拔出
发表于 2025-3-28 16:17:49
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GRIPE
发表于 2025-3-28 21:35:41
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cravat
发表于 2025-3-29 02:49:38
Sampled data systems and the ,-transform, signals. As shown in Figure 4.1(a), a continuous-time input signal, .(.) is applied to a linear filter to produce a continuous-time output signal, .(.). The filter is completely characterised by its transfer function (as in Chapter 1) or equivalently by its impulse response (as in Chapter 2).
HERTZ
发表于 2025-3-29 06:02:24
Infinite impulse response digital filters,ions and consequent frequency response. It investigates the differences in the passband shape and transition band roll-off rate for these particular prototype filter designs. Digital filter design is then introduced via the difference equation of Chapter 4 and the various filter structures are explo
南极
发表于 2025-3-29 08:38:16
Finite impulse response digital filters,many situations, their poor phase response is a severe limitation. Finite impulse response (FIR) filters are nonrecursive, making them unconditionally stable, and further they offer the possibility of achieving a linear phase characteristic. However they will require more stages of delay and multipl
certain
发表于 2025-3-29 13:54:52
Random signal analysis,can be described as ‘weighted sums of complex exponentials’ and are thus highly predictable in the following sense: given the Fourier transform of a signal we can work out exactly what the value of that signal would be at any time .. In practical applications other signals are encountered which are
低位的人或事
发表于 2025-3-29 17:15:03
Adaptive filters, in previous chapters are based firmly on frequency domain concepts. For example, in a particular application it might be known . that the desired signal exists within a narrow bandwidth of . Hz centred at a frequency . Hz and is subjected to additive noise or interference whose power is spread over
散布
发表于 2025-3-29 20:29:11
The Fourier transform and spectral analysis, data record on the DFT performance analysis. This is then developed into the classical and modern techniques which are widely used for estimation of the power spectrum from signal sample data records. The power spectral density of a signal was defined previously in section 7.3 via the autocorrelati