Science and technology articles, English to Chinese, 300 words and 200 points

With the above factors in mind, we propose two high-efficiency techniques for designing 1-D and 2-D filters based on the decomposition of the amplitude specifications of the given 1-D and 2-D variables [3, 4]. These two techniques are computationally very efficient because they only require the design of a set of 1-d constant filters and about a few 1-d polynomials. In particular, these techniques ensure the stability of the filter that generates variables.

However, in the case of 2-d, the variable filter designed by this technique only has a quadrant symmetrical amplitude feature. That is, suppose that the inaudible ** is the amplitude specification of a given 2-d variable, the unclear ** and the unclear ** are the normalized frequencies, and the unclear ** is a vector with a true value for the spectral parameter. Technique [4] can only approximate the amplitude specification of a given 2-d variable in the following cases:

Unclear **] = [Unclear **] (1).

In order to avoid this difficulty, this paper proposes a new method for designing a 2-D variable digital filter with arbitrary amplitude characteristics. In other words, the technique can roughly estimate the amplitude specifications of the 2-D variable even in the following cases.

Unclear **] ≠ [unclear **] (2).

This technique is based on the decomposition of a given amplitude specification of a 2-d variable, and unlike the technique proposed in [4], it requires only a conventional 2-d constant filter design and a 1-d polynomial approximation. Because the 2-d constant filter is relatively easy to design with the existing design technology, the 1-d polynomial can also be easily estimated by solving the synchronous linear equation, which greatly simplifies the original 2-d variable filter design problem. In particular, it should be emphasized that this technique guarantees the stability of the generated 2-d variable filter as long as the design of the 2-d constant filter is stable.

This article gives an example to illustrate the effectiveness of the proposed technique.

Taking into account the above considerations, we propose two effective design techniques and two-dimensional variable filters, one of which is based on the decomposition of the one-dimensional and two-dimensional variable scale giving criteria [3]. This trick is very computationally efficient, as they only require a set of one-dimensional constant filters and a few one-dimensional polynomials to be approximated. Stable variable filters are guaranteed in specific technologies.

However, in the case of two-dimensional, the filtering technique of the variables designed in this way is limited to only quadrantally symmetrical size. That is, the variable size specification that is assumed to be two-dimensional, and the normalized frequency, is an element whose real value is a spectral parameter vector. This technique [4] can only roughly give the specifications of the two-dimensional variant.

1) In order to solve this difficult problem, a new method is proposed to design the arbitrary size and other characteristics of two-dimensional variable digital filters. In other words, the technology can approximate two-dimensional variable-size specifications though.

2) This technique is based on the decomposition given by the two-dimensional metamorphosis, which is characteristic of different specifications, and is proposed in [4], which requires only the design of a normal two-dimensional constant filter and the approximation of one-dimensional polynomials. From the two-dimensional constant filter is relatively easy to design, using the existing design technology and one-dimensional polynomial approximation can easily solve the synchronous linear equation system, the technology greatly simplifies the original two-dimensional variable filter design problem. In special cases, it should be emphasized that this technology can guarantee a stable 2D variable filter as long as the design of the 2D constant filter is stable.

Finally, a numerical example is given to illustrate the effectiveness of the proposed method.

2。Design issues.

In this section, we formulate a design problem that gives the arbitrary size of a two-dimensional variable-digital filter based on the proposed reaction product and an extended external variable size specification. Next, we first define an external product extension, and then compare it to the design problem of a 2D variable filter.

It is assumed that there is a variable-size specification of two dimensions, and the normalized frequency

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With the above in mind, we recommend two effective techniques for 1-d and 2-d variable filters, which are based on specific 1-d and 2-d variable specifications...

I can't...

With the above in mind, we propose two effective techniques for the design of one-dimensional and two-dimensional variable filters, which are based on decomposition considering the size specifications of one-dimensional and two-dimensional variables [3, 4] The techniques are very efficient for calculations because they only need to design a set of one-dimensional continuous approximations of several filters and one-dimensional polynomials.

In particular, the technology always guarantees the variables produced by a stable filter. However, in the two-dimensional case, the limitation of this technique for variable filter design is only the characteristic of the degree of quadrantally symmetry. That said, let's say this is a given 2D variable-level spec, where it is, normaliz

The frequency of the Education Department is a real value carrier, and its content is spectral parameters. Technique [4] can only approximate the case for a given two-dimensional variable size specification.

To circumvent this difficulty, this paper proposes a new method to design the arbitrary scale characteristics of two-dimensional variable digital filters. In other words, the technology can approximate two-dimensional variable-level specifications, even if:

This technique is based on decomposition to give a two-dimensional variable-level specification, which is different from the design proposed in [4] and requires only a normal two-dimensional constant filter design and a one-dimensional polynomial approximation.

Due to the continuous screening of two-dimensional equations, it is relatively easy to design, and the existing design techniques and one-dimensional polynomials can be easily approximated to solve the system of linear equations, and at the same time, the original two-dimensional variable filter design problem is greatly simplified. In particular, it should be emphasized that this technique can guarantee the stability of the filter caused by two-dimensional variables, as long as the purpose of the two-dimensional constant filter is stable. An example illustrates the effectiveness of the proposed method.

2 。Formulation design issues.

In this section, we formulate a question to design a 2D variable digital filter at any scale based on the newly proposed product expansion to give 2D variable size specifications. Next, let's first define an external product extension, and then design the problem with it with a 2D variable filter.

Suppose this is a given 2D variable-level specification, where it is the normal frequency.

Give it to me, thank you.

With the development of the times, the process of world economic integration is gradually accelerating, market competition is becoming increasingly intensified, and many enterprises are facing more and more severe crises and challenges. In order to gain an advantage in such a complex and changeable market competition and seek survival and development, cost management has become the top priority of enterprise development. The traditional cost management method, which is a value model based on a single accounting information, is no longer suitable for the needs of the globalized economy as we move towards the 21st century.

Enterprise cost management itself is facing profound reform, how to do a good job in cost management, has become the key to whether enterprises can maximize the use of resources, and then make profits. This paper adopts a systematic research method, on the basis of drawing on relevant literature at home and abroad, starts from the analysis of the connotation of enterprise cost management, expounds the important role of enterprise cost management in enterprise development, points out the problems existing in the current situation of traditional enterprise cost management and the development trend and characteristics of enterprise cost management in the new era, puts forward the countermeasures and methods for strengthening enterprise management in view of related problems, and puts forward feasible suggestions for enterprise cost management under the current economic crisis.

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