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In this paper, we introduce the concept of generalized instantly decodable network coding (G-IDNC) to further minimize decoding delay in wireless broadcast, compared to strict instantly decodable network coding (S-IDNC), studied in. G-IDNC loosens the strict instant decodability constraint in order to target more receivers while preserving the attractive properties of S-IDNC. We show that the minimum...
Rateless coding ensures reliability for time-varying channels by providing ever-increasing redundancy at the packet level. However, the optimal packet length for rateless codes has not been carefully studied from the application layer and the physical layer. In this paper, we present a practical wireless communication system consisting of an LT coding module, a channel coding module, and error detection...
In order to get the best mode, H.264 computes the cost of every mode for each block by RDO (rate distortion optimization) technique, but it increases a high computational complexity .This paper combines Pan's fast algorithm and an efficient fast mode decision for intra prediction is proposed. First, the intra prediction's types are decided by whether a block is smooth. Second, the Pan's fast algorithm...
Surface acoustic wave (SAW) radio frequency identification (RFID) has its advantages over IC based RFID, but it has difficulties to possess the code capacity large enough for most practical applications. In this paper, a novel and effective encoding method is presented, which enables one to fabricate a tag with code capacity 3.5×107 within a chip length of 8 mm, and a corresponding optimal way to...
The master production schedule (MPS) problem is a typical NP-hard problem. In this work, A MPS optimization model whose objectives are maximum utilization of equipment and minimum ratio between storage expenses and overdue fines is established with equipment capacity and product lead time as constraints. Then this model is implemented using a product encoding method and newly designed ant path searching...
Multi-view video plus depth (MVD) data is a set of multiple sequences capturing the same scene at different viewpoints, with their associated per-pixel depth value. Overcoming this large amount of data requires an effective coding framework. Yet, a simple but essential question refers to the means assessing the proposed coding methods. While the challenge in compression is the optimization of the...
The distributed optimal path planning (D-OPP) problem has been a bottleneck restricting the performance of Peer-to-Peer (P2P) workflow systems which have met the development trend of workflow systems and been one of the most important domains of Distributed computing. The essence of this problem is to solve the dynamical global optimization in local views without centralized mechanism. Aiming at this...
In this paper, we consider the problem of minimizing the resources used for network coding (MRUNC) while achieving the desired throughput in a multicast system. The problem of minimizing the number of network coding links is NP-hard. In this paper we propose a low-complexity Estimation of Distribution Algorithm (EDA) for MRUNC. Our EDA is applicable to the network with and without cycles. The numerical...
This paper presents an optimizing methodology for implementing a multi-layer perceptron (MLP) neural network in a Field Programmable Gate Array (FPGA) device. In order to obtain an efficient implementation, a compromise of time and area is needed. Starting from simulation in the learning phase with fixed point operators, we have developed a methodology which allows the automatic generation of a VHDL...
Abstract--This article is based on H.264/AVC video coding standard, including analysis of the current UMHexagonS algorithm processes and problems, Optimization of the entire pixel search algorithm UMHexagonS and an improved sub-pixel search algorithm, and gives the improved UMHexagonS algorithm process ,describes its advantages. Experimental results show the improved efficiency of the algorithm, practical...
Due to the coupling and nonlinear relationship between processing variables, it is difficult to achieve the comprehensive optimization of injection part quality effectively only by conventional methods. To solve the problem above, firstly some quality indices were extracted according to the quality requirements of the product and a fuzzy comprehensive evaluation formula including the pertinent indices...
The strands of chromosomes are supposed to be split into genic and intergenic regions. Gene identification is an optimization problem in Eukaryotic DNA splicing. An optimal solution is essential which may help in better protein translation. We have proposed a novel approach for gene identification by employing discrete wavelet transforms for noise reduction in DNA sequences and introducing a new indicator...
Disparity estimation is an essential step in stereoscopic video coding. Existing disparity estimation methods are based on single disparity model and lack the robustness for estimating the real-time view disparities. To overcome this problem, this paper proposes an adaptive disparity estimation scheme which employs adaptive selection of disparity models based on the rate distortion optimization function...
Real-time videoconferencing using cellular devices provides natural communication to the Deaf community. For this application, compressed American Sign Language (ASL) video must be evaluated in terms of the intelligibility of the conversation and not in terms of the overall aesthetic quality of the video. This work conducts an experiment to determine the subjective preferences of ASL users in terms...
Video transmission over Internet is often afflicted by various packet losses. The packet-lever forward error correction (FEC) is often used for error recovery in order to enhance the end-to-end video quality. However, the quality metrics used in traditional FEC scheme designing such as peak signal-to-noise ratio (PSNR) have been founded not correlate well with human perceptual quality and usually...
An image compressing technique for High Dynamic Range (HDR) image sensors is introduced. Compression is performed in two steps: Pixel value coding optimization followed by DCT-based (Discrete Cosine Transform) compression. A floating point coding technique is first used with a common exponent shared between pixels of the same block, and then a DCT is applied to each group of pixels. This new concept,...
The paper optimizes AVS key coding algorithm, and designs high coding efficiency and high coding quality AVS encoder XAVS based on x86 platform. It supports IPPP, IBBP structure, films on a variety of formats of media sources to AVS compression, rate control, rate distortion optimization, and packaged into the standard TS stream. The experiment results show that subjective quality of XAVS is better...
Psychoacoustic models are the key element of MUSIC-AM audio encoding, and its DSP implementation involves a lot of computations. So whether the real-time audio encoding can be implemented using DSP mainly depends on the execution time of psychoacoustic models algorithm to a large degree. In this paper, we give a brief introduction of psychoacoustic models at the first, and then discuss its implementation...
This paper firstly defined what tacit knowledge is and analyzes its network characters in an organization. Then, taking a small high-tech enterprise as a case, we constructed its tacit knowledge transfer network with methods of SNA by using software Ucinet6.237 and Pajek2.0, and make quantitative research of the whole network, individual networks and clique analysis. Finally we put forward some optimization...
Before performing the DNA computation, a set of specific DNA sequences are required. However, this is a burdensome task as too many constraints need to be satisfied. In this paper, ant colony algorithm is applied to solve the problem of DNA codewords design. Inspired by the traveling salesman problem, first a city matrix with T rows and S columns is designed, in which every city denotes a DNA sequence...
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