Search results for "m-derived filter"
showing 3 items of 3 documents
LabVIEW modeling and simulation, of the low-pass and high-pass analog filters
2015
Some programs for simulating different types of filters are developed using LabView software. Implementing a simulation program of an analog filter requires the prior establishment of mathematical model. As a general purpose programming environment, LabVIEW offers possibility of achieving some user programs for plotting frequency characteristics of passive and active analog filters, if established beforehand mathematical models that characterize their behavior. The scientific objectives of this paper are: -the analysis of the possibilities of using virtual instrumentation in the study of electrical filters; -implementation of virtual instruments for analysis and simulation of analog filters…
Novel Narrow-Band Spectral Interference Filter with Very High Transmittance
2011
We report a novel scheme to improve the effective transmission of a standard interference filter, and demonstrate over 97% passband transmission. Such high efficiency is critical for quantum information applications, e.g. high-efficiency single-photon generation utilizing parametric down-conversion. The scheme can also be modified to function with a tilted filter, thereby allowing tuning of the passband frequency. In addition, the tilted configuration creates an infinite number of consecutive reflections from and transmissions through the filter, further improving the net filter transmission. Because spectral interference filters are a key element in optical quantum information experiments …
LabVIEW modeling and simulation, of the digital filters
2015
In order to study digital filters using virtual instrumentation a simulation program specifically designed for this purpose has been developed. To implement this program means to use the following facilities: studying digital Butterworth filters, Cebyshev, Bessel and Median and change their parameters: bandwidth, order, rank and slope; possibility of changing the input parameters: amplitude, offset and frequency; overlay over the input signal, to one of the types of noise such as white noise, Gaussian white noise and Poisson noise; choosing a type of digital filters: low pass, high pass, band-pass and band stop; waveforms graphical representation of the input and output signals; graphical r…