Processing math: 96%

DSP - Classification of DT Signals


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Just like Continuous time signals, Discrete time signals can be classified according to the conditions or operations on the signals.

Even and Odd Signals

Even Signal

A signal is said to be even or symmetric if it satisfies the following condition;

x(n)=x(n) DT Even Signal

Here, we can see that x1 = x1, x2 = x2 and xn = xn. Thus, it is an even signal.

Odd Signal

A signal is said to be odd if it satisfies the following condition;

x(n)=x(n) DT Odd Signal

From the figure, we can see that x1 = -x1, x2 = -x2 and xn = -xn. Hence, it is an odd as well as anti-symmetric signal.

Periodic and Non-Periodic Signals

A discrete time signal is periodic if and only if, it satisfies the following condition −

x(n+N)=x(n)

Here, xn signal repeats itself after N period. This can be best understood by considering a cosine signal −

x(n)=Acos(2πf0n+θ) x(n+N)=Acos(2πf0(n+N)+θ)=Acos(2πf0n+2πf0N+θ) =Acos(2πf0n+2πf0N+θ)

For the signal to become periodic, following condition should be satisfied;

x(n+N)=x(n) Acos(2πf0n+2πf0N+θ)=Acos(2πf0n+θ)

i.e. 2πf0N is an integral multiple of 2π

2πf0N=2πK N=Kf0

Frequencies of discrete sinusoidal signals are separated by integral multiple of 2π.

Energy and Power Signals

Energy Signal

Energy of a discrete time signal is denoted as E. Mathematically, it can be written as;

E=+n=|x(n)|2

If each individual values of x(n) are squared and added, we get the energy signal. Here x(n) is the energy signal and its energy is finite over time i.e 0<E<

Power Signal

Average power of a discrete signal is represented as P. Mathematically, this can be written as;

P=lim

Here, power is finite i.e. 0<P<∞. However, there are some signals, which belong to neither energy nor power type signal.