IT6502 DSP 2marks-16marks

Anna University Regulation 2013 Computer Science & Engineering (CSE) IT6502 DSP 2marks & 16marks for all 5 units are provided below. Download link for CSE 6th SEM IT6502 DIGITAL SIGNAL PROCESSING Short answers, Question Bank are listed down for students to make perfect utilization and score maximum marks with our study materials.

IT6502 DIGITAL SIGNAL PROCESSING QUESTION BANK UNIT-I 2-marks
1. What is a continuous and discrete time signal?
Continuous time signal: A signal x(t) is said to be continuous if it is defined for all time t. Continuous time signal arise naturally when a physical waveform such as acoustics wave or light wave is converted into a electrical signal.
Discrete time signal: A discrete time signal is defined only at discrete instants of time. The independent variable has discrete values only, which are uniformly spaced. A discrete time signal is often derived from the continuous time signal by sampling it at a uniform rate.
2. Give the classification of signals?
x Continuous-time and discrete time signals x Even and odd signals x Periodic signals and non-periodic signals x Deterministic signal and Random signal x Energy and Power signal
3. What are the types of systems?
Continuous time and discrete time systems x Linear and Non-linear systems x Causal and Non-causal systems x Static and Dynamic systems x Time varying and time in-varying systems x Distributive parameters and Lumped parameters systems x Stable and Un-stable systems.
4. What are even and odd signals?
Even signal: continuous time signal x(t) is said to be even if it satisfies the condition x(t)=x(-t) for all values of t.
Odd signal: he signal x(t) is said to be odd if it satisfies the condition x(-t)=-x(t) for all t.
In other words even signal is symmetric about the time origin or the vertical axis, but odd signals are anti-symmetric about the vertical axis.

5. What are deterministic and random signals?
Deterministic Signal: deterministic signal is a signal about which there is no certainty with respect to its value at any time. Accordingly, we find that deterministic signals may be modeled as completely specified functions of time. Random signal: random signal is a signal about which there is uncertainty before its actual occurrence. (e.g.) The noise developed in a television or radio amplifier is an example for random signal.
6. What are energy and power signal?
Energy signal: Signal is referred as an energy signal, if and only if the total energy of the signal satisfies the condition 0
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