GroupICATv3.0a

OFDM Moddel in matlab

基于模糊逻辑工具箱的高速公路匝道控制 匝道控制有关的许多概念都具有模糊性，如交通状况(畅通、饱和、拥挤、堵塞等)、匝道排队长度、流量大小、车流稳定性等。本文用MATLAB模糊逻辑工具箱设计高速公路入口匝道控制器，并进行了仿真研究。(Freeway Ramp Control Based on Fuzzy Logic Toolbox Many of the concepts related to ramp control are ambiguous, such as traffic conditions (traffic, saturation, congestion, congestion, etc.), ramp length, traffic size, traffic flow stability. In this paper, MATLAB fuzzy logic toolbox design of the highway ramp controller, and the simulation study.)

说明：  此程序是用于模式分类的在matlabhu环境下的原代码，AI该程序是在三层bp网络的基础上结合小波知识实现的(This procedure is used for pattern classification matlabhu environment in the original code, AI that the procedure was in bp in the three-tier network based on the combined knowledge of the realization of the wavelet)

dtw的matlab程序 刚接触的朋友可以来学习下(matlab dtw)

The objective is to illustrate the coordinated sampling of a geometrical shape such as an eclipse is used in this case. For illustrative purposes the gridded plot is sampled by detection of line beam intersections of the edge and in-bound regions of the eclipse. The coordinates are traced and pixelized into an image map.

Rayleigh 信道仿真模型 参考"Autoregressive modeling for fading channel simulation", IEEE Transaction on Wireless Communications, July 2005. (Rayleigh channel simulation model reference Autoregressive modeling for fading channel simulation , IEEE Transaction on Wireless Communications, July 2005.)

calculate the correlation and convolution

说明：  巴特沃斯滤波器，可以通过它对受噪声干扰的图像进行平滑处理(Butterworth filter, can be affected by its image noise smoothing)

有序样品的最优分割程序。本程序优点在于分类齐全，使用方便、直观。供大家学习参考。(ordered the optimal sample segmentation procedures. The classification process is complete advantages, easy to use, intuitive. We reference for the study.)

通过并行压缩进行二维信号压缩，提出了一种利用并行压缩传感技术对二维信号进行压缩的新方案。根据这个原理，译码器的重新构造可以并行进行。通过对二维信号进行某些排列，可以确保所有列具有大致相同的密度级别，并且可以使用相同的测量矩阵进行采样。这样可以避免二维信号的矢量化，从而大大减小测量矩阵的尺寸。我们证明，如果排列良好，重建均方误差的上限会更紧。为了说明这一方案，我们将其应用于视频压缩并使用不同帧的排列有两种：参考帧的基于Z字形扫描的排列和非参考帧的基于块测试的排列。仿真结果表明，在相同的压缩比下，峰值信噪比比比在无置换情况下可提高3-7db左右。(we propose a new scheme to compress 2D signals using parallel compressed sensing. According to this seheme, the reeonstruction at the decoder can be performed in parallel. By performing certain permutation on a 2D signal, all columns are insured to have approximately the same density level and can be sampled using the same measurement matrix. In this way, vectorization of a 2D signal can be avoided, and thus the size of the measurement matrix can be dramatically reduced. We prove that with a good permutation, we can have a tighter upper bound on reconstruction mean square error. To illustrate this scheme, we apply it to video compression and use two kinds of permutations for different frames: the zigzag-scanbased permutation for reference frames and the block-test-based permutation for non-reference frames. Simulation results show that under the same compression ratio, the peak signal-to-noise ratio can be improved by approximately 3-7 dB compared to the case without permutation.)