Power spectrum estimation is one of the important research contents of digital signal processing. Power spectrum estimation is divided into classic power spectrum estimation and modern power spectrum estimation. Modern power spectrum estimation is ...

Schemes of demodulation for aircraft communications addressing and reporting system (ACARS) signal is presented in this paper. On the basis of in-depth study of the technology agreement about ACARS signal, the characteristic of ACARS signal is analyzed. ...

Procedural noise is a fundamental tool in Computer Graphics. However, designing noise patterns is hard. In this paper, we present Gabor noise by example, a method to estimate the parameters of bandwidth-quantized Gabor noise, a procedural noise function ...

In this paper, we present a denoising technique that is capable for preserving the fine details and edges in the restored image more effectively in blind condition. We also introduce a new edge detection method to detect edges effectively in noisy ...

An approach of power spectrum estimation is utilized to extract the feature vectors from acoustic signal radiated from different types of moving vehicles. A method of feature selection based on principal component analysis (PCA) is proposed to ...

In this paper, first, the performance of the Wiener filter in the frequency domain for image restoration is compared with that in the space domain on images degraded by white noise. After finding that the Wiener filter in the frequency domain is more ...

AR process's denoising methods are discussed in this paper whose system response being perceived under the additive white noise, within the two discussed methods, the Formula Analysis method is proved less satisfactory through experiments results ...

This paper describes the design of an automobile forward collision avoidance system based on digital beamforming techniques. The advantages of using digital beamforming over the existing system is stressed upon. In the proposed system, an adaptive array ...

A method for extracting a sound signal from a particular area that is surrounded by multiple ambient noise sources is proposed. This method performs several fixed beamformings on a pair of small microphone arrays separated from each other to estimate ...

In this work an attempt is made to compare the spectrum of ac conductivity time series, eries, on various frequencies, of low porosity geomaterial samples that were contaminated by hydrocarbon compounds and others that were not influenced by ...

We present a nonlinear inverse filtering approach to problems such as power spectrum estimation of stationary time series or deconvolution of a blurred image. The technique is based on eigenvalue optimization and a numerical treatment may therefore be ...