In recent years, the development of microelectrode arrays and multichannel recordings has provided opportunities for high-precision detection in signal processing. The study neuronal frontal potentials been rapidly emerging as an important component brain-computer interface neuroscience research. Neuronal spike provides a basis discharge analysis nucleus cluster identification; its accuracy dep...

In this paper we present a simple adaptive block-matching algorithm for video compression. Our method is an adaptive approach to pixel difference classification (PDC) matching criterion. A constant threshold is used in original PDC algorithm in which optimum threshold varies from sequence to sequence. In contrast to the original PDC algorithm, adaptive PDC (APDC) employs a time variant threshol...

Automatic threshold selection in regression method of change detection in remote sensing images is investigated in this paper. We have reviewed the three well-known automatic threshold selection methods in the image processing field; namely, convex hull, Otsu, and ISODATA. We have then described the adaptive threshold selection concept. We have then shown that from these three methods, only the...

This paper presents an adaptive threshold neural-network scheme for Rotorcraft Unmanned Aerial Vehicle (RUAV) sensor failure diagnosis. The approach based on adaptive threshold has the advantages of better detection and identification ability compared with traditional neural-network-based scheme. In this paper, the proposed scheme is demonstrated using the model of a RUAV and the results show t...

Neural processing rests on the intracellular transformation of information as synaptic inputs are translated into action potentials. This transformation is governed by the spike threshold, which depends on the history of the membrane potential on many temporal scales. While the adaptation of the threshold after spiking activity has been addressed before both theoretically and experimentally, it...

Abstract— Wavelet Package Threshold Algorithm (WPTA) is an effective tool for reducing noise from speech signals. Threshold method plays a key role inWPTA. Invariant threshold method, which is commonly used, can lead to severe loss of speech information because of unchanged thresholds. In this paper, three adaptive threshold methods are investigated: Time-Frequency (TF) Threshold; Teager Energy...