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4th International Conference on Computational Intelligence in Data Mining (ICCIDM)

作者： Agarwal, Arun Kumar, Binayak Satish Agarwal, Kabita Siksha O Anusandhan Deemed Univ ITER Dept EIE Khandagiri Sq Bhubaneswar 751030 Odisha India CV Raman Coll Engn Dept ETC Bhubaneswar 752054 Odisha India

ISBN: (纸本)9789811080555;9789811080548

It can be clearly seen in the modern world of digital era that we depend a lot on mobile/smartphones which in return depends on data/information to proof its worthy. To meet this increased demand of data rate, new technology is needed as for old technology like GPRS and EDGE which is beyond their capacity. So orthogonal frequency division multiplexing (OFDM) takes this place as it increases the data rate in the same bandwidth, as it is also fixed. In this paper, we present a comparison between data handling using different modulations, which in turn can be assumed for bit error rate (BER) and signal-to-noise ratio (SNR) curve, of non-OFDM and OFDM channel under different fading environments.

关键词： Data rate BER Fading channels SNR convolutional coding High-speed Internet OFDM Modulation

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convolutional GROUP-SPARSE coding AND SOURCE LOCALIZATION

CONVOLUTIONAL GROUP-SPARSE CODING AND SOURCE LOCALIZATION

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IEEE International Conference on Acoustics, Speech and Signal Processing

作者： Pol del Aguila Pla Joakim Jaldén School of Electrical Engineering and Computer Science Department of Information Science and Engineering KTH Royal Institute of Technology Stockholm Sweden

ISBN: (纸本)9781538646595

In this paper, we present a new interpretation of non-negatively constrained convolutional coding problems as blind deconvolution problems with spatially variant point spread function. In this light, we propose an optimization framework that generalizes our previous work on non-negative group sparsity for convolutional models. We then link these concepts to source localization problems that arise in scientific imaging, and provide a visual example on an image derived from data captured by the Hubble telescope.

关键词： Sparse representation Source localization Non-negative group sparsity Position measurement sparse representation Scientific imaging convolutional coding

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Performance Improvement of WiMAX (IEEE 802.16d) Using Combined RS-CC Forward Error Channel coding Technique 1

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1st International Conference on Advanced Computational and Communication Paradigms (ICACCP)

作者： Agarwal, Arun Mehta, Saurabh N. AMET Univ Dept Informat Technol Madras 603112 Tamil Nadu India Siksha OAnusandhan Deemed Univ ITER Dept EIE Khandagiri Sq Bhubaneswar 751030 Odisha India Vidyalankar Inst Technol Dept Elect & Telecommun Engn Bombay 400037 Maharashtra India

ISBN: (数字)9789811082405

ISBN: (纸本)9789811082405;9789811082399

Higher data rates at lower power levels, Internet, and wireless multimedia applications are the demands of future wireless digital communication links than most of today’s systems. Today’s available wireless network technologies due to certain limitations fail to fulfill customer requirements. This motivation directed researchers to develop more advanced and efficient technology. Orthogonal Frequency Division Multiplexing (OFDM)-based WiMAX (Worldwide Interoperability for Microwave Access) system is one of them. WiMAX is the latest last mile wireless technologies to deliver broadband access services to residential and enterprise customers in an economical way. This system is incorporated with powerful channel coding along with interleaving to achieve time diversity. This work presents design and analysis of the Bit Error Rate (BER) performance of the WiMAX baseband physical layer as per the parameters set by IEEE 802.16 standards under concatenated channel coding techniques, whereby a Reed–Solomon (RS) code is added with convolutional coding (CC). BER analysis confirmed that RS–CC channel coding gives better noise performance of the system with minimal SNR.

关键词： BER Concatenated coding convolutional coding High-speed Internet OFDM Reed–Solomon code WiMAX

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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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Extracting Features from Requirements: Achieving Accuracy and Automation with Neural Networks 25

Extracting Features from Requirements: Achieving Accuracy an...

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25th IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER)

作者： Li, Yang Schulze, Sandro Saake, Gunter Otto Von Guericke Univ Magdeburg Germany

ISBN: (纸本)9781538649695

Analyzing and extracting features and variability from different artifacts is an indispensable activity to support systematic integration of single software systems and Software Product Line (SPL). Beyond manually extracting variability, a variety of approaches, such as feature location in source code and feature extraction in requirements, has been proposed for automating the identification of features and their variation points. While requirements contain more complete variability information and provide traceability links to other artifacts, current techniques exhibit a lack of accuracy as well as a limited degree of automation. In this paper, we propose an unsupervised learning structure to overcome the abovementioned limitations. In particular, our technique consists of two steps: First, we apply Laplacian Eigenmaps, an unsupervised dimensionality reduction technique, to embed text requirements into compact binary codes. Second, requirements are transformed into a matrix representation by looking up a pre-trained word embedding. Then, the matrix is fed into CNN to learn linguistic characteristics of the requirements. Furthermore, we train CNN by matching the output of CNN with the pre-trained binary codes. Initial results show that accuracy is still limited, but that our approach allows to automate the entire process.

