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Kalman_Filter2
用kalman滤波算法仿真实现2自由度机器人对目标的跟踪（demo2忽略了Jt，demo3包含可Jsita和Jt，估计总雅可比矩阵J的kalman滤波）---机器人视觉伺服(Simulation kalman filter algorithm with 2 degrees of freedom robot target tracking (demo2 ignored Jt, demo3 contains Jsita and Jt, the total estimated Jacobian matrix J of the kalman filter)--- robot visual servo)
- 2011-05-17 10:10:36下载
- 积分：1
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gravity-invertion
实现重力反演，提供实例，建立模型正演，然后进行反演(Realize the gravity inversion, provide examples, modeling forward and inversion)
- 2021-04-08 15:59:00下载
- 积分：1
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music2
模拟2个独立窄带信号分别以20°，60°的方向入射到均匀线阵上，信号间互不相关，与噪声相互独立，噪声为理想高斯白噪声，阵元间距为入射信号波长的1／2，快拍数为200，信噪比为20dB，阵元数分别为10，50，100。
(Simulate two independent narrowband signals in the direction of 20 °, 60 ° of the incident on the ULA, among signal unrelated, independent noise, the noise is ideal Gaussian white noise, the array element spacing of the incident signal wavelength of 1/2, the number of snapshots 200, SNR is 20dB, the array element number 50, 100, respectively.)
- 2014-12-02 10:54:32下载
- 积分：1
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pm_haar_inv
MATLAB函数为pm Haar 1-D IDWT算法
离散Haar小波逆变换的基本原理(MATLAB function for pm Haar 1-D IDWT algorithm,
Fundamentals of the discrete Haar wavelet transform)
- 2013-11-23 22:59:36下载
- 积分：1
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ruilishuailuoQPSK
QPSK信号通过瑞利衰落信道后的误比特率和误符号率，并与AWGN信道下的误比特率和误符号率进行对比。其中，多普勒频移为
100Hz，经过矩形脉冲成形后的抽样时间间隔为1/800000s。(The QPSK signal harms the bit rate after the Rayleigh fading channel and harms the mark rate, and harms the bit rate with the AWGN channel under and harms the mark rate to carry on the contrast. And, the Doppler shift is 100Hz, after undergoing the square pulse forming the sampling time gap is 1/800000s.
)
- 2012-04-18 15:41:19下载
- 积分：1
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demo7tonality
It is code for tonality feature extraction
- 2015-01-12 15:49:23下载
- 积分：1
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AdaptiveEqualizationLMS_ENEE634
this file explain how to implement LMS EQUALIZER in matlab with different noisy channel environment.
- 2015-02-07 02:00:11下载
- 积分：1
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TDOA
读取信号，信号滤波，信号降噪，信号分帧，信号求时间差。(Read signal, signal filtering, signal noise, signal framing, find the time difference signal.)
- 2011-05-10 14:54:20下载
- 积分：1
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OFDM
首先根据短训练字的特性进行相关运算，进行信号到达检测，当检测到相关值大于门限一定次数后，认为有信号到达。然后根据长训练字的特性，进行相关运算，进行OFDM符号FFT窗口起始位置的估计。估计出FFT窗口的位置后，先在时域进行小频偏的估计，将两个长训练字进行小频偏补偿后，进行FFT运算，根据FFT运算的结果进行整数倍频偏的估计。这些参数估计完成后，就可以进行数据解调了。先对数据部分进行完整的频偏补偿，然后根据估计的FFT窗口位置进行FFT运算得到频域的数据，进行解调。然后在对应于导频的子载波位置上提取出导频信息，根据导频信息估计出剩余定时误差以及剩余的信道响应误差，将误差量送入环路进行跟踪。当收到所有数据后，重新回到信号到达检测状态，进行下一次信号到达的检测和信号接收。(First, according to the characteristics of the short training word correlation operation, the signal reaching the detector, when the detected correlation value is greater than the threshold after a certain number of times that a signal arrives. And then the characteristics of long training word, the correlation operation for the FFT window starting position of an OFDM symbol estimate. The estimated position of the FFT window, the first small frequency offset in the time domain estimation, the two long training word small frequency offset compensation, the FFT operation, the FFT result of the operation for integer frequency offset estimate. These parameter estimation is completed, the data can be demodulated on. The first portion of the data for a complete frequency offset compensation, and based on the estimated FFT window position of the FFT operation to obtain frequency domain data, demodulated. Then corresponding to the position of the pilot subcarriers are extracted on pilot inform)
- 2020-11-04 23:49:52下载
- 积分：1
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hierarchicalCentroid
Descriptor for simple shapes (e.g letters).
Computes the descriptor twice in order to describe horizontally and vertically with the same accuracy.
Input: image (2-D, binary or gray)
depth of recursion (default 7),
plotFlag(if on - plot Illustration)
Output:
vec - descriptor: Division locations, values around zero. Of length 2*(2^depth - 2)
(levels: the depth of the division locations.)
- 2013-04-21 07:22:15下载
- 积分：1
