均方误差准则 meaning in Chinese
mean square error criterion
mean-square error criteria
mean-square error criterion
Examples
- First , after deeply investigating help model , a harmonic related voicing detection algorithm based on mse criterion is developed , with the knowledge that voicing algorithm can be showed by degree of harmonic relation
首先，本文通过对help算法的深入分析，根据语音信号谐波相关程度能反映浊音度强弱的性质，开发了一种基于最小均方误差准则的谐波相关浊音度参数提取方法。 - In this thesis , the criterion is used to solve the salary problem , which is one of the problems of human resource management . the application of the revised msb receives right results , and it has the same effect with the other criterion
最后，本文将修正均方误差准则应用到人力资源管理的实际工作中去，通过对现有薪酬数据以及人员各种信息的分析和计算，得到了良好的效果，显示出修正均方误差准则同其他准则具备相同的功效。 - Then we focus on decision feedback equalization ( dfe ) algorithm which is widely used in mimo signal detection . subsequently , a minimum mean squared error ( mmse ) detector based on wl detection combined with the decision feedback strategy for ca - mimo is derived . meanwhile , the issue that how to use wl detection in da - mimo system is discussed and a solved project is also presented
本文第四章在介绍了宽线性检测技术的基础知识之后,着重针对mimo信号检测算法中使用广泛的反馈判决检测算法,提出了一种基于最小均方误差准则的宽线性反馈判决集中式mimo信号检测算法;同时,结合第三章的内容,对分布mimo信号如何采用宽线性检测提出了一套解决方案,通过计算机仿真,给出了几种分布mimo检测算法的性能;结果表明,在采用最优检测顺序的情况下,两 - After the system has been synchronized , we first use the least square method to make channel estimation , then separate the channel response information from the channel noises by dft . a weighting function based on the minimum mean square error ( mmse ) criteria can be applied to the time domain channel impulse response
在系统同步条件下，首先使用最小平方方法来估计信道响应，然后利用离散傅利叶变换的性质把信道响应信息和信道噪声分离，并在时域按最小均方误差准则做加权处理。 - Based on the analysis of image wavelet transformation and the space / frequency distributing characteristics of different subbands " coefficients , this dissertation fully exploits the following theories and methods : scalar quantization , vector quantization , trellis coded quantization , trellis coded vector quantization , vector classification , codebook expansion and weighted mean square error rule basing mankind visual characteristics , etc . from different angles of information amalgamation , it develops several innovative algorithms of image compression and coding , gives their realization schemes , and makes plentiful simulation tests
本文在分析了图像小波变换的原理和子带系数空间及频率分布特点的基础上，充分利用标量量化、矢量量化、网格编码量化、网格编码矢量量化、矢量分类、码书扩展和基于人眼视觉特性的加权均方误差准则等思想和方法，从信息融合的不同角度展开了对小波图像的压缩编码研究，同时也讨论了这些方法在静止图像量化中的具体应用。