Abstract

This paper proposes a matching pursuit algorithm, which improves the reconstruction speed by optimizing the least squares problem, thereby further simplifying the hardware implementation. Hardware implementation architecture of FPGA-based matching tracking algorithm is designed, which is composed of three main parts: calculation module, memory module, and control module, and Vivado software is used for extensive simulation experiments. River wetland ecological assessment and monitoring are based on the three basic types of river wetland ecology and proposes strategies for the development of river wetland ecological restoration models, water system restoration, and topographic and geological restoration. At the same time, the related repair techniques and methods are further summarized. In addition, this article discusses specific methods of applying restoration strategies to park construction based on wetland parks, and studies the protection and utilization of wetlands from the perspective of river types. Matching tracking also plays an important role in the training of university entrepreneurs. This article affirms the status of higher education in university entrepreneurship education and advocates the value of higher education in entrepreneurship. By analyzing the diversified development of China’s entrepreneurship education curriculum, we have discovered its existing problems. At the current stage of China’s entrepreneurship education, based on the experience of American entrepreneurship education curriculum reform, combined with the status quo of China’s diversified entrepreneurship education, there are new ideas for education curriculum reform. This paper mainly studies the ecological prediction of river wetland with matching tracking, and applies it to the research on the diversified development of university entrepreneurship education, which promotes the enthusiasm of university students to start their own businesses.

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