About DSPs
Digitial Signal Processors (DSPs) are used in a broad range of applications in which discrete, raw signals can be captured and turned into data that are then used for analytical purposes. In fact, DSPs are rapidly becoming the de facto platform standard for a broad range of applications. DSPs are attractive because of their small form factor, relatively low power consumption, and computational speed. Using a DSP in an application makes the product “smarter” - signals that had been discarded are now available for real-time analytics. The results can be fed back into the system for real-time response, or fed into external applications for further analysis (or reaction). Applications where DSP makes sense include - but are not limited to:
- How important are accuracy and reliability to your application?
- Do people (or automated systems) need to react to results in real-time?
- Are there external applications/devices that could use the data your application generates? Do the signals need filtering (background noise, etc.)?
- Does your application require a high signal/noise ratio?
- What level of error and raw data correction is required by your application?
- What is the volume of calculation required?
- What are your competitors doing with respect to DSP?
Some people may look at their current application and discount use of DSP because there is not a high volume of calculations required. DSP might be viewed as too much horsepower, as overkill. Product designers, however, would be wise to consider their longer-run requirements. If there is potential down the road for “add on” uses for signals that are currently going to waste - uses that can add value, differentiate your product, keep you ahead of your competition - embedding DSP in your next rev will supply you the springboard you need for more advanced signal processing when the time comes.
Here is what Texas Instruments has to say about DSPs ...