Kunyu Wu
ABSTRACT
No abstract available.
- Liu L, Zhao H, Niu J, .2018. OSDM based adaptive multi-mode underwater acoustic communication system. In the Thirteenth ACM International Conference on Underwater Networks & Systems. ACM, 13Google Scholar
- Qarabaqi P, Stojanovic M. 2013. Statistical Characterization and Computationally Efficient Modeling of a Class of Underwater Acoustic Communication Channels. IEEE Journal of Oceanic Engineering 38, 4(2013), 701-717Google ScholarCross Ref
- Simonyan K, Zisserman A.2015. Very Deep Convolutional Networks for Large-Scale Image Recognition. In International Conference on Learning Representations (ICLR). 2015Google Scholar
Recommendations
Automatic modulation recognition using CNN deep learning models
AbstractModulation techniques are widely required in communication applications, especially in wireless communication systems. Thus, it is necessary to classify and recognize types of modulation. Deep learning (DL) models can help precisely recognize the ...
On the cyclostationarity of OFDM and single carrier linearly digitally modulated signals in time dispersive channels: theoretical developments and application
Previous studies on the cyclostationarity aspect of orthogonal frequency division multiplexing (OFDM) and single carrier linearly digitally modulated (SCLD) signals assumed simplified signal and channel models or considered only secondorder ...
APSK Modulation Recognition for DVB-S2 Using GLRT and Radius-Constellation Under Frequency Offset
In this paper, the problem of recognizing APSK modulation for DVB-S2 is studied. We propose a novel recognition method, which is robust to carrier frequency offset and phase error. Firstly, the radius-constellation is defined and the algorithm to ...
Comments