The Shinnar-Le Roux (SLR) method of pulse envelope design provides for the generation of nearly arbitrary magnitude response profiles with such great efficiency that the pulse envelopes may often be calculated at the time of sequence initiation. A significant limitation of the method is that it prov
Efficient design of pulses with trapezoidal magnitude and linear phase response profiles
β Scribed by Stephen Pickup; Mihail Popescu
- Book ID
- 102956175
- Publisher
- John Wiley and Sons
- Year
- 1997
- Tongue
- English
- Weight
- 790 KB
- Volume
- 38
- Category
- Article
- ISSN
- 0740-3194
No coin nor oath required. For personal study only.
β¦ Synopsis
Abstract
A variation of the ShinnarβLe Roux (SLR) method of pulse envelope design that allows for control of the phase of the frequency response profile has been developed. The method makes use of the fact that a knowledge of one of the SLR polynomials in combination with a root inversion pattern for the other polynomial is sufficient to fully define the second polynomial. Optimization of the first polynomial, when cast in this form, remains nonlinear. However, it was demonstrated that the relationship between the SLR polynomials and the frequency response profile may be used to generate an initial guess for the SLR polynomials that is sufficiently accurate to allow for the application of linear optimization techniques in most cases. In practice several pulse envelopes having different root inversion patterns are investigated for each target profile. The resulting collection of pulses allows the user to trade off pulse power for profile accuracy. The proposed technique was used to design a large number of amplitude modulated excitation pulses having trapezoidal magnitude and linear phase frequency response profiles. A few examples of the resulting pulses and their response profiles are presented.
π SIMILAR VOLUMES
An eficient space-domain procedure is presentedfor the design of two-dimensional recursivejlters with specijied magnitude and linear phase. The design procedure is based on both the canonical and the modijed least-squares approximation techniques. The nonlinear equations obtained in the canonical le