This paper is associated with the choice of wavelet bases in electrocardiogram compression. The integer-to-integer wavelet transform in the algorithm, the zero-tree coding and the adaptive arithmetic coding in electro...
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ISBN:
(纸本)9781612847719
This paper is associated with the choice of wavelet bases in electrocardiogram compression. The integer-to-integer wavelet transform in the algorithm, the zero-tree coding and the adaptive arithmetic coding in electrocardiogram is used. The wavelet library is composed of nine wavelets. The MIT-BIH arrhythmia database is used to test the algorithm. The experiment results show that it can significantly reduce the signal distortion by selecting optimal wavelet bases for each segment electrocardiogram in compression algorithm.
In this paper an approach to modelling nonstationary binary sequences, i.e., predicting the probability of upcoming symbols, is presented. After studying the prediction model we evaluate its performance in two non-art...
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In this paper an approach to modelling nonstationary binary sequences, i.e., predicting the probability of upcoming symbols, is presented. After studying the prediction model we evaluate its performance in two non-artificial test cases. First the model is compared to the Laplace and Krichevsky-Trofimov estimators. Secondly a statistical ensemble model for compressing Burrows-Wheeler-Transform output is worked out and evaluated. A systematic approach to the parameter optimization of an individual model and the ensemble model is stated.
Although IBDI, a coding tool that increases internal bit depth to improve compression performance for high quality video, is able to significantly improve the coding efficiency, the internal memory increment problem o...
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Although IBDI, a coding tool that increases internal bit depth to improve compression performance for high quality video, is able to significantly improve the coding efficiency, the internal memory increment problem occurs because of the necessity of storing reference frames. Therefore, memory compression algorithm is proposed to solve the internal memory increment problem while maintaining the coding performance of IBDI. The memory compression methods have successively reduced the reference frame memory while preserving the coding efficiency by dividing a reference frame into the fixed size processing units and using additional information of each unit. However, additional information of each processing unit also has to be stored in internal frame memory; the amount of additional information could be a limitation of the effectiveness of memory compression scheme. Therefore, to relax this limitation of previous method, we propose a selective merging-based reference frame memory compression algorithm, dramatically reducing the amount of additional information. Simulation results show that the proposed algorithm provides much smaller overhead than that of the previous algorithm while keeping the coding efficiency of IBDI.
Nomadic computing often refers to people using computer support working anywhere, anytime and not necessarily attached to a specific location or time of the day. Mobile computing and wireless ad-hoc networks are impor...
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Nomadic computing often refers to people using computer support working anywhere, anytime and not necessarily attached to a specific location or time of the day. Mobile computing and wireless ad-hoc networks are important elements in this kind of scenarios. Nowadays it is common to see architects, engineers, geologists and/or designers working on the field and sharing ideas on a collaborative media using sketches and freehand writing. On this scenario, data overflow among the peer applications often happens, since the sketches have to be distributed among all participants in real time. This paper presents a work on characterization and compression algorithms for sketches, with and without loss of information, to be used on mobile devices, in order to reduce the data traffic. We focused our study on three parameters of the algorithms: time required characterizing and compressing the sketch, size of the resulting information and human perceived of lost information. Our results present algorithms with a compression ratio lower than 1% the size of the original image without information loosing under human perception.
The following article is about the methods of sound data compression. The technological progress has facilitated the process of recording audio on different media such as CD-Audio. The development of audio data compre...
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The following article is about the methods of sound data compression. The technological progress has facilitated the process of recording audio on different media such as CD-Audio. The development of audio data compression has significantly made our lives easier. In recent years, much has been achieved in the field of audio and speech compression. Many standards have been established. They are characterized by more better sound quality at lower bitrate. It allows to record the same CD-Audio formats using “lossy” or lossless compression algorithms in order to reduce the amount of data surface area at almost noticeable difference in the quality of the recording. In order to compare methods of sound data compression I have used Adobe Audition 3.0 software and computer program of the sound compression system from manufacturers' side. To illustrate the problem, I have used the graphs of the spectrum and musical composition spectrograms. The comparison has been done on the basis of uncompressed music track from the original CD-Audio.
We propose an algorithm for the compression of ECG signals, in particular QRS complexes, based on the expansion of signals with compact support into a basis of discrete Hermite functions. These functions are obtained ...
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We propose an algorithm for the compression of ECG signals, in particular QRS complexes, based on the expansion of signals with compact support into a basis of discrete Hermite functions. These functions are obtained by sampling continuous Hermite functions, previously used for the compression of ECG signals. Our algorithm uses the theory of signal models based on orthogonal polynomials, and achieves higher compression ratios compared with previously reported algorithms, both those using Hermite functions, as well as those using the discrete Fourier and discrete cosine transforms.
3D meshes are one of the most common representations of 3D objects that have been used in graphics applications. They often require a huge amount of data for storage and/or transmission. In this paper, we present a ne...
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3D meshes are one of the most common representations of 3D objects that have been used in graphics applications. They often require a huge amount of data for storage and/or transmission. In this paper, we present a new compression algorithm based on stripification of the geometric models that enables us to progressively visualize the 3D models during their transmission. The proposed algorithm encodes the geometry and the connectivity of the input model in an interwoven fashion. The main idea is to store 3D objects as strips files. The algorithm achieves compression ratios above 61 : 1 over ASCII encoded formats resulting in faster transmission and rendering of complex graphical objects.
In this work, we have implemented DCT data compression and a run-length approach to compress an ECG data signal and send the compressed data via a Bluetooth device to a mobile phone on which a .Net platform applicatio...
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In this work, we have implemented DCT data compression and a run-length approach to compress an ECG data signal and send the compressed data via a Bluetooth device to a mobile phone on which a .Net platform application has been installed. After reception of the compressed data, the original signal will be retrieved by the inverse DCT algorithm using the built-in application. The results have shown good compression performance indices. Transmission time is reduced due to the necessity of the energy conservation of the mobile battery and online application of telecardiology.
In this article, two algorithms are described that are suited for real-time biomedical signal compression. These being, Amplitude Threshold compression and SQ segment compression. Comparison of these methods with well...
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In this article, two algorithms are described that are suited for real-time biomedical signal compression. These being, Amplitude Threshold compression and SQ segment compression. Comparison of these methods with well known methods such as lossy Discrete Cosine Transform (DCT) and lossless Turning Point (TP) is shown. The compression method outputs were reconstructed using a cubic spline approximation and compared. The values of compression ratio (CR), percent mean square difference (PRD) and area criteria were chosen for method comparison. Here it is shown that the method presented here (Threshold, SQ segment) provide considerably lower CR values than the DCT method and slightly higher CR values than the TP method. However, the PRD value for both proposed methods is lower than the PRD values of reference methods DCT and TP.
This paper presents an algorithm for compressing long traces generated using RTL or other fast simulation. The compressed traces can be used by power analysis tools to estimate power on the original traces. We show th...
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ISBN:
(纸本)9781457713989
This paper presents an algorithm for compressing long traces generated using RTL or other fast simulation. The compressed traces can be used by power analysis tools to estimate power on the original traces. We show that the length of the compressed trace is independent of the length of original trace and is a function of circuit size (precisely, its active part) for which the trace was generated. Our experiments show up to 578× compression ratio on several long RTL traces (up to 320,000 clock transitions) used for power analysis on three industrial blocks (4K, 114K and 202K gates). This leads to significant runtime improvement, especially when the traces are reused over multiple power analysis runs. The dynamic power estimated using compressed traces is within 5% of the power analysis on original traces.
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