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Communication Systems Principles Using MATLAB 1

引用

丛书名： []

2018年

作者： John W. Leis

ISBN: (数字)9781119470687

ISBN: (纸本)9781119470670

Discover the basic telecommunications systems principles in an accessible learn-by-doing format Communication Systems Principles Using MATLAB covers a variety of systems principles in telecommunications in an accessible format without the need to master a large body of theory. The text puts the focus on topics such as radio and wireless modulation, reception and transmission, wired networks and fiber optic communications. The book also explores packet networks and TCP/IP as well as digital source and channel coding, and the fundamentals of data encryption. Since MATLAB® is widely used by telecommunications engineers, it was chosen as the vehicle to demonstrate many of the basic ideas, with code examples presented in every chapter. The text addresses digital communications with coverage of packet-switched networks. Many fundamental concepts such as routing via shortest-path are introduced with simple and concrete examples. The treatment of advanced telecommunications topics extends to OFDM for wireless modulation, and public-key exchange algorithms for data encryption. Throughout the book, the author puts the emphasis on understanding rather than memorization. The text also: Includes many useful take-home skills that can be honed while studying each aspect of telecommunications Offers a coding and experimentation approach with many real-world examples provided Gives information on the underlying theory in order to better understand conceptual developments Suggests a valuable learn-by-doing approach to the topic Written for students of telecommunications engineering, Communication Systems Principles Using MATLAB® is the hands-on resource for mastering the basic concepts of telecommunications in a learn-by-doing format.

关键词： telecommunications building blocks root mean square maximum power transfer decibel wired telecommunications wireless telecommunications optical telecommunications pulse shaping line codes transmission lines standing waves radio wave reflection radio wave diffraction intermodulation principles of optical fiber light sources for optical fiber light detectors for optical fiber amplitude modulation frequency modulation phase modulation orthogonal signals orthogonal frequency division multiplexing OFDM WiFi OFDM using FFT spread spectrum packet switching wired local area networks wireless local area networks LANs WLANs IP addressing subnetworks transmission control protocol TCP congestion control object data structures routing algorithms shortest path algorithms quantization vector quantization channel capacity entropy image coding discrete cosine transform DCT audio encoding modified DCT linear predictive coding LPC block error codes Hamming codes convolutional coding Viterbi trellis error checking cyclic redundancy check CRC checksum digital signatures hash functions encryption enciphering key exchange public key encryption

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Diversity: On the Evolution to MIMO and Beyond

Diversity: On the Evolution to MIMO and Beyond

引用

2006 IET Seminar on Waveform Diversity and Design in Communications, Radar and Sonar

作者： T.A. Sturman C. Griffin QinetiQ Limited Malvern UK

ISBN: (纸本)0863417213;9780863417214

This paper considers the evolution to multiple input, multiple output (MIMO) communications, which has its origins in both spatial processing and temporal processing. In the context of this paper, the term 'spatial processing' is taken to include classical/adaptive beamforming and sub-space analysis, whereas the term 'temporal processing' is taken to include the subjects of error control coding, interleaving and equalisation. The objective of this paper is therefore to provide an outline of some of the principal developments within both spatial processing and temporal processing, in order to relate MIMO to the prior art. The emphasis on this paper is on the results which steered this notion of diversity to yield MIMO. The benefits of MIMO have been achieved by integrating the functionality contained within both spatial processing and temporal processing. As shown within this paper, historically, the original motivation within spatial processing was to enhance target location and accuracy in terms of resolution and bias. Temporal processing, in the case of communications engineering, however, was driven by the need to control the number of digital errors between the transmitter and receiver. Each of these two subjects was for a significant number of years treated independently, and excellent process had been made in both. However, a significant barrier within each of these two subjects was the limitation of system processing capability, particularly in terms of both speed and memory. Improvements in the categorisation of physical phenomena associated with a range of wireless channels, and the processing power of recent hardware have enabled the realisation of MIMO to be achieved. As hardware capabilities improve and greater effort is made at the integration of the functionality between the various layers within a communications system, system efficiency and performance can be maximised. The technologies which will be instrumental in achieving this goal are likely to

