Encoding and Decoding Temporal Signals with Spiking Bandpass Wavelets
The work reinterprets sparse spike encodings as time-causal wavelet frames with measurable bandwidths and error bounds. It introduces two families of spiking wavelets based on differences between truncated exponential kernels, providing a principled method for converting signals into digital spikes suitable for neuromorphic hardware.