Digital Signal Processing Fundamentals and Applications

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					                                                                   Signal Processing


PROGRAMME OBJECTIVES                                  an alternative to replace a dissertation project by
                                                      taking one additional elective course plus one
This programme is designed for hardware and           smaller-scale project, called Independent Study
software designers, R&D managers, practicing          Module (ISM), which is to be completed in one
engineers, and industry planners who seek an          semester.
understanding of current approaches and
evolving directions for DSP technologies. It is       PROGRAMME DURATION
also intended for engineers who anticipate future
                                                      The programme is run during evenings. The
involvement in this area.
                                                      examinations require attendance during office-
                                                      hours. Part-Time candidates are expected to
ADMISSION REQUIREMENTS                                obtain their employer’s permission for this before
For those with a good bachelor’s degree in            admission to the programme. The coursework
electrical/ electronic/computer engineering or        and project may normally be completed in one
equivalent degree in other relevant disciplines as    year for full-time students or two years for part-
the Board of Graduate Studies may approve.            time students, respectively.

                                                        Semester 1 (Aug-Dec); Semester 2 (Jan-May)
PROGRAMME STRUCTURE
                                                        Weeks 1-14*             Lectures
 FIRST YEAR - CORE (Compulsory)
                                                       Weeks 16-17              Examinations
 Semester 1
                                                       Others                   Vacations
 Advanced Digital Signal Processing
                                                       * One week recess
  Real-Time DSP Design and Applications
  Semester 2                                          COURSE CONTENTS
  Distributed Multimedia Systems                      Advanced Digital Signal Processing:
                                                      Probability and random processes. Multi-rate
  VLSI Digital Signal Processors
                                                      digital signal processing. Linear prediction and
SECOND YEAR - ELECTIVE (Choose 4 only)                optimum linear filters. Power spectrum estimation.

 Semester 1                                           Real-Time DSP Design and Applications:
                                                      Architectures for general-purpose digital signal
  Statistical Signal Processing
                                                      processors. Peripherals for DSP applications.
  Digital Audio Signal Processing                     Development tools for DSP applications. Digital
                                                      FIR/IIR filter implementations. Fast Fourier
  Speech Analysis and Processing
                                                      transform implementations.
  Image Processing and Pattern Recognition
                                                      Distributed Multimedia Systems: Media and
  Semester 2
                                                      media systems. Multimedia storage. Media
  Array Signal Processing                             processing and applications. Media transmission
                                                      and delivery. Quality of service on distributed
  Probability and Random Process
                                                      multimedia systems. Multimedia applications.
  Video Signal Processing
                                                      VLSI Digital Signal Processors: Digital signal
  Adaptive Signal Processing
                                                      processors. Classification of architectures. Data
                                                      and instruction memories. VLSI special
The requirements for the postgraduate degree
                                                      instruction-set single chip (SISC) processors.
include satisfactory completion of four cores and
                                                      Data path logic design. Rapid prototyping. Code
four electives as well as a project. The project is
                                                      generation for embedded processors. Digital
examined by dissertation. The project may be
                                                      signal multiprocessors. Formal methods for
undertaken either in NTU or in industry. There is
                                                                Signal Processing


scheduling, assignment and allocation.              density function estimation. Random variable
                                                    simulation. Random processes. Correlation
Statistical Signal Processing: Review of            functions. Spectral density. Random processes in
random processes. Fundamentals of detection         linear systems. Optimum linear systems.
theory. Signal detection in noise. Signal           Nonlinear systems.
estimation theory. Properties of estimators.
Application of signal detection and estimation.     For more updated information, please visit our
                                                    website at:
Adaptive Signal Processing: Fundamentals of         http://www.ntu.edu.sg/eee/students/MSc/, or
adaptive signal processing. Gradient-based
adaptive FIR and IIR filters. Method of least       http://www.ntu.edu.sg/eee/eee3/MSc_Signal_Pro
squares estimation. Recursive least squares.        cessing/msc_signal_prog.asp.
Lattice filters. Nonlinear adaptive filtering.
Applications.                                       FEES

Array Signal Processing: Sensor-array               Every year, tuition fees are reviewed and subject
fundamentals, Array beamforming. Basic direction    to revision. As and when fees are revised, the
finding and geolocation. Advanced direction         new fees will be applicable to all existing and new
finding and geolocation. Target tracking. Array     students. All fees listed are in Singapore dollars
geometry optimisation and calibration. Smart        (S$) and are inclusive of Goods and Services Tax
antennas and software radio in wireless             (GST) unless otherwise stated. For more update,
communications.                                     please refer to
                                                    http://www.ntu.edu.sg/GradStudies/Coursework+
Digital Audio Signal Processing: Psychology         Programmes/Fees+and+Financial+Assistance/.
of hearing. Audio test and measurements.
Microphones and loudspeakers. Principles of         APPLICATION FOR ADMISSION
digital audio. Audio processing and synthesis.
Digital audio compression. Digital audio            Applications for admission are normally
broadcasting.                                       announced through the local press and NTU
                                                    webpage, twice per year ⎯ in January for the
Speech Analysis and Processing:                     coming Semester 1 and in September for the
Fundamentals of speech. Speech enhancement.         coming Semester 2, respectively. Applications
Dynamic time warping. Hidden Markov models          forms are to be submitted electronically only
(HMM). Speech recognition and speaker               (any other form of submission will not be
verification systems. Scalar and vector             considered) via our web page at:
quantization. Linear predictive coding. Transform   http://www.ntu.edu.sg/GradStudies/Coursework+
coding.                                             Programmes/.
Image Processing and Pattern Recognition:
Image fundamentals. Image enhancement. Image
                                                    REQUIRED TOEFL OR EQUIVALENT
restoration. Feature selection and extraction.      For the non-English speaking countries, TOEFL
Classification methods. Connectionist approach.     or an equivalent examination is required. The
                                                    minimum TOEFL score is 570 (paper-based) or
Video Signal Processing: Video basics. Video        230 (computer-based).
signal sampling and rate conversion. Video signal
filtering and enhancement. Video coding             CONTACT INFORMATION
principles and standards. Emerging video            Programme Director
communication systems.                              Associate Professor Ng Boon Poh
Probability and Random Processes:                   Tel       (65) 6790-6855
                                                    Fax       (65) 6793-3318
Probability concepts. Random variables. Multiple
                                                    Email     msc_sp@ntu.edu.sg
random variables. Sum of random variables.
Gaussian and related distributions. Probability     http://www.ntu.edu.sg/eee/eee3/cv/ebpng.htm

				
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