Sentence examples for maximum sidelobe decay from inspiring English sources

Specifically, an analytical expression for the variance of the Interpolated DTFT (IpDTFT) frequency estimator due to additive wide-band noise is derived in the case when the acquired sine-wave samples are weighted by a Maximum Sidelobe Decay (MSD) window.

The estimation of the amplitude and the phase parameters of a noisy real-valued sine-wave by means of the two-point Interpolated Discrete-Time Fourier Transform (IpDTFT) algorithms based on the Maximum Sidelobe Decay (MSD) windows is analysed in this paper.

The paper investigates the effect of the spectral interference from the image component and additive wideband noise on the accuracy of the normalized frequency estimator provided by the average-based IpDFT method with maximum sidelobe decay windows in the case of a discrete-time sine-wave.

If the maximum sidelobe decay windows are selected, α can be obtained from (10).

In (10), H denotes the number of terms in the maximum sidelobe decay window.

Specifically, simple analytical solutions can be obtained when the maximum sidelobe decay windows (MSDW, also known as Rife Vincent class I windows) are adopted [11].

New judgment techniques are introduced such as apodization window roll-off rate, asymptotic sidelobe decay level, number of sidelobes, and average sidelobe level.

Simulation results show that the maximum sidelobe level obtained by EBBO can be suppressed effectively compared with other algorithms.

The beamwidth and the maximum sidelobe level are used to quantify the spatial variation of the beampattern through a new criterion.

In this work a procedure namely Findpeaks2 is proposed to detect the maximum sidelobe level (SLL) from the samples of three dimensional radiation pattern.

In this paper the optimal design for maximum sidelobe level (SLL) reduction of three-ring Concentric Circular Antenna Array (CCAA) is determined using a novel Particle Swarm Optimization (PSO) technique namely Improved Particle Swarm Optimization (IPSO) algorithm.