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2017Car_Synthetical_DemoV05.01

于 2018-04-02 发布 文件大小:14952KB
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  能自动循迹 图像识别 语音识别 避障 红外光感应 过ETC等功能(Can automatic speech recognition obstacle avoidance tracking infrared induction ETC function)

文件列表：

2017Car_Synthetical_DemoV05.01\.classpath, 475 , 2017-03-18
2017Car_Synthetical_DemoV05.01\.project, 866 , 2017-05-01
2017Car_Synthetical_DemoV05.01\.settings\org.eclipse.jdt.core.prefs, 177 , 2017-03-14
2017Car_Synthetical_DemoV05.01\AndroidManifest.xml, 1324 , 2017-04-18
2017Car_Synthetical_DemoV05.01\bin\2017Car_Synthetical_Demo.apk, 4239617 , 2017-04-06
2017Car_Synthetical_DemoV05.01\bin\2017Car_Synthetical_DemoV04.06.apk, 4240379 , 2017-05-01
2017Car_Synthetical_DemoV05.01\bin\2017Car_Synthetical_DemoV05.01.apk, 4263738 , 2017-05-03
2017Car_Synthetical_DemoV05.01\bin\AndroidManifest.xml, 1324 , 2017-05-01
2017Car_Synthetical_DemoV05.01\bin\classes\com\Camera_seriver\SearchService$1.class, 1639 , 2017-05-03
2017Car_Synthetical_DemoV05.01\bin\classes\com\Camera_seriver\SearchService$2.class, 1421 , 2017-05-03
2017Car_Synthetical_DemoV05.01\bin\classes\com\Camera_seriver\SearchService.class, 2063 , 2017-05-03
2017Car_Synthetical_DemoV05.01\bin\classes\com\car_socket_connect\socket_connect$1.class, 1511 , 2017-05-03
2017Car_Synthetical_DemoV05.01\bin\classes\com\car_socket_connect\socket_connect$2.class, 1359 , 2017-05-03
2017Car_Synthetical_DemoV05.01\bin\classes\com\car_socket_connect\socket_connect$3.class, 1209 , 2017-05-03
2017Car_Synthetical_DemoV05.01\bin\classes\com\car_socket_connect\socket_connect.class, 8488 , 2017-05-03
2017Car_Synthetical_DemoV05.01\bin\classes\com\car_synthetical_demo\BuildConfig.class, 357 , 2017-05-03
2017Car_Synthetical_DemoV05.01\bin\classes\com\car_synthetical_demo\InitActivity$1.class, 1144 , 2017-05-03
2017Car_Synthetical_DemoV05.01\bin\classes\com\car_synthetical_demo\InitActivity$2.class, 1623 , 2017-05-03
2017Car_Synthetical_DemoV05.01\bin\classes\com\car_synthetical_demo\InitActivity.class, 1803 , 2017-05-03
2017Car_Synthetical_DemoV05.01\bin\classes\com\car_synthetical_demo\MainActivity$1.class, 1112 , 2017-05-03
2017Car_Synthetical_DemoV05.01\bin\classes\com\car_synthetical_demo\MainActivity$10.class, 2669 , 2017-05-03
2017Car_Synthetical_DemoV05.01\bin\classes\com\car_synthetical_demo\MainActivity$11.class, 1207 , 2017-05-03
2017Car_Synthetical_DemoV05.01\bin\classes\com\car_synthetical_demo\MainActivity$12.class, 977 , 2017-05-03
2017Car_Synthetical_DemoV05.01\bin\classes\com\car_synthetical_demo\MainActivity$13.class, 1148 , 2017-05-03
2017Car_Synthetical_DemoV05.01\bin\classes\com\car_synthetical_demo\MainActivity$14.class, 1297 , 2017-05-03
