tool of signal processing
Adaptive digital signal processing Java teaching tool
... digital signal processing (DSP) algorithms and ...of signal processsing, and provides the core algorithmic means to implement applications ranging from mobile telephone speech coding, to noise ...
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Analysis of the Tool Condition Monitoring System Using Fuzzy Logic and Signal Processing
... From Figure 1, a galaxy Midas6 Computer Numerical Control (CNC) universal turning machine was employed to machining the AISI4340 steel specimens for the length of 150 mm under dry conditions by using cryogenic treated ...
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Multiresolution Analysis in EEG Signal Feature Engineering for Epileptic Seizure Detection
... EEG signal processing, it is also an effective tool for preprocessing the EEG signals which will ease the feature selection process even without reducing the dimensionality of features at least in ...
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Ultrasonic Imaging of Concrete by Synthetic Aperture Focusing Technique Based on Hilbert Huang Transform of Time Domain Data
... a signal processing tool for interpreting and analyzing the ultrasonic waveforms taken from a concrete specimen with an embedded steel ...processed signal were ...
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Nonlinear cochlear signal processing
... importance of nonlinearity in hearing at low intensities [60, 61]. Ever since Goldstein’s 1967 classic study, distortion product analysis has have been an important experimental tool, which has helped us to ...
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A Review on Biomedical Signal Processing
... diagnostic tool for determining the overall condition of the fetus during the delivery, as well as for the detection of pathological ...corrupt signal from which even the fetal heart rate can hardly be ...
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The Ensemble Kalman filter: a signal processing perspective
... Some attention has been devoted to the EnKF also beyond the geosciences. Convergence properties for N → ∞ have been established using different theoretical anal- yses of the EnKF [26–28]. Statistical perspectives are ...
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A Novel Encryption and Compression Technique for Efficient Data
... describes Signal processing in the encrypted image Discrete cosine Transform (DCT) tool is used to process encrypted ...of processing tasks to be carried out on encrypted images like ...
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Oscillatory Models for Biological Signal Processing and Pattern Recognition
... a tool to solve the problems of modelling of repetitive signals with phase ...a tool to solve the problems of supervised and non-supervised classification, and filtering of repetitive signals with phase ...
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Evaluation of signal processing methods for attention assessment in visual content interaction
... helping tool for extracting signatures from the pupil dilation signal in order to relate each segment to image information/task for automated pattern match- ...
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Signal Processing Algorithms for MIMO Radar
... The second half of the thesis focuses on the transmitted waveform design for MIMO radar sys- tems. We first study the ambiguity function of the MIMO radar and the corresponding waveform design methods. In traditional ...
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Learning of robust spectral graph dictionaries for distributed processing
... distributed processing tasks such as smoothing, denois- ing, and semi-supervised ...graph signal process- ing, with [11, 12] focusing specifically on ARMA and IIR filters, ...distributed processing ...
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Digital Signal Processing Of Coherent and Generation Detection of QPSK Signal
... where PD, PLO aIQM(t) and 'IQM(t) describe the signal source power, LO power, amplitude and phase modulations of the IQM, respectively. In this experiment, we implement a data-encoded optical source by modulation ...
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Think DSP: Digital Signal Processing in Python
... The result is a SumSignal, which represents the sum of two or more signals. A Signal is basically a Python representation of a mathematical function. Most signals are defined for all values of t, from negative ...
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Optimized implementation of digital signal processing applications with gapless data acquisition
... and signal processing functionality of gapless deep waveform ...in signal processing accuracy to a manageable ...real-time processing on the experimental platform used in our ...
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Wideband signal detection for cognitive radio applications with limited resources
... Wideband signal detection has been identified as one of the most challenging problems in the proliferation of the cognitive radio ...wideband signal with small sample ...
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Adaptive reconstruction for azimuth signal of multichannel HRWS SAR imaging system
... azimuth signal in multichannel synthetic aperture radar (SAR) for high-resolution and wide-swath (HRWS) imaging requires exact steering ...data processing to verify the effectiveness and evaluate the ...
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Statistical Signal Processing, An Introduction to pdf
... of a common phenomenon that quite different models can result in iden- tical sample spaces and probability measures. Here the coin flip could be modeled in a directly given fashion by just describing the sample space and ...
460
A clean signal reconstruction approach for coherently combining multiple radars
... Furthermore, it is worth to note that the application of the R-E-R framework is not limited to reconstruct the clean signal from the signal mixed with up- and down- chirp waveforms and, for a signal ...
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Improving accuracy and precision of ice core D(CH 4) analyses using methane pre-pyrolysis and hydrogen post-pyrolysis trapping and subsequent chromatographic separation
... data processing tool presented here represents an efficient and robust way to handle time drifts and signal dependency in one step, but the main benefit with respect to precision is attributed to the ...
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