Power

用matlab实现数据采集的方法 (Using matlab to achieve data acquisition methods)

说明：  matlab 仿真GSM的广播控制信道接收，包括匹配滤波，维特比解调，解卷积，解交织等(matlab simulation of GSM broadcast control channel reception, including the matched filter, Viterbi demodulation, deconvolution, and other deinterleave)

说明：  matlab手册，包括一些典型的算法，供大家参考(matlab manual for your reference)

Mpeg压缩的C++源代码，对于图像压缩，视频压缩，图像编码领域的朋友很有用(Mpeg compression of the C++ source code, for image compression, video compression, image coding friends useful)

PSO算法优化BP神经网络，数学建模模拟退火算法的改进(PSO algorithm to optimize the BP neural network, mathematical modeling simulated annealing algorithm improve)

This is the file for model reference adaptive system.

Basic kalman filter structure

用matlab程序编写的，用于计算机视觉或摄影测量中图片的特征点提取。(Using matlab programming, for computer vision or photogrammetry image feature extraction.)

CurveLab is a collection of Matlab and C++ programs for the Fast Discrete Curvelet Transform in two and three dimensions. For the 2d curvelet transform, the software package includes two distinct implementations: the wrapping-based transform and the transform using unequally-spaced fast Fourier trans- form (USFFT). Both variants are based on the Curvelet transform as described in ‘New Tight Frames of Curvelets and Optimal Representations of Objects with Piecewise C2Sin- gularities’, Comm. Pure Appl. Math. 57 (2004) 219-266. The implementation is also discussed in detail in ‘Fast Discrete Curvelet Transforms’, Multiscale Model. Simul. 5 (2006), no. 3, 861-899. We advise users to become familiar with these references. The two implementations diff er by the choice of spatial grid used to translate curvelets at each scale and angle.(CurveLab is a collection of Matlab and C++ programs for the Fast Discrete Curvelet Transform in two and three dimensions. For the 2d curvelet transform, the software package includes two distinct implementations: the wrapping-based transform and the transform using unequally-spaced fast Fourier trans- form (USFFT). Both variants are based on the Curvelet transform as described in ' New Tight Frames of Curvelets and Optimal Representations of Objects with Piecewise C2Sin-gularities' , Comm. Pure Appl. Math. 57 (2004) 219-266. The implementation is also discussed in detail in ' Fast Discrete Curvelet Transforms' , Multiscale Model. Simul. 5 (2006), no. 3, 861-899. We advise users to become familiar with these references. The two implementations differ by the choice of spatial grid used to translate curvelets at each scale and angle.)

matlab强跟踪滤波器STF源程序，附带论文说明(the matlab strong tracking filter STF source, with the paper demonstrates )