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This method can be used to retrieve large LONGVARCHAR values. If necessary, the JDBC driver converts the data from database format to ASCII. Parameters: columnIndex the column index begins at 1. Returns: a Java input stream; if the value is SQL NULL, then the result is null. GETASCIISTREAM public abstract InputStream getAsciiStream(String columnName) throws SQLException This method can be used to retrieve large LONGVARCHAR values. If necessary, the JDBC driver converts the data from database format to ASCII. Parameters: columnName the name of the column Returns: a Java input stream; if the value is SQL NULL, then the result is null., GETBIGDECIMAL public abstract BigDecimal getBigDecimal(int columnIndex, int scale) throws SQLException Get the value of a column as a java.math.BigDecimal object. Parameters: columnIndex the column index begins at 1. scale the number of digits to the right of the decimal Returns: the column value; if the value is SQL NULL, then the result is null. GETBIGDECIMAL public abstract BigDecimal getBigDecimal(String columnName, int scale) throws SQLException Get the value of a column as a java.math.BigDecimal object. Parameters: columnName the name of the column scale the number of digits to the right of the decimal Returns: the column value; if the value is SQL NULL, then the result is null. GETBINARYSTREAM public abstract InputStream getBinaryStream(int columnIndex) throws SQLException This method can be used to retrieve large LONGVARBINARY values. Parameters: columnIndex the column index begins at 1. Returns: a Java input stream that delivers the database column value as a stream of uninterpreted bytes; if the value is SQL NULL, then the result is null.



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instruments, one has to deal with the instrumental line shape, while FT instruments offer a free choice of its apodization function and thus make it possible to optimize the apodization for a specific application. For our purposes, the Blackman Harris apodization functions, function appears to be most useful. For more details concerning apodi~ation see Griffiths and de Haset (1986). 4. Phase correction: in contrast to the theoretical expectation, the measured interferogram is typically not symmetric about the centerburst (x = 0). This is a consequence of experimental errors, e.g., frequency-dependent optical and electronic phase delays. One remedy is to measure a small part of the interferogram doublesided. Since the phase is a weak function of the wavenumber, one can easily interpolate the low resolution phase function and use the result later for phase correction. If there is considerable background absorption, phase errors may falsify the intensities of bands in the difference spectra. To avoid such phase errors for difference spectroscopy, the background absorbance should therefore be less than one. Fourier transformation of the interferogram affords a single channel background spectrum including the spectral characteristics of the mirrors, the globar and the detector detectivity. The 1R spectrum of a sample, such as the one shown in Fig.6.6-1, is obtained by subtracting from the sample spectrum the background sample-free spectrum.





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Standards: Object Database Management Group: ODMG s specifications, http://www.odmg.org Object Database Management Group: ODMG Java Binding, http://www.odmg.org/java.html Object Management Group: CORBA 2.0 Architecture and Specification, http://www.omg.org

AN2.2 Digital transmission: rural communications networks (FDMA/SCPC/PSK)

number of forecasts-greatly extending what they could do before with existing tools. Another popular accounting tool intended for the home market, based on a conceptual model of an object, is Quicken. This used paper checks and registers for its basic structure. Other examples of conceptual models based on objects include most operating environments (e.g., Windows and the Mac desktop) and web portals. All provide the user with a familiar frame of reference when starting the application.

BER after Viterbi decoder CER after (126,106) RS decoder BER after (126,106) RS decoder Sat/C8-26

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Now, we need to add the necessary reference information that s required to access the EJB that we created to access the information from the database. This is done using the <ejb-ref> element, as shown in the following code. This section is identical to the reference information shown and discussed in the first example in this chapter:

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It is well known and, in fact, an essential underlying part of chemical behavior that the electron has an intrinsic angular momentum, s 1 h . That is, the electron 2

Python further classifies numbers into four types: Regular or Plain integer. Plain integers are the most common data types among all languages. Most machines allow you to assign a value to an integer variable from -231 to 231 - 1. A plain integer in Python is implemented as the data type

DBCC PINTABLE: This command has been deprecated and has no effect on the server. DBCC UNPINTABLE: This command has been deprecated and has no effect on the server. DBCC CONCURRENCYVIOLATION: This command has been removed.

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