kpca

power_Transfo3phCoreType.rar,功率电子领域matlab仿真文件，已经验证过，程序运行正常(power_Transfo3phCoreType.rar, Power electronics field matlab simulation file, has already been verified, the normal operating procedures)

机器人仿真程序，有界面和运行系统，供初学者学习(robot simulator，just for preliminary learner to study。Thank you very much。haha )

the effect of position on the pzt4 transducer

Matlab for engineering programs.

国外计算机科学教材系列，模式识别第四版课后习题部分matlab源码，李晶皎，王爱侠等译(Foreign computer science textbook series, the fourth edition of after-school exercise part of pattern recognition matlab source, Jiao Jing, Wang Aixia translated)

中心切片定理，主要用于医学图像重建的matlab程序代码(Central slice theorem, mainly for medical image reconstruction matlab code)

广义Tikhonov正则化及其正则参数的先验选取(Generalized Tikhonov Regularization and Prior Selection of Regular Parameters)

Compendium of PDE using MATLAB

说明：  本程序实现了CT系统在锥形束等距投影情况下，2D图像的重建(This procedure achieved a cone-beam CT system in the case of isometric projection, 2D image reconstruction)

将压缩感知用于谱估计中，根据论文谱压缩感知的一些程序(Compressive sensing (CS) is a new approach to simultaneous sensing and compression of sparse and compressible signals based on randomized dimensionality reduction. To recover a signal from its compressive measurements, standard CS algorithms seek the sparsest signal in some discrete basis or frame that agrees with the measurements. A great many applications feature smooth or modulated signals that are frequency sparse and can be modeled as a superposition of a small number of sinusoids. Unfortunately, such signals are only sparse in the discrete Fourier transform (DFT) domain when the sinusoid frequencies live precisely at the center of the DFT bins. When this is not the case, CS recovery performance degrades significantly. In this paper, we introduce a suite of spectral CS (SCS) recovery algorithms for arbitrary frequency sparse signals. The key ingredients are an over-sampled DFT frame, a signal model that inhibits closely spaced sinusoids, and classical sinusoid parameter e)