Generation of amplitude constrained signals with a prescribed spectrum

[1]  Alex Simpkins,et al.  System Identification: Theory for the User, 2nd Edition (Ljung, L.; 1999) [On the Shelf] , 2012, IEEE Robotics & Automation Magazine.

[2]  G.C. Goodwin,et al.  A Receding Horizon Algorithm to Generate Binary Signals with a Prescribed Autocovariance , 2007, 2007 American Control Conference.

[3]  Graham C. Goodwin,et al.  Robust optimal experiment design for system identification , 2007, Autom..

[4]  Petros Boufounos Generating Binary Processes with all-Pole Spectra , 2007, 2007 IEEE International Conference on Acoustics, Speech and Signal Processing - ICASSP '07.

[5]  Graham C. Goodwin,et al.  Good, Bad and Optimal Experiments for Identification , 2006 .

[6]  H. Hjalmarsson,et al.  Adaptive input design in system identification , 2005, Proceedings of the 44th IEEE Conference on Decision and Control.

[7]  G. Deodatis,et al.  Simulation of Binary Random Fields with Applications to Two-Phase Random Media , 2005 .

[8]  D. Lieberman,et al.  Fourier analysis , 2004, Journal of cataract and refractive surgery.

[9]  A.H. Tan,et al.  The generation of binary and near-binary pseudo-random signals: an overview , 2001, IMTC 2001. Proceedings of the 18th IEEE Instrumentation and Measurement Technology Conference. Rediscovering Measurement in the Age of Informatics (Cat. No.01CH 37188).

[10]  S. Torquato,et al.  Generating microstructures with specified correlation functions , 2001 .

[11]  Graham C. Goodwin,et al.  Control System Design , 2000 .

[12]  Salvatore Torquato,et al.  Generating random media from limited microstructural information via stochastic optimization , 1999 .

[13]  Lennart Ljung,et al.  System identification (2nd ed.): theory for the user , 1999 .

[14]  S. Torquato,et al.  Reconstructing random media , 1998 .

[15]  Henry P. Wynn,et al.  On the covariance function of stationary binary sequences with given mean , 1993, IEEE Trans. Inf. Theory.

[16]  J. Schoukens,et al.  Crest-factor minimization using nonlinear Chebyshev approximation methods , 1991 .

[17]  Lennart Ljung,et al.  System Identification: Theory for the User , 1987 .

[18]  L. Devroye Non-Uniform Random Variate Generation , 1986 .

[19]  J. M. C. Clark,et al.  Characterizing the autocorrelations of binary sequences , 1983, IEEE Trans. Inf. Theory.

[20]  Bede Liu,et al.  Generation of a random sequence having a jointly specified marginal distribution and autocovariance , 1982 .

[21]  A. Bos,et al.  Synthesis of discrete-interval binary signals with specified Fourier amplitude spectra , 1979 .

[22]  D.G. Dudley,et al.  Dynamic system identification experiment design and data analysis , 1979, Proceedings of the IEEE.

[23]  E. Masry On Covariance Functions of Unit Processes , 1972 .

[24]  Manfred R. Schroeder,et al.  Synthesis of low-peak-factor signals and binary sequences with low autocorrelation (Corresp.) , 1970, IEEE Trans. Inf. Theory.

[25]  N. Blachman,et al.  The Spectrum of a High-Index FM Waveform: Woodward's Theorem Revisited , 1969 .

[26]  U. Gujar,et al.  Generation of random signals with specified probability density functions and power density spectra , 1968 .

[27]  I. Miller Probability, Random Variables, and Stochastic Processes , 1966 .

[28]  B. McMillan History of a Problem , 1955 .

[29]  Kai Lai Chung,et al.  A Course in Probability Theory , 1949 .