2017Car_Synthetical_DemoV05.01\bin\classes\com\car_synthetical_demo\MainActivity$15.class, 1199 , 2017-05-03
2017Car_Synthetical_DemoV05.01\bin\classes\com\car_synthetical_demo\MainActivity$16.class, 1172 , 2017-05-03
2017Car_Synthetical_DemoV05.01\bin\classes\com\car_synthetical_demo\MainActivity$17.class, 1477 , 2017-05-03
2017Car_Synthetical_DemoV05.01\bin\classes\com\car_synthetical_demo\MainActivity$18.class, 1191 , 2017-05-03
2017Car_Synthetical_DemoV05.01\bin\classes\com\car_synthetical_demo\MainActivity$19.class, 1191 , 2017-05-03
2017Car_Synthetical_DemoV05.01\bin\classes\com\car_synthetical_demo\MainActivity$2.class, 1053 , 2017-05-03
2017Car_Synthetical_DemoV05.01\bin\classes\com\car_synthetical_demo\MainActivity$20.class, 1190 , 2017-05-03
2017Car_Synthetical_DemoV05.01\bin\classes\com\car_synthetical_demo\MainActivity$21.class, 1477 , 2017-05-03
2017Car_Synthetical_DemoV05.01\bin\classes\com\car_synthetical_demo\MainActivity$22.class, 1126 , 2017-05-03
2017Car_Synthetical_DemoV05.01\bin\classes\com\car_synthetical_demo\MainActivity$23.class, 1158 , 2017-05-03
2017Car_Synthetical_DemoV05.01\bin\classes\com\car_synthetical_demo\MainActivity$24.class, 1949 , 2017-05-03
2017Car_Synthetical_DemoV05.01\bin\classes\com\car_synthetical_demo\MainActivity$25.class, 1144 , 2017-05-03
2017Car_Synthetical_DemoV05.01\bin\classes\com\car_synthetical_demo\MainActivity$26.class, 1047 , 2017-05-03
2017Car_Synthetical_DemoV05.01\bin\classes\com\car_synthetical_demo\MainActivity$27.class, 1220 , 2017-05-03
2017Car_Synthetical_DemoV05.01\bin\classes\com\car_synthetical_demo\MainActivity$28.class, 1455 , 2017-05-03
2017Car_Synthetical_DemoV05.01\bin\classes\com\car_synthetical_demo\MainActivity$29.class, 1401 , 2017-05-03
2017Car_Synthetical_DemoV05.01\bin\classes\com\car_synthetical_demo\MainActivity$3.class, 1534 , 2017-05-03
2017Car_Synthetical_DemoV05.01\bin\classes\com\car_synthetical_demo\MainActivity$30.class, 2033 , 2017-05-03
2017Car_Synthetical_DemoV05.01\bin\classes\com\car_synthetical_demo\MainActivity$31.class, 898 , 2017-05-03
2017Car_Synthetical_DemoV05.01\bin\classes\com\car_synthetical_demo\MainActivity$32.class, 1151 , 2017-05-03
2017Car_Synthetical_DemoV05.01\bin\classes\com\car_synthetical_demo\MainActivity$33.class, 1152 , 2017-05-03
2017Car_Synthetical_DemoV05.01\bin\classes\com\car_synthetical_demo\MainActivity$34.class, 1244 , 2017-05-03
2017Car_Synthetical_DemoV05.01\bin\classes\com\car_synthetical_demo\MainActivity$35.class, 1263 , 2017-05-03
2017Car_Synthetical_DemoV05.01\bin\classes\com\car_synthetical_demo\MainActivity$36.class, 1358 , 2017-05-03
2017Car_Synthetical_DemoV05.01\bin\classes\com\car_synthetical_demo\MainActivity$37.class, 1199 , 2017-05-03
2017Car_Synthetical_DemoV05.01\bin\classes\com\car_synthetical_demo\MainActivity$38.class, 1177 , 2017-05-03
