The first stage embodies a linear transform of the data, typically in the form of a filterbank, the second stage reduces the dimension of the data through a nonlinear functional, typically in the form of health indicators, and the last stage supplies a statistical decision. Although several ...
Decision feedback equalizers(DFE) have been developed in [23]–[28] for FBMC systems, aswell. A parallel equalization for transmission over intense fre-quency selective channels has been utilized in [29], where one-tap equalizer per each subchannel becomes a special case whenthe number of sub...
Next, to obtain more audio details, we propose a feature fusion strategy to extract the MFBSS feature from the background noise. Then, we develop a decision fusion strategy to detect and localize all the possible splicing points. Finally, we evaluate our method against t...
We have developed a decision level information fusion framework which improves the fingerprint verification accuracy when multiple matchers, multiple fingers of the user, or multiple impressions of the same finger are combined. A feature verification and purification scheme is proposed to improve the ...
This paper presents a shift, scale, and rotation-invariant technique for iris feature-representation and fused postclassification at the decision-level to improve the accuracy and speed of the iris-recognition system. Most of the iris-recognition systems are still incapable for providing low false ...
Ultimately, this decision depends on the specific requirements of the task and the trade-offs between these approaches. 4. Proposed Method B: Parameter Sharing Top-Down Selective Auditory Attention System 4.1. Introduction Recurrent neural networks (RNNs) driven by multiplicative gate mechanisms, such...