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(Color figure online) rho (hbar omega ) = frac{{L^{2} }}{4pi }frac{{{text{d}} k^{2} )}}{{{text{d}}(hbar omega )}} (6 where L 2 is the in-plane quantization area, k is the in-plane wave vector of plasmon.
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K i is the constant related to sensor such as electronic gain, the detector saturation electrons, the quantization levels, the area of the entrance aperture, and so on.
In general, for a bounded quantization cell, the area in the cell and the resultant distortion can be halved by adding an additional quantization bit per symbol or by doubling the number of constraints (M b ).
Furthermore, the early termination strategy is employed to further increase the throughput; a non-uniform quantization scheme and an area efficient calculation module are developed to further improve the memory efficiency and hardware resource efficiency, respectively.
Signal quantification was calculated for each nucleus by determining the nuclei area and quantization of the signal in that area.
To minimize the quantization error on background areas for improving the quality of the McFIS, T p can be approximated as T p = 0.6513e 0.0861 × QP. Figure 5 Proposed threshold T p as a function of QPs.
Recently, in our work [19], a general framework for the analysis of quantized feedback multiple antenna systems was developed using a source coding perspective by leveraging the considerable work that exists in this area, particularly high resolution quantization theory.
An overlapped message passing scheme and the non-uniform quantization scheme are incorporated to reduce the overall area and power of the proposed QC-LDPC decoder.
This made him a leading light in the rarefied strata of functional analysis, function algebras, field theory and quantization.
This class of converters is extremely relevant in applications where there is a need for non-uniform quantization characteristic, for example, some specific applications in the areas of light detection, hearing aid, nuclear physics, image acquisition, communication systems, etc.
Achieved verification results are compared wit h the ones ohtained for the most popular in speaker recognition area techniques like Gaussian Mixture Models and vcctor quantization.
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