Turning signals into data: sampling, Nyquist, FFT bins, SNR, filters and quantisation
Sample at least twice the highest frequency to avoid aliasing.
Frequency represented by the k-th bin of an N-point FFT.
Spacing between adjacent FFT bins.
Ratio of signal power to noise power, in decibels.
Best possible SNR (dB) of an ideal b-bit converter.
Express a power ratio in decibels.
Express a voltage/amplitude ratio in decibels.
Corner frequency of a simple RC low/high-pass filter.
Time for an RC circuit to charge to ~63% of final value.
The ideal interpolation kernel for reconstructing sampled signals.
Raw data rate from sample rate, bit depth and channels.
Frequency an under-sampled tone masquerades as.
Output of a filter is the convolution of input and impulse response.
Convert a decibel gain back to a linear amplitude factor.
Ratio of harmonic energy to the fundamental.