Results 261 to 270 of about 320,258 (311)
Baseflow Separation Using the Digital Filter Method: Review and Sensitivity Analysis
Water (Switzerland), 2022 The baseflow separation method based on a digital filter is a simple method for separating the baseflow from streamflow. Appropriate estimation of filter parameters is required to use the digital filter method for analysis.
Taeuk Kang, Sangho Lee, Namjoo Lee
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Some of the next articles are maybe not open access.
Journal of VLSI signal processing systems for signal, image and video technology, 2002
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
L. Breveglieri, V. Piuri
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zbMATH Open Web Interface contents unavailable due to conflicting licenses.
L. Breveglieri, V. Piuri
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Method to convert analog filters to digital filters
2013 8th International Symposium on Image and Signal Processing and Analysis (ISPA), 2013The analog filters are usually converted to IIR digital filters using appropriate transformation of system function from s-domain to z-domain. Recently another approach of converting an analog filter described by a diagram or a netlist to a digital filter has been proposed.
Lacrimioara Grama +3 more
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Design of Digital Notch Filters
IEEE Transactions on Communications, 1974It is shown that a second-order digital notch filter is uniquely characterized by two distinct parameters, the notch frequency and the 3-dB rejection bandwidth. As a result, such a filter can be realized using only two multipliers. Methods are outlined to design a notch filter for a prescribed notch frequency and a prescribed 3-dB rejection bandwidth ...
Kotaro Hirano +2 more
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2014
Digital filtering is the process of transforming a discretely sampled input signal into an output signal, such that certain spectral characteristics of the input signal are lost, while others are retained. In neuroscience, it is performed on time series that represent electrophysiological or hemodynamic signals measured over time.
Meij, R. van der, Schoffelen, J.M.
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Digital filtering is the process of transforming a discretely sampled input signal into an output signal, such that certain spectral characteristics of the input signal are lost, while others are retained. In neuroscience, it is performed on time series that represent electrophysiological or hemodynamic signals measured over time.
Meij, R. van der, Schoffelen, J.M.
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The Synthesis of Recursive Digital Filters
Journal of the ACM, 1966The circumstances and methods of the synthesis of linear digital recursive filters which are both stable and physically realizable are described. It is shown that any amplitude requency transfer function expressible as an even trigonometric rational polynomial can be synthesized by a real stable linear digital recursive filter.
Howard Holtz, Cornelius T. Leondes
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Digital Filtering of Random Digits
SIAM Journal on Numerical Analysis, 1970Digital simulation of linear filter, investigating noise and rounding errors effects on decoding signals from lunar and interplanetary ...
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On Exponential Digital Filters
Journal of the ACM, 1959This paper derives the weighting sequence of a linear digital filter whose output is an estimate of the predicted values of the derivatives of the input. The input functions considered are arbitrary linear combinations of n + 1 known functions, plus a random stationary signal and a random stationary noise component.
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1986
In this paper we take a first step in the study of VLSI realizations of digital filtering. For increasing input rate. processing is feasible only by resorting to massive parallelism, i.e., to an nq-th extension of the original order-n filter. We show that the operation is reducible to convolutions with fixed n-vectors and propose to realize the ...
Gianfranco Bilardi, Franco P. Preparata
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In this paper we take a first step in the study of VLSI realizations of digital filtering. For increasing input rate. processing is feasible only by resorting to massive parallelism, i.e., to an nq-th extension of the original order-n filter. We show that the operation is reducible to convolutions with fixed n-vectors and propose to realize the ...
Gianfranco Bilardi, Franco P. Preparata
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IFAC Proceedings Volumes, 1982
Abstract Multirate filtering arises naturally in digital signal processing as an adaptation of the sampling rate to the banwidth of the signal at each step of the processing. It results in a significant reduction of machine complexity in many cases of practical importance.
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Abstract Multirate filtering arises naturally in digital signal processing as an adaptation of the sampling rate to the banwidth of the signal at each step of the processing. It results in a significant reduction of machine complexity in many cases of practical importance.
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