The most important aspect of the proposed FT-IR approach is that it provides an unbiased computer based technique that can ultimately be automated.
Table 1 shows different machine virtualization-based techniques that can be used to create virtual networks, as well as a brief explanation and an example of each.
IAA, SLIM, and SPICE algorithms [12] are sparsity-based techniques that can estimate the DOA depending on a few snapshots with high resolution and low sidelobes.
Three-dimensional (3-D) visualizations of forest landscapes are quantitative ecological information-based techniques that can be used to visualize forest structure, dynamics, landscape transformations and regional plans.
IAA, SLIM, and SPICE algorithms [9] proposed by Stoica are sparsity-based techniques that can estimate the DOA depending on a few snapshots with high-resolution and low sidelobes.
Actually, the above-mentioned two techniques belong to the class of regularization-based techniques that can make trade-offs between directivity and robustness by adding a proper regularization parameter to all the diagonal elements of the noise covariance matrix.
There are many different PCR-based techniques that can be used to detect the globin gene variants.
These methods involve the analysis of statistical features and specific genomic signatures, and are more powerful in detection of gene insertion, as opposed to phylogeny-based techniques that can detect gene displacement as well [ 1].
Diffusion-weighted (DW) and Dynamic Contrast-Enhanced (DCE) MRI are imaging-based techniques that can monitor and predict a response to conventional and novel targeted therapeutic agents in clinical trials [ 4– 17].
However, based on techniques that can target specifically the cholinergic system in animals (e.g., the immunotoxin 192 IgG-saporin), it has recently been argued that ACh is particularly important for certain memory functions, including encoding more so than retrieval, and remembering relational and contextual information in particular [ 15, 69].
