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DataMatrix . net - SourceForge
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DataMatrix . net is a C#/. net -library for encoding and decoding DataMatrix codes in any common format (png, jpg, bmp, gif, ...). The library is documented in the ...

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C# Data Matrix Reader SDK to read, scan Data Matrix in C#. NET ...
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Scan and read Data Matrix barcodes from image files is one of the barcode decoding functions in . NET Barcode Reader component. To help . net developers  ...

Channel equallzatlon The earliest work on equalization methods for digital communications applications dates back to the mid 1960s It was first proposed by Lucky (1965) in the design of a linear equalizer Lucky did not use the mean-square-error criterion, as we did in Secs 54 and 64, but rather the so-called peak-distortion criterion Lucky s solution led to what is known as the zeroforcing equalizer whereby the equalizer is essentially the inverse of the channel This design method ignores the presence of noise and, as a result, it can lead to noise amplification and performance degradation Another early work on equalization is that of DiToro (1965) Soon afterwards, Widrow (1966), followed by Gersho (1969) and Proakis and Miller (1969) proposed using the mean-square-error criterion instead of the peak-distortion criterion The meansquare-error criterion takes the noise into account and generally leads to superior performance.

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Since then, the criterion has been used extensively in the design of optimal equalizer and receiver structures, including decision-feedback equalizers and fractionally-spaced equalizers The first work on decision-feedback-equalization was that of Austin (1967), followed by Monsen (1971), George, Bowen, and Storey (1971), Price (1972), and Salz (1973) Some of the earliest references on fractionally-spaced equalizers were those by Brady (1970), Ungerboeck (1976), Qureshi and Forney (1977), and Gitlin and Weinstein (1981) Appendix 3B of Sayed (2003) motivates the need for equalization methods and explains their role in compensating for the time dispersion introduced by communications channels and in combating inter-symbol interference Among other results, the appendix explains the origin of the discrete-time channel model (5 lo), as well as the concepts of symbol-spaced and fractionally-spaced equalization The material in the appendix complements the discussions in Secs 54 and 64 on the design of linear and decision-feedback equalizers.

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Further details on equalization techniques can be found in the textbooks by Gitlin, Hayes, and Weinstein (1992) and Proakis (2000) Another accessible reference is the survey article by Qureshi (1985), which deals primarily with adaptive equalization Finite-length DFE A finite-length formulation of the decision-feedback equalizer that is similar to the one presented in Sec 64 can be found in Al-Dhahir and Cioffi (1995) A similar design of decision-feedback equalizers for MlMO systems (eg, systems that involve multiple transmit and receive antennas) is studied in F robs II42-1145 following the work of Al-Dhahir and Sayed (2000) Beamformlng Beamforming has applications in several areas including radar, sonar, and communications (see, eg.

, the book by Johnson and Dudgeon (1993) and the articles by Van Veen and Buckley (1988) and Krim and Viberg (1996); the last article discusses several other issues in array signal processing and subspace methods)..

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a This organism has a plasmid coding for enzymes that allow the metabolism of citrate. Based on Olsen (1995).

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There's an example available: using DataMatrix . net ; // Add ref to DataMatrix . net . dll using System.Drawing; // Add ref to System.Drawing. [.

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NET Barcode Reader Add-on from RasterEdge DocImage SDK for . NET successfully combines advanced Data Matrix barcode detecting & reading functions ...

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