advanced control systems (3 credits) 现代控制系统

Advanced Control Systems (3 Credits)

现代控制系统

Instructor Iven MAREELS ([email protected]) Melbourne School of Engineering, University of Melbourne

Ying TAN ([email protected]) Melbourne School of Engineering, University of Melbourne

Synopsis This subject provides an introduction to modern control theory with a particular focus on state-space techniques and optimal control. Students will study topics including:

System modelling, state-space models, Lyapunov stability theory, and linearization;

Controllability and observability of linear-time-invariant system, state feedback and pole placement, output feedback and observer design;

Linear quadratic regulators, moving-horizon predictive control with constraints, and dynamic programming.

This material is complemented by the use of software tools (e.g. MATALB/ Simulink) for computation and simulation.

Offering 2015 Julmester

Audience Year 3 & 4 Undergraduate and Graduate Students

Classroom Room xxx, Teaching Bldg. No. XX, Peking University

Schedule Class: 2-5 PM, M-F, July 6–24, 2015; Final Exam: 2-5 PM, July 25, 2015

Objective On completing this subject the student should be able to: Apply fundamental state-space techniques in the analysis and design of linear feedback control systems, as

they arise in a variety of contexts;

Formulate control engineering problems in terms of optimising an objective function subject to constraints;

Use software tools to simulate and design the linear control systems.

Topics

Part 1: State-space modelling • linear time-invariant systems • nonlinear time-varying systems • linearization

Part 2: Properties of linear time-invariant systems: controllability and observability

Part 3: Controller design and implementation • Design full state feedback controller using

pole-placement

• Design an observer using separation principle

Part 4: Internal model principle to track a reference or reject a disturbance

Part 5: Optimal control • Optimization problem • Motivation of optimal control • Two methods to solve optimal control problem • LQR problem and its solution

Part 6: Model Predictive Control

References 1. G. Goodwin et al, Control System Design, Prentice Hall 2001

2. Feedback Control of Dynamic Systems. G. Franklin et al.5th ed. Addison-Wesley

3. Modern Control Engineering. K. Ogata. 3rd ed. Prentice-Hall

4. Modern Control Systems. R. Dorf et al. 10th ed. Pearson Education

5. Feedback Systems: An Introduction for Scientists & Engineers

6. K. Astrom and R. Murray (2008). Princeton

Grading Homework Assignment HW 1 10% HW 2 10%

20%

Workshop Workshop 1 10% Workshop 2 10%

20%

Midterm Assessment 10%

Final Assessment 40%

Attendance & Discussion 10%

Total 100%

mailto:[email protected]


Bioinformatics (3 Credits)

生物信息学

Instructor Li LIAO ([email protected]), Dept. of Computer and Information Sciences, University of Delaware, USA

Synopsis Bioinformatics, as its name suggests, is to use informatics/computing approaches to solve biological problems. In its short history, bioinformatics has made great progresses towards answering important, fundamental questions in biology. This course introduces basic concepts, methodologies, and tools in bioinformatics. From this course, students will learn some major computational methods and techniques, including: Dynamic programming; Pairwise and multiple sequence alignment; Phylogenetic tree reconstruction; Hidden Markov models; K-mean clustering. No prior knowledge of molecular biology is assumed; the course has a primer on molecular biology, covering some basic concepts.




Schedule Class: 8-11 AM, M-F, July 6–24, 2015; Final Exam: 8-11 AM, July 25, 2015

Objective The goals are 1) to pick up the concepts and vocabularies; 2) to become familiar with various bioinformatics resources (tools and databases); and most importantly, 3) to master basic algorithms and models.

Topics 1. A primer to molecular biology: Central dogma, DNA, RNA, Proteins, Clone, PCR, sequencing, DNA microarray chips, yeast 2 hybrid.

2. Genome sequencing: Various sequencing techniques and strategies, physical mapping, sequence assembly.

3. Sequence alignments: pairwise and multiple sequence alignments, dynamic programming, Needleman-Wunsch algorithm and Smith-Waterman algorithm, BLAST, significance analysis, e-value. Gene identification and functional annotation.

4. Hidden Markov models: Viterbi decoding algorithm, Baum-Welch algorithm for model training, application to protein families and gene finding.

5. Phylogeny: Evolutionary models, phylogenetic trees and reconstruction methods, Fitch algorithm, Bootstrap.

6. Structure prediction: protein secondary structure prediction, RNA structure prediction, lattice models.

7. Gene expression analysis: Profiling and clustering methods, k-means.

8. Gene regulatory network inference: Boolean networks.

References 1. M. Zvelebil and J. Baum, Understanding Bioinformatics; Garland Science (2008).

