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Signal Processing

来源：NTU

OVERVIEW

This programme is designed for practicing engineers, hardware and software designers, R & D managers, and industry planners who seek an understanding of current approaches and evolving directions for DSP technologies. It is also intended for engineers who anticipate future involvement in this area.

PROGRAMME STRUCTURE

The requirements for the degree include satisfactory completion of four core and four electives as well as a project. The project (which may be undertaken either in NTU or in industry) is examined by dissertation.

All classes are conducted during evenings. The examinations will require attendance during office-hours. Part-time candidates are expected to obtain their employer's permission for this before admission to the programme.

The minimum and maximum candidature periods of a full-time candidate is one year and three years respectively. The minimum and maximum candidature periods of a part-time candidate is two years and four years respectively.

SUBJECTS OF STUDY

1) Core Subjects

EE6401 Advanced Digital Signal Processing
EE6402 Real-time DSP Design & Applications
EE6403 Distributed Multimedia Systems
EE6404 VLSI Digital Signal Processors

2) Electives (select any 4 subjects)

EE6421 Statistical Signal Processing
EE6422 Adaptive Signal Processing
EE6423 Array Signal Processing
EE6424 Digital Audio Signal Processing
EE6425 Speech Analysis & Processing
EE6426 Image Processing & Pattern Recognition
EE6427 Video Signal Processing
EE6429 Probability and Random Processes

Note: Curriculum is subject to changes.

CONTENT OF SUBJECTS

EE6401
Advanced Digital Signal Processing
Probability and random processes. Multi-rate digital signal processing. Linear prediction and optimum linear filters. Power spectrum estimation.

EE6402
Real-time DSP Design & Applications
Architectures for general-purpose digital signal processors. Peripherals for DSP applications. Development tools for DSP applications. Digital FIR/IIR filter implementations. Fast Fourier transform implementations.

EE6403
Distributed Multimedia Systems
Media and media systems. Multimedia storage. Media processing and applications. Media transmission and delivery. Quality of service on distributed multimedia systems. Multimedia applications.

EE6404
VLSI Digital Signal Processors
Digital signal processors. Classification of architectures. Data and instruction memories. VLSI special instruction-set single chip (SISC) processors. Data path logic design. Rapid prototyping. Code generation for embedded processors. Digital signal multiprocessors. Formal methods for scheduling, assignment and allocation.

EE6421
Statistical Signal Processing
Review of random processes. Fundamentals of detection theory. Signal detection in noise. Signal estimation theory. Properties of estimators. Application of signal detection and estimation.

EE6422
Adaptive Signal Processing
Fundamentals of adaptive signal processing. Gradient-based adaptive FIR and IIR filters. Method of least squares estimation. Recursive least squares. Lattice filters. Nonlinear adaptive filtering. Applications.

EE6423
Array Signal Processing
Sensor-array fundamentals, Array beamforming. Basic direction finding and geolocation. Advanced direction finding and geolocation. Target tracking. Array geometry optimisation and calibration. Smart antennas and software radio in wireless communications.

EE6424
Digital Audio Signal Processing
Psychology of hearing. Audio test and measurements. Microphones and loudspeakers. Principles of digital audio. Audio processing and synthesis. Digital audio compression. Digital audio broadcasting.

EE6425
Speech Analysis & Processing
Fundamentals of speech. Speech enhancement. Dynamic time warping. Hidden Markov models (HMM). Speech recognition and speaker verification systems. Scalar and vector quantization. Linear predictive coding. Transform coding.

EE6426
Image Processing & Pattern Recognition
Image fundamentals. Image enhancement. Image restoration. Feature selection and extraction. Classification methods. Connectionist approach.

EE6427
Video Signal Processing
Video basics. Video signal sampling and rate conversion. Video signal filtering and enhancement. Video coding principles and standards. Emerging video communication systems.

EE6429
Probability and Random Processes
Probability concepts. Random variables. Multiple random variables. Sum of random variables and the Central Limit Theorem. Gaussian and related distributions. Probability density function estimation. Random variable simulation. Random processes. Correlation functions. Spectral Density. Random processes in linear systems. Optimum linear systems. Nonlinear systems.

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