Relevant bibliographies by topics / Hamming window

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  1. Journal articles
  2. Dissertations / Theses
  3. Book chapters
  4. Conference papers

Academic literature on the topic 'Hamming window'

Author: Grafiati
Published: 4 June 2021
Last updated: 1 February 2022

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Journal articles on the topic "Hamming window"

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Samad, Md Abdus, Jia Uddin, and Md Razu Ahmed. "FIR Filter Design Using Modified Lanczos Window Function." Advanced Materials Research 566 (September 2012): 49–56. http://dx.doi.org/10.4028/www.scientific.net/amr.566.49.

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Attenuated side lobe peak in the range of around ~-45dB is required in many applications of signal processing and measurements. However, the problem is usual window based FIR filter design lies in its side lobes amplitudes that are higher than the requirement of application. We propose a modified Lanczos window function by heuristic by examining the Lanczos window, which has better performance like equiripple, minimum side lobe compared to the several commonly used windows. The proposed window has slightly larger main lobe width of the commonly used Hamming window, while featuring 5.1~18.5 dB smaller side lobe peak. The proposed modified Lanczos window maintains its maximum side lobe peak about -55.2~-51.9 dB compared to -39~-36.7 dB of Hamming window for M=10~14, while offering roughly equal main lobe width. Our simulated results also show significant performance upgrading of the proposed modified Lanczos window compared to the Kaiser, Gaussian, and Lanczos windows. The proposed modified Lanczos window also shows better performance than Dolph-Chebyshev window. Finally, the example of designed low pass FIR filter confirms the efficiency of the proposed modified Lanczos window.
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Mottaghi-Kashtiban, M., and M. G. Shayesteh. "New efficient window function, replacement for the Hamming window." IET Signal Processing 5, no. 5 (2011): 499. http://dx.doi.org/10.1049/iet-spr.2010.0272.

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Bojkovic, Zoran S., Bojan M. Bakmaz, and Miodrag R. Bakmaz. "Hamming Window to the Digital World." Proceedings of the IEEE 105, no. 6 (June 2017): 1185–90. http://dx.doi.org/10.1109/jproc.2017.2697118.

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Ahmad, Ashraf Adamu, Abdullahi Daniyan, and David Ocholi Gabriel. "Selection of window for inter-pulse analysis of simple pulsed radar signal using the short time Fourier transform." International Journal of Engineering & Technology 4, no. 4 (November 17, 2015): 531. http://dx.doi.org/10.14419/ijet.v4i4.5139.

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The electronic intelligence (ELINT) system is used by the military to detect, extract information and classify incoming radar signals. This work utilizes short time Fourier transform (STFT) - time frequency distribution (TFD) for inter-pulse analysis of the radar signal in order to estimate basic radar signal time parameters (pulse width and pulse repetition period). Four well-known windows functions of different and unique characteristics were used for the localization of STFT to determine their various effects on the analysis. The window functions are Hamming, Hanning, Bartlett and Blackman window functions. Monte Carlo simulation is carried out to determine the performance of the signal analysis in presence of additive white Gaussian noise (AWGN). Results show that the lower the transition of main lobe width and higher the peak side lobe, the better the performance of the window function irrespective of time parameter being estimated. This is because 100 percent probability of correct estimation is achieved at signal to noise ratio of about -2dB for Bartlett, 4dB for both Hamming and Hanning, and 9dB for Blackman.
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Lee, Judy P., and Melvin B. Comisarow. "Advantageous Apodization Functions for Magnitude-Mode Fourier Transform Spectroscopy." Applied Spectroscopy 41, no. 1 (January 1987): 93–98. http://dx.doi.org/10.1366/0003702874868016.

