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To guarantee that the data-gathering task is never caught by the data-rendering task, the data gatherer usually starts some time before the data-rendering task begins to render the data already received This time difference is called the buffering latency It is the reason why, when you click on a streaming media link on the Web, for example, the streaming media player often tells you it is buffering Another prerequisite for streaming is that the data-gathering task can provide the data to the data-rendering task at least as quickly as it can consume it For stereo digital audio at CD quality, that means that the data must flow at a rate of 176,400 bytes per second (just under 14 megabits per second) A modem is a device that connects a computer to a phone line, in order to transmit data using the telephone network Most computers have a modem.



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<xsd:simpleType name="GUID"> <xsd:restriction base="xsd:string"> <xsd:pattern value="[0-9a-fA-F]{8}-[0-9a-fA-F]{4}-[0-9a-fA-F]{4} -[0-9a-fA-F]{4}-[0-9a-fA-F]{12}"/> </xsd:restriction> </xsd:simpleType>

At first glance, it would appear that you should not be able to get digital audio to stream at CD quality using a modem that can only deliver a maximum of 56 kilobits of information per second (such as popular modems can do today) There just isn t enough speed to deliver data at 14 megabits per second, which the digital to analog converters require in order to create CD-quality audio The answer lies in compression technology The audio data is coded in such a way that it can be transmitted in a smaller amount of data, which can then be reconstructed, at least approximately, at the receiver, using the right recipe to decode the compressed data into its native raw format..





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The plant produced in excess of 6,000 gallons of water a day. The plant was effective and produced water well into the 20th century until it was finally closed in 1912. All that remains now are shards of glass and salt deposits in the area where the stills were originally constructed.

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A final prerequisite for streaming to continue uninterrupted is that the remote source of the data be capable of delivering the data to the data-gathering task at the same rate as it is consumed. Clearly, if the network connection between the data source and the data-gathering task is interrupted, the stream will be interrupted and will stop. In this case, the end-user of the media becomes painfully aware that the entire digital media asset is not present on his or her computer. If the user were listening to music, it would simply suddenly stop. Streaming digital media, then, is akin to turning on any other utility, like water, gas, or electricity. When you want it, you turn it on. No waiting. When you don t want any more, you can turn it off just as easily as turning it on. It can be metered by usage, or else made freely available on an all-you-can-use payment plan. Unlike those utilities, however, today the provider pays, not the consumer. This is, of course, an oversimplification. The provider must pay for the capacity to serve streams to an intended audience, in both the cost of servers and the bandwidth to connect those servers to end-users. Advertisers sometimes subsidize these costs, provided they think they can reach an audience that will ultimately buy something from them. Finally, the consumers pay in terms of connection charges and on-line charges levied by their Internet Service Providers (ISPs), not to mention the cost of buying a PC to receive streaming media in the first place. If streaming digital media becomes the commodity which delivers our news, entertainment, and information, will that model be sustainable or will it change

In this case, the GUID type is defined as a set of 8, 4, 4, 4, and 12 hexadecimal digits divided by dashes (-). The W3C Recommendation defines the following facets: length minLength maxLength pattern enumeration whiteSpace maxInclusive minInclusive maxExclusive minExclusive totalDigits fractionDigits Naturally, you cannot use every facet with every type. Only some combinations make sense.

Fine grain scalability is also known as signal-to-noise scalability. What happens in the encoder is that the DCT coefficient matrix can be sliced up and sent as a base layer and multiple enhancement layers, which can be transmitted or not according to available bandwidth. The decoder can use the base layer and one or more enhancement layers to reconstruct the image. The way the DCT matrix of coefficients is sliced is by bit plane. If there are 4 bits in the coefficient representations, the base layer may simply take the most significant bit, the first enhancement layer the next most significant bit, and so on. Additionally, low frequency coefficients in the matrix can be artificially weighted, prior to bit slicing, to ensure the base layer contains more of the low frequency components needed for image reconstruction. Note also that with fine grain scalability, downstream relay routers can take DCT coefficients and bit slice them. If the base layer took the top 4 bits and the enhancement layer took the remaining 4 bits of an 8-bit quantized matrix, for example, the router could further slice the enhancement layer into two layers.

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