The standard optimum Kalman filter demands complete
knowledge of the system parameters, the input forcing functions, and
the noise statistics. Several adaptive methods have already been devised
to obtain the unknown information using the Measurements and
the filter residuals.
This m file analyzes a coherent binary phase shift keyed(BPSK) and a amplitude shift keyed(ASK) communication system. The receiver uses a correlator(mixer-integrator[LPF]) configuration with BER Measurements comparing measured and theoretical results. The bandpass and low pass used in the receiver are constructed using z transforms.
Aiming at the application of passive trackinn based on sensor array, a new passive trackinn usinn sensor array
based on particle filter was proposed. Firstly, the“fake points" could be almost entirely and exactly deleted with the aids of the
sensor array at the expense of an additional sensor. Secondly, considered the fact that the Measurements notten from each array
were independent in passive trackinn system, a novel sequential particle filter usinn sensor array with improved distribution was proposed. At last, in a simulation study we compared this approach a壇orithm with traditional trackinn methods. The simulation re-sups show that the proposed method can nreatly improve the state estimation precision of sensor array passive trackinn system.
pMatlab is a toolsbox from MIT for running matlab in parallel style on a multi-core PC or a cluster environment. These two documents summary the usage of pMatlab and running time Measurements on three simple Monte Carlo simulation codes.
sfrmat is a Matlab function that provides a spatial frequency response* (SFR) from a digital image file containing a slanted-edge feature. The specific edge-gradient algorithm follows the intent of the standard ISO 12233, developed by Technical Committee ISI/TC 42, for resolution Measurements for electronic still pictorial cameras.
The task of clustering Web sessions is to group Web sessions based on similarity and consists of maximizing the intra-
group similarity while minimizing the inter-group similarity．
The first and foremost question needed to be considered in clustering
W b sessions is how to measure the similarity between Web
sessions．However．there are many shortcomings in traditiona1
Measurements．This paper introduces a new method for measuring
similarities between Web pages that takes into account not only the
URL but also the viewing time of the visited web page．Yhen we
give a new method to measure the similarity of Web sessions using
sequence alignment and the similarity of W eb page access in detail
Experiments have proved that our method is valid and e幣cient．
一篇關(guān)于TCP-Vegas的文獻(xiàn):Vegas is an implementation of TCP that achieves between 37 and 71％ better throughput on the Internet, with onefifth to one-half the losses, as compared to the implementation of TCP in the Reno distribution of BSD Unix. This paper motivates and describes the three key techniques employed by Vegas, and presents the results of a comprehensive experimental performance study—using both simulations and Measurements on the Internet—of the Vegas and Reno implementations of TCP.
Quality control of production has always been a necessity
in stainless steel mills. The users of stainless
steel set ever-increasing requirements on product
quality. Many material properties can still only be
measured in laboratory but more and more Measurements
are now made on-line during the production.
Especially surface defects have to be detected on-line
with a surface inspection system because of their random
appearance.
This paper studies the problem of tracking a ballistic object in
the reentry phase by processing radar Measurements. A suitable
(highly nonlinear) model of target motion is developed and the
theoretical Cramer—Rao lower bounds (CRLB) of estimation
error are derived. The estimation performance (error mean and
This paper studies the problem of tracking a ballistic object in
the reentry phase by processing radar Measurements. A suitable
(highly nonlinear) model of target motion is developed and the
theoretical Cramer—Rao lower bounds (CRLB) of estimation
error are derived. The estimation performance (error mean and
