engine-model

MIMO-OFDM仿真程序，包含完整的信道仿真程序，信道估计程序(MIMO-OFDM simulation program, including a complete simulation program channel, channel estimation procedures)

已知载波频率的扩频通讯MATLAB程序，通过扩展频率实现低信噪比的传输 (known carrier frequency of spread spectrum communication MATLAB program, through the expansion of low-frequency signal-to-noise ratio transmission)

hopping code in digital communication systems

MATLAB关于FFT频谱分析的程序,可以实现信号的频谱分析(MATLAB on the FFT spectrum analysis procedures, spectral analysis of the signal can be achieved)

mimo中信道部分的实现的程序，可能会有些问题，希望大家指正(MIMO channel realize part of the process, there is a problem, I hope everyone correction)

该程序包实现了VBLAST结构的传输下，接收端采用ZF、ZF_SIC、MMSE、MMSE-SIC等检测算法时误码率和信噪比的性能比较(The package implements the transmission of VBLAST structure, the receiver with ZF, ZF_SIC, MMSE, MMSE-SIC detection algorithm for error rate and SNR performance comparison)

可逆直流脉宽调速系统的仿真中很重要的一个模块PWM(Reversible DC PWM speed control system simulation is an important module in PWM)

选择输入信号的参数，以及抽样因子，以及采样参数，对信号分别进行上抽样和下抽样，方便非均匀采样的进行。(Select the input signal parameters, and sampling factors, as well as sampling parameters, respectively, on the signal sampling and down sampling, to facilitate the conduct of non-uniform sampling.)

这是一个模糊PID的simulink仿真程序，有需要的朋友可以下载(fuzzy PID)

说明：  通过并行压缩进行二维信号压缩，提出了一种利用并行压缩传感技术对二维信号进行压缩的新方案。根据这个原理，译码器的重新构造可以并行进行。通过对二维信号进行某些排列，可以确保所有列具有大致相同的密度级别，并且可以使用相同的测量矩阵进行采样。这样可以避免二维信号的矢量化，从而大大减小测量矩阵的尺寸。我们证明，如果排列良好，重建均方误差的上限会更紧。为了说明这一方案，我们将其应用于视频压缩并使用不同帧的排列有两种：参考帧的基于Z字形扫描的排列和非参考帧的基于块测试的排列。仿真结果表明，在相同的压缩比下，峰值信噪比比比在无置换情况下可提高3-7db左右。(we propose a new scheme to compress 2D signals using parallel compressed sensing. According to this seheme, the reeonstruction at the decoder can be performed in parallel. By performing certain permutation on a 2D signal, all columns are insured to have approximately the same density level and can be sampled using the same measurement matrix. In this way, vectorization of a 2D signal can be avoided, and thus the size of the measurement matrix can be dramatically reduced. We prove that with a good permutation, we can have a tighter upper bound on reconstruction mean square error. To illustrate this scheme, we apply it to video compression and use two kinds of permutations for different frames: the zigzag-scanbased permutation for reference frames and the block-test-based permutation for non-reference frames. Simulation results show that under the same compression ratio, the peak signal-to-noise ratio can be improved by approximately 3-7 dB compared to the case without permutation.)