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convolutional Sparse and Low-Rank coding-Based Image Decomposition

IEEE TRANSACTIONS ON IMAGE PROCESSING 2018年第5期27卷 2121-2133页

作者： Zhang, He Patel, Vishal M. Rutgers Univ New Brunswick Dept Elect & Comp Engn New Brunswick NJ 08901 USA

We propose novel convolutional sparse and low-rank coding-based methods for cartoon and texture decomposition. In our method, we first learn a set of generic filters that can efficiently represent cartoon-and texture-type images. Then, using these learned filters, we propose two optimization frameworks to decompose a given image into cartoon and texture components: convolutional sparse coding-based image decomposition;and convolutional low-rank coding-based image decomposition. By working directly on the whole image, the proposed image separation algorithms do not need to divide the image into overlapping patches for leaning local dictionaries. The shift-invariance property is directly modeled into the objective function for learning filters. Extensive experiments show that the proposed methods perform favorably compared with state-of-theart image separation methods.

关键词： Image decomposition convolutional coding low-rank coding sparse coding

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MAXIMUM LIKELIHOOD DE coding OF convolutional CODES USING VITERBI ALGORITHM WITH IMPROVED ERROR CORRECTION CAPABILITY

MAXIMUM LIKELIHOOD DE CODING OF CONVOLUTIONAL CODES USING VI...

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IEEE Conference on Information and Communication Technologies (ICT)

作者： Abubeker, K. M. Bushara, A. R. Backer, Sabana Amal Jyothi Coll Engg Dept ECE Kottayam Kerala India KMEA Coll Engn Cochin Kerala India

ISBN: (纸本)9781467357586;9781467357593

convolutional codes are applied in applications that require good performance with low implementation cost. It is a finite state machine, processing information bits in a series mariner. Viterbi algorithm [1] can be applied to a host of problems encountered in digital communication systems. The Viterbi algorithm cannot detect any error but can sometimes correct it, while calculating one survivor path with minimum metric value. The maximum likelihood decoding of convolutional encoder with Viterbi algorithm is a good forward error correction [3] method suitable for single and double bit error correction by means of finding the code branch in the code trellis that was most likely to transmit. The modified decoding process proposed in this paper, we shall use a different approach to derive the exact bit, double bit, burst error and a symbol error correction process. It will detect and correct the errors by means of connecting and comparing the metric values at the present, previous and next states of the Viterbi decoding. also it is offering 30-36% better than the Viterbi and 99.9% of error correction, but the computational complexity is decreases and time are increases about 20-40%

关键词： convolutional coding Constraint length Path metric value Additive white Gaussian noise (AWGN) Tree diagram Trellis diagram Hamming distance Survivor path Code rate EEC finite state machine

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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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New mobile communication system design for Rayleigh environments based on compressed sensing-source coding

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IET COMMUNICATIONS 2019年第15期13卷 2375-2385页

作者： Haneche, Houria Ouahabi, Abdeldjalil Boudraa, Bachir USTHB LCPTS BP 32 El Alia Algiers 16111 Algeria Polytech Tours INSERM U930 Imaging & Brain 7 Ave Marcel Dassault F-37200 Tours France Bouira Univ Comp Sci Dept LIMPAF Bouira Algeria

A new end-to-end communication system is proposed to increase transmission speed, robustness, and security in order to meet the requirements of mobile systems that know an exponentially increasing data amount over time. The design relies on the use of compressed sensing-source coding instead of the supported speech coding standards in actual mobile communication systems. The proposed compressed sensing-source coding method allows reducing the speech coding complexity by using simple quantisation and binary encoding, saving communication system resources, and encrypting communications without additional costs. The performance of the resulting communication system is evaluated for speech communication via 10 dB Rayleigh environment in terms of perceptual evaluation of speech quality (PESQ) scores and coherence speech intelligibility index (CSII) when convolutional coding, orthogonal frequency division multiplexing, and diversity schemes are used. Results report that for a bit rate of 12.8 kbit/s the proposed scheme achieves fair speech intelligibility justified by a CSII value of 0.5, and offers good output speech quality measure, providing a PESQ of 3.33 for the same bit rate.

