Gray code

Reflected binary codes were applied to mathematical puzzles before they became known to engineers.

The binary-reflected Gray code represents the underlying scheme of the classical Chinese rings puzzle, a sequential mechanical puzzle mechanism described by the French Louis Gros in 1872.[25][12]

It can serve as a solution guide for the Towers of Hanoi problem, based on a game by the French Édouard Lucas in 1883.[26][27][28][29] Similarly, the so called Towers of Bucharest and Towers of Klagenfurt game configurations yield ternary and pentary Gray codes.[30]

Martin Gardner wrote a popular account of the Gray code in his August 1972 Mathematical Games column in Scientific American.[31]

The code also forms a Hamiltonian cycle on a hypercube, where each bit is seen as one dimension.

When the French engineer Émile Baudot changed from using a 6-unit (6-bit) code to 5-unit code for his printing telegraph system, in 1875[32] or 1876,[33][34] he ordered the alphabetic characters on his print wheel using a reflected binary code, and assigned the codes using only three of the bits to vowels. With vowels and consonants sorted in their alphabetical order,[35][36][37] and other symbols appropriately placed, the 5-bit character code has been recognized as a reflected binary code.[12] This code became known as Baudot code[38] and, with minor changes, was eventually adopted as International Telegraph Alphabet No. 1 (ITA1, CCITT-1) in 1932.[39][40][37]

About the same time, the German-Austrian Otto Schäffler[41] demonstrated another printing telegraph in Vienna using a 5-bit reflected binary code for the same purpose, in 1874.[42][12]

Frank Gray, who became famous for inventing the signaling method that came to be used for compatible color television, invented a method to convert analog signals to reflected binary code groups using vacuum tube-based apparatus. Filed in 1947, the method and apparatus were granted a patent in 1953,[13] and the name of Gray stuck to the codes. The "PCM tube" apparatus that Gray patented was made by Raymond W. Sears of Bell Labs, working with Gray and William M. Goodall, who credited Gray for the idea of the reflected binary code.[43]

Part of front page of Gray's patent, showing PCM tube (10) with reflected binary code in plate (15)

Gray was most interested in using the codes to minimize errors in converting analog signals to digital; his codes are still used today for this purpose.

Rotary encoder for angle-measuring devices marked in 3-bit binary-reflected Gray code (BRGC)

A Gray code absolute rotary encoder with 13 tracks. Housing, interrupter disk, and light source are in the top; sensing element and support components are in the bottom.

Gray codes are used in linear and rotary position encoders (absolute encoders and quadrature encoders) in preference to weighted binary encoding. This avoids the possibility that, when multiple bits change in the binary representation of a position, a misread will result from some of the bits changing before others.

For example, some rotary encoders provide a disk which has an electrically conductive Gray code pattern on concentric rings (tracks). Each track has a stationary metal spring contact that provides electrical contact to the conductive code pattern. Together, these contacts produce output signals in the form of a Gray code. Other encoders employ non-contact mechanisms based on optical or magnetic sensors to produce the Gray code output signals.

Regardless of the mechanism or precision of a moving encoder, position measurement error can occur at specific positions (at code boundaries) because the code may be changing at the exact moment it is read (sampled). A binary output code could cause significant position measurement errors because it is impossible to make all bits change at exactly the same time. If, at the moment the position is sampled, some bits have changed and others have not, the sampled position will be incorrect. In the case of absolute encoders, the indicated position may be far away from the actual position and, in the case of incremental encoders, this can corrupt position tracking.

In contrast, the Gray code used by position encoders ensures that the codes for any two consecutive positions will differ by only one bit and, consequently, only one bit can change at a time. In this case, the maximum position error will be small, indicating a position adjacent to the actual position.

Due to the Hamming distance properties of Gray codes, they are sometimes used in genetic algorithms.[14] They are very useful in this field, since mutations in the code allow for mostly incremental changes, but occasionally a single bit-change can cause a big leap and lead to new properties.

Gray codes are also used in labelling the axes of Karnaugh maps since 1953[44][45][46] as well as in Händler circle graphs since 1958,[47][48][49][50] both graphical methods for logic circuit minimization.

