Digital signal processing (DSP) is the science and technology domain dealing with signals in a digital representation and the processing methods of these signals. DSP and analog signal processing are subfields of signal processing. Since the goal of DSP is usually to measure or filter continuous real-world analog signals, the first step is usually to convert the signal from an analog to a digital form, by using an analog to digital converter. Often, the required output signal is another analog input signal for neuronal models. The neuronal pictures analysis is then a new field of digital processing of signals. It is possible to use it to identification of chosen objects given in the form of bitmap.
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Boniecki P., Przybył J., (2006)., Autoasocjacyjna sieć neuronowa jako narzędzie do nieliniowej kompresji danych: Journal of Research and Applications in Agricultural Engineering (1 '2006), str. 37-41.
Boniecki P., (2004). Sieci neuronowe typu MLP oraz RGB jako komplementarne modele aproksymacyjne w procesie predykcji plonu pszenżyta: Journal of Research and Applications in Agricultural Engineering, POZNAŃ, (1'2004), Vol. 49(1), str. 28-33.
Boniecki P., Piekarska-Boniecka H., (2004). The SOFM Neural Network in the Process of Identification of Selected Orchard Pests: Journal of Research and Applications in Agricultural Engineering, Vol 49(4), p. 5-10, Poznań.
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