In this chapter, the statistical characterization of persistent finite. Advanced monopulse processing of phased array radar speaker. Introduction to digital signal processing through the filter. Purchase cyclostationary processes and time series 1st edition. Thus, cyclostationaritybased signal processing algorithms are signal selective. This complex envelope modulates a carrier frequency to produce the transmitted signal. Perna, cyclic spectral analysis of the gps signal, digital signal processing, elsevier. Timefrequency representations of generalized almostcyclostationary signals. He is on the editorial board of signal processing elsevier since 2008 and digital signal processing elsevier since 2015. This work was supported by the nsfc for distinguished young scholars. Generalizations of cyclostationary signal processing by. On cyclostationaritybased signal detection eurasip. Signal processing antonio napolitano spectral analysis and applications red box rules are for proof stage only.
In this post we look at directsequence spreadspectrum dsss signals, which can be usefully modeled as a kind of psk signal. Member of the signal processing theory and method technical committee sptmtc of the ieee signal processing society. Summary in this chapter, the statistical characterization of persistent finite. Generalizations of cyclostationary signal processing addresses these issues and includes thefollowing key. A cyclostationary process is a signal having statistical properties that vary cyclically with time. Eurasip journal on advances in signal processing 3 amplitude of 1.
Generalizations of cyclostationary signal processing napolitano antonio napolitano, university of napoli parthenope, italy the relative motion between the transmitter and the receiver modifies the. From 2008 to 20, he has been an elected member of the signal processing theory and method technical committee of the ieee signal processing society. Generalizations of cyclostationary signal processing wiley online. My colleague antonio napolitano has done some work on a large class of. Cyclostationary processes and time series 1st edition elsevier. He is the principal investigator of a nato grant on. Department of electrical engineering, bilkent university, 06800, bilkent, ankara, turkey. This tutorial explains the basic concepts of digital signal processing in a simple and easytounderstand manner. Theory, applications, and generalizations, academic presselsevier, 2020, isbn.
Generalizations of cyclostationary signal processing wiley. Download for offline reading, highlight, bookmark or take notes while you read generalizations of cyclostationary signal processing. Cyclostationary signal processing understanding and. This tutorial explains the basic concepts of digital signal processing in a. Antonio napolitano home page cyclostationary processes. Many processes in nature arise from the interaction of. My friend and colleague antonio napolitano has just published a new book on cyclostationary signals and cyclostationary signal processing.
Algorithms for analysis of signals with timewarped cyclostationarity. For this reason, the voting will be carried out by email. Ieee transactions on signal processing 49 1, 3044, 2001. Antonio napolitano at parthenope university of naples antonio napolitano. Foundations of signal processing by vetterli, kovacevi. Cyclostationary signal processing understanding and using. Antonio napolitano generalizations of cyclostationary. This should include, the wiley titles, and the specific portion of the content you wish to reuse e. Iterative signal processing in communications has experienced an explosive rise in popularity in recent years. The scientist and engineers guide to digital signal processing second edition by steven w. Citescore values are based on citation counts in a given year e.
Antonio napolitano, and luigi paura blind channel identification and equalization using spectral correlation measurements, zhi ding part 1, and lang tong, guanghan xu, and thomas kailath part 2. For those readers who haven t had prior exposure to signal and image processing, we. The aim of this work is to present a new method of valueatrisk calculation using the fractionoftime probability approach used in signal processing see e. This cited by count includes citations to the following articles in scholar. Ieee signal processing society sensor array and multichannel sam technical committee. This research was supported in part by the national natural science foundation of china under grant no. Recent advances in theory and methods for nonstationary. Background generalizations of cyclostationary signal. Spectral analysis and applications ebook written by antonio napolitano. Generalizations of antonio napolitano cyclostationary red box. An ubiquitous statistical model for science data speaker. He has been a member of various journal editorial boards such as signal processing elsevier and journal of electrical and computer engineering hindawi. Generalizations of antonio napolitano cyclostationary red.
