Agilent Technologies

About: Agilent Technologies is a company organization based out in Santa Clara, California, United States. It is known for research contribution in the topics: Signal & Mass spectrometry. The organization has 7398 authors who have published 11518 publications receiving 262410 citations. The organization is also known as: Agilent Technologies, Inc..

Method of fast bi-cubic interpolation of image information

Abstract: A method for interpolating a first color value associated with a first color and a second color value associated with a second color for use in generating a pixel that represents a portion of a digital image, based on a third color value that is associated with a third color. A first matrix is created and stored, comprising first coefficient values that are associated with a other values of the first color for pixels that surround the current pixel of interest. A second matrix is stored that holds second coefficient values that are associated with a second color value. Each of the first coefficient values is bitwise shifted by a pre-determined power of 2. The first color value is created and stored by applying the first coefficient values to the other values of the first color using a bitwise shift operation. The first color value is bitwise shifted by a complement of the pre-determined power of 2. As a result, a complete set of pixel values having three color values (such as Red, Green, and Blue) are created and may be used in displaying the digital image.

Electronic probe extender

Abstract: An electronic probe extender. In representative embodiments, an electronic probe extender is disclosed which includes a probe connector that is capable of electronic contact to an electronic test probe, an electronic signal conductor connected electronically to the probe connector, and an electronic probe tip connected electronically to the signal conductor. The electronic probe tip includes a tapered electronically conductive tip. The electronic probe tip is capable of electronic connection to an electronic test point.

An interferometric scanning microwave microscope and calibration method for sub-fF microwave measurements

Abstract: We report on an adjustable interferometric set-up for Scanning Microwave Microscopy. This interferometer is designed in order to combine simplicity, a relatively flexible choice of the frequency of interference used for measurements as well as the choice of impedances range where the interference occurs. A vectorial calibration method based on a modified 1-port error model is also proposed. Calibrated measurements of capacitors have been obtained around the test frequency of 3.5 GHz down to about 0.1 fF. Comparison with standard vector network analyzer measurements is shown to assess the performance of the proposed system.

Occurrence of Microplastic Pollution at Oyster Reefs and Other Coastal Sites in the Mississippi Sound, USA: Impacts of Freshwater Inflows from Flooding.

Abstract: Much of the seafood that humans consume comes from estuaries and coastal areas where microplastics (MPs) accumulate, due in part to continual input and degradation of plastic litter from rivers and runoff. As filter feeders, oysters (Crassostrea virginica) are especially vulnerable to MP pollution. In this study, we assessed MP pollution in water at oyster reefs along the Mississippi Gulf Coast when: (1) historic flooding of the Mississippi River caused the Bonnet Carre Spillway to remain open for a record period of time causing major freshwater intrusion to the area and deleterious impacts on the species and (2) the spillway was closed, and normal salinity conditions resumed. Microplastics (~25 µm–5 mm) were isolated using a single-pot method, preparing samples in the same vessel (Mason jars) used for their collection right up until the MPs were transferred onto filters for analyses. The MPs were quantified using Nile Red fluorescence detection and identified using laser direct infrared (LDIR) analysis. Concentrations ranged from ~12 to 381 particles/L and tended to decrease at sites impacted by major freshwater intrusion. With the spillway open, average MP concentrations were positively correlated with salinity (r = 0.87, p = 0.05) for sites with three or more samples examined. However, the dilution effect on MP abundances was temporary, and oyster yields suffered from the extended periods of lower salinity. There were no significant changes in the relative distribution of MPs during freshwater intrusions; most of the MPs (>50%) were in the lower size fraction (~25–90 µm) and consisted mostly of fragments (~84%), followed by fibers (~11%) and beads (~5%). The most prevalent plastic was polyester, followed by acrylates/polyurethanes, polyamide, polypropylene, polyethylene, and polyacetal. Overall, this work provides much-needed empirical data on the abundances, morphologies, and types of MPs that oysters are exposed to in the Mississippi Sound, although how much of these MPs are ingested and their impacts on the organisms deserves further scrutiny. This paper is believed to be the first major application of LDIR to the analysis of MPs in natural waters.

Large-signal HBT model with improved collector transit time formulation for GaAs and InP technologies

Abstract: An analytical large-signal HBT model which accurately accounts for the intricate bias dependence of collector delay in devices fabricated in both GaAs and InP material systems is described. The strongly bias dependent collector delay function accounts for the variation of electron velocity with electric field of the collector, which has consequences for both the electron transit time and capacitance. It is shown that the new formulation significantly improves the prediction of the bias dependence of f/sub t/. As a result, simulations over a very wide range of operating conditions match measured data on a wide variety of devices. Distortion predictions are improved since the derivatives of the bias dependent delay are more accurately modeled. This new model is extracted on medium and high breakdown GaAs HBTs, and also on InP DHBTs. Simulation results are verified with comparisons to S-parameter and large-signal measurements.