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yuyinxinhaochuli
利用matlab能够实现语音信号的分割与储存(Can be achieved using matlab segmentation and storage of speech signals)
- 2009-11-19 21:14:01下载
- 积分：1
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BPSK
BPSK仿真程序，可以直接运行，保证无错，可统计误码率，观察功率谱变化。(BPSK simulation program can be run directly, to ensure error-free, statistical error rate can be observed power spectrum changes.)
- 2011-06-09 03:09:29下载
- 积分：1
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Appendix1B_K_cross_validation
sourse code for cross validation
- 2013-09-15 19:34:45下载
- 积分：1
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networks-lab-manual-ECP62
Networking stimulator manual using matlab coding
- 2014-10-10 01:38:05下载
- 积分：1
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APcluster
apclustering完整程序代码，供大家参考学习(apclustering complete program code, for your reference learning)
- 2013-02-19 16:15:53下载
- 积分：1
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DigitalImageProcessingUsingMatlab_muya
Ebook on digital image processing using matlab in pdf format
- 2009-09-07 11:41:24下载
- 积分：1
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15615
说明： matlab一维提升小波变换，二维提升小波变换(matlab one-dimensional wavelet transform, two-dimensional lifting wavelet transform)
- 2010-05-04 11:55:43下载
- 积分：1
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classify
Image Texture Classification Using Combined Grey Level Co-Occurrence Probabilities and Support Vector Machines
Texture refers to properties that represent the surface or structure of an object and is defined as something consisting of mutually related elements. The main focus in this study is to do texture segmentation and classification for texture digital images. Grey level co-occurrence probabilities (GLCP) method is being used to extract features from texture image. Gaussian support vector machines (GSVM) have been proposed to do classification on the extracted features. A popular Brodatz texture album had been chosen to test out the result. In this study, a combined GLCP-GSVM shows an improvement over GLCP in terms of classification accuracy.
- 2012-05-25 22:21:28下载
- 积分：1
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goGPS_v0.4.3
开源的gps matlab程序,包括最小二乘卡尔曼滤波\lambda算法电离层修正\对流层修正星钟修正等 很好的GNSS学习参考(open source of gps, programme in matlab,include LS, ekf, lambda, iono,tron,etc good for gnss study)
- 2015-09-05 15:56:57下载
- 积分：1
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svm2
说明： 支持向量机最初用来解决模式识别问题，目的是发现泛化性能好的决策规则。然而，随着Vapnik的 不敏感损失函数的引入，支持向量机已经扩展为解决非线性回归估计问题，而且与神经网络方法相比，有着显著的优越性，被认为是人工神经网络方法的替代方法，已经成为目前机器学习领域的研究热点和焦点。(Support vector machine (SVM) was originally used to solve the problem of pattern recognition. However, with the introduction of Vapnik's insensitive loss function, support vector machine (SVM) has been extended to solve the problem of nonlinear regression estimation. Compared with neural network method, support vector machine (SVM) has obvious advantages. It is considered as an alternative method of artificial neural network method, and has become the research hotspot and focus in the field of machine learning.)
- 2020-07-01 14:07:02下载
- 积分：1
