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[[File:Variadic logical XOR.svg|thumb|250px|[[Exclusive or|XOR]] operations<br/>Here the white fields stand for 0<br/>and the red fields for 1]]
The '''Hadamard code''' is an [[error-correcting code]] named after the French mathematician [[Jacques Hadamard]] that is used for [[error detection and correction]] when transmitting messages over very noisy or unreliable channels. In 1971, the code was used to transmit photos of Mars back to Earth from the NASA space probe [[Mariner 9]].<ref name="Malek_2006"/> Because of its unique mathematical properties, the Hadamard code is not only used by engineers, but also intensely studied in [[coding theory]], [[mathematics]], and [[theoretical computer science]].
The Hadamard code is also known under the names '''Walsh code''', '''Walsh family''',<ref name="Amadei-Manzoli-Merani_2002"/> and '''Walsh–Hadamard code'''<ref name="Arora-Barak_2009"/> in recognition of the American mathematician [[Joseph Leonard Walsh]].
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[[James Joseph Sylvester]] developed his construction of Hadamard matrices in 1867, which actually predates Hadamard's work on Hadamard matrices. Hence the name ''Hadamard code'' is disputed and sometimes the code is called ''Walsh code'', honoring the American mathematician [[Joseph Leonard Walsh]].
An augmented Hadamard code was used during the 1971 [[Mariner 9]] mission to correct for picture transmission errors. The
Because of limitations of the quality of the alignment of the transmitter at the time (due to Doppler Tracking Loop issues) the maximum useful data length was about 30 bits
Errors of up to 7 bits per
The circuitry used was called the "Green Machine". It employed the [[fast Fourier transform]] which can increase the decoding speed by a factor of three. Since the 1990s use of this code by space programs has more or less ceased, and the [[NASA Deep Space Network]] does not support this error correction scheme for its dishes that are greater than 26 m.
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===Construction using a generator matrix===
The Hadamard code is a linear code, and all linear codes can be generated by a [[generator matrix]] <math>G</math>. This is a matrix such that <math>\text{Had}(x)= x\cdot G</math> holds for all <math>x\in\{0,1\}^k</math>, where the message <math>x</math> is viewed as a row vector and the vector-matrix product is understood in the [[vector space]] over the [[finite field]] <math>\mathbb F_2</math>. In particular, an equivalent way to write the inner product definition for the Hadamard code arises by using the generator matrix whose columns consist of ''all'' strings <math>y</math> of length <math>k</math>, that is,
:<math>G =
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===Proof of lemma 1===
Let <math>C(x) = c = (c_0,\dots,c_{2^n-1})</math> be the codeword in <math>C</math> corresponding to message <math>x</math>.
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===Proof of theorem 1===
To prove theorem 1 we will construct a decoding algorithm and prove its correctness.
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==References==
{{Reflist|refs=
<ref name="Malek_2006">{{cite book |title=Coding Theory |chapter=
<ref name="Amadei-Manzoli-Merani_2002">{{Cite book |title=Global Telecommunications Conference, 2002. GLOBECOM'02. IEEE |volume=1 |author-last1=Amadei |author-first1=M. |author-last2=Manzoli |author-first2=Umberto |author-last3=Merani |author-first3=Maria Luisa |chapter=On the assignment of Walsh and quasi-orthogonal codes in a multicarrier DS-CDMA system with multiple classes of users |publisher=[[IEEE]] |isbn=0-7803-7632-3 |doi=10.1109/GLOCOM.2002.1188196 |date=2002-11-17 |pages=841–845}}</ref>
<ref name="Arora-Barak_2009">{{Cite book |title=Computational Complexity: A Modern Approach |chapter=Section 19.2.2 |author-last1=Arora |author-first1=Sanjeev |author-link1=Sanjeev Arora |author-last2=Barak |author-first2=Boaz |publisher=[[Cambridge University Press]] |date=2009 |isbn=978-0-521-42426-4 |url=http://www.cs.princeton.edu/theory/complexity/}}</ref>
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[[Category:Coding theory]]
[[Category:Error detection and correction]]
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