Jump to content

Matched Z-transform method

From Wikipedia, the free encyclopedia
This is an old revision of this page, as edited by Omegatron (talk | contribs) at 02:22, 13 November 2017 (add more info). The present address (URL) is a permanent link to this revision, which may differ significantly from the current revision.
The s-plane poles and zeros of a 5th-order Chebyshev type II lowpass filter to be approximated as a discrete-time filter
The z-plane poles and zeros of the discrete-time Chebyshev filter, as mapped into the z-plane using the matched Z-transform method with T = 1/10 second. The labeled frequency points and band-edge dotted lines have also been mapped through the function z=eiωT, to show how frequencies along the axis in the s-plane map onto the unit circle in the z-plane.

The matched Z-transform method, also called the pole–zero mapping[1][2] or pole–zero matching method,[3] is a technique for converting a continuous-time filter design to a discrete-time filter (digital filter) design.

The method works by mapping all poles and zeros of the s-plane design to z-plane locations , for a sample interval .[4]

Since the mapping wraps the s-plane's axis around the z-plane's unit circle repeatedly, any zeros greater than the Nyquist frequency will be mapped to an aliased location.[5]

This transform doesn't preserve time- or frequency-domain properties, and so is rarely used.[5] Alternative methods include the bilinear transform and impulse invariance methods. MZT does provide less high frequency response error than the BLT, however, making it easier to correct by adding additional zeros, which is called the MZTi (for "improved").[6]

Responses of the filter (solid), and its discrete-time approximation (dashed), for nominal cutoff frequency of 1 Hz, sample rate 1/T = 10 Hz. The discrete-time filter does not reproduce the Chebyshev equiripple property in the stopband due to the interference from cyclic copies of the response.

References

  1. ^ Won Young Yang (2009). Signals and Systems with MATLAB. Springer. p. 292. ISBN 978-3-540-92953-6.
  2. ^ Bong Wie (1998). Space vehicle dynamics and control. AIAA. p. 151. ISBN 978-1-56347-261-9.
  3. ^ Arthur G. O. Mutambara (1999). Design and analysis of control systems. CRC Press. p. 652. ISBN 978-0-8493-1898-6.
  4. ^ S. V. Narasimhan and S. Veena (2005). Signal processing: principles and implementation. Alpha Science Int'l Ltd. p. 260. ISBN 978-1-84265-199-5.
  5. ^ a b Rabiner, Lawrence R; Gold, Bernard (1975). Theory and application of digital signal processing. Englewood Cliffs, New Jersey: Prentice-Hall. pp. 224–226. ISBN 0139141014. In general, use of impulse invariant or bilinear transformation is to be preferred over the matched z transformation.
  6. ^ Ojas, Chauhan; David, Gunness (2007-09-01). "Optimizing the Magnitude Response of Matched Z-Transform Filters ("MZTi") for Loudspeaker Equalization" (PDF). Audio Engineering Society. Archived from the original on 2007. {{cite journal}}: Check date values in: |archive-date= (help)