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[digital signal processing] discrete time signal (discrete time signal knowledge points | signal definition | signal classification | classification according to certainty | classification according t
2022-06-27 14:47:00 【Hanshuliang】
List of articles
- One 、 Main knowledge points of discrete-time signals
- Two 、 Signal profile
- 1、 Signal definition
- 2、 Signal classification
- (1) Classify according to whether the signal value is determined ( Deterministic signals | Random signals )
- (2) Classify according to signal periodicity ( Periodic signal | Aperiodic signal )
- (3) Classify according to signal discreteness ( Discrete time signals | Continuous time signal )
- (4) Classify according to signal energy ( Energy signal | Power signal )
One 、 Main knowledge points of discrete-time signals
Discrete time signals Basic signal sequence yes Periodic sequence ;
Discrete time signals Of Time domain analysis :
- LTI ( Linear and Time-invariant System ) Linear systems are invariant
- Discrete time systems Input And Output Relationship
- from Time domain angle Judge Causal stability
- Constant coefficient difference equation
Discrete time signals Of Correlation function :
- Correlation function Definition
- Correlation function And linear convolution Relationship
- Correlation function application
Two 、 Signal profile
1、 Signal definition
The signal yes The carrier of information , from Mathematical angle see , Can be regarded as With A number of Physical parameters change and change Of function ;
The signal f ( t ) f(t) f(t) , The argument is t t t It can be Time , distance , temperature , weight And so on ;
stay Discrete time signal system in , The independent variable of the signal generally defaults to Time t t t ;
2、 Signal classification
(1) Classify according to whether the signal value is determined ( Deterministic signals | Random signals )
① Deterministic signals : The value of the signal at a certain time is certain ; Such as : Sine wave , Sawtooth wave The signal ;
② Random signals : The signal value is random ; Such as : Noise signal ;

(2) Classify according to signal periodicity ( Periodic signal | Aperiodic signal )
Periodic signal : The signal has a periodic pattern , Such as : Sine wave signal ;
Aperiodic signal : The signal has no periodic regularity , Such as : Noise signal ;
(3) Classify according to signal discreteness ( Discrete time signals | Continuous time signal )
Discrete time signals : digital signal ;
Continuous time signal : analog signal ;
(4) Classify according to signal energy ( Energy signal | Power signal )
Energy definition of signal : The energy on the whole axis is squared first , And then integral ;
Signal power definition : In one signal cycle , Perform integral summation operation ;
If energy Less than infinite , Then the signal yes Energy signal ; A signal in a finite interval is called an energy signal ;
If power Less than infinity , Then the signal yes Power signal ; Periodic signal , Random signals Power signal ;
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