FBD-tool

CINEMATIC MODEL OF A ROBOT

说明：  matlab 聚类分析及数据挖掘的一种算法(matlab Clustering Data Mining Algorithm)

说明：  AR模型实验数据，在实际工作中测试出来的数据(AR model test data, test out the practical work of data)

-给原始的语音信号加上一个高频余弦噪声，频率为5kHz。画出加噪后的语音信号时域和频谱图--(- To the original speech signal with a high-frequency cosine noise, frequency of 5kHz. Draw the speech signal with noise after the time-domain and frequency spectrum-)

利用模糊PI控制器对空调室温对象进行控制，给出具体的室温模型及其对应的控制代码。(fuzzy PI controller targets for air-conditioning control room temperature, give a specific room temperature model and the corresponding control code.)

最优化线性搜索 MATLAB 方法 sd s s (zuiyouhua jshdj asdasjd jasd )

说明：  课件主要讲解了周期信号，非周期信号脉冲信号的原理以及MATLAB的编程(Courseware mainly explained the periodic signals, aperiodic signals, and the principle of pulse MATLAB programming)

基于MATLAB的通信系统的研究和分析，并对系统进行了建模(communication system)

将压缩感知用于谱估计中，根据论文谱压缩感知的一些程序(Compressive sensing (CS) is a new approach to simultaneous sensing and compression of sparse and compressible signals based on randomized dimensionality reduction. To recover a signal from its compressive measurements, standard CS algorithms seek the sparsest signal in some discrete basis or frame that agrees with the measurements. A great many applications feature smooth or modulated signals that are frequency sparse and can be modeled as a superposition of a small number of sinusoids. Unfortunately, such signals are only sparse in the discrete Fourier transform (DFT) domain when the sinusoid frequencies live precisely at the center of the DFT bins. When this is not the case, CS recovery performance degrades significantly. In this paper, we introduce a suite of spectral CS (SCS) recovery algorithms for arbitrary frequency sparse signals. The key ingredients are an over-sampled DFT frame, a signal model that inhibits closely spaced sinusoids, and classical sinusoid parameter e)

白光衍射很好的matlab仿真程序，可以运行实现的。(Bai Guangyan shoot good matlab simulation program can be run to achieve.)