The paper presents an interpolation method that can be used for implementing any sampling rate conversion ratio. The interpolator is basically a resonator-based digital filter (RBDF) with special decoupling that requires the computing of sine/cosine functions at arbitrary arguments. The resulting filter has a finite duration impulse response (FIR), but it cannot be designed by the commonly used Parks-McClellan algorithm because the filter response is a finite Fourier polynomial in the time-domain and not in the frequencydomain. A special windowing technique or linear programming can be used to design such filters. A design example, its simulation as well as a digital signal processor based realization are also presented
In a recent paper, a technique for designing linear phase frequency sampling filters was proposed tha...
Digital resampling is a process that converts a digital signal from one sampling rate to another. Th...
Includes bibliographical references (page 25)In digital signal processing systems it is often necess...
The paper presents an interpolation method that can be used for implementing any sampling rate conve...
A rational interpolation method for approximating a frequency response is presented. The method is b...
Abstract: Based on polynomial functions this paper introduces a generalized design method for interp...
The generalized sampling theorem states that any analog signal whose spectrum is limited to 1/T can ...
The generalized sampling theorem states that any analogue signal whose spectrum is limited to 1/T ca...
In this work, the design and application of Polynomial-Based Filters (PBF) for continuously variable...
The objective of this paper is to show an efficient method of resampling signal to a higher rate, us...
In this paper an alternative analysis in the time domain is described and the results of the interpo...
It is well known that the frequency sampling approach to the design of Finite Impulse Response digit...
Abstract-In this paper a general theory of multistage decimators and interpolators for sampling rate...
In signal processing, the Fourier transform is a popular method to analyze the frequency content of ...
The main objective in this thesis is to design optimal samplers, downsamplers and interpolators (hol...
In a recent paper, a technique for designing linear phase frequency sampling filters was proposed tha...
Digital resampling is a process that converts a digital signal from one sampling rate to another. Th...
Includes bibliographical references (page 25)In digital signal processing systems it is often necess...
The paper presents an interpolation method that can be used for implementing any sampling rate conve...
A rational interpolation method for approximating a frequency response is presented. The method is b...
Abstract: Based on polynomial functions this paper introduces a generalized design method for interp...
The generalized sampling theorem states that any analog signal whose spectrum is limited to 1/T can ...
The generalized sampling theorem states that any analogue signal whose spectrum is limited to 1/T ca...
In this work, the design and application of Polynomial-Based Filters (PBF) for continuously variable...
The objective of this paper is to show an efficient method of resampling signal to a higher rate, us...
In this paper an alternative analysis in the time domain is described and the results of the interpo...
It is well known that the frequency sampling approach to the design of Finite Impulse Response digit...
Abstract-In this paper a general theory of multistage decimators and interpolators for sampling rate...
In signal processing, the Fourier transform is a popular method to analyze the frequency content of ...
The main objective in this thesis is to design optimal samplers, downsamplers and interpolators (hol...
In a recent paper, a technique for designing linear phase frequency sampling filters was proposed tha...
Digital resampling is a process that converts a digital signal from one sampling rate to another. Th...
Includes bibliographical references (page 25)In digital signal processing systems it is often necess...