FPGA-based lifting wavelet processor for real-time signal detection
| Autor: | Koichi Kuzume, Koichi Niijima, Shigeru Takano |
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| Rok vydání: | 2004 |
| Předmět: |
Very-large-scale integration
Signal processing Computer science Real-time computing Wavelet transform Time signal Filter (signal processing) Signal Wavelet Control and Systems Engineering Signal Processing Detection theory Computer Vision and Pattern Recognition Electrical and Electronic Engineering Field-programmable gate array Software |
| Zdroj: | Signal Processing. 84:1931-1940 |
| ISSN: | 0165-1684 |
| DOI: | 10.1016/j.sigpro.2004.06.020 |
| Popis: | This paper presents the realization of a lifting wavelet processor for signal detection on a field programmable gate array (FPGA) device. This processor implements an algorithm for detecting target portions from a signal using an integer type Haar lifting wavelet transform (IHLWT), which we proposed. Since our detection algorithm is very simple because of short filter length in the IHLWT, the VLSI can be designed using a small amount of circuitry, consisting of only 6 multipliers and 9 adders. Therefore, it can realize the high-speed detection of target signals by constructing a pipeline architecture. The VLSI is designed using hardware description language (HDL) and is simulated on the FPGA in practice. The completed prototype is tested through software-generated signals and utility-sampled signals, in which test scenarios covering several kinds of electrocardiogram (ECG) signals are examined thoroughly. From the results, it is confirmed that the proposed processor can execute target signal detection from the measured ECG signals in real time. |
| Databáze: | OpenAIRE |
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