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We present and compare two approaches to detect the presence of bird calls in audio recordings using convolutional neural networks on mel spectrograms. In a signal processing challenge using environmental recordings from three very different sources, only two of them available for supervised training, we obtained an Area Under Curve (AUC) measure of 89% on the hidden test set, higher than any other...
The scalable extension (SHVC) of the High Efficiency Video Coding (HEVC) allows encoding in layers a video with multiple quality level such as resolution, bit-depth or Signal to Noise Ratio (SNR). Compared to the equivalent HEVC simulcast, the SHVC extension provides inter-layer prediction mechanisms enabling significant bit-rate savings. Moreover these inter-layer prediction mechanisms are less complex...
Future challenges in Big Imaging problems will require that traditional, "black-box" machine learning methods, be revisited from the perspective of ongoing efforts in distributed computing. This paper proposes a distributed architecture for astrophysical imagery, which exploits the Apache Spark framework for the efficient parallelization of the learning problem at hand. The use case is related...
We propose a highly structured neural network architecture for semantic segmentation with an extremely small model size, suitable for low-power embedded and mobile platforms. Specifically, our architecture combines i) a Haar wavelet-based tree-like convolutional neural network (CNN), ii) a random layer realizing a radial basis function kernel approximation, and iii) a linear classifier. While stages...
Person re-identification is one of the widely studied research topic in the fields of computer vision and pattern recognition. In this paper, we present a deep multi-instance learning approach for person re-identification. Since most publicly available databases for pedestrian re-identification are not enough big, over-fitting problems occur in deep learning architectures. To tackle this problem,...
We introduce a new signal sampling scheme which allows high quality signal conversion to overcome the constraint of effective number of bits in high speed signal acquisition. The proposed scheme is based on the popular successive approximation register (SAR) and employs compressive sensing technique to increase the resolution of a SAR analog-to-digital converter (ADC) architecture. We present signal...
ETSI has developed a novel Software Radio Reconfiguration framework encompassing technical, certification and security solutions. Compared to legacy Software Reconfiguration technology, such as the Software Communications Architecture, the ETSI solution is designed for lowest overall power consumption and efficiency. For this purpose, a novel approach for Code Portability has been developed — a Radio...
This paper presents a novel runtime-reconfigurable, mixed radix core for computation 2-, 3-, 4— point fast Fourier transforms (FFT). The proposed architecture is based on radix-3 Wingorad Fourier transform, however multiplication is performed by constant multiplication instead of general multiplier. The complexity is equal to multiplierless 3-point FFT in terms of adders/subtractors with the exception...
The vehicles typically have a lifetime of several years, possibly even longer than 10 years, over which communication technology will almost certainly evolve dramatically. The challenge of automotive communication platform is to ensure that a radio communication component remains relevant over the entire lifetime of a vehicle. A highly efficient software reconfiguration solution is introduced in this...
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