### Table 1: Signal objects de ned in SignalProcessing`Support`. For the syntax of CPulse, Dirichlet, FIR, IIR, LineImpulse and Pulse, consult the on-line documentation (e.g., ?CPulse).

"... In PAGE 5: ... We now examine them in more detail. Table1 lists the twelve new functions. There are discrete and continuous versions of the impulse (Impulse and Delta), step (Step and CStep), and pulse functions (Pulse and CPulse).... In PAGE 8: ... (However, certain obvious simpli cations are carried out: for example, InvZ[z,n][Z[n,z][f]] reduces to f.) Similarly, the functions of in Table1 are not reduced to Mathematica built-in objects until they appear as arguments to TheFunction. One may wish to reduce them, for example, in order to use Mathematica apos;s built-in plotting routines to plot them.... In PAGE 8: ... One may wish to reduce them, for example, in order to use Mathematica apos;s built-in plotting routines to plot them. Naturally, some functions in Table1 , like Delta and Unit, cannot be expressed in terms of Mathematica built-in objects, so TheFunction leaves them alone. Other Features Another facility provided by SignalProcessing`Support` is the plotting of signals and transforms.... In PAGE 18: ... Transforms of exponentials in the time domain are inverse-transformed by the exponential property rule, not by table lookup. Some strategies for inverting z-transforms ( Table1 0) are similar to those applied in taking forward z-transforms, but some new ones are also needed. Two such strategies are partial fractions and power series expansion.... In PAGE 19: ... complex cepstrum: Z?1flog X(z)g ! ? 1 nZ?1 ( z X(z) d dz X(z)) *9. apply the inverse z-transform to the rst N terms of a series expansion about z = 0 Table1 0: Strategies for inverse z-transforms. An asterisk means that once the rule is applied to an expression, it will no longer be applied to any part of that expression.... In PAGE 33: ...designing/analyzing 1-D analog lters DTFT discrete Fourier analysis EducationalTool interactive version of a conference paper describ- ing educational impact of Mathematica LaPlaceTest testing procedure for Laplace transforms PiecewiseConvolution tutorial on discrete/continuous convolution README brief introduction SignalProcessingExamples interactive version of paper in the The Mathemat- ica Journal SignalProcessingIntroduction introduction to Mathematica, signal processing, and the signal processing packages SignalProcessingUsage usage information about every new object de ned by the signal processing packages zTransformI z-transform tutorial, part I zTransformII z-transform tutorial, part II zTransformIII z-transform tutorial, part III Table1 1: List of the signal processing Notebooks transforms as long as the options are set properly. The default options are biased toward DTFT apos;s: Domain - gt; Continuous, DomainScale - gt; Linear, MagRangeScale - gt; Linear, PhaseRangeScale - gt; Degree, and PlotRange - gt; All.... In PAGE 40: ...Possible Values Meaning Apart Rational, All Partial fraction decomposition only applies to polynomials with real or rational coe cients Definition True, False Use the transform de nition if all else fails to nd the transform (does not apply to the inverse z or Laplace transforms) Dialogue False, True, All Ascending levels of justi cation Simplify True, False Apply SPSimplify to result Terms False or integer Number of terms in series expansion (False means none) TransformLookup list of rules Users can specify their own transform pairs, like {x[n] : gt; X[z]} or {y[t1,t2] : gt; Y[s1,s2]} Table1 2: Meaning of the Options for the Transform Rule Bases... In PAGE 41: ...Option Default Value CTFTransform Dialogue False Simplify True DFTransform Dialogue False InvDFTransform Dialogue False Terms False DTFTransform Dialogue False LaPlace Dialogue True Simplify True InvCTFTransform Apart Rational Dialogue False Simplify True Terms False InvDTFTransform Dialogue False Terms False InvLaPlace Apart Rational Dialogue True Simplify True Terms 10 InvZTransform Dialogue True Terms 10 ZTransform Dialogue True Table1 3: Options for the Transform Rule Bases. Definition always defaults to False and TransformLookup always defaults to an empty list.... ..."

### Table 1. On-line check

"... In PAGE 7: ... But nevertheless the on-line check detects that something might be damaged. In Table1 a 1 (0) denotes that the error was (not) detected. Each column denotes a di erent value for m.... ..."

### Table 1 Coverage of On-line Dictionaries

"... In PAGE 4: ... On-line Dictionaries. The results from Table1 (also presented in [3]) show that on-line medical dictionaries are incomplete compared to potential DEFINDER output. Term UMLS OMD Glossary ... In PAGE 5: ...echnical and thus of limited use for lay people, e.g. coumadin , Holter monitor . Table1 shows that 15 terms out of 93 were absent from UMLS. Following [14] we analyzed the missing terms and conclude that in some cases modifiers play an important role in deciding which are the real terms, e.... ..."

### Table 1. The On-Line GPTD Algorithm

2003

Cited by 20

### Table 2: Coverage of On-line Dictionaries

2002

Cited by 5

### Table 2: Results for on-line checking

1998

"... In PAGE 6: ... For each set of faults we have applied 1000 pseudorandom inputs. The experimental results are represented in Table2 . The values for 1 and 2 in percent are given in column 2 and 3 respectively.... ..."

Cited by 5

### Table 2: Coverage of On-line Dictionaries

2002

Cited by 5

### TABLE 2. On-line heuristics: performance.

1997

Cited by 2

### Table 1. On-Line Molecular Databases

"... In PAGE 3: .... Molecular databases. The allergen databases that focus on molecular information all include basic amino acid sequence information, and may include additional information on protein structure and the location(s) of allergenic epitopes (when known). The seven major molecular databases are listed in Table1 . The oldest of the databases is the Bioinformatics for Food Safety (BIFS) database at the National Center for Food Safety and Technology (Gendel, 1998).... ..."