2 Assessing time varying signals Flashcards
- Signal processing - time series - periodic signal - discrete sinusoid - paramers of sinusoid
Why digital signal processing?
- digital equipment is more flexible
(reprogrammable equipment can be customized)
- digital equipment is more reliable
(no drift of electronic components in varying environment)
- detection of signals
(for example a carrier wave)
- coding and decoding of information
(for example in mobile phone communication)
What is a time series?
A time series is defined as a signal which is a function of time x(t)
- x: measurement variable / often in V
- t: time / s
- TS or Δt or : sampling time interval / s
- T: total time interval of the measurements / s
Parameters required for a time series?
Two parameters need to be chosen, typically
- sampling time interval Ts = Δt = tn+1 - tn
- total time interval of the measurements T
Standard fixed time series parameters?
- sampling frequency fs = 1/Δt
- total number of samples N = T/Δt
- discrete time tn = n Δt , where n = 0, 1, 2, … N-1
What is a signal?
A signal is defined as that part of a time series which is wanted
What is noise?
Noise is defined as that part of a time series which is unwanted
A periodic signal is characterized by …
- f: frequency of the signal / Hz
- TP = 1/f: period of the signal / s
What is a discrete sinusoid?
A discrete sinusoid is defined as a periodic harmonic signal.
The three parameters that characterise a discrete sinusoid?
A discrete sinusoid is characterised by three parameters:
- Amplitude of the sinusoid / often in V
- frequency of the sinusoid / Hz
- Φ: phase of the sinusoid / rad or deg
Amplitude, period, frequency and phase of a signal?
- The amplitude A is half the peak-to-peak value of the signal
- The period TP is the time after which the signal repeats
- The frequency f of the signal is the inverse of its period TP
- The phase Φ of the signal describes the relative start time
Discrete sinusoids are described by the cosine function?