关键词： Diversity MIMO MUSIC ESPRIT Block codes convolutional codes Interleaving Equalisation and turbo codes multiple input multiple output systems convolutional coding Block codes Multiple signal classification Esapent

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Experimental Demonstration of Nonbinary LDPC convolutional Codes for DP-64QAM/256QAM

Experimental Demonstration of Nonbinary LDPC Convolutional C...

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ECOC 2016;42nd European Conference on Optical Communication

作者： Toshiaki Koike-Akino Kenya Sugihara David S. Millar Milutin Pajovic Wataru Matsumoto Alex Alvarado Robert Maher Domanic Lavery Milen Paskov Keisuke Kojima Kieran Parsons Benn C. Thomsen Seb J. Savory Polina Bayvel Mitsubishi Electric Research Laboratories (MERL) Information Technology R&D Center Mitsubishi Electric Corp. Optical Networks Group University College London (UCL) University of Cambridge Dept. of Engineering

We show the great potential of nonbinary LDPC convolutional codes (NB-LDPC-CC) with low-latency windowed decoding. It is experimentally demonstrated that NB-LDPC-CC can offer a performance improvement of up to 5 dB co... 详细信息

关键词： convolutional coding performance boost low density parity check codes binary code DEcoding

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Design of Stochastic Viterbi Decoders for convolutional Codes

Design of Stochastic Viterbi Decoders for Convolutional Code...

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IEEE International Symposium on Design and Diagnostics of Electronic Circuits & Systems

作者： Te-Hsuan Chen John P. Hayes University of Michigan

ISBN: (纸本)9781467361354

The Viterbi algorithm is widely used to decode convolutional codes. We present an unconventional approach to Viterbi decoder design based on stochastic computing (SC) which represents data by random bitstreams that can be interpreted as probabilities. Stochastic circuits allow many decoding functions to be implemented by simple hardware;e.g., multi-bit multiplication can be realized by an AND gate. SC is also highly error-tolerant since a soft error (bit-flip) has little impact on a SC number's value. It also allows decoding precision to be traded for decoding speed. We design two SC-based Viterbi decoders and also a hybrid binary-SC design;the latter uses SC for arithmetic calculations, but not for storing numbers. The proposed designs are compared with a binary (non-SC) decoder using a standard (7, 1/2) convolutional code. The SC designs are found to be more tolerant of soft errors in the decoder than the binary design, and more capable of supporting some useful trade-offs among area cost, data rate, precision, and bit-error rate.

关键词： Stochastic computing Stochastic logic design Viterbi decoders convolutional codes Viterbi decoders convolutional coding DEcoding Viterbi algorithm Scandium decoders

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Anatomy of High-Performance Deep Learning Convolutions on SIMD Architectures 18

Anatomy of High-Performance Deep Learning Convolutions on SI...

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ACM/IEEE International Conference for High Performance Computing, Networking, Storage, and Analysis

作者： Evangelos Georganas Sasikanth Avancha Kunal Banerjee Dhiraj Kalamkar Greg Henry Hans Pabst Alexander Heinecke Intel Corporation

ISBN: (纸本)9781538683859

Convolution layers are prevalent in many classes of deep neural networks, including convolutional Neural Networks (CNNs) which provide state-of-the-art results for tasks like image recognition, neural machine translation and speech recognition. The computationally expensive nature of a convolution operation has led to the proliferation of implementations including matrix-matrix multiplication formulation, and direct convolution primarily targeting GPUs. In this paper, we introduce direct convolution kernels for ×86 architectures, in particular for Xeon and Xeon Phi systems, which are implemented via a dynamic compilation approach. Our JIT-based implementation shows close to theoretical peak performance, depending on the setting and the CPU architecture at hand. We additionally demonstrate how these JIT-optimized kernels can be integrated into a light-weight multi-node graph execution model. This illustrates that single- and multi-node runs yield high efficiencies and high image-throughputs when executing state-of-the-art image recognition tasks on CPUs.

