Discrete time views values of variables as occurring at distinct, separate "points in time", or equivalently as being unchanged throughout each non-zero region of time ("time period")—that is, time is viewed as a discrete variable. Thus a non-time variable jumps from one value to another as time moves from one time period to the next. This view of time corresponds to a digital clock that gives a fixed reading of 10:37 for a while, and then jumps to a new fixed reading of 10:38, etc. In this framework, each variable of interest is measured once at each time period. The number of measurements between any two time periods is finite. Measurements are typically made at sequential integer values of the variable "time".
Lecture 01: Introduction
31mLecture 02: Discrete Time Signals and Systems
29mLecture 03: Linear, Shift Invariant Systems?
34mLecture 04 : Properties of Discrete Convolution Causal and Stable Systems?
32mLecture 05: Graphical Evaluation of Discrete Convolutions
26mLecture 06: Discrete Time Fourier Transform?
31mLecture 07: Properties of DTFT
29mLecture 08: Dirac Comb and Sampling Analog Signals?
29mLecture 09: Relation between DTFT and Analog Fourier Transform?
27mLecture 10: Nyquist Interpolation Formula
27mLecture 11: Rational Systems
26mLecture 12: Properties of Rational Systems
32mLecture 13: Introduction to Z-transform
28mLecture 14: Properties of Z-transform
31mLecture 15: Properties of z-transform
31mLecture 16: Inverse z-transform
42mLecture 17:Introduction to DFT
34mLecture 18: Properties of DFT
33mLecture 19:Introduction to Interpretation of Circular Convolution
32mLecture 20: Graphically Interpretation of Circular Convolution
27mLecture 21: Zero Padding and Linear convolution Via DFT
37mLecture 22: Decimation and DFT of Decimated Sequences
28mLecture 23: Expension and Interpolation of Sequences
29mLecture 24: Factor-of-M Polyphase Decomposition of Sequences
38mLecture 25: Nobel Identifies
35mLecture 26: Efficient Decimator and Interpolator Structure
35mLecture 27: Linear Phase Filters
31mLecture 28: Properties of Linear Phase Filters
33mLecture 29: Structures for IIR Filters
29mLecture 30: Structures for FIR Filters
32mLecture 31: Analog LTI Systems, Fourier and Laplace Transforms
32mLecture 32: Pole, Zero and Stability of of Analog Filters
29mLecture 33: Analog Filter Design Example Butterworth Lowpass Filter
30mLecture 34: IIR Filter Design by Implus Invariance Method
32mLecture 35: Design Filter Design from Analog Proptotype Filters by s - z Transformations
29mLecture 36: Bilinear Transformation
29mLecture 37: FIR Filter Design by Window
32mLecture 38: FFT: Decimation in Time
28mLecture 39: Complexity Analysis of FFT
29mLecture 40: Bit Reversal and FFT
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