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Therefore, the lattice filter model is a useful abstraction that may help unravel visual system function.
In addition, we propose that the LGN STRFs are obtained in a stage-wise manner modeled by a lattice filter.
Indeed, operation of the lattice filter is consistent with several physiological measurements in LGN neurons and fruit fly LMCs.
Lower sensitivity is obtained using series low-order sections (e.g., second order), or by using ladder or lattice filter structures.
In this paper, we propose to use the lattice filter for the MST analysis step.
The adaptation rules depend on the identified system dynamics through an adaptive lattice filter.
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In summary, nested first-order allpass filters are equivalent to lattice filters made of two-multiply lattice sections.
The equivalence of nested allpass filters to lattice filters has computational significance since it is well known that the two-multiply lattice sections can be replaced by one-multiply lattice sections [300,318].
A design method for wave digital lattice filters is presented which yields filters with maximally flat magnitude behaviour in the passband, equiripple in the stopband, and nearly constant group delay over the entire frequency range.
It will be demonstrated, that the use of cascaded low-order wave digital lattice filters results in a number of advantages and makes a very efficient realization in VLSI-technology feasible.
For example, in Boolean algebras and Heyting algebras these sets are the lattice filters and in modal algebras they are the lattice filters that are closed under the operation that interprets □.
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