模拟调制与解调

中文教程。本教程提供了使用MATLAB的实践性指导，它基于MATLAB6.0版，内容由浅入深，特别是本书对每一条命令的使用格式都作了详细而又简单明了的说明，并配备了例题加以说明其用法，因此，对于初学者自学是很有帮助的；同时，又对数学中的一些深入问题如数值分析、稀疏矩阵、优化理论以及模糊数学等问题进行了较为详细的论述，因此，该书也可作为科技工作者的科学计算工具书。(Chinese tutorial. The Guide provides practical guidance to the use of MATLAB, which is based on MATLAB6.0 edition, the content of easy-to-digest, especially the book on the use of each command formats are explained in detail and simple description and sample questions to be equipped with its usage, therefore, self-study is very helpful for beginners At the same time, some of mathematics in depth issues such as numerical analysis, sparse matrix, optimization theory and fuzzy mathematics, etc. more detail, therefore, the book can also be used as science and technology workers in scientific computing tool.)

本程序为信源数目估计的malab源码，利用盖而圆半径法估计，对DOA学习很有帮助( )

matlab版最炫民族风，娱乐，可以参考下发生和节拍的编写(《Most shining national wind》on Matlab，for fun)

hide message inside image and retrive it from image using dct

AP聚类算法,里面包含实例，是AP聚类学习的好文件(Affinity Propagation)

一个导弹拦截simulink仿真程序，内含目标运动函数、导弹运动模型、导弹制导与控制算法(A Simlink Simulation Program for Missile Interception)

Upqc good ome for external use

单元平均恒虚警检测——CA-CFAR检测器：包括对于无目标、仅有噪声的信号进行CA-CFAR检测的仿真(Unit average constant false alarm detection - CA-CFAR detector: emulation of CA-CFAR detection for signals with no target and only noise)

已知一个序列x(n)=0.5cos(0.55*pi*n)+cos(0.45*pi*n),时域FFT分析其频谱。 （1）使用不同宽度的矩形窗截断该序列为M点，取M分别为：20，40，160,观察不同长度对频谱影响；（2）使用哈明窗和凯泽窗重做；（3）对三种窗的结果进行分析比较；（4）总结窗类型和长度对频谱分析的影响。 (Known a sequence x (n) = 0.5cos (0.55* pi* n)+ Cos (0.45* pi* n), time-domain FFT analysis of its spectrum. (1) use a different width of the rectangular window of the sequence for M cut-off point, take M are as follows: 20,40,160, observing the impact of different lengths of the spectrum (2) the use of Hamming window and the Kaiser window redo (3 ) on the three windows analyzed and compared the results (4) summarize the type and length of window for spectrum analysis.)

对分法求极小值，最优计算方法的matlab范例(Points system and the minimum, optimal calculation methods matlab example)