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Advances in Theory of Compressive Sensing and Applications in Communication

机译:沟通传感理论与沟通中的应用进展

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Sampling is the link between analog signal and digital signal. With the rapid development of information technologies, demands for the amount of information are increasing at very fast speed. So the systems in existence are very difficult to meet the challenges of sampling at high speed, transmitting and storing large volume data. How to acquire information in signal efficiently is an urgent problem in electronic information fields. Compressive Sensing (CS) is a new theory of signal sampling, coding and encoding, which makes full use of signal's sparsity and compressibility [1][2]. This paper mainly introduce the model of Compressive Sensing theory, algorithm of Compressive Sensing theory. In the end, the applications fields of Compressive Sensing in communication are introduced.
机译:采样是模拟信号和数字信号之间的链接。随着信息技术的快速发展,信息量的需求以非常快的速度增加。因此,存在的系统非常难以满足高速采样的挑战,传输和存储大容量数据。如何有效地在信号中获取信息是电子信息字段中的紧急问题。压缩检测(CS)是一种新的信号采样,编码和编码理论,可以充分利用信号的稀疏性和压缩性[1] [2]。本文主要介绍压缩检测理论,压缩传感理论算法的模型。最后,介绍了通信中的压缩感测的应用领域。

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