关键词： noise figure 10.0 dB source coding speech intelligibility compressed sensing-source coding method good output speech quality measure bit rate 12.8 kbit/s convolutional codes speech quality scores speech coding exponentially increasing data amount supported speech 10 dB Rayleigh environment speech coding complexity mobile systems communication system resources fair speech intelligibility Rayleigh channels end-to-end communication system encrypting communications actual mobile communication systems new mobile communication system design Rayleigh environments speech intelligibility index convolutional coding OFDM modulation speech communication resulting communication system speech enhancement

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Index assignment-based channel coding

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IET COMMUNICATIONS 2012年第2期6卷 172-178页

作者： Oztoprak, H. Villette, S. Kondoz, A. Univ Surrey Ctr Vis Speech & Signal Proc Guildford GU2 7XH Surrey England

A scheme named index assignment-based channel coding (IACC) has been developed for resilience of speech/audio codecs against the bit errors commonly experienced in wireless channels. Although IACC is a type of joint source channel coding, it does not intervene with the source codec design. The proposed scheme takes into account source characteristics and adjusts the amount of coding according to the sensitivity of different values of the source parameters. It is shown that source characteristics play an important role in the performance of IACC. The performance of IACC has been evaluated by applying it to parameters generated by adaptive multi-rate wideband (AMR-WB+) audio codec. A method for perceptual training of IACC codes is also proposed. The results demonstrate that the performance of IACC and IACC concatenated with convolutional coding can be superior to that of conventional convolutional coding at high and moderate bit error rates, respectively.

关键词： combined source-channel coding convolutional codes error statistics source codec design wireless channels concatenated coding adaptive multirate wideband audio codec index assignment-based channel coding speech coding bit error rates Speech and audio coding audio coding adaptive codes concatenated codes speech codecs joint source channel coding Speech processing techniques BER Radio links and equipment convolutional coding Other topics in statistics

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Performance Evaluation of Serial and Parallel Concatenated Channel coding Scheme With Non-Orthogonal Multiple Access for 6G Networks

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IEEE ACCESS 2022年 10卷 39681-39690页

作者： Ahmed, Aya Kh Al-Raweshidy, Hamed S. Brunel Univ London Coll Engn Design & Phys Sci CEDPS Dept Elect & Elect Engn EEE Uxbridge UB8 3PH Middx England

In recent years, with the advent of 6G and intelligent devices, sensors, and new applications such as virtual reality and autonomous driving, user data traffic has exploded, especially video traffic and small IoT packets. These bandwidth-hungry applications require an increased network capacity and user access. The 6G network may use nonorthogonal multiple access (NOMA) instead of orthogonal multiple access (OMA) to maintain higher data rates, throughput, and lower latency. On the other hand, choosing the channel coding method for future 6G mobile communication is critical for maintaining the high demand for 6G. This paper proposes two-channel coding structures to achieve higher data rates with a lower error rate floor;these structures are polar convolutional serial code (PCSC) and polar convolutional parallel code (PCPC);these structures can achieve a larger channel capacity and reduced bit error rates when used with NOMA. The obtained simulation results showed that bit error rate (BER) performance improves the overall coding gain by 1.2 dB compared to polar code in fifth-generation (5G). PCSC surpasses PCPC with a 1.5dB coding gain. This performance ranged from 4 to 6.25dB with higher system settings. The obtained throughput results showed an improvement of 56-60%, in which the enhancement percentage depended on the modulation method used in a direct proportion manner.

