1. Digital Image Processing
including pattern recognition, image deblurring, saliency detection, image segmentation, corner and edge detection, watermark and encryption
2. Image Compression
including entropy coding, still image and video compression, multimedia compression techniques
3. Time-Frequency Analysis
including Wigner distribution functions, Gabor transforms, short-time Fourier transforms, Hilbert-Huang transforms, compressive sensing
4. Artificial Intelligence and Machine Learning
including theories of machine learning and their applications in face detection, expression recognition, and object recognition
5. Fractional Fourier Transform and Linear Canonical Transform
In a word, the fractional Fourier transform is doing the Fourier transform x times where x can be non-integer. The fractional Fourier transform is a generalization of the Fourier transform. The linear canonical transform is a further generalization of the fractional Fourier transform. These are advanced digital signal processing techniques.
6. Music and Acoustics
including query by humming, denosing for vocal signals, voiceprint analysis
7. Wavelet Transform
8. Integer Transform
The goal is to develop the operations that needs no floating-point processor and are suitable for low-cost hardware implemetation
9. Bioinformatics
using the method of signal processing for DNA sequence comparison
10. Signal Analysis
including eigenfunctions and prolate spheroidal wave function, CDMA, number theory
11. Others
including ECG signal analysis, quaternion, non-linear and time-variant system analysis, digital filter design