point at extreme right of mantissa. if (*ibeta == 2 && !i) --(*maxexp);if (i > 20) --(*maxexp);if (a != y) *maxexp -= 2;*xmax=one-(*epsneg);if ((*xmax)*one != *xmax) *xmax=one-beta*(*epsneg);*xmax /= (*xmin*beta*beta*beta);i=(*maxexp)+(*minexp)+3;
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if (*ibeta == 2) *xmax += *xmax;else *xmax *= beta;
Some typical values returned by machar are given in the table, above. IEEE-
compliant machines referred to in the table include most UNIX workstations (SUN,DEC, MIPS), and Apple Macintosh IIs.
are generally IEEE-compliant, except that some compilers underflow intermediateresults ungracefully, yielding irnd = 2 rather than 5. Notice, as in the case of a VAX(fourth column), that representations with a “phantom” leading 1 bit in the mantissaachieve a smaller eps for the same wordlength, but cannot underflow gracefully.
computer, is strictly prohibited. To order Numerical Recipes books
Programs Copyright (C) 1988-1992 by Numerical Recipes Software.
Goldberg, D. 1991, ACM Computing Surveys, vol. 23, pp. 5–48.
Cody, W.J. 1988, ACM Transactions on Mathematical Software, vol. 14, pp. 303–311. [1]
or send email to [email protected] (outside North Amer
Malcolm, M.A. 1972, Communications of the ACM, vol. 15, pp. 949–951. [2]
IEEE Standard for Binary Floating-Point Numbers, ANSI/IEEE Std 754–1985 (New York: IEEE,
20.2 Gray Codes
A Gray code is a function G(i) of the integers i, that for each integer N ≥ 0
is one-to-one for 0 ≤ i ≤ 2N − 1, and that has the following remarkable property:The binary representation of G(i) and G(i + 1) differ in exactly one bit. An exampleof a Gray code (in fact, the most commonly used one) is the sequence 0000, 0001,
0011, 0010, 0110, 0111, 0101, 0100, 1100, 1101, 1111, 1110, 1010, 1011, 1001,and 1000, for i = 0, . . . , 15. The algorithm for generating this code is simply toform the bitwise exclusive-or (XOR) of i with i/2 (integer part). Think about how
the carries work when you add one to a number in binary, and you will be able to see
why this works. You will also see that G(i) and G(i + 1) differ in the bit position of
the rightmost zero bit of i (prefixing a leading zero if necessary).
The spelling is “Gray,” not “gray”: The codes are named after one Frank Gray,
who first patented the idea for use in shaft encoders. A shaft encoder is a wheel withconcentric coded stripes each of which is “read” by a fixed conducting brush. Theidea is to generate a binary code describing the angle of the wheel. The obvious,but wrong, way to build a shaft encoder is to have one stripe (the innermost, say)conducting on half the wheel, but insulating on the other half; the next stripe isconducting in quadrants 1 and 3; the next stripe is conducting in octants 1, 3, 5,
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computer, is strictly prohibited. To order Numerical Recipes books
Programs Copyright (C) 1988-1992 by Numerical Recipes Software.
or send email to [email protected] (outside North Amer
Single-bit operations for calculating the Gray code G(i) from i (a), or the inverse (b).
LSB and MSB indicate the least and most significant bits, respectively. XOR denotes exclusive-or.
and 7; and so on. The brushes together then read a direct binary code for theposition of the wheel.
The reason this method is bad, is that there is no way to guarantee that all the
brushes will make or break contact exactly simultaneously as the wheel turns. Goingfrom position 7 (0111) to 8 (1000), one might pass spuriously and transiently through6 (0110), 14 (1110), and 10 (1010), as the different brushes make or break contact.
Use of a Gray code on the encoding stripes guarantees that there is no transient state
between 7 (0100 in the sequence above) and 8 (1100).
Of course we then need circuitry, or algorithmics, to translate from G(i) to i.
Figure 20.2.1 (b) shows how this is done by a cascade of XOR gates. The idea isthat each output bit should be the XOR of all more significant input bits. To doN bits of Gray code inversion requires N − 1 steps (or gate delays) in the circuit. (Nevertheless, this is typically very fast in circuitry.) In a register with word-widebinary operations, we don’t have to do N consecutive operations, but only ln 2 N . The trick is to use the associativity of XOR and group the operations hierarchically. This involves sequential right-shifts by 1, 2, 4, 8, . . . bits until the wordlength is
exhausted. Here is a piece of code for doing both G(i) and its inverse.
unsigned long igray(unsigned long n, int is)For zero or positive values of is, return the Gray code of n; if is is negative, return the inverseGray code of n. {
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This is the more complicated direction: In hierarchical
stages, starting with a one-bit right shift, cause each
bit to be XORed with all more significant bits.
ans ^= (idiv=ans >> ish);if (idiv <= 1 || ish == 16) return ans;ish <<= 1;
Double the amount of shift on the next cycle.
In numerical work, Gray codes can be useful when you need to do some task
that depends intimately on the bits of i, looping over many values of i. Then, if there
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are economies in repeating the task for values differing by only one bit, it makessense to do things in Gray code order rather than consecutive order. We saw anexample of this in §7.7, for the generation of quasi-random sequences.
Programs Copyright (C) 1988-1992 by Numerical Recipes Software.
or send email to [email protected] (outside North Amer
Horowitz, P., and Hill, W. 1989, The Art of Electronics, 2nd ed. (New York: Cambridge University
Knuth, D.E. Combinatorial Algorithms, vol. 4 of The Art of Computer Programming (Reading,
MA: Addison-Wesley), §7.2.1. [Unpublished. Will it be always so?]
20.3 Cyclic Redundancy and Other Checksums
When you send a sequence of bits from point A to point B, you want to know
that it will arrive without error. A common form of insurance is the “parity bit,”
attached to 7-bit ASCII characters to put them into 8-bit format. The parity bit ischosen so as to make the total number of one-bits (versus zero-bits) either alwayseven (“even parity”) or always odd (“odd parity”). Any single bit error in a character
will thereby be detected. When errors are sufficiently rare, and do not occur closely
bunched in time, use of parity provides sufficient error detection.
Unfortunately, in real situations, a single noise “event” is likely to disrupt more
than one bit. Since the parity bit has two possible values (0 and 1), it gives, onaverage, only a 50% chance of detecting an erroneous character with more than onewrong bit. That probability, 50%, is not nearly good enough for most applications. Most communications protocols [1] use a multibit generalization of the parity bitcalled a “cyclic redundancy check” or CRC. In typical applications the CRC is 16bits long (two bytes or two characters), so that the chance of a random error goingundetected is 1 in 216 = 65536. Moreover, M -bit CRCs have the mathematical

Chapman v. Com. August 23, 2007 (Approx. 33 pages) --- S.W.3d ----, 2007 WL 2404429 (Ky.) Briefs and Other Related Documents Only the Westlaw citation is currently available. THIS OPINION IS NOT FINAL AND SHALL NOT BE CITED AS AUTHORITY IN ANY COURTS OF THE COMMONWEALTH OF KENTUCKY. Supreme Court of Kentucky. Marco Allen CHAPMAN, Appellant, v. COMMONWEALTH of Kentucky, Appellee. No. 2005-SC-00

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