{"id":22255,"date":"2025-02-12T18:24:19","date_gmt":"2025-02-12T18:24:19","guid":{"rendered":"https:\/\/liquidinstruments.com\/?p=22255"},"modified":"2025-06-25T16:30:51","modified_gmt":"2025-06-25T16:30:51","slug":"improving-snr-with-a-boxcar-averager","status":"publish","type":"post","link":"https:\/\/liquidinstruments.com\/webinars\/improving-snr-with-a-boxcar-averager\/","title":{"rendered":"Improving the SNR of low-duty-cycle signals with a boxcar averager","gt_translate_keys":[{"key":"rendered","format":"text"}]},"content":{"rendered":"

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Webinar details<\/b><\/span><\/h2>\n

Date:<\/strong> February 13, 2025<\/span><\/p>\n

Speaker:<\/strong> Laura Becerra, Ph.D.<\/a><\/span><\/p>\n

Co-host:<\/strong> Optica<\/a><\/span><\/p>\n\n <\/div>\n <\/div>\n

\n Watch now<\/span><\/a>\n \n \n \n <\/div>\n <\/div>\n <\/div>[vc_column_text css=””]<\/p>\n

Overview<\/span><\/h2>\n

A boxcar averager<\/a> enhances the signal-to-noise ratio (SNR) of periodic signals. This powerful tool is commonly employed in characterization techniques such as microscopy, sensor signal acquisition, and telecommunications. While alternative approaches like lock-in detection can also filter out high-frequency noise components, the boxcar averager offers distinct advantages for processing low-duty-cycle signals. <\/span><\/p>\n

In this webinar, we explore the fundamental principles of the boxcar averager and compare its applications to other averaging techniques. We also demonstrate its capabilities using Moku Cloud Compile<\/a>, a versatile tool included on FPGA-based Moku<\/a> devices that enables users to quickly deploy custom functions with no FPGA programming experience required. For expert insights on extracting signals from periodic, low-duty-cycle data using a boxcar averager, deploying premade bitstreams with Moku Cloud Compile, and optimizing your setup for real-time analysis, check out our webinar Q&A blog<\/a>. <\/span><\/p>\n

Watch on demand to:<\/span><\/h2>\n