- DSP - Miscellaneous Signals
- DSP - Classification of DT Signals
- DSP - Classification of CT Signals
- DSP - Basic DT Signals
- DSP - Basic CT Signals
- DSP - Signals-Definition
- DSP - Home
Operations on Signals
- Operations Signals - Convolution
- Operations Signals - Integration
- Operations Signals - Differentiation
- Operations Signals - Reversal
- Operations Signals - Scaling
- Operations Signals - Shifting
Basic System Properties
- DSP - Solved Examples
- DSP - Unstable Systems
- DSP - Stable Systems
- DSP - Time-Variant Systems
- DSP - Time-Invariant Systems
- DSP - Non-Linear Systems
- DSP - Linear Systems
- DSP - Anti-Causal Systems
- DSP - Non-Causal Systems
- DSP - Causal Systems
- DSP - Dynamic Systems
- DSP - Static Systems
Z-Transform
- Z-Transform - Solved Examples
- Z-Transform - Inverse
- Z-Transform - Existence
- Z-Transform - Properties
- Z-Transform - Introduction
Discrete Fourier Transform
- DFT - Solved Examples
- DFT - Discrete Cosine Transform
- DFT - Sectional Convolution
- DFT - Linear Filtering
- DTF - Circular Convolution
- DFT - Time Frequency Transform
- DFT - Introduction
Fast Fourier Transform
Digital Signal Processing Resources
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DSP - Miscellaneous Signals
There are other signals, which are a result of operation performed on them. Some common type of signals are discussed below.
Conjugate Signals
Signals, which satisfies the condition $x(t) = x*(-t)$ are called conjugate signals.
Let $x(t) = a(t)+jb(t)$...eqn. 1
So, $x(-t) = a(-t)+jb(-t)$
And $x*(-t) = a(-t)-jb(-t)$...eqn. 2
By Condition, $x(t) = x*(-t)$
If we compare both the derived equations 1 and 2, we can see that the real part is even, whereas the imaginary part is odd. This is the condition for a signal to be a conjugate type.
Conjugate Anti-Symmetric Signals
Signals, which satisfy the condition $x(t) = -x*(-t)$ are called conjugate anti-symmetric signal
Let $x(t) = a(t)+jb(t)$...eqn. 1
So $x(-t) = a(-t)+jb(-t)$
And $x*(-t) = a(-t)-jb(-t)$
$-x*(-t) = -a(-t)+jb(-t)$...eqn. 2
By Condition $x(t) = -x*(-t)$
Now, again compare, both the equations just as we did for conjugate signals. Here, we will find that the real part is odd and the imaginary part is even. This is the condition for a signal to become conjugate anti-symmetric type.
Example
Let the signal given be $x(t) = sin t+jt^{2}$.
Here, the real part being $sin t$ is odd and the imaginary part being $t^2$ is even. So, this signal can be classified as conjugate anti-symmetric signal.
Any function can be spanided into two parts. One part being Conjugate symmetry and other part being conjugate anti-symmetric. So any signal x(t) can be written as
$$x(t) = xcs(t)+xcas(t)$$Where $xcs(t)$ is conjugate symmetric signal and $xcas(t)$ is conjugate anti symmetric signal
$$xcs(t) = frac{[x(t)+x*(-t)]}{2}$$And
$$xcas(t) = frac{[x(t)-x*(-t)]}{2}$$Half Wave Symmetric Signals
When a signal satisfies the condition $cx(t) = -x(tpm (frac{T_{0}}{2}))$, it is called half wave symmetric signal. Here, ampptude reversal and time shifting of the signal takes place by half time. For half wave symmetric signal, average value will be zero but this is not the case when the situation is reversed.
![Half Wave Symmetric Signals](/digital_signal_processing/images/half_wave_symmetric_signals.jpg)
Consider a signal x(t) as shown in figure A above. The first step is to time shift the signal and make it $x[t-(frac{T}{2})]$. So, the new signal is changed as shown in figure B. Next, we reverse the ampptude of the signal, i.e. make it $-x[t-(frac{T}{2})]$ as shown in figure C. Since, this signal repeats itself after half-time shifting and reversal of ampptude, it is a half wave symmetric signal.
Orthogonal Signal
Two signals x(t) and y(t) are said to be orthogonal if they satisfy the following two conditions.
Condition 1 − $int_{-infty}^{infty}x(t)y(t) = 0$ [for non-periodic signal]
Condition 2 − $int x(t)y(t) = 0$ [For periodic Signal]
The signals, which contain odd harmonics (3rd, 5th, 7th ...etc.) and have different frequencies, are mutually orthogonal to each other.
In trigonometric type signals, sine functions and cosine functions are also orthogonal to each other; provided, they have same frequency and are in same phase. In the same manner DC (Direct current signals) and sinusoidal signals are also orthogonal to each other. If x(t) and y(t) are two orthogonal signals and $z(t) = x(t)+y(t)$ then the power and energy of z(t) can be written as ;
$$P(z) = p(x)+p(y)$$ $$E(z) = E(x)+E(y)$$Example
Analyze the signal: $z(t) = 3+4sin(2pi t+30^0)$
Here, the signal comprises of a DC signal (3) and one sine function. So, by property this signal is an orthogonal signal and the two sub-signals in it are mutually orthogonal to each other.
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