Spikes can be taken as absolute quantities of measuring values which are large than approximately four (expressed as variable [Times_SD] in the program)times of the standard deviation of the time series, and can be removed by repeating 3 times with each time series. When a measuring value with the deviation from the mean larger than four times of the standard deviation, the variable can be taken as NO_VALUE, and the number of spikes is saved into the variable [SpikeNum].
If the variable [Times_SD] is taken as four, many records will be removed, so the variable [Times_SD] can be taken as larger, for example eight.
Abstract:
By using gateway systems on large 32-bit platforms, networks of small, 8- and 16-bit
microcontrollers can be monitored and controlled over the Internet. With embedded Linux, these
gateways are easily moved from full-blown host PCs to embedded platforms like the PC104. In
this class you will learn about hardware platforms that support embedded Linux, Linux kernel
configuration, feature selection, installation, booting and tuning.
The LabVIEW Development Guidelines describe many of the issues that
arise when developing large applications. The guidelines are based on the
advice of LabVIEW developers, and provide a basic survey of software
engineering techniques you might find useful when developing your
own projects.
There is also a discussion of style for creating VIs. Developers who have
used LabVIEW and are comfortable in the LabVIEW environment can use
the LabVIEW Development Guidelines to maintain a consistent and
effective style in their projects.
This paper examines the asymptotic (large sample) performance
of a family of non-data aided feedforward (NDA FF) nonlinear
least-squares (NLS) type carrier frequency estimators for burst-mode
phase shift keying (PSK) modulations transmitted through AWGN and
flat Ricean-fading channels. The asymptotic performance of these estimators
is established in closed-form expression and compared with the
modified Cram`er-Rao bound (MCRB). A best linear unbiased estimator
(BLUE), which exhibits the lowest asymptotic variance within the family
of NDA FF NLS-type estimators, is also proposed.
In recent years large scientific interest has been
devoted to joint data decoding and parameter estimation
techniques. In this paper, iterative turbo decoding joint
to channel frequency and phase estimation is proposed.
The phase and frequency estimator is embedded into the
structure of the turbo decoder itself, taking into consideration
both turbo interleaving and puncturing. Results
show that the proposed technique outperforms conventional
approaches both in terms of detection capabilities and
implementation complexity.
We present a particle filter construction for a system that exhibits
time-scale separation. The separation of time-scales allows two simplifications
that we exploit: i) The use of the averaging principle for the
dimensional reduction of the system needed to solve for each particle
and ii) the factorization of the transition probability which allows the
Rao-Blackwellization of the filtering step. Both simplifications can be
implemented using the coarse projective integration framework. The
resulting particle filter is faster and has smaller variance than the particle
filter based on the original system. The convergence of the new
particle filter to the analytical filter for the original system is proved
and some numerical results are provided.
