نتایج جستجو برای: adaptive threshold
تعداد نتایج: 316918 فیلتر نتایج به سال:
normal 0 false false false en-us x-none fa background: electroencephalography (eeg) has vital and significant applications in different medical fields and is used for the primary evaluation of neurological disorders. hence, having easy access to suitable and useful signal is very important. artifacts are undesirable confusions which are generally originated from inevitable human activities such...
In this paper we have studied the threshold adaptation for energy based spectrum sensing in cognitive radio using non-linear optimization. Several methods to decide the threshold have been proposed in the literature such as fixed threshold, double threshold and adaptive threshold etc. Instead of using these methods to decide threshold in energy detection, an adaptive threshold has been proposed...
Biomedical sensors (BMSs) monitor the heterogeneous vital signs of patients. They have diverse Quality of Service (QoS) requirements including reduced collision, delay, loss, and energy consumption in the transmission of data, which are non-constrained, delay-constrained, reliability-constrained, and critical. In this context, this paper proposes a traffic priority-aware adaptive slot allocatio...
Using thresholding method to segment an image, a fixed threshold is not suitable if the background is rough here, we propose a new adaptive thresholding method using KFCM. The method requires only one parameter to be selected and the adaptive threshold surface can be found automatically from the original image. An adaptive thresholding scheme using adaptive tracking and morphological filtering....
Adaptive Modulation and Coding technique has emerged as a bandwidth efficient transmission scheme. It is motivated by its ability to improve spectral efficiency by adapting the transmission rates to the variations in channel signal-to-noise ratio. The implementation of apt rate adaptation algorithms based on either signal to noise ratio or successful packet transmission has been the crucial fac...
In this paper, we present two connected MRF models, the edge-preserving smoothing model followed by the modified standard regularization, for the adaptive binarization of the non-uniform images in the presence of noise. In particular, we have developed the computational model for the modified standard regularization method to be used to calculate the adaptive threshold surface for noisy images....
The threshold need artificial hypothesis in the existing edge detection algorithm. In response to this phenomenon, we propose an edge detection algorithm is based on adaptive threshold. Article algorithm was studying the characteristics of wavelet transform. And it was combined with the traditional edge detection algorithm to reset the threshold. So we can use this adaptive Threshold to search ...
Threshold public-key encryption (TPKE) allows a set of users to decrypt a ciphertext if a given threshold of authorized users cooperate. Existing TPKE schemes suffer from either long ciphertexts with size linear in the number of authorized users or can only achieve non-adaptive security. A non-adaptive attacker is assumed to disclose her target attacking set of users even before the system para...
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