time-frequency MUSIC algorithm
Performance analysis for time-frequency MUSIC algorithm in presence of both additive noise and array calibration errors
... auto-source time-frequency point is relatively large even at SNR = -10 ...the time-frequency plan and of localizing the source energy in the t-f ...
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Parametric Time-Frequency Analysis and Its Applications in Music Classification
... as music signals, is a challenging ...classify music signals in higher frequency range ...nonstationary time-frequency signal analysis tool, is applied for music ...into ...
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1. Pitch extraction and fundamental frequency estimation from indian folk music using time domain and frequency domain technique
... applied time domain based and frequency domain based approach for pitch extraction of Indian folk music with pitched instrument in ...extraction algorithm were based on pitch extraction or ...
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A Fuzzy C Means based GMM for Classifying Speech and Music Signals
... and music features such as Time domain features are Zero Crossing Rate (ZCR) and Short Time Energy (STE), the frequency domain features are Spectral Centroid (SC), Spectral Flux (SF), Spectral ...
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Spatial polarimetric time frequency distribution based DOA estimation: combining ESPRIT with MUSIC
... PTF MUSIC and PTF ESPRIT algorithm, respectively; the results are shown in ...the time to calculate the time-frequency transformation and the two algorithms are shown in Table ...
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A Tunable Resolution MUSIC Algorithm for Interharmonics Analysis
... fundamental frequency is 50 ...fundamental frequency, which makes the measurement additionally ...(TRMUSIC) algorithm is presented, which the spectrum can be tuned to exhibit high reso- lution in ...
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A Decision-Tree-Based Algorithm for Speech/Music Classification and Segmentation
... efficient algorithm for segmentation of audio signals into speech or ...The algorithm consists of a learning phase and a classification ...various time-domain and frequency-domain features, for ...
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A New Composition Algorithm for Automatic Generation of Thematic Music from the Existing Music Pieces
... new music (music that has not been heard before) using computer algorithm is a new research ...new music either from scratch or using old music pieces from the same theme (classical, ...
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Directional Adaptive MUSIC-Like Algorithm Under Symmetric α-Stable Distributed Noise
... The MUSIC algorithm [2] is a well-known eigenstructure-based method with super resolution performance [3] which has been employed in various contemporary applications from automotive radars [4], unmanned ...
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Knowledge based fundamental and harmonic frequency detection in polyphonic music analysis
... fundamental frequency (F0) has been an essential part in Blind Signal Separation (BSS) and Music Information Retrieval (MIR) ...polyphonic music identification, ...other music re- search ...
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Time Synchronization Algorithm for Wireless Sensor Networks Based on Frequency Offset Estimation
... synchronous algorithm stability in wireless sensor network and high overhead of clock phase offset and frequency offset, a synchronization algorithm (CSMS algorithm) was designed for wireless ...
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Music in time: An evaluation of a participatory creative music programme for older prisoners
... Formative evaluation methodology is typically used during the development or improvement stages of a project, to assess and inform further development in close collaboration with providers or stakeholders. The principal ...
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A novel time-difference electrical impedance tomography algorithm using multi-frequency information
... selected frequency band, the conductivity changes of hemorrhagic tissue relative to normal tissue are much larger than those of ischemic ...wide frequency range, the corresponding improvement will be ...
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An Efficient Timing and Frequency Synchronization Algorithm for OFDMA/TDD Mode in Downlink of IEEE 802.16-2004 and its Analysis
... Therefore each segment eventually modulates each third subcarrier. Thus we have 3 blocks (A, B, and C) with length of 682 in time domain that they are not same to each other, but they havegood cross correlation. ...
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Robust Direction of Arrival Estimation using Multiple Signal Analysis
... exactness. MUSIC and ESPRIT methods are categorized under sub space based methods based on the Eigen decomposition [6] which are more precise and gives high resolution and not limited to physical size of the array ...
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Wavelet based Brain Tumor Segmentation using Fuzzy K-Means
... In this graph (Fig i) we have plotted the various obtained values for the parameter ‘false negative’ (for the three algorithms) for increasing datasets. As the datasets are increased the value of the parameters decrease, ...
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The Evaluation of Music Teacher Candidates’ Awareness of Music Applications and Software, Their Frequency of Use and Purpose of Use
... of music education in terms of knowledge and technique (master-apprentice) learned from the teacher makes technology integration ...of music such as playing and singing is not known or preferred by trainers ...
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Performance Analysis of Music Algorithm for Smart Antenna
... In uniform linear array (ULA) as shown in fig().The eleventvant angle θ is measured from the bore sight of the reference element to the direction of the incoming signal S(t).Thus the range of θ for ULA is from -90° to ...
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Separation algorithm of vital sign signal in complex environments based on time frequency filtering
... on time-frequency filtering (TFF) is proposed, which mainly predicts the instantaneous frequency (IF) by combining the Viterbi algorithm (VA) with strong noise immunity and taking advantage of ...
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A Music Related Quality of Life measure to guide music rehabilitation for adult CI users
... of music experiences and the potential of the MuRQoL questionnaire to measure the impact of music on the QoL overcome limitations of previous approaches that either did not address the relationship between ...
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