Overflow error – Roundoff noise power – limit cycle oscillations due to product round off and overflow errors – signal scaling UNIT -VI: Multirate Signal Processing UNIT -I: Discrete Fourier TransformĭFT and its properties, Relation between DTFT and DFT, FFT computations using Decimation in time and Decimation in frequency algorithms, Overlap-add and save methods UNIT -IIįixed point and floating-point number representations – Comparison – Truncation and Rounding errors – Quantization noise – derivation for quantization noise power – coefficient quantization error – Product quantization error – UNIT -V
To study the fundamentals of digital signal processors. To study the non-parametric methods of power spectrum estimations. Study the finite word length effects in signal processing. To study the design techniques for digital filters. Johnson, Introduction to Digital Signal Processing, PHI, 2006.ĭigital Signal Processing Syllabus- B.Tech Elective Subject P.P.Vaidyanathan, Multirate Systems & Filter Banks, Prentice-Hall, Englewood Cliffs, NJ, 1993. Mitra, Digital Signal Processing, A Computer Based approach, Tata Mc GrawHill, 1998. Jervis, ” Digital signal processing – A practical approach”, Second edition, Pearson, 2002. Gnanapriya, Digital Signal Processing, TMH/McGraw HillInternational, 2007 John G Proakis and Manolakis, “Digital Signal Processing Principles, Algorithms and Applications”, Pearson, Fourth Edition, 2007. Baran, 6.341x Discrete-Time Signal Processing, on edX, Summer 2016.List of Reference Books for Digital Signal Processing Automatic grading of your answers to these problems as well as solutions will be provided.Ħ.341x and this freely-available version were developed through the support and encouragement of the MIT Department of Electrical Engineering and Computer Science, the MIT Office of Digital Learning, and the MIT Research Laboratory of Electronics. 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. The video segments are adapted from live video recordings of the MIT residential course.Įach 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. The course text is the widely used text by Oppenheim and Schafer (third edition). 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. 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.Ħ.341x is organized around eleven units each typically consisting of a set of two to four topics. An in-depth development of the DFT and its computation as well as its use for spectral analysis and for filtering is presented. Parametric signal modeling and the efficient implementation of DT multirate and sampling rate conversion systems are discussed and developed. The course develops flow-graph and block diagram structures including lattice filters for implementing DT systems, and techniques for the design of DT filters. 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. 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.
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