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sin_interp
Star Code for signal processors. Generating a sine wave interpolated.
- 2010-06-27 05:43:54下载
- 积分：1
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xishu
应用切片理论计算船舶水动力系数，以一条船分为20站为例进行计算(Application slice theoretical calculations ship hydrodynamic coefficients to a boat into 20 stations as an example calculation)
- 2013-12-25 09:15:33下载
- 积分：1
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Monte_Carlo_matlab
simple Monte Carlo tutorial
- 2011-12-24 22:32:39下载
- 积分：1
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s-transformation
s变换和广义s变换( s transformation and generalized s transformation)
- 2015-03-24 13:36:00下载
- 积分：1
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paper1
基于MATLAB的自相关函数基音检测的优化.pdf(Autocorrelation function of pitch detection based on MATLAB optimization. Pdf)
- 2013-12-17 20:59:03下载
- 积分：1
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finger
图像识别利用MATLAB或VC编写一个系统，使得该系统能满足信息处理、频域处理、语音增强、识别等内容。(Image recognition using MATLAB or VC write a system so that the system can meet the information processing, frequency domain processing, speech enhancement, recognition and so on.)
- 2013-12-14 19:10:29下载
- 积分：1
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Kalman_Filtering
卡尔曼滤波在目标跟踪中应用仿真研究。
子函数能完成对运动目标位置的卡尔曼滤波跟踪。
主函数针对一具体假设完成跟踪，并且完成蒙特卡罗仿真。
情景假定：有一两座标雷达对一平面上运动的目标进行观测，目标在 0-600秒沿x轴作恒速直线运动，运动速度为15米/秒，目标的起始点为(-10000米，2000米)。雷达扫描周期T=2秒，x和y独立地进行观测，观测噪声的标准差均为100米。(This program described the Kalman filter algorithm according to a given scenario, simulation achieved the target tracking observation data and Kalman filter results, and the experimental results is studied using the Monte Carlo simulation. )
- 2021-05-13 01:30:03下载
- 积分：1
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DFTerive.m
Computes the Discrete Fourier Transform of a function.
- 2009-11-27 14:03:57下载
- 积分：1
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comparewav
说明： 图象多尺度分析，可与多分辨方法进行比较。并可输出结果。(image multiscale analysis, and multi-resolution methods. May output.)
- 2005-12-09 15:42:43下载
- 积分：1
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ukf
说明： EKF仅仅利用了非线性函数Taylor展开式的一阶偏导部分（忽略高阶项），常常导致在状态的后验分布的估计上产生较大的误差，影响滤波算法的性能，从而影响整个跟踪系统的性能。最近，在自适应滤波领域又出现了新的算法——无味变换Kalman滤波器（Unscented Kalman Filter-UKF）。UKF的思想不同于EKF滤波，它通过设计少量的σ点，由σ点经由非线性函数的传播，计算出随机向量一、二阶统计特性的传播。因此它比EKF滤波能更好地迫近状态方程的非线性特性，从而比EKF滤波具有更高的估计精度。
(EKF only uses non-linear function of the first-order Taylor expansion of some partial derivatives (ignoring higher order terms), often leading to the posterior distribution of the state estimates to generate large errors affect the performance of filtering algorithms, which affect the whole tracking system performance. Recently, the field of adaptive filtering algorithms and the emergence of new- and tasteless transform Kalman filter (Unscented Kalman Filter-UKF). EKF UKF filter is different from the idea that it points through the design of a small amount of σ by σ point spread through the nonlinear function to calculate the random vector first and second order statistical properties of the transmission. Therefore it is better than the EKF filter nonlinear characteristics equation of state approach, which is more than the EKF filter estimation accuracy.)
- 2011-03-19 11:50:18下载
- 积分：1
