Continuous-Time Digital Filters for Sample-Rate Conversion in Reconfigurable Radio Terminals

Frequenz ◽  
2001 ◽  
Vol 55 (5-6) ◽  
Author(s):  
Tim Hentschel ◽  
Gerhard Fettweis
2015 ◽  
Vol 39 (2) ◽  
pp. 231-242 ◽  
Author(s):  
Marek Blok ◽  
Piotr Drózda

Abstract In this paper a sample rate conversion algorithm which allows for continuously changing resampling ratio has been presented. The proposed implementation is based on a variable fractional delay filter which is implemented by means of a Farrow structure. Coefficients of this structure are computed on the basis of fractional delay filters which are designed using the offset window method. The proposed approach allows us to freely change the instantaneous resampling ratio during processing. Using such an algorithm we can simulate recording of audio on magnetic tape with nonuniform velocity as well as remove such distortions. We have demonstrated capabilities of the proposed approach based on the example of speech signal processing with a resampling ratio which was computed on the basis of estimated fundamental frequency of voiced speech segments.


Author(s):  
Gordana Jovanovic-Dolecek

A signal is defined as any physical quantity that varies with changes of one or more independent variables, and each can be any physical value, such as time, distance, position, temperature, or pressure (Oppenheim & Schafer, 1999; Elali, 2003; Smith, 2002). The independent variable is usually referred to as “time”. Examples of signals that we frequently encounter are speech, music, picture, and video signals. If the independent variable is continuous, the signal is called continuous-time signal or analog signal, and is mathematically denoted as x(t). For discrete-time signals the independent variable is a discrete variable and therefore a discrete-time signal is defined as a function of an independent variable n, where n is an integer. Consequently, x(n) represents a sequence of values, some of which can be zeros, for each value of integer n. The discrete–time signal is not defined at instants between integers and is incorrect to say that x(n) is zero at times between integers. The amplitude of both the continuous and discrete-time signals may be continuous or discrete. Digital signals are discrete-time signals for which the amplitude is discrete. Figure 1 illustrates the analog and the discrete-time signals.


Frequenz ◽  
2010 ◽  
Vol 64 (11-12) ◽  
Author(s):  
Carina Schmidt-Knorreck ◽  
Raymond Knopp ◽  
Renaud Pacalet

2020 ◽  
Vol 93 (1) ◽  
pp. 113-125
Author(s):  
Ali Zeineddine ◽  
Amor Nafkha ◽  
Stéphane Paquelet ◽  
Christophe Moy ◽  
Pierre Yves Jezequel

1987 ◽  
Vol 25 (7) ◽  
pp. 62-72 ◽  
Author(s):  
S. Tewksbury ◽  
M. Hatamian ◽  
P. Franzon ◽  
L. Hornak ◽  
C. Siller ◽  
...  

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