Digital Adaptive Filters TRIZ Cases
- Battery Equivalent Circuit Parameter Estimation for Accurate SOC
Sliding-window recursive least squares updates battery circuit parameters from voltage and current data to improve SOC and voltage prediction.
- Forgetful Bloom Filter Using Leaky Bitcells for Element Removal
Leaky bitcells with capacitive discharge let a bloom filter forget stored data over time, avoiding rebuilds and counter overhead.
- Movable-Tap Digital Equalizer for Low-Complexity ISI Reduction
Movable taps and overlapped coefficients cut ISI and noise amplification while reducing equalizer hardware and power use.
- Pipelined ADC Background Calibration for Gain and Memory Errors
Adaptive LMS background calibration corrects pipelined ADC gain and memory errors while pausing training signals to avoid clipping and data loss.
- Adaptive Filter Resource Sharing for Faster Coefficient Convergence
Dynamic sharing of computational blocks cuts adaptive filter power and cost, while offset injection helps preserve coefficient convergence speed.
- Navigation State Estimation With Observability-Constrained Kalman Filtering
Adjusting transition and observation matrices preserves non-observable error axes, improving EKF navigation coherence and precision.