In modern digital communications, Gray codes play an important role in error correction. For example, in a digital modulation scheme such as QAM where data is typically transmitted in symbols of 4 bits or more, the signal's constellation diagram is arranged so that the bit patterns conveyed by adjacent constellation points differ by only one bit. By combining this with forward error correction capable of correcting single-bit errors, it is possible for a receiver to correct any transmission errors that cause a constellation point to deviate into the area of an adjacent point. This makes the transmission system less susceptible to noise.

Digital logic designers use Gray codes extensively for passing multi-bit count information between synchronous logic that operates at different clock frequencies. The logic is considered operating in different "clock domains". It is fundamental to the design of large chips that operate with many different clocking frequencies.

If a system has to cycle through all possible combinations of on-off states of some set of controls, and the changes of the controls require non-trivial expense (e.g. time, wear, human work), a Gray code minimizes the number of setting changes to just one change for each combination of states. An example would be testing a piping system for all combinations of settings of its manually operated valves.

A balanced Gray code can be constructed,[51] that flips every bit equally often. Since bit-flips are evenly distributed, this is optimal in the following way: balanced Gray codes minimize the maximal count of bit-flips for each digit.

George R. Stibitz utilized a reflected binary code in a binary pulse counting device in 1941 already.[10][11][12]

A typical use of Gray code counters is building a FIFO (first-in, first-out) data buffer that has read and write ports that exist in different clock domains. The input and output counters inside such a dual-port FIFO are often stored using Gray code to prevent invalid transient states from being captured when the count crosses clock domains.[52] The updated read and write pointers need to be passed between clock domains when they change, to be able to track FIFO empty and full status in each domain. Each bit of the pointers is sampled non-deterministically for this clock domain transfer. So for each bit, either the old value or the new value is propagated. Therefore, if more than one bit in the multi-bit pointer is changing at the sampling point, a "wrong" binary value (neither new nor old) can be propagated. By guaranteeing only one bit can be changing, Gray codes guarantee that the only possible sampled values are the new or old multi-bit value. Typically Gray codes of power-of-two length are used.

Sometimes digital buses in electronic systems are used to convey quantities that can only increase or decrease by one at a time, for example the output of an event counter which is being passed between clock domains or to a digital-to-analog converter. The advantage of Gray codes in these applications is that differences in the propagation delays of the many wires that represent the bits of the code cannot cause the received value to go through states that are out of the Gray code sequence. This is similar to the advantage of Gray codes in the construction of mechanical encoders, however the source of the Gray code is an electronic counter in this case. The counter itself must count in Gray code, or if the counter runs in binary then the output value from the counter must be reclocked after it has been converted to Gray code, because when a value is converted from binary to Gray code,[nb 1] it is possible that differences in the arrival times of the binary data bits into the binary-to-Gray conversion circuit will mean that the code could go briefly through states that are wildly out of sequence. Adding a clocked register after the circuit that converts the count value to Gray code may introduce a clock cycle of latency, so counting directly in Gray code may be advantageous.[53]

To produce the next count value in a Gray-code counter, it is necessary to have some combinational logic that will increment the current count value that is stored. One way to increment a Gray code number is to convert it into ordinary binary code,[54] add one to it with a standard binary adder, and then convert the result back to Gray code.[55] Other methods of counting in Gray code are discussed in a report by Robert W. Doran, including taking the output from the first latches of the master-slave flip flops in a binary ripple counter.[56]

As the execution of program code typically causes an instruction memory access pattern of locally consecutive addresses, bus encodings using Gray code addressing instead of binary addressing can reduce the number of state changes of the address bits significantly, thereby reducing the CPU power consumption in some low-power designs.[57][58]

It is possible to construct binary Gray codes with n bits with a length of less than 2ⁿ, if the length is even. One possibility is to start with a balanced Gray code and remove pairs of values at either the beginning and the end, or in the middle.[60] OEIS sequence A290772 [61] gives the number of possible Gray sequences of length 2 n which include zero and use the minimum number of bits.

There are many specialized types of Gray codes other than the binary-reflected Gray code. One such type of Gray code is the n-ary Gray code, also known as a non-Boolean Gray code. As the name implies, this type of Gray code uses non-Boolean values in its encodings.

