… representation, image representation, sequence representation, and combined representation…
3) This article gives detailed examples of each group of signal representation that can …

… signal representations: temporal IQ data, the amplitude/phase representation and the frequency
domain representation… From our analysis we prove that the wireless data representation …

… representations, and computationally complex convex/greedy algorithms, we introduce a
deep learning … a structured representation from training data, and that efficiently computes a …

… simplified representation of the deeper layers can ensure pixel invariants … Deep learning
networks are capable of learning valuable differences between similar classes of UWA signals …

… deep learn- ing, this paper provides a review of the state-of-the-art deep learning techniques
for audio signal … If we learn a representation from the raw waveform, does it still generalize …

… The RadioML and modified RadioML datasets used for testing the proposed model, presented
in the next section of this paper, follow the signal representation as given in equation 1. …

… In [11], we used spectrogram as the sole TF representation. In … representations on the
performance of deep learning based fall detectors. We compare different TF signal representations, …

… We propose Wave2Vec, an end-to-end interpretable deep learning model, to jointly learn
inherent and temporal features of biosignals. We employ two embedding mechanisms to …

… a recurrent deep neural network (NN) for real-time financial signal representation and
trading. Our model is inspired by two biological-related learning concepts of deep learning (DL) …

… develop a novel deep learning approach as the … signal enhancement. In Step 3, the
Short-Time Fourier Transform (STFT) is employed to build the 2D Time-Frequency Representations (…