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A systematic examination of the efficacy of window functions for reducing the spectral skirt of magnitude-mode Fourier transform spectra is reported. The efficacy is examined for the general case of a damped time-domain signal, with specific cases ranging from undamped to essentially completely damped signals. The choice of the optimal window is dependent upon the required dynamic range and the amount of damping in the time-domain data. For a dynamic range of less than 100:1 and moderate damping, the Hamming window is the window of choice. For larger dynamic ranges or greater damping, the 3-term Blackman-Harris window and the Kaiser-Bessel window are the windows of choice. The 3-term Blackman-Harris window is preferred for a dynamic range of 1,000:1 and the Kaiser-Bessel window is preferred for a dynamic range of 10,000:1. The sensitivity (signal-to-noise ratio) reduction for windows is reported for a damping range from zero to essentially complete damping. All windows examined have the same sensitivity reduction within 25%.
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Wang, Yun Long, and Shi Hu Wang. "An Excellent 2D Window Function." Applied Mechanics and Materials 651-653 (September 2014): 2116–20. http://dx.doi.org/10.4028/www.scientific.net/amm.651-653.2116.

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In the aid of sinc sum function and matrix equation a new 2D window function is obtained. It is as simple as a 2D cosine window function. Comparison shows that the new 2D window function can provide much better 2D FIR filters than 2D Hamming window function. Maximum passband ripples are about 2.5-3.5 times smaller and maximum stopband ripples are about 1.5 times smaller with equal or very small different passband and stopband edge frequencies.
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Xu, Shanding, Xiwang Cao, Jiafu Mi, and Chunming Tang. "Simplified Bounds on FHSs Set and Its Strictly Optimal Construction." International Journal of Foundations of Computer Science 31, no. 04 (June 2020): 499–513. http://dx.doi.org/10.1142/s0129054120500215.

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Frequency-hopping sequences (FHSs) with favorite partial Hamming correlation properties are intensively needed in many synchronization and multiple-access systems. Strictly optimal FHS sets are a kind of FHS sets which has optimal Hamming correlation for any correlation window. In this paper, firstly we present simplified representations of the generalized Lempel–Greenberger bound on the partial Hamming autocorrelation of an FHS and the generalized Peng-Fan bound on the partial Hamming correlation of an FHS set, respectively. Secondly, we propose a direct construction of strictly optimal FHS sets, which interprets the previous construction proposed by Cai, Zhou, Yang and Tang. By choosing appropriate parameters and bijections, we present more flexible constructions of strictly optimal FHS sets.
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Podder, Prajoy, Tanvir Zaman Khan, Mamdudul Haque Khan, and M. Muktadir Rahman. "Comparative Performance Analysis of Hamming, Hanning and Blackman Window." International Journal of Computer Applications 96, no. 18 (June 18, 2014): 1–7. http://dx.doi.org/10.5120/16891-6927.

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AVCİ, Kemal. "Design of fir filters using exponential--Hamming window family." TURKISH JOURNAL OF ELECTRICAL ENGINEERING & COMPUTER SCIENCES 24 (2016): 2513–24. http://dx.doi.org/10.3906/elk-1312-246.

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Mbachu, C. B. "Height Adjustable Triangular (HAT) Window Function for Impulse Response Modification of Signal Processing Systems." European Journal of Engineering Research and Science 5, no. 3 (March 27, 2020): 358–66. http://dx.doi.org/10.24018/ejers.2020.5.3.1442.

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A widow function, in signal processing and statistics, is a mathematical function that has zero values outside its chosen interval or limit of sequence, normally symmetric around the middle of the interval. Usually the middle of the window is either maximum or near maximum and tappers smoothly as it moves away to the sides. When another function or sequence of data is mathematically multiplied by the window function it forces the product to assume its nature of zero-value outside the interval and tapering from middle to the sides. Windows are finite functions and their main function is to modify an infinite impulse response sequence so as to make it finite within its chosen interval in system design. Several windows are in existence and they include Hamming, rectangular, Han, Kaiser, Triangular, Blackman, Sine, Blackman-Harris, Gaussian, Doph-Chebyshev and Lanczos, windows. Others are Parzen, Nuttall, flat top, Turkey, windows and many more. The window to apply in the design depends on the characteristics of the signal to be processed, types of system to be implemented and quality of output desired. In this paper, a new window called Height Adjustable triangular (HAT) window function is developed and added to the list of windows for signal processing system designs. The effectiveness of the window is tested by examining its characteristics. The adjustment parameter varies the amplitude or height of the window. Result shows that it is stable and linear.
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Dissertations / Theses on the topic "Hamming window"

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Rodesten, Stephan. "Program för frekvensanalys." Thesis, Örebro universitet, Institutionen för naturvetenskap och teknik, 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:oru:diva-58157.