For example, a 3-ary (ternary) Gray code would use the values 0,1,2.[30] The (n, k)-Gray code is the n-ary Gray code with k digits.[62] The sequence of elements in the (3, 2)-Gray code is: 00,01,02,12,11,10,20,21,22. The (n, k)-Gray code may be constructed recursively, as the BRGC, or may be constructed iteratively. An algorithm to iteratively generate the (N, k)-Gray code is presented (in C):

// inputs: base, digits, value
// output: Gray
// Convert a value to a Gray code with the given base and digits.
// Iterating through a sequence of values would result in a sequence
// of Gray codes in which only one digit changes at a time.
void toGray(unsigned base, unsigned digits, unsigned value, unsigned gray[digits])
{ 
	unsigned baseN[digits];	// Stores the ordinary base-N number, one digit per entry
	unsigned i;		// The loop variable
 
	// Put the normal baseN number into the baseN array. For base 10, 109 
	// would be stored as [9,0,1]
	for (i = 0; i < digits; i++) {
		baseN[i] = value % base;
		value    = value / base;
	}
 
	// Convert the normal baseN number into the Gray code equivalent. Note that
	// the loop starts at the most significant digit and goes down.
	unsigned shift = 0;
	while (i--) {
		// The Gray digit gets shifted down by the sum of the higher
		// digits.
		gray[i] = (baseN[i] + shift) % base;
		shift = shift + base - gray[i];	// Subtract from base so shift is positive
	}
}
// EXAMPLES
// input: value = 1899, base = 10, digits = 4
// output: baseN[] = [9,9,8,1], gray[] = [0,1,7,1]
// input: value = 1900, base = 10, digits = 4
// output: baseN[] = [0,0,9,1], gray[] = [0,1,8,1]

There are other Gray code algorithms for (n,k)-Gray codes. The (n,k)-Gray code produced by the above algorithm is always cyclical; some algorithms, such as that by Guan,[62] lack this property when k is odd. On the other hand, while only one digit at a time changes with this method, it can change by wrapping (looping from n − 1 to 0). In Guan's algorithm, the count alternately rises and falls, so that the numeric difference between two Gray code digits is always one.

Gray codes are not uniquely defined, because a permutation of the columns of such a code is a Gray code too. The above procedure produces a code in which the lower the significance of a digit, the more often it changes, making it similar to normal counting methods.

See also Skew binary number system, a variant ternary number system where at most two digits change on each increment, as each increment can be done with at most one digit carry operation.

Although the binary reflected Gray code is useful in many scenarios, it is not optimal in certain cases because of a lack of "uniformity".[51] In balanced Gray codes, the number of changes in different coordinate positions are as close as possible. To make this more precise, let G be an R-ary complete Gray cycle having transition sequence ${\displaystyle (\delta _{k})}$; the transition counts (spectrum) of G are the collection of integers defined by

${\displaystyle \lambda _{k}=|\{j\in \mathbb {Z} _{R^{n}}:\delta _{j}=k\}|\,,{\text{ for }}k\in \mathbb {Z} _{n}}$

A Gray code is uniform or uniformly balanced if its transition counts are all equal, in which case we have ${\displaystyle \lambda _{k}={\tfrac {R^{n}}{n}}}$ for all k. Clearly, when ${\displaystyle R=2}$, such codes exist only if n is a power of 2.[63] If n is not a power of 2, it is possible to construct well-balanced binary codes where the difference between two transition counts is at most 2; so that (combining both cases) every transition count is either ${\displaystyle 2\left\lfloor {\tfrac {2^{n}}{2n}}\right\rfloor }$ or ${\displaystyle 2\left\lceil {\tfrac {2^{n}}{2n}}\right\rceil }$.[51] Gray codes can also be exponentially balanced if all of their transition counts are adjacent powers of two, and such codes exist for every power of two.[64]

For example, a balanced 4-bit Gray code has 16 transitions, which can be evenly distributed among all four positions (four transitions per position), making it uniformly balanced:[51]

