IEEEOPF14

用子空间分解法求出时延估计，这种方法具有较强的抗噪声性能(Calculated using subspace decomposition delay estimation, this method has strong anti-noise performance)

说明：  自己写的isodata和C均值matlab程序，文件带注释，简单易懂(Wrote it myself isodata and C mean matlab programs, files with comments, easy to understand)

MEDIAN FILTER DESIGN FOR THE REMOVAL OF NOISE FROM HIGHLY CORRUPTED IMAGES

说明：  Kalman 滤波的实际介绍 对于初学卡尔曼滤波的同学来说是一份非常好的参考资料哦！(Practical introduction to Kalman filter Kalman filter for beginner students is a very good reference Oh!)

压缩文件中给出了已知系统传递函数及输入信号的情况下，求解系统输出响应的四种方法，即差分方程法，卷积法，DFT法以及滤波器设计方法；此外还包含创建窗及其频率响应的matlab设计。(Known compressed file system transfer function is given and the case of the input signal, the output response of the system to solve the four methods, namely the differential equation method, convolution, DFT method and the filter design methods Also included creating windows and its frequency response matlab design.)

optimal power flow using partical swarm optimization

输入各个字符及对应出现的次数 ； 建立赫夫曼树并对各个字符进行编码 ；然后 对 输入 的 二进制 串进行 译码(Enter the various characters and the corresponding number of emerging establish Huffman tree and the various characters coding then enter strings of binary decoding)

说明：  在MATLAB环境下仿真瑞利信道容量与信噪比的关系(In MATLAB simulation Rayleigh channel capacity and SNR relationship )

Color Image Enhancement Techniques: A Critical Review Abstract Image enhancement is one of the key issues in high quality pictures such as digital camera and HDTV. Since Image clarity is very easily affected by lighting, weather, or equipment that has been used to capture the image. These conditions lead to image may suffer from loss of information. As a result, many techniques have developed known as image Enhancement techniques to recover the information in an image. This paper presents a literature review on some of the image Enhancement techniques for color image enhancement like, Contrast Stretching, Histogram Equalization and its improvement versions, Homomorphic Filtering, Retinex, and Wavelet Multiscale Transform. Comparison of all the techniques concludes the better approach for its future research

基于局部误差的RBF神经网络辨识的MATLAB仿真程序,有注释(Based on local error of RBF neural network identification MATLAB simulation program)