CT三维重建

最近在看hl2,发现mdl模型必须从36转到37,哈哈,恰好看到此贴,非常感谢。(recently watching hl2, mdl model must be found from 36 to 37, haha, just to see patch. Thank you very much.)

压缩感知方法演示，1-D信号压缩传感的实现(正交匹配追踪法Orthogonal Matching Pursuit) 测量数M>=K*log(N/K),K是稀疏度,N信号长度,可以近乎完全重构(1-D signal is compressed sensing to achieve (orthogonal matching pursuit method Orthogonal Matching Pursuit) number of measurements M> = K* log (N/K), K is the sparsity, N signal length, can be almost completely reconstructed)

feature extraction using gabor filter.

通过matlab编程，实现了快速傅里叶基4的变换(Through matlab programming, achieve a fast Fourier transform base 4)

快速掌握matlab的书籍.matlab实例编程一百个源程序(Quickly learn matlab books. Matlab source code examples of programming 100)

matlab仿真编程 主要是关于太阳能MPPＴ的，自己调调看吧(matlab simulation program is mainly about the solar MPPT, and his tone and see)

可以进行信道估计,准确得到信道的冲激响应，比普通的LS算法性能较好。(evaluate the pulse response of channal)

说明：  多网格的源程序，希望对大家有帮助，好东西一起分享(Multi-grid source, we want to help, to share good things)

说明：  基于鱼眼效果的产生图像，里面是比较简单的原理代码，方格图成像(Fish eye effect on the production images, which is a relatively simple principle of the code, grid map imaging)

DFT进行频谱分析时的三种现象 1、混叠：对连续信号采样，要求连续信号是带限的，采样频率要足够高。Fs应满足Nyquist采样定理才不产生混叠。 采样前加低通滤波器防混叠 2、频谱泄漏：DFT对时域信号进行了截断（相当于采样信号乘了一个窗函数），时域的乘积相当于频域卷积，改变了原信号频谱。 改用其他窗函数（非矩形）改善泄漏。 3、栅栏现象：DFT 只给出了频谱在采样点上的取值，采样点间的频谱内容丢失。(DFT spectrum analysis of a three phenomena, aliasing : continuous signal sampling, requiring continuous signal is band-limited, the sampling frequency should be high enough. Fs meet the Nyquist Sampling Theorem would not have aliasing. Sampling former low-pass filter plus anti-aliasing 2, spectrum leakage : DFT right time domain signal a disconnect (equivalent to a sampling signal by a window function). time domain is equivalent to the product of frequency-domain convolution, changes in the spectrum of the original signal. Window functions to switch to other (non-rectangular) to improve leakage. 3, fenced phenomenon : DFT spectrum is given only at the sampling point value, sampling points of the spectrum as lost.)