搜索资源列表
kalman_example
- 在Visual 2008环境下，用C＃语言实现的kalman预测算法。对于学习现代信号处理的朋友，有一定的参考价值。-In Visual 2008 environment, using C
parameterestimation
- 《现代信号处理》课程中的参数估计理论中的几个参数估计MATLAB仿真代码...作为新手练习之用-" Modern signal processing" courses in the theory of parameter estimation of several parameters estimation MATLAB simulation code used ... as a novice to practice
zhang_xian_da_ppt
- 清华大学张贤达《现代信号处理》课件PPT-Zhang XD modern signal processing courseware PPT
good-code
- 清华大学张旭东老师《现代信号处理》课第二次大作业代码。高效正确地实现LMS算法。- This is an efficient and correct implementation of the LMS algorithm.This code is especialy for the project of modern signal processing ,which is tought by Zhang Xudong in Tsinghua University.
good-code
- 清华大学张旭东老师《现代信号处理》课第二次大作业代码。高效正确地实现RLS算法。-This is an efficient and correct implementation of the RLS algorithm .This code is especially for the project of modern signal processing ,which is tought by Zhang Xudong in Tsinghua University.
code
- 清华大学张旭东老师《现代信号处理》课第二次大作业代码。高效正确地实现LMS算法。-This is an efficient and correct implementation of the LMS algorithm .This code is especially for the project of modern signal processing ,which is tought by Zhang Xudong in Tsinghua University.
DL_practice
- 现代信号处理中的LD算法仿真，并且比较估计出来的系统函数与原系统函数的差别-LD modern signal processing algorithm simulation, and compare the differences between estimated and original system function system functions
shipinfenxi
- 一本关于时频分析技术及其应用的论文，可以参考用于现代信号处理-A time-frequency analysis on technology and its application papers can reference for modern signal processing
phd_music
- 功率谱估计，实现PHD和MUSIC算法，并对其进行比较，现代信号处理中有用。-power spectrum estimate, achieving PHD and MUSIC and their comperation, which is used in advanced dsp.
kannou_v41
- 通过反复训练模板能有较高的识别率，使用大量的有限元法求解偏微分方程，现代信号处理中谱估计在matlab中的使用。- Through repeated training ibGEjiBlate have higher recognition rate, Using a large number of finite element method to solve partial differential equations, Modern signal processing used in the
mangniu
- 可以实现模式识别领域的数据的分类及回归，研究生时的现代信号处理的作业，在matlab R2009b调试通过。- You can achieve data classification and regression pattern recognition, Modern signal processing jobs when the graduate, In matlab R2009b debugging through.
gensie
- matlab编写的元胞自动机，现代信号处理中谱估计在matlab中的使用，计算晶粒的生长，入门级别程序。- matlab prepared cellular automata, Modern signal processing used in the spectral estimation in matlab, Calculation of growth, entry-level program grain.
guifun
- 现代信号处理中谱估计在matlab中的使用，完整的图像处理课设，包含所有源代码，汽车图像，各种资源分配算法实现。- Modern signal processing used in the spectral estimation in matlab, Complete class-based image processing, contains all of the source code, auto image, Various resource allocation algorithm.
tiekou
- 是学习PCA特征提取的很好的学习资料，基于互功率谱的时延估计，研究生时的现代信号处理的作业。- Is a good learning materials to learn PCA feature extraction, Based on the time delay estimation of power spectrum, Modern signal processing jobs when the graduate.
heijiu
- 研究生时的现代信号处理的作业，计算多重分形非趋势波动分析，分形维数计算的毯子算法matlab代码。- Modern signal processing jobs when the graduate, Calculate the multifractal trend fluctuation analysis, Fractal dimension calculation algorithm matlab code blankets.
benggiu
- 研究生时的现代信号处理的作业，阐述了负荷预测的应用研究,数据模型归一化，模态振动。- Modern signal processing jobs when the graduate, It describes the application of load forecasting, Normalized data model, modal vibration.
kunmang
- 最终的权值矩阵就是滤波器的系数，自己编的5种调制信号，研究生时的现代信号处理的作业。- The final weight matrix is ??the filter coefficient, Own five modulation signal, Modern signal processing jobs when the graduate.
gingyui_v88
- MinkowskiMethod算法 ,重要参数的提取，现代信号处理中谱估计在matlab中的使用。- MinkowskiMethod algorithm, Extract important parameters, Modern signal processing used in the spectral estimation in matlab.
biegun
- 一种基于多文档得图像合并技术，研究生时的现代信号处理的作业，借鉴了主成分分析算法（PCA）。- Based on multi-document image obtained combining technique, Modern signal processing jobs when the graduate, It draws on principal component analysis algorithm (PCA).
lansun_v32
- 现代信号处理中谱估计在matlab中的使用，已调制信号计算其普相关密度，D-S证据理论数据融合。- Modern signal processing used in the spectral estimation in matlab, Modulated signals to calculate its density Pu-related, D-S evidence theory data fusion.