2010•IEEE Communications LettersRequires access

Finite Duration Root Nyquist Pulses with Maximum In-Band Fractional Energy

Gur Dayal Nigam, Rajesh Kumar Singh, Anoop Kumar Chaturvedi

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Abstract

We design root Nyquist pulses having maximum in-band fractional energy for a given finite bandwidth. The problem of maximizing the ratio of in-band energy to total energy has been dealt with earlier. But an exact solution could not be found since it involved optimization of a quadratic objective function with quadratic constraints. We have found an exact solution to this problem by taking a different approach. Numerical results are presented comparing the pulses so obtained with the raised cosine pulse and the better than raised-cosine (BTRC) pulse.

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We design root Nyquist pulses having maximum in-band fractional energy for a given finite bandwidth. The problem of maximizing the ratio of in-band energy to total energy has been dealt with earlier. But an exact solution could not be found since it involved optimization of a quadratic objective function with quadratic constraints. We have found an exact solution to this problem by taking a different approach. Numerical results are presented comparing the pulses so obtained with the raised cosine pulse and the better than raised-cosine (BTRC) pulse.

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Available abstract

We design root Nyquist pulses having maximum in-band fractional energy for a given finite bandwidth. The problem of maximizing the ratio of in-band energy to total energy has been dealt with earlier. But an exact solution could not be found since it involved optimization of a quadratic objective function with quadratic constraints. We have found an exact solution to this problem by taking a different approach. Numerical results are presented comparing the pulses so obtained with the raised cosine pulse and the better than raised-cosine (BTRC) pulse.

Key concepts: Nyquist–Shannon sampling theorem, Trigonometric functions, Mathematics, Bandwidth (computing), Energy (signal processing), Quadratic equation, Pulse (music), Function (biology)

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