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In subsection 3.1, we discussed some existing iterative projection approaches.
A few modified iterative projection approaches have now been proposed.
Similar to conventional iterative projection approaches, we present a block diagram of the iterative projection approaches with phase sparse constraint in Figure2. Figure 2 Block diagram of the iterative projection approaches with phase sparse constraint.
As a sequel to previous iterative projection approaches, iterative projection approaches with phase sparse constraint are realized based on 'soft thresholding'.
The block diagram of the iterative projection approaches is illustrated in Figure1. Figure 1 Block diagram of the iterative projection approaches.
For iterative projection approaches, the first proposed algorithm is the Gerchberg and Saxton approach (GS [12].
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This projection approach leads to a Kalman filter design.
Performance comparison with the subspace projection approach is also provided.
The projection approach is designed to require a minimum number of evaluations of the original model.
The subspace projection approach does not require knowledge of wall positions and extent.
Two approaches to incorporating the auxiliary information are presented: a multi-block approach and a novel two-stage projection approach.
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