The-Two-Ring-MIMO-Channel-Model

CDMA通过gold7和gold31来进行编码。并比较不同编码下的CDMA的性能(cdma performance via different length of gold encode )

MATLAB® is a high-level technical computing language and interactive environment for algorithm development, data visualization, data analysis, and numeric computation. Using the MATLAB product, you can solve technical computing problems faster than with traditional programming languages, such as C, C++, and Fortran. You can use MATLAB in a wide range of applications, including signal and image processing, communications, control design, test and measurement, financial modeling and analysis, and computational biology. Add-on toolboxes (collections of special-purpose MATLAB functions, available separately) extend the MATLAB environment to solve particular classes of problems in these application areas. MATLAB provides a number of features for documenting and sharing your work. You can integrate your MATLAB code with other languages and applications, and distribute your MATLAB algorithms and applications.

均匀圆阵模式空间下用music法和平滑的music估计DOA(Under the Uniform Circular Array with music pattern space law and the smooth music DOA estimation)

简述了雷达微波目标模拟器的组成、工作原理以及用途。该目标模拟器已成功地用于跟踪雷达,达到了预期的性能。 (Briefly the composition of works and use of the microwave radar target simulator. The target simulator has been used successfully tracking radar, to achieve the desired performance.)

介绍了随机信号处理，并重点阐述了卡尔曼滤波在随机信号处理中的应用，并有matlab仿真的实例。(Introduction to Random Signals and Applied Kalman Filtering with Matlab Exercise)

说明：  自抗扰算法仿真程序，算法学习使用，适合理论分析(Auto disturbance rejection algorithm simulation program, algorithm learning and use, suitable for theoretical analysis)

《Matlab工具箱应用》 张金明等编，原书扫描件(Applications, edited by Zhang Jinming Matlab toolbox, the original book scan)

说明：  AR过程的线性建模与功率谱估计 带说明，可自学(AR process modeling and power of linear spectral estimation )

ebook Remote Sensing Digital Image Analysis An Introduction John A. Richards · Xiuping Jia

冈萨雷斯数字图像处理配套matlab例程，第三章。代码里面有详细解释，适合初学者同步学习。(Gonzalez digital image processing supporting Matlab routines, chap. There is a detailed explanation of the code, suitable for beginners synchronous learning.)