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Select the Create button ( ) to create a functional group Alternatively, you can select the Change button ( ) to change a group After creating a functional group to group all the fields related to the customer address, the screen will look like Figure 5-90 Select the functional group by double-clicking on it (it is possible to have more than one functional group of fields) Then press the button to list the fields in the table Click on the icon to include the field in the functional group The icon changes to indicate that the field is in the functional group By clicking on these icons, you can alternatively add and remove the field from the functional group By double-clicking on the field, you can change the field description and title from the SAP standard for use in this functional area only (see Figure 5-91) When you have selected all the fields you need to use in this table, the screen will look similar to Figure 5-92

1 101 1101

Where the initial 1 indicates a negative sample, 101 indicates the fifth segment, and 1101 indicates the thirteenth step in the segment We now have an eight-bit representation of an analog amplitude sample that can be transmitted across a digital network, then reconstructed with its many counterparts as an accurate representation of the original analog waveform at the receiving end This entire process is known as Pulse Code Modulation, or PCM, and the result of its efforts is often referred to as toll-quality voice

4 After you have selected the fields, you need to generate and save the functional area To generate the functional area, press the Generate button ( ) or select Functional area, Generate from the menu Press Save ( ) to save the functional area and exit this transaction

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While PCM is perhaps the best-known, high-quality voice digitization process, it is by no means the only one Advances in coding schemes and improvements in the overall quality of the telephone network have made it possible for encoding schemes to be developed that use far less bandwidth than traditional PCM In this next section, we will consider some of these techniques

478, 502

Adaptive Differential Pulse Code Modulation (ADPCM)

You can delete a functional area by entering the functional area name from screen [SQ02] and selecting Functional area, Delete from the menu Alternatively, press the Delete button ( ) You can copy a functional area by entering the functional area name and selecting Functional area, Copy from the menu Alternatively, press the Delete button ( ) You can rename a functional area by entering the functional area name and selecting Functional area, Rename from the menu Alternatively, press the Rename button ( )

Adaptive Differential Pulse Code Modulation (ADPCM) is a technique that allows toll-quality voice signals to be encoded at half-rate (32 Kbps) for transmission ADPCM relies on the predictability that is inherent in human speech to reduce the amount of information required The technique still relies on PCM encoding, but adds an additional step to carry out its task The 64 Kbps PCM-encoded signal is fed into an ADPCM transcoder, which considers the prior behavior of the incoming stream to create a prediction of the behavior of the next sample Here s where the magic happens: Instead of transmitting the actual value of the predicted sample, it encodes in four bits and transmits the difference between the actual and predicted samples Since the difference from sample to sample is typically quite small, the results are generally

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From the ABAP query screen, use the menu path: Environment, User groups User groups also use the transaction code [SQ03] One will then be presented with the screen in Figure 5-93

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3

considered to be very close to toll-quality This four-bit transcoding process, which is based on the known behavior characteristics of human voice, allows the system to transmit 8,000, four-bit samples per second, thus reducing the overall bandwidth requirement from 64 Kbps to 32 Kbps It should be noted that ADPCM works well for voice, because the encoding and predictive algorithms are based upon its behavior characteristics It does not, however, work as well for higher bit-rate data (above 4,800 bps), which has an entirely different set of behavior characteristics

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