Performance Analysis of Gradient Adaptive Lattice Joint Processing Algorithm
CAR '09 Proceedings of the 2009 International Asia Conference on Informatics in Control, Automation and Robotics
A FPGA pipelining design method of gradient adaptive lattice joint processor
CAR'10 Proceedings of the 2nd international Asia conference on Informatics in control, automation and robotics - Volume 2
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Benefiting from self-orthogonal backward output signal and other excellent numerical characters, the lattice filters offer many promising advantages over transversal filters for realization on modern digital processor, but how long and how much reflectance coefficients are difficult to be selected in engineering application as the veiled transfer functions of the structure. Introducing gradient algorithm in each lattice section, we advanced a new project which the optimal parameters of sections and step could be acquired through the outcome of the astringency and stability of reflectance in simulation. In the meantime through constituting a joint processing filter with the lattice filter and LMS filter, we had verified the method reasonably and effectively. The result shows that the project can ensure to contrive lattice filter in the hardware aspect conveniently, and it need less hardware resources comparing with original algorithm.