COLUMBIA UN IVERSITY

Department of Electrical Engineering

The Fu Foundation School of Engineering and Applied Science

IN TH E CITY OF N EW YORK

Signal and Information Processing

Prof. John Wright

SIGNAL AND INFORMATION PROCESSING

Faculty

Shih-Fu Chang – Multimedia

Dan Ellis – Music and audio analysis

John Paisley – Bayesian nonparametrics

Xiaodong Wang – Communications, genomic signal processing

John Wright – High-dimensional data, images

Many faculty have connections, e.g., Dimitris Anastassiou – Computational Biology,

Javad Lavaei – optimization for power networks, Nima Mesgarani – neural signal

processing, Aurel Lazar – neuroengineering…

SIP Course

Sequences

If this is hard

to read, see

the web version

Red: Fall 2014

E4810 Digital Signal Processing

Prof. John Wright, Mondays and Wednesdays, 10:10-11:25

Digital filtering in time and frequency domain

Discrete-time signals and systems, sampling theory, transform analysis,

system structures, IIR and FIR filter design

Discrete Fourier Transform, Fast Fourier Transforms.

E6860 Advanced Digital Signal Processing

Prof. T. Nguyen, Fridays 10:10-12:40

Multirate and multidimensional signal processing.

Short-time Fourier transform, signal expansion in discrete/continuous time.

Filter banks, multiresolution analysis, wavelets.

Applications to image compression and understanding.

E4650 Convex Optimization

Prof. Javad Lavaei, Mondays 10:10-12:40

Theory, algorithms and engineering applications of convex

optimization.

Theory of convex sets and functions.

Numerical algorithms.

Applications in circuits, communications, control, signal processing, power.

E4750 Signal Processing on Mobile Multicore Platforms

Prof. Zoran Kostic, Tuesdays 1:10-3:40

Deploying signal processing and communications algorithms on

contemporary mobile processors

Signal processing with heterogeneous computing infrastructures consisting of

general purpose, graphics and digital signal processors

Programming languages such as OpenCL and CUDA for computational gains

Project/applications in audio, image and video processing and computational

data analysis.

1

Electrical Engineering Department

New Course: ELEN E4750 Fall 2014 Thursdays 1:10pm-3:40pm

Signal Processing and Communications on Mobile Multicore

Processors (Applications of Parallel Computing) Target Audience: Open to SEAS Students interested in acquiring SW and systems skills in low-power parallel computing, …  skills  of  critical  importance  to  mobile   computing/communications industry in the next decade, applicable to research projects of CU EE/CS faculty. Course Description: Methods for deploying signal processing and communications algorithms on

contemporary mobile processors with heterogeneous computing infrastructures consisting of a mix of general purpose, graphics and digital signal processors. Using programming languages such as OpenCL and CUDA for computational speedup in audio, image and video processing and computational data analysis. Significant design project. Prof. Zoran Kostic zk2172 (at) columbia.edu Link to information: Course Link

E6873 Detection and Estimation

Prof. Ta-Hsin Li, Tuesdays 7-9:30 PM

Fundamentals of detection and estimation theory.

Hypothesis testing, signal detection, parameter estimation,

signal estimation, and selected advanced topics.

Suitable for students in communications, control, signal processing, and

related areas.

E6601 Introduction to Control Theory

Prof. Richard Longman, Wednesdays 7-9:30 PM

Introduction to classical and modern feedback control (graduate level).

Scalar and matrix differential equation models. Transfer functions, block

diagram manipulations, closed-loop response.

Proportional, rate, and integral controllers, and compensators. Design by root

locus and frequency response.

Controllability, observability. Luenberger observers, pole placement, and

linear-quadratic cost controllers.

E6893 Topics in Info Processing: Big Data Analytics

Prof. C. Y. Lin, Thursdays 7-9:30 PM

Analyzing Big Data: from acquisition and storage to processing

Platforms, including Hadoop, Spark

Uploading, distribute, and processing data, including HDFS, HBase, KV

stores, document database, and graph database

Large-scale machine learning for big data

Special topics (688X):

ELEN E6880 Topic: Space-Time Coding / SP Wireless Comm. (Sp.‘08, ’07)

ELEN E6880 Topic: MIMO Wireless Communication (Spring ‘13, ‘12, ’11)

ELEN E6881 Topic: Video Coding and Communications (Spring ‘09, ’08)

ELEN E6882 Topic: Stat. Methods for Video Index & Analysis (Fall ’07)

ELEN E6882 Topic: Visual Search Engine (Spring ‘12, ’11)

ELEN E6883 Topic: Detection & Estimation (Fall ‘10, ‘09, ‘08, ’06)

ELEN E6884 Topic: Speech Recognition (Fall ’05)

ELEN E6884 Topic: Data Compression (Spring ‘13, ‘12, ’11)

ELEN E6885 Topic: Network Science (Fall ‘13, ‘12, ‘11, ’10)

ELEN E6886 Topic: Multimedia Security Systems (Spring ’06)

ELEN E6886 Topic: Sparse Rep. / High Dim. Geometry (Fall ‘12, ’11)

ELEN E6887 Topic: Statistical Learning Theory (Spring ‘10, ’09)

ELEN E6888 Topic: Intro. to LTE & WiMax Systems (Spring ‘13, ‘12, ‘11, ’10)

ELEN E6889 Topic: Distributed Stream Processing and Analysis (Spring ’10)

EECS E6890 Topic: Visual Recognition and Search (Spring ’13)

EECS E6891 Topic: Replicating Computational Results (Spring ’13)

EECS E6898 Topic: From Data to Solutions (Fall ‘13, ‘12)

Related course offerings (coding, communications, ect.)

ELEN 4702 Digital Communications

ELEN 6718 Algebraic Coding Theory

ELEN 6761 Computer Communications Networks

ELEN 6770 Topics: Next Generation Networks

ELEN 6773 Topics: Network Economics and Engineering

ELEN 6776 Topics: Content Distribution Networks

ELEN 6881 Topics in Signal Processing: Multicarrier Resource Allocation

ELEN 6920 Topics in VLSI: VLSI for Signal Processing

ELEN 6950 Wireless and Mobile Networking

Frequently asked questions:

Should I take DSP (4810) or Advanced DSP (6860)?

What about machine learning? One likely topics course for Sp. 15

Sparse Representation + High-Dimensional Geometry (Wright)

Plus additional topics offerings…

How can I get involved in research in SIP?