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In recent years, deep discriminative models have achieved extraordinary performance on supervised learning tasks, significantly outperforming their generative counterparts. However, their success relies on the presence of a large amount of labeled data. How can one use the same discriminative models for learning useful features in the absence of labels? We address this question in this paper, by jointly...
Polar codes are a family of error correcting codes that achieves the symmetric capacity of memoryless channels when the code length N tends to infinity. However, moderate code lengths are required in most of wireless digital applications to limit the decoding latency. In some other applications, such as optical communications or quantum key distribution, the latency introduced by very long codes is...
To compress large datasets of high-dimensional descriptors, modern quantization schemes learn multiple codebooks and then represent individual descriptors as combinations of codewords. Once the codebooks are learned, these schemes encode descriptors independently. In contrast to that, we present a new coding scheme that arranges dataset descriptors into a set of arborescence graphs, and then encodes...
A universal design methodology for inter-leavers in bit-interleaved coded modulation (BICM) systems deploying binary irregular quasi-cyclic low-density parity-check (QC-LDPC) codes and higher-order modulation is presented. The interleaver is introduced to lower decoding threshold when higher-order modulation is adopted. For this purpose, an optimization procedure with modified numerical analysis as...
Increased demand for wireless services has spurred research into spectrum co-existence between radar and communication systems. The effect of an unaltered radar interference on an uncoded communication receiver has been investigated for constellations used in commercial systems. However, the constellation design — possible for a cognitive transmitter-receiver pair — that maximizes the transmission...
Efficient code descriptions of rate compatible polar codes are studied. An efficient code description method, so-called the polarization weight sequence that defines multiple codewords, was proposed in 3GPP standardization. We verify the validity of the method for various environments. We assess the performance degradation under successive cancellation (SC) decoding and SC list decoding compared with...
Deep multi-layer neural networks are generally trained using variants of the gradient descent based algorithm. However, this kind of algorithms usually encounter a series of shortcomings, such as low training efficiency, local minimum, difficult control parameter tuning, and gradient vanishing or exploding. Besides, for a specific application, how to design the structure of the network, that is, how...
The bit mapping pattern has a crucial effect on the error performance of a bit-interleaved polar-coded modulation (BIPCM) system. In this paper, we have shown that a large proportion of the mapping patterns are producing the same error performances and are hence redundant as far as mapping optimization is concerned. An effective method is then proposed to eliminate the redundant mapping patterns and...
A parameter optimization scheme of block interleaver for polar coding with bit-interleaved coded modulation (BICM) is proposed in this paper. We analyze the characteristics of a random interleaver applied to polar codes with high-order modulation, which is ideal but infeasible to implement. Then we derive the parameter optimization algorithm of block interleaver for polar coding with BICM. The block...
Recently, the community of style transfer is trying to incorporate semantic information into traditional system. This practice achieves better perceptual results by transferring the style between semantically-corresponding regions. Yet, few efforts are invested to address the computation bottleneck of back-propagation. In this paper, we propose a new framework for fast semantic style transfer. Our...
In the past few years, the interest in model predictive control (MPC) for power electronics has increased significantly. It proves to be a good alternative to space-vector modulation at low switching frequencies. It has been shown that an increase in the prediction horizon improves the system performance. Unfortunately, increasing the horizon leads to an exponential increase in the complexity of the...
Plane wave methods for ultrafast ultrasound imaging suffer from a low signal to noise ratio (SNR) and a limited field of view at greater imaging depths. Imaging using multiple focused coded beams in parallel is one strategy for high speed imaging that may improve on these limitations. However, the SNR and resolution of this strategy are degraded by the interference between the beams transmitted in...
Data representation plays an important role in performance of machine learning algorithms. Since data usually lacks the desired quality, many efforts have been made to provide a more desirable representation of data. Among many different approaches, sparse data representation has gained popularity in recent years. In this paper, we propose a new sparse autoencoder by imposing the power two of smoothed...
The joint optimization of partial response continuous phase modulation (CPM) parameters is addressed. For fixed modulation order and memory length, the modulation index, the symbol rate and the phase pulse shape are considered as degrees of freedom. In particular, we drop the restriction of “classical” phase pulses and we allow for custom shapes, which are parametrized through Bezier curves. In order...
We propose a novel algorithm for weakly supervised semantic segmentation based on image-level class labels only. In weakly supervised setting, it is commonly observed that trained model overly focuses on discriminative parts rather than the entire object area. Our goal is to overcome this limitation with no additional human intervention by retrieving videos relevant to target class labels from web...
Small cell densification and advanced multi-user access schemes are promising approaches to dramatically improve 5G system performance. Towards efficient spectrum usage in ultra-dense heterogeneous networks, spectrum reuse between backhauling and access links combined with full duplex is applied. This forms a full-duplex self-backhauled heterogeneous network (FS-HetNet). Considering co-channel interference...
In this paper, we consider trusted content delivery in a large-scale SIC-enabled wireless network in the presence of trust degree information. The trust degree of a node quantifies a degree of its trustworthiness, and we model the network with multiple tiers based on the trust degrees of nodes. To improve the successful receive probability of an authentic file, we adopt a simple but effective serving...
In this paper, we consider optimal transceiver design and relay selection for simultaneous transfer of data and energy in a cooperative network consisting of amplify-and-forward (AF) relays. In this context, we address two different problems and propose optimal relay selection and transceiver processing. Furthermore, the problems are formulated for both time switching (TS) and power splitting (PS)...
In this paper, we formulate a real-world Facility Layout Problem as a constraint satisfaction problem and propose a new method with a genetic algorithm. The created layout should reflect the desires of the users of the facility such as individuality, intuition, comfortableness, and convenience. We employed a GA using Levy Flights as basis for an improved mutation operator and used an island model...
For any code, the set of received words generated by insertion errors is infinitely large. We prove that infinitely many of these words are uniquely decodable. We proceed to analyze how often unique decoding from insertions occurs for arbitrary codes. These questions are relevant because insertion errors frequently occur in synchronization and DNA, a medium which is beginning to be used for long term...
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