Variable pulse repetition frequency prevents spectral overlap in wideband compressed sensing, enabling lower-rate ADCs and lower energy use.
Time-modulated pulse sampling captures wide RF bands at lower average ADC rates, avoiding aliasing while preserving signal reconstruction quality.
CAZAC-modulated wavelet positions break phase coherence during bandpass subsampling, reducing aliasing and improving signal reconstruction.
Wavelet-based transform filtering separates noisy signal components to raise SNR, cut bit errors, and support higher magnetic recording density.
Wavelet-based sub-band analysis isolates fewer-transition samples from noise to raise SNR and improve channel bit detection reliability.
Wavelet-based transform analysis separates noisy transitions from useful signal components to improve SNR and bit detection in data channels.
CAZAC-modulated wavelet positions break spectral coherence, reducing aliasing in sub-Nyquist bandpass sampling and improving reconstruction fidelity.
Attenuated analog signals are sliced with inherent Gaussian noise, then XOR-integrated to improve high-speed moment estimation without separate dither sources.
Projects sparse multiband signals onto wavelet or Gabor frames to enable sub-Nyquist sampling with lower power, less aliasing, and accurate recovery.
Projects sparse multiband signals onto wavelet frames before non-uniform sampling to cut data rate and power while limiting aliasing and interference.
Alternating-polarity Gaussian sub-pulses replace amplifier and local-oscillator stages, cutting UWB radar power and circuit complexity.
Sequential switch units generate alternating Gaussian-like UWB pulses, cutting circuit complexity and power use while preserving correlation accuracy.