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This article recounts the development of radar signal processing at Lincoln Laboratory. The Laboratory''s significant efforts in this field were initially driven by the need to provide detected and processed signals for air and ballistic missile defense systems. The first processing work was on the SemiAutomatic Ground Environment (SAGE) airdefense system, which led to algorithms and ...
[32] B. Gold and C. M. Rader, Digital Processing of Signals. New 1966, ch. 7. ... FIR Digital Filter Design Techniques Using Weighted Chebyshev Approximation Znvired Paper ... make them attractive for digital signal processing applications.
M. Unser, ``Splines: A perfect fit for signal and image processing,'''' IEEE Signal Processing Magazine, vol. 16, pp. 2238, Nov. 1999. 85 V. Välimäki, DiscreteTime Modeling of .
B. Gold and C. M. Rader, Digital Processing of Signals (McGrawHill, New York, 1969) chapter 3. zbMATH Google Scholar 9. P. A. Lynn, ''Economic LinearPhase Recursive Digital Filters'' Electron.
This paper introduces a new structure to compute the digitreversal permutation in the radixB fast Fourier or Hartley studying the property of baseB numbers, we find that any baseB number, k, can be represented as the sum of three numbers: one baseB number, i; digital reverse of another baseB number, j; and a constant, z, in which the two baseB numbers i and j are no greater ...
A deterministic approach is used to evaluate bounds for the frequency of the digital oscillator considering either roundoff or magnitudetruncation quantisation. With a proper choice of the number of significant digits, any degree of approximation for a specified sinusoidal oscillation can be achieved.
Scientific Bases of HumanMachine Communication by Voice. Ronald W. Schafer * SUMMARY. The scientific bases for humanmachine communication by voice are in the fields of psychology, linguistics, acoustics, signal processing, computer science, and integrated circuit technology.
This article proposes a cost minimization approach to the problem of optimizing weighting digital windows used in classical 2D spectral analysis. We suggest a general criterion form characterizing the 2D spectral spreading caused by a window. Then this criterion is minimized and this results in an optimal shape of the window, extending an approach given by A. Papoulis in the case of ...
Signal processingAdvance table of contents Article (PDF Available) in Acoustics, Speech, and Signal Processing Newsletter, IEEE 51(1):22 22 · October 1980 with 47 Reads How we measure ''reads''
B. Gold and C. M. Rader, Digital Processing of Signals (New York: McGraw–Hill, 1969). Karp surveys and compares 30 different algorithms for bit reversal, developed between 1965 and .
Mathematics of the DFT Detailed derivation of the Discrete Fourier Transform (DFT) and its associated mathematics, including elementary audio signal processing applications and .
52 IEEE TRANSACTIONS ON AUDIO AND ELECTROACOUSTICS VOL. AU20, NO. 1 MARCH 1972 cation savings factor decreases with the increasing number Acknowledgment subfilters per subsection are used, in which case the filter is matched to the LFM waveform and 2.
In applied mathematics, a bitreversal permuation is a permutation of a sequence with n = 2 m (a power of two) elements, defined by reversing the binary digits of the index (0 to n − 1) of each element. The generalization to n = b m for an arbitrary integer b > 1 is a baseb digitreversal permutation, in which the baseb (radixb) digits of the index of each element are reversed to obtain ...
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ENGINEERING PORTS RE Microprocessor Mixing and Processing of Digital Audio Signals* G. W. McNALLY British Broadcasting Corporation, Tadworth, Surrey, England 0 INTRODUCTION Digital techniques are being used more and more in the control and processing of sound signals. ... B. Gold and C. M. Rader, Digital Processing of Signals (McGrawHill, New ...
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Many signal processing systems rely on the efficient calculation of the discrete Fourier transform. The basic equations are manipulated to yield architectures to suit differing technologies and performance requirements. Finally a primeradix transform algorithm is described offering very high performance that is ideally suited to presentday technology.
Matlab/Octave Examples This appendix provides Matlab and Octave examples for various topics covered in this book. The term `matlab'' (uncapitalized) refers to either Matlab or Octave []. Complex Numbers in Matlab and Octave . Matlab and Octave have the following primitives for complex numbers:
Summary Professor Alan V. Oppenheim is a principal investigator in the Research Laboratory of Electronics (RLE) at the Massachusetts Institute of Technology (MIT).
In this chapter, the basic concepts of digital signal processing will be introduced, leading to a mathematical description of a digital signal processor in terms of, first, a difference equation and, second, a zdomain transfer the process, the effects of sampling and quantization will be briefly touched upon.
Introduction to Digital Filtering has been compiled from the course material. My initial reaction on seeing the book was regret that so long had elapsed between the original writing and the publication of this book. For several years, the only book treating the subject was Digital Processing ofsignals by B. Gold and C. M. Rader
3. Reliable system input and output data arc assured to have more accurate results because information can be well preserved under the Legendre transformation. REFERENCES 1. B. Gold and C. Rader, Digital Processing of Signals. McGrawHill, New York (19691. 2. K. G. Beauchamp, Walsh Functions and Their Applications. Techniques of Physics Series ...
Bibliography [1] S. W. Smith, The Scientists and Engineers Guide to Digital Signal Processino. San Diego, California: California Technical Publishing, 2nd ed., 1999. [2] 1. Daubechies, Ten Lectures on Wavelets. Society for Industrial and Applied Math ematics, 1992.
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