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159 results about "Comparison area" patented technology

Method and apparatus for calculating likelihood metric of a received signal in a digital communication system

A likelihood metric calculation method including: estimating a channel of a received signal and generating a channel estimate; compensating a channel of the received signal according to the channel estimate; calculating a region variable according to the channel estimate; and comparing the region variable and a magnitude of the compensated received signal and calculating a likelihood metric of the received signal according to a result of the comparison. An apparatus for calculating a likelihood metric including: a channel estimation unit estimating a channel of the received signal and generating a channel estimate; a channel compensation unit compensating a channel of the received signal according to the channel estimate; a region variable calculation unit calculating a region variable according to the channel estimate, the region variable being a value obtained by scaling a symbol coordinate value in a signal constellation corresponding to the received signal utilizing the channel estimate; a comparison unit comparing a magnitude of the compensated received signal and the region variable; and a bit metric calculation unit calculating a likelihood metric with respect to each bit of the compensated received signal according to a result of the comparison. According to the present invention, it is possible to reduce a complexity in the compensating of the channel and the calculating of the likelihood metric. Also, since effects caused by the channel variation are reflected as a weighting factor in the calculating of the likelihood metric, it is possible to improve a message detection performance of the entire system.
Owner:POS DATA CO LTD

Preparation of Mn-base metal oxide catalyst through H2O2 quick reduction method and application of Mn-base metal oxide catalyst to volatile organic chemicals (VOCs) low-temperature catalytic combustion

The invention discloses a novel preparation method of a Mn-base metal oxide (MnOx) catalyst and application of the MnOx catalyst to the field of volatile organic chemicals (VOCs) low-temperature catalytic combustion. The method comprises the steps that KMnO4 and inorganic liquid acid are dissolved to a certain volume of deionized water to form a solution 1; a certain amount of H2O2 is diluted by deionized water to form a solution 2; on the room temperature condition, the solution 2 is added into the solution 1 dropwise; generated sediment is filtered, washed, dried and roasted at the high temperature after being aged and passing the night, and then the needed MnOx catalyst can be obtained. The method has the advantages that simpleness and quickness are achieved; the problems that the synthetic temperature is high, time is long and the amount of waste water and the number of waste residues are large in a hydrothermal synthesis method and a direct precipitation method can be avoided; a MnOx material of a multilevel structure can be synthesized, and the large comparison area is beneficial for a VOCs catalytic combustion reaction on the surface of the MnOx catalyst. In methylbenzene and methanol low-temperature combustion, the synthesized MnOx has an ideal catalyzing effect.
Owner:INST OF URBAN ENVIRONMENT CHINESE ACAD OF SCI

Computer image based automatic identification method of timber knot flaws

The invention discloses a computer image based automatic identification method of timber knot flaws. The method comprises the major steps of firstly, acquiring timber images by use of digital cameras, secondly, performing preprocessing, such as image recombination, image denoising and image enhancement, on the acquired timber images, thirdly, performing characteristic extraction on the preprocessed images by use of an image digital processing algorithm, fourthly, judging the quasi-circle or ellipse shape features of the timber flaws by virtue of Hough transformation according to flaw edge characteristics and determining candidate regions, fifthly calculating the area of knot flaws by use of a line-by-line pixel area scanning algorithm, and sixthly, identifying the timber knot flaws by use of a comparison area threshold and characteristic parameters. The method is used for identifying the timber knot flaws by use of the image identification technique, and is high in identification accuracy, high in speed and simple to operate; the method is capable of meeting the requirements of the modern timber processing industry on the knot flaw identification speed and quality, and also capable of accurately locating the knot flaws to facilitate high-speed automatic cutting of the knot flaws.
Owner:HUNAN UNIV
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