matlab-yichuansuanf

永磁同步电机 卡尔曼 无速度传感器仿真 在实践中的 (matlab for pmsm ekf)

matlab fir LPF least square error with zeroa weighted

说明：  计算非线性时间序列的lyapunonv指数，并可用于对序列的预测(calculating lyapunov exponent about nonlinear time-series and predicting )

模拟2个独立窄带信号分别以20°，60°的方向入射到均匀线阵上，信号间互不相关，与噪声相互独立，噪声为理想高斯白噪声，阵元数为10，快拍数为200，信噪比为20dB，阵元间距分别为 tambada/6 tambada/2、tambada。(Simulate two independent narrowband signals in the direction of 20 °, 60 ° of the incident on the ULA, among signal unrelated, independent noise, the noise is ideal Gaussian white noise, the array element number 10, the number of snapshots for 200, SNR is 20dB, respectively array element spacing  tambada/6 tambada/2, tambada.)

偶极子和单极子的馈电模型，表面电流分布，辐射强度分布，辐射方向图，以及加载阻抗(Dipoles and monopoles feed model, the surface current distribution, radiation intensity distribution, radiation pattern, and the load impedance)

核概率密度估计算法，对于以往的有优化，可以得到概率密度及分布函数。(Nuclear probability density estimation algorithm optimized for the past there, you can get the probability density and distribution functions.)

LDPC在BPSK考虑AWGN信道下，采用软判决和积算法的仿真。这是第一个(LDPC in AWGN channel BPSK considering the introduction of soft-decision and the plot of the simulation algorithm. This is the first)

本文提出了一种基于独立分量分析的音频数字水印方法。嵌入水印时,对原始音频文件进行一级小波分解,在分解 得到的逼近分量中利用随机混合方法嵌入水印后进行小波逆变换形成嵌入水印的音频文件。仿真实验结果表明这种方 法的强鲁棒性和可行性。(Abstract:Audio p roduction is one of the important digital multimedias, which transmit becomes more and more convenient. To p revent the multimedia content from being stolen or illegally used, audio content p rotection techniques become increasingly impor2 tant so that the potential of these app lications can be reached. As the importantmethod of copyright p rotection, the digitalwater2 marking technology has been acquired widely recognition and research. This paper p resents a method of digital audio watermark2 ing based on independent component analysis. When embedding watermarking, the original audio is decomposed by single2level discrete 12D wavelet transform, watermarking is embedded by mixing randomly to the app roximation coefficient vector obtained, and the audio is single2level reconstructed receiving audio havingwatermarking. Emulated experiment results show that thismeth2 od is robust and feasible.)

g.722 code for speech compression

说明：  先运用pca找到主要的影响变量，然后用rbf神经网络建模(First use PCA to find the impact of major variables, and then use the rbf neural network modeling)