1. A functional adhesive comprising a flavonoid-based compound, a polyphenol-based compound, a steroid-based compound or a mixture thereof, wherein the flavonoid-based compound, the polyphenol-based compound, or the steroid-based compound has a molecular weight of 250 to 1000 gramsmole.
2. The functional adhesive of claim 1, wherein the flavonoid-based compound or the polyphenol-based compound contains at least one compound selected from the group consisting of anthoxanthin, anthocyanin, catechin, tannin, and caffeine.
3. The functional adhesive of claim 1, wherein the steroid-based compound contains at least one compound selected from the group consisting of cholesterol, saponin, and \u03b2-carotene.
4. The functional adhesive of claim 1, wherein the amount of the flavonoid-based compound, the polyphenol-based compound or the steroid-based compound is in the range of 0.01 to 2% by weight based on the total amount of the functional adhesive.
5. The functional adhesive of clam 1, wherein the amount of the flavonoid-based compound, the polyphenol-based compound or the steroid-based compound is in the range of 0.5 to 2% by weight based on the total amount of the functional adhesive.
6. The functional adhesive of claim 1, wherein the flavonoid-based compound or the steroid-based compound is obtained from natural plants.
7. The functional adhesive of claim 6, wherein the natural plants include at least one plant selected from the group consisting of an oak tree, a mangrove tree, a mahogany tree, an acacia tree, a persimmon tree, a chestnut shell, a peach, an apple, a grape, a persimmon, green tea, black tea, oolong tea, jasmine tea, bohea tea, tieguanyin tea, Bongro tea, Youbi tea, Soosun tea, Ogo tea, white tea, blue tea, powdered green tea, cassia tea, tobacco leaf, angelica keiskei, kale, coffee, and barley.
8. The functional adhesive of claim 6, wherein the flavonoid-based compound, the polyphenol-based compound or the steroid-based compound is in the form of dried powder, a suspension of a dried powder, flakes, an extract, or a dried powder of the extract of the natural plant.
9. The functional adhesive of claim 8, wherein the particle size of the dried powder and the thickness of the flakes of the natural plant are in the range of 20 to 150 \u03bcm.
10. The functional adhesive of claim 8, wherein the amount of the dried powder and the flake of the natural plant is in the range of 1 to 10% by weight based on the total amount of the functional adhesive.
11. The functional adhesive of claim 8, wherein the solvent used for the extract or the suspension of the dried powder of the natural plant includes at least one solvent selected from the group consisting of water, alcohol, oil, and resin.
12. The functional adhesive of claim 1 comprising main components and additives,
wherein the main components comprise at least one resin selected from the group consisting of a polyvinylacetate-based resin, an ethylenevinylacetate-based resin, a melamin-based resin, a urea-based resin, a phenol-based resin, a urethane-based resin, an epoxy-based resin, an acryl-based resin, a silica-based resin, and a hardener, and
the additives comprise at least one additive selected from the group consisting of a filler, a stabilizer, an anti-foaming agent, a dispersing agent, and a flatting agent.
13. The functional adhesive of claim 1, wherein the main components comprise 90% by weight of a polyvinylacetate-based resin and 10% by weight of an isocyanate-based hardener (MDI), the filler is flour, and the flavonoid-based compound, the polyphenol-based compound, the steroid-based compound or the mixture thereof is comprised in a green tea leaf powder, and the functional adhesive comprises 81.8 to 96.8% by weight of the main components, 0.7 to 8.2% by weight of the flour, and 2.5 to 10% by weight of the green tea leaf powder.
14. The functional adhesive of claim 1 used to provide an adhesive force to the surface of at least one construction material selected from the group consisting of a film, a door, a window, a chair, a desk, a floor, wall paper, a material for a ceiling, a material for a closet and a flooring material.
15. A construction material to which the functional adhesive of claim 1 is applied.
16. A method of preparing a functional adhesive comprising:
grinding a dried plant and selecting a micropowder having a particle size of 20 to 150 \u03bcm,
reacting and melting adhesive raw materials including main component resins by heating;
sufficiently mixing the micropowder with a filler; and
dispersing the mixed powder in the adhesive raw materials such that the amount of the mixed powder is 1 to 10% by weight based on the total amount of the functional adhesive.
17. The method of claim 16, wherein a natural plant extract, a dried powder of an extract of a natural plant or a suspension of the micropowder is added to the functional adhesive raw materials instead of the micropowder.
18. The method of claim 16, wherein the natural plant includes at least one plant selected from the group consisting of an oak tree, a mangrove tree, a mahogany tree, an acacia tree, a persimmon tree, a chestnut shell, a peach, an apple, a grape, a persimmon, green tea, black tea, oolong tea, jasmine tea, bohea tea, tieguanyin tea, Bongro tea, Youbi tea, Soosun tea, Ogo tea, white tea, blue tea, powdered green tea, cassia tea, tobacco leaf, angelica keiskei, kale, coffee, and barley.
The claims below are in addition to those above.
All refrences to claim(s) which appear below refer to the numbering after this setence.
