资料->【E】光盘论文->【E5】英文书籍->Design and Analysis of Analog Filters (英).pdf
标签： Analysis Filters Design Analog
上传时间： 2013-04-24
上传用户：气温达上千万的
Power conversion by virtue of its basic role produces harmonics due to theslicing of either voltages or currents. To a large extent the pollution in theutility supply and the deterioration of the power quality has been generatedor created by non-linear converters. It is therefore ironic that power convertersshould now be used to clean up the pollution that they helped to create inthe first place.In a utility system, it is desirable to prevent harmonic currents (which resultin EMI and resonance problems) and limit reactive power flows (whichresult in transmission losses).Traditionally, shunt passive Filters, comprised of tuned LC elements andcapacitor banks, were used to filter the harmonics and to compensate forreactive current due to non-linear loads. However, in practical applicationsthese methods have many disadvantages.
上传时间： 2013-11-04
上传用户：AISINI005
应用 APPLICATIONS·电视机、录像机、音频设备、显示器、复印机、打印装置、游戏机及计算机等。·用于开关电源线性滤波器。·削除 TV、VTR、VCR及监听器泄漏杂音。·用于OA 设备、通信设备和其它器件。·TV set, recorder, sound-frequency equipment, show-scope, photocopy-scope, typewrite equipment, recreation-scope, computer etc.·For line Filters of switching power supplies.·Eliminates incoming/leaking noise of TVs, VTRs/VCRs and audio equipment .·For OA equipment, communications equipment and other electronic devices.
上传时间： 2013-10-22
上传用户：shizhanincc
自70年代被Bloom提出以来,Bloom Filters作为一种空间高效利用的紧凑数据结构，其不但能够对一个数据集合进行压缩表示而且能够支持集合的成员关系判断，在网络领域得到广泛应用。
上传时间： 2013-12-09
上传用户：trepb001
C++ image processing.Mainly it occupies some Filters to detect some prperties of image. Release.
标签： image some processing prperties
上传时间： 2015-08-28
上传用户：gtf1207
Visual Basic image processing. Mainly it occupies some Filters to detect some prperties of image. Release.
标签： image some processing prperties
上传时间： 2013-12-09
上传用户：tonyshao
Complete PCAUSA samples including various kernel mode TDI code, TDI Filters/redirectors and NDIS Filters.
标签： redirectors including TDI Complete
上传时间： 2013-12-07
上传用户：agent
We propose a novel approach for head tracking, which combines particle Filters with Isomap. The particle filter works on the low-dimensional embedding of training images. It indexes into the Isomap with its state variables to find the closest template for each particle. The most weighted particle approximates the location of head. We develop a synthetic video sequence to test our technique. The results we get show that the tracker tracks the head which changes position, poses and lighting conditions.
标签： approach combines particle tracking
上传时间： 2016-01-02
上传用户：yy541071797
An unsatisfactory property of particle Filters is that they may become inefficient when the observation noise is low. In this paper we consider a simple-to-implement particle filter, called ‘LIS-based particle filter’, whose aim is to overcome the above mentioned weakness. LIS-based particle Filters sample the particles in a two-stage process that uses information of the most recent observation, too. Experiments with the standard bearings-only tracking problem indicate that the proposed new particle filter method is indeed a viable alternative to other methods.
标签： unsatisfactory inefficient property particle
上传时间： 2014-01-11
上传用户：大三三
Rao-Blackwellised Particle Filters (RBPFs) are a class of Particle Filters (PFs) that exploit conditional dependencies between parts of the state to estimate. By doing so, RBPFs can improve the estimation quality while also reducing the overall computational load in comparison to original PFs. However, the computational complexity is still too high for many real-time applications. In this paper, we propose a modified RBPF that requires a single Kalman Filter (KF) iteration per input sample. Comparative experiments show that while good convergence can still be obtained, computational efficiency is always drastically increased, making this algorithm an option to consider for real-time implementations.
标签： Particle Filters Rao-Blackwellised exploit
上传时间： 2016-01-02
上传用户：refent
