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	<title>Volume-3 Issue-3, August 2023 &#8211; Indian Journal of Signal Processing (IJSP)</title>
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					<description><![CDATA[<p>The Indian Journal of Signal Processing (IJSP) has ISSN 2582-8320 (online), open-access, peer-reviewed, periodical quarterly international journal, which is published by Lattice Science Publication (LSP) in February, May, August and November. The aim of the journal is to publish high quality peer–reviewed original articles in the area of Signal Processing that covers Analog Filter Design, Applications of Fourier Transforms, Coding Theory, Continuous Time Signals, Digital Communication Techniques, Digital Design and Synthesis, Digital Filter Structure, Digital Systems – Characterization, Description and Testing, Discrete Fourier Transform, DSP Algorithms and Architecture, IR Filters, IIR Filters, Linear Algebra for Signal Processing, Linear and Nonlinear Optimization, Multirate Signal Processing, Optical, Signal Processing, Random Processes, Signal Compression-Theory and Methods, Simple Digital Filters, Speech and Audio Processing, Wavelet Theory, Filter Design and Structures, Fast Algorithms, Adaptive filters, Nonlinear Signals and Systems, Multirate Filtering and Filter Banks, Signal Reconstruction, Time-Frequency Analysis, Spectral Estimation, Higher Order Spectrum Analysis, Parameter Estimation, Detection, Array Signal Processing, Statistical Signal Analysis, Signal and System Modelling, Cyclostationary Signal Analysis, Speech Production and Perception, Speech Analysis, Speech Synthesis, Speech Coding, Speech Recognition, Speech Enhancement and Noise Reduction, Active Noise Control, Active Noise Reduction, Echo Cancellation, Psychoacoustics, Broadband Audio Coding, Signal Processing for Music, Binaural Systems, Room Acoustics, Digital Transforms, HDTV, Multidimensional Systems, Machine Vision, Image Coding, Image Motion / Sequence / Video, Computed Imaging, Geophysical and Seismic Processing, Image Analysis and Segmentation, Image Filtering, Restoration and Enhancement, Image Representation and Modelling, Pattern Recognition, Neural Networks, Fuzzy Systems, Evolutionary Computation, Expert Systems, Multisensor Data Fusion, Architectures and VLSI Hardware, Programmable Signal Processors, Algorithms and Applications Mappings, Design Methology and CAD Tools, Languages and Real Time Software, Real Time System Estimation, Optimization Problems in Signal Processing, Radar, Sonar, Biomedical Processing, Geophysical Signal Processing, Underwater Signal Processing, Remote Sensing, Robotics, Astronomy, Classification, Crime on the Web, Security/Publicity/Privacy/Reputation, Frauds in Business Reputation, Satellite Signals Processing, Measure and Instrumentation. #Analog Filter Design #Applications of Fourier Transforms #Coding Theory #Continuous Time Signals #Digital Communication Techniques #Digital Design and Synthesis #Digital Filter Structure #Digital Systems – Characterization #Description and Testing #Discrete Fourier Transform #DSP Algorithms and Architecture #IR Filters #IIR Filters #Linear Algebra for Signal Processing #Linear and Nonlinear Optimization #Multirate Signal Processing #Neural Networks #Optical #Signal Processing #Random Processes #Signal Compression-Theory and Methods #Simple Digital Filters #Speech and Audio Processing #Wavelet Theory #Filter Design and Structures #Fast Algorithms #Adaptive filters #Nonlinear Signals and Systems #Multirate Filtering and Filter Banks #Signal Reconstruction #Time-Frequency Analysis #Spectral Estimation #Higher Order Spectrum Analysis #Parameter Estimation #Detection #Array Signal Processing #Statistical Signal Analysis #Signal and System Modelling #Cyclostationary Signal Analysis #Speech Production and Perception #Speech Analysis #Speech Synthesis #Speech Coding #Speech Recognition #Speech Enhancement and Noise Reduction #Active Noise Control #Active Noise Reduction #Echo Cancellation #Psychoacoustics #Broadband Audio Coding #Signal Processing for Music #Binaural Systems #Room Acoustics #Digital Transforms #HDTV #Multidimensional Systems #Machine Vision #Image Coding #Image Motion / Sequence / Video #Computed Imaging #Geophysical and Seismic Processing #Image Analysis and Segmentation #Image Filtering #Restoration and Enhancement #Image Representation and Modelling #Pattern Recognition #Neural Networks #Fuzzy Systems #Evolutionary Computation #Expert Systems #Multisensor Data Fusion #Architectures and VLSI Hardware #Programmable Signal Processors #Algorithms and Applications Mappings #Design Methology and CAD Tools #Languages and Real Time Software #Real Time System Estimation #Optimization Problems in Signal Processing #Radar #Sonar #Biomedical Processing #Geophysical Signal Processing #Underwater Signal Processing #Remote Sensing #Robotics #Astronomy #Classification #Crime on the Web #Security/Publicity/Privacy/Reputation #Frauds in Business Reputation #Satellite Signals Processing #Measure and Instrumentation #PhD #Academic #Scopus #SCI #LatticeScience #Springer, #ScienceDirect #IEEE #Mendeley #Research #Scholarship #UGC #SSRN #LatticeScience #ESCI #Science #Journal #Conference #SSRN #PubLons</p>
<p>The post <a rel="nofollow" href="https://www.ijsp.latticescipub.com/portfolio-item/c1015083323/">C1015083323</a> appeared first on <a rel="nofollow" href="https://www.ijsp.latticescipub.com">Indian Journal of Signal Processing (IJSP)</a>.</p>
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										<content:encoded><![CDATA[<p>The Indian Journal of Signal Processing (IJSP) has ISSN 2582-8320 (online), open-access, peer-reviewed, periodical quarterly international journal, which is published by Lattice Science Publication (LSP) in February, May, August and November. The aim of the journal is to publish high quality peer–reviewed original articles in the area of Signal Processing that covers Analog Filter Design, Applications of Fourier Transforms, Coding Theory, Continuous Time Signals, Digital Communication Techniques, Digital Design and Synthesis, Digital Filter Structure, Digital Systems – Characterization, Description and Testing, Discrete Fourier Transform, DSP Algorithms and Architecture, IR Filters, IIR Filters, Linear Algebra for Signal Processing, Linear and Nonlinear Optimization, Multirate Signal Processing, Optical, Signal Processing, Random Processes, Signal Compression-Theory and Methods, Simple Digital Filters, Speech and Audio Processing, Wavelet Theory, Filter Design and Structures, Fast Algorithms, Adaptive filters, Nonlinear Signals and Systems, Multirate Filtering and Filter Banks, Signal Reconstruction, Time-Frequency Analysis, Spectral Estimation, Higher Order Spectrum Analysis, Parameter Estimation, Detection, Array Signal Processing, Statistical Signal Analysis, Signal and System Modelling, Cyclostationary Signal Analysis, Speech Production and Perception, Speech Analysis, Speech Synthesis, Speech Coding, Speech Recognition, Speech Enhancement and Noise Reduction, Active Noise Control, Active Noise Reduction, Echo Cancellation, Psychoacoustics, Broadband Audio Coding, Signal Processing for Music, Binaural Systems, Room Acoustics, Digital Transforms, HDTV, Multidimensional Systems, Machine Vision, Image Coding, Image Motion / Sequence / Video, Computed Imaging, Geophysical and Seismic Processing, Image Analysis and Segmentation, Image Filtering, Restoration and Enhancement, Image Representation and Modelling, Pattern Recognition, Neural Networks, Fuzzy Systems, Evolutionary Computation, Expert Systems, Multisensor Data Fusion, Architectures and VLSI Hardware, Programmable Signal Processors, Algorithms and Applications Mappings, Design Methology and CAD Tools, Languages and Real Time Software, Real Time System Estimation, Optimization Problems in Signal Processing, Radar, Sonar, Biomedical Processing, Geophysical Signal Processing, Underwater Signal Processing, Remote Sensing, Robotics, Astronomy, Classification, Crime on the Web, Security/Publicity/Privacy/Reputation, Frauds in Business Reputation, Satellite Signals Processing, Measure and Instrumentation. #Analog Filter Design #Applications of Fourier Transforms #Coding Theory #Continuous Time Signals #Digital Communication Techniques #Digital Design and Synthesis #Digital Filter Structure #Digital Systems – Characterization #Description and Testing #Discrete Fourier Transform #DSP Algorithms and Architecture #IR Filters #IIR Filters #Linear Algebra for Signal Processing #Linear and Nonlinear Optimization #Multirate Signal Processing #Neural Networks #Optical #Signal Processing #Random Processes #Signal Compression-Theory and Methods #Simple Digital Filters #Speech and Audio Processing #Wavelet Theory #Filter Design and Structures #Fast Algorithms #Adaptive filters #Nonlinear Signals and Systems #Multirate Filtering and Filter Banks #Signal Reconstruction #Time-Frequency Analysis #Spectral Estimation #Higher Order Spectrum Analysis #Parameter Estimation #Detection #Array Signal Processing #Statistical Signal Analysis #Signal and System Modelling #Cyclostationary Signal Analysis #Speech Production and Perception #Speech Analysis #Speech Synthesis #Speech Coding #Speech Recognition #Speech Enhancement and Noise Reduction #Active Noise Control #Active Noise Reduction #Echo Cancellation #Psychoacoustics #Broadband Audio Coding #Signal Processing for Music #Binaural Systems #Room Acoustics #Digital Transforms #HDTV #Multidimensional Systems #Machine Vision #Image Coding #Image Motion / Sequence / Video #Computed Imaging #Geophysical and Seismic Processing #Image Analysis and Segmentation #Image Filtering #Restoration and Enhancement #Image Representation and Modelling #Pattern Recognition #Neural Networks #Fuzzy Systems #Evolutionary Computation #Expert Systems #Multisensor Data Fusion #Architectures and VLSI Hardware #Programmable Signal Processors #Algorithms and Applications Mappings #Design Methology and CAD Tools #Languages and Real Time Software #Real Time System Estimation #Optimization Problems in Signal Processing #Radar #Sonar #Biomedical Processing #Geophysical Signal Processing #Underwater Signal Processing #Remote Sensing #Robotics #Astronomy #Classification #Crime on the Web #Security/Publicity/Privacy/Reputation #Frauds in Business Reputation #Satellite Signals Processing #Measure and Instrumentation #PhD #Academic #Scopus #SCI #LatticeScience #Springer, #ScienceDirect #IEEE #Mendeley #Research #Scholarship #UGC #SSRN #LatticeScience #ESCI #Science #Journal #Conference #SSRN #PubLons</p>
<div  class='flex_column av-2lrkxz-406b6ca65bd8046d8e7253edfbaae440 av_one_full  avia-builder-el-0  avia-builder-el-no-sibling  first flex_column_div  '     ><div  class='av_promobox av-llul2ci5-51414f322f35766a55802a3fbed38623 avia-button-yes  avia-builder-el-1  avia-builder-el-no-sibling '><div class='avia-promocontent'></p>
<p style="text-align: justify;"><span style="font-family: 'times new roman', times, serif;"><span style="font-size: 14pt;"><strong><span style="font-size: 18pt;">Spectral Variability in Fixed Windows using Fractional Fourier Transform: Application in Power Spectral Density Estimation</span><a href="https://crossmark.crossref.org/dialog/?doi=10.54105/ijsp.C1015.083323&amp;domain=https://www.ijsp.latticescipub.com"><img decoding="async" id="crossmark-icon" class="alignright" src="https://crossmark-cdn.crossref.org/widget/v2.0/logos/CROSSMARK_Color_horizontal.svg" alt="CROSSMARK Color horizontal" width="150" height="33"></a><br />
</strong>Rahul Pachauri<br />
</span></span><br />
<span style="font-size: 12pt; font-family: 'times new roman', times, serif;">
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<p style="text-align: justify;"><span style="font-size: 12pt;"><span style="font-family: times new roman, times, serif;">Manuscript received on 05 June 2023 <strong>|</strong> Revised Manuscript received on 14 July 2023 <strong>|</strong> Manuscript Accepted on 15 August 2023 <strong>|</strong> Manuscript published on 30 August 2023 </span><strong style="font-family: 'times new roman', times, serif;">|</strong><span style="font-family: times new roman, times, serif;"> PP: 1-9<strong> |</strong> Volume-3 Issue-2, August 2023 </span><strong style="font-family: 'times new roman', times, serif;">|</strong><span style="font-family: times new roman, times, serif;"> Retrieval Number: 100.1/ijsp.C1015083323 </span><strong style="font-family: 'times new roman', times, serif;">|</strong><span style="font-family: times new roman, times, serif;"> DOI: </span><a style="font-family: &#039;times new roman&#039;, times, serif;" href="http://doi.org/10.54105/ijsp.C1015.083323" target="_blank" rel="noopener">10.54105/ijsp.C1015.083323</a><br />
