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Convolutional Neural Networks are being studied to provide features such as real time image recognition. One of the key operations to support HW implementations of this type of network is the multiplication. Despite the high number of operations required by Convolutional Neural Networks, they became feasible in the past years due the high availability of computing power, present on devices such as...
Evolution-in-materio is a form of unconventional computing combining materials' training and evolutionary search algorithms. In previous work, a mixture of single-walled-carbon-nanotubes (SWCNTs) dispersed in a liquid crystal (LC) was trained so that its morphology and electrical properties were gradually changed to perform a computational task. Material-based computation is treated as an optimisation...
Histogram of Oriented Gradient (HOG) is a popular feature description for the purpose of object detection. However, HOG algorithm requires a high performance system because of its complex operation set. In HOG algorithm, the cell histogram generation is one of the most complex part, it uses inverse tangent, square, square root, floating point multiplication. In this paper, we propose an accurate and...
This paper presents a new low complexity architecture of least-mean-square (LMS) adaptive filter using distributed arithmetic (DA). The DA based LMS adaptive filter requires lookup tables (LUTs) for filtering and weight updating operation whose complexities grow exponential with filter order. In the proposed technique, the complexity of LUT for DA based LMS adaptive filter is reduced by two new serial...
In this paper, we propose an energy-efficient approximate multiplier design approach. Fundamental to this approach is configurable lossy logic compression, coupled with low-cost error mitigation. The logic compression is aimed at reducing the number of product rows using progressive bit significance, and thereby decreasing the number of reduction stages in Wallace-tree accumulation. This accounts...
In this paper, the principle of normalized minimum-sum (NMS) polar decoding process is explored. It is demonstrated that with one properly chosen parameters for NMS algorithm, performances approach to that of the sum-product (SP) algorithm can be achieved. As well, the complexity reduction is realized by calculating a linear function instead of nonlinear function. Simulation results for successive...
Universal Filtered Orthogonal Frequency Division Multiplexing (UF-OFDM) is considered one of the main wave-form candidates to overcome the challenges facing the next generation of mobile communication systems. Due to its spectral properties it can support relaxed synchronization, low-latency communications and flexible time transmission interval. Nevertheless, the available recent literature addresses...
This paper proposes a low complex hardware accelerator algorithmic modification for n-dimensional (nD) FastICA methodology based on Coordinate Rotation Digital Computer (CORDIC) to attain high computation speed. The most complex and time consuming update stage and convergence check required for computation of the nth weight vector are eliminated in the proposed methodology. Using the Gram-Schmidt...
The energy consumption in residential section accounts for over 30% of the world and cost-effective indoor energy management is important. Visible light communication based on variable pulse position modulation (VPPM) is a scheme for efficient and convenient indoor energy management. This paper proposes methods for detecting dimmable packet. First, we describe a method based on correlation bank expanding...
In this paper, belief propagation (BP) detection based on max-sum (MS) algorithm for massive multiple-input multiple-output (MIMO) systems is therefore proposed to reduce computational complexity of general belief propagation. Owing to employing the approximation strategy, complexity reduction of MS is at the expense of detection performance loss. Based on MS algorithm, two effective approaches are...
This paper focuses on low complexity architectures for check node processing in Non-Binary LDPC decoders. To be specific, we focus on Extended Min-Sum decoders and consider the state-of-the-art Forward-Backward and Syndrome-Based approaches. We recall the presorting technique that allows for significant complexity reduction at the Elementary Check Node level. The Extended-Forward architecture is then...
The number of IoT, the Internet of Things, deployments is on the rise worldwide. In particular, we are witnessing an emerging trend of smart cities all over the world. IoT requires hardware, software, integration, deployment and maintenance. Considering the complexity and burdens of the whole process of IoT activation, it is reasonable to deploy an area-scale platform to leverage IoT adoption. These...
By adopting multiple-input multiple-output (MIMO) technique, the spectral efficiency and data rate of wireless communication systems can be highly improved. To fully take the advantages of MIMO, belief prorogation (BP) detection methods are considered as a way in balancing the hardware complexity and error performance. Also with BP methods, polar code, which has been adopted by 3GPP eMBB control channel,...
Low-density parity-check (LDPC) coded massive multiple-input and multiple-output (MIMO) scheme is getting increasingly popular and sophisticated in today's wireless communication systems, since it can highly improve the spectral efficiency, data rates, and error performance. In this paper, a novel iterative detection and decoding (IDD) method for LDPC-coded massive MIMO systems is proposed. Based...
Information systems have become necessary component of the modern world. They encompass all areas of the human activities. Each area imposes its own, individual specifics, which leads to solve a number of unique problems to each of the system. Fuzzy methods allow an optimal way to overcome the difficulties that arise in any information system.
The general system properties of distributed computer systems realized in the global computing environment are analyzed. The reasons for the reproduction of heterogeneity in it and its vulnerability to unauthorized exposure of executable programs are revealed. The principles of the formation in it of the universally programmable and cybersecurity algorithmic space for distributed computing by network...
Progressive edge-growth (PEG) algorithm was proven to be a simple and effective approach to design good LDPC codes. However, the low-density parity-check (LDPC) constructed by PEG algorithm is of a single code rate. In this paper, we propose a modified PEG algorithm to construct multiple-rate LDPC codes, which is referred to as the multiple-rate PEG (MR-PEG) algorithm. The obtained LDPC codes with...
Many real-life systems have integrated circuits interacting with physical systems in safety critical applications. These systems are called hybrid systems. The safety analysis of integrated circuits used in such systems is typically done in isolation of the end application and associated physical system, and hence results in the need to take recourse to conservative design techniques utilizing costly...
Polar codes are the first class of forward error correction (FEC) codes with a provably capacity-achieving capability. Using list successive cancellation decoding (LSCD) with a large list size, the error correction performance of polar codes exceeds other well-known FEC codes. However, the hardware complexity of LSCD rapidly increases with the list size, which incurs high usage of the resources on...
The order book update (OBU) algorithm is widely used in financial exchanges for rebuilding order books. The number of messages produced has drastically increased over time. The software solutions become more and more difficult to scale with the growing message rate and meet the requirement of low latency. This paper explores the potential of reconfigurable platforms in revolutionizing the order book...
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