Cyclostationarity: New trends and applications
A Napolitano - Signal processing, 2016 - Elsevier
A concise survey of the literature on cyclostationarity of the last 10 years is presented and an
extensive bibliography included. The problems of statistical function estimation, signal …
extensive bibliography included. The problems of statistical function estimation, signal …
Cyclostationarity: Limits and generalizations
A Napolitano - Signal processing, 2016 - Elsevier
Recent developments and applications of cyclostationary signal analysis are reviewed in the
companion paper “Cyclostationarity: New trends and applications”. In this paper, limits to the …
companion paper “Cyclostationarity: New trends and applications”. In this paper, limits to the …
[BOOK][B] Generalizations of cyclostationary signal processing: spectral analysis and applications
A Napolitano - 2012 - books.google.com
The relative motion between the transmitter and the receiver modifies the nonstationarity
properties of the transmitted signal. In particular, the almost-cyclostationarity property …
properties of the transmitted signal. In particular, the almost-cyclostationarity property …
Chirp cyclic moment for chirp cyclostationary processes: Definitions and estimators
H Miao, F Zhang - Digital Signal Processing, 2023 - Elsevier
In high-mobility wireless communications and radar systems, a higher carrier frequency and
higher moving speed/acceleration of terminals enhance the impact of the time-varying …
higher moving speed/acceleration of terminals enhance the impact of the time-varying …
Generalized spectrum analysis of Chirp Cyclostationary signals associate with linear canonical transform
H Miao - Signal Processing, 2024 - Elsevier
A chirp cyclostationary (CCS) process is a nonstationary stochastic process, whose statistics
have been defined and utilized in radar and communication signal processing. However …
have been defined and utilized in radar and communication signal processing. However …
Generalizations of cyclostationarity: A new paradigm for signal processing for mobile communications, radar, and sonar
A Napolitano - IEEE Signal Processing Magazine, 2013 - ieeexplore.ieee.org
The relative motion between transmitter and receiver introduces nonstationarity to stationary
signals and modifies the nonstationarity of nonstationary signals. Several Doppler channel …
signals and modifies the nonstationarity of nonstationary signals. Several Doppler channel …
New statistics of the second-order chirp cyclostationary signals: Definitions, properties and applications
H Miao, F Zhang, R Tao - IEEE Transactions on Signal …, 2019 - ieeexplore.ieee.org
The chirp-cyclostationary (CCS) process is the generalized form of the cyclostationary (CS)
process and it can describe the nonstationary stochastic signal models more exactly in …
process and it can describe the nonstationary stochastic signal models more exactly in …
Linear time-varying matched filter for known and unknown SOI generalized cyclostationary signal with multiple cyclic frequencies
H Miao, F Zhang - Signal Processing, 2022 - Elsevier
Chirp cyclic matched filter has been designed for chirp cyclostationary (CCS) signals, a kind
of generalized cyclostationary signals, recently. However, it is designed based on statistical …
of generalized cyclostationary signals, recently. However, it is designed based on statistical …
Time-difference-of-arrival estimation algorithms for cyclostationary signals in impulsive noise
Y Liu, T Qiu, H Sheng - Signal Processing, 2012 - Elsevier
In this paper, new signal-selective methods for the estimation of time-difference-of-arrival in
the presence of interfering signals and non-Gaussian symmetric α-stable impulsive noise …
the presence of interfering signals and non-Gaussian symmetric α-stable impulsive noise …
A general fraction-of-time probability framework for chirp cyclostationary signals
H Miao, F Zhang, R Tao - Signal Processing, 2021 - Elsevier
The fraction-of-time (FOT) framework, a pseudo-probability framework, is proposed to
promote the stochastic signal processing theory into practical applications. Technically, the …
promote the stochastic signal processing theory into practical applications. Technically, the …