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Schroeder [1984] and Schroeder and Atal [1985] with VQ to result in Code Excited Linear Prediction (CELP) Essentially it consists in reformulation of the open-loop/closed-loop prediction principle with perceptual weighting, which replaces the LP analysis step of the encoder with a linear predictive synthesis step Thereby, the basic structure of the underlying signal model becomes more directly visible and certain computational advantages can be realized when combined with VQ Note, however, that this analysis-by-synthesis formulation is still exactly equivalent to the noise-shaping predictive coding ideas presented in the previous subsection The starting point is to generate or synthesize one (or more) decoded signal sample by select(q) ing a quantized residual signal sample en from an inventory of allowed values (codebook) To this end, all entries from the inventory are run through the LP synthesis lter 1/A(z) to pro(d) duce a set of all decoded signal candidates xn .

By relying on an industry-standard format such as XML schema to define the structure of the underlying XML document, a DataSet needs to maintain no database specific information to perform its function Note Although an ADONET DataSet can represent the majority of its schema in an industry-standard XML schema document, it is important to realize that certain custom attributes are added to the document to help identify certain ADONET-specific features, such as which elements map to DataTables and which map to columns When viewing the XML schema document, these ADONET-specific attributes can be identified with the msdata: prefix before the attribute name The first thing you need to identify about an XML schema document as it relates to a DataSet is where it comes from This is an important issue to understand because it can have serious performance implications on any application built on the ADO.

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NET Framework The structure of an ADONET DataSet can come from one of two possible places: It can be designed and built at design time, or the DataSet can take a best guess at runtime through a process called inference As you see in the next couple of chapters, the Visual Studio NET development environment provides a powerful set of wizards and tools to design and build DataSets The wizards can also be used to automatically generate all the XML schema documents required to utilize a DataSet at runtime, and these XML schema documents are added to your Visual Studio NET projects with the XSD extension Before you decide on which of the two methods for determining the schema of a DataSet to use, you must examine the implications of each.

The coding distortion can be computed from the (d) difference xn xn From the above, it is evident that this distortion is proportional to quantization error qn via the lters W (z)/A(z) To select the best quantized residual signal, the coding distortion is ltered by the inverse weighting lters A(z)/W (z) to obtain the quantization noise (q) qn = en en If we minimize the squared magnitude of this variable we effectively perform a near(q) est neighbor decision among all possible residual candidates en from the codebook to nd the entry closest to en The power of this analysis-by-synthesis interpretation is that it lends itself to any description of the residual waveform inventory as long as it can be enumerated.

First, you examine a little about the process that a DataSet must go through to infer the schema of an XML document Given an XML document with no specified schema, the DataSet passes through the data to make its best guess as to which elements should be treated as DataTables, which should be treated as DataRows, and which should be treated as.

Data types in CLR code can be challenging One of the biggest issues is the fact that primitive data types in the NET Framework are not null aware In SQL Server, null indicates that an entity attribute has no value; therefore, by ANSI default, it cannot be compared in an equality expression or considered in an aggregation, among other things Primitive data types in the CLR programming model lack this concept of null Fortunately, there is a collection of data types available in the SystemDataSqlTypes namespace that map directly to the internal SQL Server data type All of these types implement the INullable interface That doesn t mean the challenges of data type mapping between NET and SQL Server are eliminated, but it does provide a great deal of help.

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