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Version number of this executable a 16-bit major and a 16-bit minor version number. This is used in link resolution (V-format only). In original format, this contained a checksum of the code, but this was never used. Type of compression used (UID or 0 for none). Version of PETRAN/ELFTRAN which generated this le. Time at which le was generated, in standard EPOC encoding (microseconds since 00:00:00 01-01-00AD). Flags eld see later in this appendix for more details. Code size (includes constant data, IAT and export directory). Initialized data size. Heap minimum size (only used for EXEs). Heap maximum size (only used for EXEs). Stack size (only used for EXEs). BSS (zero- lled data) size. Offset in code of entry point. Code base address (where code is linked for). Data base address (where data is linked for). Number of DLLs referenced. Offset into the le of the export address table. Number of entries in export address table. Size of text section (offset of IAT within code section). Offset in le to code section. Offset in le to data section. Offset in le to import section. Offset in le to code relocations.

To exploit the j optimality, however, the correlation factors g j and the variances s2 must be j calculated a dif cult task They can nonetheless be well approximated, provided simplifying idealized properties are adopted The particular idealizations chosen here are the following: ID1a: For each xed j the dX j; are stationary sequences of uncorrelated variables IDIb: The processes dX j; and dX jH ; , j T jH , are uncorrelated ID2: The process X and, hence, the processes dX j; are Gaussian The above conditions may appear unduly restrictive at rst; however, the underlying effectiveness of the method is based on P1 and P2, ID1 ID2 being added.

74 78 7A

mainly to extend the quantitative analysis. Robustness with respect to departures from these idealizations is discussed in detail below. Note that ID1a and ID1b together make ID1, the idealization of complete decorrelation. It is split here to highlight the fact that ID1b, independence between scales, is not needed for the key results. Under ID1a and ID2 it can be shown [75] that g j is a negative, increasing function of nj only, given by g j c nj =2 = ln 2 log2 nj =2 ; 2:20

interface Pic { byte[] getImage(); } interface Renderer {

where c z GH z =G z is the so-called Psi function and G z the Gamma function. This function can easily be calculated for all values of nj . Under ID1a and ID2, with g j as above, the variables yj log mj g j are scaled and shifted logarithms of Chi-squared variables, satisfying Eyj ja log2 cf C; Var yj s2 z 2; nj =2 = ln2 2; j 2:21 2:22

Offset in le to data relocations. Priority of this process (only used for EXEs). CPU (0x1000 = X86, 0x2000 = ARM). For J-formatted headers, if the Type of compression eld is nonzero, then the following eld will be present. For V-formatted headers, it is always present:

where z z; n is a generalized Riemann Zeta function (see Gradshteyn and Ryzhik [38, p.1072]). There may be other sets of idealizations under which the g j and s2, if they j cannot be expressed in closed form, may nonetheless be accurately calculated. In such cases the estimator would have the same properties including a variance that is known, although no longer expressible in terms of standard functions. ^ The estimator a of a is the slope of a weighted linear regression of yj on j given by ^ a where S 1=s2 , Sj j yj Sj Sj =s2 j wj yj ; SSjj Sj2 j2 =s2 . j 2:23

Pic render(URL src); } class PictureApp { // Code sketch // private final Renderer renderer = new StandardRenderer(); public void show(final URL imageSource) { class Waiter implements Runnable { private Pic result = null; Pic getResult() { return result; } public void run() { result = rendererrender(imageSource); } }; Waiter waiter = new Waiter(); Thread t = new Thread(waiter); tstart(); displayBorders(); displayCaption(); // do other things // while rendering

Uncompressed size of the le. For V-formatted headers, the following elds will be present: