2d adaptive filters造句

• This theory allows the design of 2D adaptive filters out of existing 1D prototype filters.
• Examples of applications of 2D adaptive filters include Image Denoising, Motion Tracking, OFDM channel estimation, magnetic recording equalization
• One convenient approach to implement 2D Adaptive Filters is to transform the 2D problem into a 1D problem by lexicographic ordering.
• Moreover, just like 1D filters, most 2D adaptive filters are digital filters, because of the complex and iterative nature of the algorithms.
• The topic of 2D adaptive filters is very important in electrical engineering and signal processing since these filters have the ability to take into account the nonstationary statistical properties of 2D signals.
• "' Block Diagonal 2D Adaptive Filters "'is an alternative approach that scans the signal through blocks and applies weight adjustments for each block, instead of for each sample as in the traditional adaptive filters.
• The main difference between 1D and 2D adaptive filters is that the former usually takes as inputs signals with respect to time, what implies in causality constraints, while the latter handles signals with 2 dimensions, like x-y coordinates in the space domain, which are usually non-causal.