This article investigates the performance of an array of multiple phase-coherent power-combined oscillators (PPOs) in terms of phase modulation (PM) noise and amplitude modulation (AM) noise. The array consists of six individual oscillator modules that generate three distinct frequencies: 10, 100 MHz, and 1 GHz. By meticulously aligning the phases, we observed a notable improvement of approximately 7.8 dB in the white frequency region for the power-combined signal's AM and PM noise. This closely matches the theoretical value of 10log(k) dB, where k is the total number of oscillators. The enhancement arises from the fact that when multiple sources are combined, the power of each source adds coherently, while the random noise adds noncoherently. Our experiments resulted in single-sideband (SSB) white phase noise levels of -182, -191, and -168 dBc/Hz for 10, 100 MHz, and 1 GHz, respectively. The corresponding white AM noise levels are approximately -191, -194, and -182 dBc/Hz. Notably, these noise levels represent some of the lowest ever reported at these frequencies. However, the AM noise results for frequencies close to the carrier do not achieve the theoretical 7.8-dB improvement due to PM-to-AM conversion caused by imperfect phase alignment of the individual summed signals. Furthermore, we discuss the use of carrier-suppressed noise measurement and propose a novel, straightforward technique for optimizing phase alignment to minimize PM-to-AM and AM-to-PM conversion in phase-coherent oscillator arrays.
Download full-text PDF |
Source |
---|---|
http://dx.doi.org/10.1109/TUFFC.2023.3341726 | DOI Listing |
BMC Med Imaging
January 2025
Electronics and Communications, Arab Academy for Science, Heliopolis, Cairo, 2033, Egypt.
Invasive breast cancer diagnosis and treatment planning require an accurate assessment of human epidermal growth factor receptor 2 (HER2) expression levels. While immunohistochemical techniques (IHC) are the gold standard for HER2 evaluation, their implementation can be resource-intensive and costly. To reduce these obstacles and expedite the procedure, we present an efficient deep-learning model that generates high-quality IHC-stained images directly from Hematoxylin and Eosin (H&E) stained images.
View Article and Find Full Text PDFSci Rep
January 2025
School of Electronics and Information Engineering, Harbin Institute of Technology, Harbin, China.
Bearings are critical in mechanical systems, as their health impacts system reliability. Proactive monitoring and diagnosing of bearing faults can prevent significant safety issues. Among various diagnostic methods that analyze bearing vibration signals, deep learning is notably effective.
View Article and Find Full Text PDFArch Dis Child Fetal Neonatal Ed
January 2025
Centre for Perinatal Research, University of Nottingham, School of Medicine, Nottingham, UK
Objective: To assess the utility of a bespoke smartphone app to map noise and vibration exposure across neonatal road ambulance journeys.
Design And Setting: Prospective observational study of ambulance journeys across a large UK neonatal transport service. Smartphones, with an in-house developed app, were secured to incubator trolleys to collect vibration and noise data for comparison with international standards.
Phys Med Biol
January 2025
Radiology, Stanford University, 1201 Welch Rd, P270, Stanford, California, 94305-6104, UNITED STATES.
Radiation dose and diagnostic image quality are opposing constraints in x-ray CT. Conventional methods do not fully account for organ-level radiation dose and noise when considering radiation risk and clinical task. In this work, we develop a pipeline to generate individualized organ-specific dose and noise at desired dose levels from clinical CT scans.
View Article and Find Full Text PDFPLoS One
January 2025
Department of Radiology, The Second Affiliated Hospital, Jiangxi Medical College, Nanchang University, Nanchang, Jiangxi, China.
Objective: This study aimed to assess the feasibility of the deep learning in generating T2 weighted (T2W) images from diffusion-weighted imaging b0 images.
Materials And Methods: This retrospective study included 53 patients who underwent head magnetic resonance imaging between September 1 and September 4, 2023. Each b0 image was matched with a corresponding T2-weighted image.
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!