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Gaya Bebas
Universiti
Lain-lain
Chapter 1: Introduction to Digital Signal Processing
Iza Sazanita
3
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# 1

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Define the Continuous Time Signal.

  • Defined for every value of time. The signal varies continuously in time and amplitude.
  • Defined only at discrete values of time. The signal take one finite number of value at specific instant of time.
  • Defined as any physical or virtual quantity that varies with time or space, carrying information.

# 2

pilihan

Define a Digital Time Signal.

  • Defined for every value of time. The signal varies continuously in time and amplitude.
  • Defined only at discrete values of time. The signal take one finite number of value at specific instant of time.
  • Defined as a physical or virtual quantity that varies with time or space or other variables.

# 3

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Classification of Discrete Time System: Without Memory / Static

  • If the present output depends only on the present value of the input.
  • If present output depends on the past or the future input

# 4

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Classification of Discrete Time System: With Memory

  • If present output depends on the past or the future input.
  • If the present output depends only on the present value of the input.

# 5

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Classification of Discrete Time System: Causal

  • If the output of the system at any time depends only on present and past inputs.
  • If the system not only depends on present and past inputs but also future input.

# 6

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Classification of Discrete Time System: Non-Causal

  • If the system not only depends on present and past inputs but also future input.
  • If the output of the system at any time depends only on present and past inputs.

# 7

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Classification of discrete time system: Time In-Variant

  • If its input-output characteristics change with time.
  • If its input-output characteristics do not change with time.

# 8

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Classification of discrete time system: Time Variant

  • If its input-output characteristics change with time.
  • If its input-output characteristics do not change with time.

# 9

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Classification of discrete time system: Linear

  • If the system is one that satisfies the superposition principle.
  • If the system is one that does not satisfy the superposition principle.

# 10

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Classification of discrete time system: Non-Linear

  • If a system is one that satisfy the superposition principle.
  • If a system is one that does not satisfy the superposition principle.

# 11

pilihan

Other Classification of discrete time system: Recursive

  • A system whose output y[n] at time n depends on any number of the past outputs values.
  • A system whose output y[n] at time n depends only on the present and past input.

# 12

pilihan

Other Classification of discrete time system: Non - Recursive

  • A system whose output y[n] at time n depends only on the present and past input.
  • A system whose output y[n] at time n depends on any number of the past outputs values.

# 13

pilihan

Other Classification of discrete time system: Stable

  • If a bounded input to the system will produce bounded output (BIBO).
  • The system usually exhibits extreme behavior and cause overflow in any practical implementation.

# 14

pilihan

Other Classification of discrete time system: Unstable

  • A system usually exhibits extreme behavior and cause overflow in any practical implementation.
  • If a bounded input to the system will produce bounded output – BIBO.

# 15

pilihan

Define the sampling process of a continuous-time signal.

  • A process of measuring amplitude of a continuous time signal at a specific interval of time, T resulting in continuous to discrete signal conversion.
  • A process of mapping different ranking levels of amplitudes either a continuous or discrete signal to binary digital signal. (Convert continuous value to discrete value in vertical axis).
Define the sampling process of a continuous-time signal.

# 16

pilihan

Define the quantization process of a discrete time signal

  • A process of mapping different ranking levels of amplitudes either a continuous or discrete signal to binary digital signal. (Convert continuous value to discrete value in vertical axis).
  • A process of measuring amplitude of a continuous time signal at a specific interval of time, T resulting in continuous to discrete signal conversion.
Define the quantization process of a discrete time signal

# 17

pilihan

This system is recursive or non-recursive? Y[k] = Y[k -1] - Y[k -2] + X[k]

  • Recursive. Since the present output is dependent on its previous / past output.
  • Non-Recursive. Since the present output is dependent only on inputs.

# 18

pilihan

This system is recursive or non-recursive? Y[k] = -5X[k -1] - 3X[k -2] + X[k]

  • Non-Recursive. Since the present output is dependent only on inputs.
  • Recursive. Since the present output is dependent on its previous/past output.

# 19

pilihan

Decide whether the discrete time system is memory/without memory and causal/non-causal. y[k] = kx[k +1]

  • with memory + causal
  • without memory + causal
  • with memory + non-causal
  • without memory + non-causal

# 20

pilihan

Decide whether the discrete time system is time-invariant and/or linear. y[k] = kx[k +1]

  • time-invariant only
  • Linear only
  • Time-invariant + Linear
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