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Classical and Modern. Direction of Arrival. This unique blend of techniques in commercial use. DF systems and state-of-the-art super-resolution methods. Key topics covered are:
T. Engin Tuncer is a Professor in Electrical and Electronics Engineering. Department of Middle East Technical University, Turkey. His research is focused on the sensor and multichannel signal processing.
Ben Friedlander is an internationally known expert in communications and surveillance systems. He has extensive experience spanning over three decades in array and direction finding. In recent years, work on multiple antennas for wireless communications. Currently he is a professor of electrical engineering at the University of California at Santa Cruz.
Wireless Direction-Finding Fundamentals; Practical Aspects of Design and Application of Direction-Finding Systems; Calibration in Array Processing; Narrowband and Wideband DOA Estimation for Uniform and Nonuniform Linear Arrays; Search-Free DOA Estimation Algorithms for Nonuniform Sensor Arrays; Spatial Time-Frequency Distributions and DOA Estimation; DOA Estimation in the Small-Sample Threshold Region; High-Resolution DOA Estimation with Higher-Order Statistics; Source and Node Localization in Sensor Networks; Direct Position Determination: A Single-Step Emitter Localization Approach
Module with 8 Mpx camera with IMX219 sensor and lens with 75° viewing angle. Designed for Nvidia Jetson Nano and Raspberry Pi Compute Module. ArduCAM B0187
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A set with two IMX219 cameras with a resolution of 8 MP and an expansion module for the Raspberry Pi, which allows you to connect two cameras simultaneously. ArduCAM B0350
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2 MPx camera module with OG02B10 sensor that works with all versions of the Raspberry Pi. Equipped with a shutter, it is characterized by good sensitivity. Pivariety adapter included. ArduCAM B0348
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Camera module with IMX219 sensor with a resolution of 8 MP designed for NVIDIA Jetson Nano / Xavier and Raspberry Pi Compute Module. ArduCAM B0342
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2 MPx camera module with OV2311 sensor working with NVIDIA Jetson Nano. Equipped with a shutter and M9 lens mount. Acrylic case included. ArduCAM B0220
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The kit includes a module with two cameras with an IMX219 sensor with a resolution of 8 MP and an expansion module for NVIDIA Jetson Nano. ArduCAM B0217J8
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Camera module with IMX219 sensor with a resolution of 8 MP equipped with programmable focus, without IR filter. Designed for NVIDIA Jetson Nano and Raspberry Pi CM. ArduCAM B0189
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Camera with OV9282 sensor designed for DepthAI systems. Without IR filter. It is a replacement element for DepthAI OAK-D modules. ArduCAM B0299
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Two modules with infrared LED lighting for the ArduCAM Raspberry Pi NOIR 5MP OV5647 camera. Can be widely used in wildlife night vision photography, agriculture, etc. ArduCAM B0035LED
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Camera with a resolution of 3 MPx with a USB interface. Equipped with CMOS AR0331 sensor with a lens with a viewing angle of 70° and two microphones. ArduCAM UB0237
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Camera with a resolution of 2 MPx with a USB interface. Equipped with CMOS IMX291 sensor with 86° lens, microphone, housing and tripod. ArduCAM B0354
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Camera with a resolution of 5 MPx with a USB interface. Equipped with an OV5648 CMOS sensor with a wide angle lens with a 90° angle of view. ArduCAM UB0233
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Camera with a resolution of 8 MPx with a USB interface. Equipped with a CMOS IMX219 sensor with a lens with a viewing angle of 62° and a 30 cm extension cord. ArduCAM B0320
No product available!
Camera with a USB interface with a resolution of 16 MP. Equipped with a Sony CMOS IMX298 sensor and an M12 lens with a viewing angle of 70°. ArduCAM B0246
No product available!
Camera with a resolution of 2 MPx with a USB interface. Equipped with CMOS IMX291 sensor with an ultra-wide 160° lens, two microphones, housing and a tripod. ArduCAM UB020202
No product available!
Camera with a resolution of 2 MPx with a USB interface. Equipped with an OV2710 CMOS sensor with a movable IR filter and IR LED lighting. ArduCam B0205
No product available!