Real-time time-frequency domain signal analysis for electronics support measure systems on FPGA
Autor: | Mehmet Ispir, Alper Yildirim, K. Kerem Oktem |
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Rok vydání: | 2013 |
Předmět: |
Signal processing
Computer science business.industry Speech recognition ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION Short-time Fourier transform Grayscale Signal Multidimensional signal processing symbols.namesake Fourier transform Computer Science::Computer Vision and Pattern Recognition Frequency domain Digital image processing symbols Computer vision Time frequency domain Detection theory Artificial intelligence Signal transfer function business Digital signal processing |
Zdroj: | SIU |
DOI: | 10.1109/siu.2013.6531421 |
Popis: | In this work, we have presented a real-time FPGA based electronic support measure processor detecting and identifying the signals in downconverted intermediate frequency band. The design is based on taking short time Fourier transform of the incoming signal to obtain a two dimensional gray scale image. The image is then binarized by using an adaptive binarization technique for signal detection and processed using image processing algorithms. |
Databáze: | OpenAIRE |
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