Signal Processing Toolbox Help Desk

fir1

Purpose

Window-based finite impulse response filter design--standard response.

Syntax

Description

fir1 implements the classical method of windowed linear-phase FIR digital filter design [1]. It designs filters in standard lowpass, bandpass, highpass, and bandpass configurations. (For windowed filters with arbitrary frequency response, use fir2.)

b = fir1(n,Wn) returns row vector b containing the n + 1 coefficients of an order n lowpass FIR filter. This is a Hamming-windowed, linear-phase filter with cutoff frequency Wn. The output filter coefficients, b, are ordered in descending powers of z:

Wn, the cutoff frequency, is a number between 0 and 1, where 1 corresponds to half the sampling frequency (the Nyquist frequency).

If Wn is a two-element vector, Wn = [w1 w2], fir1 returns a bandpass filter with passband w1 < < w2.

If Wn is a multi-element vector, Wn = [w1 w2 w3 w4 w5 ... wn], fir1 returns an order n multiband filter with bands 0 < w < w1, w1 < w < w2, ..., wn < w < 1.

By default, the filter is scaled so that the center of the first passband has magnitude exactly 1 after windowing.

b = fir1(n,Wn,'ftype') specifies a filter type, where ftype is

fir1 always uses an even filter order for the highpass and bandstop configurations. This is because for odd orders, the frequency response at the Nyquist frequency is 0, which is inappropriate for highpass and bandstop filters. If you specify an odd-valued n, fir1 increments it by 1.

b = fir1(n,Wn,window) uses the window specified in column vector window for the design. The vector window must be n+1 elements long. If no window is specified, fir1 employs a Hamming window.

b = fir1(n,Wn,'ftype',window) accepts both ftype and window parameters.

b = fir1(...,'noscale') turns off the default scaling.

The group delay of the FIR filter designed by fir1 is n/2.

Algorithm

fir1 uses the window method of FIR filter design [1]. If w(n) denotes a window, where 1 n N, and the impulse response of the ideal filter is h(n), where h(n) is the inverse Fourier transform of the ideal frequency response, then the windowed digital filter coefficients are given by

Examples

Design a 24th-order FIR bandpass filter with passband 0.35 w 0.65:

Design a 34th order FIR highpass filter with a cutoff frequency of 0.48, using a Chebyshev window with 30 dB of ripple:

Diagnostics

If n is odd and you specify a bandstop or highpass filter, fir1 gives the following warning message:

See Also

filter

Filter data with a recursive (IIR) or nonrecursive (FIR) filter.

fir2

Window-based finite impulse response filter
design--arbitrary response.

fircls

Constrained least square FIR filter design for multiband filters.

fircls1

Constrained least square filter design for lowpass and highpass linear phase FIR filters.

firls

Least square linear-phase FIR filter design.

freqz

Frequency response of digital filters.

kaiserord

Estimate parameters for fir1 with Kaiser window.

remez

Parks-McClellan optimal FIR filter design.

References

[1] IEEE. Programs for Digital Signal Processing. IEEE Press. New York: John Wiley & Sons, 1979. Algorithm 5.2.



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