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Karatsuba implementation of FIR filters
2012 Conference Record of the Forty Sixth Asilomar Conference on Signals, Systems and Computers (ASILOMAR), 2012In this paper, the authors propose the implementation of a programmable Finite Impulse Response (FIR) filter based on the use of the Karatsuba formula. The Karatsuba formula is used to speed-up the multiplication of large numbers by splitting the operands in two parts of equal length.
Pietro Albicocco +3 more
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Optimal Factoring of FIR Filters
IEEE Transactions on Signal Processing, 2015New insights suggest that the most efficient FIR digital filters can be created by using a scaled sequence of stages, each representing a factor of the filter's transfer function. A crucial capability for building such filters concerns finding the best FIR filter factors, then carefully scaling and sequencing them.
Alireza Mehrnia, Alan N. Willson Jr.
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Signal Processing, 1997
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
José I. Acha, Rubén Martín-Clemente
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zbMATH Open Web Interface contents unavailable due to conflicting licenses.
José I. Acha, Rubén Martín-Clemente
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IEEE Transactions on Acoustics, Speech, and Signal Processing, 1988
An optimum finite impulse response (FIR) filter bank is derived that recovers a desired signal from an array of sensors in the presence of random sensor noise and one or more coherent interfering noise sources. The required filter order is determined by the relative delays between the signal and coherent noise at each sensor, and is independent of the ...
Darrell Williamson +2 more
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An optimum finite impulse response (FIR) filter bank is derived that recovers a desired signal from an array of sensors in the presence of random sensor noise and one or more coherent interfering noise sources. The required filter order is determined by the relative delays between the signal and coherent noise at each sensor, and is independent of the ...
Darrell Williamson +2 more
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Neural filters: a class of filters unifying FIR and median filters
[Proceedings] ICASSP-92: 1992 IEEE International Conference on Acoustics, Speech, and Signal Processing, 1992A new class of nonlinear filters called neural filters based on the threshold decomposition and neural networks is introduced. Neural filters can approximate both linear finite impulse response (FIR) filters and weighted order statistic (WOS) filters which include median, rank order, and weighted median filters.
Lin Yin, Jaakko Astola, Yrjö Neuvo
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Stability of adaptive FIR filters
ICASSP-88., International Conference on Acoustics, Speech, and Signal Processing, 2003Svoboda's matrix inversion algorithm is used to analyze the adaptive FIR (finite-impulse response) filter. To get stable response, conditions of convergence and solvability have to be met. They determine the maximum correction step of the adaptive loop, the lower bound of the norm of output signal vector and the statistical properties of the reference ...
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2007
IIR filters can give the same magnitude performance with fewer parameters than FIR filters. However, they cannot have exact linear phase. Their design is more complicated due to the difficulty in ensuring stability and to the non-convexity of the optimization problems.
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IIR filters can give the same magnitude performance with fewer parameters than FIR filters. However, they cannot have exact linear phase. Their design is more complicated due to the difficulty in ensuring stability and to the non-convexity of the optimization problems.
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ICASSP '85. IEEE International Conference on Acoustics, Speech, and Signal Processing, 1985
Given a tissue of suitable size one may program the tissues cells so that it implements any FIR filter. The parameters of such a tissue program are: the number of taps, the tap values, the word sizes (input, ou tput, and internal), and the type of arithmetic (twos complement, one's complement, or sign-magnitude). The FIR tissue thus is versatile.
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Given a tissue of suitable size one may program the tissues cells so that it implements any FIR filter. The parameters of such a tissue program are: the number of taps, the tap values, the word sizes (input, ou tput, and internal), and the type of arithmetic (twos complement, one's complement, or sign-magnitude). The FIR tissue thus is versatile.
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Sharpened raised-cosine FIR filters
2018 41st International Convention on Information and Communication Technology, Electronics and Microelectronics (MIPRO), 2018Shaping of transition bands in the ideal frequency response allows the analytic design of least-squares FIR filters with a direct control of the transition-band edges. The basic least-squares approximation is obtained by the Fourier series method. In this paper, we use it to develop a straightforward method for the design of steep roll-off FIR filters.
Molnar, Goran +2 more
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Implementation of a frequency FIR filter as 2D-FIR filter based on FPGA
2015 AI & Robotics (IRANOPEN), 2015In this paper, it is tried to transfer one of the powerful tools for image processing from the frequency domain to spatial domain. In which the frequency concepts is used in the field of image processing based on FPGA. The process is as follows that first a low-pass FIR filter in frequency domain is designed and then it is transferred from frequency ...
Ahmad Fakharian, Saeed Badr, Mohsen Abdi
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