2008
DOI: 10.1049/el:20080417
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Multi-objective optimisation technique to design digital filters for modulated multi-rate systems

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Cited by 10 publications
(22 citation statements)
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“…First, we use the technique proposed in [15] to design a symmetric 513-length 2 prototype filter for generating the transmitting and the receiving filters. The parameters used for the design are the following: Number of samples at the transition band L = 7, ε ini = 1.5 · 10 −4 , δ ini pp = 1.95 · 10 −5 , and M SA ini = 88.…”
Section: Resultsmentioning
confidence: 99%
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“…First, we use the technique proposed in [15] to design a symmetric 513-length 2 prototype filter for generating the transmitting and the receiving filters. The parameters used for the design are the following: Number of samples at the transition band L = 7, ε ini = 1.5 · 10 −4 , δ ini pp = 1.95 · 10 −5 , and M SA ini = 88.…”
Section: Resultsmentioning
confidence: 99%
“…Next, the BER is evaluated in several scenarios, 2 This filter length allows implementations of the transmitting and the receiving filters using fast algorithms. [15]. and compared to the standard DFT-based MCM (OFDM) under the same conditions.…”
Section: Resultsmentioning
confidence: 99%
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“…Such a demand imposes a challenge for the conventional design processes as the number of parameters to be optimized may increase drastically or even become overwhelming. On the other hand, NPR design methods such as the frequency sampling technique [17], [18] and the generalized windowing-based techniques [19] provide means to overcome this problem. In these methods, prototype filter coefficients are expressed using a closed-form representation that includes only a few adjustable design parameters.…”
Section: A Role Of Prototype Filter Design In Partial Tmuxmentioning
confidence: 99%
“…In this manner, the upper limit of the summation index can be reduced to . Now, the prototype impulse response of a -subchannel partial filter bank (assuming such that is divisible by ) can be related to that of an -subchannel full-size filter bank by rewriting the expressions in (14) and (15) in alternative forms of (17) and (18) respectively. From (17), we observe that in case of the oddlength design, the filter coefficients of the -subchannel design can be found by selecting -spaced samples from the -subchannel design and scaling by .…”
Section: A Role Of Prototype Filter Design In Partial Tmuxmentioning
confidence: 99%