wideband-digital-receiver

说明：  ：DBSCAN是一个基于密度的聚类算法。该算法将具有足够高密度的区域划分为簇，并可以在带有“噪声”的空间数 据库中发现任意形状的聚类。但DtLqCAN算法没有考虑非空间属性，且DBSCAN算法需扫描空间数据库中每个点的e一 邻域来寻找聚类，这使得DBSCAN算法的应用受到了一定的局限。文中提出了一种基于DBSCAN的算法，可以处理非空 间属性，同时又可以加快聚类的速度。(: DBSCAN is a density-based clustering algorithm. The algorithm has a sufficiently high density area is divided into clusters, and to be with the &quot noise&quot found in the spatial database clusters of arbitrary shape. But DtLqCAN algorithm did not consider non-spatial attributes, and spatial database DBSCAN algorithm to be scanned for each point e in the neighborhood to find a cluster, DBSCAN algorithm which makes the application subject to certain limitations. In this paper, an algorithm based on DBSCAN can handle the non-spatial attributes, can also speed up the clustering speed.)

粒子群算法matlab代码 (PSO matlab code )

It shows the results for PD vs. SNR for energy detector based on different sample numbers.

一种很好用的自适应遗传算法程序有需要或者有意见的请跟我联系谢谢(Adapga method )

This program is a new way to estimate the coherence function. It s based on the MVDR and is much more reliable than the classical Welch s method implemented in MATLAB. There are 2 programs: the main program called coherence_MVDR.m and and an example, called illustrate.m, that calls the main function to show how it works. There also included 2 papers that we published on this algorithm. (This program is a new way to estimate the coherence function. It s based on the MVDR and is much more reliable than the classical Welch s method implemented in MATLAB.There are 2 programs: the main program called coherence_MVDR.m and and an example, called illustrate.m, that calls the main function to show how it works. There also included 2 papers that we published on this algorithm.)

matlab机器人障碍物静态状态下的避障的仿真(Robot obstacle avoidance of static state)

OFDM的BPSK调制与解调,有说明，有需要的朋友可以看看(OFDM BPSK modulation and demodulation, a note, a friend in need can look)

说明：  AM、FM调制解调的MATLAB源代码，能够正常运行，性能不错。(AM, FM modulation and demodulation of the MATLAB source code, to the normal operation, good performance.)

说明：  对采集到的数据进行分析，并有相对的频谱转换，观察频域的信号(On analysis of data collected, and the relative frequency conversion, frequency domain signal observed)

主分量分析是一种基本的多维数据描述方法，是一种能使多维数据按照实际研究的需要更好地描述出来的变换方法。(Principal component analysis is a basic description of the method of multidimensional data is a multidimensional data in accordance with the needs of the actual research to better describe the transformation method can make.)