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Journal ArticleDOI

Logical convolution and discrete Walsh and Fourier power spectra

G. Robinson
- 01 Oct 1972 - 
- Vol. 20, Iss: 4, pp 271-280
TLDR
The Walsh power spectrum of a sequence of random samples is defined as the Walsh transform of the logical autocorrelation function of the random sequence and the Fourier power spectrum can be obtained from the Walsh power Spectrum by a linear transformation.
Abstract
The Walsh power spectrum of a sequence of random samples is defined as the Walsh transform of the logical autocorrelation function of the random sequence. The "logical" autocorrelation function is defined in a similar form as the "arithmetic" autocorrelation function. The Fourier power spectrum, which is defined as the Fourier transform of the arithmetic autocorrelation function, can be obtained from the Walsh power spectrum by a linear transformation. The recursive relations between the logical and arithmetic auto-correlation functions are derived in this paper. For a given process with computed or modeled autocorrelation function the Fourier and Walsh power spectra are computed by using the fast Fourier and Walsh transforms, respectively. Examples are given from the speech and imagery data.

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Dissertation

An efficient algorithm for total variation regularization with applications to the single pixel camera and compressive sensing

Chengbo Li
TL;DR: An efficient algorithm for total variation regularization with applications to the single pixel camera and compressive sensing was proposed in this paper, which is applicable to both single and multi-pixel cameras.
Journal ArticleDOI

Fast one-dimensional digital convolution by multidimensional techniques

TL;DR: The formulation is very general and includes block processing and sectioning as special cases and, when used with various fast algorithms for short length convolutions, results in improved multiplication efficiency.

Boundary object or bridging concept? A citation network analysis of

TL;DR: In this paper, a network analysis of bibliometric data to understand the extent to which resilience can be considered as a boundary object or a bridging concept in terms of its links across disciplines and scientific fields is presented.
Journal ArticleDOI

Walsh-Fourier Analysis and its Statistical Applications

TL;DR: The need for Walsh-Fourier analysis is explained, the history and properties of Walsh functions are reviewed, and the existing Walsh-fourier theory for real-time stationary time series is outlined.
Journal ArticleDOI

Natural, Dyadic, and Sequency Order Algorithms and Processors for the Walsh-Hadamard Transform

TL;DR: The Walsh-Hadamard transform has recently received increasing attention in engineering applications due to the simplicity of its implementation and to its properties which are similar to the familiar Fourier transform.
References
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Journal ArticleDOI

Statistics of television signals

TL;DR: The results are used to estimate the amount by which the channel capacity required for television transmission may be reduced through exploitation of the statistics measured.
Journal ArticleDOI

A model for the random video process

TL;DR: In this paper, a model for the random picture and expressions for second-order statistical properties of the video signal obtained from a conventional scanning operation on the picture is proposed. But the model is restricted to a few essential parameters, which will satisfactorily characterize the power spectral density of the random video signal.
Journal ArticleDOI

Further decomposition of the Karhunen-Loève series representation of a stationary random process

TL;DR: It is shown how the Karhunen-Loeve (K-L) series representation for a finite sample of a discrete random sequence, stationary to the second order, may be further decomposed into a pair of series by utilizing certain symmetry properties of the covariance matrix of the sequence.
Journal ArticleDOI

A Comparison of Orthogonal Transformations for Digital Speech Processing

TL;DR: Discrete forms of the Fourier, Hadamard, and Karhunen-Loeve transforms are examined for their capacity to reduce the bit rate necessary to transmit speech signals and these bit-rate reductions are shown to be somewhat independent of the transmission bit rate.
Journal ArticleDOI

Application of Walsh Functions to Transform Spectroscopy

TL;DR: In this article, Walsh functions are used in transform Spectroscopy to replace the sinusoidal functions appearing in the Fourier transform, and they take only the values + 1 and − 1 and are therefore suitable for the binary digital computer.