Speech-Processing-using-MATLAB

超声声场的线性描述与仿真工具，可以作为超声系统的研究有用工具，根据不同的输入 ，得到不同的超声图像，验证自己的算法。(The linear ultrasonic sound field description and simulation tool that can serve as a useful tool for study of ultrasound systems, depending on the input, get a different ultrasound images to verify their algorithms.)

线性调频信号，sar合成孔径雷达点目标成像，一维成像(Chirp signal, sar SAR point target imaging, a one-dimensional imaging)

医学图像分割，对人的ct图像效果较好，对一般的图像较差，可以借鉴(Medical image segmentation, image effect on human ct good image of the poor in general, can learn)

WBAN Simulation code with Matlab

旋转图形的Matlab的源代码，可以任意修改，且易读性强(Rotating graphics Matlab source code can be modified, and the legibility strong)

以r=6 1 103F为基础，抽取出其他m序列，在生成的m序列集中，寻找出m序列优选对，确定优选对数量，并画出它们自相关和互相关函数图形；(Based on the r = 6 1 103 f, extract other m sequence, concentrated in the generated m sequence, selection to find the m sequence, determine the optimum number of, and draw them autocorrelation and cross-correlation function graph )

说明：  利用矩量法求解Hallen方程 画出场的电流分布(Hallen method of moment equations current distribution appearances painting)

实现基于变步长LMS算法的自适应均衡器,滤波器阶数为2，输入信号为零均值，方差为1的高斯白噪声(implement an adaptive equlization basing on the changed_step LMS algorith)

一种求解信号DOA的方法。该方法首先将DOA的估计转化为MMV问题，然后采用联合稀疏约束将其转化为带稀疏约束问题的求解。(A method of solving signal DOA. Firstly, the DOA estimates into MMV problem then will be transformed into the solving of the problems with sparse constraint joint sparse constraints.)

The fusion of high-spectral/low-spatial resolution multispectral and low-spectral/high-spatial resolution panchromatic satellite images is a very useful technique in various applications of remote sensing. Recently, some studies showed that a wavelet-based image fusion method provides high quality spectral content in fused images. However, most wavelet-based methods yield fused results with spatial resolution that is less than that obtained via the Brovey, IHS, and PCA fusion methods. In this paper, we introduce a new method based on a curvelet transform, which represents edges better than wavelets. Since edges play a fundamental role in image representation, one effective means to enhance spatial resolution is to enhance the edges. The curvelet-based image fusion method provides richer information in the spatial and spectral domains simultaneously. We performed Landsat ETM+ image fusion and found that the proposed method provides optimum fusion results.