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At the intersection of signal processing and information forensics, the Signal Processing Cup 2016 global competition has explored a time-varying location-dependent signature of power grids that can be intrinsically captured in media recordings. This signature is called the Electric Network Frequency (ENF) signals. Throughout the SP Cup 2016 competition, participants were provided with multiple training, practice, and testing datasets that consisted of recordings made in different grids and containing ENF traces.

Lecture notes on digital signal processing for undergraduate and first-year graduate students.

These teaching materials are based on lectures developed at Department of Electronic Engineering, City University of Hong Kong, Hong Kong SAR, China.

The corresponding MATLAB files can be downloaded at

http://www.ee.cityu.edu.hk/~hcso/MATLAB.zip (2679)

Analyzing the performance of estimators is a typical task in signal processing. Two fundamental performance measures in the aspect of accuracy are bias and mean square error (MSE). In this presentation, we revisit a simple technique to produce the bias and MSE of an estimator that minimizes or maximizes an unconstrained differentiable cost function over a continuous space of the parameter vector under the small error conditions. This presentation is a companion work of: H. C. So, Y. T. Chan, K. C. Ho and Y.

IEEE Signal Processing Society - State of the Society, at ICASSP 2015.  To access all previous years' speech:  http://www.signalprocessingsociety.org/about-sps/state-of-the-society/ To access the "what's signal processing" video: https://youtu.be/EErkgr1MWw0

Review of DSP as a prelude to a graduate-level Advanced DSP course.