This subfunction scales data to value between 0 and 1
标签： subfunction between scales value
上传时间： 2013-12-16
上传用户：bjgaofei
Abstract—We describe a technique for image encoding in which local operators of many scales but identical shape serve as the basis functions. The representation differs from established techniques in that the code elements are localized in spatial frequency as well as in space.
标签： technique operators Abstract describe
上传时间： 2014-01-23
上传用户：ruixue198909
中文版详情浏览：http://www.elecfans.com/emb/fpga/20130715324029.html Xilinx UltraScale:The Next-Generation Architecture for Your Next-Generation Architecture The Xilinx® UltraScale™ architecture delivers unprecedented levels of integration and capability with ASIC-class system- level performance for the most demanding applications. The UltraScale architecture is the industr y's f irst application of leading-edge ASIC architectural enhancements in an All Programmable architecture that scales from 20 nm planar through 16 nm FinFET technologies and beyond, in addition to scaling from monolithic through 3D ICs. Through analytical co-optimization with the X ilinx V ivado® Design Suite, the UltraScale architecture provides massive routing capacity while intelligently resolving typical bottlenecks in ways never before possible. This design synergy achieves greater than 90% utilization with no performance degradation. Some of the UltraScale architecture breakthroughs include: • Strategic placement (virtually anywhere on the die) of ASIC-like system clocks, reducing clock skew by up to 50% • Latency-producing pipelining is virtually unnecessary in systems with massively parallel bus architecture, increasing system speed and capability • Potential timing-closure problems and interconnect bottlenecks are eliminated, even in systems requiring 90% or more resource utilization • 3D IC integration makes it possible to build larger devices one process generation ahead of the current industr y standard • Greatly increased system performance, including multi-gigabit serial transceivers, I/O, and memor y bandwidth is available within even smaller system power budgets • Greatly enhanced DSP and packet handling The Xilinx UltraScale architecture opens up whole new dimensions for designers of ultra-high-capacity solutions.
标签： UltraScale Xilinx 架构
上传时间： 2013-11-13
上传用户：瓦力瓦力hong
中文版详情浏览：http://www.elecfans.com/emb/fpga/20130715324029.html Xilinx UltraScale:The Next-Generation Architecture for Your Next-Generation Architecture The Xilinx® UltraScale™ architecture delivers unprecedented levels of integration and capability with ASIC-class system- level performance for the most demanding applications. The UltraScale architecture is the industr y's f irst application of leading-edge ASIC architectural enhancements in an All Programmable architecture that scales from 20 nm planar through 16 nm FinFET technologies and beyond, in addition to scaling from monolithic through 3D ICs. Through analytical co-optimization with the X ilinx V ivado® Design Suite, the UltraScale architecture provides massive routing capacity while intelligently resolving typical bottlenecks in ways never before possible. This design synergy achieves greater than 90% utilization with no performance degradation. Some of the UltraScale architecture breakthroughs include: • Strategic placement (virtually anywhere on the die) of ASIC-like system clocks, reducing clock skew by up to 50% • Latency-producing pipelining is virtually unnecessary in systems with massively parallel bus architecture, increasing system speed and capability • Potential timing-closure problems and interconnect bottlenecks are eliminated, even in systems requiring 90% or more resource utilization • 3D IC integration makes it possible to build larger devices one process generation ahead of the current industr y standard • Greatly increased system performance, including multi-gigabit serial transceivers, I/O, and memor y bandwidth is available within even smaller system power budgets • Greatly enhanced DSP and packet handling The Xilinx UltraScale architecture opens up whole new dimensions for designers of ultra-high-capacity solutions.
标签： UltraScale Xilinx 架构
上传时间： 2013-11-21
上传用户：wxqman
Frequently, voltage reference stability and noise defi nemeasurement limits in instrumentation systems. In particular,reference noise often sets stable resolution limits.Reference voltages have decreased with the continuingdrop in system power supply voltages, making referencenoise increasingly important. The compressed signalprocessing range mandates a commensurate reductionin reference noise to maintain resolution. Noise ultimatelytranslates into quantization uncertainty in A to D converters,introducing jitter in applications such as scales, inertialnavigation systems, infrared thermography, DVMs andmedical imaging apparatus. A new low voltage reference,the LTC6655, has only 0.3ppm (775nV) noise at 2.5VOUT.Figure 1 lists salient specifi cations in tabular form. Accuracyand temperature coeffi cient are characteristic ofhigh grade, low voltage references. 0.1Hz to 10Hz noise,particularly noteworthy, is unequalled by any low voltageelectronic reference.
上传时间： 2013-10-30
上传用户：wxhwjf
Polynomial fit functions === === === === RegressionObject.cls contains a class that provides an easy way to add polynomial regression functionality to any application. If you just want linear regression or a very high degree, no matter: this class has good performance and scales seamlessly with the complexity of your problem.
标签： RegressionObject Polynomial functions contains
上传时间： 2015-04-06
上传用户：rocwangdp
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.
标签： construction separation time-scale particle
上传时间： 2016-01-02
上传用户：fhzm5658
用Vc++编写的小波分析代码，用户需要自行定义小波函数和scales
上传时间： 2014-01-19
上传用户：离殇
Abstract—The contourlet transform is a new two-dimensional extension of the wavelet transform using multiscale and direc- tional fi lter banks. The contourlet expansion is composed of basis images oriented at various directions in multiple scales, with fl exible aspect ratios. Given this rich set of basis images, the contourlet transform effectively captures smooth contours that are the dominant feature in natural images.
标签： transform two-dimensional contourlet extension
上传时间： 2014-01-18
上传用户：水中浮云
The object detector described below has been initially proposed by P.F. Felzenszwalb in [Felzenszwalb2010]. It is based on a Dalal-Triggs detector that uses a single filter on histogram of oriented gradients (HOG) features to represent an object category. This detector uses a sliding window approach, where a filter is applied at all positions and scales of an image. The first innovation is enriching the Dalal-Triggs model using a star-structured part-based model defined by a “root” filter (analogous to the Dalal-Triggs filter) plus a set of parts filters and associated deformation models. The score of one of star models at a particular position and scale within an image is the score of the root filter at the given location plus the sum over parts of the maximum, over placements of that part, of the part filter score on its location minus a deformation cost easuring the deviation of the part from its ideal location relative to the root. Both root and part filter scores are defined by the dot product between a filter (a set of weights) and a subwindow of a feature pyramid computed from the input image. Another improvement is a representation of the class of models by a mixture of star models. The score of a mixture model at a particular position and scale is the maximum over components, of the score of that component model at the given location.
标签： 计算机视觉
上传时间： 2015-03-15
上传用户：sb_zhang
