Showing papers on "Median filter published in 1970"

Synthesis of recursive digital filters using the FFT

Abstract: It has been shown that recursive digital filters can be synthesized using the fast Fourier transform. An algorithm for computer implementation has been developed and used in comparing the computation times and noise figures of filters synthesized in this manner with the computation times and noise figures of filters synthesized by recursion. A model has been proposed for analysis of noise in the two-pole filter. Predictions of this model have been found to be in good agreement with noise measurements.

Error analysis of optimal filtering algorithm for colored noise

Abstract: Algorithms are developed for the error analysis of the optimal filtering solution for colored noise. The types of error sources considered are those both in the imprecise specification of the model and in the improper choice of the noise statistics. The matrix differential equations have been derived permitting the calculation of the actual error covariance and the additional error due to the preceding error sources. For a case where only the error source based on the incorrect choice of the noise statistics is present, a conservative design criterion has also been established, which makes it possible to prescribe the performance of the filter for colored noise. A simple example demonstrates the utility of these results.

A Low-Complexity and Low Power Design of 2D-Median Filter

Abstract: Impulse noise removal is a very important preprocessing operation in many computer vision applications. Usually it is accomplished by median filter with excessive sorting and therefore large power. This paper presents a new design of 2D median filter that utilizes a simple conditional filtering technique, executes fewer computations than related designs while achieving superior image quality. Experimental FPGA implementation of the proposed filtering scheme is compact, fast and low-power consuming.

Application Filtering in of Digital Improving the Resolution and the Signal-to-Noise Ratio of Nuclear and Magnetic

Abstract: The digital filtering was proven to be useful in processing convolved signals In this paper an application of this method in order to improve the resolution of nuclear and magnetic resonance spectra is presented An emphasis is laid on the possibility of diminishing the noisy secondary effects The processing was achieved using the FFT algorithm Some practical results obtained are delivered

Signal filtering using hard-limited digital processing. Part 1: General description and performance with white-noise background

Abstract: The effect of hard clipping on the filtering of a sampled narrowband sinusoidal signal embedded in wideband noise is assessed by simulating the processing system on a digital computer, with particular reference to a radar pulse-Doppler signal-processing system. The noise is assumed to be uncorrelated from pulse to pulse, and the signal processing is either completely coherent or is partially coherent and partially incoherent. The narrowband signal has either a constant r.m.s. amplitude or can fade slowly relative to the duration of a processing period. Tables of processing loss relative to an ideal system are given for different combinations of the digital-system parameters.