fircls1() - Signal Processing

b = fircls1(n,wo,dp,ds) generates
a lowpass FIR filter b, where n+1 is
the filter length, wo is the normalized cutoff
frequency in the range between 0 and 1 (where 1 corresponds
to the Nyquist frequency), dp is the maximum passband
deviation from 1 (passband ripple), and ds is the
maximum stopband deviation from 0 (stopband ripple).b = fircls1(n,wo,dp,ds,'high') generates
a highpass FIR filter b. fircls1 always
uses an even filter order for the highpass configuration. This is
because for odd orders, the frequency response at the Nyquist frequency
is necessarily 0. If you specify an odd-valued n, fircls1 increments
it by 1.b = fircls1(n,wo,dp,ds,wt) andb = fircls1(n,wo,dp,ds,wt,'high') specifies
a frequency wt above which (for wt > wo) or below
which (for wt < wo)
the filter is guaranteed to meet the given band criterion. This will
help you design a filter that meets a passband or stopband edge requirement.
There are four cases: Lowpass: 0 < wt < wo < 1: the amplitude of the filter is within dp of 1 over the frequency range 0 < ω < wt. 0 < wo < wt < 1: the amplitude of the filter is within ds of 0 over the frequency range wt < ω < 1. Highpass: 0 < wt < wo < 1: the amplitude of the filter is within ds of 0 over the frequency range 0 < ω < wt.
    0 < wo < wt < 1: the amplitude of the filter is within dp of 1 over the frequency range wt < ω < 1.b = fircls1(n,wo,dp,ds,wp,ws,k) generates
a lowpass FIR filter b with a weighted function,
where n+1 is the filter length, wo is
the normalized cutoff frequency, dp is the maximum
passband deviation from 1 (passband ripple), and ds is
the maximum stopband deviation from 0 (stopband ripple). wp is
the passband edge of the L2 weight function and ws is
the stopband edge of the L2 weight function, where wp < wo < ws. k is the ratio
(passband L2 error)/(stopband L2 error)k=∫0wp|A(ω)−D(ω)|2dω∫wzπ|A(ω)−D(ω)|2dωb = fircls1(n,wo,dp,ds,wp,ws,k,'high') generates
a highpass FIR filter b with a weighted function,
where ws < wo < wp.b = fircls1(n,wo,dp,ds,...,'design_flag') enables
you to monitor the filter design, where 'design_flag' can
be'trace', for a textual display
of the design table used in the design'plots', for plots of the filter's
magnitude, group delay, and zeros and poles. All plots are updated
at each iteration step. The O's on the plot are the  estimated extremals
of the new iteration and the X's are the estimated  extremals of the
previous iteration, where the extremals are the peaks  (maximum and
minimum) of the filter ripples. Only ripples that have a corresponding
O and X are made equal.'both', for both the textual display
and plotsNote  


In the design of very narrow band filters with small dp and ds,
there may not exist a filter of the given length that meets the specifications.

Syntax

b = fircls1(n,wo,dp,ds)b = fircls1(n,wo,dp,ds,'high')b = fircls1(n,wo,dp,ds,wt)b = fircls1(n,wo,dp,ds,wt,'high')b = fircls1(n,wo,dp,ds,wp,ws,k)b = fircls1(n,wo,dp,ds,wp,ws,k,'high')b = fircls1(n,wo,dp,ds,...,'design_flag')

Example

Filter Design with fircls1Open This Example
Design an order 55 lowpass filter with normalized cutoff frequency 0.3. Specify a passband ripple of 0.02 and a stopband ripple of 0.008. Display plots of the bands.
n = 55;
wo = 0.3;
dp = 0.02;
ds = 0.008;
b = fircls1(n,wo,dp,ds,'both');
    Bound Violation = 0.0870385343920  
    Bound Violation = 0.0149343456540  
    Bound Violation = 0.0056513587932  
    Bound Violation = 0.0001056264205  
    Bound Violation = 0.0000967624352  
    Bound Violation = 0.0000000226538  
    Bound Violation = 0.0000000000038  

The Bound Violations denote the iterations of the procedure as the design converges. Display the magnitude response of the filter.fvtool(b)

Output / Return Value

Limitations

Alternatives / See Also

Reference