Sinusoidal periodic
Show sinusoid in both time and frequency domains
Complex Periodic
Can be defined mathematically by time-varying function and repeats exactly at regular intervals. Show half circle, triangle, square, multi-component sine. With few exeptions, complex periodic data can be expanded into Fourier Series:
X(t) = a0/2 + sum [ an cos(2 pi n f1 t) + bn sin(2 pi n f1 t) ]
Or
X(t) = X0 + sum [ Xn cos(2 pi n f1 t - pn) ]
This means that complex periodic data consists of a static component X0 and an infinite number of sinusoidal components called harmonics. The harmonic frequencies are all integral multiples of f1. Example: Voice.
Almost Periodic.
When the ratio of frequencies in a signal comprising two or more sine waves do not form rational numbers, the fundamental period is infinitely long.
Transients
Sinusoidal periodic
Show sinusoid in both time and frequency domains
Complex Periodic
Can be defined mathematically by time-varying function and repeats exactly at regular intervals. Show half circle, triangle, square, multi-component sine. With few exeptions, complex periodic data can be expanded into Fourier Series:
X(t) = a0/2 + sum [ an cos(2 pi n f1 t) + bn sin(2 pi n f1 t) ]
Or
X(t) = X0 + sum [ Xn cos(2 pi n f1 t - pn) ]
This means that complex periodic data consists of a static component X0 and an infinite number of sinusoidal components called harmonics. The harmonic frequencies are all integral multiples of f1. Example: Voice.
Almost Periodic.
When the ratio of frequencies in a signal comprising two or more sine waves do not form rational numbers, the fundamental period is infinitely long.
Transients
Sinusoidal periodic
Show sinusoid in both time and frequency domains
Complex Periodic
Can be defined mathematically by time-varying function and repeats exactly at regular intervals. Show half circle, triangle, square, multi-component sine. With few exeptions, complex periodic data can be expanded into Fourier Series:
X(t) = a0/2 + sum [ an cos(2 pi n f1 t) + bn sin(2 pi n f1 t) ]
Or
X(t) = X0 + sum [ Xn cos(2 pi n f1 t - pn) ]
This means that complex periodic data consists of a static component X0 and an infinite number of sinusoidal components called harmonics. The harmonic frequencies are all integral multiples of f1. Example: Voice.
Almost Periodic.
When the ratio of frequencies in a signal comprising two or more sine waves do not form rational numbers, the fundamental period is infinitely long.
Transients
Sinusoidal periodic
Show sinusoid in both time and frequency domains
Complex Periodic
Can be defined mathematically by time-varying function and repeats exactly at regular intervals. Show half circle, triangle, square, multi-component sine. With few exeptions, complex periodic data can be expanded into Fourier Series:
X(t) = a0/2 + sum [ an cos(2 pi n f1 t) + bn sin(2 pi n f1 t) ]
Or
X(t) = X0 + sum [ Xn cos(2 pi n f1 t - pn) ]
This means that complex periodic data consists of a static component X0 and an infinite number of sinusoidal components called harmonics. The harmonic frequencies are all integral multiples of f1. Example: Voice.
Almost Periodic.
When the ratio of frequencies in a signal comprising two or more sine waves do not form rational numbers, the fundamental period is infinitely long.
Transients