In this paper, a restoration approach for noisy image is proposed where a boundary resetting boundary discriminative noise detection (BRBDND) and a median filtering with smallest window (MFSW) are applied. In the proposed image restoration approach, two stages are involved: noise detection and noise replacement. The BRBDND is used to detect noisy pixels in an image. If a pixel is uncorrupted, t...

Every speech recognition system contains a speech/non-speech detection stage. Detected speech sequences are only passed through the speech recognition stage later on. In a very noisy environment, the noise detection stage is generally responsible for most of the recognition errors. Indeed, many detected noisy periods can be recognized as a vocabulary word. This manuscript provides solutions to ...

Driver fatigue is an important factor in traffic accidents, and the development of a detection system for driver fatigue is of great significance. To estimate and prevent driver fatigue, various classifiers based on electroencephalogram (EEG) signals have been developed; however, as EEG signals have inherent non-stationary characteristics, their detection performance is often deteriorated by ba...

Chaotic systems are widely used to detect the weak signal of the noise background. The effect of the noise in the detection is often ignored because of the characteristics of sensitive to certain signals and inert to noise. However, it's found that chaotic system has low noise immunity for some different variance of noise after a large number of experiments, which makes mistake for the signal t...

background and aim: spatial hearing is one of the most important functions of binaural hearing processing that is based on detection of fine interaural time and interaural intensity difference. spatial hearing is beyond auditory localization and lateralization. it helps auditory scene analysis and target stream segregation from other simultaneous sound sources. this function is important in spe...

changes in dynamic properties of structures indicate occurrence of damages in the structures. in this paper, a new two stage algorithm for damage detection of large structure is introduced. a modified residual force method is utilized to locate the damage regions in structures, especially barrel vaults, and then the enhanced charged system search (css) algorithm is used to quantify the amount o...

This paper presents an efficient method of quasi-periodic noise detection and filtering. Taking into account that periodic noise leaves peaks in the amplitude spectrum, the proposed approach focuses on their detection and elimination. The detection is performed semiautomatically using a local median whereupon the localized peaks are eliminated by a modified Gaussian notch filter. The proposed a...

The well-known sonar equation (SE) is the classical method of predicting passive sonar performance. The SE is derived assuming both the signal wavefront and noise field directionality are known exactly. As a consequence, the SE depends only on post-detection signal-to-noise ratio (SNR). Detection performance calculations in uncertain environments with known noise field directionality has been p...

Noisy image edge detection is one of the major areas of work in image processing. Edge detection of the noise-free images is much easier than finding the edge of noisy images. But in practice, many of the images are imbued with noise. This paper will present a new algorithm based on morphology operation to eliminate noise and perform correct edge detection simultaneously. The algorithm is appli...

Magnetic anomaly detection (MAD) is a passive approach for detection of a ferromagnetic target, and its performance is often limited by external noises. In consideration of one major noise source is the fractal noise (or called 1/f noise) with a power spectral density of 1/fa (0<a<2), which is non-stationary, self-similarity and long-range correlation. Meanwhile the orthonormal wavelet decompos...