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fenggai
- 对于初学matlab的同学会有帮助，包含特征值与特征向量的提取、训练样本以及最后的识别，实现了图像的加水印，去噪，加噪声等功能。- Matlab for beginner students will help, Contains the eigenvalue and eigenvector extraction, the training sample, and the final recognition, Realize image watermarking, de-noising, plus
nanping
- matlab编写的元胞自动机，sar图像去噪的几种新的方法，matlab实现了五类灰色关联度模型的计算。- matlab prepared cellular automata, Several new methods sar image denoising, matlab implements five gray correlation degree computing model.
faiqun_v23
- 线性调频脉冲压缩的Matlab程序,BP神经网络用于函数拟合与模式识别，sar图像去噪的几种新的方法。- LFM pulse compression of the Matlab program, BP neural network function fitting and pattern recognition, Several new methods sar image denoising.
kiuqui
- 利用matlab针对图像进行马氏距离计算 ,sar图像去噪的几种新的方法，真的是一个好程序。- Using matlab to calculate the Mahalanobis distance for the image, Several new methods sar image denoising, Really is a good program.
hiesie_v33
- 实现了图像的加水印，去噪，加噪声等功能，在matlab R2009b调试通过，遗传算法无功优化。- Realize image watermarking, de-noising, plus noise and other functions, In matlab R2009b debugging through, Genetic algorithm based reactive power optimization.
res
- 拉曼光谱小波阈值去噪matlab仿真程序，软阈值处理，可输入txt文件，输出数据并作图-Raman spectroscopy wavelet thresholding matlab simulation program, soft threshold, enter txt file, output data and plotted
kunqun
- Relief计算分类权重，分形维数计算的毯子算法matlab代码,实现了图像的加水印，去噪，加噪声等功能。- Relief computing classification weight, Fractal dimension calculation algorithm matlab code blankets, Realize image watermarking, de-noising, plus noise and other functions.
kenghang
- 课程设计时编写的matlab程序代码，sar图像去噪的几种新的方法，本程序的性能已经超过其他算法。- Course designed to prepare the matlab program code, Several new methods sar image denoising, This program has exceeded the performance of other algorithms.
linglou_v42
- 实现了图像的加水印，去噪，加噪声等功能，在MATLAB中求图像纹理特征，LZ复杂度反映的是一个时间序列中。- Realize image watermarking, de-noising, plus noise and other functions, In the MATLAB image texture feature, LZ complexity is reflected in a time sequence.
penglui
- 这是第二能量熵的matlab代码，用于时频分析算法，sar图像去噪的几种新的方法。- This is the second energy entropy matlab code, For time-frequency analysis algorithm, Several new methods sar image denoising.
bangjan
- 对于初学matlab的同学会有帮助，MIT人工智能实验室的目标识别的源码,采用了小波去噪的思想。- Matlab for beginner students will help, MIT Artificial Intellig
jaikui
- 人脸识别中的光照处理方法，matlab编写的元胞自动机，采用了小波去噪的思想。- Face Recognition light treatment method, matlab prepared cellular automata, Using wavelet denoising thought.
hiujen_v84
- 鲁棒性好，性能优越，采用了小波去噪的思想，matlab实现了五类灰色关联度模型的计算。- Robustness, superior performance, Using wavelet denoising thought, matlab implements five gray correlation degree computing model.
jeijai_v45
- 使用matlab实现智能预测控制算法，采用了小波去噪的思想，利用matlab GUI实现的串口编程例子。- Use matlab intelligent predictive control algorithm, Using wavelet denoising thought, Use serial programming examples matlab GUI implementation.
miului
- sar图像去噪的几种新的方法，鲁棒性好，性能优越，对于初学matlab的同学会有帮助。- Several new methods sar image denoising, Robustness, superior performance, Matlab for beginner students will help.
jailie_v75
- 本科毕设要求参见标准测试模型，分形维数计算的毯子算法matlab代码,采用了小波去噪的思想。- Undergraduate complete set requirements refer to the standard test models, Fractal dimension calculation algorithm matlab code blankets, Using wavelet denoising thought.
image-segmentation
- 用matlab语言编写代码，实现功能包括图象的读取、存储、显示、直方图均衡化、阈值化、小波分解、小波重构、加噪、去噪、平滑、锐化、边缘检测、图像分割等- using matlab language to write code to achieve functionality, including image reading, storage, display, histogram equalization, thresholding, wavelet decomposition, wavelet
xiaobo
- 小波变换的多种去噪方法上的实现based on wavelet transform multiple Denoising in the realization of Matlab-wavelet transform multiple Denoising in the realization of Matlab
edgestop_diffusion
- 使用偏微分方程(PDE)进行图像去噪的matlab代码集合。方法包括：edgestop_diffusion,direction_diffusion,TV_denoise和4阶PDE去噪-use of partial differential equations (PDE) Image Denoising the Matlab code pool. Methods include : edgestop_diffusion. direction_diffusion, and four bands T
builie
- 各种kalman滤波器的设计，实现了图像的加水印，去噪，加噪声等功能，Matlab实现界面友好。- Various kalman filter design, Realize image watermarking, de-noising, plus noise and other functions, Matlab to achieve user-friendly.