Discrete-Time Signal Processing

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9/10 stars
based on  13 reviews
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Course Details

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FREE

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  • TBA

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edX online courses
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Harvard University, the Massachusetts Institute of Technology, and the University of California, Berkeley, are just some of the schools that you have at your fingertips with edX. Through massive open online courses (MOOCs) from the world's best universities, you can develop your knowledge in literature, math, history, food and nutrition, and more. These online classes are taught by highly-regarded experts in the field. If you take a class on computer science through Harvard, you may be taught by David J. Malan, a senior lecturer on computer science at Harvard University for the School of Engineering and Applied Sciences. But there's not just one professor - you have access to the entire teaching staff, allowing you to receive feedback on assignments straight from the experts. Pursue a Verified Certificate to document your achievements and use your coursework for job and school applications, promotions, and more. EdX also works with top universities to conduct research, allowing them to learn more about learning. Using their findings, edX is able to provide students with the best and most effective courses, constantly enhancing the student experience.

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21312 reviews

Course Description

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6.341x is designed to provide both an in-depth and an intuitive understanding of the theory behind modern discrete-time signal processing systems and applications.  The course begins with a review and extension of the basics of signal processing including a discussion of group delay and minimum-phase systems, and the use of discrete-time (DT) systems for processing of continuous-time (CT) signals.  The course develops flow-graph and block diagram structures including lattice filters for implementing DT systems, and techniques for the design of...

Sign Up to Be Notified When This Course Opens for Enrollment.

6.341x is designed to provide both an in-depth and an intuitive understanding of the theory behind modern discrete-time signal processing systems and applications.  The course begins with a review and extension of the basics of signal processing including a discussion of group delay and minimum-phase systems, and the use of discrete-time (DT) systems for processing of continuous-time (CT) signals.  The course develops flow-graph and block diagram structures including lattice filters for implementing DT systems, and techniques for the design of DT filters. Parametric signal modeling and the efficient implementation of DT multirate and sampling rate conversion systems are discussed and developed. An in-depth development of the DFT and its computation as well as its use for spectral analysis and for filtering is presented. This component of the course includes a careful and insightful development of the relationship between the time-dependent Fourier transform and the use of filter banks for both spectral analysis and signal coding.

6.341x is organized around eleven units each typically consisting of a set of two to four topics. The source material for learning each topic includes suggested reading in the course text, clarifying notes, other related reading, and video excerpts and will include an interactive on-line discussion forum. The course text is the widely used text by Oppenheim and Schafer (third edition), available on the course website in viewable format. The video segments are adapted from live video recordings of the MIT residential course. 

Each topic includes a set of automatically-graded exercises for self-assessment and to help in digesting and understanding the basics of the topic, and in some cases to preview topics. A typical unit in the course concludes with a set of more extensive problems to help in integrating the topics and developing a deeper understanding. Automatic grading of your answers to these problems as well as solutions will be provided.


 

FAQ

Who can register for this course?
Unfortunately, learners from Iran, Sudan, Cuba and the Crimea region of Ukraine will not be able to register for this course at the present time. While edX has received a license from the U.S. Office of Foreign Assets Control (OFAC) to offer courses to learners from Iran and Sudan our license does not cover this course. Separately, EdX has applied for a license to offer courses to learners in the Crimea region of Ukraine, but we are awaiting a determination from OFAC on that application. We are deeply sorry the U.S. government has determined that we have to block these learners, and we are working diligently to rectify this situation as soon as possible.

Cite this course as

Alan V. Oppenheim and Thomas A. Baran, 6.341x Discrete-Time Signal Processing, on edX, Spring 2015.  https://www.edx.org/course/mitx/mitx-6-341x-discrete-time-signal-4396

 

Reviews 9/10 stars
13 Reviews for Discrete-Time Signal Processing

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Piyush Mishra profile image
Piyush Mishra profile image
10/10 starsTaking Now
  • 1 review
  • 0 completed
3 years, 10 months ago
I studied both signals and systems and digital signal processing form Sir Alan V Oppenheim. Can't wait to see him live.
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10/10 starsCompleted
3 years, 4 months ago
This is a wonderful course and Prof. Oppenheim is a great teacher. I took an undergraduate DSP class about 20 years studying on Prof. Oppenheim text which a reference guide for DSP. Many thanks to Prof. Oppenheim, Tom Baran, Tarek Lahlou and Team Content.
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ryguy profile image
ryguy profile image
10/10 starsDropped
  • 2 reviews
  • 1 completed
3 years, 5 months ago
This course was amazing. The content is advanced which is rare for a MOOC. Unfortunately I didn't have the time to complete it, and I'm hoping that MITx offers it again. I would highly recommend this course to anyone who wants to solidify their DSP knowledge but already has a pretty decent background.
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student

