Simple and Accurate Fluorescence Lifetime Measurement Scheme Using Traditional Time-Domain Spectroscopy and Modern Digital Signal Processing

2016 ◽  
Vol 34 (21) ◽  
pp. 5033-5043 ◽  
Author(s):  
Amirhassan Zareanborji ◽  
Huayong Yang ◽  
Graham E. Town ◽  
Yanhua Luo ◽  
Gang-Ding Peng
Keyword(s):  
Signal Processing ◽  
Digital Signal Processing ◽  
Fluorescence Lifetime ◽  
Time Domain ◽  
Digital Signal ◽  
Lifetime Measurement ◽  
Time Domain Spectroscopy ◽  
Measurement Scheme ◽  
Fluorescence Lifetime Measurement

scholarly journals A novel quasi-peak-detector for time-domain EMI-measurements

2005 ◽  
Vol 2 ◽  
pp. 27-32 ◽  
Author(s):  
F. Krug ◽  
S. Braun ◽  
P. Russer
Keyword(s):  
Signal Processing ◽  
Digital Signal Processing ◽  
Measurement System ◽  
Time Domain ◽  
Electromagnetic Interference ◽  
Digital Signal ◽  
Peak Detection ◽  
Peak Detector ◽  
Measurement Results ◽  
Signal Recording

Abstract. In this paper, an advanced ultra-fast, broadband time domain EMI measurement system is described. Measurements were performed in the 30–1000MHz range. The digital signal processing of EMI measurements allows to emulate in real-time the modes of conventional analogous equipment, e.g. Peak-, Average-, RMS- and Quasi-Peak- Detector. With the presented time domain measurement system the measurement time can be reduced by a factor of 10. A novel signal recording routine for time-domain EMI (TDEMI) measurements and Quasi-Peak-Detection is described. Measurement results obtained from the investigation of a drillmachine, monitor and laptop obtained with the timedomain electromagnetic interference (TDEMI) measurement system are discussed. The results obtained with the described system have been compared with measurements performed with a conventional EMI receiver.

Improving time-domain EMI measurements through digital signal processing

2015 ◽  
Vol 4 (2) ◽  
pp. 82-91 ◽  
Author(s):  
M. A. Azpurua ◽  
M. Pous ◽  
S. Cakir ◽  
M. Cetinta ◽  
F. Silva
Keyword(s):  
Signal Processing ◽  
Digital Signal Processing ◽  
Time Domain ◽  
Digital Signal

New Time-Domain Approach for Digital Signal Processing: A Set of Experimental Measures for Systems with High Transmission Rates

2019 ◽  
Vol 28 (05) ◽  
pp. 1950072
Author(s):  
Mauricio Silveira ◽  
Gustavo Varella Figueiredo ◽  
Robinson Gaudino Caputo
Keyword(s):  
Signal Processing ◽  
Digital Signal Processing ◽  
Fiber Optics ◽  
Time Domain ◽  
Theoretical Approach ◽  
Digital Signal ◽  
Single Pulse ◽  
Polynomial Equation ◽  
Data Encryption ◽  
Current Time

The essential purpose of this paper is to introduce to the current literature a new theoretical approach on how to implement the process of encoding data using a unique treatment with respect to the digital signal processing. Some relationships between a set of digital pulses and a special class of real polynomials allow us to identify the generation of a single pulse with an intrinsic dependence on the zero values of an arbitrary equation represented by a polynomial equation, where this direct match is established through an analytic operator. By using an ordinary field-programmable gate array architecture, it is possible to validate our theoretical approach, and we are presenting some experimental measurements, as well as one application on how to build a commercial data compressor for fiber optics. The algorithm here introduced presents an innovative technique, and its performance is faster per comparison. Furthermore, thanks to the math-to-time-domain transformations, it tends to overcome the current time required to process polynomial equations, which are involved in the data compression and data encryption systems.

Digital Signal Processing

2009 ◽  
pp. 53-68
Author(s):  
Terrence D. Lagerlund
Keyword(s):  
Signal Processing ◽  
Digital Signal Processing ◽  
Frequency Domain ◽  
Time Domain ◽  
Clinical Neurophysiology ◽  
Digital Signal ◽  
Digital Filtering ◽  
Digital Processing ◽  
Domain Analysis ◽  
Frequency Domain Analysis

This chapter reviews the principles of digitization, the design of digitally based instruments for clinical neurophysiology, and several common uses of digital processing, including averaging, digital filtering, and some types of time-domain and frequency-domain analysis. An understanding of these principles is necessary to select and use digitally based instruments appropriately and to understand their unique features.

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