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lvboqishejicanshu
滤波器阶数固定时,代价函数和信噪比之间的关系 信噪比固定时,代价函数和滤波器长度之间的关系(order filter fixed, cost function and the relationship between the signal-to-noise ratio signal-to-noise ratio fixed, Filters cost function and the relationship between length)
- 2006-11-24 22:22:57下载
- 积分：1
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duandianjiance
自己编的，带有VAD语音检测的谱减法语音增强程序。(Own, and with VAD voice detection spectral subtraction speech enhancement procedures.)
- 2009-03-17 15:58:25下载
- 积分：1
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daopu
语音前期处理
对采集输入的语音信号进行倒谱分析(Pre-processing of the collected voice input voice signal cepstrum analysis)
- 2009-06-26 20:08:17下载
- 积分：1
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ID3.m
机器学习经典决策树算法的实现 输入训练标签输出预测结果(the classificial machine learning algorithm, input label and traning set and get predictions)
- 2013-10-03 03:29:05下载
- 积分：1
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channel
wlan信道仿真模型，考虑了各种不同场景下的信道变化(wlan channel simulation model, taking into account various channel change under different scenarios)
- 2014-11-05 15:47:05下载
- 积分：1
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sim_GaitModel_complete
生命迹象探测步进频仿真生命迹象微弱目标探测步进频仿真(Vital signs to detect faint signs of life stepping frequency simulation target detection step frequency simulation)
- 2013-04-18 16:07:55下载
- 积分：1
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遗传算法具有强大的全局优化能力
遗传算法具有强大的全局优化能力，并行计算的快速收敛性(Genetic algorithm has strong global optimization ability and fast convergence of parallel computing)
- 2020-06-23 00:20:02下载
- 积分：1
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ECG_fitter
说明： 人体心电信号的滤波，用一个Butterworth低通滤波器，滤除50Hz工频噪声，并采用不同阶数的Butterworth低通滤波器，比较效果(Human ECG signal filtering, using a Butterworth low-pass filter, filter the 50Hz frequency noise, and different orders of Butterworth low-pass filter, compare results)
- 2020-09-05 20:18:06下载
- 积分：1
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Butterworth_low_pass_and_high_pass_filters
对二维图像实现巴特沃斯低通和高通滤波，已经仿真，效果不错。(Pairs of two-dimensional image realization of Butterworth low-pass and high-pass filtering, has been simulation, good results.)
- 2009-11-18 20:40:17下载
- 积分：1
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b
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 " noise" 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.)
- 2010-12-06 16:38:45下载
- 积分：1
