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Children have a variety of issues that interfere with learning, including psychological conflicts (often stemming from broken or dysfunctional families), decoding problems, interpersonal issues (the social outcast, the bully, the scapegoat), attention issues and issues of physical well-being.
Consequently, the algorithm was simplified by breaking it down to p k smaller decoding problems.
Although watermark detection and decoding problems seem to be similar from the hypothesis testing point of view, they actually serve different goals and thus different criteria are used.
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Conversely, the "decoding" problem concerns how much information is in a spike train, in particular, how well can we estimate the stimulus that gave rise to the spike train?
Equation 7 gives the mathematical formulation of a linear determined decoding problem, where an N length source data vector s ~ k is mixed by a constant mixing matrix B k to produce a vector y k of N observations.
Here, we consider two types of assignment problems for generating and interpreting color-coding systems, which correspond to the encoding and decoding tasks described above: encoding assignment problems and decoding assignment problems.
In watermark decoding, the embedded hidden message should be decoded accurately at the receiver side and therefore the bit error rate is usually used as the performance criterion to measure the accuracy of the decoder in extracting the hidden message, and the watermark decoding problem can be formulated as minimizing the bit error rate.
In addition, if the signature matrix satisfies the constraints of the first step of the Tensor Decoding Algorithm, the decoding problem can be broken down to several simpler decodings and thus, we need to perform 2 n 2 m 3 n -m computations.
In the analysis, the decoding problem is generalized as a function approximation problem.
Here, we focus only on the 3rd problem, the Viterbi decoding problem.
In this section, we consider a simplified version of the above-mentioned decoding problem.
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