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GPS receivers record data at regular, user-speci ed intervals (say, every 30 seconds). It is the reading of the receiver clock time T that is used to say exactly when the measurement is sampled. Therefore, the value of T at a measurement epoch is known exactly, and is written to the data le along with the observation. (What is not known, is the true time of measurement.) The actual observation to satellites can be writted: PS = (T TS)c where T is the known reading of the receiver clock when signal is received, TS is the reading of the satellite clock when the signal was transmitted, and c is the speed of light (in a vacuum) = 299792458 m/s. The modelled observation can be developed by setting the clock time T equal to the true reception time t plus a clock bias t, for both the receiver and satellite clocks: T=t+t TS = t S + t S Substitution gives the pseudorange as a function of the true time the signal was received: PS(t) = ((t + t) (t S + t S))c = (t t S)c + ct ct S = r S(t, t S) + ct ct S where r S(t, t S) is the range from receiver (at reception time) to the satellite (at transmit time). This model is simpli ed; for example, it assumes the speed of light in the atmosphere is c, and it ignores the theory of relativity; but this simpli ed model is useful to gain insight into the principles of GPS. From Pythagoras theorem, we can write: r S (t , t S ) =

import javax.xml.transform.Transformer; import javax.xml.transform.TransformerFactory; public class SchemaAdaptor { public static Reader transform(int customerId, Reader in) { // First, locate applicable XSL transform // This is unique to the customer: // (Note: getTransform impl assumed...) String fName = getTransform(customerId); FileReader file = new FileReader(fName); StreamSource src = new StreamSource(file); // Set up the transformation stuff: TransformerFactory fact = TransformerFactory.newInstance(); Transformer trans = fact.newTransformer(src); // Perform the transformation: StringWriter out = new StringWriter(); StreamResult res = new StreamResult(out); trans.transform(new StreamSource(in), res); StringReader result = new StringReader(out.toString()); return result; } }

x, in which each request would return a deck of one to four related cards ; the term was built into the language design pattern In software engineering, a common software design situation and a standard solution The design situation may occur in different platforms and languages A pattern may include behaviors, intent, consequences, known uses, and sample code but not executable code See also user interface design pattern device description repository A list of devices and their various capabilities, to be used by an application to adapt itself to a specific device environment Rarely if ever do these include user interface style See also user interface style, rendering engine, device hierarchy, WURFL, and J2ME Polish device hierarchy An organization of devices based on the user interaction characteristics that affect interaction design, like stylus input, softkey paradigm, and features and capabilities.

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Antennas and Propagation, Vol 36, No 1, 27 33, January 1988 Dragone, C, An N N Optical Multiplexer Using a Planar Arrangement of Two Star Couplers IEEE Photon Technol Lett 3, 812 815, September 1991 Erdelyi, A, Tables of Integral Transforms, McGraw Hill, New York, 1954 Ersoy, O K, Construction of Point Images with the Scanning Electron Microscope: A Simple Algorithm, Optik, 46, 61 66, September 1976 Ersoy, O K, One-Image-Only Digital Holography, Optik, 53, 47 62, April 1979 Ersoy, O K, Real Discrete Fourier Transform, IEEE Transactions Acoustics, Speech, Signal Processing, ASSP-33, 4, 880 882, August 1985 Ersoy, O K, J Y Zhuang, J Brede, Iterative Interlacing Approach for the Synthesis of Computer-Generated Holograms, Applied Optics, 31, 32, 6894 6901, November 10, 1992 Ersoy, O K.