sigex.hi2low | R Documentation |
Background: a scalar high frequency filter acts on a high frequency time series by convolution. If we embed as a low frequency time series, the corresponding filter is now a matrix filter.
sigex.hi2low(filter.hi, hi.freq, low.freq, shift.hi)
filter.hi |
Given scalar high frequency filter of length L |
hi.freq |
Sampling frequency of high frequency time series |
low.freq |
Sampling frequency of low frequency time series |
shift.hi |
The integer offset for the high frequency filter: filter coefficients have indices -shift.hi,...,0,...,L-1-shift.hi set shift.hi = 0 for a causal filter |
filter.low: array s x s x M, where s = hi.freq/low.freq (must be an integer) and M is length, which depends on s, L, and shift.hi shift.low: integer offset for the low frequency filter
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