Last edited by Mojin
Monday, October 5, 2020 | History

5 edition of Digital pulse compression using multirate filter banks found in the catalog.

Digital pulse compression using multirate filter banks

by Steffen, Andreas

  • 94 Want to read
  • 33 Currently reading

Published by Hartung-Gorre Verlag in Konstanz .
Written in English

    Subjects:
  • Pulse compression radar.,
  • Signal processing -- Digital techniques.

  • Edition Notes

    StatementAndreas Steffen.
    SeriesSeries in microelectronics,, v. 15
    Classifications
    LC ClassificationsTK6592.P85 S74 1991
    The Physical Object
    Paginationxi, 195 p. :
    Number of Pages195
    ID Numbers
    Open LibraryOL1449570M
    ISBN 103891914695
    LC Control Number93101094
    OCLC/WorldCa26701608

    One of the most practical and successful applications of multirate filters is in video or audio compression using subband coding. Consider an example of audio subband coding shown in Figure Let us say that one needs to sample the signal at a . Channel equalization in filter bank based multicarrier (FBMC) modulation is addressed. We utilize an efficient oversampled filter bank concept with 2x-oversampled subcarrier signals that can be equalized independently of each other. Due to Nyquist pulse shaping, consecutive symbol waveforms overlap in time, which calls for special means for equalization.

    The Haar Filter Bank: 50 kb: Adv. Digital Signal Processing - Multirate and wavelets: Lec_Quizzes: Frequency domain behaviour of Haar filter banks: 55 kb: Adv. Digital Signal Processing - Multirate and wavelets: Lec_Quizzes: Relation between fi,si and the Filters: 47 kb: Adv. Digital Signal Processing - Multirate and wavelets: Lec_Quizzes. This paper presents the multirate and re-sampling techniques to realize a low-delay, band quasi-ANSI filter bank for digital hearing aids, which not only achieves a rather low computation complexity without a significant increase in the latency, but reduces greatly the total computation complexity for sub-band signal processing followed by the filter bank, such as noise reduction as well as.

    Pulse Compression Gain. With the help of pulse compression, a relatively long transmission pulse with comparatively low peak power can achieve a better, longer range than the basic radar equation would suggest. This is because pulse compression can still detect echo signals that have already disappeared in the noise before pulse compression. Strictly speaking, "multirate" means you are processing or sampling the signals at different rates in the same system. Usually the rates are multiples of one another. Allan Steinhardt mentioned one kind of multirate processing, which is decimation.


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Digital pulse compression using multirate filter banks by Steffen, Andreas Download PDF EPUB FB2

Digital pulse compression using multirate filter banks (Series in microelectronics) Perfect Paperback – by Andreas Steffen (Author) › Visit Amazon's Andreas Steffen Page. Find all the books, read about the author, and more. See search results for Author: Andreas Steffen. Multirate Filter Banks The preceding chapters have been concerned essentially with the short-time Fourier transform and all that goes with it.

After developing the overlap-add point of view in Chapter 8, we developed the alternative (dual) filter-bank point of view in Chapter chapter is concerned more broadly with filter banks, whether they are implemented using an FFT or by some.

Vaidyanathan's book is a very concise, yet enjoyable book on multirate systems and filter banks. Multirate systems and Filter banks represent some of the state-of-the-art research even today, and I'm a strong proponent of introducing the basic concepts as early as possible, even in Cited by: Abstract: Multirate systems and filter banks have traditionally played an important role in source coding and compression for contemporary communication applications, and many of the key design issues in such applications have been extensively explored.

We review developments on the comparatively less explored role of multirate filter banks and wavelets in channel coding and modulation for Cited by: We consider digital multi-rate implementation of LFM and NLFM pulse compression.

Optimized multirate filter banks for radar pulse compression. filtering using multirate filter banks is. In signal processing, a filter bank is an array of band-pass filters that separates the input signal into multiple components, each one carrying a single frequency sub-band of the original signal.

One application of a filter bank is a graphic equalizer, which can attenuate the components differently and recombine them into a modified version of the original signal. Multirate Digital Filters, Filter Banks, Polyphase Networks, and Applications: A Tutorial Multirate digital filters and filter banks find application in com- munications, speech processing, image compression, antenna sys- tems, analog voice privacy systems, and in the digital audio indus- try.

