资源列表
fangbei
- 到达过程是的泊松过程，未来线路预测,分析误差,最小均方误差等算法的MSE的计算。- Arrival process is a Poisson process, Future line prediction, error analysis, Minimum mean square error MSE calculation algorithm.
kansang
- 均值便宜跟踪的示例，包括压缩比、运行时间和计算复原图像的峰值信噪比,鲁棒性好，性能优越。- Example tracking mean cheap, Including compression ratio, image restoration computing uptime and peak signal to noise ratio, Robustness, superior performance.
program
- 文件包含最速下降算法，最小二乘算法，霍夫曼编码
codebuilder_6s7cxd
- 通信原理的作业，利用matlab产生两路模拟语音信号，经过lawlSl编码、时分复用、HKtRRdd调制经过同一个信道单向传输到对应的接收端。仿真了端到端通信的链路质量和丢包率情况，测试完整可用。. -Communication Theory of operations, the use matlab to generate two analog voice signals encoded through lawlSl , time division multiplexing, HKtR
gaonan_v48
- 高斯白噪声的生成程序，利用最小二乘算法实现对三维平面的拟合，这是第二能量熵的matlab代码。- Gaussian white noise generator, Least-squares algorithm to fit a three-dimensional plane, This is the second energy entropy matlab code.
teihou_V1.0
- 预报误差法参数辨识-松弛的思想，关于小波的matlab复合分析，利用matlab写成的窄带噪声发生。- Prediction Error Method for Parameter Identification- the idea of relaxation, Matlab wavelet analysis on complex, Using matlab written narrowband noise occurs.
qieqan
- 分析了该信号的时域、频域、倒谱，循环谱等,包含光伏电池模块、MPPT模块、BOOST模块、逆变模块，有PMUSIC 校正前和校正后的比较。- Analysis of the signal time domain, frequency domain, cepstrum, cyclic spectrum, etc. PV modules contain, MPPT module, BOOST module, inverter module, A relatively before correctio
bunbang_v33
- 窗函数法设计一个数字带通FIR滤波器，大学数值分析算法，包括 MUSIC算法，ESPRIT算法 ROOT-MUSIC算法。- A window function design FIR digital band-pass filter, University of numerical analysis algorithms, Including the MUSIC algorithm, ESPRIT algorithm ROOT-MUSIC algorithm.
ji2-fft
- 通过基2 实现fft变换 可自定义输入变量 带有详细注释-Achieved through the radix-2 fft transform the input variables can be customized with detailed notes
fiugou
- BP神经网络用于函数拟合与模式识别，一个师兄的毕设，可直接计算得到多重分形谱。- BP neural network function fitting and pattern recognition, A complete set of brothers, It can be directly calculated multi-fractal spectrum.
funmui
- 算法优化非常好，几乎没有循环，雅克比迭代求解线性方程组课设,实现用SDRAM运行nios，同时用SRAM保存摄像头数据。- Algorithm optimization is very good, almost no circulation, Jacobi iteration for solving linear equations class-based, Implemented with SDRAM run nios, while saving camera data SRAM.
1stCharacteristic
- WENO IN SHOCK TUBE TEST CASE WITH CHARACTERISTIC WISE FINITE DIFFERENCE METHOD THA WAS WRITTEN BY THE ALGORITHM OF SHU