Journal Article10.1109/TASSP.1986.1164951
Measurement of spectral correlation
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TL;DR: Various methods for measurement/computation of spectral correlation functions for time series that exhibit cyclostationarity are described in a unifying theoretical framework, and the interaction among reliability and temporal, spectral, and cycle resolutions is determined.
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Abstract: Various methods for measurement/computation of spectral correlation functions for time series that exhibit cyclostationarity are described in a unifying theoretical framework. Some of these are amenable to digital hardware or software implementations, others are amenable to analog electrical or optical implementations, and other implementation types used for conventional spectral analysis are also possible. The interaction among reliability and temporal, spectral, and cycle resolutions is determined. Novel problems of computational complexity, cycle leakage and aliasing, cycle resolution, and cycle phasing are discussed. Sample spectral correlation functions are calculated with digital software for several simulated signals.
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Citations
Zoom Discrete Spectral Correlation Function, with Application to Cyclostationary Signal Detection
01 Mar 2022
TL;DR: In this article , the authors presented an innovative adaptation of the well-known FFT Accumulation Method (FAM) to efficiently obtain the discrete Spectral Correlation Function (SCF) in a zoomed/local sub-band of the entire frequency and cycle frequency (f;α) plane.
Spectrum sensing for wireless broadcast communication systems
Hou-Shin Chen
- 01 Jan 2008
TL;DR: Simulation results indicate that the spectrum sensing algorithms developed in this thesis can efficiently detect the presence of primary licensed signals when the SNR is as low as -20 dB.
Blind Detection and Parameter Estimation of Multiuser and Multipath DS-CDMA Signal Using Cyclostationary Statistics
Miao Yu,Shiju Li,Hao Feng,Zhimin Yang +3 more
- 18 Nov 2008
TL;DR: In this article, a method based on second order cyclostationary statistics was adopted to detect whether the modulated signal exists in background noise, which can achieve good performance even when signals are buried in strong background noise.
CS-Based Modulation Recognition of Sparse Multiband Signals Exploiting Cyclic Spectral Density and MLP
Yanping Chen,Song Wang,Yulong Gao,Xu Bai,Lu Ba +4 more
- 04 Jul 2020
TL;DR: In this article, compressed sensing and cyclic spectral density are combined to cope with the shortcomings of existing methods followed by the multi-layer perceptron (MLP) to recognize modulation mode of signal.
Differentiation of Heart Rhythms from ECG by Joint Use of Quantile Peak Localization and Windowed Cyclostationarity Analysis
10 Oct 2022
TL;DR: In this article , a combined scheme of ECG signal processing by simultaneous application of a cyclostationarity method and quantile localization of R-waves is offered, which is tested on records from a public database containing one thousand 10-second high-quality ECG fragments classified by heart rate types.
References
The spectral correlation theory of cyclostationary time-series
TL;DR: In this article, a spectral correlation theory for cyclostationary time series is introduced, and the spectral correlation properties of Rice's representation for bandpass time-series are derived.
289
Cycloergodic properties of discrete- parameter nonstationary stochastic processes
R. Boyles,William A. Gardner +1 more
TL;DR: The cycloergodic theory developed herein extends and generalizes existing ergodic theory for asymptotically mean stationary and N -stationary (cyclostationary) processes, and is presented in both wide-sense and strict-sense contexts.
72
The Role of Spectral Correlation in Design and Performance Analysis of Synchronizers
TL;DR: The popular class of synchronizers that consist of a quadratic nonlinearity followed by a phase-lock loop is investigated, and it is shown that the optimum design of the quadratics transformation is characterized in terms of a spectral correlation function for the signal to be synchronized to.
57
Acoustooptic spectrum analysis: a high performance hybrid technique
TL;DR: A hybrid technique for wide-bandwidth high-resolution acoustooptic spectrum analysis is described that combines features of 2-D space-integrating and time-integration techniques, and an optically transformed periodic chirp provides a distributed local oscillator that permits wide system bandwidth.
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