基于180nm技术的压缩感知

R. Rao, R. Ramkumar, V. R. Vandana, P. Prabhavathi
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引用次数: 0

摘要

为了避免传输过程中的损耗,必须将现有的自然模拟信号转换为数字信号,使其易于被设备处理。这种转换过程称为采样。为了对信号进行精确采样和重建,必须以至少等于或大于输入信号最高频率的两倍的速率进行采样,这被称为香农-奈奎斯特准则。主要硬件组件,用于采样的模数转换器(ADC)的构建相当具有挑战性。同时进行压缩和采样的压缩感知有助于克服这种硬件限制。它通过启用下奈奎斯特采样技术对信号进行采样。其主要思想是通过几个采样来获得特定的信号,从而降低功耗和成本,与传统的香农-奈奎斯特采样过程相比。
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Compressive Sensing Using 180 nm Technology
The natural analog signals available have to be converted into digital form to avoid losses during transmission, so that it can be processed by the devices easily. This process of conversion is called sampling. For accurate sampling and reconstruction of a signal it must be sampled at a rate at least equal to or greater than twice the highest frequency of the input signal, which is termed as the Shannon-Nyquist criteria. The main hardware component, the Analog-to-Digital converter (ADC) for sampling is quite challenging to build. Compressive sensing which does compression and sampling at the same time helps to overcome this hardware limitation. It samples the signal by enabling the sub Nyquist under sampling technique. The main idea is to obtain the specific signal by just a few samples, as a result reducing the power consumed and the cost involved for the same as compared to conventional Shannon-Nyquist Sampling process.
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