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Denna rapport täcker arbetsprocessen bakom att skapa en spektrumanalysator. Läsaren kommer att få läsa om den valda metoden men även alternativa metoder. Utöver detta kommer även de teoretiska delarna bakom varje moment att undersökas samt jämföras med potentiella alternativa lösningar. Projektet har utförts på uppdrag av KA Automation. Syftet med projektet var att skapa en basplattform för analys av ljudfrekvenser. Målet med detta var att kunna identifiera ljudegenskaper i form av frekvenserna hos exempelvis servomotorer i vattenpumpar. Tanken var att i ett senare utvecklingsskede kunna identifiera om och när nya frekvenser dykt upp i ljudprofilen vilket i sådana fall kan resultera i att motorn är i behov av service. Basplattformen är uppbyggd med hjälp av C# och ljudbehandlingsbiblioteket NAudio. Från resultatet kan slutsatsen dras att detta program kan analysera ljud och visa de olika frekvensernas styrka och därmed är en lämplig basplattform för vidareutveckling.
This report will cover the work process behind creating a spectrum analyzer. The reader will be able to read about the chosen method but also the alternative methods. Apart from this the theoretical parts behind every moment will also be covered and compared to potential alternative solutions. The project has been carried out on behalf of KA Automation. The purpose of the project was to create a base for analyzing sound frequencies. The goal was to be able to identify sound properties in the form of frequencies in servo motors in for example water pumps. The idea was to be able to in a later development stage be able to identify when new frequencies have entered the audio profile which might result in the motor to be in need of service. The base is created with the help of C# and the sound library NAudio. From the result one can conclude that this program can analyze sound and display the magnitude of its frequency components and is therefore a suitable base for future development.
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Dušil, Lubomír. "Automatické rozpoznávání logopedických vad v řečovém projevu." Master's thesis, Vysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií, 2009. http://www.nusl.cz/ntk/nusl-218161.

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The thesis is aimed at an analysis and automatic detection of logopaedic defects in speech utterance. Its objective is to facilitate and accelerate the work of logopaedists and to increase percentage of detected logopaedic defects in children of the youngest possible age followed by the most successful treatment. It presents methods of speech work, classification of the defects within individual stages of child development and appropriate words for identification of the speech defects and their subsequent remedy. After that there are analyses of methods of calculating coefficients which reflect human speech best. Also classifiers which are used to discern and determine whether it is a speech defect or not. Classifiers exploit coefficients for their work. Coefficients and classifiers are being tested and their best combination is being looked for in order to achieve the highest possible success rate of the automatic detection of the speech defects. All the programming and testing jobs has been conducted in the Matlab programme.
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Santos, Rui Miguel da Silva. "Criação de uma ferramenta para geração de impressões digitais de áudio." Master's thesis, 2018. http://hdl.handle.net/10400.6/10047.

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A utilização de aplicações com o intuito de realizar um reconhecimento de áudio tem crescido nos últimos tempos. Uma das aplicações mais reconhecidas, neste momento, é o Shazam que tem como objetivo o reconhecimento de músicas. Nesta é possível, ao realizar uma captura de áudio ficar-se a saber qual o nome da banda e da música em questão. Assim sendo, neste projeto são apresentados dois métodos capazes de construir um audio fingerprint e a sua classificação. Aqui, serão descritos todos os procedimentos realizados bem como realizada uma discussão dos testes e resultados obtidos pelo sistema desenvolvido. Está presente uma comparação relativamente ao desempenho observado pelos dois métodos desenvolvidos. Adicionalmente, é realizado um estudo relativo ao estado desta área.
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Book chapters on the topic "Hamming window"

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Malik, Jyoti, G. Sainarayanan, and Ratna Dahiya. "Sliding Window-Based Fast Corner Matching Palmprint Authentication." In Intelligent Computer Vision and Image Processing, 160–78. IGI Global, 2013. http://dx.doi.org/10.4018/978-1-4666-3906-5.ch012.