2. R. Durbin, S.R. Eddy, A. Krogh, and G. Mitchison, Biological Sequence Analysis: Probabilistic Models of Proteins and Nucleic Acids; Cambridge University Press (1998).

3. P. Clote and R. Backofen, Computational Molecular Biology: An Introduction; John Wiley & Sons (2000).

Grading Homework Assignments (4) 40%

Midterm Exam 20%

Final Exam 40%

Total 100%

Biotransport Phenomena (3 Credits)

生物流体传质传热现象

Instructor Lidan YOU ([email protected]), Dept. of Mechanical & Industrial Engineering, University of Toronto, Toronto Canada

Synopsis The course introduces the physical factors governing the transport of momentum, heat and mass, and how they operate in biological systems. Students will learn how to quantify the transport of these quantities by using basic equations of fluid mechanics (mass conservation, Bernoulli, generalized Bernoulli) and of heat and mass transfer (convection-diffusion equation). The course covers examples such as gas exchange in lung, inter cellular signal transport in bone, blood flow in cardiovascular system, heat exchange in human body, and chemotransport and momentum transport in several in vitro experimental systems. Student will be assigned pertinent research papers on bio-transport and will be required to present their understanding and analysis of the work done.




Schedule Class: 2-5 PM, M-F, July 6-24, 2015; Final Exam: 2-5 PM, July 25, 2015

Objectives To understand the physical factors governing the transport of momentum, heat and mass, and how these factors operate in biological systems.

To develop the ability to quantify the transport of these quantities by using basic equations of fluid mechanics (mass conservation, Bernoulli, generalized Bernoulli) and of heat and mass transfer (convection-diffusion equation).

Syllabus INTRODUCTION

What is Biotransport? Stresses Fluid Properties Units Fluid Kinematics

CONTROAL VOLUME APPROACH

Control Volumes Reynolds Transport Theorem Mass conservation Control volume form of momentum equation

DIFFERENTIAL APPROACH

Fluid Statics Buoyance Fluid Rheology Continuity Equation Navier-Stokes Equation Euler and Bernoulli Equation

DIMENSIONAL ANALYSIS

Pi Theorem Similitude

REAL FLOWS

External Flow: Boundary Layer Theory External Flow: Turbulent Boundary Layers External Flow: Drag and Drag Coefficient Inner Flow: Laminar Flow in Conduits Inner Flow: Turbulent Flow in Conduits–Moody Chart Inner Flow: Generalized Bernoulli Equation

MASS TRANSFER

Mass Fluxes Governing Equations Boundary Conditions Steady Diffusion Convective Mass Transfer Concentration Boundary Layer Mass Transfer in Ducts

HEAT TRANSFER

Introduction Combined Heat Transfer Energy Equation Convective Heat Transfer

STUDENT PRESENTATIONS

Text Transport Phenomena in Biological Systems, 2nd Edition, by G.A. Truskey, F. Yuan and D.F. Katz

Grading Assignments 10%

Midterm 25%

Presentations 20%

Final Exam 45%

Total 100%


China Economy: Growth and Global Connections (2 & 3 Credits)

中国经济: 增长与全球联系

Instructor Susan MAYS ([email protected]), Center for East Asian Studies, University of Texas at Austin, USA

Synopsis This course addresses economic development in China, in global context. Through class time, case studies, and visits to organizations and companies, the course examines trends in trade, foreign investment, ownership (i.e., public vs. private), finance, the workforce, and consumption, as well as key business sectors. The class also considers challenges and opportunities in China in the areas of environment, energy, education, and healthcare. Taught by an economic historian, the course considers China’s unique history, culture, and business context, as well as global partnerships and influences. The reading and case studies are by scholars, leaders in business and economics, and journalists.


Audience Undergraduate and Graduate Students (all majors, all levels) with no prerequisites


Schedule July 6–24,

2015

3 Credits: Field Trip A Class: 8:00-10:30 AM: Mon, Tue, Thu, Fri

Wed: No Class

Final Exam: 8-10:30 AM

July 25, 2015 2 Credits: No Field Trip

Field Trip A July 8, 15, 22: 8 AM-1 PM Company Visits in Beijing Area

Cost of Field Trip: USD 80 (coach and snacks)

Objective To understand the fundamentals of China’s economy and to examine business trends, opportunities, and challenges.

