Similar to the channel shortening literature where the minimum MSE and the maximum SSNR channel shorteners are equivalent [[13], Section 5], the approach in [2] is mathematically equivalent to our approach with the exception of the fixed sparse coefficient locations.
Once they are known, the reflection coefficients and location angles of the targets can be easily found.
We use proposed algorithms to design precoders and decoders and to identify effects of channel estimation error, correlation coefficients, relay location, and weight parameters on error probability.
where dCb λ, θ, i, j) and dCr λ, θ, i, j) denote visibility thresholds of the coefficients at location (i, j) of the subband in Cb and Cr components, respectively, and η and κ the parameters that are allowed to vary with frequency and perceptual color channel [17].
The storage cost of our algorithm consists of the costs of storing the coefficients, edge locations and the path information.
Using an array of sensors the design problem involves the choice of proper weighting coefficients and locations for the elements of the sensor array.
To estimate the reflection coefficient and location angle of the target, existing CS algorithms can be utilized by formulating the MIMO radar parameter estimation problem as a sparse estimation problem.
In this experimental framework, we use only one type of fingerprint and similarity measure, i.e. the ECFP_4 fingerprint and Tanimoto similarity-coefficient, the location of t α and the characteristics of the ACC t) and EN t) functions are dependent on the similarity measure at hand.
The estimated JND of the wavelet coefficient at location (i, j) in the subband with transform level λ and orientation θ of color component O in the color im-age is represented d O ( λ, θ, i, j ) = d O, D ( λ, θ, i, j ) ⋅ a O ( λ, θ, i, j ) for O = Y, C b, C r (1).
where ⌊ ⌋ is the operator of rounding to the nearest smaller integer, α the parameter that is suggested a value of 0.649 [3], zY, mean is the LL subband constant corresponding to the mean luminance of the display (128 for 8-bit image), and zY λmax, θ, i', j') is the wavelet coefficient at location (i', j') in the subband with the highest level λmax and orientation θ of the luminance component Y.
