WorldCat Identities

Baker, C. R. (Charles R.) 1932-

Overview
Works: 26 works in 44 publications in 2 languages and 391 library holdings
Genres: Conference papers and proceedings  History 
Roles: Editor, Author, Other
Publication Timeline
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Most widely held works by C. R Baker
Stochastic processes in underwater acoustics by C. R Baker( Book )

14 editions published between 1986 and 2006 in English and German and held by 294 WorldCat member libraries worldwide

A souvenir history of ye old town of Salem, Ohio, with some pictures and brief references to ye people and things of ye olden time by Salem (Ohio)( Book )

2 editions published in 1906 in English and held by 58 WorldCat member libraries worldwide

Stochastic processes in underwater acoustics : collection of research papers, presented in two invited sessions at the 1985 IEEE( Book )

3 editions published in 1986 in English and held by 13 WorldCat member libraries worldwide

Economics of hydrogen production and liquefaction updated to 1980 by C. R Baker( Book )

3 editions published in 1979 in English and held by 3 WorldCat member libraries worldwide

Lease financing, a practical guide by C. Richard Baker( Book )

1 edition published in 1981 in Undetermined and held by 2 WorldCat member libraries worldwide

Gives the details on legal implications, sale-lease-backs in real estate, accounting, and project finance
Some Relations between Signal Detection and the Capacity of Communication Channels( Book )

1 edition published in 1988 in English and held by 1 WorldCat member library worldwide

The theme of the ComCon conferences is the unification of communications and control. Thus, methods and results that are common to the two areas are of central interest. This paper contains a discussion of a topic that is in this general spirit: relations that exist between signal detection and information theory and/or signal detection. They have bee developed in recent years as a result of specific needs: They have been developed in recent years as a result of specific needs: they are essential in obtaining solutions to channel capacity problems when the noise sample paths comprise an infinite-dimensional linear manifold. Channel capacity is one of the most basic problems of information theory. In many setups, such as that of the DMC (discrete memoryless channel), the basic mathematical structure is so simple that measure-theoretic questions do not arise. the situation changes radically when one considers more complicated channels, such as the continuous-time Gaussian channel with memory
Information Capacity of the Matched Gaussian Channel with Jamming. I. Finite-Dimensional Channel( Book )

1 edition published in 1989 in English and held by 1 WorldCat member library worldwide

Information capacity is considered for the finite-dimensional additive Gaussian channel subject to jamming. The problem is modeled as a zero-sum two-person game with mutual information as payoff function. The jammer does not control the ambient Gaussian noise, which is not assumed negligible. The unique saddle point and saddle value are determined, along the jammer's minimax strategy. Keywords: Information capacity; Additive Gaussian channel; Mutual information; Minimax strategy. (JHD)
Algorithms for Optimum Detection of Signals in Gaussian Noise( )

1 edition published in 1991 in English and held by 1 WorldCat member library worldwide

Algorithms are presented for detection of signals in Gaussian noise. The signals can be Gaussian or nonGaussian. The algorithms are derived from a general solution to the continuous-time problem, and are approximations to the continuous-time likelihood ratio. They do not require knowledge of the probability distributions for the signal-plus-noise process, but instead require knowledge (or estimation) of a function. Independent sampling is not assumed. One algorithm is fully adaptive to the signal-plus-noise process. The algorithms have the potential of providing significant performance improvements, as compared to classical detection methods, when the signal-plus-noise process is broadband (stationary or nonstationary), and particularly when it is nonGaussian
A Computational Evaluation of New Detection Algorithms( )

1 edition published in 1990 in English and held by 1 WorldCat member library worldwide

This paper summarizes results of a computational study of two new signal detection algorithms. The new algorithms have the potential for significantly improving existing detection methods when the signal-plus-noise process is broadband (stationary or nonstationary), especially when it is nonGaussian. They require no assumptions on the statistical properties of the signal-plus-noise process; instead, they require that the drift function of a diffusion be known or estimated. When this function is known, the new discrete- time, algorithms are approximations to the likelihood ratio for the continuous- time data under some reasonable assumptions on the data characteristics. These assumptions include that of Gaussian noise, although the computational results indicate that good performance can be obtained when the noise is not Gaussian. The study included comparisons with several reference algorithms, using both simulated and passive sonar data. The new methods gave superior performance despite the use of a very rudimentary procedure for estimating the drift function. NonGaussian signal detection, Likelihood ratios, Passive sonar, Sonar signal processing
Spectral Multiplicity for Second-Order Stochastic Processes( )

1 edition published in 1991 in English and held by 1 WorldCat member library worldwide

The theory of spectral multiplicity for second-order stochastic processes is developed from first principles. Each of the representations originally obtained by Cramer and by Hida is developed. The Hellinger-Hahn theorem on multiplicity in Hilbert space is obtained as a corollary, instead of being used to provide the representations
Neutral density models for aerospace applications by F. A Marcos( Book )

1 edition published in 1994 in English and held by 1 WorldCat member library worldwide

Information Capacity of Dimension-Limited Channels( Book )

1 edition published in 1989 in English and held by 1 WorldCat member library worldwide

