In this paper an adaptation technique using both genetic algorithm (GA) and least mean square algorithm (LMS) is proposed. The key control parameters tap-length and tap-weight are updated using the GA and the LMS algorithm respectively according to the value of mean square error (MSE). The proposed algorithm results optimal solutions very fast by reducing initialization and derivative problems....

Nighttime light data offer a unique view of the Earth’s surface and can be used to estimate the spatial distribution of gross domestic product (GDP). Historically, using a simple regression function, the Defense Meteorological Satellite Program’s Operational Linescan System (DMSP/OLS) has been used to correlate regional and global GDP values. In early 2013, the first global Suomi National Polar...

This paper describes an evolutionary method for identifying a causal model from the observed time-series data. We use a system of ordinary differential equations (ODEs) as the causal model. This approach is known to be useful for practical applications, e.g., bioinformatics, chemical reaction models, control theory, etc. To explore the search space more effectively in the course of evolution, t...

A flight test is described in which an active structural/acoustic control system reduces turboprop induced interior noise on a Raytheon Aircraft Company 1900D airliner. Control inputs to 21 inertial force actuators were computed adaptively using a transform domain version of the multichannel filtered-X LMS algorithm to minimize the mean square response of 32 microphones. A combinatorial search ...

This paper proposes an adaptive algorithm for channel equalization in the Wavelet Packet Transform (WPT) domain. Adaptation to time-varying channels is achieved by the use of the orthogonal tree-structured time-varying filter bank associated to the WPT. The filter bank structure, that is, the type of decomposition, is obtained, for a fixed number of bands, as the one that leads to a quasi optim...

The proportionate normalized least mean square (PNLMS) algorithm and its variants are by far the most popular adaptive filters that are used to identify sparse systems. The convergence speed of the PNLMS algorithm, though very high initially, however, slows down at a later stage, even becoming worse than sparsity agnostic adaptive filters like the NLMS. In this paper, we address this problem by...

We study the performance and capacity of a quasi-synchronous code division multiple access (QS-CDMA) cellular system employing the decorrelating detector. It is assumed that each of N users has a GPS generated local clock, and attempts to transmit in synchrony with the other users in its cell. The detector makes use of the small timing uncertainties to build the interference signal space and pe...

The aim of this work is to adapt the Hierarchical LMS algorithm to an Active Noise Control System and to compare its performance with the FxLMS algorithm. Taking into account that the slightest change in the DSP code or in the electro-acoustical arrangement implies lots of experiments in the laboratory that can finish unsuccessfully, we have developed in MATLAB a simulated model of the system i...

In this paper a hearing aid concept with recruitment of loudness compensation and acoustic feedback cancellation is presented. Special consideration is given to the acoustic feedback canceler which uses only the available (e.g. speech) input signal for adaptation. In principle, the feedback canceler is adapted to the feedback path in the transform domain using a power-normalized least mean squa...

— Future services demand high data rate and quality. Thus, it is necessary to define new and robust algorithms to equalize channels and reduce noise in communications. Nowadays, new equalization algorithms are being developed to optimize the channel bandwidth and reduce noise, namely, Blind Channel Equalization. Conventional equalizations minimizing mean-square error generally require a trainin...