关键词： Feature extraction Convolution Binary codes Laplace equations convolutional codes Predictive models Semantics binary code Laplace's equation Feature extraction convolutional coding Automation Convolution Prediction models Semantics Matrix representation Neural network

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Error-correcting Performance Comparison for Polar Codes, LDPC Codes and convolutional Codes in High-performance Wireless

Error-correcting Performance Comparison for Polar Codes, LDP...

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International Conference on Informative and Cybernetics for Computational Social Systems (ICCSS)

作者： Chao Yang Ming Zhan Yi Deng Meng Wang Xiao Hong Luo Jie Zeng College of Electronic and Information Engineering Southwest University Chongqing P. R. China

ISBN: (数字)9781728158570

ISBN: (纸本)9781728158587

In this paper, polar codes, low-density parity-check (LDPC) codes and convolutional codes in the status of high-performance wireless (WirelessHP) are discussed. Those classic code schemes are compared in terms of their encoding and decoding complexity and the error-correcting performance. Results show that, polar codes with successive cancellation list (SCL) decoding is superior to the LDPC codes and the convolutional codes in the condition of WirelessHP. The result has certain significance for the development of next generation communication technology.

关键词： polar codes low-density parity-check codes convolutional codes error-correcting performance convolutional coding Polar code low density parity check codes error correction

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Distributed Estimation With convolutional coding in Wireless Sensor Networks

Distributed Estimation With Convolutional Coding in Wireless...

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International Conference on Automatic Control and Artificial Intelligence

作者： L. Wu Y. Liu Department of Computer Science Guangdong University of Education College of Automation Science and Engineering South China University of Technology

ISBN: (纸本)9781627481205

The problem of distributed estimation of an unknown noise-corrupted parameter in wireless sensor networks (WSNs) is considered in this paper. Because of the impact of noise channels, convolutional coding is used to protect the transmission of sensor observations here. To minimize the total power consumption, a novel kinds of power scheduling is derived. The formulas of the proposed power scheduling suggest local sensors with poor observation qualities should decrease their quantization levels and the levels should be also related to coding methods, channel qualities, given mean squared error (MSE) and local signal-to-noise ratio (SNR). Finally, simulation results show that not only is the scheme energy-efficient but also it achieves comparable performance of a given MSE.

关键词： Wireless sensor networks Distributed estimation convolutional coding

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Superposition Modulation with Irregular convolutional coding

Superposition Modulation with Irregular Convolutional Coding

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IEEE Global Communications Conference

作者： Meelis Noemm Alaa Mourad Peter Adam Hoeher Faculty of Engineering University of Kiel

ISBN: (纸本)9781467309202

Bijective mapping techniques with uniformly distributed constellation diagrams, like PSK and QAM, are standard in today's communications systems. Yet, it is well known that without additional effort in form of active signal shaping, bijective mapping techniques are not capacity achieving. In recent years, an alternative technique called superposition modulation (SM) has been investigated, which theoretically capacity is achieving on the Gaussian channel. However, non-bijective mapping (which can be interpreted as lossy source coding) is challenging with respect to the design of proper channel codes. In this paper, the suitability of irregular convolutional coding in conjunction with superposition modulation is investigated. With proper code design, this combination is capable of achieving 6 bits/symbol at just 0.7 dB away from the Shannon capacity limit given a memory-4 mother code.

关键词： convolutional coding lossy source coding Quadrature amplitude modulation PS-K Phase shift keying Bijective Constellation diagram MAPPING(MATHEMATICAL)

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Fast and upper bounded Fano decoding algorithm: queuing analysis

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TRANSACTIONS ON EMERGING TELECOMMUNICATIONS TECHNOLOGIES 2017年第1期28卷 1-12页

作者： Darabkh, Khalid A. Univ Jordan Dept Comp Engn Amman 11942 Jordan

In computer networking, having limited buffer size is one of the vital causes of splitting the messages into smaller frames to be then transmitted over the network. Increasing the buffer size will not improve the case much but rather it is likely to degrade the performance of the system if it is not investigated properly. On the other hand, frames' retransmissions, as a result of frames being corrupted or dropped, need to be avoided as much as possible because of possible network congestion. To investigate the problem of undesired retransmissions, this paper addresses the use of convolutional codes utilising variable complexity decoding algorithms, such as the Fano algorithm, which mainly aim to mitigate frames' retransmissions caused by frames' corruption. It is noteworthy to mention that the rapid growth of wireless technologies has attracted everybody's attention. As wireless technology evolves, new decoding algorithms are emerging to demonstrate designs with variable power consumptions. Hence, in this paper, we propose a novel queuing model that describes not only frame arriving and departing processes after getting decoded according to how worse the channel condition is or what is the remaining system power but also a decoder with a double speed compared with what is best scrutinised in the literature. Moreover, in our buffering model, we can reduce the number of frames being dropped because of insufficient buffer size, and unwanted retransmissions owing to long frame waiting time, by virtue of bestowing larger buffer size, through our derived closed-form expression that represents the expected number of awaiting frames in the buffers of Fano decoders parameterised by channel status, decoding threshold and frame arriving probability. As far as the system occupancy is concerned and over what have been previously proposed, our analytical results show impressive improvements. As such, through our proposed queuing model, the required decoder's buffer is substantial

关键词： buffers channel status Queuing models queueing theory decoders Network Congestion Wireless Technology convolutional coding Fasting RETRANSMISSION

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Communication Systems Principles Using MATLAB 1

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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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