ea-turbo-v2

The aim of this diploma thesis is to implement all compulsory features of the WiMAX OFDM physical layer specified in IEEE 802.16-2004 in Matlab Simulink.

自适应滤波程序，选用的是维纳滤波、最小二乘法、最陡下降法、均方最小二乘法等(Adaptive filtering process, the choices are the Wiener filter, least squares method, steepest descent method, mean square least squares method)

It is used to classify the attributes using abc colony algorithm

文对静态图像的压缩方法作了较深入的研究，利用多分辨分析对图像进行分解，并利用小波的标量量化图像压缩编码算法对图像进行压缩，其间对原算法进行了研究和探讨；在上述理论工作的基础上，应用Matlab仿真实现了相应的算法。实验结果证明，基于小波的标量量化图像压缩编码算法是可行的和有效的。(A deep researeh on static image compression 15 presented in this paper. on the basis of theoretical work above，programming achieves corresponding algorithm. It’s proved that programming achieves corresponding algorithm image compression and image code.)

故障信号的采样值，采样频率为100KHZ(Fault signal samples, the sampling frequency is 100KHZ)

(1) 读取n副连续有重叠部分的图像，在n副图像中检测SIFT特征，并用SIFT 特征描述子对其进行描述。 (2) 匹配相邻图像的特征点，并根据特征点向量消除误匹配。 (3) 使用RANSAC方法，确定变换参数。 (4) 图像融合 ((1) Read n successive overlapping sub-part of the image, the image of the n sub-SIFT features detected and characterized using SIFT descriptors be described. (2) adjacent to the image feature point matching, and according to the feature vector to eliminate false matching points. (3) using RANSAC approach to determine the transformation parameters. (4) image fusion)

基带调制以及解调所用代码，适用于各种QAM调制以及解调(Base-band modulation and demodulation used in code, applicable to a variety of QAM modulation and demodulation)

多主成分分析和LDA模型结合算法，用于文本识别。(MPCA: Multilinear Principal Component Analysis of Tensor Objects)

超宽带通信压缩感知信道估计与信号检测方法(Ultra Wide-Band Channel Estimation and Signal Detection Through Compressed Sensing )

基于目标红外特征的图像分割方法为区域生长法(Image segmentation method based on target infrared image segmentation method for region growing method)