A new bird sound classification approach based on adaptive energy detection was
proposed to improve the recognition accuracy of bird sounds in noisy environments. In this …

In this paper we present a novel approach for using intelligent complex event processing
with Augmented Reality to achieve Adapted Augmented Reality in Cultural Heritage domain …

The performance of classic Mel-frequency cepstral coefficients (MFCC) is unsatisfactory in
noisy environment with different sound sources from nature. In this paper, a classification …

In this paper we study the problem of automatic detection of ultrasonic echo pulses in a grain
noise background considering split-spectrum (SS) algorithms as sub-optimum solutions …

The problem of acoustic detection and recognition is of particular interest in surveillance
applications, especially in noisy environments with sound sources of different nature …

A new method is proposed for sources number detection in array signal processing. This
method is based on the orthogonality of signal subspace and noise subspace. At first obtain …

Standard energy detectors (ED) are optimum to detect unknown signals in presence of
uncorrelated Gaussian noise. However, in real applications the signal duration and …

While conventional similar books focus on medical science and social aspects, this book
emphasizes computing science and engineering design. This feature can help with both …

Recent advancements in telemedicine have shown the trend of using smart phones and
other portable computing devices to gather ECG recordings from patients remotely …