code

Matlab function. Laplacian enhancement technique described in connection with Eq. (3.7-5). Use the mask shown in Fig. 3.39(d). Gonzalez. Image Processing

文件中包含word文档报告 设雷达采用匹配滤波完成脉冲压缩，采集频率fs=420MHz，仿真雷达回波，并绘出家Hamming窗前后的脉压波形。（提示：通过正确设定采集波门，减少数据量） 设雷达采用Dechirp方式完成脉冲压缩，其中参考距离位于（0，0），采集频率为10MHz，距离采样点数512点，仿真雷达回波，并绘出加Hamming窗前后的脉压波形（提示：通过正确设定采集波门，减少数据量）。(Word document file contains the report of the completion of matched filter-based radar uses pulse compression, gathering frequency fs = 420MHz, simulation of radar echo, and draw the house after the pulse pressure waveform Hamming window. (Hint: By setting the correct collection wave door, reducing the amount of data), based radar uses pulse compression Dechirp manner, in which reference distance at (0,0), collection frequency of 10MHz, from the sampling points 512 points, simulation, radar echo, and draw the increase of pulse pressure waveform after the Hamming window (hint: set up collection waves through the correct door, reducing the amount of data).)

digital control systems in Z on Matlab

利用MATLAB产生m序列 产生m序列图形 这是一个m序列的MATLAB产生程序(Sequence generated using MATLAB m m sequence generated graphics This is a MATLAB m sequence generation process)

audio system configration manul(base android4.4 audio system configration manul)

3D shape reconstruction matlab code. It used shape from defocus technique with least squares. You can reconstruct 3D shape with only two different depth images.

conitnue for last m file

pca算法，有详细注释，通过光谱区分苹果酸甜度，对于想学习pca算法的初学者，有很大帮助(pca algorithm, detailed notes, by spectroscopic distinguish sour apple degree, want to learn pca algorithm for beginners, there are a great help)

Image enhancement in frequency domain using Fourier center frequency, Gaussian lowpass filter, Low pass filter, high pass filter. Image restoration using medean filter, weiner filter with noise generator such as Gaussian noise, Salt and Pepper noise

基于免疫禁忌混合算法的多目标最优潮流计算[PDF].(Multi-objective Optimal Power Flow Calculation Based on Immune/Tabu Search Hybrid Algorithm)