Adaptation neighborhoods of self-organizing maps for image restoration are presented in this study. Generally, self-organizing maps have been studied for the ordering process and the convergence phase of weight vectors. As a new approach of self-organizing maps, some methods of adaptation neighborhoods for image restoration are proposed. The present algorithm creates a map containing one unit f...

In this paper, the performance of genetic algorithm (GA) is presented to estimate the blind channel parameters. 8-PSK signals are considered as modulation scheme. Channel is assumed as AWGN and has Rician probability distribution. Furthermore, channel is slow fading channel and channel parameters are assumed to be constant during the transmission of ten signals. Noisy and faded signals are obse...

Abstract— A novel PER estimation method based on the Log Likelihood Ratios of a soft output decoder is proposed. Classically, PER estimation based on soft output decoding depends on an estimate of the SNR. The contribution of this paper is a PER estimate that is not biased by such SNR estimation uncertainty. We compare the proposed estimation method with the estimator proposed by Hoher first by...

This paper proposes a new method for rejecting the Continuous Wave Interferences (CWI) in the Global Positioning System (GPS) receivers. The proposed filter is made by cascading an adaptive Finite Impulse Response (FIR) filter and a Wavelet Packet Transform (WPT) based filter. Although adaptive FIR filters are easy to implement and have a linear phase, they create self-noise in the rejection of...

Evaluations of algorithms for robust automatic speech recognition (ASR) are often based on artificial noisy speech instead of realistic noisy speech. In this paper we compare the ASR performance of speech with artificial additive noise to the performance of realistic noisy speech. All data was recorded during the same recording campaign and with nearly identical channel characteristics. The sim...

We consider the problem of designing optimal linear encoders and decoders for estimation and transmission of a signal over an analog communication channel with additive noise and a signal-to-noise ratio (SNR) constraint. The objective is to minimize the variance of the estimation error at the receiving end, subject to a real-time constraint. It has been previously shown that, for channels witho...

Introduction: Nowadays, we are witnessing an exponential use of interventional radiology techniques in different communities. After CT, interventional techniques are the second factor of increasing patients’ doses in different societies. Measuring patient doses from aforementioned methods has been recommended by many radiation protection professional organizations such as ICRP...

The turbo principle (iterative decoding between component decoders) is a general scheme, which we apply to joint source-channel decoding. As a realistic (e.g. speech parameter coding) example we discuss joint source-channel decoding for auto-correlated continuousamplitude source samples. At the transmitter the source samples are quantized and their indexes are appropriately mapped onto bitvecto...