harris

在matlab下编程使用jacket工具包进行GPU加速图像平滑算法，对900×900的图像平滑可达8倍多的加速比。需要jacket工具包及cuda toolkit。(In matlab programming toolkit used jacket GPU-accelerated image smoothing algorithm, the 900,900 image smooth acceleration up to 8 times more than that. Need jacket toolkit and cuda toolkit.)

Bit-power loading algorithms based on Effective SINR Mapping techniques. Bit-power loading algorithms based on Effective SINR Mapping techniques. Bit-power loading algorithms based on Effective SINR Mapping techniques. (Bit-power loading algorithms based on Effective SINR Mapping techniques. Bit-power loading algorithms based on Effective SINR Mapping techniques. Bit-power loading algorithms based on Effective SINR Mapping techniques. Bit-power loading algorithms based on Effective SINR Mapping techniques. )

空时码中的STBC技术编码方案，包括采用2发1收天线和单发单收天线的源码(Space-time code of STBC technical coding schemes, including the use of 2-fat one received antenna and single antenna, single-source collection)

These are orthogonal complimentary code version of walsh codes which are or to be used in cdma systems.

说明：  此MATLAB程序用于读取MIT-ECG数据、将二进制数据转换为十进制数据(The MATLAB program used to read the MIT-ECG data, binary data is converted to decimal data)

本代码分析了全光纤微环谐振器的传输特性，同时分析了谐振器的参数如光纤的直径、微环的半径等，对谐振器的性能如自由光谱范围（FSR）及品质因子Q值的影响。(This code analyze the transmission characteristics of all fiber optic micro-ring resonators and the relation between the resonator parameters, such as the diameter of the optical fiber, the radius of the micor-ring, and the performance of the micro-ring, such as the free spectral range (FSR) and the quality factor Q .)

foptions.m, filtering for matlab

matlab教学资料，很好的，一定对你有帮助的哦。(matlab teaching materials, very good, definitely help you, oh.)

包括单边带、双边带、载波抑制及四倍频,包含收发两个客户端的链路级通信程序,图像的光流法计算的matlab程序。( Including single sideband, double sideband, suppressed carrier and quadruple, Contains two clients receive link-level communications program, Image optical flow calculation matlab program.)

Bayesian mixture of Gaussians. This set of files contains functions for performing inference and learning on a Bayesian Gaussian mixture model. Learning is carried out via the variational expectation maximization algorithm.