Abstract—The time-frequency product of any function in 퐿2 (ℝ) is bounded by the uncertainty principle. This paper presents a method to design linear phase biorthogonal wavelets with the time-frequency localization as the optimality criterion, improving on the previous designs on the same theme. The design philosophy is to optimize the time-frequency product of the wavelet, after fixing the number of vanishing moments of the analysis and synthesis lowpass filters of the corresponding filter bank. The regularity of the discrete filters has also been evaluated. Index Terms—biorthogonal filter banks, linear phase, wavelets, time-frequency localization. I
We propose a novel method of constructing exact Hilbert transform (HT) pairs of wavelet bases using ...
In this paper, we analyze the perfect reconstruction property of Filtered MultiTone (FMT) systems wi...
Orthonormal bases of wavelet packets constitute a powerful tool in signal compression. It has been p...
The time-frequency product of any function in L(2) (R) is bounded by the uncertainty principle. This...
Abstract-The time-frequency product of any function in 2 (ℝ) is bounded by the uncertainty principle...
We present a novel eigenfilter-based approach to the design of time-frequency optimized, linear-phas...
The accurate and efficient representation of a signal in terms of elementary atoms has been a challe...
We present a method for designing optimal biorthogonal wavelet filter banks (FBs). Joint time-freque...
The theories and applications of the discrete wavelet transform (DWT) have developed greatly over th...
In this paper, we design time-frequency-localized two-band orthogonal wavelet filter banks using con...
We present a design of a new class of compactly supported antisymmetric biorthogonal wavelet filter ...
In this paper, we design three-band time-frequency-localized orthogonal wavelet filter banks having ...
We present a selective overview of time-frequency analysis and some of its key problems. In particul...
The notions of stoplets and cowlets are introduced in this paper. We will call a scaling function a ...
Orthonormal bases of wavelets and wavelet packets yield linear, non-redundant time-scale and time-fr...
We propose a novel method of constructing exact Hilbert transform (HT) pairs of wavelet bases using ...
In this paper, we analyze the perfect reconstruction property of Filtered MultiTone (FMT) systems wi...
Orthonormal bases of wavelet packets constitute a powerful tool in signal compression. It has been p...
The time-frequency product of any function in L(2) (R) is bounded by the uncertainty principle. This...
Abstract-The time-frequency product of any function in 2 (ℝ) is bounded by the uncertainty principle...
We present a novel eigenfilter-based approach to the design of time-frequency optimized, linear-phas...
The accurate and efficient representation of a signal in terms of elementary atoms has been a challe...
We present a method for designing optimal biorthogonal wavelet filter banks (FBs). Joint time-freque...
The theories and applications of the discrete wavelet transform (DWT) have developed greatly over th...
In this paper, we design time-frequency-localized two-band orthogonal wavelet filter banks using con...
We present a design of a new class of compactly supported antisymmetric biorthogonal wavelet filter ...
In this paper, we design three-band time-frequency-localized orthogonal wavelet filter banks having ...
We present a selective overview of time-frequency analysis and some of its key problems. In particul...
The notions of stoplets and cowlets are introduced in this paper. We will call a scaling function a ...
Orthonormal bases of wavelets and wavelet packets yield linear, non-redundant time-scale and time-fr...
We propose a novel method of constructing exact Hilbert transform (HT) pairs of wavelet bases using ...
In this paper, we analyze the perfect reconstruction property of Filtered MultiTone (FMT) systems wi...
Orthonormal bases of wavelet packets constitute a powerful tool in signal compression. It has been p...