Software-defined Radios: Architecture, state-of-the-art, and challenges
R Akeela, B Dezfouli - Computer Communications, 2018 - Elsevier
Software-defined Radio (SDR) is a programmable transceiver with the capability of
operating various wireless communication protocols without the need to change or update …
operating various wireless communication protocols without the need to change or update …
A self-adaptive Harris Hawks optimization algorithm with opposition-based learning and chaotic local search strategy for global optimization and feature selection
AG Hussien, M Amin - International Journal of Machine Learning and …, 2022 - Springer
Abstract Harris Hawks Optimization is a recently proposed algorithm inspired by the
cooperative manner and chasing behavior of harris. However, from the experimental results …
cooperative manner and chasing behavior of harris. However, from the experimental results …
A DDoS attack detection and countermeasure scheme based on DWT and auto-encoder neural network for SDN
Abstract Software Defined Networking provides new functionalities to easily manage,
configure, and optimize network resources by introducing a clear separation between the …
configure, and optimize network resources by introducing a clear separation between the …
Neural networks fail to learn periodic functions and how to fix it
Previous literature offers limited clues on how to learn a periodic function using modern
neural networks. We start with a study of the extrapolation properties of neural networks; we …
neural networks. We start with a study of the extrapolation properties of neural networks; we …
[HTML][HTML] Arrhythmia classification using multirate processing metaheuristic optimization and variational mode decomposition
The concept of mobile healthcare systems is promising. It is based on the cloud connected
wireless biomedical wearables. In this scenario, the compression, processing, transmission …
wireless biomedical wearables. In this scenario, the compression, processing, transmission …
Signal-piloted processing metaheuristic optimization and wavelet decomposition based elucidation of arrhythmia for mobile healthcare
The next generation healthcare systems will be based on the cloud connected wireless
biomedical wearables. The key performance indicators of such systems are the …
biomedical wearables. The key performance indicators of such systems are the …
Single-shot quantum signal processing interferometry
Quantum systems of infinite dimension, such as bosonic oscillators, provide vast resources
for quantum sensing. Yet, a general theory on how to manipulate such bosonic modes for …
for quantum sensing. Yet, a general theory on how to manipulate such bosonic modes for …
Multirate processing with selective subbands and machine learning for efficient arrhythmia classification
The usage of wearable gadgets is growing in the cloud-based health monitoring systems.
The signal compression, computational and power efficiencies play an imperative part in this …
The signal compression, computational and power efficiencies play an imperative part in this …
[图书][B] Fractional signals and systems
MD Ortigueira, D Valério - 2020 - books.google.com
The book illustrates the theoretical results of fractional derivatives via applications in signals
and systems, covering continuous and discrete derivatives, and the corresponding linear …
and systems, covering continuous and discrete derivatives, and the corresponding linear …
A novel hybrid of chimp with cuckoo search algorithm for the optimal designing of digital infinite impulse response filter using high-level synthesis
High-level synthesis of data paths in digital filters and model identification tasks are a most
complicated optimization problem. Generally, the use of infinite impulse response (IIR) …
complicated optimization problem. Generally, the use of infinite impulse response (IIR) …