A new calculation method for the design of filters by digital computer with the special consideration of the accuracy problem

1963 ◽  
Vol 51 (3) ◽  
pp. 517-517 ◽  
Author(s):  
T. Iedokoro ◽  
T. Tsuchiya ◽  
H. Watanabe
Keyword(s):  
Calculation Method ◽  
Digital Computer ◽  
Special Consideration ◽  
Accuracy Problem

Calculation of the Compression Index in Reciprocating Engines Using Gaseous Fuels

1966 ◽  
Vol 8 (3) ◽  
pp. 246-251 ◽  
Author(s):  
W. J. D. Annand
Keyword(s):  
Heat Transfer ◽  
Calculation Method ◽  
Digital Computer ◽  
Approximate Calculation ◽  
Computer Integration ◽  
Compression Index ◽  
First Law Of Thermodynamics ◽  
Gaseous Fuels ◽  
Reciprocating Engines ◽  
The Common

Some values of the compression index obtained by digital-computer integration of the first law of thermodynamics, with allowance for variable gas properties and for heat transfer between charge and walls, are first presented and discussed. These show the effects of some of the common fuel gases, and the changes produced by variations of engine geometry and running conditions. An approximate calculation method suitable for manual computation is also described.

COMPUTER‐DESIGNED WIENER FILTERS FOR SEISMIC DATA

Geophysics ◽  
1972 ◽  
Vol 37 (2) ◽  
pp. 235-259 ◽  
Author(s):  
John C. Robinson
Keyword(s):  
Seismic Data ◽  
Digital Computer ◽  
Wiener Filter ◽  
Time Dependent ◽  
Special Consideration ◽  
Frequency Content ◽  
Spatial Range ◽  
Wiener Filters ◽  
Data Windows ◽  
Finite Data

This paper is concerned with differences in the frequency content of signal and noise on seismic traces. In order to develop a filter which has applicability over some considerable spatial range, special consideration is given to basic differences in the shape and the frequency content of individual signal and noise wavelets (events) on these traces. Therefore, a so‐called “wavelet” Wiener filter is introduced which suppresses “noise” wavelets and enhances “signal” wavelets; this filter can be contrasted with an ordinary Wiener filter which discriminates between signal and noise on the additional basis of the statistics of the repetition of wavelets along the seismic trace. A technique for the automatic derivation of (wavelet) Wiener filters for seismic data by a digital computer is developed. The filters are time dependent to the extent that independent filters are derived at a sequence of data windows which are specified by the operator; criteria for selecting the window positions are given. The overall technique for the computer derivation of Wiener filters is demonstrated with synthetic and actual seismic data. A discussion of the wavelet Wiener filter and its relation to the ordinary Wiener filter is appended to this paper with a discussion of the effects of finite data windows on the eduction of the wavelet Wiener filter.

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