关键词： convolutional codes Registers Kernel Computer architecture Optimization Lenses Computer Architecture convolutional coding Registers Lenses Kernel CPU architecture Convolution Seeds Image recognition Anatomy SIMD architecture peak performance ARCHITECTURE single instruction multiple datastream machine translation

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Distance Threshold Viterbi Decoding of convolutional Codes

Distance Threshold Viterbi Decoding of Convolutional Codes

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Japan-Egypt International Conference on Electronics, Communications and Computers (JEC-ECC)

作者： Ashraf Mahran Ramy Samy Military Technical College Cairo Egypt Communications Division Space Technology Centers Cairo Egypt

ISBN: (数字)9781728156170

ISBN: (纸本)9781728156187

This work introduces a reduced complexity Viterbi decoding algorithm for convolutional codes. Since the guaranteed error correcting capability is determined by the minimum free distance of the convolutional code, the proposed algorithm will use the free distance threshold as an elimination rule at each state. This discarding threshold is simple in a sense that it does not need updating from one trellis time index to another. The proposed algorithm yields almost the same error performance as the Viterbi algorithm while requiring a substantially smaller average number of computations. Nonetheless, the proposed algorithm has inherent flexibility such that a good compromise between complexity reduction and error performance is fulfilled.

关键词： convolutional codes error correction codes trellis codes Viterbi decoding convolutional coding Viterbi decoding Trellis codes Error correction codes error performance Viterbi algorithm minimum free distance

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Forward Error Correction Techniques Suitable for the Utilization in the PLC Technology

Forward Error Correction Techniques Suitable for the Utiliza...

引用

International Conference on Systems, Signals and Image Processing

作者： Stanislav Dlhan Department of Telecommunications FEI STU Bratislava Ilkovicova 3 812 19 Bratislava Slovakia

ISBN: (纸本)9788022728560

Today's PLC systems are mostly limited in transmission speeds to several kilobits per seconds. Such speeds are certainly not sufficient for running popular services like a broadband Internet, a teleworking or the Video on Demand. This fact is reducing a chance of the PLC technology's deployment in a wide range. One way how to overcome this problem could be in introduction of optimal errors correcting techniques into the PLC technology. In this contribution, different types of coding techniques are discussed, including RS, Turbo or convolutional codes. Theoretical analyses are focused on their positive and negative features visible in case of their deployment in the PLC transmission environment. Special attention is pointed to their robustness against noises, which is analyzed also practically in form of the simulations. Analyses and simulations are done for individual codes as well as combination of codes.

关键词： The PLC environment The PLC transmission channel The PLC simulation model RS Turbo code convolutional code convolutional coding turbo codes Programmable logic controllers deployment Forward error correction Noise

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Novel FEC Schemes for UWB: Design, Modelling and Performance Analysis

Novel FEC Schemes for UWB: Design, Modelling and Performance...

引用

2006 IET Seminar on Waveform Diversity and Design in Communications, Radar and Sonar

作者： V. Lakkundi R. Marsalek Institute of Radio Electronics Brno University of Technology Brno Czech Republic

ISBN: (纸本)0863417213;9780863417214

In this paper, the authors present the design and modelling aspects of UWB turbo codes and UWB SCCCs, along with their performance analysis in comparison with the FEC method recommended by the UWB specifications. The authors consider both the direct spread and multi-carrier versions of UWB in the presence of additive white Gaussian noise (AWGN) channel as well as IEEE 802.15.3 channel models. The results obtained show that UWB turbo codes yield a coding gain of 3-4 dB at an error floor of 10 6 compared to the convolutional encoding and Viterbi decoding (CEVD) method. In addition, UWB SCCC yields a coding gain of 1-2 dB at an error floor of 10 -3 in comparison with the UWB turbo codes. However, convolutional codes perform better than turbo codes at higher signal-to-noise ratios and turbo codes seem to yield a better performance than SCCCs at lower input block sizes

