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Augmented Reality (AR) audio applications require headphones to be acoustically transparent so that real sounds can pass through unaltered for natural fusion with virtual sounds. In this paper, we consider a multiple source scenario for hear through (HT) equalization (EQ) using closed-back circumaural headsets. AR headset prototype (described in our previous study) is used to capture real sounds from external microphones and compute the directional HT filters using adaptive filtering.


We define micro hand gesture recognition system as which uses micro dynamic hand gestures within a time interval for classification and recognition to achieve human-machine interaction. Our Project Hug (Hand-Ultrasonic-Gesture), with ultrasonic active sensing, pulsed radar signal processing, and time-sequence pattern recognition is presented in this paper for micro hand gesture recognition. We leverage one single channel to detect both range and velocity precisely, reducing the hardware complexity.


Current solutions for below the elbow amputees include affordable prosthesis allowing only a single movement or highly expensive prosthesis allowing several gestures. In this project, our goal was to design a system that provides an inexpensive, multi-functional solution for the hand prosthesis problem. We construct a real-time, portable system based on the Myo armband and a 3D printed prosthesis and show that this framework can provide a good and inexpensive solution for below the elbow amputees of all ages.


Alternate direction method of multipliers (ADMM) technique has re- cently been proposed for LDPC decoding. Even though it improves the error rate performance compared with traditional message pass- ing (MP) techniques, it shows a higher computation complexity. In this article, the ADMM decoding algorithm is first described. Then, its computation complexity is analyzed. Finally, an optimized ver- sion which benefits from the multi-core processors architecture as well as the ADMM algorithm’s parallelism is presented.


Runtime-reconfigurable, mixed-radix FFT/IFFT engines are essential for modern wireless communication systems. To comply with varying standards requirements, these engines are customized for each modem. The Chisel hardware construction language has been used in this work to create a generator of runtime-reconfigurable 2n3m5k(7l...) FFT engines targeting software-defined radios (SDR) for modern communications, but with flexibility to support a wide range of applications.


Polar coding is a new coding scheme that asymptotically achieves the capacity of several communication channels. Polar codes can be decoded with a successive cancellation (SC) decoder. In terms of hardware implementation, archi- tectural performance of SC decoders is limited by the memory complexity. In this paper, two complementary methods are proposed to reduce the memory footprint of current state-of- the-art SC decoders. These methods must also applicable to SC-List decoders.