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Matlab Image Processing Part 3

三种信号进行EMD分解，IMF分量绘图 进行比较显示(Three signals for EMD decomposition, IMF component drawing comparison shows)

三种不同角度下的加权融合算法，MATLAB源代码实现，有效提高了估计精度。(Weighted fusion algorithm under three different angles, MATLAB source code, effectively improve the estimation accuracy.)

交互多模型算法基本框架，用于机动目标跟踪的程序源码(kalman filter and the basic procedural framework for the uniform straight line tracking)

mimo 信道仿真时均衡器的实现与仿真 性能分析(simulation of the ZF/MMSE equalizer for mimo channel model)

说明：  使用matlab中的simulink，通过DSP Builder进行编译成quartus可用的vhdl文件，简化实际工作量的流程方法(Use matlab in simulink, through the DSP Builder to compile into a vhdl file quartus available, simplifying the process method of the actual workload)

MATLAB源码，P0301：数字图像矩阵数据的显示及其傅立叶变换 P0302：二维离散余弦变换的图像压缩 P0303：采用灰度变换的方法增强图像的对比度 P0304：直方图均匀化 P0305：模拟图像受高斯白噪声和椒盐噪声的影响 P0306：采用二维中值滤波函数medfilt2对受椒盐噪声干扰的图像滤波 P0307：采用MATLAB中的函数filter2对受噪声干扰的图像进行均值滤波 P0308：图像的自适应魏纳滤波 P0309：运用5种不同的梯度增强法进行图像锐化 P0310：图像的高通滤波和掩模处理 P0311：利用巴特沃斯（Butterworth）低通滤波器对受噪声干扰的图像进行平滑处理 P0312：利用巴特沃斯（Butterworth）高通滤波器对图像进行锐化处理(MATLAB source code, P0301 : Digital image data matrix display and Fourier Transform P0302 : Two-dimensional discrete cosine transform image compression P0303 : Gray used a new method to enhance the contrast of the image P0304 : histogram equalization P0305 : Simulation images by white Gaussian noise and Impulse noise impact P0306 : 2D median filtering function medfilt2 right by the Salt and Pepper image noise filtering P0307 : MATLAB filter2 the function of noise interference by the image filtering P0308 : Image Adaptive Filter Weiner P0309 : use five different gradient Enhancement Act for image sharpening P0310 : Images of the high-pass filtering and mask handling P0311 : use Butterworth (Butterworth) low-pass filter to noise interference by the image smoothing P 0312 : Butterworth (Butte)

bayes shrink denoising

Matlab的GUI中使窗口最大化，充满整个窗口(Matlab GUI to maximize window, full of the entire window )

降低OFDM峰均功率比的硕士优秀论文，内容比较全面，值得参考(Reduced OFDM PAPR outstanding master s thesis, content more comprehensive, it is also useful)