Adaptive and Iterative Signal Processing in Communications

Appendix 1: Review of Signal Processing and The Z-transform

A1.1 Signals and Systems

We consider discrete-time signals and systems.

  1. Linear systems. Consider an operator H[ ] which denotes a system. The output of the system H[ ] given input x l is denoted by H[ x l]. Then, a system is linear if


    where a and b are constants and x l and y l are input signals.

  2. Impulse response. The impulse response of a linear system is the output of the linear system when the input is a unit impluse:


    where ? l denotes the unit impulse defined as


  3. Causal. A linear system is called causal if


  4. Convolution. The convolution of x l and y l is defined as follows


    where * denotes the convolution (operation).

  5. Output of linear systems. If a linear system has impulse response { h m}, given input x l, the output is given by

A1.2 -transform

  1. Definition. The -transform of signal x l is defined as follows:


    where z is a complex variable.

  2. Convolution property. If y l = x l * h l, then


    where Y ( z), X( z), and H( z) stand for the -transforms of y l, x l, and h l, respectively.

  3. Shift property. If y l = x l ? m, then


  4. Parseval s theorem. Let X

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