As a typical channel estimation method, TD channel estimation has been discussed extensively for conventional radio communications[9, 10].
A typical position estimation algorithm uses a pattern-matching method.
In this paper, a typical channel estimation method, least square (LS) algorithm, is applied in adaptive equalization to obtain the initial tap weights of least mean square (LMS) algorithm.
The second avenue is to investigate larger interactions between traditional forms of capital and labour and big data-in our translog: we assume relative independence between these types of inputs, as otherwise, a typical regression estimation becomes quickly too complex.
A typical data estimation procedure in this study covered 1,000 repetitions, and it took a few days to complete.
First, because ω ij needs to be coded as a real number (ω ij ∈ ℝ), the chances of a typical parameter estimation algorithm to find ω ij = 0 are very small.
Adding an penalty term to the original loss criterion results in the typical estimation problem: (1) where denotes the log-likelihood function with respect to the given data, is the vector of coefficients that needs to be estimated and λ the regularization parameter.
The number of PRs can be obtained at the ST by using the multi-target identification techniques [18], which solve the typical estimation problem of how many unknown targets exist in the system [19].
Typical estimations of the spectral distribution of the magnitudes of the acceleration are displayed as functions of the normalized wavenumber that lies in the plane of the panel and normal to the ribs, and the normalized frequency.
A typical noise variance estimation algorithm used in wireless communication systems and specifically within the context of spectrum sensing [18], solves a yule-walker set of equations using Levinson-Durbin algorithm and needs a complexity of 2MN 2 cflops [19].
