Electronics storage systems, image display stations, protocols, and networks capable of managing a large amount of data must be developed in order for picture archival and communications systems to become a reality, T...
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Adaptive least mean square (LMS) filters are shown to be effective in reducing harmonic noise on distribution power lines. The efficiency of these filters can be improved by imposing constraints.
Adaptive least mean square (LMS) filters are shown to be effective in reducing harmonic noise on distribution power lines. The efficiency of these filters can be improved by imposing constraints.
This paper provides an analytical derivation of a simple noniterative technique for extracting a multiple impulse excitation model for synthesized speech directly from the LPC residual sequence. While suboptimal with ...
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This paper provides an analytical derivation of a simple noniterative technique for extracting a multiple impulse excitation model for synthesized speech directly from the LPC residual sequence. While suboptimal with respect to "multipulse" techniques, this method is very applicable for speech enhancement where processor capability is limited. The results suggest an additional "orthogonality" requirement between the excitation sequence and the resulting prediction error, which aids in the intuitive understanding of the method.
In this paper, the adaptive Least Mean Squares (LMS) algorithm is used to separate speaker-produced "information" from interferer-produced "noise" on the basis of the difference in power levels ass...
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In this paper, the adaptive Least Mean Squares (LMS) algorithm is used to separate speaker-produced "information" from interferer-produced "noise" on the basis of the difference in power levels associated with the two phenomena. This method exploits the property of LMS that it rapidly adapts for the dominant excitation modes while simultaneously adapting very slowly for the weaker modes of excitation. This selective convergence property of LMS is next analyzed using an eigenvalue-eigenvector approach which easily displays the signal separation property. Lastly, computer simulations are presented which verify the analysis above for representative synthetic speech waveforms.
Concurrent process structured software can be used as a tool for studying the behavior of parallel digital signalprocessing systems. By modeling alternative architectures for a given application and characterizing th...
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Concurrent process structured software can be used as a tool for studying the behavior of parallel digital signalprocessing systems. By modeling alternative architectures for a given application and characterizing the interactions of concurrent processes, an evaluation of relative efficiencies can be made. Presented here are models of three architectures for time domain harmonic scaling (TDHS) of speech. Their implementations and the software tools required to study their behavior are described.
This paper addresses various aspects of motion-compensated interframe coding. The image sequence data is investigated in an attempt to develop a more thorough analysis of the convergence requirements and the convergen...
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This paper addresses various aspects of motion-compensated interframe coding. The image sequence data is investigated in an attempt to develop a more thorough analysis of the convergence requirements and the convergence rate. A new motion prediction technique is used which increases the validity of the assumptions made in proving convergence and which decreases the total prediction error. Simulation results are presented to indicate the improvement of the proposed motion prediction scheme and to indicate the results of the convergence analysis.
A major problem in image reconstruction and restoration is assuming that the obtained solution is acceptable to the user. The reason that a user can reject a computed solution is that the user has access to more a pri...
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In image coding, image information can often be transmitted with relatively little bandwidth requirement. This is the case in the pixel domain if there are large blocks of homogeneous intensity within a single frame, ...
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In image coding, image information can often be transmitted with relatively little bandwidth requirement. This is the case in the pixel domain if there are large blocks of homogeneous intensity within a single frame, or when comparing adjacent frames there are large blocks of unchanged pixels. In the frequency domain, this is the case when only a few of the frequency coefficients are deemed significant. This paper presents an algorithm for improving the bandwidth compression of the error pattern generated by typical motion-compensated coding techniques. The algorithm involves two well established techniques; conventional transform coding and the method of successive Projection onto Convex Sets.
A common signalprocessing task, related to fast convolution, is the reconstruction of a time series from a set of spectral data obtained from the output of a DFT and subjected to a specified spectral modification. Wi...
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A new architecture for a Single-Instruction Multiple Data (SIMD) implementation of the LMS adaptive algorithm is investigated. This is denoted as a ring architecture, due to its physical configuration, and it effectiv...
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A new architecture for a Single-Instruction Multiple Data (SIMD) implementation of the LMS adaptive algorithm is investigated. This is denoted as a ring architecture, due to its physical configuration, and it effectively solves the latency problem often associated with prediction error feedback in adaptive filters. The multiprocessor ring efficiently updates the filter input vector by operating as a pipeline structure, while behaving as a parallel structure in computing the filter output and applying the weight adaptation algorithm. Lastly, individual processor timing and capacity considerations are examined.
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