Frequency hopping systems have traditionally been applied in low-data rate applications where the received signal can be considered narrow-band. The multipath delays encountered in a wireless channel has considerably less a ect on a narrow-band signal. In such cases, delay estimation is not of much signi cance. However, delay estimation becomes increasingly important when the bandwidth of the s...

In this paper, a low order recursive linear prediction method and recursive least square as an adaptive filter (LP-RLS) are introduced to predict the speech and the excitation signals. In real-time packet-based communication systems, one major problem is misrouted or delayed packets which results in degraded perceived voice quality. If packets are not available on time, the packet is known as l...

Inverse Synthetic Aperture Radar (ISAR) is used to produce high resolution imagery of non-cooperative targets by retrieving the relative motion parameters of a target with respect to a reference. This concept of estimating motion parameters is applied for obtaining cross-range resolution in ISAR imaging in which one component is produced by the relative motion between the radar and the target a...

parameter identification techniques are particularly attractive to determine the inertial parameters of robot manipulators and manipulated payloads. these parameters are particularly needed in implementation of a model-based controller for robot manipulators. in this paper, the inertial parameters of a manipulated rigid-body object have been estimated. the newton-euler equations will be employe...

In this paper, we study the mean square convergence of the kernel least mean square (KLMS). The fundamental energy conservation relation has been established in feature space. Starting from the energy conservation relation, we carry out the mean square convergence analysis and obtain several important theoretical results, including an upper bound on step size that guarantees the mean square con...

In this paper, a novel noise-constrained least-squares (NCLS) method for online autoregressive (AR) parameter estimation is developed under blind Gaussian noise environments, and a discrete-time learning algorithm with a fixed step length is proposed. It is shown that the proposed learning algorithm converges globally to an AR optimal estimate. Compared with conventional second-order and high-o...

in recent years, wavelet packet modulation ofdm (wpm-ofdm) signals have been introduced for radar applications. these signals have important properties such as inherent high range resolution and high resistance of radar system against jamming reception. this paper investigates the problem of designing these family of signals according to the following criteria: constrained maximization of the d...