Finite impulse response filter design using a\ud forward orthogonal least squares algorithm
Wu, X.; Lang, Z.Q.; Billings, S.A.;
Publisher: Automatic Control and Systems Engineering, University of Sheffield
This paper is concerned with the application of\ud forward Orthogonal Least Squares (OLS) algorithm to the design of Finite Impulse Response (FIR) filters. The focus of this study is a new FIR filter design procedure and to compare this with traditional methods known as... View more
 Lertniphonphun, W. & McClellan, J.H.  Complex frequency response FIR filter design, Proceedings of the 1998 IEEE International Conference Vol. 3, pp. 1301-1304
 Wu, S.P. & Boyd, S. & Vandenberghe, L.  FIR Filter Design via Spectral Factorization and Convex Optimization, Applied Computational Control, Signal and Communications pp. 1-33
 Yong C.L. & Sun, Y. & Ya J.Y.  Design of discrete-coefficient FIR filters on loosely connected parallel machines, Signal Processing, IEEE Transactions Vol. 50, pp. 1409-1416
 Chen, S. & Billings, S.A. & Luo, W.  Orthogonal Least Squares Methods and Their Application to Nonlinear System Identification, International Journal of Control 50(5):1873-1896, 1989.
 Lay, D.C.  Linear Algebra and Its Applications, Second Edition, Addison-Wesley, pp. 378-402.
 Mitra, S.K.  Digital Signal Processing A Computer Based Approach, First Edition, McGraw-Hill, New York, pp. 462-468.
 Jackson, L.B.  Digital Filters and Signal Processing, Third Edition, Kluwer Academic Publishers, Boston, pp. 301-307.
 Mulgrew, B. & Grant, P. & Thompson, J.  Digital Signal Processing Concepts & Applications, Palgrave, New York, pp. 150-154.
 Swain, A.K. & Billings S.A.  Weighted Complex Orthogonal Estimator for Identifying Linear and Nonlinear Continuous Time Models from Generalised Frequency Response Functions, Mechanical Systems and Signal Processing, pp. 269-292.