2017Car_Synthetical_DemoV05.01\bin\classes\com\car_synthetical_demo\MainActivity$39.class, 1186 , 2017-05-03
2017Car_Synthetical_DemoV05.01\bin\classes\com\car_synthetical_demo\MainActivity$4.class, 2624 , 2017-05-03
2017Car_Synthetical_DemoV05.01\bin\classes\com\car_synthetical_demo\MainActivity$5$1.class, 3092 , 2017-05-03
2017Car_Synthetical_DemoV05.01\bin\classes\com\car_synthetical_demo\MainActivity$5.class, 1612 , 2017-05-03
2017Car_Synthetical_DemoV05.01\bin\classes\com\car_synthetical_demo\MainActivity$6.class, 1394 , 2017-05-03
2017Car_Synthetical_DemoV05.01\bin\classes\com\car_synthetical_demo\MainActivity$7.class, 1061 , 2017-05-03
2017Car_Synthetical_DemoV05.01\bin\classes\com\car_synthetical_demo\MainActivity$8.class, 1198 , 2017-05-03
2017Car_Synthetical_DemoV05.01\bin\classes\com\car_synthetical_demo\MainActivity$9.class, 2273 , 2017-05-03
2017Car_Synthetical_DemoV05.01\bin\classes\com\car_synthetical_demo\MainActivity$ontouchlistener1.class, 1983 , 2017-05-03
2017Car_Synthetical_DemoV05.01\bin\classes\com\car_synthetical_demo\MainActivity$ontouchlistener2.class, 2870 , 2017-05-03
2017Car_Synthetical_DemoV05.01\bin\classes\com\car_synthetical_demo\MainActivity.class, 27861 , 2017-05-03
2017Car_Synthetical_DemoV05.01\bin\classes\com\car_synthetical_demo\R$attr.class, 358 , 2017-05-03
2017Car_Synthetical_DemoV05.01\bin\classes\com\car_synthetical_demo\R$drawable.class, 1007 , 2017-05-03
2017Car_Synthetical_DemoV05.01\bin\classes\com\car_synthetical_demo\R$id.class, 1732 , 2017-05-03
2017Car_Synthetical_DemoV05.01\bin\classes\com\car_synthetical_demo\R$layout.class, 606 , 2017-05-03
2017Car_Synthetical_DemoV05.01\bin\classes\com\car_synthetical_demo\R$string.class, 801 , 2017-05-03
2017Car_Synthetical_DemoV05.01\bin\classes\com\car_synthetical_demo\R$style.class, 449 , 2017-05-03
2017Car_Synthetical_DemoV05.01\bin\classes\com\car_synthetical_demo\R.class, 627 , 2017-05-03
2017Car_Synthetical_DemoV05.01\bin\classes\com\mydialog\set_rate_of_word_Dialog$LeaveMyDialogListener.class, 302 , 2017-05-03
2017Car_Synthetical_DemoV05.01\bin\classes\com\mydialog\set_rate_of_word_Dialog.class, 1862 , 2017-05-03
2017Car_Synthetical_DemoV05.01\bin\classes\com\mydialog\set_threshold_Dialog$LeaveMyDialogListener.class, 293 , 2017-05-03
2017Car_Synthetical_DemoV05.01\bin\classes\com\mydialog\set_threshold_Dialog.class, 1843 , 2017-05-03
2017Car_Synthetical_DemoV05.01\bin\classes\readme, 1249 , 2017-05-03
2017Car_Synthetical_DemoV05.01\bin\classes\RGB_Graying\RGBLuminanceSource.class, 2258 , 2017-05-03
2017Car_Synthetical_DemoV05.01\bin\classes.dex, 1277752 , 2017-05-03
2017Car_Synthetical_DemoV05.01\bin\dexedLibs\android-support-v4-162bdb60393d7641f87c76a7a6090f63.jar, 342975 , 2017-03-24
2017Car_Synthetical_DemoV05.01\bin\dexedLibs\android-support-v4-37b4a57b224a3bd0aaf3571f3b2970c1.jar, 342975 , 2017-04-26
