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Text messages are generally encoded by performing table look-up on fixed length code tables. In this paper, a lossless text compression algorithm which works on the principle of entropy reduction is proposed. Characters in a text message in any language are generally encoded using a binary string with a Unique Lexicographical Rank (ULR). A corresponding Maximum Rank(MR) for any binary string can be...
Spatially-sparse predictors are good models for brain decoding: they give accurate predictions and their weight maps are interpretable as they focus on a small number of regions. However, the state of the art, based on total variation or graph-net, is computationally costly. Here we introduce sparsity in the local neighborhood of each voxel with social-sparsity, a structured shrinkage operator. We...
This paper presents a link quality model for a wireless communication system with distributed turbo coding and lossy forwarding. The model maps the signal-to-interference-plus-noise ratio (SINR) of packet copies received from different links to a mutual information parameter and, in a second stage, converts it to a block error rate. We present the design and foundation of the model and validate its...
1 In this paper we review the previously proposed methods for successive compute-and-forward and discuss about their incompleteness through some examples. Then we present a comprehensive formulation for multi-step successive interference cancellation problem through the asymmetric successive compute-and-forward strategy. It is shown that the generalized formulation includes the previous approaches.
Memristor-based neuromorphic computing system provides a promising solution to significantly boost the power efficiency of computing system. Memristor-based neuromorphic computing system has a wide range of design choices, such as the various memristor crossbar cell designs and different parallelism degrees of peripheral circuits. However, a memristor-based neuromorphic computing system simulator,...
To address the high level of dynamism and variability in modern streaming applications (e.g. video decoding) as well as the difficulties in programming heterogeneous MPSoCs, we propose a novel execution model based upon both dataflow and Kahn process networks. This paper presents the semantics and properties of this hierarchical and parametric model, called DKPN. Parameters are classified and it is...
To address the high level of dynamism and variability in modern streaming applications (e.g. video decoding) as well as the difficulties in programming heterogeneous MPSoCs, we propose a novel execution model based upon both dataflow and Kahn process networks. This paper presents the semantics and properties of this hierarchical and parametric model, called DKPN. Parameters are classified and it is...
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...
This paper addresses the problem of the Monte Carlo method complexity reduction regarding bit error probability (BEP) estimation. A kernel-based BEP estimator is designed for coded M-ary quadrature amplitude modulation (QAM) transmissions schemes. The design of the kernel estimator is made in a context where the soft observations are spread along a bounded support. An Epanechnikov kernel function...
NoC-based architectures overcome the limitations of traditional buses by exploiting parallelism and offer large band-widths. NoC adoption also increases communication latency, which is especially penalising for data-flow applications (DF). We introduce the notifying memories (NM) concept to reduce this overhead. Our original approach eliminates useless memory requests. This paper demonstrates NM in...
With the growing demand for easy and reliable generation of 3D models representing real-world objects and environments in mobile cloud computing platforms, new schemes for acquisition, storage and transmission of 3D meshes are required. In general, 3D meshes consist of two distinct components: vertex positions and vertex connectivity. Vertex position encoders are much more resource demanding than...
In this paper, we study the physical layer abstracting model for MIMO OFDM systems with iterative MMSE receiver. Unlike the abstracting model studied in the literature, we propose to use median variance transfer function to describe the decoder behaviour, where we introduced a new method to compute the symbol variance. The proposed physical layer abstraction model, requires only 2 variance transfer...
Prior research shows that directly applying phrase-based SMT on lexical tokens to migrate Java to C# produces much semantically incorrect code. A key limitation is the use of sequences in phrase-based SMT to model and translate source code with well-formed structures. We propose mppSMT, a divide-and-conquer technique to address that with novel training and migration algorithms using phrase-based SMT...
Continuous phase modulation (CPM) is a family of bandwidth-efficient signaling schemes with memory. In this paper we introduce a simulation-based method to compute a lower bound, namely the dependence testing (DT) bound, on the maximum achievable rate of general CPM schemes under finite blocklength, probability of error, and equiprobable input distribution constraints. The proposed method utilizes...
The analog implementation of error control decoders is a power efficiency and speed competitive methodology comparing with the digital implementation. In this paper, we propose a mixed behavioral/structural model for the analog implementation of low-density parity-check (LDPC) decoders based on the sum-product algorithm, while taking transistor mismatch effects and circuit dynamic behavior into account...
Since machine translation systems are still unable to produce satisfactory outputs, recently various interactive machine translation (IMT) approaches are proposed. State-of-the-art IMT systems use the human validated prefix as the only constraint that guides decoding, in which the human guidance is quite insufficient. This paper extends the human-computer interactions by allowing translators to provide...
The use of Multiprocessor Systems on Chip (MPSoCs) is a common practice in the design of state-of-the-art embedded devices, as MPSoCs provide a good trade-off between performance, energy and cost. However, programming MPSoCs is a challenging task, which currently involves multiple manual steps. Although, several research efforts have addressed this challenge, there is not yet a widely accepted solution...
Modern-day streaming digital signal processing (DSP) applications are often accompanied by real-time requirements. In addition, they expose increasing levels of dynamic behavior. Dynamic dataflow models of computation (MoCs) have been introduced to model and analyze such applications. Parametrized dataflow MoCs are an important subclass of dynamic dataflow MoCs because they integrate dynamic parameters...
The ARM simulator not only eliminates the barriers of embedded systems' hardware environment, but also improves the efficiency, security and reliability for the development process. To improve the performance of an ARM-based function simulation, a novel simulation framework to the ARM processor is proposed, which is based on the ARM instructions' eigenvalue. Therein, functions of registers, the instruction...
Dynamic dataflow models of computation (MoCs) have been introduced to provide designers with enough expressive power to capture increasing levels of dynamism in modern streaming applications. Among dynamic dataflow MoCs, parametrized dataflow MoCs hold an important place as they integrate dynamic parameters and run-time adaptation of parameters in a structured way. In this work, we analyze the temporal...
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