The Infona portal uses cookies, i.e. strings of text saved by a browser on the user's device. The portal can access those files and use them to remember the user's data, such as their chosen settings (screen view, interface language, etc.), or their login data. By using the Infona portal the user accepts automatic saving and using this information for portal operation purposes. More information on the subject can be found in the Privacy Policy and Terms of Service. By closing this window the user confirms that they have read the information on cookie usage, and they accept the privacy policy and the way cookies are used by the portal. You can change the cookie settings in your browser.
Following the long-term goal of substituting conventional power generation with cleaner energy will lead to an integration of a large share of small energy generation units imposing large problem sizes for coordination. The expected huge number of entities leads to a need for new techniques reducing the computational effort for coordination. Predictive scheduling is a frequent task in energy grid...
Compute-and-Forward relaying schemes exploit the additive nature of the wireless channel for decoding linear equations/combinations of transmitted messages. However, decoding equations that maximize the computation rate at each relay is in general not optimal from the network perspective. In fact, the (destination) receiver may fail to recover the individual messages even when the relays have successfully...
Long range low power is a family of technologies promising to connect thousands of sensors to the future internet of things. Within this family of possible technology choices, two different branches have emerged: the standards based on spreaded wideband communication and the standards based on narrowband communication, both promising to reach long range connectivity at very low power. More specifically,...
Conditional random fields (CRF) can generate high-quality confidence measure scores (CMS) for speech recognition systems. However, like many other real-world machine learning tasks, there are only limited annotated data for training but always abundant unlabeled data, which requires too much human efforts and expertise to annotate. To address this issue, we use a scheme of CRF training for ASR confidence...
This paper exposes a new decoder for linear bloc codes. The proposed decoder is based on the resolution of the parity equations system. Elsewhere, to reduce its complexity we have developed a criteria for early terminating the decoding, on the one hand. On the other hand, we introduced a fast method for generating test error patterns. Our decoder is suitable for linear bloc code of medium and high...
Spectrum sensing (SS) is the key enabling technology for wideband cognitive radio networks, where two coexisting systems share the same frequency band. The critical task of SS is required to detect spectrum opportunities and to determine if the spectrum allocation meets the quality of service (QoS) requirements of different users. In case of missed detection, collision happens between secondary and...
In this paper digital steganographic system based on contraction mapping is considered. The proposed steganographic algorithm uses two channels to achieve informational redundancy, which allow decoding by using an algorithm invariant to container signal. This peculiarity is excellent in case of information hiding in chaotic signal. This paper is devoted to the illustration of algorithm performance...
In order to support the very high code rates and challenging throughput demands of the LTE/LTE-A standard, sophisticated Turbo-Code decoder architectures are required. Two types of architectures for the commonly used Max-Log-MAP algorithm are suited to fulfil throughput and frame error rate (FER) performance requirements. One is the more common parallel serial MAP architecture (PSMAP) and the other...
The forthcoming fifth generation of cellular networks (5G) is envisioned to support massive machine type communication (MTC) where a vast number of MTC devices utilize the wireless spectrum to create what is called Internet-of-Things. The vision calls for a paradigm shift in the design and operation of wireless access schemes to enable efficient and reliable massive connectivity with many channel...
We study the transmission over a cloud radio access network in which multiple relays are connected to a central processor (CP) via error-free finite-capacity links. We develop a lattice-based coding scheme in which each relay node computes a linear combination of the users' messages, in the spirit of standard compute-and-forward (CoF). However, rather than forwarding the computed equation to the CP...
In this paper we present a computationally efficient implementation of the sphere decoder, which is employed to solve the integer least-squares (ILS) problem underlying direct model predictive control (MPC) for power electronic applications. The introduced modifications take advantage of the structure of the problem and, as a result, the required real-time operations can be reduced to a minimum. The...
A light field (LF) is a 2D array of closely spaced viewpoint images of a static 3D scene. In an interactive LF streaming (ILFS) scenario, a user successively requests desired neighboring viewpoints for observation, and in response the server must transmit pre-encoded data for correct decoding of the requested viewpoint images. Designing frame structures for ILFS is challenging, since at encoding time...
Brain-machine interfaces (BMI) have vastly used a single scale of neural activity, e.g., spikes or electrocorticography (ECoG), as their control signal. New technology allows for simultaneous recording of multiple scales of neural activity, from spikes to local field potentials (LFP) and ECoG. These advances introduce the new challenge of modeling and decoding multiple scales of neural activity jointly...
In the field of deep neural networks, several generative methods have been proposed to address the challenges from generative and discriminative tasks, e.g., natural language process, image caption and image generation. In this paper, a conditional recurrent variational autoencoder is proposed for multi-digit image synthesis. This model is capable of generating multi-digit images from the given number...
In this paper, the belief propagation (BP) based approximation methods which are introduced for low density parity check (LDPC) codes in literature are adapted to the Raptor decoder structure in order to reduce its computational complexity. The bit error rate (BER) performances of the algorithms over the additive white Gaussian noise (AWGN) channel are obtained by both theoretical works and simulations...
Characterization of a Sparse Code Multiple Access (SCMA) decoder is performed to measure its error performance and its time and hardware implementation complexity. SCMA is a non-orthogonal technique proposed to support massive connectivity in future 5G wireless telecommunication systems. The reported SCMA decoder is based on the Message Passing Algorithm (MPA). The complexity of SCMA decoding is characterized...
This paper studies the problem of distributed average consensus with input noise and the quantized data. We assume the network, which is expressed by a first-order difference equation. We suppose that the topologies of the network are fixed, and noise is added after encoding and furthermore, some conditions are derived to achieve convergence. However, the weight in our approach is forced to satisfy...
Barcode is one of the existing systems, very fast in scanning and more accurate as compared to other coding systems. Barcode is extensively used because the speed of scanning the barcode is very high as compared to manual data entry. 2D barcodes are developed to increase the capacity compared to 1D barcode. The challenge in the development of barcode is in its decoding. The algorithm should be able...
A method to control the output current of a three-phase grid-tied inverter is presented. An LCL-filter is used to reduce the current distortion injected into the grid. The objective is to minimise current distortion and switching frequency to reduce losses. The control approach is based on finite control set model predictive control with sphere decoding to make the problem computationally tractable...
This work proposes an improved folded multi-LSB decided resistor string digital to analog converter which has lower number of resistors. The nonlinearity calculations are done for this design in order to better analyze the resistor mismatch. Since no buffers are employed to this architecture, the proposed circuit has ameliorated performance in compare with the conventional digital to analog converters...
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.