2017Car_Synthetical_DemoV05.01\bin\dexedLibs\android-support-v4-5f81b76b5071621c59aa6b4155da87df.jar, 347548 , 2017-05-01
2017Car_Synthetical_DemoV05.01\bin\dexedLibs\android-support-v4-adf91b1f39522c730411e0aa69f29b2a.jar, 342975 , 2017-04-06
2017Car_Synthetical_DemoV05.01\bin\dexedLibs\android-support-v4-b9c0513ea662cd4ac5535c0bf3b396a3.jar, 342975 , 2017-04-18
2017Car_Synthetical_DemoV05.01\bin\dexedLibs\annotations-a4e82f0af5bc34208072482ae1a8d410.jar, 910 , 2017-03-24
2017Car_Synthetical_DemoV05.01\bin\dexedLibs\camerautil-2041781e6948bd941cb26750e7fbf68d.jar, 2786 , 2017-05-01
2017Car_Synthetical_DemoV05.01\bin\dexedLibs\camerautil-4c52c1dcb08af100a736d33e16006d36.jar, 2786 , 2017-04-18
2017Car_Synthetical_DemoV05.01\bin\dexedLibs\camerautil-6b567fe55a57aa40975ed975d4009731.jar, 2786 , 2017-04-26
2017Car_Synthetical_DemoV05.01\bin\dexedLibs\camerautil-79a277faa1f3c47dcd89e432eb54f093.jar, 2786 , 2017-04-06
2017Car_Synthetical_DemoV05.01\bin\dexedLibs\camerautil-9c1efe20da9112c7f34fecf3ba0357f4.jar, 2786 , 2017-03-24
2017Car_Synthetical_DemoV05.01\bin\dexedLibs\core-3ad9e26b2e4fc3dbb5d5e06060dd7049.jar, 183671 , 2017-04-18
2017Car_Synthetical_DemoV05.01\bin\dexedLibs\core-5d916fa4c0606c9e29f5551fd1d1235f.jar, 183671 , 2017-03-24
2017Car_Synthetical_DemoV05.01\bin\dexedLibs\core-6ce82c6a0ce6f4f4a0f302d881b1de6f.jar, 183671 , 2017-04-26
2017Car_Synthetical_DemoV05.01\bin\dexedLibs\core-b8496308fa2c292e6e7da788a7dbb8f5.jar, 183671 , 2017-04-06
2017Car_Synthetical_DemoV05.01\bin\dexedLibs\core-b867d71d3a9e69aabc3652d4f3735a08.jar, 188472 , 2017-05-01
2017Car_Synthetical_DemoV05.01\bin\jarlist.cache, 120 , 2017-05-03
2017Car_Synthetical_DemoV05.01\bin\res\crunch\drawable-hdpi\below_button.png, 3419 , 2017-03-24
2017Car_Synthetical_DemoV05.01\bin\res\crunch\drawable-hdpi\below_button_g.png, 5833 , 2017-03-24
2017Car_Synthetical_DemoV05.01\bin\res\crunch\drawable-hdpi\ic_launcher.png, 1513 , 2017-03-24
2017Car_Synthetical_DemoV05.01\bin\res\crunch\drawable-hdpi\left_button.png, 2180 , 2017-03-24
2017Car_Synthetical_DemoV05.01\bin\res\crunch\drawable-hdpi\left_button_g.png, 3527 , 2017-03-24
2017Car_Synthetical_DemoV05.01\bin\res\crunch\drawable-hdpi\rcv.png, 168489 , 2017-03-24
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  • 用Matlab实现DTW孤立词识别
    做语音识别时用到DTW 算法。便于初学者的学习。(DTW algorithm is used for speech recognition. Easy for beginners to learn.)
    2020-12-07 12:39:22下载
    积分：1
  • PAST_disp_signal
    基于非线性主分量分析(PAST)的 自适应盲信号分离 (Based on nonlinear principal component analysis (PAST) Adaptive Blind Signal Separation)
    2009-01-03 19:46:58下载
    积分：1
  • 各种语音识别算法的MATLAB代码
    基于HMM的语音识别算法和毕设例程，包括数据。(HMM-based speech recognition algorithm and complete routine, including data.)
