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adaptive time-frequency analysis

Interference Excision in Spread Spectrum Communications Using Adaptive Positive Time Frequency Analysis

Interference Excision in Spread Spectrum Communications Using Adaptive Positive Time Frequency Analysis

... stages: adaptive signal decomposition stage and di- rectional element detection stage based on the Hough-Radon transform ...its time-frequency (TF) functions using an adaptive signal ...

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Context-based adaptive arithmetic coding in time and frequency domain for the lossless compression of audio coding parameters at variable rate

Context-based adaptive arithmetic coding in time and frequency domain for the lossless compression of audio coding parameters at variable rate

... an adaptive arithmetic coding technique with a time-frequency plane context model (both time and frequency domain are taken into account) was devel- oped, which has led to the ...

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Time-frequency representation of earthquake accelerograms and inelastic structural response records using the adaptive chirplet decomposition and empirical mode decomposition

Time-frequency representation of earthquake accelerograms and inelastic structural response records using the adaptive chirplet decomposition and empirical mode decomposition

... the adaptive chirplet expansion it has been observed that a significantly smaller number of chirplets is required to fully describe the response signals than in the case of the seismic ...the analysis of ...

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Time-Frequency Analysis and Its Application in Digital Watermarking

Time-Frequency Analysis and Its Application in Digital Watermarking

... 7(b)). It is important to observe that the summation has to be performed only over the auto-terms. If the other terms are included, the concentration will not be improved. In addition, the noise could be also picked up. ...

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Signal Adaptive System for Space/Spatial-Frequency Analysis

Signal Adaptive System for Space/Spatial-Frequency Analysis

... signal adaptive MCI hardware design for S/SF analysis has been developed (and verified) based on a 2D mathematical method for an improved S/SF representation of analyzed 2D signals (also proposed ...erent ...

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Time Frequency Analysis methods: A Comparative study

Time Frequency Analysis methods: A Comparative study

... in frequency contents of the non-stationary signal with good ...the frequency changes of the non-stationary ...the time at which the changes in frequency may ...the ...

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Research and Comparison of Time-frequency Techniques for Nonstationary Signals

Research and Comparison of Time-frequency Techniques for Nonstationary Signals

... five time-frequency analysis methods, ...has adaptive characteristic, can exactly express the local information of nonstationary signals in a high time- frequency ...the ...

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Performance Analysis of Frequency Estimation  Using Different Adaptive Filters Techniques.

Performance Analysis of Frequency Estimation Using Different Adaptive Filters Techniques.

... The Echo is the phenomenon in which delayed and distorted version of an original sound or electrical signal is reflected back to the source. Two main characteristics of echo are reverberation and latency. Reverberation ...

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Radar Signal Intra Pulse Feature Extraction Based on Improved Wavelet Transform Algorithm

Radar Signal Intra Pulse Feature Extraction Based on Improved Wavelet Transform Algorithm

... an adaptive short-time Fourier analysis method, however it didn’t study the problem that the time resolution and the frequency resolution cannot be taken into account ...signal ...

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Joint time-frequency representation of simulated earthquake accelerograms via the adaptive chirplet transform

Joint time-frequency representation of simulated earthquake accelerograms via the adaptive chirplet transform

... THE ADAPTIVE CHIRPLET TRANSFORM The adaptive chirplet transform (ACT) is a signal analysis technique specifically developed for joint time-frequency representation of nonstationary ...

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From wavelets to adaptive approximations: time-frequency parametrization of EEG

From wavelets to adaptive approximations: time-frequency parametrization of EEG

... of time-frequency analysis of the electrical activity of the brain ...and adaptive approximations. Presented studies include time-frequency solutions to several standard research ...

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Adaptive noise cancelling and time–frequency techniques for rail surface defect detection

Adaptive noise cancelling and time–frequency techniques for rail surface defect detection

... with time-frequency analysis because time-frequency analysis has the advantage of presenting time and frequency information ...Four time-frequency ...

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A review of developments of EEG based automatic medical support systems for epilepsy diagnosis and seizure detection

A review of developments of EEG based automatic medical support systems for epilepsy diagnosis and seizure detection

... the adaptive neuro-fuzzy inference ...signal analysis include an assumption that the underlying signal dynamic mechanism is composed of a linear superposition of complex ...an adaptive way. The ...

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Adaptive space time frequency coded UWB system for wireless body area network

Adaptive space time frequency coded UWB system for wireless body area network

... formance analysis of a STFC MB-OFDM UWB system implemented in the WBAN channels has not been deeply ...performance analysis of STFC MB-OFDM UWB in CM3 and CM4 WBAN channels using the Alamouti ...an ...

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An active noise control algorithm with gain and power constraints on the adaptive filter

An active noise control algorithm with gain and power constraints on the adaptive filter

... gain-constrained adaptive systems in- clude systems that use a microphone for feedback, and due to the acoustic path to the microphone notches or peaks occur in the microphone frequency response (which may ...

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The Doubly Adaptive LASSO Methods for Time Series Analysis

The Doubly Adaptive LASSO Methods for Time Series Analysis

... The LASSO methodology is successful and popular in statistical modeling, especially in high dimensional data analysis, due to the fact that it performs model selection and parameter esti- mation simultaneously. ...

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Performance of STBC based Time Frequency Training OFDM and SC-FDMA with Adaptive Modulation

Performance of STBC based Time Frequency Training OFDM and SC-FDMA with Adaptive Modulation

... with adaptive modulation concept using four modulation schemes ...both time and frequency domain. In the time domain, a known TS is appended to the data ...the frequency domain, some ...

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High-Resolution Time-Frequency Methods' Performance Analysis

High-Resolution Time-Frequency Methods' Performance Analysis

... quadratic time-frequency distributions (TFDs) including the ones obtained by the reassignment method, the optimal radially Gaussian kernel method, the t-f autoregressive moving-average spectral estimation ...

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Elementary Time Frequency Analysis of EEG Signal Processing

Elementary Time Frequency Analysis of EEG Signal Processing

... As stated, EEG signals are non-stationary. To extract the correct information from these signals it is necessary to perform the analysis. To perform the analysis EEG is considered as stationary signals for ...

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Significance of Cohen's Class for Time Frequency Analysis of Signals

Significance of Cohen's Class for Time Frequency Analysis of Signals

... performing time-frequency analysis of ...the analysis of linear chirp signals and non- stationary signals in presence of noise as well as without ...Short Time Fourier Transform are ...

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