### Table 2: Gray levels of periodic patterns.

1997

"... In PAGE 10: ... With this choice, the gray levels predicted by the model for a one-dimensional sequence are the same as those predicted by the two- dimensional dot-overlap model of [6] for each column of a two-dimensional image whose columns equal the one-dimensional sequence. The gray levels produced by this model for various vertically periodic patterns are shown in Table2 along with the measured re ectance (the table shows 1 ? re ectance) of each printed pattern, obtained using a re ection densitometer. Actually, the densitometer measures re ectance density; the re ectance values are given by re ectance = 10?density.... In PAGE 20: ...20 levels, shown in the last column of Table2 , that are produceable by the dot-overlap model with patterns of period six. The number six represents, approximately, the number of dots over which the eye averages when viewing 300 dpi printing from 30 inches [6].... In PAGE 22: ... This example also con rms that for a printer with dot overlap the LSMB halftoning algorithm produces more dark shades of gray and fewer light shades of gray than for a printer with no dot overlap. This is consistent with Table2 , and is shown more explicitly in Fig. 19, which plots the pro les of the perceived original and halftone images (according... ..."

Cited by 5

### Table 6: XOR with Gray Coding

### Table 2: The e ects of single bit mutation on straight binary, E-code and Gray strings. and half of these codes are mirror images of each other. The average change in value An for single bit changes in straight binary, Gray and E-code is given by:

### Table 1 Clustering results on gray-level images of 3D objects

"... In PAGE 14: ...ver 30 trials with different initial values was 75.37%. Therefore, the Gaussian mixture model did not produce an improvement over the results of the K-means algorithm. The main experimental results using the images of real 3D objects are summarized in Table1 . The performance of the mixture of autoencoders model was much better than the performance of the K-means algorithm and the Gaussian mixture model.... ..."

### Table 4 Gray code representation and decimal equivalent

1994

"... In PAGE 5: ... Clearly the foregoing construction ensures that consecutive members of a Gray code sequence differ in exactly 1 bit. Table4 shows 4-bit Gray Code representations and their corresponding deci- Benchmark Cycles boyer browse chat circuit semigroup nand fastqueens qsort reducer 1,138,655 4,560 1,064,197 4,504,940 4,487,201 350,761 27,494,723 18,883,712 3,303,153 Description Eight queens problem Quicksort of a 50-element list A graph reducer for T-combinator VLSI module generator A circuit generator Boyer-Moore theorem prover Build and query a database English for database querying Query a data base Table 2 Benchmark programs Binary code Binary code Decimal Equivalent Decimal Equivalent 0000 0001 0010 0011 0100 0101 0110 0111 1000 1001 1010 1011 1100 1101 1110 1111 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 Table 3 Binary code representation and decimal equivalent mal equivalent. 3.... ..."

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### Table IV. Comparison of binary and Gray codings

1998

Cited by 68

### Table 2: Comparison of Gray and Binary Coding

"... In PAGE 35: ... Gray coding. Table2 presents how binary and gray coding compare, if we use the median as a mea- surement. The median in this case is the result of the 25th best run out of 50 for each experi- ment.... ..."

### Table 2: Comparison of Gray and Binary Coding

1994

"... In PAGE 35: ... Gray coding. Table2 presents how binary and gray coding compare, if we use the median as a mea- surement. The median in this case is the result of the 25th best run out of 50 for each experi- ment.... ..."