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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Pillai was elevated to Fellow in recognition of his contributions to adaptive signal processing and radar systems-areas of importance in both military and civilian arenas.
Adaptive signal processing in wireless communications.
This groundbreaking architecture combines proprietary adaptive signal processing techniques and advanced mixed-signal circuit design to increase performance on structured copper cabling.
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.
This groundbreaking architecture combines proprietary adaptive signal processing techniques with advanced mixed-signal circuit design to increase performance on 10 Gbps copper cable interconnects.
These unique generators can be used in the deployment of adaptive signal processing filter algorithms commonly found in wireless solutions such as smart antenna beamforming applications and MIMO-OFDM wireless LAN design.
These unique new generators can be used in the deployment of adaptive signal processing filter algorithms commonly found in wireless solutions such as smart antenna beamforming applications and MIMO-OFDM wireless LAN design.
He has developed techniques and algorithms for signature prediction and optimization, massively parallel computation, material characterization and signature reduction, as well as for antenna design and adaptive signal processing.
His previous research addressed modulation, coding and adaptive signal processing for digital communication over radio channels.
The Floating-Point Operator core delivers exceptionally high Floating-Point arithmetic performance through parallelism, enabling a finer weight calculation in advance adaptive signal processing system, e.

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