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Academic literature on the topic 'Kaiser window'

Author: Grafiati
Published: 4 June 2021
Last updated: 12 June 2025

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Journal articles on the topic "Kaiser window"

1

Lee, Judy P., and Melvin B. Comisarow. "Advantageous Apodization Functions for Magnitude-Mode Fourier Transform Spectroscopy." Applied Spectroscopy 41, no. 1 (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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2

Bai, Le Qiang, and Xue Wei Zhang. "Improved Window Function in the Application of MFCC Feature Parameter Extraction." Applied Mechanics and Materials 556-562 (May 2014): 3703–6. http://dx.doi.org/10.4028/www.scientific.net/amm.556-562.3703.

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In view of spectrum leakage and the contradictory problem of spectrum accuracy of main lobe and reducing spectrum leakage, MFCC algorithm based on improved window function is proposed. Improved window function is based on the mathematical analysis of Kaiser window, and under the condition of finite sampling points minuses weighted impact function where is at the frequencies that side lobe peaks of correspond to. The amplitude of improved window compared with Kaiser window is smaller, and main lobe width is the same, solving the conflicting problem of main lobe width and side lobe amplitude and reducing spectrum leakage. The experimental results show that speech recognition rate of MFCC feature parameter extraction algorithm based on improved window function is better than Kaiser window and Hamming window.
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3

Reja, Mohammad Istiaque, Md Golam Murtuza, and Roki Roy. "Combinations of Different FIR Windows for Removal of Baseline and Power Line Noise from Electrocardiogram." Modern Applied Science 12, no. 9 (2018): 119. http://dx.doi.org/10.5539/mas.v12n9p119.

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Electrocardiogram (ECG) is a vital tool used for diagnosing various heart diseases. It is the graphical representation of the electrical activity of the heart. But the electrocardiographic signals are often corrupted by noise from diverse sources. The most significant noises that corrupt ECG signal are power line interference and baseline wanders. It is necessary to reduce the amount of these disturbances from ECG signal for proper identification and interpretation of heart condition. This paper investigates the performance of the different 'Band stop filter-High Pass filter' combinations of window based FIR filter for removing the baseline wander and power line noise present in electrocardiogram. The ECG signal is generated and then noises are added to the ECG signal using MATLAB® where filters are designed and analyzed using Filter Design and Analysis Tool (FDATool). 49 different 'Band stop filter-High Pass filter' combinations are made using seven different FIR windows namely Bartlett, Chebyshev, Hamming, Hann, Kaiser, Rectangular, Triangular. For filter order of 350 and 450, the performance of different window combinations are compared and analyzed in terms of Signal power, Peak-to-peak value, Signal to Noise Ratio (SNR) and Mean Square Error (MSE) of the filtered output. A further analysis of the waveforms of the filtered output show that the combinations where both the bandstop and highpass filters are either Kaiser or Rectangular window i.e. Kaiser-Kaiser, Kaiser-Rectangular, Rectangular-Kaiser and Rectangular-Rectangular windows give the best performance in reducing both the baseline noise and high frequency power line noise. It is also found that the reduction of baseline noise is better if 450 filter order is used instead of 350 order in the above mentioned best four combinations, although the amount of delay for 450 order is slightly higher.
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4

Pachauri, Rahul, Rajiv Saxena, and Sanjeev N. Sharma. "Studies on Z-Window Based FIR Filters." ISRN Signal Processing 2013 (September 1, 2013): 1–8. http://dx.doi.org/10.1155/2013/148646.

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As per classification of the window functions, the Z-windows are grouped in the category of steerable side-lobe dip (SSLD) windows. In this work, the application of these windows for the design of FIR filters with improved filter parameters has been explored. The numbers of dips with their respective positions in the side-lobe region have been compositely used to tailor the window shape. Filter design relationships have been established and included in this paper. Simultaneously, an application of these Z-window based FIR filters in designing two-channel quadrature mirror filter (QMF) bank has been presented. Better values of reconstruction and aliasing errors have been achieved in contrast to the Kaiser window based QMF bank.
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5

Kumar, Susheel, Munish Verma, Vijay K. Lamba, Avinash Kumar, and Sandeep Kumar. "COMPARATIVE ANALYSIS OF EXPONENTIAL WINDOW FUNCTION FOR DESIGNING OF FIR FILTERS." INTERNATIONAL JOURNAL OF COMPUTERS & TECHNOLOGY 3, no. 2 (2012): 329–34. http://dx.doi.org/10.24297/ijct.v3i2c.2895.

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Filters are very commonly found in everyday life and include examples such as water filters for water purification, mosquito nets that filter out bugs, bouncers at bars filtering the incoming guests according to age (and other criteria), and air filters found in air conditioners that we are sometimes a bit too lazy to change/clean periodically. Filters have two uses: signal separation and signal restoration. Signal separation is needed when a signal has been contaminated with interference, noise, or other signals. For example, imagine a device for measuring the electrical activity of a baby's heart (EKG) while still in the womb. The raw signal will likely be corrupted by the breathing and heartbeat of the mother. A filter might be used to separate these signals so that they can be individually analyzed. Signal restoration is used when a signal has been distorted in some way. For example, an audio recording made with poor equipment may be filtered to better represent the sound as it actually occurred [1, 2]. The main goal of this work is to study the exponential  window function and analyze a digital low pass FIR filter using the same in MATLAB. Properties of window functions is studied and frequeny domain responses of window functions is obtained. Then FIR filter is designed using widow design method and its characteristics have also been studied in frequency domain. The performace comparison between LPFs designed using other well known windows like Kaiser, Exponential, Cosh and modified kaiser window is done and it has been intuitively shown that for a given order and transition width, the filter designed using Exponential window provides the worse minimum stop band attenuation but better far end attenuation than filter designed by well known Kaiser Window.
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6

Lee, Judy P., and Melvin B. Comisarow. "Advantageous Apodization Functions for Absorption-Mode Fourier Transform Spectroscopy." Applied Spectroscopy 43, no. 4 (1989): 599–604. http://dx.doi.org/10.1366/0003702894202517.

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A systematic examination of the efficacy of window functions for reduction of the spectral skirt of absorption-mode Fourier transform spectra is reported. A window which has its maximum at the beginning and its minimum at the end of the time-domain data gives a satisfactory absorption line shape. In contrast, a symmetrical window with its minima at the ends and its maximum in the middle gives an unsatisfactory absorption line shape. These symmetrical windows are satisfactory for apodization of magnitude spectra. The efficacy for reducing the spectral skirt 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 window is dependent upon the required dynamic range and the amount of damping in the time-domain data. For a dynamic range of 100:1, the Noest-Kort absorption window and the Norton-Beer F3 windows are the windows of choice. For a dynamic range of 1000:1, either the Filler E0.20 window or the Kaiser-Bessel window can be recommended. The sensitivity change accruing from windowing is reported for all windows examined, for a damping range from zero to essentially complete damping
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7

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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8

Nilchian, Masih, John Paul Ward, Cedric Vonesch, and Michael Unser. "Optimized Kaiser–Bessel Window Functions for Computed Tomography." IEEE Transactions on Image Processing 24, no. 11 (2015): 3826–33. http://dx.doi.org/10.1109/tip.2015.2451955.

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9

Kodituwakku, S., R. A. Kennedy, and T. D. Abhayapala. "Kaiser window based kernel for time-frequency distributions." Electronics Letters 45, no. 4 (2009): 235. http://dx.doi.org/10.1049/el:20093130.

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10

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 (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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