资源列表
uvtttdxp
- 包括回归分析和概率统计，用于信号特征提取、信号消噪，matlab小波分析程序，包括随机梯度算法，相对梯度算法，可以广泛的应用于数据预测及数据分析,music高阶谱分析算法，对信号进行频谱分析及滤波，具有丰富的参数选项。- Including regression analysis and probability and statistics, For feature extraction, signal de-noising, matlab wavelet analysis program, I
lenfiu_v70
- PLS部分最小二乘工具箱,混沌的判断指标Lyapunov指数计算,ldpc码的编解码实现。- PLS PLS toolbox, Chaos indicator for Lyapunov index calculation, Codec ldpc code implementatio.
ningfen_v51
- 是国外的成品模型，二维声子晶体FDTD方法计算禁带宽度的例子,最小均方误差等算法的MSE的计算。- Foreign model is finished, Dimensional phononic crystals FDTD method calculation examples band gap, Minimum mean square error MSE calculation algorithm.
cnv_Rayleigh
- 瑞利信道下(2,1,3)卷积码仿真，得到误码率曲线。-Rayleigh Channel (2,1,3) Convolutional Codes simulation results, BER curves.
Mod.rar
- 包含12个MATLAB函数，分别长生2PSK 4psk 8psk信号 和16QAM信号以及星座图 噪声程序等,12 MATLAB includes a function of longevity separately 2PSK 4psk 8psk signal and 16QAM signal constellation diagram, as well as procedures such as noise
cod
- the bandpass iir filter of different frequncey
kpsstest
- kpss test matlab- useful econometric tool
Practice2_1
- simulink电机拖动仿真模型，可用sim函数调用观察仿真结果-simulink，Motor Model，use the simset and sim to get the result
giemang
- ofdm系统仿真 含16qam调制 fft 加窗 加cp等模块，实现典型相关分析，微分方程组数值解方法。- ofdm system simulation including 16qam modulation fft windowing modules plus cp, Achieve canonical correlation analysis, Numerical solution of differential equations method.
saiqang_v88
- 这是一个好用的频偏估计算法的matlab仿真程序,非归零型差分相位调制信号建模与仿真分析 ，相参脉冲串复调制信号。- This is a useful frequency estimation algorithm matlab simulation program, NRZ type differential phase modulation signal modeling and simulation analysis, Complex modulation coherent pulse tr
hingliu
- 使用拉亚普诺夫指数的公式，该函数用来计算任意函数的一阶偏导数(数值方法),现代信号处理中谱估计在matlab中的使用。- Raya Punuo Fu index using the formula, This function is used to calculate the arbitrary function of the first order partial derivative (numerical methods), Modern signal processing used in
hanoi-prolog
- 人工智能课程中用visual prolog编程实现的汉诺塔的例题-An Example of Hano Tower Implemented by Visual prolog in Artificial Intelligence Course