In this paper we propose a digital background adaptive calibration technique for correcting offset and gain mismatches in multi-path sigma-delta (ZA) modulators. The proposed technique allows us to cancel the spurious tones introduced by offset and gain mismatches among the paths only by processing the digital output, without interfering with the operation of the modulator. This solution is als...

Genomic copy number variation underlies genetic disorders such as autism, schizophrenia, and congenital heart disease. Copy number variations are commonly detected by array based comparative genomic hybridization of sample to reference DNAs, but probe and operational variables combine to create correlated system noise that degrades detection of genetic events. To correct for this we have explor...

Noise immunity is becoming one of the most important design parameters for deep-sub-micron (DSM) technologies. Asynchronous circuits seem to be a good candidate to alleviate the problems originatedby simultaneousswitching noise. However, they are also more sensitive than synchronous ones to spurious signal transitions and delay variations produced by crosstalk noise. This paper addresses the pr...

Periodic noises are unwished and spurious signals that create repetitive pattern on images and decreased the visual quality. Firstly, this paper investigates various methods for reducing the effects of the periodic noise in digital images. Then an adaptive optimum notch filter is proposed. In the proposed method, the regions of noise frequencies are determined by analyzing the spectral of noisy...

Sigma-delta modulators use a noise-shaping technique to curtail the noise power in band of interest during digital-to-analog conversion. Error feedback modulator employs an efficient transfer function for time varying inputs than any other sigma-delta modulators. However, efficiency conventional degrades and quantizer saturation issue provokes when input signal reaches full scale. This work pro...

the volterra model is widely used for nonlinearity identification in practical applications. in this paper, we employed volterra model to find the nonlinearity relation between electroencephalogram (eeg) signal and the noise that is a novel approach to estimate noise in eeg signal. we show that by employing this method. we can considerably improve the signal to noise ratio by the ratio of at le...

Fluxgate magnetometers are, possibly, the simplest and most convenient magnetic flux sensors yet capable, in controlled environments with some well-conceived technical embellishments, to detect fields order of 50nT or less. In practice, they are limited by presence unwanted contaminating signals, these include sensor noise floor as well noise-contamination target signal interest. The Residence ...

Substrate noise generated by digital circuits on mixed-signal ICs can disturb the sensitive analog/RF circuits, such as Low Noise Amplifier (LNA), sharing the same substrate. This paper investigates the adverse impact of the substrate noise on a high frequency cascode LNA laid out on a lightly doped substrate. By studying the major noise coupling mechanisms, a new and efficient modeling method ...

A dual RF-receiver preceded by discrete-step attenuators is implemented in 65nm CMOS and operates from 0.3– 1.0 GHz. The noise of the receivers is reduced by cross-correlating the two receiver outputs in the digital baseband, allowing attenuation of the RF input signal to increase linearity. With this technique a displayed average noise level below -169 dBm/Hz is obtained with +25 dBm IIP3, giv...

objective(s): microarrays are potential analyzing tools for genomics and proteomics researches, which is in needed of suitable substrate for coating and also hybridization of biomolecules.   materials and methods: in this research, a thin film of oxidized agarose was prepared on the glass slides which previously coated with poly-l-lysine (pll). some of the aldehyde groups of the activated agaro...