00:06 Periodic and Non Periodic Signals Definition
02:33 Check whether the following signals are periodic and Non Periodic x(t) = cos 100πt + sin 50πt
07:22 x(n) = 3 + cos (π/2 n) + cos 2n
11:27 x(t) = cost + sin √2t
15:02 x(n) = sin3n
17:18 x(n) = e^j(π/4)n
20:52 x(n) = cos (πn/5) sin (πn/3)
UNIT I CLASSIFICATION OF SIGNALS AND SYSTEMS EC3354 Signals and Systems
Standard signals- Step, Ramp, Pulse, Impulse, Real and complex exponentials and Sinusoids Classification of signals - Continuous time (CT) and Discrete Time (DT) signals, Periodic & Aperiodic signals, Deterministic & Random signals, Energy & Power signals - Systems - CT systems and DT systems- - Linear & Nonlinear, Time-variant& Time-invariant,Causal & Non-causal, Stable & Unstable.
UNIT II ANALYSIS OF CONTINUOUS TIME SIGNALS EC3354 Signals and Systems
Fourier series for periodic signals - Fourier Transform - properties- Laplace Transforms and Properties
UNIT III LINEAR TIME INVARIANT CONTINUOUS TIME SYSTEMS EC3354 Signals and Systems
Impulse response - convolution integrals- Differential Equation- Fourier and Laplace transforms in Analysis of CT systems - Systems connected in series / parallel.
UNIT IV ANALYSIS OF DISCRETE TIME SIGNALS EC3354 Signals and Systems
Baseband signal Sampling-Fourier Transform of discrete time signals (DTFT)- Properties of DTFT - Z Transform & Properties
UNIT V LINEAR TIME INVARIANT-DISCRETE TIME SYSTEMS EC3354 Signals and Systems
Impulse response-Difference equations-Convolution sum- Discrete Fourier Transform and Z Transform Analysis of Recursive & Non-Recursive systems-DT systems connected in series and parallel.
• Signals and Systems in...
11 окт 2024