[SciPy-User] RLS algorithm?
Neal Becker
ndbecker2@gmail....
Tue Oct 23 13:23:49 CDT 2012
Charles R Harris wrote:
> On Tue, Oct 23, 2012 at 11:20 AM, Neal Becker <ndbecker2@gmail.com> wrote:
>
>> Anyone have code for RLS (recursive least squares)? I have one version,
>> but it
>> seems to be rather unstable.
>>
>>
> A bit more information would be helpful. What are you trying to do and how
> have you implemented it.
>
> Chuck
Using Haykin 2002 "Adaptive Filter Theory", pp 443 (table 9.1), I came up with
this:
import numpy as np
from itertools import izip
class rls (object):
def __init__ (self, w, p, _lambda):
self.w = w
self._lambda = _lambda
self.p = p
def call1 (self, u, d):
pi_n = np.dot (u.conj(), self.p)
kappa = self._lambda + np.dot (pi_n, u)
k_n = pi_n.conj() / kappa
z = np.dot (self.w.conj(), u)
e = d - z
self.w += k_n * e.conj()
self.p = 1/self._lambda * (self.p - np.outer (k_n, pi_n))
def __call__ (self, u, d):
if hasattr (d, '__len__'):
for eu, ed in izip (u, d):
self.call1 (eu, ed)
else:
self.call1 (u, d)
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