Matched Filtering
Detection of dispersed pulsars in a time series by using a matched filtering approach
... This section showed the theory behind pulsar dispersion and how to model it. Next to this the theoretical signal to noise ratios were calculated of the undispersed pulsars. By adding dispersion to them it was shown that ...
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Radar matched filtering using the fractional fourier transform
... II. Section III uses the principle of stationary phase (PSP) to derive the chirp signal in the FT and FrFT domains respectively. The matched filter in the FT and FrFT domain are presented in section IV. A set of ...
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Hydrothermal alteration mapping of mineralogical imprints associated with subtle geothermal system using Mixture Tuned Matched Filtering approach on ASTER VNIR and SWIR data
... which is a hybridization of the Matched Filtering (MF) [26] and the Linear Spectral Unmixing (LSU) [27]. It combines the strengths of the MF in that it has no requirement for knowledge of all the endmembers ...
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Lithological Mapping from OLI and ASTER Multispectral Data Using Matched Filtering and Spectral Analogues Techniques in the Pasab e Bala Area, Central Iran
... Dark brown sandstone with intercalation of shale Light grey limestone, sandy limestone and silty marl Purple polymict conglomerate, Lower Red Formation Reddish grey conglomerate and red [r] ...
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The Hymenopteran Skylight Compass: Matched Filtering and Parallel Coding
... Summary In deriving compass information from the pattern of polarized light in the sky celestial e-vector pattern, hymenopteran insects like bees and ants accomplish a truly formidable t[r] ...
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Multimicrophone Speech Dereverberation: Experimental Validation
... The word error rate is shown as a function of the SNR in Figures 12, 13, 14 for each noise configuration. It can be concluded that the effect of the noise on the overall perfor- mance of the algorithms is significant for ...
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Low Power LFM Pulse Compression RADAR with Sidelobe suppression
... The basic building block of pulse compression matched filtering is FFT. The FFT computation assumes that the signal is periodic or repeats itself for each block of data. Whereas this is not the case for all ...
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Tectonics and Mineralisation of Copper in the Ardestan Kahang Area, Central Iran by Remote Sensing
... Fit), Matched Filtering (MF), Spectral Angle Mapper (SAM) and Spectral Feature Fitting (SFF), band ratio and visual ...are Matched Filtering (MF) and Spectral Feature Fitting (SFF), with ...
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Mapping of Aluminous Rich Laterite Depositions through Hyper Spectral Remote Sensing
... The interpretation of mixture tuned matched filtering mapping method in- volves the integration of close analysis of both the score and infeasibility images of the individual endmembers. The Al rich ...
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Portable and low cost channel sounding platform for VHF / UHF IoT propagation research
... Since an FFT input must be periodic in time and the RX data is processed in lengths of 2N, the TX correlation sequence of length N for matched filtering must be extended with zeros to le[r] ...
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Enhancing the Performance of Random Access Networks with Random Packet CDMA and Joint Detection
... from matched filtering to partitioned spreading is necessary to increase the user base, in fact, as a result of the low supportable stable arrival rates in the virtual header channel, the rates for all of ...
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Analysis of Cognitive Radio Spectrum Sensing Techniques
... simulate Matched filtering, Energy detection and Cyclostationary feature detection cognitive radio spectrum sensing techniques as well as analyze the simulation ...defines Matched filtering ...
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Acoustical Imaging in Heterogeneous Environments
... These experiments were conducted in sufficiently «hothouse» conditions when previously it was possible to carry out all geometrical measurements. And even in these conditions, we can see that the parameters of the ...
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SEGMENTATION OF BLOOD VESSELS USING IMPROVED LINE DETECTION AND ENTROPY BASED THRESHOLDING
... through matched filtering where the blood vessels are enhanced generating a matched filter response (MFR) image, next the MFR image is filtered with a set of direction filters and the outputs are ...
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Contralateral comparison of blue-filtering and non-blue-filtering intraocular lenses: glare disability, heterochromatic contrast, and photostress recovery
... ultraviolet-only filtering implant in the other eye, so that all subjects served as their own ...blue-light filtering IOLs versus eyes with control ...
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A review of Content and Collaborative filtering approaches on Movielens Data
... Collaborative Filtering: Collaborative Filtering (CF) is a method of identifying the similar clients and recommending what the common clients ...This filtering is considered to be the most ...
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Unmanned Aerial Patrol Technology Based on Tracking Algorithm of Target Tracking
... Due to the little change of position of UAV in adjacent key frames, only a small displacement can be considered as the object of study when it's flight control, that is, the region of interest. By setting the region of ...
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User preference tree based personalized online learning managment system
... Collaborative filtering: Collaborative filtering is regarded as one of the important and useful strategies in recommender systems [Bobadilla, ...are matched; then, this method recommends items that ...
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Impulse Noise Reduction and Enhancement of Gray Scale and Color Images
... Wiener filtering algorithm and median filtering algorithms, are the two most used algorithms, to remove impulse noise present in the digital ...regular filtering algorithms are not effective to ...
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Joint fundamental frequency and order estimation using optimal filtering
... comb filtering approach. That the NLS, comb filtering, and optimal filtering methods all perform well for high PSNRs and N confirms that the MAP order estimation criterion indeed works well, as all ...
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