关键词： Codes NOMA Channel coding 6G mobile communication Polar codes convolutional codes Decoding Concatenated coding convolutional coding non-orthogonal multiple access (NOMA) polar coding terahertz (THz) 6G

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Joint coding and decision feedback equalization for broadband wireless channels

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IEEE JOURNAL ON SELECTED AREAS IN COMMUNICATIONS 1998年第9期16卷 1670-1678页

作者： Ariyavisitakul, SL Li, Y Home Wireless Networks Norcross GA 30071 USA AT&T Bell Labs Red Bank NJ 07701 USA

This paper introduces a new approach for joint convolutional coding and decision feedback equalization (DFE). To minimize error propagation, the DFE uses a combination of soft decisions and delayed tentative decisions to cancel intersymbol interference (ISI). Soft decisions are obtained by passing the DFE output through a (soft) nonlinear device. This simple method is shown to perform almost as well as an optimum soft feedback approach on wireless channels with diversity. Tentative decisions from the Viterbi decoder are used to cancel ISI due to multipath with large delays, remedying the increasing effect of error propagation in channels with large delay spreads. We consider the use of this soft/delayed feedback DFE (S/D-DFE) technique in broadband wireless channels (with delay spreads up to several tens of the symbol period) typical in high-bit-rate mobile data applications. Simulation results indicate that the proposed joint coding and S/D-DFE technique performs to within 1-2 dB [in required signal-to-noise ratio (SNR)] of an ideal coded DFE without error propagation. When combined with antenna diversity and a reduced-complexity DFE concept with adaptive feedforward tap assignment, it provides high packet throughput against Rayleigh fading, severe delay spreads, and high Doppler rates.

关键词： convolutional coding equalization wireless communications

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Performance analysis of coding using Distributed Turbo Codes 3

Performance analysis of coding using Distributed Turbo Codes

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3rd International Workshop on RFID and Adaptive Wireless Sensor Networks (RAWSN)

作者： Aboudeine, Anas Ayoub, Fouad Yatribi, Anouar Benattou, Mohammed Ibn Tofal Univ LRIT Lab Fac Sci Kenitra Morocco CRMEF Kenitra Morocco Mohammed V Univ SIME Lab TSE Team ENSIAS Rabat Morocco

ISBN: (纸本)9781467380966

Nowadays the need for fast and reliable communication is increasing, which leads us to look for new ways to enhance channel coding. In this paper, we will study the case of a distributed coding between two users that aim to transmit data to a common destination, where each user transmits a partial redundancy to the destination, and relies on the second user for the remaining. The purpose of distributing the redundancy creation and transmission, is to benefit from each user channel quality for a more accurate decoding. In the context of our analysis, we will use a 1/2 rate convolutional code with between users and a distributed Turbo code for transmission to the destination. However, this study will aim to highlight the different key factors, as well as the advantage of choosing a distributed encoding.

关键词： turbo codes distributed coding destination Consumers Distribute Channel coding key factors redundancy coding 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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Crypto-coding Technique for Land Mobile Satellite Channel

Crypto-Coding Technique for Land Mobile Satellite Channel

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5th International Conference on Signal and Image Processing (ICSIP)

作者： Khanai, Rajashri Kulkarni, G. H. Torse, Dattaprasad A. Gogte Inst Technol Dept Elect & Elect Engn Belgaum Karnataka India Jain Coll Engn Dept Elect & Elect Engn Belgaum Karnataka India Visvesvaraya Technol Univ Belgaum Karnataka India

ISBN: (纸本)9780769551005

In this paper, we have introduced an improved combined cryptography-error correction method, which is called "Crypto-coding". Although in previous experiments, combined error correction and encryption functionality has been studied into one single step, the modification needed in the introduction of encryption block improves the performance of the system. The combined System's performances are evaluated on Land Mobile Satellite (LMS) Channel. The results are compared with the system using ideal encryption and decryption.

关键词： Crypto-coding convolutional coding Simplified Data Encryption Standard Land Mobile Satellite (LMS) Channel

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