Prerequisites & Notation

Before You Begin

This chapter combines linear algebra (Ch. 1), probability (Ch. 2), and optimisation (Ch. 3). The following should be comfortable.

  • Inner products, norms, and orthogonal projections(Review ch01)

    Self-check: Can you compute ⟨f,g⟩=βˆ«βˆ’βˆžβˆžf(t)gβˆ—(t) dt\langle f, g \rangle = \int_{-\infty}^{\infty} f(t) g^*(t)\,dt?

  • Complex exponentials and Euler's formula

    Self-check: Can you express cos⁑(Ο‰t)\cos(\omega t) in terms of ejΟ‰te^{j\omega t}?

  • Probability density functions, expectation, and autocorrelation(Review ch02)

    Self-check: Can you compute RX(Ο„)=E[X(t)Xβˆ—(tβˆ’Ο„)]R_X(\tau) = \mathbb{E}[X(t)X^*(t-\tau)]?

  • Basic convexity and optimisation concepts(Review ch03)

    Self-check: Do you understand why maximising a concave function is a convex optimisation problem?

  • Integration, differentiation, and improper integrals

    Self-check: Can you evaluate βˆ«βˆ’βˆžβˆžeβˆ’a∣tβˆ£β€‰dt\int_{-\infty}^{\infty} e^{-a|t|}\,dt for a>0a > 0?

Notation for This Chapter

Symbols introduced in this chapter. See also the NGlobal Notation Table master table.

SymbolMeaningIntroduced
x(t)x(t)Continuous-time signals01
h(t)h(t)Impulse response of an LTI systems01
βˆ—*Convolution operators01
X(f)X(f)Fourier transform of x(t)x(t)s02
H(f)H(f)Transfer function (frequency response)s02
fsf_sSampling frequency (samples/second)s03
x[n]x[n]Discrete-time signals03
x~(t)\tilde{x}(t)Complex baseband (envelope) signals04
x^(t)\hat{x}(t)Hilbert transform of x(t)x(t)s04
h(t,Ο„)h(t, \tau)Time-variant impulse responses05
SX(f)S_X(f)Power spectral density of X(t)X(t)s06