0 1 1 1 1 1 1 0 0 0 0 0 0 1 1 0

0 0 1 1 1 1 0 0 1 1 1 1 0 0 0 0

0 0 0 0 1 1 1 1 1 0 0 1 1 1 0 0

0 0 0 1 1 0 0 0 0 0 1 1 1 1 1 1

whereas a balanced 5-bit Gray code has a total of 32 transitions, which cannot be evenly distributed among the positions. In this example, four positions have six transitions each, and one has eight:[51]

1 1 1 1 1 0 0 0 0 1 1 1 1 1 1 0 0 1 1 1 1 1 0 0 0 0 0 0 0 0 0 0

0 0 0 1 1 1 1 1 1 1 1 0 0 0 0 0 0 0 1 1 1 1 1 1 0 0 0 1 1 0 0 0

1 1 0 0 1 1 1 0 0 0 0 0 0 1 1 1 0 0 0 1 1 1 1 1 1 0 0 0 0 0 1 1

1 0 0 0 0 0 0 0 1 1 1 1 1 1 0 0 0 0 0 0 1 1 1 1 1 1 1 1 0 0 0 1

1 1 1 1 1 1 0 0 0 0 1 1 0 0 0 0 0 0 0 0 0 1 1 0 0 0 1 1 1 1 1 1

We will now show a construction[65] and implementation[66] for well-balanced binary Gray codes which allows us to generate an n-digit balanced Gray code for every n. The main principle is to inductively construct an (n + 2)-digit Gray code ${\displaystyle G'}$ given an n-digit Gray code G in such a way that the balanced property is preserved. To do this, we consider partitions of ${\displaystyle G=g_{0},\ldots ,g_{2^{n}-1}}$ into an even number L of non-empty blocks of the form

${\displaystyle \left\{g_{0}\right\},\left\{g_{1},\ldots ,g_{k_{2}}\right\},\left\{g_{k_{2}+1},\ldots ,g_{k_{3}}\right\},\ldots ,\left\{g_{k_{L-2}+1},\ldots ,g_{-2}\right\},\left\{g_{-1}\right\}}$

where ${\displaystyle k_{1}=0}$, ${\displaystyle k_{L-1}=-2}$, and ${\displaystyle k_{L}\equiv -1{\pmod {2^{n}}}}$). This partition induces an ${\displaystyle (n+2)}$-digit Gray code given by

${\displaystyle {\mathtt {00}}g_{0},}$

${\displaystyle {\mathtt {00}}g_{1},\ldots ,{\mathtt {00}}g_{k_{2}},{\mathtt {01}}g_{k_{2}},\ldots ,{\mathtt {01}}g_{1},{\mathtt {11}}g_{1},\ldots ,{\mathtt {11}}g_{k_{2}},}$

${\displaystyle {\mathtt {11}}g_{k_{2}+1},\ldots ,{\mathtt {11}}g_{k_{3}},{\mathtt {01}}g_{k_{3}},\ldots ,{\mathtt {01}}g_{k_{2}+1},{\mathtt {00}}g_{k_{2}+1},\ldots ,{\mathtt {00}}g_{k_{3}},\ldots ,}$

${\displaystyle {\mathtt {00}}g_{-2},{\mathtt {00}}g_{-1},{\mathtt {10}}g_{-1},{\mathtt {10}}g_{-2},\ldots ,{\mathtt {10}}g_{0},{\mathtt {11}}g_{0},{\mathtt {11}}g_{-1},{\mathtt {01}}g_{-1},{\mathtt {01}}g_{0}}$

If we define the transition multiplicities

${\displaystyle m_{i}=\left|\left\{j:\delta _{k_{j}}=i,1\leq j\leq L\right\}\right|}$

to be the number of times the digit in position i changes between consecutive blocks in a partition, then for the (n + 2)-digit Gray code induced by this partition the transition spectrum ${\displaystyle \lambda '_{i}}$ is

${\displaystyle \lambda '_{i}={\begin{cases}4\lambda _{i}-2m_{i},&{\text{if }}0\leq i<n\\L,&{\text{ otherwise }}\end{cases}}}$

