shangrenguohe

能够实现定点小数的机器数表示、定点小数的变形补码加减运算、定点小数的原码一位乘法运算和浮点数的加减运算。(Able to achieve fixed-point decimal number of machines that the deformation of complement fixed-point decimal addition and subtraction operations, the original code a fixed-point decimal multiplication and floating-point operations of addition and subtraction.)

gps和惯性组合导航算法和kalman滤波算法，应用于组合导航(GPS and inertial integrated navigation algorithm and Kalman filtering algorithm are applied to integrated navigation)

This function obtains the pi model of a transmission line the ABCD constants of the line.

基于小波稀疏表示的压缩感知SAR 成像算法研究.pdf(A Compressive Sensing Imaging Approach Based on Wavelet Sparse Representation)

分析了维纳滤波器均方误差及滤波性能与阶数和噪声方差之间的关系(Analysis of the Wiener filter and the filter mean square error performance and the order and the relationship between noise variance)

LMMSE performance analysis

利用DFT实现两轮信号相位差计算，包含谐波信号污染，白噪声信号污染分析(Phase difference between two signals to achieve the use of DFT calculations, the signal containing harmonics pollution, contamination white noise signal analysis)

说明：  matlab code for adding noise

最新、最全“高阶谱分析工具箱”，包括全部教程和DEMO.(There is much more information in a stochastic non-Gaussian or deterministic signal than is conveyed by its autocorrelation and power spectrum. Higher-order spectra which are defined in terms of the higher-order moments or cumulants of a signal, contain this additional information. The Higher-Order Spectral Analysis (HOSA) Toolbox provides comprehensive higher-order spectral analysis capabilities for signal processing applications. The toolbox is an excellent resource for the advanced researcher and the practicing engineer, as well as the novice student who wants to learn about concepts and algorithms in statistical signal processing. The HOSA Toolbox is a collection of M-files that implement a variety of advanced signal processing algorithms for the estimation of cross- and auto-cumulants (including correlations), spectra and olyspectra,bispectrum, and bicoherence, and omputation of time-frequency distributions. Based on these, algorithms for parametric and non-parametric blin)

基于双平行线阵的声矢量传感器的MUSIC算法 用于在高斯白噪声环境下估计信号的到2维达角度 (MUSIC algorithm based on dual parallel linear array of acoustic vector sensor it can be used to estimate the signal in Gaussian white noise environment to the two Vader angle)