[PDF] Top 20 Esclavitud en la Extremadura del siglo XVI
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Time-Frequency Signal Processing Based on Fractional Fourier Transform in Passive Sonar Classification
... In passive sonar systems, the classification mainly is done by sonar operators which are trained for performing this ...for sonar operators (SO) [2]. Sonar operators investigate ... See full document
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Acoustic Seabed and Target Classification using Fractional Fourier Transform and Time-Frequency Transform Techniques
... multibeam sonar system with 54 beams arranged as 27 fore–aft beam pairs, covering almost the entire water volume (from above horizontal, through vertical, back to above horizontal) (Raytheon, ...using time ... See full document
9
Target Classification with Low-Resolution Radars Based on Multifractal Features in Fractional Fourier Domain
... repetition frequency and short irritation time [1, ...way based on JEM features accounts for a large proportion [3–9]. Fractional Fourier transform (FrFT) is a generalized form ... See full document
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A New LFM-Signal Detector Based on Fractional Fourier Transform
... Linear Frequency Modulation (LFM) signal is very important in many information systems, such as communications, radar, and sonar, for its wide use in these ...several ... See full document
15
Time-Frequency Domain Characterization of Stationary and Non stationary Signals
... the Fourier transform or Discrete Fourier transform, the phenomenon of leakage and aliasing may play its ...when signal is extended periodically for performing ...towards ... See full document
5
A sampling theorem for the fractional Fourier transform without band-limiting constraints
... The fractional Fourier transform (FRFT), a generalization of the Fourier transform, has proven to be a powerful tool in optics and signal ... See full document
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Time Frequency Domain Characterization of Stationary and Non stationary Signals
... a time window g(t) of certain duration that is centered at time ...specific time τ, the time localized Fourier transform is ...the time axis and again the Fourier ... See full document
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Identification of Power Quality Transient Disturbance Based on S Transform and Wavelet Transform
... power signal is S-transformed, a complex time-frequency matrix, also called S matrix, is ...this time is called the S-module time-frequency matrix, and the S-module ... See full document
7
Time-Frequency Signal Processing for Automated Infant Cry Classification
... analysis based methods to classify different patterns of newborn cry ...t-f based signal processing approach using QTFDs (SPEC, WVD, SWVD, CWD and MBD) for classification of cry signals ... See full document
6
Tonal signal detection in passive sonar systems using atomic norm minimization
... the frequency components of the tonal ...tonal frequency estimation problem as an atomic norm minimization (ANM) problem ...the frequency domain, since ANM identifies the desired frequency ... See full document
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Detection of Restoration Faults under Fillings in Human Teeth using Ultrasound
... ultrasound signal is longer than the time of the round trip in the restorative ...the signal overlapping inside the restorative material, the received echoes are not identifiable in the time ... See full document
6
Performancce Analysis of PAPR Reduction in DWT-OFDM in comparsion with conventional OFDM System
... Figure 2 shows the schematic diagram of the DWT based OFDM transmitter. Here, the high input data stream is converted to the low parallel data stream by using the serial to parallel conversion and it is transposed ... See full document
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THEKERNEL OF N- DIMENSIONAL FRACTIONAL FOURIER TRANSFORM
... Cite This Article: Zakia Abdul Wahid, Saleem Iqbal, Farhana Sarwar, and Abdul Rehman. (2020). “THEKERNEL OF N- DIMENSIONAL FRACTIONAL FOURIER TRANSFORM.” International Journal of Engineering ... See full document
177
The Fractional Fourier Transform and Its Application to Energy Localization Problems
... The presented integral representation formula is valid for all choices of the corresponding symplectic transformations in the Wigner plane. On the contrary, classical representa- tion formulas [11] are only available for ... See full document
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Monitoring the depth of anaesthesia using simplified electroencephalogram (EEG)
... viii 6. Nguyen-Ky, T., Wen, P. and Li, Y. (2009a). "Monitoring the depth of anaesthesia using discrete wavelet transform and power spectral density." Proceeding of the fourth International Conference on ... See full document
18
Spectral analysis classification sonars
... in the Classification Sonar was developed using an air model of the underwater sonar • More generally, the elimination of blind time, the incorporation of digital frequency synthesis int[r] ... See full document
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Quantum Classical Algorithm for an Instantaneous Spectral Analysis of Signals: A Complement to Fourier Theory
... same time, it is a key piece when applied in signal analysis -in a much more ele- gant way than by the use of The Fourier theory in particular for the practical calculation of the bandwidth of any ... See full document
14
MODERN DESIGN OF 16 POINT FFT ALGORITHM USING GRAPH TECHNIQUE FOR OFDM RELEVANCES
... This pipelined architecture is non-stopping process. It has smaller latency with low power consumption. It is characterized by real-time. For processor which has using pipeline architecture need to replace a ... See full document
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Discrete Fourier Transform: Approach To Signal Processing
... ABSTRACT: There are three different way to calculate DFT. First method is using formula of DFT or simultaneous equation. Second is Correlation technique and third one is using Fast Fourier Transform (FFT). ... See full document
254
Fast Fourier Transform Approach for Signal Analysis
... discrete Fourier transform (DFT). For better understanding of fast Fourier transform (FFT) algorithm (With the help of functions in Matlab – Structured Programming and simple example) generate ... See full document
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