Topic
Impulse noise
About: Impulse noise is a research topic. Over the lifetime, 4816 publications have been published within this topic receiving 63970 citations.
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Papers
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TL;DR: A low-complexity, suboptimum decoding metric is derived and analyzed employing the cutoff rate as a performance criterion and the performance achieved on the real and the complex AWCN channels is compared.
Abstract: The transmission over the memoryless additive white Class-A noise (AWCN) channel is considered. For uncoded transmission, an exact expression for the symbol error rate is derived. For coded transmission, the Chernoff bound on the pairwise error probability is calculated and the performance achieved on the real and the complex AWCN channels is compared. Moreover, a low-complexity, suboptimum decoding metric is derived and analyzed employing the cutoff rate as a performance criterion.
104 citations
TL;DR: In this paper, the impulse noise damage risk criteria based on conclusions of independent British and American studies and on the work of other research workers in this field are presented, and the variables that must be considered in determining the potential hearing hazard and in the practical application of the criteria are presented.
Abstract: This paper presents impulse‐noise damage‐risk criteria based on conclusions of independent British and American studies and on the work of other research workers in this field. Most of the studies that led to this criterion were performed with noise from small arms, but the criterion is general enough to permit assessment of most other types of impulse noise. The variables that must be considered in determining the potential hearing hazard and in the practical application of the criteria are presented, and the parameters that must be measured are defined. The measurement technique and type of transducers to be used are discussed.
103 citations
TL;DR: This paper shows that signal averaging can be formulated as a problem of minimization of a criterion function minimization, and new weighted averaging methods are introduced, including weighted averaging based on criterionfunction minimization (WACFM) and robust /spl epsi/-insensitive WACFM.
Abstract: Signal averaging is often used to extract a useful signal embedded in noise. This method is especially useful for biomedical signals, where the spectra of the signal and noise significantly overlap. In this case, traditional filtering techniques introduce unacceptable signal distortion. In averaging methods, constancy of the noise power is usually assumed, but in reality noise features a variable power. In this case, it is more appropriate to use a weighted averaging. The main problem in this method is the estimation of the noise power in order to obtain the weight values. Additionally, biomedical signals often contain outliers. This requires robust averaging methods. This paper shows that signal averaging can be formulated as a problem of minimization of a criterion function. Based on this formulation new weighted averaging methods are introduced, including weighted averaging based on criterion function minimization (WACFM) and robust /spl epsi/-insensitive WACFM. Performances of these new methods are experimentally compared with the traditional averaging and other weighted averaging methods using electrocardiographic signal with the muscle noise, impulsive noise, and time-misalignment of cycles. Finally, an application to the late potentials extraction is shown.
103 citations
29 Nov 2004
TL;DR: This work proposes a turbo decoding which is suitable for AWAN channels and shows the BER (bit error rate) performance of the proposed turbo decoding in a class A noise environment by computer simulation.
Abstract: Power line channels often suffer from impulsive interference generated by electrical appliances. Therefore, power line communication (PLC) degrades due to such impulsive interference. Middleton's class A noise model is frequently utilized for the modeling of such impulsive noise environments. We deal with turbo decoding for turbo codes over an additive white class A noise (AWAN) channel. We propose a turbo decoding which is suitable for AWAN channels. In addition, we show the BER (bit error rate) performance of the proposed turbo decoding in a class A noise environment by computer simulation.
101 citations
01 Jan 1997
TL;DR: This chapter proposes an algorithm based on rank ordered differences (ROD) that are calculated from the data of the current image flame, and the preceding and succeeding motion-compensated frame that is able to detect both thin scratches and blotches.
Abstract: Publisher Summary Old movies are often valuable historical records, but most of them progressively deteriorate in visual quality during the years, decreasing their usefulness. To avoid distortions in the unaffected parts of the image, first the locations of the blotches and scratches have to be detected before the restoration algorithm can be applied. This chapter proposes an algorithm based on rank ordered differences (ROD) that are calculated from the data of the current image flame, and the preceding and succeeding motion-compensated frame. The ROD detector presented in the chapter is a modified form of the signal-dependent rank ordered mean filter (SD-ROM) used for restoration of an impulse noise corrupted image. While the SD-ROM filter works exclusively in the spatial area of one image frame and is only able to remove one or two pixel wide distortions, the ROD filter is designed to work on image sequences. It is able to detect both thin scratches and blotches. The chapter also compares the new algorithm to existing detection algorithms in the form of probability plots and images indicating the correct, false, and missing detections.
101 citations