Overview

Spectral analysis is the process of estimating the power spectrum (PS) of a signal from its time-domain representation. Spectral density characterizes the frequency content of a signal or a stochastic process. Intuitively, the spectrum decomposes the signal or the stochastic process into the different frequencies, and identifies periodicities. The most commonly used instrument for performing spectral analysis is the spectrum analyzer. Spectral analysis is done based on the nonparametric methods and the parametric methods. Nonparametric methods are based on dividing the time-domain data into segments, applying Fourier transform on each segment, computing the squaredmagnitudeof the transform, and summing and averaging the transform. Nonparametric methods such as modified periodogram, Bartlett, Welch, and the Blackman-Tukey methods, are a variation of this approach. To model fixed-point signal processing algorithms and analyze the effects of quantization on system behavior and performance, you can use the DSP System Toolbox and Fixed-Point Designer functionality. Perform design tradeoff analyses and optimizations on these algorithms by simulating them with different word lengths, scaling, overflow handling, and rounding method choices before you commit to hardware. You can design floating-point filters and convert the filters into fixed-point using the Fixed-Point Designer.

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9781981924240

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