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First, a statistically optimum fixed filter is designed assuming that the channel is known.
The filter is decoupled from the grid, making it possible to obtain grid independent solutions with a fixed filter scale.
Then, it is shown via computer simulations that its performance is very close to that of the statistically optimum fixed filter.
Then, for fixed filter the optimization problem (8) is convex in the powers and can be solved efficiently by using standard numerical methods [23].
The aim of AMULW is to address the disadvantages both from the linear wavelet decomposition and from the fixed filter in AULW and MW.
The current morphological wavelet technologies utilize a fixed filter or a linear decomposition algorithm, which cannot cope with the sudden changes, such as impulses or edges in a signal effectively.
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Passive cooling of the focal plane, fixed solar panels, fixed filters, and fixed antenna for telemetry simplify the mission.
Grouping is an adaptive processing rather than a changeless operation, such as definite length window or some fixed filtering traces.
However, the fixed filters restrict flexibility of the receiver, which cannot be suited for more channel transmission.
In order to cancel the acoustical echo efficiently, various processing architectures including fixed filters, hybrid processors, and sub-band structure are investigated.
Nonetheless, the ERLE performance during double-talk periods can be simulated by performing AEC on single-talk recordings with previously determined fixed filters (as will be done in Section 5.2.3 in experiment 2).
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