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In this paper we are interested to the decoding of blocks turbo codes constructed from Reed Solomon (RS) codes. We have modified the iterative algorithm proposed by Chase in order to exploit the a priori information provided by a correlated source. Indeed, some sources such as images have a strong correlation. A simple iterative decoding algorithm does not take this feature into account. The choice...
On the basis of general pivot method for paraphrase extraction which might introduce much noise in extracted paraphrases, this paper proposes a syntactic knowledge-enhanced method to extract higher-quality paraphrases to further improve the quality of statistical machine translation. Firstly, the syntactic knowledge is acquired and added to paraphrase extraction algorithm as constraints to obtain...
Translation of natural language text using statistical machine translation (SMT) is a supervised machine learning problem. SMT algorithms are trained to learn how to translate by providing many translations produced by human language experts. The field SMT has gained momentum in recent three decades. New techniques are constantly introduced by the researchers. This is survey paper presenting an introduction...
Current multi-user detection scheme for sparse code multiple access (SCMA) is iterative message passing algorithm (MPA) in which the message update strategy is in a parallel manner. To take full advantage of MPA's feature of parallelism, this letter proposes a hardware implementation strategy of max-log MPA decoder used in SCMA systems with soft baseband, which is based on general-purpose computing...
A new time switching protocol referred to as TS- APS is proposed for the energy harvesting (EH) relay networks based on the combination of conventional time switching (TS) protocol and adaptive power splitting (APS). In the framework of the decode and forward (DF) relaying with multiple relays, we derive the closed-form expression for the outage probability of the proposed scheme and discuss its effective...
Several types of insertion/deletion/substitution error correction codings have been proposed for channels with imperfect synchronization. Most of the conventional coding schemes assume insertion/deletion errors of bit granularity, while in some applications, e.g. bit patterned media recording, insertion/deletion errors occur as a result of accumulation of small synchronization errors. This paper considers...
In this paper, throughput of hybrid automatic repeat request (HARQ) schemes with finite blocklength codes is studied for both constant-rate and ON-OFF discrete-time Markov arrivals under statistical queuing constraints and deadline limits. After analyzing the decoding error probability and outage probability, the distribution of transmission period is characterized, and the throughput expressions...
Automatic translation of natural languages has been an active body of research in the last decades, especially when it comes to statistical translation which uses machine learning algorithms for translation tasks. Machine translation being a key application in the field of natural language processing, it leads to develop many approaches namely, statistical machine translation and recently neural machine...
We analyze secrecy of a dual-hop cooperative system consisting of multiple decode-and-forward relays in delay-constrained environment using rateless code, where there exists a separate time limit for both the hops. During the first hop, source carries out rateless coded transmission in the allotted time. Relay nodes which have successfully acquired target entropy forwards the information to the destination...
Since the introduction of turbo codes in 1993, researchers have turned their attention to the design, performance evaluation and practical application of these codes. The practical implementation of turbo decoding algorithms faces two major challenges: (1) heavy computations for the α and the β values, and (2) huge memory requirement. Using powerful fast processors, which are in hand nowadays, one...
We derive the outage probability of a multi-source multi-relay transmission system, where all the links experience κ-μ fading variations. The source-relay links are assumed to be non-orthogonal multiple access channels (MACs). Two transmission schemes are considered for relay-destination transmission, i.e., non-orthogonal maximum ratio transmission (MRT) and orthogonal transmission with joint-decoding...
Providing a high level of information reliability is one of the most important problems of digital data transmission systems synthesis for various applications. The paper suggests the theoretical foundations of communication channel model based on a code signal feature (CSF). The encoding and decoding algorithms using CSF models are proposed that allows one to increase the information reliability...
This paper presents a Finite State Machine (FSM) to reduce user's waiting time to get the recognition result after finishing writing in recognition of online handwritten English text. The lexicon is modeled by a FSM, and then determination and minimization are applied to reduce the number of states. The reduction of states in the FSM shortens the waiting time without degrading the recognition accuracy...
Sparse code multiple access (SCMA) is a new kind of multiple access (MA) technology which ranks one of the most promising candidates for 5G wireless because of its outstanding performance. SCMA enjoys stronger overloading tolerance compared with traditional MA technologies. It also takes the advantage of sparse property to achieve lower complexity when using message passing algorithm (MPA). In this...
Sparse code multiple access (SCMA) is a new kind of multiple access (MA) technology which ranks one of the most promising candidates for 5G wireless because of its outstanding performance. SCMA enjoys stronger overloading tolerance compared with traditional MA technologies. It also takes the advantage of sparse property to achieve lower complexity when using message passing algorithm (MPA). In this...
In joint source-channel arithmetic coding, a forbidden symbol (FS) is added to the symbol set to make it more robust against transmission errors. By splitting the interval occupied by the FS into subintervals, various configurations are possible. In this paper, the delay probability function (DPF), the probability of the number of bits required to detect an error, is calculated for various FS configurations...
In this paper, the energy efficiency (EE) of a cooperative diversity system with maximum diversity network coding (MDNC) is studied. In the considered system, channel state information (CSI) is only available at the receivers for all the channels. We formulate the problem of maximizing the EE under the constraint on the outage probability. The problem is NP-hard due to the non-convexity of the outage...
Statistical Machine Translation (SMT) is a part ofNatural Language Processing. This translates one language toanother language. SMT consists of Language Model (LM), Translation Model (TM) and decoder. The decoder will makeuse of LM and TM to generate the translation. In this, probability of target language sentences is computed by LM, the given source sentence probability of the target sentence iscomputed...
The analog implementation of error control decoders is a competitive methodology compared with the digital implementation in power efficiency and throughput. In order to detect uncorrectable frames and early stop the iterative decoding of low-density parity check (LDPC) analog decoders, a probability stopping block using probabilities of satisfied checks is proposed. Simulation results show that the...
This work presents an automatic speech recognition (ASR) system for connected words. A connected ASR system has been implemented by extending an isolated word recognizer for speaker dependent data. The work has been applied for English as well as Hindi language. The traditional approach of Mel frequency cepsral coefficient (MFCC) is used as features of the speech signal. Hidden markov model (HMM)...
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