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Description: 时间延迟估算是在现供求信号处理中经常会被用到,以检测波入射的方向(雷达、声纳和地震波)。这里给出一个自适应时间延迟估算--Adaptive(LMS) Time Delay Estimation--的MATLAB程序,供大家参考。
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Author: songzy41 |
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Description: lms算法实现单波束形成,线阵单波束形成,(linear array signal beamforming )-LMS beamforming algorithm alone, single-line array beamforming, (linear array signal beamforming)
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Size: 1024 |
Author: songkaige |
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Description:
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Size: 1024 |
Author: songzy41 |
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Size: 1024 |
Author: 洪小斌 |
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Description: 对于语音信号延迟的LMS算法,对于时间延迟算法有所借鉴-The voice signal delayed LMS algorithm, for the time delay has been drawing algorithm
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Size: 4096 |
Author: 王正 |
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Description: the code fille named lms filter time delay calculater
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Size: 7168 |
Author: tanveersharafat |
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Description: this program is very useful in calculating the delay of a sine wave using the LMS algorithm
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Size: 1024 |
Author: khan |
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Description: verilog HDL 写的LMS滤波器-LMS filter using verilog HDL language
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Size: 350208 |
Author: rayax |
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Description: 使用LMS算法进行预测的Matlab源代码
使用时只需改变载入文件名
调整L和delay就可以了-Using the LMS algorithm to predict the use of Matlab source code file name when you only need to change the load L and the delay can be adjusted in
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Size: 1024 |
Author: 侯晋峰 |
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Description: 1.原始信号A,通过信道受噪声污染后的信号q,然后分别经过均衡器ZF(MMSE)得到信号U,可以画出U的分布图 2.分别应用LMS,SATO,CMA算法得到U。(其中包括最佳延迟、均方误差的计算)所有结果均以图像形式显示。-1. The original signal A, subject to noise pollution through the channel after the signal q, and then through the equalizer, respectively ZF (MMSE) receive the signal U, the distribution of U can draw Figure 2. Were applied LMS, SATO, CMA algorithm to be U. (Including the best delay, mean square error terms) all the results are displayed in graphic form.
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Size: 819200 |
Author: concha |
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Description: The earliest work on adaptive filters may be traced back to the late 1950s, during
which time a number of researchers were working independently on theories and
applications of such filters. From this early work, the least-mean-square ð LMSÞ algorithm emerged as a simple, yet effective, algorithm for the design of adaptive
transverse (tapped-delay-line) filters.-The earliest work on adaptive filters may be traced back to the late 1950s, during
which time a number of researchers were working independently on theories and
applications of such filters. From this early work, the least-mean-square ð LMSÞ algorithm emerged as a simple, yet effective, algorithm for the design of adaptive
transverse (tapped-delay-line) filters.
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Size: 91136 |
Author: pravin jadhav |
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Description: 对信号进行时间延迟估计所用的工具箱,方便对算法的使用。-Time delay estimation of signals used by the toolkit to facilitate the use of the algorithm.
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Size: 14336 |
Author: xiaoke |
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Description: MATLAB时延LMS算法仿真-Matlab time delay LMS
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Size: 7168 |
Author: 赵寅 |
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Description: lms系统逆辨识的实现,有个延时需要自己加上-lms against the identification system to achieve, there is a need to delay added by
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Size: 1024 |
Author: danny |
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Description: 最小均方差(LMS)滤波器时延估计算法的Matlab实现-Matlab achieve minimum mean square (LMS) filter delay estimation algorithm
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Size: 8192 |
Author: 涂维纳 |
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Description: 利用lms算法,实现FIR滤波器对噪声的滤波。参数有滤波器抽头数、步长延迟间隔、 采样点数、采样间隔。输出无噪声、干扰、提取的信号波形-Use of the the lms algorithm to achieve the FIR filter for noise filtering. Parameters the number of filter taps, the delay interval of step, sampling points, sampling interval. Signal waveform output without noise, interference, extracted
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Size: 2048 |
Author: wangguangyu |
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Description: lms time delay estimation matlab cod for digital signal processing
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Size: 1024 |
Author: mahdie |
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Description: 基于LMS自适应时延估计算法,研究基于分数低阶的时延估计算法,包括:基于共变的时间延迟估计,基于分数低阶协方差的时延估计方法,还有最小平均P范数时延估计方法。 -Delay estimation algorithm based on LMS adaptive research based on the fractional lower order time delay estimation algorithm, including: covariation-based time delay estimation, based on the fractional lower order covariance delay estimation method, as well as the minimum norm when the average P delay estimation method.
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Size: 3072 |
Author: 郑微 |
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Description: 基于LMS自适应时延估计算法,研究基于分数低阶的时延估计算法,包括:基于共变的时间延迟估计,基于分数低阶协方差的时延估计方法,还有最小平均P范数时延估计方法。 -Delay estimation algorithm based on LMS adaptive research based on the fractional lower order time delay estimation algorithm, including: covariation-based time delay estimation, based on the fractional lower order covariance delay estimation method, as well as the minimum norm when the average P delay estimation method.
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Size: 3072 |
Author: 郑微 |
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Description: The antenna is customize by combining the output of individual sensors and they are scaled based on the corresponding weight. And with the help of minimum squared error the LMS can compute the weight . Spatial filtering involves the signal estimation in receiver by reducing the error with the help of reference signal d(t)[5]. And it has some correlation with desired signal and beam former output y(t). The solution is obtained by iteration using LMS algorithm.
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Size: 2048 |
Author: prajansid |
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