Algorithm and architecture: for non-linear noise filtering via piecewise linear compression

K. Konstantinides, B. Natarajan
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引用次数: 4

Abstract

We present a novel non-linear filtering technique for random noise, based on the principle that random noise is hard to compress. In contrast to spectral filters, the proposed technique does not require a priori knowledge of the noise and signal characteristics. We demonstrate the technique by filtering additive random noise using a compression algorithm based on piecewise linear approximation. A single chip design of the filtering algorithm is also presented. It includes two multiplier-accumulator units, an adder, registers, and a short look-up table. The proposed implementation allows an output sample to be generated every four cycles on average.<>
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基于分段线性压缩的非线性噪声滤波算法与体系结构
基于随机噪声难以压缩的原理,提出了一种针对随机噪声的非线性滤波技术。与频谱滤波器相比,所提出的技术不需要先验的噪声和信号特性知识。我们通过使用基于分段线性逼近的压缩算法过滤加性随机噪声来演示该技术。给出了滤波算法的单片机设计。它包括两个乘法器-累加器单元,一个加法器,寄存器和一个简短的查找表。建议的实现允许平均每四个周期生成一个输出样本。
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