关键词： Wireless personal area networks (WPAN) Ultra wideband communications (UWB) Forward error correction coding (FEC) Turbo codes Serially concatenated convolutional codes (SCCC) turbo codes error floor Ultra wideband technologies coding gain convolutional coding FEC Regimen

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Novel Fast Iterative Decoding Threshold Estimation for Protograph-Based LDPC convolutional Codes

Novel Fast Iterative Decoding Threshold Estimation for Proto...

引用

IEEE Global Communications Conference

作者： Tian Xia Hsiao-Chun Wu Hong Jiang School of Electrical Engineering and Computer Science Louisiana State University Alcatel-Lucent Bell Labs

ISBN: (纸本)9781479959532

The iterative decoding threshold (IDT) estimation for LDPC convolutional codes (LDPC-CCs) may become difficult over additive white Gaussian noise channels, especially when the termination length L gets very large or even approaches infinity. In this paper, we devise a novel fast IDT estimation scheme using the protograph-based extrinsic information transfer (PEXIT) analysis for protograph-based LDPC-CCs. Based on our new analysis, we propose a PEXIT-fast algorithm in which only the mutual information (MI) of a posteriori probability (APP) of the first variable node will be monitored to determine whether the current E_b/N_0 (signal-energy-per-information-bit to noise-power-spectral-density ratio) in evaluation is an upper bound or a lower bound of the IDT. Hence, it is no longer necessary to get through the whole MI evolution and the computational complexity can be greatly reduced thereby. We also design an efficient approach to determine the IDT for an LDPC-CC with an arbitrary large termination length L which can also be allowed to be infinity. The closeness between the known IDTs and the estimated IDTs using our proposed new method for several LDPC-CCs in simulation confirms the effectiveness of our scheme.

关键词： LDPC convolutional codes (LDPC-CCs) Iterative decoding threshold (IDT) Extrinsic information transfer (EXIT) analysis Protograph-based EXIT interdigital transducers AWGN channels AWGN Intimacy convolutional coding Iterative decoding Infinity low density parity check codes Upper bound complexity classes new methods

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SHARING MODEL WITH MULTI-LEVEL FEATURE REPRESENTATIONS

SHARING MODEL WITH MULTI-LEVEL FEATURE REPRESENTATIONS

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IEEE International Conference on Image Processing

作者： Li Shen Gang Sun Shuhui Wang Enhua Wu Qingming Huang Univ. of Chinese Acad. of Sci. Beijing China

ISBN: (纸本)9781479957521

Hierarchical classification models have been proposed to achieve high accuracy by transferring effective information across the categories. One important challenge for this paradigm is to design what can be transferred across the categories. In this paper, we propose a novel method to learn a sharing model by taking advantage of multi-level feature representations. Unlike many of the existing methods which learn the sharing model based on identical feature space, multi-level feature detectors enable our model to capture rich visual information in hierarchical category structure. Moreover, hierarchical classifier parameters associated with multi-level feature representations are learned to model the visual correlation in the hierarchy. The experimental results on Caltech-256 dataset and ImageNet subset demonstrate that our method achieves excellent performance compared with some state-of-the-art methods, and shows the advantage of multi-level information transfer.

关键词： feature extraction image classification image representation Caltech-256 dataset ImageNet subset hierarchical category structure hierarchical classification hierarchical classifier parameters identical feature space multilevel feature detectors multilevel feature representations multilevel information transfer sharing model visual correlation visual information Animals Computational modeling convolutional codes Detectors Feature extraction Vectors Visualization Sharing model multi-level feature representations object categorization Feature extraction visual information convolutional coding image representation Image classification Computational modeling Visualization detector representations

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