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Endpointdetectionbandvariance
频带方差端点检测的matlab源程序，可以看看，觉得还可以。(Band variance of endpoint detection matlab source code, you can see that also.)
- 2009-04-23 21:32:15下载
- 积分：1
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Neural-network
Very good paper on Neural network algorithm
- 2011-09-22 09:37:28下载
- 积分：1
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tftb
时频分析类程序，非平稳信号分析之时频分析工具箱(Time-frequency analysis class program, non-stationary signal analysis of time-frequency analysis toolbox)
- 2013-03-04 11:24:53下载
- 积分：1
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UAV
一些MATLAB中的小型无人机传感器，自动驾驶和卡尔曼滤波的simulink仿真模型(Some Simulink simulation models for small UAV sensors, autopilot and Calman filtering are presented in MATLAB)
- 2017-08-29 10:14:48下载
- 积分：1
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ant_tsp
用蚁群算法解决旅行商问题，有详细的注释，写成了函数，可修改部分参数后使用(Ant colony algorithm to solve traveling salesman problem, detailed notes, written in a function, some parameters can be modified to use)
- 2010-09-02 21:11:07下载
- 积分：1
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MTI_MTD_CFAR
仿真了雷达系统中信号产生、回波信号、脉冲压缩、MTI、MTD与恒虚警检测的过程。(Simulated radar signal generation system, the echo signal, pulse compression, the process of MTI, MTD and CFAR detection.)
- 2015-02-06 16:06:19下载
- 积分：1
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GA
说明： genetic algorithm with matlab
- 2011-08-29 19:08:47下载
- 积分：1
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4
说明： SSB调制。根据产生的余弦信号，画出相应频率载波下的调制后图形。(SSB modulation. According to the cosine signal generated graphics draw the corresponding frequency carrier modulated under.)
- 2014-12-17 17:11:16下载
- 积分：1
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Tranmissionofvariousaveneff
模拟在住不同条件下长周期光纤光栅的传输谱，给出了各个不同条件下传输谱的变化(Simulation under different conditions in living long period fiber grating transmission spectrum, gives the transmission spectrum under different conditions, changes in)
- 2011-11-01 17:42:50下载
- 积分：1
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SPMForSensorDataAnalytic
These files contain all the code necessary to run the example in the Webinar "Signal Processing for Machine Learning in MATLAB". They also include code to automate the download and preparation of the dataset used.
In that webinar we presented an example of a classification system able to identify the physical activity that a human subject is engaged in, solely based on the accelerometer signals generated by his or her smartphone.
We used consolidated signal processing methods to extract a fairly small number of highly-descriptive features, and finally trained a small Neural Network to map the feature vectors into the 6 different activity classes of a pre-recorded dataset.
The topics discussed include:
* Signal manipulation and visualisation
* Design and application of digital filters
* Frequency-domain analysis
* Automatic peak detection
* Feature extraction from signals
* Train and test of simple Neural Networks
- 2018-05-15 11:54:21下载
- 积分：1
