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Taking above into account, we have proposed two efficient techniques for the design of 1-D and 2-D variable filters, which are based on the decomposition of the given 1-D and 2-D variable magnitude specifications [3, 4].
请考虑一下，我们假设用两种有效的方法来设计线形（1－D）的和平面（2－D）可变滤波器，这是根据给定的1－D与2－D可变幅度技术条件[3, 4]分解的。
The techniques are very computationally efficient because they solely need designing a set of 1-D constant filters and approximating several 1-D polynomials.
由于完全依赖设计一套1－D常量滤波器以及近似于数个1－D多项式，本技术是很有计算效率的。
In particular, the techniques can always guarantee the stability of the resulting variable filters.
特别是，本技术始终能够保证可变滤波器结果稳定性。
However, in the 2-D case, the variable filters designed by such a technique are constrained to only have quadrantally symmetrical magnitude characteristics.