资源列表
jentui-V0.7
- 基于多相结构的信道化接收机，LCMV优化设计阵列处理信号，课程设计时编写的matlab程序代码。- Channelized receiver based on multi-phase structure, LCMV optimization design array signal processing, Course designed to prepare the matlab program code.
1
- 关于现代测试技术及应用的小练习，对不同点测量值的误差分析 线性拟合 -On the modern test technology and application of small practice, the difference between the measured value of the error analysis of linear fitting
xq172
- 计算多重分形非趋势波动分析matlab程序,比较了软阈值，硬阈值及当今各种阈值计算方法,计算互信息非常有用的一组程序。- Calculation multifractal detrended fluctuation analysis matlab program, Comparison of soft threshold and hard threshold and today various threshold calculation method, Mutual information is
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- 现代测试技术小练习，岩土工程中使用的钢弦式压力传感器，各种质量指标求解-Modern test technology small practice, geotechnical engineering used in steel string pressure sensor, a variety of quality indicators to solve.
hfukh
- 连续相位调制信号(CPM)产生，模式识别中的bayes判别分析算法，用MATLAB实现动态聚类或迭代自组织数据分析。- Continuous phase modulation signal (CPM) to produce, Pattern Recognition bayes discriminant analysis algorithm, Using MATLAB dynamic clustering or iterative self-organizing data analysis.
yhwdr
- 最小均方误差（MMSE）的算法，是路径规划的实用方法，均值便宜跟踪的示例。- Minimum mean square error (MMSE) algorithm, Is a practical method of path planning, Example tracking mean cheap.
ns456
- 内含心电信号数据及运用MATLAB写的源代码，这是第二能量熵的matlab代码，能量谱分析计算。- ECG data and includes source code written in MATLAB, This is the second energy entropy matlab code, Energy spectrum analysis and calculation.
nun_fq83
- 中介真值程度度量，基于中介真值程度度量的图像分割本程序的性能已经超过其他算法，基于K均值的PSO聚类算法。- The true extent of the value of the intermediary measure, measure the true extent of the agency based on the value of image segmentation This program has exceeded the performance of other algorit
AtarodiAbbasali_SUT_AdvDSP_TH1.2
- It solved the contradiction of the convergence rate, tracking capabilities and the steady-state error, but when the error close to zero, step size changes too much, that lead to greater step in steady state-It solved the contradiction o
AtarodiAbbasali_SUT_AdvDSP_TH1.1
- t improved the convergence speed and tracking speed further. In this paper, a new adaptive variable step size algorithm is proposed based on the LMS filter algorithm of Lorentzian function,
AtarodiAbbasali_SUT_AdvDSP_TH1.15
- From the above formulas we can see, when choose the value of the step factor, the steady-state error and convergence rate are contradictory mutually, that is, the smaller step size lead to smaller offset and the slower convergence rate the la
AtarodiAbbasali_SUT_AdvDSP_TH1.5
- In the beginning of adaption, the big error makes the big step size and fast convergence rate with the adaptive process going on, errors are reduced gradually, step size is also decreased. When adaption reached steady-state phase, the error i