Average information capacity is determined for a class of communication channels containing additive noise. Gaussian noise processes and a large class of nonGaussian processes are included. The constraint on the transmitted signals is given in terms of an increasing family of finite- dimensional subspaces. The results apply to the classical discrete-time channel and to continuous-time channels with fixed signal duration. Keywords: Coding; Linear operators. (KR)
Likelihood-Ratio Detection of Stochastic Signals( )

1 edition published in 1989 in English and held by 1 WorldCat member library worldwide

Algorithms are given for the detection of a general stochastic signal imbedded in Gaussian or nonGaussian spherically-invariant noise. A summary is given of the theoretical development leading to the algorithms, along with the approximations leading to the algorithms. Adaptive and nonadaptive algorithms are described, along with specific procedures for their implementation
Capacity of the Stationary Gaussian Channel( Book )

1 edition published in 1988 in English and held by 1 WorldCat member library worldwide

Information capacity of the stationary Gaussian channel is determined under the assumption that both the channel noise and the constraint are defined by rational spectral densities. The results complement a well-known result to Holsinger and Gallager. The new results given here show that (1) Attention can be restricted to wide sense stationary signals; (2) The new results for the value of the capacity are complementary (under the assumptions used here) to the result of Holsinger and Gallager; together, these results exhaust all possible values of the capacity; (3) The constraints permitted in obtaining Theorem 3 enable the signal process to use more of the available noise bandwidth than signal processes obeying the constraints of the Holsinger-Gallager model; if there is freedom to choose the constraint, then the capacity can be increased by using a constraint as in Theorem 3. Information theory
Information Capacity of the Stationary Gaussian Channel( Book )

1 edition published in 1989 in English and held by 1 WorldCat member library worldwide

The information capacity of the mismatched stationary continuous-time Gaussian channel is determined. The assumptions placed on the signal process are less restrictive than those given in previous treatments. Moreover, the assumptions used may have operational advantages over those used previously. (jhd)
Analysis, Modeling, and Signal Detection for a Set of Passive Sonar Data( )

1 edition published in 1992 in English and held by 1 WorldCat member library worldwide

A computational evaluation of a set of single-hydrophone passive sonar data is summarized. Included are results on signal detection, statistical characterization (especially normality vs. non-normality), and fits to a mixture-of-normals distribution
Absolute Continuity and Mutual Information for Gaussian Mixtures( Book )

1 edition published in 1988 in English and held by 1 WorldCat member library worldwide

Absolute continuity, process representations, and the Shannon information are considered for problems involving a Gaussian mixture process (N sub t), t in (0,1). N(omega, t)=A(omega)G(omega, t) a.e. dP(omega)dt, where (G sub t) is a Gaussian process and A is a positive random variable independent of (G sub t). Let (Y sub t), t in 0,1, be a second process with nu sub Y and nu sub N the measures induced on R0,1 and mu sub Y and mu sub N the measures induced on L20,1 (Y sub t) has paths a.s. in L20.1. The Cramer-Hida spectral representation and an extension of Girsanov's theorem are used to obtain results on absolute continuity (nu sub Y <<nu sub N and mu sub Y <<mu sub N) and likelihood ratio in terms of similar results involving a Gaussian mixture local martingale, for which representations are given. These results are then applied to obtain the Shannon mutual information for a communication channel with feedback having (N sub t) as additive noise. Capacity is obtained for the no-feedback channel, subject to an average-energy type of constraint. (jhd)
On the Equivalence of Probability Measures( Book )

1 edition published in 1981 in English and held by 1 WorldCat member library worldwide

Signal detection problems are discussed for the case when the noise is Gaussian, but signal-plus-noise can be non-Gaussian. A likelihood ratio is given. (Author)
Capacity of Generalized Mismatched Gaussian Channels( Book )

1 edition published in 1984 in English and held by 1 WorldCat member library worldwide

Information capacity is determined for a Gaussian communication channel when the constraint is given in terms of a covariance which is different from that of the channel noise
Capacity of Mismatched Gaussian Channels( Book )

1 edition published in 1983 in English and held by 1 WorldCat member library worldwide

The capacity of the Gaussian channel without feedback, subject to a generalized energy constraint, is determined in an earlier document, In that work, the constraint is given in terms of the covariance of the channel noise process. However, these are many situation where one may wish to determine capacity subject to a constraint determined by a covariance that is different form that of the channel noise. An example is in jamming or countermeasures situations. Channels where the covariance of the noise is the same as that of the constraint will be called matched channels; otherwise, we say that the channel is mismatched (to the constraint). In this paper, the capacity of the mismatched Gaussian channel is determined for two situations; the finite-dimensional channel, and the infinite-dimensional channel with a dimensionality constraint on the space of transmitted signals. Results on the infinite-dimensional mismatched channel without a dimensionality constraint on the signal are given elsewhere. Various special cases of the mismatched channel have been treated previously. The results for the mismatched channel differ significantly from those for the matched channel. A discussion of these differences follows the proof of the main result
 
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Stochastic processes in underwater acoustics Stochastic processes in underwater acoustics : collection of research papers, presented in two invited sessions at the 1985 IEEE
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Stochastic processes in underwater acoustics : collection of research papers, presented in two invited sessions at the 1985 IEEE
Alternative Names
Baker, Charles R.

Baker, Charles R. 1932-

Languages
English (38)

German (1)