1. 1 Introduction o Classification of signals 3. Sampled-data signal--a discrete-time signal with a continuous-valued amplitude 4. Quantized boxcar signal-A continuous-time signal with discrete-valued amplitudes represented by a finite number of digits
1.1 Introduction ⚫ Classification of signals 3. Sampled-data signal--A discrete-time signal with a continuous-valued amplitude. 4. Quantized boxcar signal—A continuous-time signal with discrete-valued amplitudes represented by a finite number of digits
Timet Time. t Time, t · Figure 1.1:(a)A cvntinuous-time signal, (b) a digital signal, (c)a sampled-data signal, and(d)a quantized boxcar
1. 1 Introduction a Note: A continuous-time signal is defined at every instant of time. On the other hand, a discrete-time signal takes certain numerical values at specified discrete instants of time and between these specified instants of time the signal is not defined
1.1 Introduction Note: A continuous-time signal is defined at every instant of time. On the other hand, a discrete-time signal takes certain numerical values at specified discrete instants of time, and between these specified instants of time, the signal is not defined
1.1 Introduction o Classification of signals Depending on the number of independent variable, the signal can be classified as a one-dimensional signal(speech a two-dimensional signal (image) a multidimensional signal(video)
1.1 Introduction ◆ Depending on the number of independent variable, the signal can be classified as one-dimensional signal (speech) two-dimensional signal (image) multidimensional signal (video) ⚫ Classification of signals
1. 1 Introduce Classification of Signals Another classification of signals that depends on the certainty by which the signal can be uniquely describe a Deterministic signal a Random Signal
1.1 Introduce ◆ Another classification of signals that depends on the certainty by which the signal can be uniquely described. Deterministic signal Random signal ◼ Classification of Signals