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Applied Signal Processing [PDF]

open access: yes, 2021
Being an inter-disciplinary subject, Signal Processing has application in almost all scientific fields. Applied Signal Processing tries to link between the analog and digital signal processing domains. Since the digital signal processing techniques have evolved from its analog counterpart, this book begins by explaining the fundamental concepts in ...
openaire   +5 more sources

Bistatic MIMO Radar Clutter Suppression by Exploiting the Transmit Angle

open access: yesLeida xuebao, 2014
The transmit angle of bistatic radars can be obtained by introducing Multiple-Input Multiple-Output (MIMO) radar techniques. The Three-Dimensional (3D) clutter spectra, that is, the transmit angle, receive angle, and Doppler frequency, are introduced ...
Li Jun   +3 more
doaj   +1 more source

Intelligent Radar Jamming Recognition in Open Set Environment Based on Deep Learning Networks

open access: yesRemote Sensing, 2022
Jamming recognition is an essential step in radar detection and anti-jamming in the complex electromagnetic environment. When radars detect an unknown type of jamming that does not occur in the training set, the existing radar jamming recognition ...
Yu Zhou   +5 more
doaj   +1 more source

Graph Signal Processing: Overview, Challenges, and Applications [PDF]

open access: yesProceedings of the IEEE, 2017
Research in graph signal processing (GSP) aims to develop tools for processing data defined on irregular graph domains. In this paper, we first provide an overview of core ideas in GSP and their connection to conventional digital signal processing, along
Antonio Ortega   +4 more
semanticscholar   +1 more source

Graph Signal Processing for Machine Learning: A Review and New Perspectives [PDF]

open access: yesIEEE Signal Processing Magazine, 2020
The effective representation, processing, analysis, and visualization of large-scale structured data, especially those related to complex domains, such as networks and graphs, are one of the key questions in modern machine learning.
Xiaowen Dong   +4 more
semanticscholar   +1 more source

Imaging Algorithm for Rotor Synthetic Aperture Radar Using Stepped-frequency Waveform

open access: yesLeida xuebao, 2014
For ROtor Synthetic Aperture Radar (ROSAR) using the stepped-frequency waveform, an imaging method based on Range Migration Correction (RMC) for ROSAR is proposed.
Zeng Cao   +3 more
doaj   +1 more source

Rotating Interferometer-based Algorithm for Parameter Estimation of Near-field Source

open access: yesLeida xuebao, 2015
This paper proposes a novel rotating interferometer-based algorithm for parameter estimation of nearfield source. The algorithm exploits the rotation of a single long baseline interferometer and the integration operation of the phase to unwrap the phase ...
Ma Jing-tao   +3 more
doaj   +1 more source

Aircraft Target Classification Based on Correlation Features from Time-domain Echoes

open access: yesLeida xuebao, 2015
This paper reports the classification of helicopters, propeller-driven aircraft, and turbojet based on differences in their time-domain modulation periods using a conventional radar system.
Du Lan   +4 more
doaj   +1 more source

MIMO radar techniques: two-stage constant false alarm rate detection for fast-fluctuating targets

open access: yesThe Journal of Engineering, 2019
Here, the authors analyse a two-step constant false alarm rate (CFAR) detection problem in distributed sensor system (e.g. statistical multiple-input multiple-output (MIMO) radar) for fast-fluctuating targets (TS-AMF-II).
Zhihua Li   +3 more
doaj   +1 more source

Multi-Resolution STAP for Enhanced Ultra-Low-Altitude Target Detection

open access: yesRemote Sensing, 2021
In this paper, an ultra-low-altitude target (ULAT) detection approach, referred to as the multi-resolution space-time adaptive processing (STAP), is proposed to enhance the target detection performance in a missile-borne radar system.
Haodong Li   +5 more
doaj   +1 more source

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