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Audio Coding Mode defines the channel configuration of the Dolby Digital bitstream you are encoding It can vary from Mono to 51 with or without LFE NOTE that Dolby denotes the channel configuration as a two digit series, ie, 3/2, or 2/0, where the first digit indicates the number of Front Channels (1, 2, or 3) and the second digit indicates the number of surround channels (0, 1, or 2) (see Fig 6-63 top image) Note that most DVD-Video soundtracks are either Stereo (2/0) or 51 Surround (3/2 w/LFE) Select the desired Audio Coding Mode popup to indicate the number of channels you are encoding Standard Stereo is 2/0 (L, R) Some programs you encode may be 51 or other channel configurations (3/2 + LFE in Dolby-speak)

4-2-5 Partial-Match Retrieval Indexes provide multiattribute retrieval, that is, access via any of several attributes We also have to consider queries where several attributes are combined Such a query is termed a partial-match query, since several of many (a) attributes of the record are to be matched A partial match query with four attributes terms is shown in Example 4-6 An important use of indexes is the reduction of search e ort for partial-match queries For each attribute {style, price, bedrooms, location, } indexes are available; each key value found will point to many records

Look again at the basic PCE equation:

If you are using the LFE channel, check the Enable Low Frequency Effects checkbox Leave it off if you are not doing a format that requires it Once you ve selected the Audio Coding Mode, you MUST verify or set the Data Rate

Example 4-6

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Partial-Match Query style price bedrooms location = = = = "Colonial", 31 000 33 000, 3, "Wuthering Heights";

Verify the Sample Rate of the Source File(s)

Merging of Multiple Indexes To restrict the retrieval to one or a few goal records, all arguments in the query are rst processed against their indexes Each index produces a list of identi ers (TIDs) for the candidate records Example 4-5 showed an e cient encoding for multiple records per key These lists of TIDs are then merged according to the expression given by the query, using boolean functions to select the TIDs for those goal records which satisfy all query arguments Fig 4-12 sketches how 4 houses are found for Example 4-6 Only the goal records needed for the response are eventually retrieved The cost of processing a partial-match query can be estimated by expanding Eq 3-55 We use aQ indexes, merge the lists, and retrieve nG goal records using bG (Eq 4-6) block accesses

Verify the Sample Rate for your source files Note that the standard is 48 kHz for DVD, and most AC-3 encoders prefer or insist on this sample rate The allowable sample rates displayed in the pop-up (see Fig 6-63, bottom image) will vary depending on encode source selected In all cases, match this setting properly with the actual sample rate of the source files THIS IS NOT THE DATA RATE THAT S THE NEXT SETTING

What levers can we pull to improve PCE Think about these two facts: Most process time is spent on non-value-add work It s easier and cheaper to remove non-value-add work than to speed up value-add work That means the greater leverage lies in reducing total lead time, not in focusing on value-add time How can we improve lead time An equation for the lead time of any process, known as Little s Law (named for the mathematician who proved it), shows that the two key factors are the number of things or work in process (called TIP or WIP) and how quickly you can get work done (the average completion rate):

TF (aQ , nG ) = aQ x(s + r + btt) + c + bG (s + r + btt)

Setting the Data Rate (the All-Important Encode Rate)

was F5-47 We made here the assumption that each subset of TIDs of the aQ selected subsets was fetched from one block If more index blocks are required some additional serial access costs are incurred; the linkage scheme for index blocks presented in Sec 4-2-3 will minimize incremental costs The merging of TIDs is aided by sorting the TIDs initially, so that the retrieval of the blocks containing goal records is conveniently carried out in TID order The value of bG has an upper bound of nG , but no block has to be accessed more than once A good estimate of bG as a function of nG , n, and Bfr is given in Sec 4-2-3 as Eq 4-6 In the next section we will discuss schemes that reduce the factor aQ of Eq 4-8 by creating additional indexes If two or more attributes occur together in partialmatch queries, it is possible to construct a single index for those speci c attributes

Sec 4-2

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