Results 231 to 240 of about 7,347,166 (286)

Preamble-Aided Receiver for OFDM Recovery Under Structured FMCW Interference in Co-Channel Sensing-Communication Systems. [PDF]

Sensors (Basel)
Liu Z.
europepmc   +1 more source

Inferring the causes of noise from binary outcomes: A normative theory of learning under uncertainty. [PDF]

Psychol Rev
Fang X, Piray P.
europepmc   +1 more source

System-Level Hardware-Waveform Co-Design for Micro-UAV Radar Sensors: Suppressing Noise Folding in Extreme SWaP-C SSDBF Arrays. [PDF]

Sensors (Basel)
Dai X, Xie K, Wang Y.
europepmc   +1 more source

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Finite Impulse Response Filters

Signals and Communication Technology, 2011
Digital finite impulse response (FIR) filters produce output signal realizing weighting sum of actual and preceding input signal samples.
Waldemar Rebizant, Janusz Szafran, Andrzej Wiszniewski   +2 more
exaly   +2 more sources

VLSI Architectures for the Finite Impulse Response Filter

IEEE Journal on Selected Areas in Communications, 1986
We review the various VLSI architectures that have been proposed for the finite impulse response filter problem. In addition, new architectures are proposed and improved designs for some of the earlier architectures are developed.
S Sahni
exaly   +2 more sources

Interpolated Finite Impulse Response Filters

IEEE Transactions on Acoustics, Speech, and Signal Processing, 1984
A 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
exaly   +2 more sources

Finite impulse response filters

2021
An 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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Growing filters for finite impulse response networks

Proceedings of ICNN'95 - International Conference on Neural Networks, 2002
Time-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, Nijhuis, JAG, Venema, RS, Spaanenburg, L   +3 more
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Switched-capacitor finite impulse response rotator filter

2020 Signal Processing: Algorithms, Architectures, Arrangements, and Applications (SPA), 2020
Design 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, Rafal Dlugosz, Adam Dabrowski   +2 more
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Design of finite impulse response deconvolution filters

Applied Optics, 2010
This 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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