app4

LBL卡尔曼滤波/平滑算法与DNS误差参数辨识程序(LBL Kalman filtering/smoothing algorithm with the DNS error parameter identification procedures)

基于卡尔曼滤波的道路目标检测与跟踪研究，采用交互多模(IMM)算法()

MUSIC算法[1]是一种基于矩阵特征空间分解的方法。从几何角度讲，信号处理的观测空间可以分解为信号子空间和噪声子空间，显然这两个空间是正交的。信号子空间由阵列接收到的数据协方差矩阵中与信号对应的特征向量组成，噪声子空间则由协方差矩阵中所有最小特征值（噪声方差）对应的特征向量组成。(MUSIC algorithm [1] is a feature space based on matrix decomposition method. From the geometric point of view, the signal processing can be decomposed observation space the signal subspace and the noise subspace, it is clear that the two spaces are orthogonal. Signal Subspace data received by the array covariance matrix and eigenvectors corresponding to the signal component, the noise subspace from the covariance matrix of all the smallest eigenvalue (noise variance) eigenvector components.)

自适应turbo码均衡提高的性能分析，仿真分析，英文文献(The adaptive the turbo codes equalizer improve the performance analysis, simulation analysis, English literature)

triangular-signal empirical mode decomposition with samples

模式识别的重要工具箱，共同学习公共进步。(Pattern recognition toolbox, useful for all of us hope!)

bpsk matlab simulation

Modélisation machine asychnrone par simulink

for computing the BER for BPSK modulation in a Rayleigh fading channel with Alamouti Space Time Block Coding for Two transmit antenna, Two Receive antenna

自适应滤波器，求解性能误差曲面和等值曲线，最陡下降法和LMS算法的比较，(Adaptive filter, the solution surface and contour error performance curve, the steepest descent method and the LMS algorithm,)