Results 181 to 190 of about 304 (202)
Some of the next articles are maybe not open access.
Active spectrum sensing with sequential sub-Nyquist sampling
2017 51st Asilomar Conference on Signals, Systems, and Computers, 2017In this paper we propose a new receiver architecture for optimum active sequential sensing via sub-Nyquist sampling. The sensing strategy we propose is formulated as a sequential utility optimization problem, where the chosen utility functions strikes the desired balance between exploration and exploitation, typical in most spectrum sensing problem. To
Lorenzo Ferrari, Anna Scaglione
openaire +1 more source
A General Sub-Nyquist Sampling System for Pulse Streams
Circuits, Systems, and Signal Processing, 2019The recent finite rate of innovation (FRI) framework has shown that pulse streams can be sampled at the rate of innovation and recovered from a set of Fourier coefficients. However, due to the individual variation of the pulse frequency spectrum, previous FRI sampling systems vary owing to different pulse shapes. In this paper, we propose a general sub-
Guoxing Huang, Ning Fu, Liyan Qiao
openaire +1 more source
A Sub-Nyquist Rate Sampling Receiver Exploiting Compressive Sensing
IEEE Transactions on Circuits and Systems I: Regular Papers, 2011zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Xi Chen +4 more
openaire +2 more sources
An examination of the effects of sub-Nyquist sampling on SNR
SPIE Proceedings, 2012Traditional compression involves sampling a signal at the Nyquist rate, then reducing the signal to its essential components via some transformation. By taking advantage of any sparsity inherent in the signal, compressed sensing attempts to reduce the necessary sampling rate by combining these two steps. Currently, compressive sampling operators are
Bruce Pollock, Nathan A. Goodman
openaire +1 more source
2023 25th International Conference on Digital Signal Processing and its Applications (DSPA), 2023
Vladislav Lesnikov +3 more
openaire +1 more source
Vladislav Lesnikov +3 more
openaire +1 more source
Nonuniform compressive sampling at sub-Nyquist rates
2012 IEEE 11th International Conference on Signal Processing, 2012A nonuniform compressive sampling digital signal processing method and its application in the frequency detection studied in this paper. The fundamental principle of nonuniform compressive sampling is explored, the nonuniform compressive sampling has being able to suppress the aliasing.
Xiaodong Zhang, Anmin Wang
openaire +1 more source
GHz sampling hardware implementation with sub-Nyquist coprime sampling rates
Review of Scientific Instruments, 2019A sub-Nyquist coprime sampling system for sparse signals is implemented in this article. The proposed system is composed of coprime sampling hardware and a multicoset signal reconstruction algorithm. A pair of uniform samplers is utilized in the hardware to sample a wideband spare analog signal with an uncertain difference in start times.
Weifeng Wen +4 more
openaire +2 more sources
Sub-Nyquist Sampling of Single Tone Signal
2020 21st International Conference of Young Specialists on Micro/Nanotechnologies and Electron Devices (EDM), 2020This paper demonstrates a method of single tone frequency measurement through preliminary amplitude predistortion in the two equalizers with opposite slope of transfer coefficients and a consequent sub-sampling. Theory of the method is discussed. Operability of the method in a several Nyquist zones successfully demonstrated experimentally.
openaire +1 more source
Speed-enhanced scattering compensation method with sub-Nyquist sampling
Optics LettersA rapid feedback-based scattering compensation method is particularly important for guiding light precisely within turbid tissues, especially the dynamic tissues. However, the huge number of measurements that come from the underutilization of the signal frequency channel greatly limits the modulation speed.
Zhenghan Li, Jiazhu Zhu, Wei Gong, Ke Si
openaire +2 more sources
Data recovery with sub-Nyquist sampling: fundamental limit and a detection algorithm
Frontiers of Information Technology and Electronic Engineering, 2021Xiqian Luo, Zhaoyang Zhang
exaly

