System identification with adaptive filter using full and partial-update Generalised-Sideband-Decomposition Least-Mean-Squares
标签: Generalised-Sideband-Decomp identification partial-update adaptive
上传时间: 2017-09-12
上传用户:xcy122677
generalised stack using array
标签: generalised array stack using
上传时间: 2017-04-05
上传用户:Andy123456
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
上传用户:gxf2016