Topic
Butterworth filter
About: Butterworth filter is a research topic. Over the lifetime, 6187 publications have been published within this topic receiving 69070 citations.
Papers published on a yearly basis
Papers
More filters
25 Oct 1994
TL;DR: A near-perfect-reconstruction, two-channel hybrid filter bank which introduces 0.00095 dB average deviation from 0 dB distortion and -108 dB average aliasing is developed.
Abstract: This paper presents a novel approach to high-speed, high-resolution analog-to-digital (A/D) conversion using a hybrid filter bank with an array of slower speed A/D converters (ADCs). The hybrid filter bank is a new class of filter bank that employs continuous-time analysis filters to allocate a frequency band to each ADC in the array and discrete-time synthesis filters to reconstruct the digitized signal. The filter bank improves the speed and resolution of the A/D conversion by reducing the effects of mismatches between the ADCs in the array. This paper presents a filter design algorithm which minimizes mean-squared reconstruction error for the M-channel hybrid filter bank. A near-perfect-reconstruction, two-channel hybrid filter bank which introduces 0.00095 dB average deviation from 0 dB distortion and -108 dB average aliasing is developed. >
57 citations
TL;DR: A design methodology of a CMOS linear transconductor for low-voltage and low-power filters is proposed and applied to the analog baseband filter used in a transceiver designed for wireless sensor networks.
Abstract: A design methodology of a CMOS linear transconductor for low-voltage and low-power filters is proposed in this paper. It is applied to the analog baseband filter used in a transceiver designed for wireless sensor networks. The transconductor linearization scheme is based on regulating the drain voltage of triode-biased input transistors through an active-cascode loop. A third-order Butterworth low-pass filter implemented with this transconductor is integrated in a 0.18-/spl mu/m standard digital CMOS process. The filter can operate down to 1.2-V supply voltage with a cutoff frequency ranging from 15 to 85 kHz. The 1% total harmonic distortion dynamic range measured at 1.5 V for 20-kHz input signal and 50-kHz cutoff frequency is 75 dB, while dissipating 240 /spl mu/W.
57 citations
Patent•
27 Dec 1989
TL;DR: In this article, a normalized frequency domain Least Means Square filter is proposed, where the power estimate is incorporated directly into the filter algorithm as a data-dependent, time-varying stochastic feedback coefficient.
Abstract: A normalized frequency domain Least Means Square filter. The feedback coefficient for each frequency bin is adjusted separately in the filter by use of an input power estimate. The power estimate is incorporated directly into the filter algorithm as a data-dependent, time-varying stochastic feedback coefficient. The filter is particularly useful in applications in which the input signal has large spectral variations, which could lead to filter instabilities in some frequency bins if a single feedback coefficient were employed in all frequency bins.
57 citations
TL;DR: The paper shows that the most practical RLC load can be optimally matched to a resistive generator over a finite frequency band to achieve the Butterworth or Chebyshev transducer power-gain characteristic of arbitrary order.
Abstract: The paper shows that the most practical RLC load can be optimally matched to a resistive generator over a finite frequency band to achieve the Butterworth or Chebyshev transducer power-gain characteristic of arbitrary order, justifying and extending the procedure given in the literature. Explicit formulas for the optimum design of these matching networks are presented, thus avoiding the necessity of using the design curves and solving the nonlinear equations for selecting the optimum design parameters. The significance of these formulas is that they reduce the design problem to simple arithmetic. Illustrative examples are provided to demonstrate the usage of the formulas.
57 citations
TL;DR: The proposed GSA based FOLBFs consistently achieve the best solution quality with the fastest convergence rate as compared with the designs based on Real coded Genetic Algorithm (RGA) and Particle Swarm Optimization (PSO).
57 citations