NOC:Digital Signal Processing


Lecture 1 - Signal Definition and Classification


Lecture 2 - Affine Transform


Lecture 3 - Recap of Affine Transform


Lecture 4 - Even and Odd Parts of a Signal


Lecture 5 - The Unit Step Sequence


Lecture 6 - The Unit Impulse


Lecture 7 - The Unit Impulse (Continued...)


Lecture 8 - Exponential Signals and Sinusoids


Lecture 9 - Sinusoids (Continued...)


Lecture 10 - When are two sinusoids independent?


Lecture 11 - Another Difference Between CT and DT Sinusoids


Lecture 12 - System definition and properties (linearity)


Lecture 13 - Time-invariance, memory, causality, and stability


Lecture 14 - LTI systems, impulse response, and convolution


Lecture 15 - Properties of convolution, system interconnections


Lecture 16 - Java applet demo of convolution


Lecture 17 - Systems governed by LCCDE


Lecture 18 - FIR and IIR systems


Lecture 19 - Karplus-Strong algorithm


Lecture 20 - Z-transform definition and RoC


Lecture 21 - Z-transform (Continued...)


Lecture 22 - Poles and zeros


Lecture 23 - Recursive implementation of FIR filters


Lecture 24 - Convergence criterion


Lecture 25 - Properties of the RoC


Lecture 26 - DTFT definition and absolute summability


Lecture 27 - Linearity


Lecture 28 - Delay


Lecture 29 - Exponential multiplication


Lecture 30 - Complex conjugation


Lecture 31 - Time reversal


Lecture 32 - Differentiation in the Z-domain


Lecture 33 - Convolution in the time domain


Lecture 34 - Relationship between x[n] and X(1)


Lecture 35 - Initial Value Theorem


Lecture 36 - Final Value Theorem


Lecture 37 - Multiplication in the time domain


Lecture 38 - Parseval's Theorem


Lecture 39 - Partial Fractions Method


Lecture 40 - Power series method


Lecture 41 - Contour Integral Method


Lecture 42 - Contour Integral Method (Continued...)


Lecture 43 - Inverse DTFT


Lecture 44 - DTFT of Sequences that are not absolutely summable


Lecture 45 - Response to cos(?_0 n+?)


Lecture 46 - Causality and Stability


Lecture 47 - Response to suddenly applied inputs


Lecture 48 - Introduction to frequency response


Lecture 49 - Magnitude response and its geometric interpretation


Lecture 50 - Magnitude Response (Continued...)


Lecture 51 - Response of a single complex zero/pole


Lecture 52 - Resonator and Improved Resonator


Lecture 53 - Notch filter


Lecture 54 - Moving Average Filter


Lecture 55 - Comb filter


Lecture 56 - Phase response of a single complex zero


Lecture 57 - Effect of crossing a unit circle zero, wrapped and unwrapped phase, resonator phase response


Lecture 58 - Allpass Filter


Lecture 59 - Group delay and its physical interpretation


Lecture 60 - Zero-phase filtering, effect on nonlinear phase on waveshape


Lecture 61 - Zero-Phase Filtering, Linear Phase - 1


Lecture 62 - Linear Phase - 2


Lecture 63 - Linear Phase - 3


Lecture 64 - Linear Phase - 3


Lecture 65 - Linear Phase - 3


Lecture 66 - Linear Phase - 4, Sampling - 1


Lecture 67 - Linear Phase - 4, Sampling - 1


Lecture 68 - Linear Phase - 4, Sampling - 1


Lecture 69 - Sampling - 2


Lecture 70 - Sampling - 3


Lecture 71 - Sampling - 4


Lecture 72 - Sampling - 4


Lecture 73 - Sampling - 4


Lecture 74 - The Discrete Fourier Transform - 1


Lecture 75 - The Discrete Fourier Transform - 1


Lecture 76 - The Discrete Fourier Transform - 2


Lecture 77 - The Discrete Fourier Transform - 3


Lecture 78 - The Discrete Fourier Transform - 3


Lecture 79 - The Discrete Fourier Transform - 3


Lecture 80 - The Discrete Fourier Transform - 4


Lecture 81 - The Discrete Fourier Transform - 4


Lecture 82 - The Discrete Fourier Transform - 4