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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. McGraw-Hill, New York (19691. 2. K. G. Beauchamp, Walsh Functions and Their Applications. Techniques of Physics Series ...
B. Gold and C. Rader, Digital Processing of Signals. J. W. Cooley and J. W. Tukey, "An algorithm for the ... affects the performance of an FIR digital filter. 1) Quantization of the results of arithmetic opera- ... tion process is modeled as a white noise source whose
B. Gold and C. M. Rader, Digital Processing of Signals (McGraw-Hill, New York, 1969) chapter 3. zbMATH Google Scholar 9. P. A. Lynn, 'Economic Linear-Phase Recursive Digital Filters' Electron.
Errors in digital processing of signals (Gold and Rader, 1969) B. Gold; C. Rader. Publication Year: 1981, Page (s): 3 - 3. Abstract (100 Kb) Presents corrections to errors found in the book, "Digital processing of signals (Gold and Rader, 1969). View more.
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 .
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 z-domain transfer function.In the process, the effects of sampling and quantization will be briefly touched upon.
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Scientific Bases of Human-Machine Communication by Voice. Ronald W. Schafer * SUMMARY. The scientific bases for human-machine communication by voice are in the fields of psychology, linguistics, acoustics, signal processing, computer science, and integrated circuit technology.
Mathematics of the DFT Detailed derivation of the Discrete Fourier Transform (DFT) and its associated mathematics, including elementary audio signal processing applications and .
The third edition emphasizes a concentrated revision of Parts II & III (leaving Part I virtually intact). The larger sections will show greater elaboration of the basic concepts of stochastic processes, typical sequences of random variables, and a greater emphasis on realistic methods of .
A deterministic approach is used to evaluate bounds for the frequency of the digital oscillator considering either roundoff or magnitude-truncation quantisation. With a proper choice of the number of significant digits, any degree of approximation for a specified sinusoidal oscillation can be achieved.
This paper describes a special-purpose processor for use in performing various operations on sampled signals. The system is fast, flexible, and programmable for performing, in real time, operations...
M. Unser, ``Splines: A perfect fit for signal and image processing,'' IEEE Signal Processing Magazine, vol. 16, pp. 22-38, Nov. 1999. 85 V. Välimäki, Discrete-Time Modeling of .
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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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
This article proposes a cost minimization approach to the problem of optimizing weighting digital windows used in classical 2-D spectral analysis. We suggest a general criterion form characterizing the 2-D 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 ...
In applied mathematics, a bit-reversal 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 base-b digit-reversal permutation, in which the base-b (radix-b) digits of the index of each element are reversed to obtain ...
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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 prime-radix transform algorithm is described offering very high performance that is ideally suited to present-day technology.
In applied mathematics, a bit-reversal permutation is a permutation of a sequence of n items, where n = 2 k is a power of two.It is defined by indexing the elements of the sequence by the numbers from 0 to n − 1 and then reversing the binary representations of each of these numbers (padded so that each of these binary numbers has length exactly k).
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 Semi-Automatic Ground Environment (SAGE) air-defense system, which led to algorithms and ...
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:
This paper introduces a new structure to compute the digit-reversal permutation in the radix-B fast Fourier or Hartley transform.By studying the property of base-B numbers, we find that any base-B number, k, can be represented as the sum of three numbers: one base-B number, i; digital reverse of another base-B number, j; and a constant, z, in which the two base-B numbers i and j are no greater ...
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