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ma_by
- The Matlab functions and scr ipts in the MA toolbox are: - ma_sone wav (PCM) to sone (specific loudness sensation) - ma_mfcc wav (PCM) to MFCCs (Mel Frequency Cepstrum Coefficients) - ma_sh sone to Spectru
200281405722_20460
- 疾病专家系统,模拟专家思维来诊断是否患有某种疾病.-diseases expert system, thinking simulation experts to diagnose the presence of certain diseases.
ma_by
- The Matlab functions and scr ipts in the MA toolbox are: - ma_sone wav (PCM) to sone (specific loudness sensation) - ma_mfcc wav (PCM) to MFCCs (Mel Frequency Cepstrum Coefficients) - ma_sh sone to Spectru
Why_Programs_Fail_-_A_Guide_to_Systematic_Debuggin
- 第一本从系统化的角度来讲解发现和修正编程错误的书 调试一直是软件开发过程中“最痛苦”的环节，本书有望改变这一现状，因为它将调试的科学原理与业界的实践经验有机地融合起来，阐释了有关发现和修正程序错误的最佳方法和实践过程。-Why Programs Fail is about bugs in computer programs, how to find them, how to reproduce them, and how to fi
StudyonTheoryandMethodsofIntelligentFaultDiagnosis
- 本论文围绕核算法在故障智能诊断中的应用，对故障诊断中不确定信息的处理、故障诊断实时性的实现、核函数的选择和参数优化、多类故障诊断、早期故障的发现以及样本数据的压缩等几个方面进行了较为系统深入的研究，为核算法应用于故障诊断提供了理论依据，促进了故障诊断技术的发展。-This paper provides the theoretical foundations for the applications of kernel algorithm
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- 论述了医学图像挖掘在计算机辅助诊断中的作用，提出了采用灰度级作为 CT 图像特征的思想、灰度级的提取和存储方法，介绍 了采用决策树分类算法和基于密度的聚类算法对胸部和头部 CT 图像进行分类和聚类的结果及其分析，给出了分析的结论和进一步的研究方向。-Image mining Computer-aided diagnoses Luminance grade Classification Clustering
CTandMRIfusion
- 随着影像设备的发展及各种医学成像模式的出现, 多模医学图像融合技术已成为影像医学发展过程中一项重要 研究, 并逐渐应用到诊断、治疗领域。针对医学诊断过程中常见的CT与MRI图像采用了加权平均法、傅立叶变换及小波 变换的数学方法进行了融合实验, 并对实验结果进行了分析, 对各种算法的优缺点进行了比较。-Multi- modality medical image fusion technology has become an imp
3900001
- 本文研究的是利用奇异性指数实现对设备状态监视和故障预警功能。首先用LabVIEW 采集传感器电信号，然后对采集到的电信 号进行小波变换得到信号包络奇异点的奇异性指数，即设备运行状态的特征值-In this research project, we use LabVIEW to do wavelet-transformation to the signal collected by sensors in order to get si
huiseguanlian
- 应用灰色关联方法进行变压器油色谱故障诊断程序-Transformer oil DGA diagnoses program by gray relationship method
shahooda
- it is also a matlab code for the ecg signal analysis diagnoses
MYWORK
- this is also an ECG analyzer source code for mat lab to diagnoses-this is also an ECG analyzer source code for mat lab to diagnoses
isnns10p23
- Segmentation of structure in medical images is an important research topic. It has applications in patient diagnoses, image-guided surgery, and medical data visualization. One approach to solving this problem is th
HepatocellularCarcinoma
- Segmentation of structure in medical images is an important research topic. It has applications in patient diagnoses, image-guided surgery, and medical data visualization. One approach to solving this problem is th
ANAFDLLI
- Segmentation of structure in medical images is an important research topic. It has applications in patient diagnoses, image-guided surgery, and medical data visualization. One approach to solving this problem is th
11Vol33No2
- Segmentation of structure in medical images is an important research topic. It has applications in patient diagnoses, image-guided surgery, and medical data visualization. One approach to solving this problem is th
CE12
- used to get quantitative estimates of organ sizes and provide aid in any necessary diagnoses. Another important application is registration. It may be easier, or at least less error prone to segment objects in multip
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- used to get quantitative estimates of organ sizes and provide aid in any necessary diagnoses. Another important application is registration. It may be easier, or at least less error prone to segment objects in multip
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- used to get quantitative estimates of organ sizes and provide aid in any necessary diagnoses. Another important application is registration. It may be easier, or at least less error prone to segment objects in multip
shabanam
- used to get quantitative estimates of organ sizes and provide aid in any necessary diagnoses. Another important application is registration. It may be easier, or at least less error prone to segment objects in multip
ijsrp-p1208
- used to get quantitative estimates of organ sizes and provide aid in any necessary diagnoses. Another important application is registration. It may be easier, or at least less error prone to segment objects in multip