Download Digital Signal Processing: An Introduction with MATLAB and by Zahir M. Hussain, Amin Z. Sadik, Peter O'Shea PDF

By Zahir M. Hussain, Amin Z. Sadik, Peter O'Shea

In 3 elements, this booklet contributes to the development of engineering schooling and that serves as a basic reference on electronic sign processing. half I offers the fundamentals of analog and electronic indications and platforms within the time and frequency area. It covers the middle subject matters: convolution, transforms, filters, and random sign research. It additionally treats vital functions together with sign detection in noise, radar variety estimation for airborne objectives, binary verbal exchange structures, channel estimation, banking and monetary functions, and audio results construction. half II considers chosen sign processing platforms and strategies. middle themes coated are the Hilbert transformer, binary sign transmission, phase-locked loops, sigma-delta modulation, noise shaping, quantization, adaptive filters, and non-stationary sign research. half III offers a few chosen complicated DSP topics.

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Example text

Alternative Representations of the Delta Function The Dirac delta function can also be defined as the limit of several even functions that satisfy the above properties in the limit. These definitions include: 1. The limit of the weighted rectangular pulse (box), P2a(t) (see Fig. 0 2a 2. 0 2a jxj eÀ a : 3. The limit of the weighted triangular pulse (see Fig. 3 The Unit Step Function The unit step function is defined as: & uðtÞ ¼ 1; t [ 0 0; t\0: [1/(2a)] Π2a ( t ) (1/a) Λ2a ( t ) 1/(2a) −a a 1/a t Fig.

15 Sine and cosine (with the same fo) have identical magnitude spectra using the result from the previous example. Similarly, F fsinðxo tÞg ¼ ! 1 1 dðf À fo Þ À dðf þ fo Þ : 2j 2 Hence, the magnitude spectra of sin(xot) and cos(xot) are identical, as shown in Fig. 15. The phase spectra, however, would be different. Fourier Transform of Periodic Signals A periodic signal x(t) can be represented by a Fourier Series Expansion according to: xðtÞ ¼ 1 X Xk eþj2npfo t ; k¼À1 where {Xk} are the FS coefficients.

And always produces a bounded output signal y(t), the system is said to be bounded-input, bounded-output (BIBO) stable. 6. Linear and non-linear systems: a system which produces an operation T on a signal is called homogeneous if it satisfies the scaling property: T ½c Á xðtފ ¼ cT ½xðtފ; where c is an arbitrary constant. A system is referred to as additive if it satisfies the additivity condition: T ½x1 ðtÞ þ x2 ðtފ ¼ T ½x1 ðtފ þ T ½x2 ðtފ: A linear system satisfies the superposition property, which is the combination of scaling (homogeneity) and additivity: T ½a Á x1 ðtÞ þ b Á x2 ðtފ ¼ aT ½x1 ðtފ þ bT ½x2 ðtފ; where a and b are arbitrary constants.

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