نتایج جستجو برای: k filter

تعداد نتایج: 495697  

2013
T. Ranjith Kumar

Traditionally, direct implementation of a K-tap FIR filter requires K multiply-and-accumulate (MAC) blocks, which are expensive to implement in FPGA due to logic complexity and resource usage. To resolve this issue, we first present DA, which is a architecture without multiplier. This paper implements the DA architecture. This architecture is applicable to only one type of filter Coefficients i...

Journal: :Proceedings of the National Academy of Sciences of the United States of America 2013
Torben Hoomann Nadin Jahnke Andreas Horner Sandro Keller Peter Pohl

The selectivity filter of K(+) channels is conserved throughout all kingdoms of life. Carbonyl groups of highly conserved amino acids point toward the lumen to act as surrogates for the water molecules of K(+) hydration. Ion conductivity is abrogated if some of these carbonyl groups flip out of the lumen, which happens (i) in the process of C-type inactivation or (ii) during filter collapse in ...

2004
Anamitra Makur

Consider the subband coder of figure 1, consisting of k = 0, 1, ..., M − 1 channels. Each channel has an analysis filter H k (z), a synthesis filter F k (z), down/up-sampling ratio m k , and a b k bit quantizer. The input is x[n], after passing through the analysis filters it becomes x k [n], and the subband signals are x k [n]. The subband coder is maximally decimated, M −1 k=0 m k = 1. (1) As...

2015
Yuji Furutani Hirofumi Shimizu Yusuke Asai Shigetoshi Oiki Hideki Kandori

The X-ray structure of KcsA, a eubacterial potassium channel, displays a selectivity filter composed of four parallel peptide strands. The backbone carbonyl oxygen atoms of these strands solvate multiple K(+) ions. KcsA structures show different distributions of ions within the selectivity filter in solutions containing different cations. To assess the interactions of cations with the selectivi...

Journal: :J. Sci. Comput. 2015
Jennifer K. Ryan Xiaozhou Li Robert Michael Kirby Cornelis Vuik

In this paper, we introduce a new position-dependent smoothness-increasing accuracy-conserving (SIAC) filter that retains the benefits of position dependence as proposed in van Slingerland et al. (SIAM J Sci Comput 33:802–825, 2011) while ameliorating some of its shortcomings. As in the previous position-dependent filter, our new filter can be applied near domain boundaries, near a discontinuit...

Journal: :The Journal of General Physiology 2004
Joseph F. Consiglio Stephen J. Korn

We previously demonstrated that the outer vestibule of activated Kv2.1 potassium channels can be in one of two conformations, and that K(+) occupancy of a specific selectivity filter site determines which conformation the outer vestibule is in. These different outer vestibule conformations result in different sensitivities to internal and external TEA, different inactivation rates, and differen...

Journal: :The Journal of General Physiology 2004
Anke Dahlmann Min Li ZhongHua Gao Deirdre McGarrigle Henry Sackin Lawrence G. Palmer

ROMK channels are regulated by internal pH (pH(i)) and extracellular K(+) (K(+)(o)). The mechanisms underlying this regulation were studied in these channels after expression in Xenopus oocytes. Replacement of the COOH-terminal portion of ROMK2 (Kir1.1b) with the corresponding region of the pH-insensitive channel IRK1 (Kir 2.1) produced a chimeric channel (termed C13) with enhanced sensitivity ...

Journal: :iranian journal of public health 0
ah mahvi j nouri n tabatabaie

slow sand filters are as a proper technology for pre-treatment of raw water, with a fine and medium trubidity in small communities in developing countries. thus, with a minimum operation cost and minimum need for expest bodies have the maximum efficiency. the purpose of this research is carried out to evaluate the efficiency of two processes of horizontal flow roughing filter and vertical flow ...

Journal: :CoRR 2017
Suresh Kirthi Kumaraswamy P. S. Sastry K. R. Ramakrishnan

Convolutional Neural Networks (CNNs) are very effective for many pattern recognition tasks. However, training deep CNNs needs extensive computation and large training data. In this paper we propose Bank of Filter-Trees (BFT) as a transfer learning mechanism for improving efficiency of learning CNNs. A filter-tree corresponding to a filter in k convolutional layer of a CNN is a subnetwork consis...

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