10/10 starsCompleted
3 years, 8 months ago
The text by Oppenheimer is heavenly , has been constantly inspiration to penintratre in this signal .
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10/10 starsCompleted
3 years, 8 months ago
The course is of extreme high quality. This course is a great introduction to DSP, an area that is extremely relevant to almost every modern technology. The lectures, exercises, problem sets and even tests are designed to help the student understand the fundamentals behind DSP concepts. The content and flow are very well thought out and balanced. If you are new to DSP, this course will allow you to apply what you learn to practical applications right away. The course will also give you a strong foundation for more advanced DSP subjects. If you are already familiar with DSP as in my case, the course will be a great refresher and you'll likely learn new ways of analyzing systems and dive deep down on concepts that you might have forgotten. Highly recommended!
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10/10 starsCompleted
3 years, 9 months ago
If you are an analog designer and live on "Analog" island then the bad news for you is that its the era of system integration and you got to learn full chain signal processing which is mostly DSP. The good news is this course. A very through and engaging kind of course. I specially liked the clicker questions which hit you exactly on the "confusion" spot.
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10/10 starsCompleted
3 years, 9 months ago
After taking the beta run of the course, I understood that DSP is more than just equations and formulas. The course is well paced. I feel that Oppenheim has taught the course in a very unique way and this course is very different from the rest of the courses out there.
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10/10 starsCompleted
3 years, 9 months ago
The course interleaves video with exercises in way that really helped me learn. The staff were responsive and patient. The online textbook was a little inconvenient; I found the paper version more usable. This is a well-paced course, provided you have the required background knowledge. I was overloaded in the introductory weeks because what I could remember from a signal processing course I did twenty years ago, plus some advanced topics I use at work, was not enough! I could have got much more from this course if I'd brought my background up to date first.
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10/10 starsCompleted
3 years, 9 months ago
I used to think digital signal processing was just math and equations. After taking Professor Oppenheim's beta version of this course, I've realized I need to use intuitive way to understand the concepts like noble identities. The beauty of the course is you don't need any extra tools because the focus is truly understand the concepts. This is the course to take if you are series about discrete-time signal processing. Professor Oppenheim, Tom, and Tarek set a high bar for online course. Thank you!
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10/10 starsCompleted
3 years, 9 months ago
I took an undergraduate DSP class about 20 years ago using professor Oppenheim's text book. So, it is a great motivation for me to take class taught directly by him, on top of my curiosity/interest on DSP related topics. After taking the beta version of the class, I have a very good experience in the following ways: 1) Professor, TA are very knowledgeable and serious about the quality of the class down to the minor details. Sometimes, I learned something from someone through taking a class, I may wonder if the material (lecture, homework question/answer) will have minor errors especially when I get to something that I do not understand. In this class, the error rate is quite low, and if I asked them questions for clarification, the error rate is even lower, approaching to zero... 2) TA is very patience and responsive to make sure that students really get their questions answered. I used to follow up my questions MANY times just to cl... I took an undergraduate DSP class about 20 years ago using professor Oppenheim's text book. So, it is a great motivation for me to take class taught directly by him, on top of my curiosity/interest on DSP related topics. After taking the beta version of the class, I have a very good experience in the following ways: 1) Professor, TA are very knowledgeable and serious about the quality of the class down to the minor details. Sometimes, I learned something from someone through taking a class, I may wonder if the material (lecture, homework question/answer) will have minor errors especially when I get to something that I do not understand. In this class, the error rate is quite low, and if I asked them questions for clarification, the error rate is even lower, approaching to zero... 2) TA is very patience and responsive to make sure that students really get their questions answered. I used to follow up my questions MANY times just to clarify things out, I still get answer from him until I can think through the issue. 3)The range of subject is rich. The class starts with the most simple/basic stuff, and ends of pretty involved topic (to me) like filter banks, wavelets. It involves a lot of signal and system concept, statistical analysis for stochastic signals, ...etc. 4) On top of the subject matter, the training for academic analysis of this subject matter (one of those is to derive a lot of things from first principle) also helps me to sharpen my thought process to be more precise and thorough. 5) I have a much deeper understanding on subject matter. On the flip side of it, if you do not have strong signal/system, basic DSP background, be prepared to spend much more time in this class if you want to learn it well.
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9/10 starsCompleted
3 years, 9 months ago
I had taken DSP course many years ago as a grad student. I recently took the beta trial run of this course. The topics are well chosen as well presented, and lots of effort was put into developing the online course. There was even graphic editing tool for entering signal flow graph developed just for this suppose! It refreshed my knowledge and deepens my understanding in some topics. I also learned some new topics. The videos are live recordings of lectures, and there are occasional errors which are expected. The graphic editor for flow-graph can also be frustrating to use at times.But for the price, it is a steal.
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10/10 starsCompleted
3 years, 12 months ago
For me Dr. Oppenheim is God! I learnt many many concepts from his celebrated texts. I owe my life to him. I am looking forward to listen and see his live lectures. What a privilege for students like me!
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bilgin kahraman profile image
bilgin kahraman profile image

bilgin kahraman

1/10 starsTaking Now
3 years ago
I can not enroll this course therefore I am not able to interprent about this course can you suggest me any way to register this course
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