Results 211 to 220 of about 297,567 (266)
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Orthogonal transforms for digital signal processing
ICASSP '76. IEEE International Conference on Acoustics, Speech, and Signal Processing, 1975A tutorial-review paper on discrete orthogonal transforms and their applications in digital signal and image (both monochrome and color) processing is presented. Various transforms such as discrete Fourier, discrete cosine, Walsh-Hadamard, slant, Haar, discrete linear basis, Hadamard-Haar, rapid, lower triangular, generalized Haar, slant Haar and ...
Kamisetty Ramamohan Rao +1 more
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European Transactions on Telecommunications, 2000
Thomas J. Cavicchi, Umberto Spagnolini
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Thomas J. Cavicchi, Umberto Spagnolini
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2002
From the Publisher: Digital signal processing lies at the heart of the communications revolution and is an essential element of key technologies such as mobile phones and the Internet. This book covers all the major topics in digital signal processing (DSP) design and analysis, supported by MATLAB examples and other modeling techniques.
Paulo S. R. Diniz +2 more
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From the Publisher: Digital signal processing lies at the heart of the communications revolution and is an essential element of key technologies such as mobile phones and the Internet. This book covers all the major topics in digital signal processing (DSP) design and analysis, supported by MATLAB examples and other modeling techniques.
Paulo S. R. Diniz +2 more
openaire +1 more source
A Digital Integrator for On-Line Signal Processing
IEEE Transactions on Electronic Computers, 1963A concept for approximate digital integration is presented. The integrator is equivalent to the RC-integrator (but has no drift) and has an arbitrary long time constant. An example is given showing application to polarity coincidence correlation detection of signals in noise.
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Digital signal processing: An eclectic journal for the digital signal processing community
Digital Signal Processing, 1991John E. Hershey, Rao K. Yarlagadda
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Sensor Review, 1997
Reviews the underlying principles of digital signal processing (DSP) with little recourse to mathematics. Aims to encourage experimentation to obtain a feel for the processes involved. DSP provides a powerful numeric means of extracting useful information from sensor data applied to a system.
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Reviews the underlying principles of digital signal processing (DSP) with little recourse to mathematics. Aims to encourage experimentation to obtain a feel for the processes involved. DSP provides a powerful numeric means of extracting useful information from sensor data applied to a system.
openaire +1 more source
Digital Signal Processing memories
Digital Signal Processing, 2021Jim Schroeder 0001 +3 more
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Digital signal processing first
IEEE Signal Processing Magazine, 1999Yoder, Mark, McClellan, J., Schafer, R.
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Multidimensional digital signal processing
IEEE Transactions on Acoustics, Speech, and Signal Processing, 1985openaire +3 more sources