target Recognition
The problems of multiple-input multiple-output (MIMO) radar adaptive waveform design in additive white Gaussian noise channels and multitarget recognition based on sequential likelihood ratio test are jointly addressed in this paper.
Lulu Wang +3 more
doaj +2 more sources
ECG Waveform Classification Based on P-QRS-T Wave Recognition
Electrocardiogram (ECG) is a periodic signal reflects the activity of the heart. ECG waveform is an important issue to define the heart function so it is helpful to recognize the type of heart diseases.
Muzhir Shaban Al-Ani
doaj +3 more sources
End-to-End Speech Recognition from the Raw Waveform [PDF]
State-of-the-art speech recognition systems rely on fixed, hand-crafted features such as mel-filterbanks to preprocess the waveform before the training pipeline. In this paper, we study end-to-end systems trained directly from the raw waveform, building on two alternatives for trainable replacements of mel-filterbanks that use a convolutional ...
Zeghidour, Neil +4 more
openaire +4 more sources
Extended Target Recognition in Cognitive Radar Networks
We address the problem of adaptive waveform design for extended target recognition in cognitive radar networks. A closed-loop active target recognition radar system is extended to the case of a centralized cognitive radar network, in which a generalized ...
Xiqin Wang +3 more
doaj +2 more sources
LPI Radar Waveform Recognition Based on Features from Multiple Images. [PDF]
Detecting and classifying the modulation type of the intercepted noisy LPI (low probability of intercept) radar signals in real-time is a necessary survival technique in the electronic intelligence systems.
Ma Z, Huang Z, Lin A, Huang G.
europepmc +2 more sources
Densely-Accumulated Convolutional Network for Accurate LPI Radar Waveform Recognition [PDF]
This paper presents a deep learning-based method to automatically recognize low probability of intercept (LPI) radar waveforms against diversified jamming attacks.
Kim, Dong-Seong +6 more
core +1 more source
Recognition of Radar Emitters with Agile Waveform Based on Hybrid Deep Neural Network and Attention Mechanism [PDF]
With the increasing complexity of the electromagnetic environment and the continuous development of radar technology, more and more modern digital programmable radars using agile waveform will appear in the future battlefield.
Y. Feng +6 more
doaj
This article aims to propose an algorithm for the automatic recognition of selected radar signals. The algorithm can find application in areas such as Electronic Warfare (EW), where automatic recognition of the type of intra-pulse modulation or the type ...
Marta Walenczykowska, Adam Kawalec
doaj +1 more source
A Deep 2D Convolutional Network for Waveform-Based Speech Recognition [PDF]
Due to limited computational resources, acoustic models of early automatic speech recognition ( asr) systems were built in low-dimensional feature spaces that incur considerable information loss at the outset of the process.
Renals, Steve +7 more
core +1 more source
Imperceptible black-box waveform-level adversarial attack towards automatic speaker recognition
Automatic speaker recognition is an important biometric authentication approach with emerging applications. However, recent research has shown its vulnerability on adversarial attacks.
Xingyu Zhang +5 more
doaj +1 more source

