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The encoding/decoding model of communication emerged in rough and general form in 1948 in Claude E. Shannon's "A Mathematical Theory of Communication," where it was part of a technical schema for designating the technological encoding of signals.
Encoding, in semiotics, is the process of creating a message for transmission by an addresser to an addressee. The complementary process – interpreting a message received from an addresser – is called decoding .
Since the Walsh–Hadamard code is a linear code, the distance is equal to the minimum Hamming weight among all of its non-zero codewords. All non-zero codewords of the Walsh–Hadamard code have a Hamming weight of exactly by the following argument. Let {,} be a non-zero message. Then the following value is exactly equal to the fraction of ...
A source translates a message into a signal using a transmitter. The signal is then sent through a channel to a receiver. The receiver translate the signal back into a message and makes it available to a destination. The steps of encoding and decoding in Schramm's model perform the same role as transmitter and receiver in the Shannon–Weaver ...
In coding theory, a linear code is an error-correcting code for which any linear combination of codewords is also a codeword. Linear codes are traditionally partitioned into block codes and convolutional codes , although turbo codes can be seen as a hybrid of these two types. [ 1 ]
A weight on a Lie algebra g over a field F is a linear map λ: g → F with λ([x, y]) = 0 for all x, y in g. Any weight on a Lie algebra g vanishes on the derived algebra [g,g] and hence descends to a weight on the abelian Lie algebra g/[g,g]. Thus weights are primarily of interest for abelian Lie algebras, where they reduce to the simple ...
Advanced Placement (AP) Human Geography (also known as AP Human Geo, AP Geography, APHG, AP HuGe, APHug, AP Human, HuGS, AP HuGo, or HGAP) is an Advanced Placement social studies course in human geography for high school, usually freshmen students in the US, culminating in an exam administered by the College Board. [1]
The converse does not prove a theory; Bayesian inference simply makes a theory more likely, by weight of evidence. Since it is not possible to find all counter-examples to a theory, it is also possible to argue that no science is strictly empirical, but this is not the usual meaning of "quasi-empirical".