A new multiuser detector for direct-sequence codedivision multiple-access communication systems is described. The proposed detector divides the received signal stream into a number of overlapping windows and decorrelates them window by window. This scheme is justified by an analysis on the convergence and decay rate of the impulse response. Based on the results, a signaladapted criterion is dev...

In many signal processing applications, such as EEG analysis, the non-stationary signal is often required to be segmented into small epochs. This is accomplished by drawing the boundaries of signal at time instances where its statistical characteristics, such as amplitude and/or frequency, change. In the proposed method, the original signal is initially decomposed into signals with different fr...

This paper aims to develop an Adaptive Sliding Kalman Filter (ASKF) by fusing the concept of change detection in a data stream, adapting noise covariance matrices and the Sliding Kalman filter (SKF). Adaptive Kalman filtering (AKF) scheme modifies the noise covariance matrix (Q and R) value based on a window of past innovation sequence whereas SKF is a window based filtering technique which use...

One of the main approaches for personalization of activity recognition is the generation of the classification model from user annotated data on mobile itself. However, giving the resource constraints on such devices there is a need to examine the effects of system parameters such as the feature extraction parameter that can affect the performance of the system. Thus, this paper examines the ef...

The fixed-length sliding window approach is widely used in video search applications. This approach computes the similarity between a given query and each windowed sequence, and determines whether their similarity exceeds a predefined threshold. However, using the fixed window length and the predefined threshold is inflexible for detecting video copies that might have been derived by applying a...

Detecting Null symbols in a video data frame comprises sending OFDM symbols through a sliding windowed correlation process having a correlation window length proportional to a cyclic prefix length and a delay equal to a FFT size of the symbols, wherein output peaks of the process occur where two similar portions of the symbols coincide; checking peaks in windows sized equal to a duration of a s...

The restarting automaton is a special kind of the linear bounded automaton with a read/write window of fixed length. It works in cycles, reducing the length of the actual word in each cycle. We study several versions of restarting automata and we show several hierarchies of language classes recognized by them with respect to the size of the read/write-window.

Short-time Fourier Transform (STFT) as a class of the time-frequency analysis have been utilised to deliver a fast-speed, accurate and low-variation BOTDR (Brillouin Optical Time Domain Reflectometer) system. The different window functions applied in the signal processing are important to improve the spatial resolution, frequency resolution, and variance of the BOTDR and to detect small event i...