论文信息 - A discussion of various approaches to the identification/approximation problem

A discussion of various approaches to the identification/approximation problem

The identification/approximation of a linear system by poles and residues from a measured finite length input-output record of the system is discussed. The objective of this paper is to illustrate that several different formulations for characterizing the impulse response of a system yield the same set of poles.

[1] R. N. McDonough. MAXIMUM‐ENTROPY SPATIAL PROCESSING OF ARRAY DATA , 1974 .

[2] J. Shanks. RECURSION FILTERS FOR DIGITAL PROCESSING , 1967 .

[3] J. Markel. Digital inverse filtering-a new tool for formant trajectory estimation , 1972 .

[4] W. Huggins,et al. Best least-squares representation of signals by exponentials , 1968 .

[5] D. Fletcher,et al. A Digital Method of Transfer Function Calculation , 1971 .

[6] C. Burrus,et al. Time domain design of recursive digital filters , 1970 .

[7] Adriaan van den Bos,et al. Alternative interpretation of maximum entropy spectral analysis (Corresp.) , 1971, IEEE Trans. Inf. Theory.

[8] E. Robinson,et al. The Design of High-Resolution Digital Filters , 1966 .

[9] J. Makhoul,et al. Linear prediction: A tutorial review , 1975, Proceedings of the IEEE.

[10] H. Sorenson. Least-squares estimation: from Gauss to Kalman , 1970, IEEE Spectrum.

[11] E. Robinson,et al. PRINCIPLES OF DIGITAL WIENER FILTERING , 1967 .

[12] S. Treitel. PREDICTIVE DECONVOLUTION: THEORY AND PRACTICE , 1969 .