Modulated Carrier System With Wavelets TRIZ Cases

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.

Wavelet analysis finds idle frequency-time cells so wireless transmissions can use underused spectrum with less co-channel interference.

Pre-generating waveform components reduces channel access latency while managing memory constraints through segmentation and preliminary action.

A signal generation method uses time domain pulses with specific side lobe characteristics to increase subcarrier density and spectral efficiency.

Continuous wavelet transformation generates scalograms that enable deep learning models to classify bit states in noisy pulsed communication signals.

Piecewise cubic polynomials and Archimedes spiral functions replace exponential modulation to minimize spectrum usage.

A reconfigurable multimode transceiver shares an IFFT block with polyphase filters to implement both OFDM and wavelet modes.

Classifies UWB carriers by interference temperature to enable adaptive power transmission, resolving narrowband coexistence limits.

Contiguous pilot symbols resolve real coefficient wavelet filter bank limitations by extracting complex information for precise phase and frequency adjustments.

A programmable delay element in an electronic duobinary filter compensates for narrow optical filtering distortions and chromatic dispersion.

A communication apparatus receiver generates complex data using wavelet and Hilbert transformers to process in-phase and orthogonal signal components.