Signals & Systems — Complete Revision Notes
1. Signal Classifications & Properties
Energy, Power & Symmetry
- Energy Signal: $E = \int_{-\infty}^{\infty} |x(t)|^2 dt < \infty \implies P = 0$.
- Power Signal: $P = \lim_{T\to\infty} \frac{1}{T}\int_{-T/2}^{T/2} |x(t)|^2 dt > 0 \implies E = \infty$.
- Power of $A\cos(\omega_0 t + \theta)$ or $A\sin(\omega_0 t + \theta)$ is $\frac{A^2}{2}$; Power of $A e^{j\omega_0 t}$ is $A^2$.
- Even / Odd Decompositions: $x_e(t) = \frac{x(t)+x(-t)}{2}$, $x_o(t) = \frac{x(t)-x(-t)}{2}$. Orthogonality: $\int_{-\infty}^{\infty} x_e(t)x_o(t) dt = 0$.
2. LTI Systems & Convolution
Continuous & Discrete Convolution
$$y(t) = x(t) * h(t) = \int_{-\infty}^{\infty} x(\tau)h(t-\tau)d\tau$$
- Area Property: $\text{Area}(y) = \text{Area}(x) \times \text{Area}(h)$
- Width Property: $\text{Width}(y) = \text{Width}(x) + \text{Width}(h)$
- Rectangular Convolution: $\text{rect}(t/T_1) * \text{rect}(t/T_2) = \text{Trapezoid}$ ($T_1 \neq T_2$) or $\text{Triangle}$ ($T_1 = T_2$).
- BIBO Stability: Continuous: $\int_{-\infty}^{\infty} |h(t)| dt < \infty$; Discrete: $\sum_{n=-\infty}^{\infty} |h[n]| < \infty$.
Question: Find the output $y(t) = u(t-2) * (t u(t))$.
Derivation using Laplace Transform:
1. By Laplace Convolution property: $\mathcal{L}\{x(t)*h(t)\} = X(s)H(s)$.
2. $\mathcal{L}\{u(t-2)\} = \frac{e^{-2s}}{s}$, $\quad \mathcal{L}\{t u(t)\} = \frac{1}{s^2}$.
3. $Y(s) = \frac{e^{-2s}}{s^3}$.
4. Since $\mathcal{L}^{-1}\left\{\frac{1}{s^3}\right\} = \frac{t^2}{2}u(t)$, time shifting gives:
$$y(t) = \frac{(t-2)^2}{2}u(t-2)$$
3. Laplace Transform & ROC Stability
Region of Convergence (ROC) Golden Rules
- ROC never contains any poles!
- Right-sided signal $\implies \text{Re}(s) > \sigma_{max}$ (Right of rightmost pole).
- Left-sided signal $\implies \text{Re}(s) < \sigma_{min}$ (Left of leftmost pole).
- BIBO Stable $\iff$ The $j\omega$-axis is contained inside the ROC.
- Causal & BIBO Stable $\iff$ All poles lie strictly in the Left Half of $s$-plane (LHP).
4. Sampling Theorem & Nyquist Rate
• If $x(t) = \text{sinc}(100t) \implies \omega_m = 100\pi \implies f_m = 50\text{ Hz} \implies f_s = 100\text{ Hz}$.
• If $x(t) = \text{sinc}^2(100t) = \text{sinc}(100t)\cdot\text{sinc}(100t) \implies f_m = 50 + 50 = 100\text{ Hz} \implies f_s = 200\text{ Hz}$.
Other GATE ECE Revision Notes
Engineering Mathematics →
Linear Algebra, Calculus, Euler-Cauchy ODEs, Complex Variables, Probability & Statistics
Network Theory →
Thevenin, Norton, Max Power, Transient Step Response, AC Resonance, Two-Port Matrices
Communication Systems →
AM, FM, Carson's Rule, PCM Quantization SNR, BPSK, QPSK, Shannon Channel Capacity
Analog Circuits →
Diodes, Small-Signal BJT & MOSFET, Op-Amp Virtual Ground, Active Filters, Oscillators
Control Systems →
Mason's Gain, 2nd Order Transient Specs, Routh-Hurwitz, Root Locus, Bode & Nyquist
Digital Circuits →
K-Maps, MUX, Decoders, Flip-Flops, Synchronous Counters, FSM Mealy/Moore, ADC/DAC
Electromagnetics →
Maxwell's Equations, Plane Wave Reflection, Transmission Lines, Smith Chart, Waveguides
General Aptitude →
Numerical Reasoning, Spatial Reasoning, Speed-Distance, Permutations, Probability