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where t 1; 2; . . . ; tmax . Thus, a feature vector x k s k ; s2 k ; r k; 1 ; r k; 2 ; . . . ; r k; tmax T of dimensionality 2 tmax is computed at every instant k, such that a set of G n-dimensional feature vectors X fx 1 ; x 2 ; . . . ; x T g is formed, where x k 2 Rn , k 1; 2; . . . ; T. The output of a fuzzy clustering algorithm should be the separation of the source data into m clusters with some degrees of membership wj k of the kth feature vector x k to the jth cluster, where m in the common case is unknown and can change over time. In what follows, we make an attempt to derive an adaptive computationally simple robust fuzzy clustering algorithm for recursive data processing in the online mode as more and more data become available.

lowing to interface these standard data rates with the 56/ 64 small kbps digital channel. The rst is AT&T s Digital Data System (DDS) and the second is based on CCITT Rec. V.110 (Ref. 18).

If this location is the same for both variables, then the variables are both referring to the same thing and the variables are therefore identical For example, if both C and D referred to our variable A, then they would both refer to the same location (our A variable) The second mechanism considers the content stored at the location that each variable references Obviously, if both variables refer to the same location, then the content stored there will once again be equal For example, if both C and D referred to our variable A, then the content they both refer to would be the value stored in the A variable.

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We assume the following has already been done by the user: 1. Both Microsoft Of ce 2003 and InfoSphere 9.5 are installed and the supporting ODBC drivers for Oracle and DB2 are in place in appropriate computers. Oracle 10 and SQL Server 2005 server and client software are installed where necessary. For example, since Federation Server needs access to Oracle client, the software must be installed on C3. 2. There is a spreadsheet called Grant loaded with the information from Table 12.3 stored in C4. This sheet is called Grant.xls.

The Mail::Webmail::Gmail module provides for this with one lovely bite-sized function: get_contacts(). This returns an array hash of your contacts, in this format:

Since the content stored in the A variable is equal to the content stored in the A variable, this second mechanism would consider C and D to be identical for both the rst mechanism and the second mechanism in this scenario What happens if our reference type variables refer to different locations Suppose C referred to the A variable but D referred to the B variable Now, when we perform the rst comparison mechanism, because the variables refer to different locations, the rst comparison mechanism considers them to be different from each other If our A and B variables both contain the same value (eg, if A = 0 and B = 0), then the second comparison mechanism will consider the two variables (C and D) to be identical to each other because their contents are identical.

As covered earlier in the chapter, video transmission requires special consideration. The following paragraphs summarize the special considerations a planner must take into account for video transmission over radiolinks. Raw video baseband modulates the radiolink transmitter. The aural channel is transmitted on a subcarrier well above the video portion. The overall subcarriers are themselves frequency modulated. Recommended subcarrier frequencies may be found in CCIR Rec. 402-2 (Ref. 9) and Rep. 289-4 (Ref. 10).

with equality iff A is diagonal. Since A is subject to a trace constraint, 1 n Aii P ,

This is far more complicated than the simple value type scenario depending on which mechanism we are using, we can consider two reference type variables to be identical to each other and different from each other at the same time!.

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