DSP Algorithm Development: Design, prototype, and refine advanced signal processing algorithms for FMCW LiDAR, including 2D-FFT, range-Doppler decoupling, peak extraction, phase unwrapping, and dynamic noise thresholding.
Impairment Compensation & Calibration: Develop digital algorithms to mitigate hardware non-idealities, such as laser chirp non-linearity, phase noise, I/Q imbalance, and thermal drift.
Detection & Point Cloud Extraction: Optimize detection algorithms (e.g., CFAR variants) for low-SNR environments, maximize point cloud density, and suppress ambient clutter and optical crosstalk.
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Participate in research of advanced image/video processing algorithms using for autonomous driving, machine vision, and professional photography products.
Research in image/video signal processing algorithms like noise removal, image enhancement, signal processing for digital cameras.
Perform research into leading edge and emerging video technologies, ideas, approaches and keep up to date with new video processing standards and general industry trends
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Participate in and manage the research project with Principal Investigator (PI) Ian McLoughlin, Co-PI Tong Rong and the research team members to ensure all project deliverables are met.
Undertake research within your domain, including keeping track of state-of-the-art work. Develop the code, evaluate and test. Write academic publications.
Lead the design, development, and maintenance of the HAL interfaces for peripherals assigned to the HiFi5 DSP. These will likely include peripherals such as timers, PDM interfaces, I2S interfaces, and low-power analog microphone interfaces.
Evaluate possible RTOS or lightweight schedulers and port these to our SDKs.
Design and develop boot state machines and IPC/RPC messaging protocols.
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