Highly computationally efficient state filter based on the delta operator
نویسندگان
چکیده
منابع مشابه
Computationally efficient QMF filter banks
tion which provides performances comparable to that We show now that a near—perfect replica R(n) of of conventional QMF filter banks, but with a compu— x(n), with s—transform I(s) may be reconstructed tational complexity which is significantly lower from the N channel signals. This is done by insar— than with QNF banks or earlier pseudo-QMF banks. ting N-l zero-valued aamples between auccassiva...
متن کاملEfficient State-Based CRDTs by Delta-Mutation
CRDTs are distributed data types that make eventual consistency of a distributed object possible and non ad-hoc. Specifically, state-based CRDTs achieve this by sharing local state changes through shipping the entire state, that is then merged to other replicas with an idempotent, associative, and commutative join operation, ensuring convergence. This imposes a large communication overhead as t...
متن کاملComputationally highly efficient mixture of adaptive filters
We introduce a new combination approach for the mixture of adaptive filters based on the set-membership filtering (SMF) framework. We perform SMF to combine the outputs of several parallel running adaptive algorithms and propose unconstrained, affinely constrained and convexly constrained combination weight configurations. Here, we achieve better trade-off in terms of the transient and steadyst...
متن کاملAnalysis of mammographic microcalcifications using a computationally efficient filter bank
We present a new method for classification of malignant and benign clusters of microcalcifications in digital mammograms. A computationally efficient infinite impulse response (IIR) quadrature mirror filter (QMF) bank is used as a tool for extracting texture and shape features. The filter bank splits the input image into four subbands: low-low band, low-high band, high-low band and highhigh ban...
متن کاملA computationally efficient cochlear filter bank for perceptual audio coding
Many applications in auditory modeling require analysis filters that approximate the frequency selectivity given by psychophysical data, e.g. from masking experiments using narrow-band maskers. This frequency selectivity is largely determined by the spectral decomposition process inside the human cochlea. Currently used spectral decomposition schemes for masking modeling in audio coding general...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: International Journal of Adaptive Control and Signal Processing
سال: 2019
ISSN: 0890-6327,1099-1115
DOI: 10.1002/acs.2995