    2021-04-14 20:08:54下载
    积分：1
  • NMR-data-processing-water-detector
    核磁共振（NMR）技术探测地下水是目前唯一的直接找水的地球物理方法。与传统的地球物理方法相比具有高分辨力，高效率，信息量丰富和解唯一性等优点。利用核磁共振地下水探测系统可以高效率地进行区域水文地质调查，确定找水远景区，圈定地下水在三维空间内的分布，进而可靠地选定水井位置等。但是由于水中氢核产生的核磁共振信号的幅度小（纳伏级），要求探测系统的灵敏度高，将引入大量的自然和人为噪声，导致采集信号的信噪比低，解释结果不清楚。 本文用LMS自适应算法提高MRS信号的信噪比，用Hilbert变换提取MRS信号的包络信号，用线性拟合提取水文地质参数并通过仿真实验结果，验证了本文提出的数据处理方法的有效性和准确性。 (Nuclear magnetic resonance (NMR) technique to the detection of direct water division is the only geophysical method to find water. Compared with conventional high-resolution geophysical methods, efficient, informative unique advantages of reconciliation. Groundwater exploration using nuclear magnetic resonance system can efficiently carry out the regional hydrogeological investigation to determine the prospective areas to find water, delineation of ground water distribution in three-dimensional space, and then reliably the location of the selected wells. However, because the water proton NMR signal amplitude generated by small (Na V level), requiring high sensitivity detection systems, will introduce a large number of natural and man-made noise, resulting in low signal to noise ratio acquisition, interpretation of results is not clear. In this paper, LMS adaptive algorithm improves the MRS signal to noise ratio, with the Hilbert transform to extract the signal envelope MRS signal ext)
    2013-05-15 20:23:30下载
    积分：1
  • test-one
    语音识别，有详细的程序注释，正确率达到95 (Speech recognition, detailed program notes, the correct rate of 95 )
    2013-02-26 14:47:28下载
    积分：1
  • TPCALDAAh
    这是自己毕业设计做的PCA和LDA的结合，训练和识别别过程都有，用的是ORL库里的图像，具有较高的识别率！ (This is a combination of PCA and LDA graduation design, training and do the process of the identification with ORL library of images, has a high recognition rate!)
    2012-07-19 11:21:01下载
    积分：1
  • ICA
    本程序音频共有四个，借助鸡尾酒会问题思想，用ica算法实现四个音频的分离(The audio program for a total of four, with the help of the cocktail party problem, realizing the separation of four audio using ICA algorithm)
    2017-08-26 18:53:07下载
    积分：1
  • yuyinxinhaolianghua
    采用矢量量化对语音信号量化，并与标量量化对比分析，绘制了语音信号的概率密度曲线(The use of vector quantization for speech signal quantization and scalar quantization and comparative analysis, rendering the speech signal probability density curve)
    2009-07-01 16:32:02下载
    积分：1
  • speaker_recognition
    说话人识别系统,界面友好，可以对实时录音的说话人进行识别(Speaker recognition system, user-friendly, real-time recording can be carried out to identify the speaker)
    2021-04-20 14:38:50下载
    积分：1
  • HMMforspeechrecogntion
    一个可执行的HMM语音识别程序例程，实现了对10个数字音的识别程序，包含了HMM语音识别中的分段，MFCC特征提取，Baum-Welch训练，及Viterbi等算法，通过此例程可以很好的理解HMM的算法原理(An executable HMM-based 10 digits speech recogntion program example. this code zip file includes segmentation, MFCC feature extraction, Baum-Welch based re-estimation and Viterbi algorithm involved in HMM. it helps much better understand the HMM algorithm and its application for speech recogntion. )
    2010-01-05 15:16:00下载
    积分：1
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