This paper shows that the performance of the Hoppeld network for solving optimization problems can be improved by using a new activation (output) function. The eeects of the activation function on the performance of the Hoppeld network are analyzed. It is shown that the sigmoid activation function in the Hoppeld network is sensitive to noise of neurons. The reason is that the sigmoid function i...

the study was conducted on a group of 90 traffic policemen aged 20-50 years and working in and around patiala district to assess their knowledge, attitude, and practices toward the ill effects caused by traffic noise on health. the subjects were required to fill up a questionnaire regarding their self‑assessment of hearing ability, noise‑related attitudes, and the use of personal protective equ...

Noise reduction has been a traditional problem in image processing. Recent wavelet thresholding based denoising methods proved promising, since they are capable of suppressing noise while maintaining the high frequency signal details. However, the local space-scale information of the image is not adaptively considered by standard wavelet thresholding methods. In this paper, a new type of thresh...

A novel scheme for restoration of color images is presented. The proposed scheme has two phases; in the first phase it detects the pixels corrupted with impulse noise by employing the tools of mathematical morphology and the degree of noisiness is labeled by a fuzzy membership function. Subsequent phase uses a linear weighted filter that attempts to reduce noise in an efficient manner. Experime...

We present an algorithm for removing environmental noise from neurophysiological recordings such as magnetoencephalography (MEG). Noise fields measured by reference magnetometers are optimally filtered and subtracted from brain channels. The filters (one per reference/brain sensor pair) are obtained by delaying the reference signals, orthogonalizing them to obtain a basis, projecting the brain ...

Median filter is widely used to remove impulse noise without blurring sharp edges. However, when noise level increased, or with thin edges, median filter may work poorly. This paper proposes a new filter, which will detect edges along four possible directions, and then replace noise corrupted pixel with estimated noise-free edge median value. Simulations show that the proposed multi-stage direc...

in general, energy prices, such as those of crude oil, are affected by deterministic events such as seasonal changes as well as non-deterministic events such as geopolitical events. it is the non-deterministic events which cause the prices to vary randomly and makes price prediction a difficult task. one could argue that these random changes act like noise which effects the deterministic variat...