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International Joint Conference on Neural Networks (IJCNN)

作者： P. Foldesy Analogic and Neural Computing Laboratory Computer and Automation Research Institute Hungarian Academy of Sciences (ATOMKI) Budapest Hungary

This paper collects the most recent parallel coprocessors and highlights the recent trends. It is shown that the single chip massively parallel processor implementations seem to disappear from the scientific investigations (with the exception of low-level near-sensor image processing). Meanwhile, the formerly developed architectures have moved inside complex system-on-chips/microprocessors. The common aspect of the recent architectures is the advanced processing element and internal interconnection solutions, and the dominant mid-grain parallelism (i.e. up to a hundred processing element per chip).

关键词： Coprocessors Application specific integrated circuits Concurrent computing Parallel processing Systolic arrays Radar signal processing signal processing algorithms Laboratories Automation Image processing

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Systematic architecture exploration for implementing interference suppression techniques in wireless receivers

Systematic architecture exploration for implementing interfe...

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IEEE Workshop on signal processing Systems (SIPS)

作者： Ning Zhang B. Haller R. Brodersen Wireless Research Laboratory Lucent Technologies Inc. USA Berkeley Wireless Research Center Department of EECS University of California Berkeley USA

Future wireless systems are required to provide higher data rates, improved spectral efficiency and greater capacity. This can be achieved at the cost of increased signal processing complexity. The successful implementation of advanced algorithms and dedicated hardware architectures to tackle the demanding signal processing tasks calls for an integrated development process. It must effectively exploit the many interrelations between the different levels of the design hierarchy and efficiently bridge the gap between system concepts and their VLSI circuit realization. This paper presents the algorithm and architecture level design of interference suppression techniques for advanced wireless receivers based on the use of multiple antenna elements in combination with appropriate signal combining. A systematic approach to architecture exploration is demonstrated which leads to efficient implementations in terms of both power consumption and silicon area.

关键词： signal processing algorithms Costs Hardware Bridge circuits Very large scale integration signal design Algorithm design and analysis Interference suppression Receiving antennas Energy consumption

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Parallel architectures for real-time control

Parallel architectures for real-time control

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IEE Colloquium on High Performance Applications of Parallel architectures

作者： M.O. Tokhi M.A. Hossain M.J. Baxter P.J. Fleming Department of Automatic Control and Systems Engineering University of Sheffield Sheffield UK

The authors present an investigation into the utilisation of parallel computing techinques for real-time simulation and control of a flexible beam structure in transverse vibration. The performance demands of modern control systems require the employment of complex algorithms with demanding operations which, in turn, leads to shorter sampling times. Therefore, real-time performance in control applications where the use of advanced control methods is warranted becomes difficult to accomplish. Many demanding complex control processes cannot be satisfactorily realised with conventional uni-processor and multi-processor systems. Previous investigations have demonstrated the limitations of employing only transputers for real-time implementations in control applications. Alternative strategies where multi-processor based systems are employed, utilising digital signal processing (DSP) and parallel processing techniques, could provide suitable methodologies.< >

关键词： Digital control Simulation Parallel architectures Real time systems signal processing Structural engineering Computer aided engineering

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An implementation friendly low complexity multiplierless LLR generator for soft MIMO sphere decoders

An implementation friendly low complexity multiplierless LLR...

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IEEE Workshop on signal processing Systems (SIPS)

作者： Min Li David Novo Bruno Bougard Frederik Naessens Liesbet Van Der Perre Francky Catthoor Nomadic Embedded System Division IMEC Leuven Belgium ESAT K.U. Leuven Leuven Belgium

When combined with advanced FEC techniques such as the turbo code and LDPC code, soft-output MIMO sphere decoders significantly outperform hard-output sphere decoders. Hence, algorithms and implementations of soft-output sphere decoders have attracted intensive interest in recent years. Practical soft-output sphere decoder implementations often consist of a list generator and a LLR generator. Most existing implementations focus on the list generator, and the LLR generator is implemented in a relatively straightforward way. However, the LLR generator accounts for a great part of the complexity. Our contribution is an implementation friendly low complexity multiplierless LLR generator. We apply selective and incremental updating, algebraic simplifications and strength reductions to reduce the algorithmic complexity and to eliminate all multiplications. When integrated with the SSFE list generator, our scheme not only remove 100% multiplications, but also remove 26% to 83% additions, 76% to 94% bit-shifts and 63% to 91% memory operations. Besides the algorithmic aspects, we extract the key data-flow block with well-defined control signals. This can be easily mapped onto micro-architectures and implemented as the data-path in ASICs, or a function unit in ASIPs.

