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kalman2
卡尔曼数据滤波,将文本数据进行很好的滤波,实践有效……………………(Kalman filter)
- 2010-12-02 18:02:00下载
- 积分:1
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gmsk2
本代码实现基本的GMSK调制解调的功能,经过调试可用(The code to achieve basic GMSK modulation and demodulation functions available through debugging)
- 2015-01-11 20:59:35下载
- 积分:1
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EEGLAB20120912
EEGLAB 中文帮助文档,很有用的, 有需要的同学可以下载下来看看(EEGLAB Chinese help documentation, very useful, there is a need for students to be able to download it and see)
- 2014-03-10 10:52:49下载
- 积分:1
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盲混响时间估计
说明: 通过直接分析声音文件得到最大似然估计法下的混响时间和混响时间的图像,房间空间的参数来自AIR数据库,数据库里面有多种房间形式的参数形式。(Through the direct analysis of sound files, the images of reverberation time and reverberation time under the maximum likelihood estimation method are obtained. The parameters of room space come from air database, which has many kinds of room forms.)
- 2020-05-20 16:09:06下载
- 积分:1
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dsss
说明: dsss有关的位同步帧同步数字锁相法实现位同步(dsss the bit synchronization method to achieve frame synchronization bit synchronous digital lock)
- 2011-04-08 13:10:38下载
- 积分:1
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CWM-code
本程序适用于论文A Cyclic Weighted Median Method for L1 Low-Rank Matrix Factorization with Missing Entries(this code is for A Cyclic Weighted Median Method for L1 Low-Rank Matrix Factorization with Missing Entries)
- 2013-08-30 21:45:09下载
- 积分:1
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human-testing
主要利用粒子滤波进行人体跟踪,能很好地进行人体跟踪(The main use of the particle filter for human body tracking, can be used for human body tracking)
- 2013-10-12 13:38:37下载
- 积分:1
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Matrix-ProgrammingBeta2.0
该编程为矩阵与数据分析课的编程作业程序,里面包括matlab的三次样条曲线程序,有Jacobi迭代法和Gauss-Seidel迭代法等(The programming and data analysis for the matrix class programming operations program, which includes the cubic spline curve matlab procedures, Jacobi and Gauss-Seidel iterative method iterative method)
- 2013-07-11 10:49:54下载
- 积分:1
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STM8-AN3266-interrupts
STM8 interrupts how to implement application note
- 2014-08-27 16:31:14下载
- 积分:1
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UKF
很标准的无味卡尔曼滤波,UKF的仿真与用法。描述了两个非线性方程x=0.5 x + (25 * x / (1 + x^2)) + 8 * cos(1.2*(t-1)) y = (x^2 / 20)的UKF的用法。简单实用,有备注。对于卡尔曼滤波初学者很有用。(Very standard unscented Kalman filter, UKF simulation and usage. Describes two nonlinear equations x = 0.5 x+ (25* x/(1+ x ^ 2))+ 8* cos (1.2* (t-1)) y = (x ^ 2/20) of UKF usage. Simple and practical notes. For the Kalman filter useful for beginners.)
- 2021-04-27 10:48:44下载
- 积分:1