The source filter concept contains two alternative features, live device or file, meaning that in any video surveillance system instance, only one of them should be included.
The transform filter concept consists of two or-features (i.e., codecs and Processing), meaning that any video surveillance system instance has at least one of them.
New data filtering methods based on the Kalman filter concept are investigated for application to track geometry, where a track trolley is normally used to measure the track coordinates, cant and gauge, among others.
This paper presents a novel high-frequency tunable band-stop filter concept based on a single MEMS capacitive shunt device which uses meander arm anchoring inductors and with a total size of 300 × 600 μm.
In this paper, we present a Volterra series approximation approach based on the adaptive filter concept for nonlinear identification of multi-degree of freedom systems, without sacrificing the benefits associated with the traditional Volterra series approach.
The method introduced by Yen and Carey is a processing technique in the beam domain which provides coherent processing of subapertures by proper selection of a phase term based on knowledge or the use of a velocity filter concept for the source-receiver relative speed.
The presented Si/SiO2 based filter concept reflects the major part of the undesired range back to the emitter to minimize energy required for the process and it is adaptable to different types of cells and emitters with different temperatures since its cut-off wavelength can be tuned.
The broad area (100 μm×500 μm) F-VCSEL devices with a metal contact grid on the top demonstrate the 0.85 μm range narrow line emission and the Gaussian-like far-field patterns, which confirm the possibility of the achievement of the surface-emitting lasing by using the all-epitaxial wavelength-selective filter concept.
The disturbance attenuation is achieved by applying H∞ filtering concepts.
Furthermore, a novel in-depth analysis of the computational complexity of the previously proposed SA filtering concepts is provided and contrasted with the computational complexity of the novel ESA filtering concept, adaptive HGMs, and conventional adaptive linear filters.
