MISO系统迫零预编码

基于MATLAB语言的局部增强的程序，供大家参考，适合入门者(MATLAB language based on local enhanced procedures for your reference, suitable for beginners)

说明：  卡尔曼滤波器的理论和实践，以及matlab仿真实例(KF Theory&Practice Using MATLAB)

一个小的matlab程序利用RBFNN进行函数拟合(A small matlab program using RBFNN for function fitting)

MATLAB基础与应用书籍，学好基础，掌握未来。(Foundation and Application of matlab)

Another file about actuator, please try it

图搜索，寻找最短路径，并进行两种算法的比较，源代码matlab(shortest path to the doal)

Compressive sensing (CS) has been proposed for signals with sparsity in a linear transform domain. We explore a signal dependent unknown linear transform, namely the impulse response matrix operating on a sparse excitation, as in the linear model of speech production, for recovering compressive sensed speech. Since the linear transform is signal dependent and unknown, unlike the standard CS formulation, a codebook of transfer functions is proposed in a matching pursuit (MP) framework for CS recovery. It is found that MP is efficient and effective to recover CS encoded speech as well as jointly estimate the linear model. Moderate number of CS measurements and low order sparsity estimate will result in MP converge to the same linear transform as direct VQ of the LP vector derived the original signal. There is also high positive correlation between signal domain approximation and CS measurement domain approximation for a large variety of speech spectra.

谱分析 绘制瞬时包络图和瞬时频率图 绘制Hilbert-Huang谱 画出边际谱(Spectrum draw instantaneous envelope and instantaneous frequency diagram drawing Hilbert-Huang spectrum shown marginal spectrum)

说明：  近场声全息的算法之一，等效源法近场声全息，程序为441采样点下的仿真(One of the algorithms of near-field acoustic holography is equivalent source method. The program is the simulation of 441 sampling points)

1。描述 ============== ============== Implementation of improved seam carving and the other generalized seam carving algorithms described in: 改进的缝雕刻和其他广义缝雕刻算法实现： "Visiblity Maps for Improving Seam Carving" "；提高煤层雕刻"可见性图； Alex Mansfield, Peter Gehler, Luc Van Gool and Carsten Rother 亚历克斯曼斯菲尔德，彼得gehler，Luc van Gool Carsten罗