Digital Signal Processing

For more complex embedded control solutions digital signal processing is applied. Digital signal processing (DSP) is the discipline of signals in a digital representation and the processing methods of these signals. DSP includes subfields like: audio and speech signal processing, sonar and radar signal processing, sensor array processing, spectral estimation, statistical signal processing, image processing, signal processing for communications, biomedical signal processing, etc. Since the goal of DSP is usually to measure or filter continuous real-world analog signals, the first step is 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 output signal, which requires a digital to analog converter. The algorithms required for digital signal processing are frequently implemented using specialised micro processors the so called DSPs. For faster applications FPGAs might be used or for even faster applications ASICs might be designed specifically. For slow applications such as flame scanning, a traditional slower processor such as a microcontroller can cope.

Examples of Digital Signal Processing:

• Active Sportstiming System
• Digital Software Telescope
• Public Transport Loop Transceiver