Results 161 to 170 of about 939 (214)

Local Linear Wavelet Neural Network-Based Unscented Kalman Filter for Vehicle Collision Estimate Warning System and Ensuring Stable Vehicle-to-Infrastructure Communication. [PDF]

Appl Bionics Biomech
Lema YK, Mishra S, Gelmecha DJ.
europepmc   +1 more source

An SDR-Based Real-Time Testbed for GNSS Adaptive Array Anti-Jamming Algorithms Accelerated by GPU. [PDF]

Sensors (Basel), 2016
Xu H, Cui X, Lu M.
europepmc   +1 more source

An Efficient Adaptive Angle-Doppler Compensation Approach for Non-Sidelooking Airborne Radar STAP. [PDF]

Sensors (Basel), 2015
Shen M, Yu J, Wu D, Zhu D.
europepmc   +1 more source

Diffusion models for robotic manipulation: a survey. [PDF]

Front Robot AI
Wolf R, Shi Y, Liu S, Rayyes R.
europepmc   +1 more source

Advanced computational approaches to understand protein aggregation. [PDF]

Biophys Rev (Melville)
Ghosh D, Biswas A, Radhakrishna M.
europepmc   +1 more source

Range dependent clutter rejection using range-recursive space-time adaptive processing (STAP) algorithms

Signal Processing, 2010
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Sophie Beau, Sylvie Marcos
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Analytical expressions for space-time adaptive processing (STAP) performance

IEEE Transactions on Aerospace and Electronic Systems, 2015
Space-time adaptive processing (STAP) is a family of algorithms frequently employed in surface moving target indication radar systems to enable detection of moving objects in the presence of fixed (i.e., nonmoving) clutter. In this paper, two new closed-form expressions that quantify the loss associated with the STAP notch centered on clutter are ...
openaire   +3 more sources