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机器学习技术被广泛应用于人体运动合成,取得了很多研究成果,这得益于运动捕获技术的成熟和使用。运动捕获技术使数据驱动的方法成为人体运动合成的主流,而机器学习技术能够有效地处理人体运动数据这类维数高且在时间和空间两个维度都具有较大相关性的数据。文中以机器学习方法为主线,结合各类方法的特点,对人体运动合成中的应用进行总结和归纳;同时,还展望了人体运动合成和运动数据处理技术未来的发展趋势。-Machine learning techniques are widely used in human moti
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分集合并技术的三种典型合并技术的matlab源程序代码仿真-Diversity combining techniques combined three typical simulation technique matlab source code
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The channel is modeled by adding the Gaussian noise and Rayleigh Fading. Different combining methods and relaying protocols are studied and compared in this project. We analyzed performance characterizations in terms of The Bit Error Rate and the Thr
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分集技术,采用最大比合并的误码率性能曲线-Diversity techniques, the BER performance curve of maximum ratio combining
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this file contains various combing techniques with amplify and forward relay protocol and decode and forward relay protocol
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The fusion of images is the process of combining two or more images into a single image retaining important features from each of the images. A scheme for fusion of multi-resolution 2D gray level images based on wavelet transform is presented in this
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