moPSO

压缩包包含4个天线选择算法的仿真，最佳选择，范数选择，递增选择和递减选择(Compressed package includes four antenna selection algorithm simulation, the best choice, norm selection, increasing choice and decreasing options)

说明：  此文件为satool的matlab源代码,适合参加数学建模的同学使用(Satool this file for the matlab source code, suitable for students to participate in the use of mathematical modeling)

MMSE detection of frequency offset

声音处理的MATLAB程序：DISTISPF (calculates the Itakura-Saito spectral distance between power spectra )

网上下载的一个程序开发的示例程序，很实用(Download an example of a program development process, it is practical)

说明：  压缩感知（Compressive Sensing(CS)，或称Compressed Sensing、Compressed Sampling）。该理论指出：对可压缩的信号可通过远低于Nyquist标准的方式进行采样数据，仍能够精确地恢复出原始信号。该理论一经提出，就在信息论、信号/图像处理、医疗成像、模式识别、地质勘探、光学/雷达成像、无线通信等领域受到高度关注，并被美国科技评论评为2007年度十大科技进展。(Compressed Sensing (Compressive Sensing (CS), known as Compressed Sensing, Compressed Sampling). The theory states: compressible signal can be much lower than the Nyquist criterion for sampling data, and still be able to accurately recover the original signal. The theory was put forth, to receive significant attention in the field of information theory, signal/image processing, medical imaging, pattern recognition, geological exploration, optical/radar imaging, wireless communications, and Technology Review named the 2007 top ten scientific and technological progress.)

微多普勒处理雷达数据 已通过测试 微多普勒处理雷达数据 已通过测试(Micro- Doppler radar data processing has been tested Micro- Doppler radar data processing has been tested )

matlab code for a function of fsk

Longitudinal Control of the Lead Car of a Platoon

OFDM下行的仿真1、产生要传输随机数； 2、进行调制； 3、串并转换； 4、进行IFFT操作（代码中有用到共轭对称向量的IFFT为实数进行简化计算）； 5、增加循环前缀； 6、并串转换； 7、输出前滤波； 8、增加信道噪声（加性高斯白噪声）； 9、接收端串并转换； 10、去除循环前缀； 11、进行FFT变换； 12、信号解调； 13、误比特率计算； (OFDM downlink simulation 1, have to be transmitted random number 2, the modulation 3 series and transforms 4, the IFFT operation (code useful to conjugate symmetric vector of the IFFT of real numbers to simplify calculations) 5, the increase in circulating prefix 6, and string conversion 7, the output before the filter 8, increased channel noise (additive white Gaussian noise) 9, the receiver string and conversion 10, removal of cyclic prefix 11, the FFT transform 12 , the signal demodulation 13, bit error rate )