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- 线性低通滤波器的MATLAB仿真程序 -linear low-pass filter MATLAB simulation program linear low-pass filter MATLAB simulation program Linear low-pass filter MATLAB simulation program linear low-pass filter MATLAB simulation program
Filte
- 源程序可以处理各种需要低通滤波的数据，笔者曾用它处理过气测录井数据。如果稍加变通还可设计出高通、带通、带阻滤波器。从而满足各种现场数据处理的需求。
Filter
- 用于绘制LMF波形匹配滤波器输出波形的包络
bootstrap.zip
- 滤波器 bootstrap.zip
bpf_lpf
- 带通滤波器设计软件,可以用来计算两阶带通滤波器的LC参数-Band-pass filter design software, can be used to calculate the two-order band-pass LC filter parameters
LMSAdptiveFilter
- 采用最小均方准则误差的自适应滤波器，根据输入信号的统计特性自动调整其结构参数，以满足某种最佳准则的要求。-Guidelines for use of minimum mean-square error of the adaptive filter, according to statistical characteristics of the input signal automatically adjusting its structural parameters, in order to m
RLSAdptiveFilter
- 采用递归的最小二乘算法的自适应滤波器，比LMS算法具有较好的收敛特性和跟踪性能。-Using the recursive least squares algorithm for adaptive filter, LMS algorithm has better than the convergence characteristics and tracking performance.
KalmanAdptiveFilter
- 卡尔曼滤波器是用前一个估计值和最近一个观察数据估计信号的值，他是用状态方程和递推的方法进行估计，本例用来追踪一个5阶的FIR不确定的滤波器系数。-Kalman filter is to use the previous estimate and the most recent observation data to estimate the value of the signal, he is using the state equation and recursive estimation m
adaptive_filter
- 最小均方自适应滤波器（LMS）是由Widrow和Hoff在1960年始创，它是以横向（即抽头延时线）结构为基础构建的。其最基本的形式设计简单，性能也高度高效。这两个特性使得LMS滤波器在各种应用中非常流行。递归最小二乘自适应滤波器（RLS）由于可提供快收敛速率而且对输入信号相关矩阵特征值扩散度变化不敏感，从而突破了LMS族的某些实际限制；其代价是增加了计算的复杂度。-the LMS algorithm of adaptive filter
FWPRO_Setup3.0
- 滤波器设计软件，打开后选resister-enable注册，去掉破解码的汉字部分-filter pro wiz
elecfans
- 卡尔曼滤波器扩展型号的非常有用，速度很快很强大-Kalman filter extended models are very useful, fast and very powerful
weina
- 维纳滤波器仿真，是对基本算法原理的实现，没有考虑误差模型-Wiener filter simulation, the realization of the basic algorithm principle, without considering the error model
kalman1
- 卡尔曼滤波器的实现，对两个参量进行了滤波分析，效果比较理想-Realization of the Kalman filter, the filter of two parameters, the effect is more ideal
samp5_5
- 通过matlab设计Bessel模拟滤波器，实现滤波仿真-Design Bessel analog filter, the filter simulation by matlab
matchedfilter
- 用于雷达信号处理中基本匹配滤波器设计的matlab源代码-matched filter
target-tracking-radar
- 下面是利用卡尔曼滤波的方法，实现雷达对目标的跟踪:一目标沿水平方向运动，起始位置为（－2000米，1000米），运动速度为15米/秒，扫描周期T＝2秒， 米，采用蒙特卡洛方法对跟踪滤波器进行仿真，仿真次数为100次。-Below is the use of Kalman filtering method, to achieve the target tracking radar. Parameter :: a target in a horizontal direction, the start
test_radar2
- GBP1仿真，用于雷达跟踪，包含卡尔曼滤波器-GBP1 simulation
LSL_c2
- 二阶格型滤波器可以较好的对信号进行噪声滤波，提高信噪比，误差较小，收敛速度较RSL快(The two order lattice filter can filter the signal better, improve the SNR, the error is small, and the convergence speed is faster than that of RSL)
LSL_c3
- 三阶格型滤波器，较二阶误差小，收敛速度变快，并且减少了冲击情况的出现(The three order lattice filter has smaller error than the two order, faster convergence speed, and reduces the emergence of shock)
LSL_c4
- 四阶格型滤波器，较二阶，三阶误差更小，收敛速度变快，50次即可迭代完成，在降噪方面有显著效果。(Four order lattice filter, compared with the two order, three order error is smaller, faster convergence speed, 50 iterations can be completed, in terms of noise reduction has a significant effect.)