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Universal Switching FIR Filtering
IEEE Transactions on Signal Processing, 2012We 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,
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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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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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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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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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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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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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