Build and optimize digital filters
signal-processing-dsp-basicsskillsetup L2★64
Tibsfox/gsd-skill-creator ↗What it does
Design and analyze discrete-time signal processing systems
Best for
Choosing ADC parameters and filter designs to avoid aliasing in embedded systems
Inputs
- · Signal sample rate
- · Frequency content of interest
- · Quantization bits
- · Filter specifications
Outputs
- · Digital filter coefficients
- · FFT magnitude spectrum
- · Quantization noise estimate
Requires
- · DSP library (NumPy/SciPy)
- · FFT algorithm
- · ADC specifications
Preconditions
- · Understanding of Nyquist criterion
- · Continuous-time signal concepts
Failure modes
- · Aliasing from insufficient sample rate
- · Spectral leakage (non-integer cycles)
- · Quantization error not dithered
- · Filter instability in IIR
Trust signals
- · Nyquist criterion and derivation
- · FIR vs IIR trade-offs
- · Windowing effects on leakage
- · Fixed-point vs floating-point issues