This paper presents an iterative detector that, by thresholding the output of the matched filter, gives maximum-likelihood sequence detector (MLSD) decisions on binary, antipodally modulated symbols that have been corrupted by intersymbol interference and additive Gaussian noise. The detector will make decisions on some, but often not all, of the symbols in a transmitted sequence, and those dec...

In this work, we will introduce linear autoassociative neural (AN) network filters for the removal of additive noise from one-dimensional (1-D) time series. The AN network will have a (2 + 1) (2 + 1) architecture, and for fixed, we will show how to choose the optimal value and output coordinate from square error estimates between the AN filter outputs and the clean series. The frequency respons...

An elliptical region of the plane supports a positive-valued function whose Radon transform depends only on the slope of the integrating line. Any two parallel lines that intersect the ellipse generate equal line integrals of the function. We prove that this peculiar property is unique to the ellipse; no other convex, compact region of the plane supports a nonzero-valued function whose Radon tr...

This contribution addresses the problem of additive noise reduction using one-channel noise suppression system. A new implementation effective method is suggested and evaluated. The method consists of two independent parts. The noise estimation part is based on the noise matched filter producing an estimation of background noise without the need of a voice activity detector. The noise reduction...

Robust single-user detection is employed in a DS/CDMA system in which the noise proc(ess cent ains impulsive components. The breakdown point is computed for a mixture noise model. Noise rather than interference is shown to be the primary obstacle in achieving good performance when the signal power is low. The bit error probability expressions are also derived under a Gaussian mixture, DS/CDMA e...

The radio frequency spectrum is getting more congested day by due to the growth of wireless devices, applications, and arrival fifth generation (5G) mobile communications. This happens because a natural resource that has restricted existence. Access all devices can be granted, but in efficient way. To resolve issue, cognitive technology come out as way, it possible sense neighboring. Spectrum s...

In this paper we show that the knowledge of noise statistics contaminating a signal can be effectively used to choose an optimal Gaussian filter to eliminate noise. Very specifically, we show that the additive white Gaussian noise (AWGN) contaminating a signal can be filtered best by using a Gaussian filter of specific characteristics. The design of the Gaussian filter bears relationship with t...