Digital Signal Processing (DSP)

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Digital signal processing (DSP) is concerned with processing signals that have been acquired, usually using an analog to digital converter (ADC). In general, DSP is concerned with changing the properties of the signal or ensuring that it has certain properties, as opposed to extracting data from the signal (which would more likely fall under the province of artificial intelligence).

One of the most common applications of DSP is to filter a signal. Usually the filter has a specification in the frequency domain, and the goal is to find a good filter that fits this specification. There are a number of different types of filters that can be used for this type of problem, but they broadly fall into two groups: finite impulse response (FIR) and infinite impulse response (IIR).

Another common DSP problem is to analyze the noise characteristics of a system. This is often done at design time in order to understand the effects that certain design decisions will have on the performance of the system. Sometimes this is done after the system has been designed, with the goal of reducing the noise or correcting for it.

If you have need of a DSP expert, STI can help you. We have years of experience in this area, as well as a patent and a product, so please contact us today!