Exact(60)
The symbol "I" represents improvement, "IS" for slight improvement, and "D" for degraded performance, respectively.
The symbol i,j represents the element in the ith row and the jth column of the corresponding matrix.
At the root of the trie of atom i the hash code of the atomic symbol i is placed.
Symbol i stands for number of nanoparticles in the cubic aggregate, |F mg | is magnitude of magnetic force between nanoparticle and the aggregate, and |F g | stands for magnitude of gravitation force between nanoparticle and the aggregate.
where, (h^{ML}_{i} varepsilon)) is the extrinsic erasure probability of LDPC symbol "i" after ML decoding as shown in Fig. 5. Just like LDPC codes [22], the exact computation of the EXIT function for the ML decoding is difficult.
For simplicity, the time-dependent term exp(−iωt) is not explicitly written: the symbol i is the imaginary unit and ω is the angular frequency of a time-harmonic spherical wave.
In FSM-based testing, given a specification M, the symbol I(M) denotes the set of all deterministic FSMs, variants of M, with the same inputs of M for which all sequences in Ω M are defined.
x i, y i, b i be the i th transmitted symbol, i th combined received symbol, i th zero-mean, N0/2-variance Gaussian noise added, N0 is the noise power spectral density, h il be the fading amplitude corresponding to the i th symbol and the l th antenna, assumed being i.i.d., L be the number of diversity channels, E s be the average symbol energy.
where, (h^{ text {IT+RS})}_{i}) is the extrinsic (IT + RS) erasure probability of LDPC-Staircase symbol "i" as shown in Fig. 5. h (IT+RS) is the asymptotic (average on all the LDPC variable nodes, (N_{L}to +infty )) extrinsic erasure probability at the output of an (IT + RS) decoding.
Given a current state s j and an input symbol i, a 4-tuple (s j, i, o, s k ) ∈ h S represents a possible transition from state s j under the input i to the next state s k with the output o.
Each symbol, i.e., combination of marker and color, corresponds to a specific content.
Write better and faster with AI suggestions while staying true to your unique style.
Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com