2bitadpcm

说明：  matlab在电力系统中的应用，基于UPFC仿真程序(matlab in power system applications, based on UPFC simulation program)

把辨识分成两步进行：第一步：利用相关分析法获得对象的非参数模型（脉冲响应或相关函数）；第二步：利用最小二乘法、辅助变量法或增广最小二乘法等，进一步求的对象的参数模型。如果模型噪声与输入无关，则Cor-ls相关最小二乘法（二步法）可以得到较好的辨识结果。Cor-ls相关最小二乘法（二步法）实质上是先对数据进行一次相关分析，滤除了有色噪声的影响，再利用最小二乘法必然就会改善辨识结果。能适应较宽广的噪声范围，计算量不大，初始值对辨识结果影响较小。但要求输入信号与噪声不相关(The identification is divided into two steps: the first step: using the correlation analysis method for object nonparametric model (impulse response or related function) The second step: using the least squares method, auxiliary variable method or augmented least squares method and so on, further for the parameters of the object model. If the model input noise and independent, the Cor- ls related least squares (two footwork) can get good recognition results. Cor- ls related least squares (two footwork) is essentially the data to a correlation analysis, filter in addition to the influence of colored noise, using least squares inevitable will improve the identification result. To adapt to a wide range of noise and calculation is not big, the initial value to identification results less effect. But for the input signal and noise are not related)

matlab code for ofdm

MPSK MQAM MPAM理论误码曲线对比(MPSK MQAM MPAM theoretical BER curve comparison)

适合google earth使用的Matlab工具包，非常强悍。Matlab与Google earth的亲密结合！里面有GUI界面，非常便于操作。matlab源码也是开源的。(Various plotting/drawing functions that can be saved as KML output, and loaded in Google Earth )

变分贝叶斯方法进行压缩感知中的稀疏信号的重构(Variational Bayesian method for CS reconstruction)

this is a code for gui and it contains the matlab language codes and its really working codes.i think it will work for the people who are looking for it

用遗传算法估计伪随机码（PN序列），包含初始化，选择，交叉，变异(Is estimated by using genetic algorithms pseudo-random code (PN sequence), including initialization, selection, crossover and mutation)

BOC调制，原始信号扩频之后与方波相乘，使得频谱分裂，抗干扰能力很强！(BOC modulation, spread spectrum, after the original signal multiplied with the square wave, making the spectrum division, a strong anti-interference ability!)

信号处理的方法，包括了轴承特征频率计算，包络分析，fft分析，希伯特变换，信噪比计算等。(The signal processing methods include bearing characteristic frequency calculation, envelope analysis, FFT analysis, Hibbert transform, SNR calculation and so on.)