资源列表
[matlab例程] fupinquxian
说明:本程序主要是为了方便求在没有解析解的的振动方程的幅频曲线。-This procedure is mainly in order to facilitate the solution of the vibration equation without the amplitude frequency curve.<徐志彬> 在 2025-11-22 上传 | 大小:1kb | 下载:0
[matlab例程] lda-0.2-matlab.tar
说明:在matlab下,用编写的LDA代码,实现文本建模-In matlab, prepared by LDA code to achieve a text model<foolboy> 在 2025-11-22 上传 | 大小:24kb | 下载:0
[matlab例程] LDAshuxuebaguai
说明:关于LDA的经典入门书籍,帮助你较好的了解LDA-About LDA classic introductory book to help you better understand LDA<foolboy> 在 2025-11-22 上传 | 大小:1.83mb | 下载:0
[matlab例程] Time_unwrap
说明:his function corrects the effect of time modulo or return to zero by adding the appropriate offsets, calculated by extrapolation the previous continuous segments. Time discontinuities are detected through the sign of time gradient.-his function corre<tariq> 在 2025-11-22 上传 | 大小:2kb | 下载:0
[matlab例程] dianqifangzhen
说明:应用matlab simulink进行的电气发电机系统仿真-Electric generator system simulation using matlab simulink<maxin> 在 2025-11-22 上传 | 大小:2.38mb | 下载:0
[matlab例程] LoadDicomSeries
说明:Loads Siemens Time Series or single image stack (not only Siemens) automatically into 4D matrix. Old version LoadDicomSeries.m : Loads DICOM time series or single stacks single *.dcm files with directory dialog, progressbar etc... into global 4<tariq> 在 2025-11-22 上传 | 大小:3kb | 下载:0
[matlab例程] json_encode_decode
说明:json_decode parses a JSON string and returns a MATLAB object. JSON objects are converted to structures and JSON arrays are converted to cell arrays. NULL values are converted to empty logical. json_encode encodes a MATLAB object into a JSON string<tariq> 在 2025-11-22 上传 | 大小:9kb | 下载:0
[matlab例程] VideoRecorder
说明:ideo Recorder is an object dedicated to the recording of dynamic MATLAB figures in video files (formats: AVI, JPEG 2000 and MPEG-4). The object results the combination of timer and VideoWriter MATLAB objects and allows two recording modes: -ideo R<tariq> 在 2025-11-22 上传 | 大小:5kb | 下载:0
[matlab例程] huduyuceMATLAB
说明:灰色预测通过鉴别系统因素之间发展趋势的相异程度,即进行关联分析,并对原始数据进行生成处理来寻找系统变动的规律,生成有较强规律性的数据序列,然后建立相应的微分方程模型,从而预测事物未来发展趋势的状况。其用等时距观测到的反应预测对象特征的一系列数量值构造灰色预测模型,预测未来某一时刻的特征量,或达到某一特征量的时间。-Gray predicted by the degree of dissimilarity between the trends identification system facto<吴晓全> 在 2025-11-22 上传 | 大小:2kb | 下载:0