Description: 利用OpenCv开发的一个基于adaboost算法和haar小波变换的人脸算法,具体情况可参考Paul Viola ,Robust Real-Time Face Detection,2004-OPEN development of the use of an algorithm based on adaboost haar wavelet transform and the Face algorithm specific reference Paul Viola, Robust Real-Time Face Detection, 2004 Platform: |
Size: 1463 |
Author:老余 |
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Description: 通过设计VC程序对简单的一维信号在加上了高斯白噪声之后进行Daubechies小波、Morlet小波和Haar小波变换，从而得到小波分解系数；再通过改变分解得到的各层高频系数进行信号的小波重构达到消噪的目的。在这一程序实现的过程中能直观地理解信号小波分解重构的过程和在信号消噪中的重要作用，以及在对各层高频系数进行权重处理时系数的选取对信号消噪效果的影响。-through the design process to a simple one-dimensional signal with a Gaussian white noise after Daubech ies wavelet Morlet wavelet and Haar wavelet transform, and thus the wavelet coefficients; Decomposition again by changing the levels of high frequency coefficients of the wavelet reconstruction signal to eliminate noise purposes. In this program the process can intuitively understand wavelet decomposition process and the reconstruction of the Signal Noise Canceling the important role and the layers of high-frequency coefficients weight coefficient handling of the selection of signal denoising effects of. Platform: |
Size: 161420 |
Author:牛牛 |
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Description: 本程序是在visual C++环境中基于haar小波变换实现人脸检测。-This procedure is in visual C++ environment haar wavelet transform based face detection. Platform: |
Size: 1093632 |
Author: |
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Description: 原始信号是含有奇异点的信号，为确定该奇异点的时间，采用haar小波进行连续小波变换后，在对系数进行分析处理。-The original signal is containing singular point of the signal, in order to determine the singular point time, adopting haar wavelet to continuous wavelet transform, the coefficients in analyzed with.
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Size: 4096 |
Author:赵子龙 |
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Description: 最简单的haar 小波变换，基于opencv写的，希望对你有帮助-The easiest haar wavelet transform based on opencv write, I hope to help you Platform: |
Size: 1190912 |
Author:燃情岁月 |
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Description: 初步認識哈爾小波轉換,使用哈爾小波對圖片做降解析度(可調階層數)-Initial understanding of Haar wavelet transform using Haar wavelet resolution pictures do drop (adjustable hierarchy number) Platform: |
Size: 1312768 |
Author:劉俊麟 |
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Description: 利用哈尔小波变换进行分尺度分析并计算每个尺度下的能量-Use Haar wavelet transform to analyze and calculate the energy sub-scales under each scale Platform: |
Size: 1024 |
Author:aero |
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Description: 在理解了离散小波变换的基本原理和算法的基础上，通过设计VC程序对简单的一维信 号在加上了高斯白噪声之后进行Daubechies小波、Morlet小波和Haar小波变换，从而得到小波分解系数；再通过改变分解得到的各层高频系数进行信号的小波重构达到消噪的目的。在这一程序实现的过程中能直观地理解信号小波分解重构的过程和在信号消噪中的重要作用，以及在对各层高频系数进行权重处理时系数的选取对信号消噪效果的影响。-In understanding the basis of discrete wavelet transform basic principles and algorithms, through the design VC program Daubechies wavelet, Morlet wavelet and Haar wavelet transform after a simple one-dimensional signal plus a Gaussian white noise, resulting wavelet coefficients wavelet reconstruction signal again by changing the layers to achieve high-frequency coefficients decomposed noise cancellation purposes. Can intuitively understand wavelet decomposition and reconstruction process and an important role in signal de-noising in the process of implementation of this program, and in the high-frequency coefficients when the weight of the layers selected for signal processing coefficients denoising affected. Platform: |
Size: 159744 |
Author:赵远洋 |
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Description: the Matlab project contains the source code used for simple watermarking using wavelet transform. Performs watermarking of the input image by decomposing the image using haar wavlet. Noise generated with normal distribution is used as the key and is added to the input image to obtain the watermarked image. Platform: |
Size: 1024 |
Author:santosh |
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Description: 运用VHDL语言对haar小波变换进行变换的其他程序。-Using VHDL language haar wavelet transform other program transformation. Platform: |
Size: 16384 |
Author:nancy |
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Description: 简单的利用小波变换的性质，实现了对接收辐射波谱的寻峰(By simply using the property of wavelet transform, the peak of received radiation spectrum is achieved.) Platform: |
Size: 1024 |
Author:Silliee |
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Description: 利用Harr将图像进行3层小波变换，并进行重建。里面包含测试图片及变换后系数重新排列后的结构图。(Harr is used to transform the image into three-layer wavelet transform and reconstruct it. It contains the test picture and the structure chart of the coefficient rearrangement after transformation.) Platform: |
Size: 1517568 |
Author:小白菜地里黄 |
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