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Mode decision acceleration for H.264AVC to SVC
... simplify the mode decision process in SVC owing
to its heavy computations. Two scenarios namely transcoding with the same quantization parameter and bitrate
reduction are considered. In the first scenario, SVC’s modes are determined by the probability ...
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Neural.Network.Design.2nd.Edition.0971732116
... the generalization ability of trained networks. Associative and competitive networks, including feature maps and learning vector quantization, are explained with simple building blocks. A chapter of practical training tips for function approximation, ...
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A first course in string theory（弦理论的第一课）
... 216
11.2 Heisenberg and Schr¨odinger pictures 218
11.3 Quantization of the point particle 220
11.4 Quantum particle and scalar ... 378
17.3 Left movers and right movers 381
17.4 Quantization and commutation relations 383
17.5 Constraint and mass formula 386 ...
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U-blox LEA/NEO 6T手册
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module features user configurable frequency and timepulse outputs. An accuracy of up to 15 ns is achievable by using the quantization error information to compensate the granularity of the time
pulse. NEO-6T/LEA-6T feature a time mode function whereby ...
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一种新的全汉语单音节语音识别算法
... 了 David K. Bordon 提出的多段矢量量化（Multisection Vector Quantization，简记为MVQ）方法中能保持时间序列信息的 ...
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HYPERSPECTRAL DATA COMPRESSION
... Image Compression via Linear Prediction.- Lossless Compression of Ultraspectral Sounder Data.- Locally Optimal Partitioned Vector Quantization of Hyperspectral Data.- Near-Lossless Compression of Hyperspectral Imagery Through Crisp/Fuzzy Adaptive DPCM.- ...
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Image and Video Compression for Multimedia Engineering
... dry' materials from the standards specifications otherwise.
In Part II, advanced and proprietary image coding methods, such as vector quantization and fractal coding, are also included to let the users have her/his choice in building up more appreciation ...
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Analog-to-Digital Conversion
... -of-the-art reference on data converters. It discusses various analog-to-digital conversion principles, including sampling, quantization, reference generation, nyquist architectures and sigma-delta modulation. This book presents an overview of the state ...
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k-means hashing
何凯明2013年再cvpr中发表的文章K-means Hashing: an Affinity-Preserving Quantization Method for Learning Binary Compact Codes 源代码
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