KUAN-LIN CHEN



My primary research interests are in the fields of Machine Learning, Signal Processing, Audio and Speech Processing and Computer Vision. Currently, I am a graduate student researcher in the department of electrical and computer engineering at UC San Diego.


Freping Project
Frequency Warping by All-Pass Networks

We present a novel use of well-known all-pass filters in a newtowrk to perform frequency warping that we call "freping." Freping helps in breaking the Nyquist stability criterion and improves adaptive feedback cancellation. See our paper Freping.


AFC Project
Improved Feedback Cancellation

We propose a new adaptive feedback cancellation (AFC) system in hearing aids based on a well-posed optimization criterion that jointly considers both decorrelation of the signals and sparsity of the underlying channel. See our paper AFC.


GPtNSAF Project
Fast Convergence in Adaptive Filtering

We show that a new design criterion, i.e., the least squares on subband errors regularized by a weighted norm, can be used to generalize the subband adaptive filtering framework. See our paper GPtNSAF.


EZBud Project
A Brand New Music Experience

A product based on FPGA had been proposed to synchronize the beats of music with the body rhythm. The EZBud project's poster.


Heartrate Monitoring Project
Using PPG signal

A model named TSCM has been proposed to remove the periodical motion artifact in photoplethysmographic (PPG) signal.


Central Station Project
Realizes Remote Healthcare

Design in COMDEK Industrial Corporation. Based on the Redis database, real-time Node.js server on Debian Linux and client side module on MediaTek LinkIt 7688.