Noise measurement

About: Noise measurement is a research topic. Over the lifetime, 19776 publications have been published within this topic receiving 308180 citations.

A new method for on wafer noise measurement

Abstract: A method for measuring the noise parameters of MESFETs and HEMTs is presented. It is based on the fact that three independent noise parameters are sufficient to fully describe the device noise performance. It is shown that two noise parameters, R/sub n/ and mod Y/sub OPT/ mod , can be directly obtained from the frequency variation of the noise figure F/sub 50/ corresponding to a 50 Omega generator impedance. By using a theoretical relation between the intrinsic noise sources as additional data, the F/sub 50/ measurement only can provide the four noise parameters. A good agreement with more conventional techniques is obtained. >

Extraction of the induced gate noise, channel noise, and their correlation in submicron MOSFETs from RF noise measurements

Abstract: An extraction method to obtain the induced gate noise (i~/sub g/~/sup 2/~) channel noise (i~/sub d/~/sup 2/~), and their cross correlation (i~/sub g/~i~/sub d/~*~) in submicron MOSFETs directly from scattering and RF noise measurements has been presented and verified by measurements. In addition, the extracted induced gate noise, channel noise, and their correlation in MOSFETs fabricated in 0.18-/spl mu/m CMOS process versus frequencies, bias conditions, and channel lengths are presented and discussed.

Method for coding an audio signal

Abstract: The invention relates to a method for coding or de-coding an audio signal combining the advantages of TNS processing and noise substitution. A time discrete audio signal is initially transformed in a frequency range in order to obtain spectral value of the temporal audio signal. A prediction of the spectral values in relation to frequency is subsequently made in order to enable spectral residual values. Areas within the spectral values encompassing spectral values with noise properties are detected . The spectral residual values are noise substituted in the noise areas, whereupon data relating to the noise areas and noise substitution are incorporated into side information pertaining to a coded audio signal.

Adaptive-neighborhood filtering of images corrupted by signal-dependent noise.

Abstract: In many image-processing applications the noise that corrupts the images is signal dependent, the most widely encountered types being multiplicative, Poisson, film-grain, and speckle noise. Their common feature is that the power of the noise is related to the brightness of the corrupted pixel. This results in brighter areas appearing to be noisier than darker areas. We propose a new adaptive-neighborhood approach to filtering images corrupted by signal-dependent noise. Instead of using fixed-size, fixed-shape neighborhoods, statistics of the noise and the signal are computed within variable-size, variable-shape neighborhoods that are grown for every pixel to contain only pixels that belong to the same object. Results of adaptive-neighborhood filtering are compared with those given by two local-statistics-based filters (the refined Lee filter and the noise-updating repeated Wiener filter), both in terms of subjective and objective measures. The adaptive-neighborhood approach provides better noise suppression as indicated by lower mean-squared errors as well as better retention of edge sharpness than the other approaches considered.

System for suppressing rain noise

Abstract: A voice enhancement logic improves the perceptual quality of a processed signal. The voice enhancement system includes a noise detector and a noise attenuator. The noise detector detects and models the noise associated with rain. The noise attenuator dampens or reduces the rain noise from a signal to improve the intelligibility of an unvoiced, a fully voiced, or a mixed voice segment.