Amplitude modulation
Conventional AM with carrier: s(t) = Ac[1 + m(t)]cos(2πfct). The modulation index must satisfy |m(t)| ≤ 1 to avoid envelope distortion. DSB-SC eliminates the carrier, doubling power efficiency but requiring coherent detection. The bandwidth of AM is twice the message bandwidth.
Check yourself: Is the modulation index within [0, 1] for envelope detection to work?
Frequency and phase modulation
FM instantaneous frequency deviates proportionally to the message amplitude. The frequency deviation Δf = kf × max|m(t)|. Carson's rule approximates FM bandwidth as 2(Δf + fm). Narrowband FM has β ≪ 1 and bandwidth ≈ 2fm; wideband FM has β ≫ 1.
Check yourself: Is the modulation index β = Δf/fm narrow-band or wide-band?
Sampling and quantization
The Nyquist rate is twice the maximum signal frequency: fs ≥ 2fmax avoids aliasing for band-limited signals. Quantization with L levels uses ⌈log₂L⌉ bits per sample. Uniform quantization step size Δ = (Vmax − Vmin)/L. Quantization noise power for uniform quantization is Δ²/12.
Check yourself: Is the sampling rate above the Nyquist rate for the actual signal bandwidth?
Digital modulation and error probability
BPSK and QPSK have the same bit error rate: Q(√(2Eb/N0)). QPSK transmits two bits per symbol at the same bandwidth as BPSK. Higher-order QAM increases spectral efficiency but requires higher SNR for the same error rate. Matched filtering maximizes output SNR.
Check yourself: Are you comparing Eb/N0 (per bit) or Es/N0 (per symbol)?
Information theory fundamentals
Shannon's channel capacity C = B log₂(1 + SNR) gives the theoretical maximum error-free bit rate for an AWGN channel with bandwidth B. Entropy H(X) = −Σ p(x)log₂p(x) measures uncertainty. Source coding compresses to the entropy limit; channel coding adds redundancy for error protection.
Check yourself: Is the SNR in linear scale (not dB) when substituting into the capacity formula?