Solving-nonlinear-equations-with-Newtons-method

fft算法实现，通过matlab语言实现对fft算法的变成实现(solve fft)

this is simmulation QPSK modulation in rayleigh channel

this matlab code for LS and MMSE channel estimation

基于MATLAB图像处理技术随书源代码第八章(MATLAB-based image processing technology with the book source code Chapter VIII)

文章讲述了现在韩国的频谱政策和动态频谱接入技术。过去韩国的频谱管理政策需要特权，并且只有一小部分频谱可以公用。随着无线技术的发展，现在，韩国政府，使用了机遇动态频谱接入的新型频谱策略，例如LBT技术用于REID，UWB和FACS等。MIC还考虑如何在DTV过渡完成后，重新分配频谱。新型的无线电技术如认知无线电和SDR将在UHF边带中应用新的服务。MIC试图用一用有效地方式开放频谱并接受新技术用于频谱策略中。(In this paper, we introduce spectrum policies and dynamic spectrum access technologies in Korea. In the past, Korea spectrum management was the command and control with exclusive usage rights and small portions of spectrum commons bands. With the development of the radio technologies, Recently, Korea government, MIC(ministry of information and com- munication), has been adopting new spectrum policies based on dynamic spectrum access technology such as LBT(Listen Before Talk) for RFID, UWB, and FACS(Flexible Access Common Spectrum) etc. MIC is also considering spectrum reallocation of digital dividend bands after DTV transition. New radio techniques such as cognitive radio and SDR will be applied to new services in this UHF band. MIC is trying to open the radio spectrum in an efficient way and adopt new technology into spectrum policy. Thus MIC is extending the open spectrum such as spectrum commons and spectrum liberalization bands. )

MIT 数据挖掘原理。。。。数据挖掘原理(MIT Data Mining Principles. . . . Principles of Data Mining)

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.)

利用低通、带阻FIR以及IIR技术对心电图上附加的白噪声、高斯噪声等进行滤波还原操作（内附心电图数值样品）。(We use low-pass, band stop FIR and IIR technology to filter and restore the additional white noise and Gauss noise on ECG.)

经典的Harris角点检测程序，用matlab编的，可以参考(classic Harris corner detection procedures, using Matlab series, we can make reference to)

SAPHER FUNCTION FOR OPTIMAZATION