The Hilbert Transform is an important component in communication systems, e.g. for single sideband modulation/demodulation, amplitude and phase detection, etc. It can be formulated as filtering operation which makes it possible to approximate the Hilbert Transform with a digital filter. Due to the non-causal and infinite impulse response of that filter, it is not that easy to get a good approximation with low hardware resource usage. Therefore, different filters with different complexities have been implemented. The detailed discussion can be found in "Digital Hilbert Transformers or FPGA-based Phase-Locked Loops" (http://ieeexplore.ieee.org/xpl/freeabs_all.jsp?arnumber=4629940). The design is fully pipelined for maximum throughput.
标签: e.g. communication Transform important
上传时间: 2017-06-25
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E book for Linux Device Driver
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bayesian networks. a n e book for starting the understanding of bayes theory and applications
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This is an e-book for integral mathematics formulae in pdf format
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E-book for XNA 3.0 programming
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a E book for MAtlab Programming
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数据结构课程设计 数据结构B+树 B+ tree Library
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its visual basic e-book for learn. its language turkish.
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E-Book For Java Basic Creating Mobile Games.
标签: Creating E-Book Mobile Basic
上传时间: 2013-11-29
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Floyd-Warshall算法描述 1)适用范围: a)APSP(All Pairs Shortest Paths) b)稠密图效果最佳 c)边权可正可负 2)算法描述: a)初始化:dis[u,v]=w[u,v] b)For k:=1 to n For i:=1 to n For j:=1 to n If dis[i,j]>dis[i,k]+dis[k,j] Then Dis[I,j]:=dis[I,k]+dis[k,j] c)算法结束:dis即为所有点对的最短路径矩阵 3)算法小结:此算法简单有效,由于三重循环结构紧凑,对于稠密图,效率要高于执行|V|次Dijkstra算法。时间复杂度O(n^3)。 考虑下列变形:如(I,j)∈E则dis[I,j]初始为1,else初始为0,这样的Floyd算法最后的最短路径矩阵即成为一个判断I,j是否有通路的矩阵。更简单的,我们可以把dis设成boolean类型,则每次可以用“dis[I,j]:=dis[I,j]or(dis[I,k]and dis[k,j])”来代替算法描述中的蓝色部分,可以更直观地得到I,j的连通情况。
标签: Floyd-Warshall Shortest Pairs Paths
上传时间: 2013-12-01
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