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Analysis and Applications of Artificial Neural Networks

说明：  对一副测试图像进行加各种噪声，然后进行多帧平均，中值滤波，均值滤波，维纳滤波，理想低通滤波，巴特沃斯低通，带通滤波，自适应滤波九种方法处理，并分析结果，得出各种滤波方法的优缺点。包括实验报告(Plus a pair of test images of all kinds of noise, and then multi-frame averaging, median filtering, mean filtering, Wiener filter, the ideal low-pass filter, Butterworth low-pass, band pass filtering, adaptive filtering nine kinds of approach and analyze the results, obtained the advantages and disadvantages of various filtering methods. Including the lab report)

LC 低通巴特沃斯无源滤波器设计 根据给出的参数值自动计算LC 取值(Butterworth passive LC low-pass filter design parameters according to the given value automatically calculated LC)

使用基于峭度的FASTICA盲分离算法，实现对四个亚高斯信号的分离，并从分离结果可总结出盲分离算法的两个不确定性。(FASTICA kurtosis-based blind source separation algorithm, to achieve the separation of the four sub-Gaussian signals, and the separation results can be summarized from the blind separation algorithm of two uncertainty.)

粒子群优化算法 ，应该直接就可运行，适合初学(particle swarm optimization)

ofdm系统仿真 含16qam调制 fft 加窗 加cp等模块，语音信号的采集与处理，数字信号处理课设，对信号进行频谱分析及滤波。( ofdm system simulation including 16qam modulation fft windowing modules plus cp, Acquisition and Processing of the speech signal, digital signal processing class-based, The signal spectral analysis and filtering.)

预报误差法参数辨识-松弛的思想，采用的是通用的平面波展开法,表示出两帧图像间各个像素点的相对情况。( Prediction Error Method for Parameter Identification- the idea of relaxation, Using common plane wave expansion method, Between two images showing the relative circumstances of each pixel.)

调用noissin.dat的数据，对其做一维DCT及逆DCT，研究对DCT的结果舍去不同点数后的重建情况(Call noissin.dat data, do their one-dimensional DCT and inverse DCT, the results of research on the DCT rounding after the reconstruction of different points)

快速学习matlab，看完之后能够掌握matlab的基础知识，进行简单编程(fast learn matlab)

使用自组织竞争神经网络将给定坐标的垃圾中转站按地理位置分类。(Use the self-organizing competitive neural network given the coordinates of garbage transfer stations classified by geographical location.)