EC320 Digital Signal Processing (August to November 2009)
Lecture map for classes 1 to 8
Instructor: Dr. K. Karthik
Lecture 1: Introduction to Digital Signal processing
Defining signals as a manifestation of some complex process. Signals cannot exist in i
Lecture 26: FIR filter design by windowing (continued)
Truncation by a rectangular window
Let wR [ n] be the rectangular window, which has been used for truncating the ideal response hd [n] .
i.e. ht [ n] = hd [ n] wR [ n] ,
where,
LnL
otherwise
1
wR [n]
EC320 Digital Signal Processing (August to November 2009)
Lecture map for classes 22, 23
Instructor: Dr. K. Karthik
Lecture 22: Introduction to digital filters (realizability of ideal lowpass filters)
When an LTI system with an impulse response h[ n] is s
EC320 Digital Signal Processing (August to November 2009)
Lecture map for classes 24, 25
Instructor: Dr. K. Karthik
Lecture 24: a) Filter design techniques
b) Linear phase FIR filters
Filter design techniques can be split into two categories:
1. Design of
EC320 Digital Signal Processing (August to November 2009)
Lecture map for classes 9 to 12
Instructor: Dr. K. Karthik
Lecture 9: Difference equation representation.
a) Piecewise response of the overall system.
b) Stability and Causality issues. Eigenvalues
EC320 Digital Signal Processing (August to November 2009)
Lecture map for classes 18 to 20
Instructor: Dr. K. Karthik
Lecture 18: Digital filters from a different perspective
a) Process of filtering random signals
As per the conventional view, filters are
EC320 Digital Signal Processing (August to November 2009)
Lecture map for classes 13 to 14
Instructor: Dr. K. Karthik
Lecture 13: a) Digital Resonator
b) Conversion of a resonator to an Oscillator
The system function of an arbitrary digital resonator is g
Lectures 27 and 28: FIR design by frequency sampling
In this type of approach, the frequency response specifications of the desired filter are given as samples in
the frequency domain.
Let h[ n] be the impulse response of the approximated FIR filter. We k
EC320 Digital Signal Processing (August to November 2009)
Lecture map for classes 15 to 17
Instructor: Dr. K. Karthik
Lecture 15: Invertibility of LTI systems
An LTI system is said to be invertible if there is a one-to-one correspondence between the input