Conference Paper

GIC based third-order active low-pass filters

Fac. of Electr. Eng. & Comput., Zagreb Univ.
DOI: 10.1109/ISPA.2001.938678 Conference: Image and Signal Processing and Analysis, 2001. ISPA 2001. Proceedings of the 2nd International Symposium on
Source: IEEE Xplore

ABSTRACT Third-order low-pass filters are analyzed. Two different
configurations of general impedance converter (GIC) based filters are
compared to two Sallen and Key (SAK) based structures. For GIC-based
third-order filters, realization procedures are given. The transfer
functions and the component values for the third-order filters with
Butterworth response are presented. Sensitivity analysis is done, and
the results of Monte Carlo runs, as well as Schoeffler sensitivities are
shown. The best results are obtained with the GIC-based filter which
uses four capacitances for the realization

1 Bookmark
 · 
242 Views
  • [Show abstract] [Hide abstract]
    ABSTRACT: A new class of low-pass all-pole transfer functions is defined, with maximally flat behavior at the origin. The main feature of this class is the introduction of a multiple real pole, in order to realize RC-active filters by cascading third-order sections and, if necessary, second-order sections. This solution yields a reduction in the number of OA's and, consequently, in power consumption and in SNR.
    IEEE Transactions on Circuits and Systems 05/1978;
  • Source
    [Show abstract] [Hide abstract]
    ABSTRACT: The synthesis of networks with minimum sensitivity to element tolerances is studied from a computer viewpoint. The theory of equivalent networks is used to generate a sequence of networks whose transfer functions are identical to that of a given network but whose elements differ from one network to the next by an incremental amount. In the limit, differential equations result whose solution at any value of the independent variable give the elements of an equivalent network. Similarly, differential equations for the sensitivity of the transfer function to changes in each of the elements are derived. The differential equations in both cases are linear homogeneous with the elements of the transformation matrix as the independent variables. As a measure of the optimality of the network, the sum of the squared magnitudes of the sensitivities is chosen as a performance criterion. The method of steepest descent applied to this criterion leads to a simple choice of the transformation parameters which is easily implemented on the digital computer, thereby allowing efficient synthesis of networks with minimum sensitivity to element tolerances.
    IEEE Transactions on Circuit Theory 07/1964;
  • Source
    Electronic Circuits and Systems, IEE Journal on. 01/1976; 1(1):41.

Full-text (2 Sources)

Download
1,222 Downloads
Available from
May 20, 2014