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The variety of encoding schemes in the modern logistics industry slows down the pace of supply chain. EPC which provides a better solution to supply chain adopts a set of identifiers to stand for manufacturers and their products. This article has analyzed many kinds of coding schemes in details and carried out transformation between other encoding schemes and EPC. A code transformation system based...
Wireless sensor networks (WSN) typically consist of compact, low energy devices capable of sustaining a variety of ad-hoc topologies and operate for many years from a single, non-renewable, finite energy source such as a battery. This limitation in energy has led to much research in the field of energy conservation both through hardware and software techniques. The transmission of data incurs the...
In this paper, we propose a new Non-symmetry and Anti-packing Model (NAM) representation method for gray image. By describing the NAM and Gray-Coded Bit-Plane Decomposition (GC-BPD), a novel NAM-based representation algorithm for gray image is presented. The theoretical analyses and experimental results show that the NAM-based representation method can reduce the data storage much more effectively...
Classification of Boolean functions is a known problem in digital logic. There are far too many possible Boolean functions to examine each one, and so we attempt to classify similar functions together into groups, or classes. This paper continues work that uses the autocorrelation transform to determine a classification technique. Some new considerations are raised and additional analysis of the autocorrelation...
Video coding standard H.264/AVC employs zig-zag scan and field scan to map transform coefficients from two dimensional matrix to one dimensional array. The zig-zag scan is used for transform coefficients in frame macroblocks (MBs), and the field scan is used in field MBs. This paper presents a most probable scan mode (MPSM) decision for H.264 inter picture coding. Besides the two scans, a horizontal...
This paper presents a study of transforms method used in lossless text compression in order to preprocess the text by exploiting the inner redundancy of the source file. The transform methods are derived from the star (*) transform. LIPT, ILPT, NIT, and LIT applied to text files emphasize their positive effects on a set of test files picked up from the classical corpora of both English and Romanian...
In this paper, we adopt constrained relaxation for distributed multi-view video coding (DMVC). The novel framework integrates the graph-based segmentation and matching to generate inter-view correlated side information without knowing the camera parameters. Moreover, graph-based representations of multi-view images are incorporated to form more distinctive feature constraints. The sparse data as a...
We study the vector Gaussian versions of two problems: hypothesis testing under a communication constraint and the lossy one-helper problem. In the hypothesis testing problem, a test against independence is considered when a vector Gaussian source is available at the detector which receives a message about another vector Gaussian source at a specified rate. Two equivalent characterizations of the...
In this paper we introduce a biorthogonal frequency-varying modulated lapped transform (BFV-MLT) with flexible tiling behavior of time-frequency plane and attenuation of ringing artifacts. Biorthogonality allows accessorial freedom in designing the analysis and synthesis filter-banks and FVMLT provides nonuniform decomposition of signals with ideal time or frequency resolutions. By constructing a...
In this paper, we introduce new codeword sets based on order complexity (OC) which measures uncertainty of the order having each permutation string. The proposed codeword sets are generated by two procedures: Indexing and B-transform. Indexing is that a smaller positive integer is mapped to a permutation string whose OC is lower. B-transform plays role of generating a binary string from the permutation...
In this paper a new efficient fractal based compression algorithm is proposed for electrocardiogram signals. The self-similarities in the ECG signals make them suitable to be compressed efficiently using fractal based methods. In the proposed method, as in the basic fractal based compression method, each part of the signal is mapped to another part with a reasonable error. The transformed maps are...
Modern seismic exploration produces vast amount of data that may be transferred between computers as well as to and from storage devices. Compression algorithms are then desirable to make seismic data processing more efficient in terms of storage and transmission bandwidth. Most current algorithms being used for floating-point seismic data compression are based on wavelet or LCT (local cosine transform)...
Iris recognition, a relatively new biometric technology, has great advantages, such as variability, stability and security, thus is the most promising for high security environment. Iris recognition is proposed in this report. We describe some methods, the first one is based on grey level histogram to extract the pupil, the second is based on elliptic and parabolic HOUGH transformation to determinate...
A new quality controlled Maxlift and Medlift transforms based compression methods for electrocardiogram (ECG) signal are presented. The ECG signal is transformed using Maxlift and Medlift. The transformed coefficients are thresholded using the bisection algorithm in order to match the predefined user specified percentage root mean square difference (PRD) within the tolerance. Then, the binary lookup...
The RKLT is a lossless approximation to the KLT, and has been recently employed for progressive lossy-to-lossless coding of hyperspectral images. Both yield very good coding performance results, but at a high computational price. In this paper we investigate two RKLT clustering approaches to lessen the computational complexity problem: a normal clustering approach, which still yields good performance;...
It is well known in transform coding that the Karhunen-Loeve transform (KLT) can be suboptimal for non Gaussian sources. However in many applications using JPEG2000 Part 2 codecs, the KLT is generally considered as the optimal linear transform for reducing redundancies between components of hyperspectral images. In previous works, optimal spectral transforms (OST) compatible with the JPEG2000 Part...
This paper is concerned with optimal transform coding in conjunction with dithered quantization. While the optimal deterministic quantizer's error is uncorrelated with the reconstructed value, the dithered quantizer yields quantization errors that are correlated with the reconstruction but are white and independent of the source. These properties offer potential benefits, but also have implications...
In most Wyner-Ziv video coding approaches, the temporal correlation of key frames is not exploited since they are simply intra encoded and decoded. In this paper, using the previously decoded key frame as the side information for the key frame to be decoded, we propose new methods of coding key frames in order to improve the rate distortion performance. These schemes which are based on switching between...
In this paper, we investigate a rather neglected aspect of subsystem codes viz. that of encoding. We show that encoding of subsystem codes can be reduced to encoding of a related stabilizer code making it possible to use the known results on encoding of stabilizer codes. Along the way we also show how Clifford codes can be encoded. These encoding schemes can tolerate initialization errors on the gauge...
A pipeline design method for transformation between floating point numbers based on IEEE754 standard and 32-bit integer numbers was proposed. There are two kinds of pipelines. One is for double-precision or single-precision floating point numbers transform into integer numbers and other is for integer numbers transform into double precision or single-precision floating point numbers. In this method...
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