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- Mordechai Mushkin, Israel Bar-David
- IEEE Trans. Information Theory
- 1989

- Shlomo Shamai, Israel Bar-David
- IEEE Trans. Information Theory
- 1995

Abstruct-The capacity C(p,, p p ) of the discrete-time quadrature additive Gaussian channel (QAGC) with inputs subjected to (normalized) average and peak power constraints, pa and pp respectively, is considered. By generalizing Smith’s results for the scalar average and peak-power-constrained Gaussian channel, it is shown that the capacity achieving… (More)

Recent developments of automated methods for monitoring animal movement, e.g., global positioning systems (GPS) technology, yield high-resolution spatiotemporal data. To gain insights into the processes creating movement patterns, we present two new techniques for extracting information from these data on repeated visits to a particular site or patch… (More)

- Israel Bar-David
- IEEE Trans. Information Theory
- 1969

- Shlomo Shamai, Israel Bar-David
- IEEE Trans. Information Theory
- 1989

- Israel Bar-David, Gideon Kaplan
- IEEE Trans. Information Theory
- 1984

- Israel Bar-David, Eli Plotnik, Raphael Rom
- IEEE Trans. Information Theory
- 1993

Consider M − HChoose P − T communications: T users or less, out of M potential users, are chosen at random to simultaneously transmit binary data over a common channel. A method for constructing codes that achieve error-free M − HChoose P − T communication over the noiseless Adder Channel (AC), at a nominal rate of 1/ T bits per channel symbol per active… (More)

- Israel Bar-David
- Information and Control
- 1974

The following sampling theorem is proved: Let f ( t ) be a bounded bandlimited function, possibly a sample of a nonstationary stochastic process, such that I f(t)l ~ B. Denote by w0 the appropriately defined bandwidth of f( t) . Let {tk} denote the set of instants for which f ( t ) = C cos 2~rwt, with C ~ B and w > w0. Then f(0) and {t,} determine uniquely… (More)

- Israel Bar-David
- IEEE Trans. Information Theory
- 1975

- Israel Bar-David
- IEEE Trans. Information Theory
- 1975