Topics The following topics will be covered together with 3 case studies. For the 3-credit course, a further 4-6 company/organization visits are required.

1. Overview: China’s Reform and Opening from 1978 and Chinese Governance

2. Labor Migration, Export-led Development, and Foreign Trade

3. Business Ownership (private, state-owned, Sino-foreign joint ventures, foreign owned)

4. Financial Services and the Legal System

5. High Tech Sectors and Entrepreneurship

6. The Education System and China’s Talent Pool

7. Energy Sectors and Environmental Challenges

8. Family Economics and the Healthcare Industry

9. The Foreign Sector in China and Chinese Investments Abroad 10. Infrastructure Initiatives

References 1. Brantly Womack, editor, China's Rise in Historical Perspective, Rowman & Littlefield Publishers, 2010. Authors: Lowell Dittmer, Erica Downs, Mark Elvin, Joseph Esherick, Joseph Fewsmith, Barry Naughton, Dwight Perkins, Qin Yaqing, Evelyn Rawski, Keith Schoppa, Michael Swaine. Ebook from publisher $26 or hardcopy from Amazon $28.

2. Articles and case studies provided by instructor.

Grading Midterm 20%

Report and Presentation 25%

Final Exam 40%

Attendance & Discussion 15%

Total 100%


China Past and Present (2 & 3 Credits)

中国的过去与现状

Instructor David SENA ([email protected]), Dept of Asian Studies, University of Texas at Austin, Texas USA

Synopsis This course introduces the study of Chinese society and culture through an examination of the cultural unities and diversities, continuities and discontinuities that comprise the historical development of Chinese civilization. The course begins with an overview of the land, language, and people of China. The second unit of the course leads students through a sketch of Chinese history from the prehistorical through the modern period, with an emphasis on the development of fundamental cultural features of Chinese civilization. The third unit of the course focuses on contemporary China, examining recent developments in society and culture, the evolving Chinese economy, and China's changing role in an increasingly intertwined global environment. The final week includes a field trip to historical sites in Xi'an and Luoyang.


Audience Undergraduate and Graduate Students (all majors and all levels) with no prerequisites


Schedule July 6–24,

2015

3 Credits: Field Trip B Class: 2:00-4:30 AM: Mon, Tue, Thu, Fri

Wed: No Class

Final Exam: 2-4:30 PM

July 25, 2015 2 Credits: No Field Trip

Field Trip B July 26-30: Xian and Luoyang

Cost of Field Trip: USD 600 (accommodation, meals, high-speed trains + local coach, entrance tickets)

Objective The primary learning goal for this course is to acquire a broad understanding of the historical development of civilization in China and its influence on contemporary China. This course adopts a "hands on" approach by asking students to consider primary historical evidence of both a textual and visual nature. Therefore, a second goal of this course is to develop one's ability to interpret texts and images as historical evidence by considering such material within its particular cultural, social, and political context.

Topics Unit 1: Chinese Land, Language, and People

1.1. Land and climate 1.2. Languages and writing 1.3. People and ethnicity in a diverse China

Unit 2: Historical Overview

2.1 Origins of Chinese Civilization 2.2 Foundations of the Imperial State 2.3 China's Commercial Revolution 2.4 Imperialism and War in early Modern China 2.5 China in Revolution 2.6 China in the post-Mao period

Unit 3: Contemporary China

3.1 Chinese society today 3.2 Chinese economy 3.3 China in the global environment

References

1. Patricia Buckley Ebrey, Cambridge Illustrated History of China, 2nd edition (Cambridge; New York: Cambridge University Press, 2010).

2. Other articles provided by instructor.

Grading Attendance and Participation

Short essay

Midterm exam

Final Exam

10%

25%

25%

40%

Total 100%


Cross-Cultural Design for an Eco-Responsible Business Model (4 Credits)

跨文化设计：对生态负责的商业模型

Instructor Marc LUCAS ([email protected]), Mines Paris Tech, Paris France

Synopsis In this course, you will learn how to analyze and design for an eco-responsible business model. It involves team-working with students from MINES ParisTech, France in a cross-cultural environment on a project provided by a World leading manufacturer, which seeks to implement an ambitious and long-term environmental plan to curtail Green House Gas (GHG) emissions. It offers you an opportunity to improve on an eco-responsible industrial model by learning how to collect and interpret scientific data in GHG of a realistic engineering system, in contrast to the textbook models taught in class. You will be invited to spend some time in a carbon free plant in China to develop a computational model for a realistic method of reducing energy consumption. At the end of the course you will gain real-life professional experience, interaction skills to deal with students of different training, language capabilities and cultures, and a better awareness of the fragile biosphere we all must sustainably live in.