Books about Digital Signal Processing (DSP) and related subjects. This lists all books referenced in articles and tutorials on the dspGuru site.

Click on the title to purchase the book from Amazon. (When you purchase a book using one of the links below, we get a little kickback, which is a great way to support dspGuru’s free service.

Palghat P. Vaidyanathan (born in Kolkata, India on 16 October ) is the Kiyo and Eiko Tomiyasu Professor of Electrical Engineering at the California Institute of Technology, Pasadena, California, USA, where he teaches and leads research in the area of signal processing, especially digital signal processing (DSP), and its applications.

He has authored four books, and authored or coauthored. In FBMC, the pulse g (t) can be designed to achieve better time and frequency localization properties using filter design methods.

Usually, the prototype filter g (t) spans an integer K (overlapping factor) multiple length of symbol period T F = K must be noted that real and imaginary data values alternate on subcarriers and symbols, which is called offset QAM (OQAM). Multirate Signal Processing for Communication Systems: Current Practice and Next Generation Techniques fredric j harrisMultirate signal processing can reduce costs and improve performance in applications ranging from laboratory instruments to cable modems, wireless systems, and consumer entertainment products.

This book offers the first systematic, clear, and intuitive introduction to. Based on this study, many researches have been made: multirate signal reconstruction [24], wavelet expansion [4] audio signal compression [1], fractional delay filters [10], image processing [3.

Abstract: Reconfigurable digital receiver of radar system in FPGA required less computation and FPGA resources. Digital techniques like fast sampling ADC, Direct IQ generation, multi-rate filter, pulse compression are used in this design for improving the performance and reliability of.

overview of filter banks as applied to digital communication systems. Filter banks were originally proposed for application in speech compression more than 25 years ago (see references in [7]).

Today they are used for the compression of image, video, and audio signals, and the story of their success can be found in many references. The average compression ratio obtained with filter tap N=16 Kaiser Wavelet filter is %, for N=18, compression ratio is % and in case of N=20, compression ratio is %.

While, in case of the modified threshold from Table 3 compression ratio is % for N=16, at N=18, compression ratio is % and in case of N=20, compression ratio is.

The basic concepts and building blocks in multirate digital signal processing (DSP), including the digital polyphase representation, are reviewed. Recent progress, as reported by several authors in this area, is discussed. Several applications are described, including subband coding of waveforms, voice privacy systems, integral and fractional sampling rate conversion (such as in digital audio.

1 Basic Multirate Operations 2 Interconnection of Building Blocks Decimation and Interpolation Digital Filter Banks Basic Multi-rate Operations: Decimation and Interpolation Building blocks for traditional single-rate digital signal processing: multiplier (with a constant), adder, delay, multiplier (of 2.

Freely browse and use OCW materials at your own pace. There's no signup, and no start or end dates. Knowledge is your reward. Use OCW to guide your own life-long learning, or to teach others.

We don't offer credit or certification for using OCW. Made for sharing. Multirate Polyphase and Wavelet Filter Banks. The last chapter is devoted to the relatively advanced topic of perfect-reconstruction filter banks.

There has been much recent research literature regarding primarily critically sampled filter is appropriate in audio compression applications. This book, however, is not focused on compression applications, and therefore so-called.

Compression and Expansion, Multirate methods As shown in Fig.a compression of the signal in one domain results in an expansio n in the other, and vice versa. For continuous signals, if X (f) is the Fourier Transform of x (t), then 1/ k × X (f / k) is the Fourier Transform of x (kt), where k is the parameter controlling the.

Computing Convolutions Using Multirate Filter Banks 7 Signal Compression and Subband Coding teachers using the book.

We thus hope the book continues to play a useful role while getting a wider distribution. Enjoy it!Applications in Digital Audio Systems Subband Coding / Compression 5.A Warm-up Exercise Multirate Applications in Digital Audio Systems During A/D conversion: Oversampling to alleviate the stringent requirements on the analog anti-aliasing lter During D/A conversion: Filter to .A set of digital lowpass, bandpass, and highpass filters with a common input or a common output signal, as shown in Fig.is called a digital filter bank.

The structure of an M-band analysis filter bank is shown in Fig. a. Each subfilter H k (z) is called an analysis filter.