The delicate part of this construction is to find an adequate partitioning of a balanced n-digit Gray code such that the code induced by it remains balanced, but for this only the transition multiplicities matter; joining two consecutive blocks over a digit ${\displaystyle i}$ transition and splitting another block at another digit ${\displaystyle i}$ transition produces a different Gray code with exactly the same transition spectrum ${\displaystyle \lambda '_{i}}$, so one may for example[64] designate the first ${\displaystyle m_{i}}$ transitions at digit ${\displaystyle i}$ as those that fall between two blocks. Uniform codes can be found when ${\displaystyle R\equiv 0{\pmod {4}}}$ and ${\displaystyle R^{n}\equiv 0{\pmod {n}}}$, and this construction can be extended to the R-ary case as well.[65]

Long run (or maximum gap) Gray codes maximize the distance between consecutive changes of digits in the same position. That is, the minimum run-length of any bit remains unchanged for as long as possible.[67]

Monotonic codes are useful in the theory of interconnection networks, especially for minimizing dilation for linear arrays of processors.[68] If we define the weight of a binary string to be the number of 1s in the string, then although we clearly cannot have a Gray code with strictly increasing weight, we may want to approximate this by having the code run through two adjacent weights before reaching the next one.

We can formalize the concept of monotone Gray codes as follows: consider the partition of the hypercube ${\displaystyle Q_{n}=(V_{n},E_{n})}$ into levels of vertices that have equal weight, i.e.

${\displaystyle V_{n}(i)=\{v\in V_{n}:v{\text{ has weight }}i\}}$

for ${\displaystyle 0\leq i\leq n}$. These levels satisfy ${\displaystyle |V_{n}(i)|=\textstyle {\binom {n}{i}}}$. Let ${\displaystyle Q_{n}(i)}$ be the subgraph of ${\displaystyle Q_{n}}$ induced by ${\displaystyle V_{n}(i)\cup V_{n}(i+1)}$, and let ${\displaystyle E_{n}(i)}$ be the edges in ${\displaystyle Q_{n}(i)}$. A monotonic Gray code is then a Hamiltonian path in ${\displaystyle Q_{n}}$ such that whenever ${\displaystyle \delta _{1}\in E_{n}(i)}$ comes before ${\displaystyle \delta _{2}\in E_{n}(j)}$ in the path, then ${\displaystyle i\leq j}$.

An elegant construction of monotonic n-digit Gray codes for any n is based on the idea of recursively building subpaths ${\displaystyle P_{n,j}}$ of length ${\displaystyle 2\textstyle {\binom {n}{j}}}$ having edges in ${\displaystyle E_{n}(j)}$.[68] We define ${\displaystyle P_{1,0}=({\mathtt {0}},{\mathtt {1}})}$, ${\displaystyle P_{n,j}=\emptyset }$ whenever ${\displaystyle j<0}$ or ${\displaystyle j\geq n}$, and

${\displaystyle P_{n+1,j}={\mathtt {1}}P_{n,j-1}^{\pi _{n}},{\mathtt {0}}P_{n,j}}$

otherwise. Here, ${\displaystyle \pi _{n}}$ is a suitably defined permutation and ${\displaystyle P^{\pi }}$ refers to the path P with its coordinates permuted by ${\displaystyle \pi }$. These paths give rise to two monotonic n-digit Gray codes ${\displaystyle G_{n}^{(1)}}$ and ${\displaystyle G_{n}^{(2)}}$ given by

${\displaystyle G_{n}^{(1)}=P_{n,0}P_{n,1}^{R}P_{n,2}P_{n,3}^{R}\cdots {\text{ and }}G_{n}^{(2)}=P_{n,0}^{R}P_{n,1}P_{n,2}^{R}P_{n,3}\cdots }$

The choice of ${\displaystyle \pi _{n}}$ which ensures that these codes are indeed Gray codes turns out to be ${\displaystyle \pi _{n}=E^{-1}\left(\pi _{n-1}^{2}\right)}$. The first few values of ${\displaystyle P_{n,j}}$ are shown in the table below.

