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978-94-017-7772-8Springer Science+Business Media B.V. 2012MURKY 发表于 2025-3-29 06:17:18
Operatives Dienstleistungsmarketing, chapters. Thus, the magnitude frequency response is presented in the various forms encountered in practice such as plain gain, logarithmic gain and attenuation. Filters are then classified in the standard formats namely as lowpass, highpass, bandpass or band-reject according to their frequency resppacket 发表于 2025-3-29 10:01:42
Operatives Dienstleistungsmarketing,s. The design of normalized lowpass filters from given specifications follows. It is shown that the corresponding gain function (magnitude response) involves a polynomial, the approximating polynomial, which defines the approximation and determines its characteristics. For the classical Butterworth,Evacuate 发表于 2025-3-29 11:24:49
Strategisches Dienstleistungsmarketing,ial cases and their optimal use is analytically explained. These approximations share the common attribute of having finite zeros on the .-axis thereby making the gain equal to zero at these positions in the stopband. These transmission zeros force the gain response to exhibit stopband ripple. As in会犯错误 发表于 2025-3-29 19:00:20
Internationales Dienstleistungsmarketing, finite zeros render the gain equal to zero at their location, in other words they form stopband transmission zeros. The usual mathematical treatment of such filters involves elliptic functions which are considered as a “difficult” area. However, we show that elliptic functions are as straightforwarCON 发表于 2025-3-29 21:31:29
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https://doi.org/10.1007/978-3-322-81375-6passive filter design is based on power related concepts and parameters. In this Chapter, the power transfer from the source to the load of the filter is presented in detail and all the necessary frequency dependent insertion (or effective) parameters are defined. The corresponding general passive fMAL 发表于 2025-3-30 07:45:31
Strategisches Dienstleistungsmarketing,ve ladder filters. In the general case presented in earlier chapters, we have determined for each approximation the corresponding transfer function of the filter from given magnitude specifications. Although this can be done in the case of passive filters, it is preferable to determine the input imp