Audience 3rd & 4th Year Undergraduate Students in Engineering and Science


Schedule Class: 8-11 AM: July 6 to 7 and July 16 to 25 Final Exam: None Field Trip C: July 8 to 15

Field Trip C July 8 to 15: Full Time at L’Oreal Plant in Yichang, Hubei Province. Students taking this course will not be able to register for other Globex courses as Field Trip C requires a mid-semester off-campus travel.

Objectives Develop cross-cultural skills: they will learn why it is so relevant for industries to recruit engineers with cross-cultural skills and with a global approach of problem resolution.

Discover a company from inside through a real project: a week will be dedicate to visit companies and to meet engineers and decision makers in industries in order to understand the context, the limits and the aim of their mission.

Work together as a multi-cultural team: they will learn how to work with students of other culture in a professional and globalized context.

Analyze and design a practical method of reducing energy consumption: they will be able to develop a methodology and to organize their team and personal works in order to accomplish their mission.

Gain a first professional experience of sustainable ability: the topic of the course directly relates the sustainability of industrial activities, which is a relevant topic for companies, public institutions and the citizens at a global scale.

Topics 1. Carbon free, a new global challenge for society and business: what are the new opportunities for carbon free industries? Why it is relevant for their business model?

2. The Greenhouse Gas (GHG) Protocol, a global standard to measure, manage, and report greenhouse gas emissions: introduction to GHG protocol methodology to identify GHG emissions in process industries.

3. Project Management Basis in process industries: what are the fundamentals of project management? What is the standard methodology and what are the main tools?

4. Models and tools for energy consumption optimization in process industries: what are the main models, methodologies and software that can help decision makers to optimize their energy consumption?

5. Professional communication (technical written report and team oral presentation): how to write a professional report addressed for engineers and managers and how to prepare a successful viva.

References 1. Bahadori A., Clark M. and Boyd B., 2013. Essentials of Water Systems Design in the Oil, Gas, and Chemical Processing Industries. Springer. 102p.

2. Labuschagne C., Brent A.C. and Claasen S.J., 2005. Environmental and Social Impact Considerations for Sustainable Project Life Cycle Management in the Process Industry. Corporate Social Responsibility and Environmental Management, Vol. 12, 38-54.

3. Munier N., 2013. Project Management for Environmental, Construction and Manufacturing Engineers : A Manual for Putting Theory into Practice. Springer. 250p.

4. Sotos M., 2015. GHG Protocol Scope 2 Guidance, An amendment to the GHG Protocol Corporate Standard. World Resources Institute. 116p.

5. Zhu S., He C. and Liu Y., 2014. Going green or going away: Environmental regulation, economic geography and firms’ strategies in China’s pollution-intensive industries. Geoforum, Vol. 55: 53–65.

Grading Attendance and Participation 10%

Project Assessment Individual & Small Group Contributions

40%

Multicultural Team Work Assessment

Final design & Technical report 20%

Collective oral presentation 30%

Total 100%


Cross-Cultural Design for an Eco-Responsible Business Modal

Notes:

1. Students taking this class will not be able to register for other Globex classes as they are required to spend a week during mid-semester at the L’Oréal cosmetics plant in Yichang, Hubei. Further, all trip expenses will be borne by the sponsor (L’Oréal) and hence, there will be no charges for students undertaking the field trip.

2. The class requires a commitment of at least 60 hours.

3. Space in this class is limited to 24 only.

Computational Multiphase Flows (3 credits)

计算多相流

Instructors Eric CLIMENT ([email protected]), Dept. of Fluids Mechanics, INP-ENSEEIHT/IMFT, Toulouse-France

Dominique LEGENDRE ([email protected]), Dept. of Fluids Mechanics, INP-ENSEEIHT/IMFT