Subpaths in the Savage–Winkler algorithm

${\displaystyle P_{n,j}}$	j = 0	j = 1	j = 2	j = 3
n = 1	0, 1
n = 2	00, 01	10, 11
n = 3	000, 001	100, 110, 010, 011	101, 111
n = 4	0000, 0001	1000, 1100, 0100, 0110, 0010, 0011	1010, 1011, 1001, 1101, 0101, 0111	1110, 1111

These monotonic Gray codes can be efficiently implemented in such a way that each subsequent element can be generated in O(n) time. The algorithm is most easily described using coroutines.

Monotonic codes have an interesting connection to the Lovász conjecture, which states that every connected vertex-transitive graph contains a Hamiltonian path. The "middle-level" subgraph ${\displaystyle Q_{2n+1}(n)}$ is vertex-transitive (that is, its automorphism group is transitive, so that each vertex has the same "local environment" and cannot be differentiated from the others, since we can relabel the coordinates as well as the binary digits to obtain an automorphism) and the problem of finding a Hamiltonian path in this subgraph is called the "middle-levels problem", which can provide insights into the more general conjecture. The question has been answered affirmatively for ${\displaystyle n\leq 15}$, and the preceding construction for monotonic codes ensures a Hamiltonian path of length at least 0.839N where N is the number of vertices in the middle-level subgraph.[69]

Another type of Gray code, the Beckett–Gray code, is named for Irish playwright Samuel Beckett, who was interested in symmetry. His play "Quad" features four actors and is divided into sixteen time periods. Each period ends with one of the four actors entering or leaving the stage. The play begins and ends with an empty stage, and Beckett wanted each subset of actors to appear on stage exactly once.[70] Clearly the set of actors currently on stage can be represented by a 4-bit binary Gray code. Beckett, however, placed an additional restriction on the script: he wished the actors to enter and exit so that the actor who had been on stage the longest would always be the one to exit. The actors could then be represented by a first in, first out queue, so that (of the actors onstage) the actor being dequeued is always the one who was enqueued first.[70] Beckett was unable to find a Beckett–Gray code for his play, and indeed, an exhaustive listing of all possible sequences reveals that no such code exists for n = 4. It is known today that such codes do exist for n = 2, 5, 6, 7, and 8, and do not exist for n = 3 or 4. An example of an 8-bit Beckett–Gray code can be found in Donald Knuth's Art of Computer Programming.[12] According to Sawada and Wong, the search space for n = 6 can be explored in 15 hours, and more than 9,500 solutions for the case n = 7 have been found.[71]

Maximum lengths of snakes (L_s) and coils (L_c) in the snakes-in-the-box problem for dimensions n from 1 to 4

Snake-in-the-box codes, or snakes, are the sequences of nodes of induced paths in an n-dimensional hypercube graph, and coil-in-the-box codes,[72] or coils, are the sequences of nodes of induced cycles in a hypercube. Viewed as Gray codes, these sequences have the property of being able to detect any single-bit coding error. Codes of this type were first described by William H. Kautz in the late 1950s;[4] since then, there has been much research on finding the code with the largest possible number of codewords for a given hypercube dimension.

Yet another kind of Gray code is the single-track Gray code (STGC) developed by Norman B. Spedding[73][74] and refined by Hiltgen, Paterson and Brandestini in "Single-track Gray codes" (1996).[75][76] The STGC is a cyclical list of P unique binary encodings of length n such that two consecutive words differ in exactly one position, and when the list is examined as a P × n matrix, each column is a cyclic shift of the first column.[77]

Single-track Gray code with 5 sensors.

Animated and color-coded version of the STGC rotor.

The name comes from their use with rotary encoders, where a number of tracks are being sensed by contacts, resulting for each in an output of 0 or 1. To reduce noise due to different contacts not switching at exactly the same moment in time, one preferably sets up the tracks so that the data output by the contacts are in Gray code. To get high angular accuracy, one needs lots of contacts; in order to achieve at least 1° accuracy, one needs at least 360 distinct positions per revolution, which requires a minimum of 9 bits of data, and thus the same number of contacts.

