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Finite Impulse Response Filters
2021An electrical filter modifies the spectrum of the signal in a desired way. In this chapter, Finite Impulse Response Filters, one type of filter called the FIR filter is designed and analyzed. The FIR filters can be designed easily with linear-phase response, which is desired in a variety of applications such as image processing.
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Interpolated finite impulse response filters
IEEE Transactions on Acoustics, Speech, and Signal Processing, 1984A new approach to implement computationally efficient finite impulse response (FIR) digital filters is presented. The filter structure is a cascade of two sections. The first section generates a sparse set of impulse response samples and the other section generates the remaining samples by using interpolation.
Y. Neuvo, null Dong Cheng-Yu, S. Mitra
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Finite Impulse Response Filters
2011Digital finite impulse response (FIR) filters produce output signal realizing weighting sum of actual and preceding input signal samples.
Waldemar Rebizant +2 more
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Switched-capacitor finite impulse response rotator filter
2020 Signal Processing: Algorithms, Architectures, Arrangements, and Applications (SPA), 2020Design of the topology and layout for an analog finite impulse response (FIR) filter realized in the CMOS technology using the switched capacitor (SC) technique, is presented. The filter is based on the so called “rotator structure” supplemented with the programmable capacitor array.
Pawel Pawlowski +2 more
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Finite impulse response digital filters
1999The recursive filters of Chapter 5 are very efficient structures for achieving steep-sided filter designs, with low transition bandwidth. However, in many situations, their poor phase response is a severe limitation. Finite impulse response (FIR) filters are nonrecursive, making them unconditionally stable, and further they offer the possibility of ...
Bernard Mulgrew +2 more
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Integrated optics implementation of finite impulse response filters
Applied Optics, 1990A detailed analysis of an integrated optical finite impulse response filter architecture is presented. The output signal attenuation caused by the light propagation loss in a LiNbO(3) waveguide, and the diffracted light pulse time dispersion due to the tilted position of device electrooptic gratings, are analyzed.
E, Anemogiannis, R P, Kenan
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Input Shaping Using Finite Impulse Response Filters
Proceedings of the 45th IEEE Conference on Decision and Control, 2006The use of input shapers in control system design helps to decrease the overshoot and the settling time of underdamped dynamic systems. This paper discusses the use of Finite Impulse Response (FIR) Filters as input shapers for under-damped systems. Three specific FIR filters were studied.
Jouaneh, Musa K., Anderson, Erik
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Finite Impulse Response Filters
2013Filtering means preserving certain favored signal frequencies without distorting them while simultaneously suppressing others. Although there are many, many approaches to digital filtering, we focus on Finite Impulse Response (FIR) filters. As the name suggests, these filters have no feedback loops, which means that they stop producing output when the ...
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Design of finite impulse response deconvolution filters
Applied Optics, 2010This paper describes inverse filters that restore imagery with minimal artifacts. Deconvolution kernels are obtained by windowing Wiener-type inverse filters (WTIFs). Windowed WTIFs exhibit good restoration properties. Constraining the size of the WTIF kernel is necessary because of the edge effects associated with discrete convolutions.
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Growing filters for finite impulse response networks
Proceedings of ICNN'95 - International Conference on Neural Networks, 2002Time-delay neural networks are well-suited for prediction purposes. A particular implementation is the finite impulse response (FIR) neural net. A major design problem exists in establishing the optimal order of such filters while minimizing the number of weights. Here, a constructive solution inspired by cascade learning is outlined and illustrated by
Diepenhorst, M +3 more
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