This article describes data processing for background removal, peak matching in spectrum analyses for experiments such as high-throughput experiments, which is subtracting background function from original data. We tested algorithms such as polynomial method, Whittaker-smoothing-based method, spline and morphological method, and make comparison among these common-used background removal algorithm. Using variable control for main parameters in each algorithm, and Euclidean norm for measuring the distance between original data and baseline function. We get the conclusion that morphological takes advantage in that its baseline function is nearest to original data. By analyzing theory, factor choosing and effectiveness, it is clear that regional graphic procedure and segment procedure are more effective. So further experience aim is determined.
The calculation of transcendental functions is a common step in industrial control algorithms. Taking up a large number of CPU cycles, the transcendental function calculation by software compresses the computing resources of real-time control algorithms. As the complexity of industrial control system increases, hardware accelerators have become one of the strategies to solve this contradiction. In this paper, we designed a multi-thread, high-performance, configurable hardware accelerator for transcendental functions, which is based on the iterative calculation. It supports the calculations of sine cosine, arc-tangent, modulus, exponent and logarithm. The accelerator uses the standard cell library of SMIC 40nm Eflash platform for synthesis, achieving a frequency of 200MHz and a synthesis area of 176,840um2.
Access to the requested content is limited to institutions that have purchased or subscribe to SPIE eBooks.
You are receiving this notice because your organization may not have SPIE eBooks access.*
*Shibboleth/Open Athens users─please
sign in
to access your institution's subscriptions.
To obtain this item, you may purchase the complete book in print or electronic format on
SPIE.org.
INSTITUTIONAL Select your institution to access the SPIE Digital Library.
PERSONAL Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.