If all contacts are placed at the same angular position, then 9 tracks are needed to get a standard BRGC with at least 1° accuracy. However, if the manufacturer moves a contact to a different angular position (but at the same distance from the center shaft), then the corresponding "ring pattern" needs to be rotated the same angle to give the same output. If the most significant bit (the inner ring in Figure 1) is rotated enough, it exactly matches the next ring out. Since both rings are then identical, the inner ring can be cut out, and the sensor for that ring moved to the remaining, identical ring (but offset at that angle from the other sensor on that ring). Those two sensors on a single ring make a quadrature encoder. That reduces the number of tracks for a "1° resolution" angular encoder to 8 tracks. Reducing the number of tracks still further cannot be done with BRGC.

For many years, Torsten Sillke[78] and other mathematicians believed that it was impossible to encode position on a single track such that consecutive positions differed at only a single sensor, except for the 2-sensor, 1-track quadrature encoder. So for applications where 8 tracks were too bulky, people used single-track incremental encoders (quadrature encoders) or 2-track "quadrature encoder + reference notch" encoders.

Norman B. Spedding, however, registered a patent in 1994 with several examples showing that it was possible.[73] Although it is not possible to distinguish 2ⁿ positions with n sensors on a single track, it is possible to distinguish close to that many. Etzion and Paterson conjecture that when n is itself a power of 2, n sensors can distinguish at most 2ⁿ − 2n positions and that for prime n the limit is 2ⁿ − 2 positions.[79] The authors went on to generate a 504-position single track code of length 9 which they believe is optimal. Since this number is larger than 2⁸ = 256, more than 8 sensors are required by any code, although a BRGC could distinguish 512 positions with 9 sensors.

An STGC for P = 30 and n = 5 is reproduced here:

Single-track Gray code for 30 positions

Angle	Code		Angle	Code		Angle	Code		Angle	Code		Angle	Code
0°	10000		72°	01000		144°	00100		216°	00010		288°	00001
12°	10100		84°	01010		156°	00101		228°	10010		300°	01001
24°	11100		96°	01110		168°	00111		240°	10011		312°	11001
36°	11110		108°	01111		180°	10111		252°	11011		324°	11101
48°	11010		120°	01101		192°	10110		264°	01011		336°	10101
60°	11000		132°	01100		204°	00110		276°	00011		348°	10001

Each column is a cyclic shift of the first column, and from any row to the next row only one bit changes.[80] The single-track nature (like a code chain) is useful in the fabrication of these wheels (compared to BRGC), as only one track is needed, thus reducing their cost and size. The Gray code nature is useful (compared to chain codes, also called De Bruijn sequences), as only one sensor will change at any one time, so the uncertainty during a transition between two discrete states will only be plus or minus one unit of angular measurement the device is capable of resolving.[81]

A Gray-coded constellation diagram for rectangular 16-QAM

Two-dimensional Gray codes are used in communication to minimize the number of bit errors in quadrature amplitude modulation (QAM) adjacent points in the constellation. In a typical encoding the horizontal and vertical adjacent constellation points differ by a single bit, and diagonal adjacent points differ by 2 bits.[82]

Two-dimensional Gray codes also have uses in location identifications schemes, where the code would be applied to area maps such as a Mercator projection of the earth's surface and an appropriate cyclic two-dimensional distance function such as the Mannheim metric be used to calculate the distance between two encoded locations, thereby combining the characteristics of the Hamming distance with the cyclic continuation of a Mercator projection.[83]

If a subsection of a specific codevalue is extracted from that value, for example the last 3 bits of a 4-bit gray-code, the resulting code will be an "excess gray code". This code shows the property of counting backwards in those extracted bits if the original value is further increased. Reason for this is that gray-encoded values do not show the behaviour of overflow, known from classic binary encoding, when increasing past the "highest" value.

Example: The highest 3-bit gray code, 7, is encoded as (0)100. Adding 1 results in number 8, encoded in gray as 1100. The last 3 bits do not overflow and count backwards if you further increase the original 4 bit code.

When working with sensors that output multiple, gray-encoded values in a serial fashion, one should therefore pay attention whether the sensor produces those multiple values encoded in 1 single gray-code or as seperate ones, as otherwise the values might appear to be counting backwards when an "overflow" is expected.