Keysight Technologies. has been granted a patent for methods and systems that enhance signal analyzers by automatically identifying and removing spurious energy spikes from displayed signals. This process involves setting a predetermined amplitude threshold and utilizing processors or specialized circuitry to improve signal clarity. GlobalData’s report on Keysight Technologies gives a 360-degree view of the company including its patenting strategy. Buy the report here.
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According to GlobalData’s company profile on Keysight Technologies, Network traffic analysis was a key innovation area identified from patents. Keysight Technologies's grant share as of July 2024 was 73%. Grant share is based on the ratio of number of grants to total number of patents.
Spurious energy spike reduction in signal analyzers
The granted patent US12072361B2 outlines a method and device for effectively reducing or removing spurious energy spikes displayed on a signal analyzer. The method involves displaying a signal in the absence of an input signal and establishing a predetermined amplitude threshold to identify energy spikes considered spurious. This identification process is automated, allowing the signal analyzer to classify and subsequently reduce or eliminate these spurious spikes from the display. The method can be initiated automatically upon powering on the device, after a set time period, or through user interaction.
Further details of the method include the automatic determination of a standard deviation of energy levels to set the amplitude threshold, as well as the classification of frequency domain representations into bins to identify spurious spikes. The device employs advanced techniques such as creating a sparse array to represent the frequency spectrum of the spurious spikes and performing an inverse fast Fourier transform (IFFT) to obtain a time-domain representation. This enables the subtraction of spurious values from the displayed signal, ensuring a clearer and more accurate representation of the input signal. The patent emphasizes the automation of these processes, enhancing the efficiency and reliability of signal analysis.
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GlobalData Patent Analytics tracks bibliographic data, legal events data, point in time patent ownerships, and backward and forward citations from global patenting offices. Textual analysis and official patent classifications are used to group patents into key thematic areas and link them to specific companies across the world’s largest industries.