关键词： MIMO Decoding signal processing algorithms Parity check codes Detectors Turbo codes Application specific processors Forward error correction Baseband Embedded system

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Energy-Efficient Synthetic-Aperture Radar processing on a Manycore Architecture

Energy-Efficient Synthetic-Aperture Radar Processing on a Ma...

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International Conference on Parallel processing (ICPP)

作者： Zain-Ul-Abdin Anders Åhlander Bertil Svensson Centre for Research on Embedded Systems (CERES) Halmstad University Halmstad Sweden Saab AB Gothenburg Sweden

The next generation radar systems have high performance demands on the signal processing chain. Examples include the advanced image creating sensor systems in which complex calculations are to be performed on huge sets of data in real time. Many core architectures are gaining attention as a means to overcome the computational requirements of the complex radar signal processing by exploiting massive parallelism inherent in the algorithms in an energy efficient manner. In this paper, we evaluate a many core architecture, namely a 16-core Epiphany processor, by implementing two significantly large case studies, viz. an auto focus criterion calculation and the fast factorized back-projection algorithm, both key components in modern synthetic aperture radar systems. The implementation results from the two case studies are compared on the basis of achieved performance and programmability. One of the Epiphany implementations demonstrates the usefulness of the architecture for the streaming based algorithm (the auto focus criterion calculation) by achieving a speedup of 8.9x over a sequential implementation on a state-of-the-art general-purpose processor of a later silicon technology generation and operating at a 2.7x higher clock speed. On the other case study, a highly memory-intensive algorithm (fast factorized back projection), the Epiphany architecture shows a speedup of 4.25x. For embedded signal processing, low power dissipation is equally important as computational performance. In our case studies, the Epiphany implementations of the two algorithms are, respectively, 78x and 38x more energy efficient.

关键词： signal processing algorithms Computer architecture Synthetic aperture radar Parallel processing Radar imaging Image resolution

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signal characterization using scale transform pair

Signal characterization using scale transform pair

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IEEE-SP International Symposium on Time-Frequency and Time-Scale Analysis

作者： M. Izzetoglu T. Akgul N. Bilgutay B. Onaral Electrical and Computer Engineering Department Drexel University Philadelphia PA USA School of Biomedical Engineering Science and Health Systems Drexel University Philadelphia PA USA

We present the "direct inverse scale transform" which is the extension to the "direct scale transform" method originally proposed by Williams, Zalubas and Hero iii (see advanced signal processing algorithms, architectures and implementations VI, SPIE, vol.2846, p.262-72, 1996). This scheme completes the calculation of analysis and synthesis equations for the scale transform pair which is suitable especially for non-integer values of dilation or compression of signals. Several examples of transformed and reconstructed synthetic and real 1-D and 2-D signals are included.

关键词： Transforms Sensor arrays signal analysis Integral equations Image reconstruction Speech analysis Image coding Biomedical engineering Time domain analysis Application software

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Systematic Optimization of Programmable QRD Implementation for Multiple Application Scenarios

Systematic Optimization of Programmable QRD Implementation f...

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IEEE Workshop on signal processing Systems (SIPS)

作者： Min Li Javed Absar Bruno Bougard Liesbet van der Perre Francky Catthoor IMEC vzw Leuven Belgium

Orthogonal-Triangular Decomposition (QRD) is one of the most fundamental signal processing primitives based on complex matrix operations [1]. It forms the core of many advanced multi-dimension and statistical signal processing algorithms that utilize orthogonalization, projection, and rank-revealing principles. Especially in the domain of wireless signal processing, many emerging algorithms in MIMO and OFDM systems have explicit or implicit connections to QRD [2]. This paper is about the systematic optimization of QRD implementation on programmable architectures. Based on the analysis of existing works, we introduce the following higher level components to the new optimization methodology: (1) Exploring high level algorithmic alternatives. (2) Categorizing different application scenarios. (3) Merging cascaded matrix operations. The systematic optimization brings significant improvements for programmable QRD implementations. Comparing to the widely accepted implementation in Numerical Receipts [3], our work achieves up to 79.76% cycle count reduction on TI TMS320C6713, a typical VLIW DSP. Moreover, our work achieves remarkable improvement on the memory subsystem, which is very critical for the power consumption and performance of modern DSP. Specifically, when QRD is used to solve least-square linear equations, our work reduces 99.55% LIP misses and 96.52% LID misses for 32×32 equations.

