论文信息 - Fractional Discrete-Time Signal Processing: Scale Conversion and Linear Prediction

Fractional Discrete-Time Signal Processing: Scale Conversion and Linear Prediction

A generalization of the linear prediction for fractional steps isreviewed, widening well-known concepts and results. This prediction isused to derive a causal interpolation algorithm. A reconstructionalgorithm for the situation where averages are observed is alsopresented. Scale conversion of discrete-time signals is studied takingas base the fractional discrete-time system theory. Some simulationresults to illustrate the behaviour of the algorithms will be presented.A new algorithm for performing the zoom transform is also described.

[1] S. Sidney Burrus. Computer-Based Exercises for Signal Processing Using MATLAB , 1993 .

[2] John G. Proakis,et al. Digital Signal Processing: Principles, Algorithms, and Applications , 1992 .

[3] E. I. Jury,et al. Theory and application of the z-transform method , 1965 .

[4] Manuel Duarte Ortigueira,et al. Global versus local minimization in least-squares AR spectral estimation , 1984 .

[5] Unto K. Laine,et al. Splitting the Unit Delay - Tools for fractional delay filter design , 1996 .

[6] Mark O'Malley,et al. The zero-order hold equivalent transfer function for a time-delayed process , 1995 .

[7] Manuel Duarte Ortigueira. Fractional discrete-time linear systems , 1997, 1997 IEEE International Conference on Acoustics, Speech, and Signal Processing.