Circuits Systems and Signal Processing

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A Novel Simple 4-D Hyperchaotic System with a Saddle-Point Index-2 Equilibrium Point and Multistability: Design and FPGA-Based Applications

This paper presents a novel simple 4-D dissipative autonomous hyperchaotic system with a saddle-point index-2 equilibrium point. The dynamics of the new system consists of nine terms with two nonlinear terms. Thus, the proposed system is one of the simplest 4-D hyperchaotic systems. The new system also shows multistability behavior for some range of its parameters. Bifurcation diagrams, Lyapunov spectrum, Kaplan–Yorke dimension, and phase plots are used to analyze the complex dynamical behavior ...

This paper develops a bias correction-based recursive estimation algorithm for dual-rate output-error systems. The system output is subjected to both output noise and sampling noise. Using the polynomial transformation technique, the dual-rate output-error system is converted into an identification model where the sampled data can be directly applied. The noise variances of output noise and sampling noise are estimated by solving a nonlinear equation, which can minimize the estimation errors of ...

On Active Impulsive Noise Control (AINC) Systems: Developing a Filtered-Reference Adaptive Algorithm Using a Convex-Combined Normalized Step-Size Approach

This paper develops an efficient adaptive filtering algorithm for active impulsive noise control (AINC) systems. For AINC systems, the filtered-x least mean square (FxLMS) algorithm fails to converge due to the impulsive nature of the noise source. In previous work, the step-size of the FxLMS algorithm was normalized using the power estimate of the error as well as the reference signals, resulting in the improved normalized step-size FxLMS (INSS-FxLMS) algorithm. The INSS-FxLMS algorithm exhibit...

The quaternion linear canonical transform (QLCT), as a generalized form of the quaternion Fourier transform, is a powerful analyzing tool in image and signal processing. In this paper, we propose three different forms of uncertainty principles for the two-sided QLCT, which include Hardy’s uncertainty principle, Beurling’s uncertainty principle and Donoho–Stark’s uncertainty principle. These consequences actually describe the quantitative relationships of the quaternion-valued signal in arbitrary...

Design of Low-Complex Linear-Phase Non-uniform Filter Bank to Realize Wavelet Approximation of Bark Frequency Partitioning for Real-Time Applications

This paper proposes the realization of perceptual wavelet approximation of Bark scale using a linear-phase integer decimated non-uniform filter bank (IDNUFB), designed by merging the channels of a partially cosine-modulated uniform filter bank. In effect, the channels with different sampling factors of the IDNUFB can be derived from the same prototype filter using the proposed method of design. Also, the proposed IDNUFB is employed for the realization of Bark frequency partitioning. The proposed...

In this paper, we develop a robust algorithm for improving the accuracy of direction-of-arrival estimation under non-Gaussian noise and insufficient sample support. (The number of sensors is large, while the number of samples is relatively small.) Unlike the traditional peak-search techniques, our approach is based on an enhanced covariance matrix estimation, where we exploit the thoughts of the M-estimator and the shrinkage estimator, but devise a new target matrix equation and iterative soluti...

This paper is concerned with the identification of turntable servo system through the usage of a reframed multi-innovation least-squares scheme. A Wiener–Hammerstein model is employed in this paper to depict the dynamic characteristics of the turntable system. In the test bed, the stabilized platform can be considered as a linear dynamic subsystem. The motor is also a linear dynamic subsystem. And the major nonlinearity characteristic between motor and platform is captured by a continuously diff...

Communication-Reducing Algorithm of Distributed Least Mean Square Algorithm with Neighbor-Partial Diffusion

With the development of distributed algorithms, many researchers are committed to the goal of maintaining the long-term stability of the network by reducing the communication cost. However, many algorithms that lessen communication costs often result in a significant decrease in estimation accuracy. In order to reduce the communication cost with less performance degradation, the distributed neighbor-partial diffusion least-mean-square algorithm (NPDLMS) is proposed in this paper. Besides, consid...

Zero frequency filtering (ZFF) is a well-explored technique for detecting glottal closure instants (GCIs) from the speech signal. The features extracted from the ZFF of the speech signal have also been used for many speech-based applications. Zero frequency resonators used in the infinite impulse response (IIR) realization of ZFF are unstable filters. Consequently, the filter output grows or decays in an unbounded manner. In the finite impulse response (FIR) realization of ZFF, the filter instab...

This paper presents a method for multi-speaker voiced/unvoiced decision in the case of monaural speech. This approach is based on the multi-scale product (MP) analysis of a composite signal. It consists in calculating the distances between the maxima and the minima of our proposed MP analysis technique. Then, we analyze these distances in order to make the voicing decision for both speech signals forming the mixture. Experiments are performed using Cooke and Keele databases and some mixtures fro...

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