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Bandlimiting is the limiting of a signal's Fourier transform or power spectral density to zero above a certain finite frequency. A band-limited signal is one whose Fourier transform or power spectral density has bounded support. The signal may be either random (stochastic) or non-random (deterministic). In general, infinitely many terms are required in a continuous Fourier series representation, but if a finite number of Fourier series terms can be calculated from that signal, that signal is considered to be band-limited. ==Sampling bandlimited signals== A bandlimited signal can be fully reconstructed from its samples, provided that the sampling rate exceeds twice the maximum frequency in the bandlimited signal. This minimum sampling frequency is called the Nyquist rate. This result, usually attributed to Nyquist and Shannon, is known as the Nyquist–Shannon sampling theorem. An example of a simple deterministic bandlimited signal is a sinusoid of the form . If this signal is sampled at a rate so that we have the samples , for all integers , we can recover completely from these samples. Similarly, sums of sinusoids with different frequencies and phases are also bandlimited to the highest of their frequencies. The signal whose Fourier transform is shown in the figure is also bandlimited. Suppose is a signal whose Fourier transform is , the magnitude of which is shown in the figure. The highest frequency component in is . As a result, the Nyquist rate is : or twice the highest frequency component in the signal, as shown in the figure. According to the sampling theorem, it is possible to reconstruct completely and exactly using the samples : for all integers and as long as : The reconstruction of a signal from its samples can be accomplished using the Whittaker–Shannon interpolation formula. 抄文引用元・出典: フリー百科事典『 ウィキペディア(Wikipedia)』 ■ウィキペディアで「Bandlimiting」の詳細全文を読む スポンサード リンク
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