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Digital Signal Processing is the art of digitizing an analog waveform, and then applying mathematical algorithms to the data. Often the data signal is converted back into an analog signal.
Key Benefits
- Time invariant: Once a filter or complex algorithm is developed, it does not change
- Adaptive: For cases where the exact tuning of the algorithm needs to change, adapting to new conditions
- Cost / Performance: With modern semiconductors, a significant cost benefit can be achieved over conventional techniques
Capabilities
- DSP is what some of us here enjoy! We have implemented many algorithms on a wide variety of hardware platforms, from dedicated Digital Signal Processors, to low-end microcontrollers.
- FFT: Fast Fourier Transforms of different topologies and matrix
- IIR: The usual choices of Infinite Impulse Response filtering
- FIR: Most variants of design of Finite Impulse Response filtering
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