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MATLAB关于FFT频谱分析的程序 MATLAB关于FFT频谱分析的程序(MATLAB on the FFT spectrum analysis procedures MATLAB on the FFT spectrum analysis procedures)

输入为一个序列或两个序列，输出为其自相关序列或互相关序列(Input as a sequence or two sequences, the output of its autocorrelation sequence or cross-correlation sequence)

介绍了卡尔曼滤波器的原理，附带了卡尔曼滤波器的m程序(Introduced the principle of the Kalman filter, Kalman filter with a program of m)

matlab gui 不同GUI之间控件的互相操作 的例子(matlab gui ，Interoperable examples of the different GUI between the control)

单一频率的正弦相关法动态测试系统的测试方法简单，不需要对系统进行辨识。只需要观察被测系统输出信号的相差和幅值变化。通过扫频的方法测量在不同的频率点下的幅值和相位变化。在工程应用中，只需要知道被测系统的相位变化在正常的范围内就可以视系统的动态性能正常。该仿真算法只是建立了一个模型。在实际运用时还需要变换测试信号的频率和周期。(A single frequency sinusoidal correlation method of testing dynamic testing system is simple, does not require system identification. Only need to observe the difference between the measured system output signal and amplitude change. Swept through the method of measurement points at different frequencies under the amplitude and phase changes. In engineering applications, only need to know the system under test changes in the normal phase it may be possible within the framework of the dynamic performance of the system to normal. The simulation algorithm is the establishment of a model. In the practical application of test signals also needed to change the frequency and periodicity.)

using RBF_NN intelligent architecture for the plant dynamic.

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.)

Simulink动态仿真中Stateflow建模存在问题(Simulink dynamic simulation modeling problems in the Stateflow)

光谱数据的一阶微分处理和s-g平滑，处理光谱数据的预处理方法(First-order differential processing and sg smooth spectral data, spectral data pretreatment method for processing)

Solve non-stiff differential equations