Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Performance Analysis of Incremental LMS over Flat Fading Channels   We study the effect of fading in the communication channels between sensor
nodes on the performance of the incremental least mean square (ILMS) algorithm,
and derive steady state performance metrics, including the mean-square
deviation (MSD), excess mean-square error (EMSE) and meansquare error (MSE). We
obtain conditions for mean convergence of the ILMS algorithm, and show that in
the presence of fading channels, the ILMS algorithm is asymptotically biased.
Furthermore, the dynamic range for mean stability depends only on the mean
channel gain, and under simplifying technical assumptions, we show that the
MSD, EMSE and MSE are non-decreasing functions of the channel gain variances,
with mean-square convergence to the steady states possible only if the channel
gain variances are limited. We derive sufficient conditions to ensure
mean-square convergence, and verify our results through simulations.

8
The categories of this paper are: hep-ex
5
The categories of this paper are: gr-qc
35
The categories of this paper are: mtrl-th
37
The categories of this paper are: supr-con
27
The categories of this paper are: comp-gas
10
The categories of this paper are: q-bio
11
The categories of this paper are: hep-lat
0
The categories of this paper are: hep-ph
14
The categories of this paper are: math-ph
13
The categories of this paper are: quant-ph
7
The categories of this paper are: hep-th
34
The categories of this paper are: chem-ph
12
The categories of this paper are: nucl-th
33
The categories of this paper are: plasm-ph
4
The categories of this paper are: cond-mat
23
The categories of this paper are: solv-int