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Authentication time is the main and important part of the authentication system. Normally the response time should be fast but as the number of persons in the database increases, there is probability of more response time taken for authentication. The need of fast authentication system arises so that authentication time (matching time) is very less. This paper proposes a sliding window approach to make fast authentication system. The highlight of sliding window method is constant matching time, fast and can match translated images also. Several palmprint matching methods like match by correlation etc. are dependent upon the number of corners detected and so is the matching time. In sliding window method, matching time is constant as the numbers of matching operations are limited and the matching time is independent of the number of corners detected. The palmprint corner features extracted using two approaches Phase Congruency Corner Detector and Harris Corner Detector are binarized so that only useful information (features) is matched. The two approaches of Phase Congruency Corner Detector and Harris Corner Detector, when matched with hamming distance using sliding window can achieve recognition rate of 97.7% and 97.5% respectively.
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Dumas, Alexandre. "LXIX the workmen." In Twenty Years After. Oxford University Press, 2008. http://dx.doi.org/10.1093/owc/9780199537266.003.0070.

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Towards the middle of the night, Charles heard a great noise under his window; it was caused by hammering, chopping, and sawing. As he had thrown himself on his bed dressed, and was just going to sleep, the disturbance awoke him with a start;...
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Conference papers on the topic "Hamming window"

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Kamislioglu, Bircan, and Nurhan Karaboga. "QMF bank design with Cosh-Hamming window." In 2015 23th Signal Processing and Communications Applications Conference (SIU). IEEE, 2015. http://dx.doi.org/10.1109/siu.2015.7129924.

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Goel, Akshay, and Ankita Gupta. "Design of satellite payload filter emulator using hamming window." In 2014 International Conference on Medical Imaging, m-Health and Emerging Communication Systems (MedCom). IEEE, 2014. http://dx.doi.org/10.1109/medcom.2014.7006004.

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TAHIR, N., and M. BOUDRAA. "Physical Implementation of Cosine Function Used in the Hamming Window." In 2018 International Conference on Communications and Electrical Engineering (ICCEE). IEEE, 2018. http://dx.doi.org/10.1109/ccee.2018.8634527.

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Avci, K. "Performance analysis of Kaiser-Hamming window for nonrecursive digital filter design." In 2013 21st Signal Processing and Communications Applications Conference (SIU). IEEE, 2013. http://dx.doi.org/10.1109/siu.2013.6531603.

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Ustun, Bilge, and Kemal Avci. "A New hybrid window based on Cosh and Hamming windows for nonrecursive digital filter design." In 2015 23th Signal Processing and Communications Applications Conference (SIU). IEEE, 2015. http://dx.doi.org/10.1109/siu.2015.7130333.

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Song, Yizhong, and Xin Peng. "Spectra Analysis of Sampling and Reconstructing Continuous Signal Using Hamming Window Function." In 2008 Fourth International Conference on Natural Computation. IEEE, 2008. http://dx.doi.org/10.1109/icnc.2008.335.

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Fajar, M. Chw Al, Mutia Fatmawati, Putri Wulandari, and Dwi Astharini. "Analysis of DFT and FFT Signal Transformation with Hamming Window in LabVIEW." In 2020 2nd International Conference on Broadband Communications, Wireless Sensors and Powering (BCWSP). IEEE, 2020. http://dx.doi.org/10.1109/bcwsp50066.2020.9249466.

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He, Z., and K. Hotate. "Enlargement of dynamic range by hamming window in synthesis of optical coherence function." In Conference on Lasers and Electro-Optics (CLEO 2000). Technical Digest. Postconference Edition. TOPS Vol.39. IEEE, 2000. http://dx.doi.org/10.1109/cleo.2000.907404.

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Avci, Kemal. "A study on the modification of Cosh-Hamming window for nonrecursive filter design." In 2017 25th Signal Processing and Communications Applications Conference (SIU). IEEE, 2017. http://dx.doi.org/10.1109/siu.2017.7960707.

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Kinnunen, Tomi, Rahim Saeidi, Johan Sandberg, and Maria Hansson-Sandsten. "What else is new than the hamming window? robust MFCCs for speaker recognition via multitapering." In Interspeech 2010. ISCA: ISCA, 2010. http://dx.doi.org/10.21437/interspeech.2010-724.

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