1. An adaptive filter for filtering an input signal, the filter comprising:
a filter coefficients storage unit configured to store filter coefficients;
a filter coefficients determination unit configured to determining adapted filter coefficients based on the filter coefficients, an error signal and a step-size parameter; and
a step-size parameter control unit configured:
to determine a channel variation quantity based:
on a variation of a filter coefficient stored in the filter coefficient storage unit; and
on an auxiliary quantity based on a scalar product of a vector of filter coefficients from a first timing for the auxiliary quantity and a vector of filter coefficients from a second timing for the auxiliary quantity; and
to determine the step-size parameter based on the channel variation quantity.
2. The adaptive filter of claim 1 wherein the step-size parameter control unit is configured to determine the auxiliary quantity on the basis of a fraction value having an absolute value of the scalar product of a vector of filter coefficients from the first timing for the auxiliary quantity and a vector of filter coefficients from the second timing for the auxiliary quantity as a numerator, and having a sum of a square value of a norm of a vector of the filter coefficients from the first timing for the auxiliary quantity and a square value of a norm of a vector of the filter coefficients from the second timing of the auxiliary quantity as a denominator.
3. The adaptive filter of claim 1 wherein the step-size parameter control unit is configured to determine the channel variation quantity as an average of at least two auxiliary quantities.
4. The adaptive filter of claim 3 wherein the step-size parameter control unit is configured to repeatedly determine the channel variation quantity on the basis of at least an actual auxiliary quantity.
5. The adaptive filter of claim 4 wherein the step-size parameter control unit comprises an infinite response filter configured to receive the auxiliary quantities and to output the channel variation quantity.
6. The adaptive filter of claim 5 where a distance between the first timing and the second timing for each of the auxiliary quantities is predetermined.
7. The adaptive filter of claim 1 wherein the step-size parameter control unit is configured to determine step-size parameter based on a fraction value having a numerator that is a further channel variation quantity based on the channel variation quantity, and a denominator that comprises a signal power of the input signal.
8. The adaptive filter of claim 7 wherein the step-size parameter control unit comprises a table defining a mapping between the channel variation quantity and the further channel variation quantity and the further channel variation is determined from the channel variation quantity from the mapping defined by the table.
9. The adaptive filter of claim 1 wherein the filter coefficients determination unit is adapted to determine the error signal based on a difference between a desired signal and an output signal, wherein the output signal is determined based on a scalar product of a vector of the filter coefficients and a vector of a filter input derived from the input signal.
10. The adaptive filter of claim 1, wherein the step-size parameter control unit determines the auxiliary quantity according to the expression:
(min\u03c6|w(n2)\u2212exp(j\xb7\u03c6)\xb7w(n1)|2)(|w(n2)|2+|w(n1)|2)
wherein \u03c6 is a real number, j is a complex number satisfying j2=\u22121, w(n1) is the vector of filter coefficients at the first timing and w(n2) is the vector of filter coefficients at the second timing.
11. The adaptive filter of claim 1, wherein the step-size parameter control unit determines the auxiliary quantity according to the expression:
(min\u03c6(|w(n2)|2+|w(n1)|2\u22122\xb7Re(exp(\u2212j\xb7\u03c6)\xb7w(n1), w(n2)))(|w(n2)|2+|w(n1)|2)
wherein \u03c6 is a real number, j is a complex number satisfying j2=\u22121, w(n1) is the vector of filter coefficients at the first timing and w(n2) is the vector of filter coefficients at the second timing.
12. The adaptive filter of claim 1, wherein the step-size parameter control unit determines the auxiliary quantity according to the expression:
1\u2212(2\xb7w(n1), w(n2(|w(n2)|2+|w(n1)|2))
wherein w(n1) is the vector of filter coefficients at the first timing and w(n2) is the vector of filter coefficients at the second timing.
13. A system, comprising:
a signal processing unit; and
an adaptive filter coupled to the signal processing unit and having:
a filter coefficients storage unit configured to store filter coefficients;
a filter coefficients determination unit configured to determining adapted filter coefficients based on the filter coefficients, an error signal and a step-size parameter; and
a step-size parameter control unit configured:
to determine a channel variation quantity based:
on a variation of a filter coefficient stored in the filter coefficient storage unit; and
on an auxiliary quantity based on a scalar product of a vector of filter coefficients from a first timing for the auxiliary quantity and a vector of filter coefficients from a second timing for the auxiliary quantity; and
to determine the step-size parameter based on the channel variation quantity.
14. An adaptive method for filtering an input signal in a filter, the method comprising:
determining adapted filter coefficients based on actual filter coefficients, an error signal, and a step-size parameter;
determining a channel variation quantity based:
on a variation of a filter coefficient; and
on an auxiliary quantity based on a scalar product of a vector of filter coefficients from a first timing for the auxiliary quantity and a vector of filter coefficients from a second timing for the auxiliary quantity;
determining the step-size parameter based on the channel variation quantity.
15. A non-transitory computer readable memory medium storing instructions that, when executed, cause a computing device to implement a method of filtering an input signal, the method comprising:
determining adapted filter coefficients based on actual filter coefficients, an error signal, and a step-size parameter;
determining a channel variation quantity based:
on a variation of a filter coefficient; and
on an auxiliary quantity based on a scalar product of a vector of filter coefficients from a first timing for the auxiliary quantity and a vector of filter coefficients from a second timing for the auxiliary quantity;
determining the step-size parameter based on the channel variation quantity.