faf

电梯概率问题 可以在准备数学建模的时候作为练习资料(mathmodeling)

用角谱法计算菲涅尔衍射图样，计算出后加上GS算法即可得出全息图(Fresnel diffraction pattern is calculated using the angular spectrum method, after adding GS algorithm to calculate the hologram can be derived)

混合扩频DS/FH仿真程序，从原始信号通过伪随机码，跳频码转变为混合扩频信号，再依次解跳解扩，最后通过低通滤波器恢复出信号。(Hybrid spread spectrum DS/FH simulation program, from the original signal by pseudo random code, frequency hopping code into a hybrid spread spectrum signal, and then hopping despreading, finally through a low-pass filter to recover the signal.)

这是matlab版的视频水印，仅供初学者参考。(This is videowatermark code.)

uwb receiver and transceiver with matlab

It is a three level matrix converter.

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.

说明：  SAR仿真程序，正侧视，条带式合成孔径雷达(SAR simulation program, are side, striped synthetic aperture radar)

一种新的改进的遗传编程，调用的子函数描述的很清晰，涵盖了经典遗传编程的所有步骤，方便大家的学习和参考(A new and improved genetic programming, call the subroutine described in very clear and covers all the steps of classical genetic programming, we facilitate learning and reference)

粒子群优化算法完成的毕业设计，包括matlab源代码+实验数据截图+粒子群优化算法的详细介绍(PSO complete graduation design, including experimental data matlab source code+ screenshot+ PSO algorithm details)