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ENVI_IDL二次开发中文培训教程.IDL是VC、VB、JAVA、FORTRAN、MATLAB、OPENGL等语言的集成。非常棒！！！在地球科学（包括气象、水文、海洋、土壤、地质、地下水等）、医学影像、图像处理、GIS系统、软件开发，大学教学，实验室，测试技术，天文，航空航天、信号处理，防御工程，数学统计及分析，环境工程等很多领域，IDL语言都可以得到广泛而又深远的应用。-ENVI_IDL Chinese secondary development training course. IDL i
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e book for statistical signal processing estimation and detection.
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e book for statistical signal processing estimation and detection.
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A toolbox for R statistical package which provides a set of functions for performing digital signal processing-A toolbox for R statistical package which provides a set of functions for performing digital signal processing
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发表在IEEED，用HMM做信号的小波去噪和检测的论文，引用率非常高-Wavelet-Based Statistical Signal Processing
Using Hidden Markov Models
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Developing an Isolated Word Recognition System
in MATLAB.
Speech-recognition technology is embedded in voice-activated routing systems
at customer call centres, voice dialling on mobile phones, and many other
everyday applications. A robust s
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本程序实现了信号、二维图像、估值滤波器的自相关运算。-This program is the method of calculating the auto-correlation function, it is used in
statistical studies,signal and image processing, estimation filtering ...etc.
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对图像进行二维离散小波变换, 变换级数大于等于3级,然后进行阈值化处理(阈值约为10左右),再统计系数中0的个数（百分比表示）并进行重构, 最后计算重构图像的峰值信噪比(PSNR). -Two-dimensional discrete wavelet transform image transformed series is greater than or equal to 3, and then processing thresholding (threshold of about 10 or
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二维离散小波变换(Mallat快速算法)对图像进行二维离散小波变换, 变换级数大于等于3级,然后进行阈值化处理(阈值约为10左右),再统计系数中0的个数（百分比表示）并进行重构, 最后计算重构图像的峰值信噪比(PSNR).
数据：灰度图像lena.bmp或其它图像, 滤波器系数可以调用matlab中的wfilters函数获得, wfilters函数的使用请在matlab中help wfilters.-Two-dimensional discrete wavelet transform (Ma
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Wavelet-based statistical signal processing using hidden markov models
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本科毕业论文。盲信号处理及在工业上的应用。除论文原文外，有外文原文及翻译，答辩PPT，程序设计（ICA图像分离，语音信号分离，统计过程监控）-Undergraduate thesis. Blind signal processing and its application in the industry. In addition to the original paper, there are foreign language and translation of the original re
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Fundamentals of Statistical Signal Processing-The Fundamentals of Statistical Signal Processing
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