Synopsis Multiphase flows are ubiquitous in industry (petroleum, nuclear engineering and energy transformations) as well as in environment. Depending on the flow regime, two flow configurations can be observed: dispersed two-phase flows with particles, drops and bubbles or flows with complex and deformable interfaces experiencing topologic evolutions: rupture, coalescence, etc. The numerical simulation has proven to be an efficient tool for engineers and researchers to understand and model the complex interplay between the phases. The purpose of the lectures is to introduce numerical simulations for (i) dispersed two-phase flows and advanced topics in computational fluids mechanics, including particle suspensions, bubbly liquids and droplet sprays, and (ii) numerical methods able to deal with complex interfaces. Lectures on classic numerical approaches for solving Navier-Stokes equations will be introduced, together with their coupling with Lagrangian tracking of particles (dispersion, two-way coupling, modelling of hydrodynamic interactions) or with one-fluid approaches as Volume of Fluid (VoF) or Level Set. Students will be trained to program some practical examples of important phenomena. Students will work on projects using Matlab to simulate particle suspension flows, bubble and droplet dispersions.





Objective To develop an understanding of the numerical method for solving multiphase flows. The students will be trained to the specificity of particles, drops and bubbles dynamics in order to have a better ability to develop numerical modeling. Numerical simulations of complex industrial configurations will be discussed.

Topics 1. Introduction to computational fluids mechanics 2. Examples of two-phase flows in engineering applications 3. Particle and bubble dynamics (Forces) 4. Solving ODEs for particle trajectories 5. Numerical techniques for two-way coupling simulations 6. Numerical project on particles/bubbles in fluid flows 7. General equation for two-phase flow problems 8. Introduction to VoF and level set methods

References

1) Bubbles, Drops, and Particles - Dover Books on Engineering by Roland Clift, John R. Grace, Martin E. Weber (ISBN 0486445801, 9780486445809).

2) Multiphase Flows with Droplets and Particles by C. Clayton T. Crowe, John D. Schwarzkopf, Martin Sommerfeld, Yutaka Tsuji - CRC Press, 2011 (ISBN 1439840504, 9781439840504).

3) Turbulent Dispersed Multiphase Flow by S. Balachandar and John K. Eaton. Annual Review of Fluid Mechanics Vol. 42 (2010): 111-133.

4) Computational Methods for Multiphase Flow by Andrea Prosperetti, Grétar Tryggvason - Cambridge University Press, 2007 (ISBN 0521847648, 9780521847643).

5) Journal Papers.

Grading Midterm Exam 25%

Final Exam 25%

Numerical Modeling Project 30%

Homework 20%

Total 100%



Neural Prosthetic Engineering (3 Credits)

神经假体工程

Instructor Sung June KIM ([email protected]), Dept of Electrical & Computer Engineering, Seoul National University , Seoul Korea

Synopsis The aim of this course is to understand the principles and state-of-the arts development of the Neural Prosthesis. Neural prosthesis is an electronic implant that interfaces with nervous systems. Through direct electrical stimulation of nerves, it can help restore damaged or lost sensory or motion functions. Typical examples include cochlear implant and retina implant recently developed for severely hearing and vision impaired patients respectively. More recently interfacing with neurons in brain draws more attention for both therapeutic and scientific purposes. In this lecture we will cover all engineering aspects of the auditory, visual prostheses, and deep brain stimulation.


Audience All levels of Engineering Students (Some basic electrical circuits will be taught during the class.)



Objective To understand fundamentals of neural prosthetic engineering and their application in auditory, visual prostheses and deep brain stimulation.

Topics 1. Introduction: A gentle introduction to neural prostheses and their history

2. Fundamental 1 – At the metal electrode (electrochemistry, charge storage and impedance)

3. Fundamental 2 – Electronics (circuit and biotelemetry)

4. Fundamental 3 – Neurophysiology and biopotentials

5. Fundamental 4 – The implant technology (biomaterials, biocompatibility, the electrode and the hermetic package)

6. Application 1 – Cochlear implant

7. Application 2 – Visual prosthesis

8. Application 3 – Deep brain stimulation

9. Application 4 – Regulator approval of implantable medical devices

10. Application 5 – Future prospects

11. Term project presentation

References 1. D. Zhou, David and E. Greenbaum, eds. Implantable Neural Prostheses 1: Devices and Applications, Springer, 2009.

2. D. R. Merrill, "The electrochemistry of charge injection at the electrode/tissue interface," in Implantable Neural Prostheses 2, ed: Springer, 2010, pp. 85-138.

3. P. Troyk and S. Cogan, "Sensory Neural Prostheses," in Neural Engineering, B. He, Ed., ed: Springer US, 2005, pp. 1-48.

