KPCAandSVMbasedonstaterecognitionoftheDieselEngine

matlab常用程序的源代码，以及演示(matlab source code for common procedures, and presentation)

产生右图所示图像f1(m,n)，其中图像大小为256×256，中间亮条为128 ×32，暗处=0，亮处=100。对其进行FFT： ① 同屏显示原图f1(m,n)和FFT(f1)的幅度谱图； ② 若令f2(m,n)=（-1）m+n f1(m,n)，重复以上过程，比较二者幅度 谱的异同，简述理由； ③ 若将f2(m,n)顺时针旋转90 度得到f3(m,n)，试显示FFT(f3)的幅 度谱，并与FFT(f2)的幅度谱进行比较； ④ 若将f1(m,n) 顺时针旋转90 度得到f4(m,n)，令f5(m,n)=f1(m,n)+f4(m,n)，试显 示FFT(f5)的幅度谱，并指出其与FFT(f1)和FFT(f4)的关系； ⑤ 若令f6(m,n)=f2(m,n)+f3(m,n)，试显示FFT(f6)的幅度谱，并指出其与FFT(f2)和 FFT(f3)的关系，比较FFT(f6)和FFT(f5)的幅度谱。(Generating an image f1 (m, n) shown in the figure, wherein the image size is 256 256, the intermediate light bar 128 32 0 = dark, bright Department 100. Its FFT: ① screen display picture f1 (m, n) and the FFT (f1) of the amplitude spectrum ② If so f2 (m, n) = (-1) m+n f1 (m, n), repeat The above process, comparing the amplitude spectrum of the similarities and differences between the two, brief reasons ③ If f2 (m, n) 90 degrees clockwise to get f3 (m, n), try to display FFT (f3) the amplitude spectrum and with the FFT (f2) comparing the amplitude spectrum ④ If f1 (m, n) obtained by 90 degrees clockwise f4 (m, n), so f5 (m, n) = f1 (m, n)+f4 (m, n ), try to display FFT (f5) amplitude spectrum, and pointed out its relationship with the FFT (f1) and FFT (f4) of ⑤ If so f6 (m, n) = f2 (m, n)+f3 (m, n) and try to display the FFT (f6) amplitude spectrum, and pointed out its relationship with the FFT (f2) and FFT (f3), comparing FFT (f6) and FFT (f5) amplitude spectrum.)

Frequency offset estimation in 802.11a OFDM preamble

说明：  BP source code for matlab

μ律（美国标准，μ=255）pcm，包括编码、解码过程(μ-law (American Standard, μ = 255) pcm, including encoding, decoding)

使用改进后的全变分算法对地震剖面进行处理，可以提高地震剖面的分辨率，增加信噪比。(Using the improved algorithm, total variation seismic processing, can improve the resolution of seismic profiles, increased signal to noise ratio.)

源代码是一个非常考脑筋的事情 你不要再为难我了 谢谢 这个网站很好(yuandaima)

Sample code for testing OK6410 braod card client/server communication

说明：  广义预测控制仿真的源代码将在这里展示，用MATLAB进行仿真。(a good simulation is shown.)

matlab实现决策树C4.5算法,首先利用训练数据创建决策树，再用测试数据对决策树进行剪枝。(C4.5 decision tree algorithm matlab realize, first use training data to create decision trees, and then test data for decision tree pruning.)