Signal compression based on zonal selection methods

W. Dziech, R. Baran, D. Wiraszka
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引用次数: 10

Abstract

Compression of signals in the spectral domain consists of the rejection of related transform coefficients and reconstruction of signals by inverse transforms. There exist two basic methods used to select coefficients to be transmitted: threshold selection and zonal selection. In threshold selection the reconstruction is made with a subset of coefficients that are larger than a specified threshold. In the zonal method the reconstruction is made with a subset of coefficients lying in a predetermined zone. Only those coefficients are selected for further processing, the remaining coefficients are set to zero. In this paper, zonal compression techniques performed on chosen signals using different transforms are investigated. The mean square error (MSE) is used as a measure of signal reconstruction quality. Plots of the MSE versus compression percentage are included for comparison of methods.
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基于区域选择方法的信号压缩
信号在谱域中的压缩包括抑制相关变换系数和通过逆变换对信号进行重构。选择传输系数的基本方法有两种:阈值选择和区域选择。在阈值选择中,使用大于指定阈值的系数子集进行重建。在分区法中,用位于预定区域的系数子集进行重建。仅选择这些系数进行进一步处理,其余系数设为零。本文研究了用不同变换对所选信号进行的区域压缩技术。均方误差(MSE)被用作信号重构质量的度量。包括MSE与压缩百分比的图,用于比较方法。
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