A Differential 4-bit 6.5–10-GHz RF MEMS Tunable Filter
... filter) and can switch from 15 to 30 GHz. Other designs have two states and lower tuning range: 28.5% in [13] and 12.8% in [14]. In this paper, we will present a 4-bit digital differential tunable filter with 44% tuning range from 6.5 to 10 GHz. The frequency band is covered by 16 filter responses w ...
... filter) and can switch from 15 to 30 GHz. Other designs have two states and lower tuning range: 28.5% in [13] and 12.8% in [14]. In this paper, we will present a 4-bit digital differential tunable filter with 44% tuning range from 6.5 to 10 GHz. The frequency band is covered by 16 filter responses w ...
AN1993 High sensitivity applications of low
... Traditionally, the use of 10.7MHz as an intermediate frequency has been an attractive means to accomplish reasonable image rejection in VHF/UHF receivers. However, applying significant gain at a high IF has required extensive gain stage isolation to avoid instability and very high current consumptio ...
... Traditionally, the use of 10.7MHz as an intermediate frequency has been an attractive means to accomplish reasonable image rejection in VHF/UHF receivers. However, applying significant gain at a high IF has required extensive gain stage isolation to avoid instability and very high current consumptio ...
Putting a damper on resonance
... product portfolio: four-quadrant motor drives, wind power converters, photovoltaic (PV) inverters, uninterruptible power supply (UPS) systems and active power quality conditioners, for example. An active front-end in a grid-connected power conversion system makes it possible to fully utilize the ene ...
... product portfolio: four-quadrant motor drives, wind power converters, photovoltaic (PV) inverters, uninterruptible power supply (UPS) systems and active power quality conditioners, for example. An active front-end in a grid-connected power conversion system makes it possible to fully utilize the ene ...
Kolmogorov–Zurbenko filter
The Kolmogorov–Zurbenko (KZ) Filter was first proposed by A. N. Kolmogorov and formally defined by Zurbenko[1]. It is a series of iterations of a moving average filter of length m, where m is a positive, odd integer number. The KZ filter belongs to the class of Low-pass filters. The KZ filter has two parameters, the length m of the moving average window and the number of iterations k of the moving average itself. It also can be considered as a special window function designed to eliminate spectral leakage.