Detection and correction of limit cycle oscillations in second -order recursive digital filter

Author(s):  
Krishna Raj ◽  
M.M.M.E.C.
1977 ◽  
Vol 14 (3) ◽  
pp. 221-236 ◽  
Author(s):  
T. J. Terrell

The paper presents simple illustrative examples of recursive digital filter design using the bilinear transformation. The effective implementation of the design examples using a digital mini-computer is described. Practical tests and the corresponding results applied to a second order Butterworth low-pass digital filter are presented.


1975 ◽  
Vol 14 (02) ◽  
pp. 80-86 ◽  
Author(s):  
G. Pfurtscheller ◽  
S. Schuy

A digitized EEG can be reduced to a few parameters (< 15) if an autoregressive model is introduced. These parameters can be stored very economically.With the aid of autoregressive parameters a recursive digital filter is realized which generates the EEG if a random number sequence is given to the filter input. Furthermore, the autoregressive parameters can be used for estimating power density distribution and for building up a non-recursive digital filter based on the inverse autoregressive model which will filter the EEG and detect spikes and other instationarities in the EEG. After decomposition of the recursive filter into a series of filters of second order it is possible to calculate parameters such as peak frequency, bandwidth and amplitude, which describe the second order filter and thus characterize the frequency components of the EEG.


2016 ◽  
Vol 25 (08) ◽  
pp. 1650094 ◽  
Author(s):  
Tian-Bo Deng

In the design of recursive digital filters, the stability of the recursive digital filters must be guaranteed. Furthermore, it is desirable to add a certain amount of margin to the stability so as to avoid the violation of stability due to some uncertain perturbations of the filter coefficients. This paper extends the well-known stability-triangle of the second-order digital filter into more general cases, which results in dented stability-triangles and generalized stability-triangle. The generalized stability-triangle can be viewed as a special case of the dented stability-triangles if the two upper bounds on the radii of the two poles are the same, which is a generalized version of the existing conventional stability-triangle and can guarantee the radii of the two poles of the second-order recursive digital filter below some prescribed upper bound. That is, it is able to provide a prescribed stability-margin in terms of the upper bound of the pole radii. As a result, the generalized stability-triangle increases the flexibility for guaranteeing a prescribed stability-margin. Since the generalized stability-triangle is parameterized by using the upper bound of pole radii, i.e., the stability-margin is parameterized as a function of the upper bound, the proposed generalized stability-triangle facilitates the stability-margin guarantee in the design of the second-order as well as high-order recursive digital filters.


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