Counting-a-Detection-of-White-Blood-Cells

信息论的有关信息指标的计算，很有用。在MATALB7.x下调试通过。(information, the relevant information, which was the basis for useful. Under the MATALB7.x through debugging.)

A PIV Post-processing and data analysis toolbox(The PIVMat Toolbox for Matlab contains a set of command-line functions to import, post-process and analyse 2- and 3-components vector fields from PIV (particle image velocimetry), stereo-PIV, DIC (digital image correlation) SS (synthetic schlieren) or BOS (background-oriented schlieren) applications. Main Features: - Import vector fields from PIV (Particle Image Velocimetry) or other related technics, such as DIC (Digital Image Correlation), SS and BOS (Synthetic Schlieren and Background-oriented Schlieren). - Compatibale with files from DaVis (LaVision), DPIVSoft (Meunier & Leweke), VidPIV (Oxford Laser), MatPIV and Optical Flow. - Standard vector field operations: interpolation, filtering (median, Butterworth...), averaging (temporal, spatial, azimuthal...), derivatives computation (vorticity, divergence, strain, Q-factor...) - Fully vectorized: all operations directly apply on arrays of fields (no for loops) - More than 60 functions with full on-line documentation sampl)

关于普朗克分布的详细讨论。（在mathematica环境下开发）(A detailed discussion of Planck distribution )

数字信号处理中，希尔伯特变换器优化设计研究学习(Digital signal processing, the Hilbert converter optimized design of the study)

channel estimation for ofdm using legendre polynomials

关于 matlab的一些应用说明，图像处理中均衡化的应用。文件简单容易明白，而且篇幅少(some of the Matlab Application Note, image processing and balanced application. Document simple and easy to understand, but space!)

针对阵列波束形成问题，研究干燥比对输出信噪比的影响。(For array beamforming problem, the code simulates the effect of the INR on the SNR. )

This material is about motor control algorithms implemented with matlab source codes.

核磁共振的原理介绍，以及其相关领域的发展，介绍了脑功能成像的原理的处理技术(Introduce the principle of nuclear magnetic resonance, and its related fields of development, introduced the principle of functional brain imaging processing technology)

信任函数理论，也称为D-S证据理论，是经典概率理论的扩展。特别适应于决策级信息融合。(Belief function theory, also known as DS evidence theory is an extension of classical probability theory. Especially adapted to Decision Level Information Fusion.)