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Universal Switching FIR Filtering

IEEE Transactions on Signal Processing, 2012
We revisit recently considered universal finite-impulse-response (FIR) filtering problem and devise a scheme that asymptotically attains the expected mean-square error (MSE) of the best switching FIR filters for every underlying bounded, real-valued signal, provided that the switch rate of the best filters are sufficiently slow. As a performance metric,
openaire   +1 more source

FIR Adaptive Filters

2021
In this chapter we learn about adaptive filters that change their weights during work, from sample to sample. The filters use different adaptation equations, resulting from choice of different cost functions that are minimized during signal processing.
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Realization of FIR Filters

2020
In this chapter, we discuss efficient realization of FIR filters. First, we focus on nonrecursive structures with linear-phase response and their realisation using direct form, transposed form, cascade form, and delay-complementary FIR filter pairs. Recursive structures like Lagrange and running-sum structures are also discussed.
Lars Wanhammar, Tapio Saramäki
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FIR Digital Filters

2021
FIR digital filters are discussed in this chapter. We learn the following frequency pass-and-stop filter design approaches: window method, inverse DFT method, weighted least-squares technique, and Parks-McMillan min-max equiripple design. We write Matlab programs implementing most of the discussed methods.
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Analog FIR filter

2022
HERAGU SINGAIYENGAR ARAVIND PRASAD   +1 more
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Universal FIR MMSE Filtering

IEEE Transactions on Signal Processing, 2009
Taesup Moon, Tsachy Weissman
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FIR Filters

2005
M Er   +5 more
openaire   +1 more source

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