</span><br />
<span style="font-family: 'times new roman', times, serif; font-size: 10pt;"> <i class="fa fa-unlock-alt" style="font-size: 12px; color: blue;"></i><span style="font-size: 12pt;"><a href="https://www.openaccess.nl/en/open-publications" target="_blank" rel="noopener"> Open Access</a></span></span><span style="font-size: 12pt; font-family: 'times new roman', times, serif;"><strong> |</strong> <i class="far fa-file-alt" style="color: blue;"></i><a href="https://www.ijsp.latticescipub.com/ethics-policies/"> Editorial and Publishing Policies</a> | <i class="fa fa-quote-right" style="color: blue;"></i><a href="https://citation.crosscite.org/" target="_blank" rel="noopener"> Cite</a> <strong>|</strong> <i class="fa fa-plus" style="color: blue;" aria-hidden="true"></i><a href="https://zenodo.org/record/8285885" target="_blank" rel="noopener">Zenodo</a> <strong> |</strong> <i class="fa fa-database" style="color: blue;" aria-hidden="true"></i><a href="https://www.ijsp.latticescipub.com/indexing/"> Indexing and Abstracting</a></span><br />
<span style="font-size: 10pt; font-family: 'times new roman', times, serif;"> © The Authors. Published by Lattice Science Publication (LSP). This is an <a href="https://www.openaccess.nl/en/open-publications" target="_blank" rel="noopener">open access</a> article under the CC-BY-NC-ND license <a href="https://creativecommons.org/licenses/by-nc-nd/4.0/" target="_blank" rel="noopener">(http://creativecommons.org/licenses/by-nc-nd/4.0/)</a></span></p>
<p style="text-align: justify;"><span style="font-family: 'times new roman', times, serif; font-size: 14pt;"><strong>Abstract:</strong> In statistical signal processing, power spectral density estimation is a frequency domain analysis in which power contents of a signal are measured with respect to frequency components of that signal. The power estimation of a signal can be carried out more precisely by using a window with a narrower 3-dB bandwidth and higher side-lobe attenuation. Theoretically, these two spectral parameters show trade-off in variable windows and remain constant in fixed windows. In this work, spectral behavior of fixed windows has been elaborated using Fractional Fourier Transform (FRFT) keeping their inherent time domain behavior intact. The FRFT is an extension of conventional Fourier transform with an additional variable parameter, known as rotation angle, which makes it more flexible and useful in various signal processing applications viz. power estimation and designing of tunable transition band FIR filters. In this article, variability in 3-dB bandwidth and sidelobe attenuation of fixed windows has been achieved by exploiting the available flexibility in FRFT and obtained variability has been applied in the estimation of signal power. Simulation results demonstrate that both of these two spectral parameters are improved and hence, trade-off problem between resolution and spectral leakage in the power spectral density estimation is overcome upto an extent.<br />
</span><br />
<span style="font-family: 'times new roman', times, serif; font-size: 12pt;"><span style="font-size: 14pt;"> <strong>Keywords:</strong> <span style="font-family: 'times new roman', times, serif; font-size: 14pt;">Spectral Variability, Fractional Fourier Transform, Power Spectral Density Estimation, Fixed Windows.</span></span><br />
<span style="font-size: 14pt;"> <strong>Scope of the Article:</strong> Signal Processing</span><br />
</span></p>
<p>
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<p>The post <a rel="nofollow" href="https://www.ijsp.latticescipub.com/portfolio-item/c1015083323/">C1015083323</a> appeared first on <a rel="nofollow" href="https://www.ijsp.latticescipub.com">Indian Journal of Signal Processing (IJSP)</a>.</p>
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