In this paper we propose the use of adaptive-context-based prediction in a sequential mode for lossless audio compression. We show that lossless compression algorithms with sequential context based prediction can achi...
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In this paper we propose the use of adaptive-context-based prediction in a sequential mode for lossless audio compression. We show that lossless compression algorithms with sequential context based prediction can achieve better compression results than with forward-frame-based linear prediction. Two distinct algorithms are proposed and evaluated for audio signal sampled at 48 kHz with 16 bits/sample. The context quantization and prediction in both algorithms are similar to those used in an algorithm previously proposed for image compression [7] but new solutions are provided for modelling of errors and collecting the coding statistics. The first algorithm uses histogram bucketing in a small number of contexts in conjunction with an arithmetic coder. The second algorithm uses parametric modelling of errors in a large number of contexts in conjunction with Golomb-Rice encoding.
A highly-scaleable FIR architecture based on the radix-4 Booth algorithm has been designed with scaleable dynamic ranges of input data and filter coefficients. The radix-4 Booth algorithm is demonstrated to have a low...
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We present a recursive estimation technique for recovering FOE (Focus of Expansion) from unreliable motion or optical flow. The estimation of FOE is of importance to the analysis of camera motion, especially, in the c...
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We present a recursive estimation technique for recovering FOE (Focus of Expansion) from unreliable motion or optical flow. The estimation of FOE is of importance to the analysis of camera motion, especially, in the case that the camera motion is purely translational. Our work is based on the observation that there is strong dependence between FOE estimation and motion flows. Therefore, as the FOE depends on the motion flow, a good motion flow can be obtained from accurate FOE. We assume that the camera motion is purely translational and there is no object motion in the scene. The technique used for the elimination of unreliable motion flow is orthogonal regression method. We combine FOE estimation with the elimination algorithm of unreliable motion flows. Experiments using both simulation and real scenes show that our proposed method works robustly under the condition that the percentage of outliers is varying between [0%,20%].
作者:
Kim, Hong KookHuman and Computer Interaction Lab.
Information Processing Sector Samsung Advanced Institute of Technology San 14 Nongseo-Ri Kiheung-Eup Yongin-City Kyungki-Do 449-712 Korea Republic of
We propose an adaptive encoding method of fixed codebook in CELP coders and implement an adaptive fixed code excited linear prediction (AF-CELP) speech coder. The AF-CELP exploits the fact that the fixed codebook cont...
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One of the best structures for implementing recursive digital filters are the wave lattice filters (parallel connections of two allpass filters). They are characterized by many attractive properties, such as a reasona...
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One of the best structures for implementing recursive digital filters are the wave lattice filters (parallel connections of two allpass filters). They are characterized by many attractive properties, such as a reasonably low coefficient sensitivity, a low roundoff noise level, and the absence of parasitic oscillations. The main drawback is that if the stopband attenuation is very high, then many bits are required for the coefficient representation. In order to get around this problem, a structure consisting of a cascade of wave lattice filters is introduced in this paper. The main advantage of the proposed structure compared to the direct wave lattice filter is that the poles for the new structure are further away from the unit circle. This means that the number of bits required for the data and coefficient representations are significantly reduced compared to the direct wave lattice filters. The price paid for these reductions is a slight increase in the overall filter order. By properly selecting the number of wave lattice filters and optimizing them, their coefficients can be implemented by a few powers-of-two. Filters of this kind are very attractive in VLSI implementations where a general multiplier is very costly.
Two methods of the orthogonal spectra extrapolation problem are considered in this paper. Both solutions are based on the application of multi-valued neural element as a filter and as an extrapolator. The first method...
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Two methods of the orthogonal spectra extrapolation problem are considered in this paper. Both solutions are based on the application of multi-valued neural element as a filter and as an extrapolator. The first method consist of approximation of the spectra in the higher frequency part using an iterative approximation and multi-valued non-linear filtering. The second method is reduced to the prediction of the spectral coefficients corresponding to the higher frequency part using possibility of MVN to predict time-series. Application of the proposed methods to solut ion of the super-resolution problem are presented.
The long-term analysis of the neuromuscular systems, and applications in telemedicine, make electromyogram (EMG) data compression a subject of great practical importance. However, in spite of the increasing demand, on...
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The long-term analysis of the neuromuscular systems, and applications in telemedicine, make electromyogram (EMG) data compression a subject of great practical importance. However, in spite of the increasing demand, only a few studies have been published on this subject. In this paper, we present two wavelet-based lossy compression techniques for EMG data. We propose modifications to the so-called 'embedded zero-tree wavelet coder', which yield very good results in ECG compression applications. We have implemented the algorithms in Matlab.and C++ and tested then with several EMG recordings.
This paper presents an effective recognition method based on perceptual organization of low level features detected in an image. The method uses a dynamic programming (DP) based formulation to represent various line g...
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ISBN:
(纸本)0780344650
This paper presents an effective recognition method based on perceptual organization of low level features detected in an image. The method uses a dynamic programming (DP) based formulation to represent various line groups such as convex, concave, and more complex patterns consisting of convex and concave shapes. The essential features of perceptual organization such as endpoint proximity, collinearity, parallelism, and connectivity of lines, are incorporated into the DP based formulation as energy terms. As endpoint proximity, we detect two line junctions from image lines. We then search for junction groups by using collinearity constraint between the junctions. A DP-based search algorithm is used to detect a junction chain similar to the model chain, based on a local comparison. The proposed system is able to find line groups from images with broken lines and strong background clutters. We demonstrate the feasibility of our DP-based matching method based on perceptual organization using real images.
This paper presents a medium access control (MAC) protocol called TUTMAC for a new wireless local area network (TUTWLAN). The design objective has been to develop a simple, multimedia service capable protocol that pro...
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This paper presents a medium access control (MAC) protocol called TUTMAC for a new wireless local area network (TUTWLAN). The design objective has been to develop a simple, multimedia service capable protocol that provides sufficient medium utilisation efficiency and guarantees QoS (quality of service) parameters. The developed system utilises a centralised (base station controlled) network architecture. A limited number of portable stations can be associated with the same base station, i.e. in the same TUTWLAN cell. TUTMAC is connection oriented: the bandwidth is allocated deploying constant bit-rate TDMA based data channels that are reserved by exchanging short control messages. The connection parameters can be dynamically altered during the data exchange session. Currently, a TUTWLAN prototype is being developed comprising both TUTMAC software and platform hardware modules. The prototype will support up to eight simultaneous data-transfer connections each having 64 to 512 kbit/s data transmission bandwidth.
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