Vectors and discrete time signals

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SUMMARY

A discrete time signal can be represented as a vector in MATLAB, where amplitudes are stored in matrices. This representation does not imply that the signal is inherently a vector; rather, it is a method of handling data within MATLAB. A vector can be defined in two ways: by specifying a starting point, angle, and magnitude, or by using multiples of unit vectors. In the context of discrete time signals, the dimensionality is defined by the range (0-n), indicating that the signal can be viewed as an n-dimensional vector.

PREREQUISITES
  • Understanding of discrete time signals
  • Familiarity with MATLAB matrix operations
  • Knowledge of vector definitions in mathematics
  • Basic concepts of dimensionality in signal processing
NEXT STEPS
  • Explore MATLAB's handling of discrete time signals and matrices
  • Learn about vector representation in signal processing
  • Investigate the concept of dimensionality in discrete signals
  • Study the mathematical definitions of vectors and their applications
USEFUL FOR

Students and professionals in signal processing, MATLAB users, and anyone interested in understanding the mathematical representation of discrete time signals.

janu203
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How can a discrete time signal can be a vector? i cannot grasp the idea.
i know MATLAB uses matrices which denote vectors, but how does a discrete time varying amplitudes be a vector?
 
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I think you might be confusing the issue here?
Just because MATLAB is storing the amplitudes inside of a matrix doesn't imply that it is a vector its just how MATLAB handles things.
Remember if you wanted to look at a continuous time signal in MATLAB you still need to define the step size matrix and go from there.

But on the other hand think of it this way there are 2 ways to define a vector.
1st a starting point, an angle and a magnitude.
2nd multiples of the unit vectors

So when you define any point (x,y) you're defining the vector to that point no?
 
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i just read that a discrete time signal from (0-n) has n dimensionality
 

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