A method for the design of ultraspherical window functions that achieves prescribed spectral characteristics is proposed. The method comprises a collection of techniques that can be used to determine the three independent parameters of the ultraspherical window such that a specified ripple ratio and main-lobe width or null-to-null width along with a user-defined side-lobe pattern can be achieved. Other known two-parameter windows can achieve a specified ripple ratio and main-lobe width; however, their side-lobe pattern cannot be controlled as in the proposed method. A comparison with other windows has shown that a difference in performance exists between the ultraspherical and Kaiser windows, which depends critically on the required specifi...
This paper presents a new and versatile framework to window design based on a semi-infinite linear p...
This paper describes the use of Fourier techniques to characterize the wavefront of optical componen...
Abstract: In statistical signal processing, power spectral density estimation is a frequency domain ...
An efficient method for the design of nonrecursive digital filters using the ultraspherical window ...
In the field of sensor signal processing, windows are time-/frequency-domain weighting functions tha...
A window is derived whose Fourier transform magnitude is unimodal and whose processing gain against ...
A novel family of windows are proposed for digital spectrum analysis and the main figures of merit c...
Windowing of discrete signals by temporal weighting is an essential tool for spectral analysis and p...
This paper presents a new optimal window design method with a general window design specification fo...
This paper investigates the windowing design and performance assessment for mitigation of spectral l...
Window functions-otherwise known as weighting functions, tapering functions, or apodization function...
Imaging systems such as Synthetic Aperture Radar collect band-limited data from which an image of a ...
A set of windows, whose normalised main lobe widths fall between those of Hamming and the sum-cosine...
In this study, 2-parameter cosh window is modified to improve its spectral characteristic in terms o...
This paper presents the results from a new approach to UHV window design at Strathclyde University. ...
This paper presents a new and versatile framework to window design based on a semi-infinite linear p...
This paper describes the use of Fourier techniques to characterize the wavefront of optical componen...
Abstract: In statistical signal processing, power spectral density estimation is a frequency domain ...
An efficient method for the design of nonrecursive digital filters using the ultraspherical window ...
In the field of sensor signal processing, windows are time-/frequency-domain weighting functions tha...
A window is derived whose Fourier transform magnitude is unimodal and whose processing gain against ...
A novel family of windows are proposed for digital spectrum analysis and the main figures of merit c...
Windowing of discrete signals by temporal weighting is an essential tool for spectral analysis and p...
This paper presents a new optimal window design method with a general window design specification fo...
This paper investigates the windowing design and performance assessment for mitigation of spectral l...
Window functions-otherwise known as weighting functions, tapering functions, or apodization function...
Imaging systems such as Synthetic Aperture Radar collect band-limited data from which an image of a ...
A set of windows, whose normalised main lobe widths fall between those of Hamming and the sum-cosine...
In this study, 2-parameter cosh window is modified to improve its spectral characteristic in terms o...
This paper presents the results from a new approach to UHV window design at Strathclyde University. ...
This paper presents a new and versatile framework to window design based on a semi-infinite linear p...
This paper describes the use of Fourier techniques to characterize the wavefront of optical componen...
Abstract: In statistical signal processing, power spectral density estimation is a frequency domain ...