MATLAB

该模型实现了一个通用的OFDM TX和RX，这是不依赖于任何特定的行业标准。该模型的目标是开发和研究不断（不是“突发”）载波同步和定时跟踪方案。该技术纳入然后可以扩展和修改，以标准的具体通讯套件。该模型采用了“收购”技术，它利用了循环前缀相关属性，以赶在试图完成罚款跟踪算法一帧的边界粗略的估计。该模型实现了一个16点64循环前缀的OFDM载波波形。在OFDM符号有16个飞行员，3后卫音（0，带边幅），并使用45 QAM的剩余数据流4。 这包括最新型的衰落信道，误码率计算，并改善控制回路动态。(This model implements a generic OFDM TX and RX, which is not tied to any particular industry standard. The objective of this model is to develop and explore a continuous (not “bursty”) carrier and timing tracking synchronization scheme. The techniques incorporated can then be extended and modified to suite specific communications standards. The model uses an “acquisition” technique that exploits the correlation properties of the cyclic prefix to get a rough estimate of the frame boundary before attempting to accomplish the fine tracking algorithms. The model implements a 64 carrier OFDM waveform with a 16 point cyclic prefix. The OFDM symbol has 16 pilots, 3 guard tones (0 amplitude at band edge) and uses 4 QAM for the 45 remaining data streams. This latest model includes a fading channel, BER computation, and improved control loop dynamics. )

RSSI是无线传感器网络中一种基于测距的定位方法，本程序中使用对数常态模型来测距离。(RSSI is a wireless sensor network positioning method based on distance, this program is measured with a lognormal model for the distance.)

space vector pwm inverter implementation using matlab simulation

function [A,w,type,tao]=amplres(h) 《数字信号处理教程——MATLAB释义与实现》子程序 给定FIR滤波器系数求滤波器符幅特性(function [A, w, type, tao] = amplres (h) " digital signal processing tutorial- MATLAB Interpretation and Implementation" procedure FIR filter coefficients of a given symbol rate filter characteristics of demand)

Code for Power-Law Transform Algorithm, in Chapter two of image processing book(Gonzalez).

利用fisher线性判别分析方法的matlab代码(Use of fisher linear discriminant analysis method matlab code)

VRPTW,c++实现VRPTW规划，拿走可用。具体可以百度进行对比，找出原理，在进行编写。(VRPTW,c++ implementation of VRPTW planning, take away available.Specific baidu can be compared, find out the principle, in the preparation.)

matlab的电子教程，帮助大家学习matlab(matlab electronic tutorials to help everyone learn matlab)

针对基于小波变换的红外图像增强方法视觉效果不够理想的缺点, 提出了一种基于平稳小波变换和Retinex 的红外图像增强方法, 利用Retinex 增强算法增强图像的视觉效果, 并改善其亮度均匀性。首先, 对红外图像经平稳小波变换后的最大尺度低频子带图像进行多尺度Retine x 增强 然后, 利用贝叶斯萎缩阈值法对高频子带图像进行阈值去噪, 并根据低频子带图像的局部对比度和模糊规则计算高频子带的增益系数, 从而得到增强后的高频子带图像 最后, 由低频子带图像和高频子带图像重构得到增强后的图像。针对大量图像进行了实验和增强效果的定性与定量评价, 并与双向直方图均衡法、二代小波变换法、Curvelet 变换法和多尺度Retinex法作了比较。结果表明, 所提出的方法增强了图像细节, 抑制了噪声, 并明显改善了图像的整体视觉效果。(As infrared image enhancement method based on wavelet transformation has the problem of unperfect visual effect , and Retinex enhancement algorithm can enhance visual effect of the image by improving brightness uniformity , amethod based on stationary wavelet transformation and Retinexis proposed.Firstly , the infrared image is decomposed into high-frequency detail and low-frequency approximation components at various resolutions, and the low frequency subband image of the largest scale is enhanced by multiscale Retinex algorithm.Then, the highfrequency subband images are denoised by Bayesian shrinkage method, and the gain coefficients of high-frequency subbands are available by calculating the local contrast of the enhanced low-frequency subband based on fuzzy rules to get the enhanced high-frequency subband images .Finally, the enhanced image is reconstructed by the low-frequency subband and high-frequency subbands .Experiments with qualitative and quantitative uation are carried ou)

对文本文件进行huffman编码，并显示huffman树(to the text document for Huffman coding, and that Huffman tree)