搜索资源列表
DSP2
- DSB-SC信号的生成与解调 1) 用离散(DSP)的方法生成DSB信号 2) 载波频率为150KHz,音频为500Hz和2000Hz的混合音。 3) 加入高斯白噪声 (4) 语音信号 的传输。 改变抽样频率和量化台阶大小,观察重建信号以及量化噪声信号的波形;对于语音信号主观评价声音质量的变化。 -DSB-SC signal generation and demodulation 1) Discrete (DSP) methods to generate DSB signal 2) the ca
tele3
- 模拟信号的数字化传输---增量调制系统 用SIMULINK建立简单增量调制系统的模型并进行 (3) 正弦信号 (4) 语音信号 的传输。 改变抽样频率和量化台阶大小,观察重建信号以及量化噪声信号的波形;对于语音信号主观评价声音质量的变化。 -Digitized analog signal transmission systems--- delta modulation delta modulation SIMULINK easy set up of the model s
BM3D
- The Block-Matching and 3D Filtering (BM3D) algorithm is a computationally scalable algorithm based on this novel denoising strategy. It achieves state-of-the-art denoising performance in terms of both peak signal-to-noise ratio and subjective visual
1
- 该算法由变换组合优化、彩色分量加权、CSF滤波三部分组成。实验结果表明,在非常大的压缩比率范围下,该算法的客观质量和主观质量都优于JPEG2000有损变换算法和JPEG2000无损压缩算法。-Optimization of the algorithm by the transformation, color component weighted, CSF filtering of three parts. The results show that in the very large compr
Method-of-Converting-Speech-Codec-Formats-between-
- Abstract - In this paper, proposed an efficient method of converting speech codec formats between G.723.1 and G.729А. The proposed method is composed of four steps: LSP conversion, pitch conversion, adaptive codebook search and fixed cod
ssim_index
- 用于图像质量评价的ssim程序,用以对图像的质量进行客观评价,评价结果更接近主观感受-Ssim for image quality assessment procedures for an objective image quality evaluation, evaluation results are closer to the subjective feelings
Uncertain
- JAVA程序解决了人工智能中主观Bayse方法问题,采用SWING实现图形界面,可以绘制主观Bayse曲线-JAVA program to solve the problem of artificial intelligence methods of subjective Bayse, realized by SWING graphical interface, you can draw the curve of subjective Bayse
cengcifenxi
- 在现代化的评价模型中,我们可以用层次分析法建立模型,但是其主观性强,判断矩阵的确定比较困难-In the modern evaluation model, we can use AHP model, but its subjective nature, is difficult to determine the matrix to determine the
BP2
- 换档品质评价方法的研究是应现代车辆自动变速技术发展需要而提出的前沿研究课 题,其评价过程可视为一个非线性动态系统。BP 神经网络的非线性系统辨识 ,能够逼近任意 一个非线性函数。通过确定换档品质评定指标 ,利用BP网络训练获得的数据样本 ,从而建立 主观、 客观评价标准之间的联系 利用 Mat lab/ Simulink 完成换档品质评价方法的客观描述并 进行仿真。通过与实验结果对比 ,证明这种方法能够有效真实地评价换档品质并与传统主观 评价方法具有很好的一致性。-Shift
Nouveau-dossier-(2)
- brightness : Brightness is an attribute of visual perception in which a source appears to be radiating or reflecting light.[1] In other words, brightness is the perception elicited by the luminance of a visual target. This is a subjective attribute/p
cd4ef1.ZIP
- 基于主观逻辑的PKI信任评估模型Based on subjective logic for PKI trust evaluation model-Based on subjective logic for PKI trust evaluation model
SingularityIndex
- 基于自然场景统计的无参考图像质量评价,此方法可以很好的评价图像质量,与主观评价匹配性很好-No statistics are based on natural scene reference image quality assessment, the evaluation of this method can be very good image quality, very good match with the subjective evaluation
ANN_BP
- 神经网络中BP学习算法,并在MFC中以主观方式显示学习过程。-Neural network BP learning algorithm, and in MFC in order to show the subjective learning process.
ANN_SOM
- 神经网络中的无监督学习中的SOM学习算法,并在MFC中以主观方式显示学习过程。-Neural network unsupervised learning of SOM learning algorithm, and in MFC in order to show the subjective learning process.
Enhancement-Based-on-Visual-Property
- 常见的基于人类视觉特性的图像增强算法由于是同时完成动态范围压缩和对比度增强,导致增强图像的整 体对比度不高、边缘部分效果不佳.通过分析人类视觉系统的全局和局部自适应调节原理及人眼视网膜神经节细胞 感受野的传输特性,提出一种仿生图像增强算法.为适应人类视觉系统对光强的主观感觉特性,对图像作全局亮度 对数变换 并利用人眼的主观亮度感觉与实际光强的对数呈局部线性关系的特性,采用视网膜神经元感受野三高斯 模型来调整亮度图像的局部对比度 最后利用线性变换恢复图像的彩色信息.实验结果表明,该
DEAP 2.1
- 避免主观因素,对投入产出指标进行综合评价,通过投影分析,得到最优投入指标(Avoid the subjective factor, the evaluation efficiency)
层次分析法
- 对不同的因素进行层次分析决断,更好的通过主观判断得出希望的结果(Make analytic decision on different factors, and get better result through subjective judgmen)
To calculate loudness and sharpness
- 计算声品质客观参量:响度和尖锐度等,为声品质主客观评价模型的建立提供基础(Calculate the objective parameters of the sound quality: loudness and sharpness, etc., to provide the basis for the establishment of the subjective and objective evaluation model of sound quality)
深入浅出数据分析.pdf
- 《深入浅出数据分析》以类似“章回小说”的活泼形式,生动地向读者展现优秀的数据分析人员应知应会的技术:数据分析基本步骤、实验方法、最优化方法、假设检验方法、贝叶斯统计方法、主观概率法、启发法、直方图法、回归法、误差处理、相关数据库、数据整理技巧;正文以后,意犹未尽地以三篇附录介绍数据分析十大要务、R工具及ToolPak工具,在充分展现《深入浅出数据分析》目标知识以外,为读者搭建了走向下一步深入研究的桥梁。 《深入浅出数据分析》构思跌宕起伏,行文妙趣横生,无论读者是职场老手,还是业界新人;无论是字
ccfci
- 在大量的评价体系中,都用到了层次分析这一方法来确定权重,虽然它主观性很强,但简单易懂,在国内广泛应用。本程序是调试好的层次分析程序,可以直接使用。(In a large number of evaluation system, have used the method of level analysis to determine the weight, although it is subjective, but easy to understand, widely used in the co