Influence of measurement matrix characteristics in a configurable analog-to-information converter performance

B. Arruda, R. Freire, L. F. Torres, V. L. Reis, E. Gurjão
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引用次数: 4

Abstract

Analog to Information Converters (AIC) acquires a discrete representation of a signal from the analog domain in Compressed Sensing. One of the crucial point in the AIC design is the configuration of the measurement matrix. Depending of its characteristics, this matrix can degrade the AIC performance. In this paper we analyze the influence of the primitive polynomial choice to configure a Linear Feedback Shift Register, that generates the measurement matrix values, in the performance of a configurable AIC. It is shown that, depending of the chosen primitive polynomial with a certain degree, the performance of the AIC can be completely degraded.
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测量矩阵特性对可配置模拟-信息转换器性能的影响
在压缩感知中,模拟信息转换器(AIC)从模拟域获取信号的离散表示。测量矩阵的配置是AIC设计的关键之一。根据其特性,该矩阵可能会降低AIC的性能。本文分析了原元多项式选择对配置线性反馈移位寄存器(用于产生测量矩阵值)性能的影响。结果表明,在一定程度上依赖于所选择的原始多项式,AIC的性能可能会完全下降。
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