multicriculerlet-transform

优化IIR滤波器 速度提高了 代码在matlab可以运行(IIR matlab)

poisson过程的分布及其自相关函数，方差函数，平均值(poisson process distribution and autocorrelation function, variance function, average)

matlab经典时频分析工具箱，短时傅立叶变换（STFT），维格纳分布（WVD）,伪维格纳分布（PWVD）等时频分析方法(Toolbox short-time Fourier transform (STFT) Wigner distribution (WVD) pseudo-Wigner distribution (PWVD) frequency analysis method matlab classic time-frequency analysis)

DOA估计的传统经典之作，利用噪声子空间和信号子空间正交性，得到高分辨的拨打估计。(DOA estimation of the traditional classic, using the noise subspace and signal subspace orthogonality, get high resolution to estimate.)

说明：  介绍了非线性姿态的滤波方法，加性ekf以及乘性ekf等(Introduction of non-linear profile filtering method, the additive and multiplicative EKF EKF, etc.)

该程序是计算最优潮流的matlab工具箱。可以很好的求解目标函数不同的最优潮流问题。(The procedure is the calculation of optimal power flow matlab toolbox. Can be a good objective function for solving the optimal power flow problem different.)

是地址统计学中kriging插值软件，面向对象操作，可用性强(compute kriging)

基于粒子滤波的雷达检测前跟踪算法，建立新的目标模型和观测模型，提出了线性扩展目标。能够检测1db的弱小目标。(A radar target track-before-detect (TBD) algorithm using particle filter (PF) is presented in this paper. System dynamic model and measurement model are established based on a sequence of radar range-Doppler measurements using the new algorithm. Furthermore, a linear xtended target model is proposed, which is more capable of describing a maneuvering target than the conventional point arget model. The likelihood ratio function of the new model is also derived in this paper. Due to the accumulation of the PF-TBD over time and the effectiveness of the proposed target model, an mproved probability of detection for dim target is obtained. The experimental imulations demonstrate that the proposed method is capable of detecting and tracking a target with SNR of 1 dB robustly. )

使用快速傅里叶变换fft实现带有高斯白噪声的频谱估计(Using fast Fourier transform fft achieve spectrum estimation with Gaussian white noise)

说明：  利用SVM,采用网格法和交叉法，训练与预测数据，并形成图像(Using SVM, using grid method and cross method to train and predict data, and form images)