adaptive signal processing

adaptive signal processing

[ə¦dap·tiv ¦sig·nəl ′prä·sə·siŋ]
(communications)
The design of adaptive systems for signal-processing applications.
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Next Generation PSI uses Masimo's breakthrough Parallel Engines and Adaptive Signal Processing technology and provides the following enhancements: Less susceptibility to electromyography (EMG) interference by extracting a clearer EEG signal even in the presence of EMG, Improved PSI performance in low power EEG cases
of Utah) presents a textbook for a graduate course of one or two semesters on adaptive filters within the larger field of adaptive signal processing.
Maxim Integrated Products Inc (Nasdaq:MXIM), a provider of compact and very low-power system-on-chip solutions, announced on Wednesday that it has made a strategic investment in Scintera Networks Inc, a provider of adaptive signal processing solutions for wireless communications.
In their connection, the Control Graph and the Model Interpreter play central roles, and they are also critical for the structurally adaptive signal processing applications as well.
This book fills a void in the realm of adaptive signal processing for radars and deserves serious consideration by engineers and students who venture out beyond the well-trodden path of radar design.
They address the foundations of statistical and adaptive signal processing, including signals and systems definitions and properties, basic concepts of discrete-time signal processing, fundamentals of probability theory, stochastic processes, and estimation theory; the theory of optimal and adaptive filtering in linear and supervised processing; single-input single-output channels and multichannels; and emerging tools such as machine learning-based solutions and bio-inspired methods.
This paper systematically reviews the state-of-the-art techniques of the adaptive signal processing methods for power quality conditioning applications using active noise control (ANC) method.
Adaptive signal processing in wireless communications.
The value of this function has long been known to engineers working in the adaptive signal processing field, where such an architecture is known as an adaptive linear combiner, adaptive finite impulse response (FIR) filter, or adaptive transversal filter.
Subband adaptive filtering is rapidly becoming one of the most effective techniques for reducing computational complexity and improving the convergence rate of algorithms in adaptive signal processing applications.
and Walach (director and senior researcher, R&D management, IBM Haifa Research Labs, Israel) borrow methods of adaptive signal processing from the field of digital signal processing and apply them to problems of dynamic systems control, showing how they can be used to control plant dynamics and to minimize the effects of plant disturbance with optimal least squares methods such that dynamic control and disturbance canceling can be optimized without interfering with each other.
Her current research interests are in the areas of robust, adaptive signal processing techniques and performance bounds for source location and tracking with applications in radar, sonar, aeroacoustics, and satellite communications.

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