Gravity anomaly separation by Wiener filtering

Geophysics ◽  
1990 ◽  
Vol 55 (5) ◽  
pp. 539-548 ◽  
Author(s):  
R. S. Pawlowski ◽  
R. O. Hansen

We introduce a gravity anomaly separation method based on frequency‐domain Wiener filtering. Gravity anomaly separation can be effected by such wavelength filtering when the gravity response from the geologic feature of interest (the signal) dominates one region (or spectral band) of the observed gravity field’s power spectrum. The Wiener filter is preferable to a conventional band‐pass filter because geologic information from the study area can be incorporated to a greater extent in specifying the filter’s transfer function. Our method differs from previous Wiener filtering schemes in that it provides, through direct modeling of known geology (e.g., outcrop and borehole data), a more objective estimate of the signal power spectrum required for defining the transfer function of the filter. We illustrate the technique first with synthetic data, and then with a field example from the southern Paradox basin. The Paradox basin example reveals the limitation inherent to all wavelength filtering which results from spectral overlap between the gravity signal and the spectral contributions of other geologic sources. In the study area, significant spectral overlap occurs between the gravity effects of sources in the Precambrian basement and the gravity signal arising from the density contrast across the Mississippian‐Pennsylvanian interface.

1964 ◽  
Vol 54 (5A) ◽  
pp. 1479-1489
Author(s):  
S. Dopp

Abstract Communication network theory is applied to the equivalent circuit of the electromagnetic seismograph. The seismograph's transfer function is derived in the general case of an arbitrary linear passive coupling network between pendulum and galvanometer. Examples are given, one of which refers to the construction of a band-pass filter in the form of a lattice of filter galvanometers.


2013 ◽  
Vol 380-384 ◽  
pp. 3300-3303
Author(s):  
Ming Yuan Ren ◽  
Li Tian ◽  
Wei Wang ◽  
Xiao Wei Liu ◽  
Zhi Gang Mao

This paper presents a photoelectric detection circuit for microfluidics chip. The proposed photoelectric detection system can reduce noise and increase sensitivity. It is consist of pre-amplifier, ac-amplifier and band-pass filter. The transfer function of photoelectric detection circuit is introduced. The circuit implementations and simulation results are given. The proposed photoelectric detection circuit is suitable for integrated microfluidics chip.


Author(s):  
Simon Gövert ◽  
Virginia Fratalocchi ◽  
Jim B. W. Kok

The combustion dynamics of thermo-acoustic systems like gas turbine combustors at elevated pressure and atmospheric industrial furnaces can be studied using a forced response approach. In this approach, the flame is excited by external perturbation of the upstream fuel or air mass flow. The flame transfer function can then be determined, which describes the response of the heat release rate in the combustor or furnace to the upstream velocity fluctuations. Subsequently, the flame transfer function can be used as an input for acoustic network models to further analyze the stability behavior of a given combustion system. Most of the applications of the flame transfer function analysis are for natural gas fired systems with dimensions such, that most of the relevant combustion dynamics is in the frequency range 100–500 Hz. The situation is different for hot blast stoves as used in the iron making process. Here the fuel is low calorific coal gas and the dimensions of the stove are huge, with heights of 30 m at a diameter of 5 m. This leads to a relevant frequency range for the combustion dynamics in interaction with acoustics of about 3–80 Hz. In order to cope with this combination of a large computational domain and extreme low frequent combustion dynamics in the response simulation, special attention was devoted to computational efficiency. In order to allow for a sufficient mesh resolution to capture the combustion characteristics while keeping the computational demands in a feasible range, the computational domain is to be drastically reduced by the use of symmetry assumptions. In a first step, the mesh dependency is studied and different combustion models are analyzed for a reference geometry on the basis of steady states results. The burning velocity model with adapted laminar flame speed description is subsequently chosen for the transient simulations. Transient numerical simulations are performed using a URANS turbulence model. The combustor is excited by a multi-harmonic perturbation of the fuel mass flow, to further reduce computational time. The flame transfer function is determined and compared for two different burner designs. The results show significant impact of combustor design on the acoustic behavior and combustion time scales. While the reference design acts like a low pass filter with a cut-off frequency of about 6 Hz, the modified design shows band-pass filter characteristics with a lower and higher cut-off frequency of 30 and 60 Hz, respectively.


