Stability, dynamic range, and roundoff noise in a new second-order recursive digital filter

1983 ◽  
Vol 30 (11) ◽  
pp. 815-821 ◽  
Author(s):  
E. Liu ◽  
L. Turner
Keyword(s):  
Digital Filter ◽  
Dynamic Range ◽  
Second Order ◽  
Roundoff Noise ◽  
Recursive Digital Filter

A Demonstration of Digital Filter Design, Implementation and Testing

1977 ◽  
Vol 14 (3) ◽  
pp. 221-236 ◽  
Author(s):  
T. J. Terrell
Keyword(s):  
Digital Filter ◽  
Filter Design ◽  
Second Order ◽  
Bilinear Transformation ◽  
Digital Filter Design ◽  
Effective Implementation ◽  
Recursive Digital Filter ◽  
Low Pass

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.

Digital Storage and Simulation of EEG-Data Using a Linear EEG-Model

1975 ◽  
Vol 14 (02) ◽  
pp. 80-86 ◽  
Author(s):  
G. Pfurtscheller ◽  
S. Schuy
Keyword(s):  
Digital Filter ◽  
Autoregressive Model ◽  
Random Number ◽  
Peak Frequency ◽  
Second Order ◽  
Frequency Bandwidth ◽  
Digital Storage ◽  
Eeg Data ◽  
Recursive Digital Filter ◽  
Frequency Components

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.

New low roundoff noise realizations of second-order digital filter sections

1995 ◽  
Vol 43 (5) ◽  
pp. 1255-1258
Author(s):  
A. Tawfik ◽  
P. Agathoklis ◽  
F. El-Guibaly
Keyword(s):  
Digital Filter ◽  
Second Order ◽  
Roundoff Noise
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