关键词： signal processing algorithms Multidimensional signal processing Digital signal processing Equations Matrix decomposition MIMO OFDM Algorithm design and analysis Optimization methods Merging

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Graph Based Interference Analysis and Resource Allocation in mmWave IoT Networks. 9

Graph Based Interference Analysis and Resource Allocation in...

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9th IEEE-APS Topical Conference on Antennas and Propagation in Wireless Communications, APWC 2019

作者： Vulchi, Hemalatha Leal, Raquel Perez Armada, Ana Garcia Universidad Carlos III de Madrid Madrid Spain

ISBN: (纸本)9781728105666

IoT, Internet of Things is one of the most promising technologies of the fifth-generation (5G). The buzz is all about creating smart environments and getting every type of device connected to the internet. 5G will revolutionize the speed at which the data is transferred, and how much can be transferred at one time. Millimeterwave (mmWave) and massiveMIMO are the two key technologies which plays an essential role to address this problem and represents the next frontier of wireless technology, bringing 10 times higher frequencies and 10 times wider channel bandwidths than the most advanced Wi-Fi and cellular technologies. Millimeter-wave technology is going to become less expensive and easier to deploy, making it a candidate for many wireless connections, including backhaul, personal area networks and LANs. In the world of IoT, this translates into instant, reliable machine communication across every industry and application possible [1]. As the density of wireless devices increases and requirements of all their applications change drastically, it becomes more challenging to provide them connectivity within the stipulated amount of time to deliver the needs. As a result, several challenges such as improving the network capacity, coverage area, efficient data capturing, security, signal processing becomes a necessity to be handled. In line with these, a very recent area of research is to exploit mm-wave band for use in 5G IoT implementations unlike the traditional usage of Zigbee and Bluetooth technologies. One of the technical challenges in this broad area of research is coordinating communication among large number of devices ensuring highly reliable links and investigate on the potential of Resource allocation to envision a diverse set of usage scenarios and applications. © 2019 IEEE.

关键词： signal processing

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advanced receiver algorithms for MIMO wireless communications 06

Advanced receiver algorithms for MIMO wireless communication...

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Design, Automation and Test in Europe Conference and Exhibition

作者： A. Burg M. Borgmanr M. Wenk C. Studer H. Bolcskei Integrated Systems Laboratory ETH Zurich Zurich Switzerland Communication Technology Laboratory ETH Zurich Zurich Switzerland

ISBN: (纸本)9783981080100

We describe the VLSI implementation of MIMO detectors that exhibit close-to optimum error-rate performance, but still achieve high throughput at low silicon area. In particular, algorithms and VLSI architectures for sphere decoding (SD) and K-best detection are considered, and the corresponding trade-offs between uncoded error-rate performance, silicon area, and throughput are explored. We show that SD with a per-block run-time constraint is best suited for practical implementations

关键词： MIMO Wireless communication signal processing algorithms Detectors Throughput Very large scale integration Silicon Receiving antennas Laboratories Maximum likelihood decoding

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Evaluating super-resolution bounds on the detection of multiple signals

Proceedings of SPIE - The International Society for Optical ...

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Proceedings of SPIE - The International Society for Optical Engineering 1999年 3807卷 277-287页

作者： Clarke, I.J. Speirs, C.A.

The conventional resolution of individual emitters or frequencies within a cluster is limited by the physical dimensions and electrical aspects (such as the bandwidth) of a sensor system. Super-resolution describes algorithmic techniques that potentially enhance the conventional degree of resolution. Although there has been considerable research into super-resolution techniques (since 1970), there has, in contrast, been very little that addresses the fundamental bound of resolution performance that should theoretically be achievable by a 'perfect' algorithm in ideal conditions. The purpose of this paper is to present a generic method for predicting the fundamental resolution limit. We show that the resolution of closely-spaced signal waveforms is intrinsically linked to the signal-to-noise ratios of those signals. The method can be applied to individual spatial, temporal or spectral discriminants or to multi-discriminant systems. Loss of SNR resulting from the need to separate signals is derived both for the matched filter case and for eigen decomposition.

关键词： signal detection

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