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FinalThesis
- 用超声换能器实现音频声束可以有效解决声音传播过程的发散。该文档全面介绍了如何用普通的超声换能器实现audiobeam。-ultrasonic transducer achieve Audio sound beam can effectively solve the voice communication process divergence. The document gave a comprehensive overview of how to use ordinary ultrasound
HFilterTechnologyinIntegratedNavigationSystem
- 研究了自主水下航行器组合导航系统精度.仿真结果表明,在有色噪声情况下,组合导航系统有效地克服了传统滤波容易发散的缺点.-Studied the combination of autonomous underwater vehicle navigation system accuracy. The simulation results show that in the case of colored noise, integrated navigation system to effectivel
Logistic
- 讲述了Logistic方程（差分形式）的简单推导过程，易于理解。而后给出了不同参数时Logistic方程的敛散性的matlab仿真及分析-Described the Logistic equation (differential form) derived a simple process, easy to understand. Then the different parameters are given Logistic equation Convergence and Divergenc
UKF
- 对于扩展卡尔曼滤波在非线性系统中由于线性化过程引入了线性化误差，从而导致滤波器性能下降甚至发散造成滤波发散的情况-For the extended Kalman filter to nonlinear systems of linear process because of the introduction of the linearization error, leading to filter divergence of performance degradation and even f
verilog-FAQ
- Low power SRAMs have become a critical component of many VLSI chips. This is true for microprocessors, where on-chip cache sizes are growing with each generation to bridge the increasing divergence in the speeds of the processor and main memory. Simu
eemdtz
- 此文件包含着EEMD的能量特征分量的计算程序和EEMD之后进行各个IMF的KL散度指的计算程序。-This file contains the energy characteristic component EEMD computational procedures and after each EEMD KL divergence refers to the IMF s calculation program.
1-fixed-lag-CRTS
- 发散的一个新的Rauch-Tung-Striebel形式容积卡尔曼平滑了非线性状态空间模型采用求容积法为最优平滑转换-A new form of Rauch-Tung-Striebel volume divergence Kalman smoother nonlinear state space model using the volumetric method for seeking the optimal smooth transition
divergence-theorem
- basics of divergence theorem
gradient--divergence-and-curl
- defination of gradient, divergence and curl
melppaper6
- 为了提高深度模型的编码重构性能,本文为传统对比散度(Contrastive divergence,CD)添加了基于交叉熵的重构误差约束。利用改进后的算法训练了重构性深度自编码机(Reconstructive deep au-to-encoder,RDAE),并用 RDAE 替换混合激励线性预测编码(Mixed excitation linear prediction, MELP)语音编码器中 LSF 参数的矢量量化方法。测试结果表明,改进后的算法在损失一定模型似然度的条件下获得了重构性能的提升,
3.15
- 对emd分解进行改进，通过kl散度和相关系数来改进这个分解排除虚假分量-Improve the decomposition of emd, improve the decomposition by kl divergence and correlation coefficient to eliminate false components