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The results indicate that desktop computer manufacturers currently achieve energy savings that exceed those required by the Energy Star label.
so it can be efficient and flexible than a regular desktop computer.
Open accessProceedings ArticleDOI
Stephen H. Edwards, N. Dwight Barnette 
28 Oct 2004
17 Citations
Students show a clear preference for desktop computers in this environment.
Therefore, the selection of appropriate computer arithmetic architecture is an important issue in voltage-overscaled signal processing system design.
Based on speed alone, the portable could replace many desktop computers.
This yields a prediction of how many customers may require voltage mitigation for a particular CVR program.
A desktop personal computer can be greatly extended in usefulness by attaching it to a local area network and implementing a full set of network protocols, just as one might provide for a mainframe computer.
This approach can be used to choose the appropriate computer arithmetic architecture in voltage-overscaled signal processing systems.
Our results show that, for a large range of design objectives, voltage scaling is effective in efficiently trading off performance and energy, and that the choice of optimal architecture and circuits does not change much during voltage scaling.

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Amplitude filtering methods in Fourier optics
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Research on TikTok and body image outcomes reveals various insights. Studies show that TikTok content, particularly challenges like the Coin, A4 Waist, and Spider Leg challenges, promotes thin ideals, leading to negative body image concerns. Additionally, public reactions to body-positive posts on TikTok, like Nessa May's, highlight the impact of normative beauty standards on women and the importance of self-love and confidence. Furthermore, the way individuals use TikTok, whether actively or passively, is associated with their appearance- and weight-esteem, with social comparison playing a mediating role. Moreover, correlations exist between time spent on TikTok, use of beauty filters, and satisfaction with self-image, emphasizing the need for further exploration of filter use and its impact on users' well-being.
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ECG interpretation plays a vital role in accurate diagnosis and treatment planning across various medical conditions. It allows for the assessment of cardiac rate, identification of conduction blocks, detection of myocardial ischemia, diagnosis of life-threatening arrhythmias, and evaluation of drug effects. Advanced signal processing algorithms help in removing noise from ECG signals, enhancing diagnostic value, and streamlining the interpretation process, leading to more efficient and confident diagnoses. Clinical context and prior exposure to ECG diagnoses significantly impact diagnostic accuracy, emphasizing the importance of integrating ECG interpretation with clinical knowledge for improved diagnostic outcomes. Additionally, the application of artificial intelligence-augmented ECG algorithms shows promise in risk stratification, diagnosis, and interpretation, further enhancing patient care and clinical workflow.
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What is the role of FIR filters in biomedical signal processing?
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