4. G. Loeb, "We Made the Deaf Hear. Now What?," in Toward Replacement Parts for the Brain, MIT Press, 2005.

5. Other journal papers

Grading Midterm Exam 20%

Final Exam 20%

Homework 20%

Term Project 20%

Attendance 20%

Total 100%


Smart Materials and Structures (3 Credits)

智能材料与结构

Instructor Hani E. NAGUIB ([email protected]), Dept. of Mechanical & Industrial Engineering, University of Toronto, Toronto Canada

Synopsis Smart materials are a novel class of materials characterized by new and unique properties that can be altered in response to environmental stimuli. They can be used in a wide range of applications since they can exceed the current abilities of traditional materials especially in environments where conditions are constantly changing. Topics include: structure, processing, properties of smart materials; Processing and design; Mechanical, thermal, electrical, magnetic and optical smart materials systems; Examples are: shape memory materials, electrostrictive materials, and magnetostrictive materials; Modeling and optimization of smart materials.





Objectives To provide an integrated and complete knowledge to smart materials and structures, which makes a strong foundation for further studies and research on these materials

To introduce the structure, processing, properties of main smart materials systems To investigate the design of thermal, electrical, magnetic and optical smart materials systems To introduce the modeling and optimization techniques of smart materials systems To present some real life applications for smart materials systems

Syllabus INTRODUCTION Course Administration Introduction to smart materials & structures

SHAPE MEMORY MATERIALS Shape memory alloys Shape Memory Ceramics Shape memory polymers

PIEZO AND FERROELECTRICS Piezoelectricity Piezoresistivity Ferroelectricity

DIELECTRIC MATERIALS Dielectric Elastomers Electrostrictive Elastomers Electrets

Electrorheological Fluids

IONIC MATERIALS Conductive Polymers Ionomeric Polymer-Metal Composites Carbon Nanotubes Liquid Crystals

MAGNETIC ACTIVE MATERIALS Magnetostriction Magnetorheological Fluid Superconductors

OTHER SMART MATERIALS Introduction Self Healing Materials Polymer Gels

CASE STUDIES

Project Overview

The project fulfills the design-course requirement and based on applying the course contents to solve a real-world challenge/problem.

Text Course Notes provided by the instructor

Grading Midterm 25%

Final 50%

Project 25%

Total 100%


Speech and Audio Processing: Theory and Applications (3 Credits)

语音及音频处理的理论与实践

Instructor Tan LEE ([email protected]), Dept of Electronic Engineering, Chinese University of Hong Kong

Synopsis Speech is inarguably the most preferred and natural way of communication for humans. Speech is transmitted from a speaker to a listener in the form of an acoustic signal. The signal carries abundant information, including the linguistic content, the speaker’s voice characteristic, health and emotional conditions, and the ambient environment. Speech signals have many distinctive features that are not found in other signals from the natural world. In the first part of this course, students will study the fundamental theory of digital processing of speech signals. Important time-domain and frequency-domain properties of speech signals will be investigated. Other types of audio signals, namely music and noise, will also be covered in our discussion. The second part of this course will be focused on a few selected applications of speech and audio processing, which include automatic speech recognition, music classification, hearing and speaking aids. The basic principles of system design will be introduced and the major technological challenges will be discussed. Students who take this course are expected to have fundamental knowledge in signals and systems and experience in using MATLAB.





Objective To understand human speech communication from signal processing perspective.

To gain hands-on experience in analyzing and manipulating different types of audio signals.

To study existing and potential applications of speech and audio processing.

To experience the design and implementation process of a computer-based speech and audio processing system.

Topics 1. Digital signal processing [6 hr]: discrete Fourier transform, short-time Fourier transform, digital filters and filter bank.

2. Speech communication [6 hr]: human speech production, human auditory perception, classification of speech sounds.

3. Speech analysis [12 hr]: short-time stationarity, time-domain features, frequency-domain features, pitch and tone.

4. Music analysis [6 hr]: pitch and harmonics, notes, tempo, rhythm, melody and timbre.

5. Selected applications [15 hr]: hearing aids, cochlear implants, automatic speech recognition, music transcription.

References 1. Douglas O’Shaughnessy, Speech Communications: Human and Machine, 2nd Edition, IEEE Press (2000).

2. Thomas F. Quateri, Discrete-time Speech Signal Processing: Principles and Practice, Prentice Hall (2001).

Grading Assignments 20%

Project 30%

Midterm Exam 10%

Final Exam 40%

Total 100%

mailto:tanlee@ee

advanced control systems (3 credits) 现代控制系统

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