Geophysics ◽  
1994 ◽  
Vol 59 (1) ◽  
pp. 69-76 ◽  
Author(s):  
Robert S. Pawlowski

Green’s concept of an equivalent‐source layer is invoked to construct a data adaptive, zero‐phase, Wiener band‐pass filter for regional‐residual gravity anomaly separation. The observed gravity field’s Fourier power spectrum is modeled with two Green’s equivalent‐source layers, one equivalent layer for the shallower (residual field) geologic sources, and a second equivalent layer for the deeper (regional field) geologic sources. The depths and average physical property contrasts of the two equivalent layers are determined by fitting the observed gravity field’s Fourier power spectrum with a two‐layer spectral model. Each equivalent layer is simulated by a horizontal thin sheet with randomly varying and randomly distributed point density sources spread throughout it. Adopting such a theoretical model for the Fourier power spectrum yields a stable and well‐behaved filter transfer function. Like all band‐pass filtering though, the method is ineffective in the case of insufficient vertical separation between the shallow and deep geologic sources whose gravity anomalies it is desired to separate. The filter design process is simple and easily automated, being well‐suited for modular implementation in a “filter tool kit” applications program running on either a workstation or personal computer. Equally important, the method yields repeatable, interpreter‐independent results.


2019 ◽  
Vol 7 ◽  
Author(s):  
Peng Qin ◽  
Sijia Wang ◽  
Minglie Hu ◽  
Youjian Song

Fluctuation of pump power is one of the major sources of temporal and intensity noise in femtosecond fiber lasers. In this work, the transfer functions between the relative intensity noise (RIN) of the pump laser diode (LD) and the output RIN, between the RIN of the pump LD and timing jitter of femtosecond fiber lasers are systematically studied. It is demonstrated, for the first time to our knowledge, that the amplitude of the pump RIN transfer function can be effectively decreased by an intra-cavity narrow band-pass filter. In particular, for normal-dispersion lasers, the 3-dB bandwidth of the transfer function can also be narrowed by two-thirds, with a steeper falling edge. Furthermore, with the narrow band-pass filtering, the transfer function is almost independent of the net intra-cavity dispersion due to amplifier similariton formation. The proposed scheme can effectively isolate the pump-induced noise without the need of complex active pump LD control and intra-cavity dispersion management, thus providing an easy way for practical high-power, high-stability femtosecond fiber laser design and related high-precision applications outside the laboratory.


2007 ◽  
Vol 16 (04) ◽  
pp. 553-566 ◽  
Author(s):  
AHMED M. SOLIMAN

A new current-mode band-pass filter using the inverting second-generation current conveyor (ICCII) is introduced. The circuit is generated from a frequency-dependent negative resistance (FDNR)-C circuit realized using ICCII+. It is observed that a voltage-mode band-pass filter using two CCII+ has similar transfer function to this current-mode filter. The adjoint network theorem is used to demonstrate the transformation between the two circuits. Two new voltage-mode grounded capacitor band-pass filters using two ICCII are also introduced. The first voltage-mode circuit is generated from the FDNR-C circuit and employs two opposite Z polarity ICCII. The second voltage-mode circuit is obtained from the first circuit by relocation of the input and a grounded terminal. Two new additional grounded capacitor and grounded resistor current-mode band-pass filters with independent control on the filter Q are also introduced. Spice simulation results with 0.35 μm CMOS transistors model are included to demonstrate the practicality of the two ICCII- band-pass current-mode filter.


Author(s):  
Joachim Frank

Cryo-electron microscopy combined with single-particle reconstruction techniques has allowed us to form a three-dimensional image of the Escherichia coli ribosome.In the interior, we observe strong density variations which may be attributed to the difference in scattering density between ribosomal RNA (rRNA) and protein. This identification can only be tentative, and lacks quantitation at this stage, because of the nature of image formation by bright field phase contrast. Apart from limiting the resolution, the contrast transfer function acts as a high-pass filter which produces edge enhancement effects that can explain at least part of the observed variations. As a step toward a more quantitative analysis, it is necessary to correct the transfer function in the low-spatial-frequency range. Unfortunately, it is in that range where Fourier components unrelated to elastic bright-field imaging are found, and a Wiener-filter type restoration would lead to incorrect results. Depending upon the thickness of the ice layer, a varying contribution to the Fourier components in the low-spatial-frequency range originates from an “inelastic dark field” image. The only prospect to obtain quantitatively interpretable images (i.e., which would allow discrimination between rRNA and protein by application of a density threshold set to the average RNA scattering density may therefore lie in the use of energy-filtering microscopes.


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