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example03_01
在matlab中调用smooth函数进行加噪数据的平滑处理的方法代码(The M code tells how to call a function to smooth the data which be merged into the noise in Matlab )
- 2010-09-25 22:44:25下载
- 积分：1
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waveletbainyuanjiance
小波模极大值边缘检测+膨胀+闭操作+边缘跟踪
得到清晰边缘(The modulus maxima of wavelet transform edge detection+ expansion+ close operation+ edge tracking
Get the clear edge)
- 2012-03-21 19:01:53下载
- 积分：1
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jiefangcheng-
函数solve用于求解一般代数方程的根,函数desolve用以求解线性常微分方程,有5个源码实例(The function solve is used to solve the root of the algebraic equations in general, function desolve used to solve the linear ordinary differential
)
- 2012-02-12 14:56:21下载
- 积分：1
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MUSIC
MUSIC算法估计性能分析,详细的介绍了MUSIC算法估计性能(It is very useful in array signal process )
- 2009-11-26 23:43:38下载
- 积分：1
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lab3
lab3 : Spatial Filtering
- 2010-12-23 04:04:24下载
- 积分：1
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testone
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 (Mallat fast algorithm) two-dimensional discrete wavelet transform image transformed series is greater than or equal to 3, and then processing thresholding (threshold of about 10 or so), the number of re statistical coefficient 0 ( reconstruct the final calculation of the peak signal-to-noise ratio (PSNR) of the reconstructed image data: the grayscale image lena.bmp or other images, the filter coefficients can call matlab in wfilters function to obtain, wfilters function, expressed as a percentage) in matlab help wfilters.)
- 2013-03-21 00:30:33下载
- 积分：1
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robot_motion_planning
这个程序使用了遗传算法来优化点对点之间的轨迹度量。(This code proposes genetic algorithm (GA) to optimize the point-to-point trajectory planning for a 3-link (redundant) robot arm.)
- 2009-12-12 20:54:58下载
- 积分：1
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SER_QPSK_Rotated
QPSK的误符号率以及QPSK的旋转星座的误符号率源代码。(Rotation QPSK symbol error rate as well as QPSK constellation symbol error rate of the source code.)
- 2012-11-18 22:49:45下载
- 积分：1
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recognition
本实验语音库为免费的柏林情感语音库，其采样频率为16KHZ，16bit量化。该语音库共有500 句情感语音信号，分别由十名专业演员(5 男，5 女)在不同情感状态下（高兴、愤怒、平静、悲伤、害怕、厌烦、憎恨）朗读十句不同文本的德语组成。本实验选取其中的部分情感（高兴、愤怒、悲伤）加以识别。仿真实验环境为MATLAB7.0。
实验选取的情感特征为短时平均能量、短时平均幅度、基频和短时过零率。为了降低不同人在表达不同情感时的个人差异造成的影响，本文实验过程中将提取的情感特征进行归一化处理。归一化采取将同一个人的三种情感语音信号的情感特征放在一起归一化处理，并将归一化后的情感特征作为KNN分类器的训练样本和测试样本。
该实验使用了传统的KNN算法和改进算法两种识别方式，通过实验结果对比了各自的特点。
(This experiment YuYinKu for free Berlin YuYinKu emotion, the sampling frequency for 16 KHZ, 16 bit quantification. The YuYinKu 500 words of emotional speech signal, respectively by ten professional actors (5 male, five female) in different emotional state (happy, anger, sadness, fear, calm, bored, hate) read ten sentences in different text of the German. This experiment selection of part of the emotions (joy, anger, sadness) is recognized. The simulation experiment environment for MATLAB7.0.
The selection of emotional characteristics for short-term average energy, short-term average amplitude, frequency, and the short zero rate. In order to reduce the different people in different emotional expression of the impact of individual differences, the experiment process will extract emotional characteristics is normalized. The normalized will take the same three kind of emotional speech signal emotional features normalized put together, and after the normalized the emotional characteristics)
- 2012-03-06 11:30:54下载
- 积分：1
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Finger-Knuckle-Print-Authentication-based-on-KWT
FKP authentication document
- 2014-07-18 18:07:00下载
- 积分：1
