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As with other decomposition/denoising schemes, with known texture/noise variance, the value of λ is dynamically updated with iteration number using a method based on gradient projection.
For MCM denoising, a formula similar to Eq. 18 is used to determine λ O at each iteration, also based on gradient projection lambda_{O} = frac{1}{2sigma^{2}}int_{Omega_{O}} f-u u_{zetazeta} f-u u_{zetazeta
Thus, we propose an efficient algorithm based on gradient projection (GP) as the optimal power allocation strategy for selected users, and show that the proposed CIR precoding scheme can achieve asymptotically the optimum sum-rate of the DPC strategy.
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One category is based on gradient, including finite difference approximation of derivative, adjoint gradient-based methods, and gradient simulator methods.
It is based on gradient descent method.
The parameters are iteratively updated based on gradient descent.
Also, a 2D CS image reconstruction algorithm based on iterative gradient projection is derived in [25].
An optimization procedure based on the gradient projection algorithm is proposed.
Therefore, the authors derive a greedy algorithm to estimate x 0 based on the gradient projection algorithm [42].
In this paper, a 2D CS sparse image reconstruction algorithm based on iterative gradient projection is proposed.
A computer program based on the gradient projection algorithm is used for initial design of a 100 m-high building frame located at Osaka, Japan.
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