Transfer Function Coefficients Calculation of the High Pass Frequency-Dependent Second-Order Components Using Special Phase Frequency Response Values

In this work, adjustable second-order digital frequency-dependent components that are used in robotic systems are considered. The obtained approximations of the PFR dependence on the ripple level allow us to find the digital filter transfer function denominator coefficients' values that result contributes to a more rapid rearrangement of their responses in robotic systems.

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Evaluation of an Articulation-Index Based Model for Predicting the Effects of Adaptive Frequency Response Hearing Aids

Journal of Speech Language and Hearing Research ◽

10.1044/jshr.3304.676 ◽

1990 ◽

Vol 33 (4) ◽

pp. 676-689 ◽

Cited By ~ 20

Author(s):

David A. Fabry ◽

Dianne J. Van Tasell

Keyword(s):

Transfer Function ◽

Frequency Response ◽

Hearing Aids ◽

Background Noise ◽

Speech Intelligibility ◽

Hearing Aid ◽

Hearing Impaired ◽

Articulation Index ◽

Intelligibility Ratings ◽

High Pass

The Articulation Index (AI) was used to evaluate an “adaptive frequency response” (AFR) hearing aid with amplification characteristics that automatically change to become more high-pass with increasing levels of background noise. Speech intelligibility ratings of connected discourse by normal-hearing subjects were predicted well by an empirically derived AI transfer function. That transfer function was used to predict aided speech intelligibility ratings by 12 hearing-impaired subjects wearing a master hearing aid with the Argosy Manhattan Circuit enabled (AFR-on) or disabled (AFR-off). For all subjects, the AI predicted no improvements in speech intelligibility for the AFR-on versus AFR-off condition, and no significant improvements in rated intelligibility were observed. The ability of the AI to predict aided speech intelligibility varied across subjects. However, ratings from every hearing-impaired subject were related monotonically to AI. Therefore, AI calculations may be used to predict relative—but not absolute—levels of speech intelligibility produced under different amplification conditions.

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Application of Butterworth high pass filter as an approximation of Wood Anderson seismometer frequency response to earthquake signal recording

ACTA IMEKO ◽

10.21014/acta_imeko.v9i5.1005 ◽

2020 ◽

Vol 9 (5) ◽

pp. 379

Author(s):

Hamidatul Husna Matondang ◽

Endra Joelianto ◽

Sri Widiyantoro

Keyword(s):

Frequency Response ◽

Signal To Noise Ratio ◽

Cutoff Frequency ◽

Maximum Amplitude ◽

Second Order ◽

Pass Filter ◽

High Pass Filter ◽

Local Earthquake ◽

Seismic Magnitude ◽

High Pass

The method for generating maximum amplitude and signal to noise ratio values by using second order high pass Butterworth filter on local seismic magnitude scale calculations is proposed. The test data are signals from local earthquake that have been occurred in Sunda Strait on April 8th 2012. Based on the experimental results, a 8 Hz cutoff frequency and a gain of 2200 of second order Butterworth high pass filter as an approach to simulating the frequency response of Wood Anderson seismometer can provide maximum amplitude value, SNR, and the magnitude better than simulated Wood Anderson frequency response.

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Improving Efficiency of NPP Software Based I&C

Nuclear and Radiation Safety ◽

10.32918/nrs.2016.3(71).13 ◽

2016 ◽

pp. 71-76

Author(s):

H. Ukhina ◽

A. Bilenko ◽

V. Sytnikov

Keyword(s):

Transfer Function ◽

Frequency Response ◽

Digital Filters ◽

First Order ◽

Response Characteristics ◽

Function Coefficient ◽

Low Pass ◽

Frequency Response Characteristics ◽

Digital Components ◽

High Pass

The paper considers improving efficiency of NPP software based I&C during adjustment and readjustment of its characteristics. The research analyzes impact of transfer function coefficient of digital components on features of frequency-response characteristics, which shall be considered during design of software based I&C. The paper objective was to determine the numerator and denominator dependencies of transfer function of first order high-pass and low-pass digital filters of cut-off frequency, and also to determine dependencies on pulsation coefficient.

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Trombone Transfer Functions: Comparison Between Frequency-Swept Sine Wave and Human Performer Input

Archives of Acoustics ◽

10.2478/v10168-012-0056-x ◽

2012 ◽

Vol 37 (4) ◽

pp. 447-454

Author(s):

James W. Beauchamp

Keyword(s):

Transfer Function ◽

Transfer Functions ◽

Cutoff Frequency ◽

Sine Wave ◽

Nonlinear Propagation ◽

Linear Filter ◽

Wave System ◽

General Effect ◽

Filter Characteristic ◽

High Pass

Abstract Source/filter models have frequently been used to model sound production of the vocal apparatus and musical instruments. Beginning in 1968, in an effort to measure the transfer function (i.e., transmission response or filter characteristic) of a trombone while being played by expert musicians, sound pressure signals from the mouthpiece and the trombone bell output were recorded in an anechoic room and then subjected to harmonic spectrum analysis. Output/input ratios of the signals’ harmonic amplitudes plotted vs. harmonic frequency then became points on the trombone’s transfer function. The first such recordings were made on analog 1/4 inch stereo magnetic tape. In 2000 digital recordings of trombone mouthpiece and anechoic output signals were made that provide a more accurate measurement of the trombone filter characteristic. Results show that the filter is a high-pass type with a cutoff frequency around 1000 Hz. Whereas the characteristic below cutoff is quite stable, above cutoff it is extremely variable, depending on level. In addition, measurements made using a swept-sine-wave system in 1972 verified the high-pass behavior, but they also showed a series of resonances whose minima correspond to the harmonic frequencies which occur under performance conditions. For frequencies below cutoff the two types of measurements corresponded well, but above cutoff there was a considerable difference. The general effect is that output harmonics above cutoff are greater than would be expected from linear filter theory, and this effect becomes stronger as input pressure increases. In the 1990s and early 2000s this nonlinear effect was verified by theory and measurements which showed that nonlinear propagation takes place in the trombone, causing a wave steepening effect at high amplitudes, thus increasing the relative strengths of the upper harmonics.

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