Some advanced topics in filter design
Advanced topics in signal processing
Ten lectures on wavelets
Multirate systems and filter banks
Multirate systems and filter banks
Signal Processing for Computer Vision
Signal Processing for Computer Vision
Directional, shift-insensitive, complex wavelet transforms with controllable redundancy
Directional, shift-insensitive, complex wavelet transforms with controllable redundancy
Allpass filter design and applications
ICASSP '95 Proceedings of the Acoustics, Speech, and Signal Processing, 1995. on International Conference - Volume 02
Weighted least-squares design of recursive allpass filters
IEEE Transactions on Signal Processing
A new class of two-channel biorthogonal filter banks and waveletbases
IEEE Transactions on Signal Processing
Allpass filter design and applications
IEEE Transactions on Signal Processing
The design of approximate Hilbert transform pairs of wavelet bases
IEEE Transactions on Signal Processing
Nonstationary signal analysis using the RI-Spline wavelet
Integrated Computer-Aided Engineering
Similarity Matches of Gene Expression Data Based on Wavelet Transform
SCIA '09 Proceedings of the 16th Scandinavian Conference on Image Analysis
A new scheme for the design of Hilbert transform pairs of biorthogonal wavelet bases
EURASIP Journal on Advances in Signal Processing
Optimized filter design for a filter bank based blocker detection concept for LTE systems
EUROCAST'11 Proceedings of the 13th international conference on Computer Aided Systems Theory - Volume Part I
A new algorithm based on complex wavelet transform for protein sequence classification
Proceedings of the International Conference on Advances in Computing, Communications and Informatics
Shift-invariant texture retrieval using P- contourlet
Proceedings of the International Conference on Advances in Computing, Communications and Informatics
Complex-valued Thiran allpole filters
Digital Signal Processing
Hi-index | 0.00 |
Complex discrete wavelet transforms (DWT) have significant advantages over real wavelet transforms for certain signal processing problems. Two approaches to the implementation of complex wavelet transforms have been proposed earlier. Both approaches require discrete-time allpass systems having approximately linear-phase and (fractional) delay. This paper compares the results when different allpass systems are used. In the earlier work, maximally flat delay allpass systems were used. In this paper, it is shown that an allpass system designed according to the minimax criterion yields improvements for the complex DWT.