Digital signal processing is an important branch of electronics and telecommunication engineering that deals with the improvisation of reliability and accuracy of the digital communication by employing multiple techniques. Signal processing vol 153, pages 1410 december 2018. Signal processing an international journal author information pack table of contents. Ieee transactions on signal processing 50 12, 29622975, 2002. Eurasip journal on advances in signal processing volume 2011. A cyclostationary process can be viewed as multiple interleaved stationary processes. Narang, pascal frossard, antonio ortega and pierre vandergheynst, for the emerging field of signal processing on graphs extending highdimensional data analysis to networks and other irregular domains, ieee signal processing magazine, volume 30, no. Sam minutes icassp 2018 05 ieee signal processing society. Digital signal processing editorial board elsevier. A proper statistical characterization of the received signal allows for the design of signal processing algorithms for. Their combined citations are counted only for the first article. Sam tc meeting icassp 2015 ieee signal processing society.
Byrne department of mathematical sciences university of massachusetts lowell lowell, ma 01854. Generalizations of cyclostationary signal processing. Algorithms for analysis of signals with timewarped. The histogram, pmf and pdf 19 the normal distribution 26 digital noise generation 29 precision and accuracy 32 chapter 3. Download for offline reading, highlight, bookmark or take notes while you read digital signal processing. Evaluation of timefrequency representations and structured sparsity approaches. In 1997, he was with the department of electrical and computer engineering at the university of california, davis, usa, as a postdoctorate research associate. Gardnera, antonio napolitanob, luigi paurac astatistical signal processing incorporated sspi, 1909 jefferson street, napa, ca 94559, usa. Pdf recent advances in theory and methods for nonstationary. For those who have already seen this material, we hope this chapter will serve as a refresher.
Many conventional statistical signal processing methods treat random signals as if they were statistically stationary, that is, as if the. Antonio napolitano author antonio napolitano, university of napoli parthenope, italydr. Presents the underlying theoretical framework, accompanied by details of. Advanced monopulse processing of phased array radar. The relative motion between the transmitter and the receiver modifies the nonstationarity properties of the transmitted signal.
Antonio napolitano university of napoli parthenope details. This method is initialized by any initial estimate of the s, and its estimate converges to the matrix minimizing 3 the s that give correspond to the limits. After each new sample is taken, the oldest data drops off the front of the series, the remaining data is moved forward in the series, and the data just acquired is added to the end of the series. A proper statistical characterization of the received signal allows for the design of signal processing algorithms for detection, estimation, and classification that significantly outperform algorithms based on classical descriptions of signals. Member of the signal processing theory and method technical committee.
Antonio napolitano, university of napoli parthenope, italy dr. Generalizations of cyclostationary signal processing addresses these issues and includes the following key features. The scientist and engineers guide to digital signal processing second edition. Antonio napolitano m95sm07f16 was born in napoli, italy, in 1964. He has been a member of various journal editorial boards such as signal processing elsevier and journal of electrical and computer engineering. The scientist and engineers guide to digital signal processing. Dsss signals are used in a variety of realworld situations, including the familiar cdma and wcdma signals, covert signaling, and gps. Generalizations of cyclostationary signal processing addresses these issues and includes the following. Recent advances in theory and methods for nonstationary signal analysis. Antonio napolitano was born in napoli, italy, in 1964. Napolitano, university of naples parthenope, napoli, italy. It is based on conjugate cyclic autocorrelation measurements at pairs of cycle frequencies and lags for which the signalofinterest exhibits cyclostationarity while the disturbance does not. Smith california technical publishing san diego, california.
Generalizations of cyclostationary signal processing, 2012. Napolitano is currently professor of telecommunications at the university of napoli parthenope. Cyclostationarity of directsequence spreadspectrum. The scientist and engineers guide to digital signal. From 2017 he is elected member of the sensor array and. In 1995 he received the best paper of the year award from the european association for signal processing eurasip for a paper on higherorder cyclostationarity. Ieee transactions on signal processing 50 12, 29472961. A proper statistical characterization of thereceived signal allows for the design of signal processingalgorithms for detection, estimation, and classification thatsignificantly outperform algorithms based on classical descriptionsof signals. The book is a comprehensive guide to the structure of. Ieee international conference on signal, information and.