Ojala_LBP_PAMI02

a pre-processing box for standard Microarrays data set

说明：  　通过在MA TLAB 图形窗口中加入菜单及控制, 实现直接对窗口对象的操作, 建立了一个 适合用户需要的语音分析处理平台, 并给出了一般的设计方法.(MA TLAB graphics window by adding menus and control, the direct operation of the window object, the establishment of a voice suited to user needs analysis and processing platform, Further calculation and analyzation of the design Fangfa.)

平衡方程Matlab代码,通过对力的分析，建立起来的力的数学解析表达式(Equilibrium equation of Matlab code, and through the analysis of the force, set up mathematical analytical expression of the force)

解优化问题的单纯形法，用矩阵形式推导完成，后附变量解释和大体流程解释。(Simplex method to solve optimization problems, reducted from matrix, following is variable explaination and general process explaination.)

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)

Matlab code Hurst and rescaled range

matlab codes for fiber Bragg gratings

说明：  合成孔径雷达成像RD算法源码 ，运行是正确的 对学雷达成像的有用(Synthetic aperture radar imaging algorithm RD-source, running is the right to learn the usefulness of radar imaging)

Three Phase Controlled AC Voltage Controller

chapter 2 matlab files