OFDM_SIM

enjoy with this script of Ovsf in Matlab

采用三阶或四阶中心B样条绘出B样条的图像，与任意信号卷积求逆将信号复原(Through the realization of third order or fourth order center B spline B spline drawn images, and any signal convolution inverse recovery signals)

matlab常用函数参考包含了matlab中常用的函数集合，对于学习matlab有很好的帮助(used matlab matlab function reference contains a collection of commonly used functions, good for learning matlab help)

matlab超分辨率重建,对比相应的论文看，很好理解，可以对图像进行分层，并重建(Matlab super-resolution reconstruction, compared with the corresponding paper, is easy to understand, the image can be layered, and reconstruction)

1.本书包含的实例所使用的源程序清单，文件夹第3章～第7章分别包括各章节内的实例源程序。 2.源程序文件名与所在章节和实例序号对应，如：3_1.m为第三章实例一【例3_1】的源程序。 3.文件夹tftoolbox为2002版的时频工具箱，第六章“非平稳信号分析与处理”需要用到该工 具箱的部分函数。请将其拷贝到用户的MATLAB工作路径（如D:R2006awork） 4.各章节的M文件已在MATLAB R2006a环境下调试通过，拷贝到用户的MATLAB工作路径（如 D:R2006awork）下即可运行。(1. This book contains examples of source code used in the list of folders in Chapter 3 ~ Chapter 7, respectively, including the section within the source code examples. 2. Source file name and serial number where the corresponding chapters and examples, such as: 3_1.m for example Chapter 1 3_1】 【Example of the source. 3. Tftoolbox folder for the 2002 version of the Time-Frequency Toolbox, Chapter VI, " Non-stationary signal analysis and processing" required to use part of the toolbox functions. I would be grateful if a copy job to the user' s MATLAB path [such as D: R2006a work] 4. Of all sections of M are available at MATLAB R2006a debugging environment through, copy to the user' s job MATLAB path [such as D: R2006a work ] to run under.)

介绍了一种基于 MA T L A B的多个特定人连接词语音识别的方法，并提出了在进行端点检测时，引入平均的概念能进一 步提高识别率。 此设计是以 L P C C系数、 D T W 算法为核心的基于图形界面的设计。 通过大量的实验测试 ，表明该方法基本达 到屏蔽外界环境的影响 ， 具有非常高的精度识别(: In this paper based on a number of specific persons MA TLAB conjunctions speech recognition method, and presented during endpoint detection, the introduction of the concept of the average recognition rate can be further improved. This design is LPCC coefficients, DTW algorithm as the core design based on graphical interface. Through a large number of experimental tests show that the method is basically to shield the external environment, with very high accuracy recognition)

这是对于RS和BCH进行译码的matlab实现(This is for the RS and BCH decoding for the Implementation of Matlab)

DV-Hop与循环三边定位算法相结合，效果比原始算法好。(DV- Hop combined with loop trilateral localization algorithm, the effect is better than the original algorithm. )

《MATLAB神经网络30个案例分析》中的第22个例子，案例22 LVQ神经网络的预测——人脸朝向识别。希望对大家有一定的帮助！ (The MATLAB neural network analysis of 30 cases of 22 example, 22 cases of LVQ neural network prediction, face toward the identification. Hope to have certain help to everybody!)

This is about Digital signal processing.