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自适应滤波算法是自适应滤波器实现过程中较为重要的环节,数字信号处理器的出现为数字信号处理算法的 实现和大规模数据的实时处理提供了可能。通过对自适应最小均方算法(LMS) 及其各种改进算法的Matlab 仿真,进行分 析及归纳比较,得出结论,并在此基础上,提出算法的优化方案,以DSP 为平台,用汇编语言对自适应算法进行了描述,最终 以DSP 为平台完成了自适应滤波器的设计。(Adaptive filtering algorithm is an adaptive filter process is more important part of the emergence of digital signal processor for digital signal processing algorithm implementation and large-scale real-time data processing possible. The adaptive least mean square (LMS) algorithm and its various improved Matlab simulation, we analyze the comparison, draw conclusions, and on this basis, the proposed algorithm optimization program to DSP platform, with the assembly Language of the adaptive algorithm is described, the final completion of DSP-platform for adaptive filter design.)

说明：  基于小波空域相关法去噪MATLAB源程序.doc(Spatial Correlation Based on Wavelet Denoising MATLAB source. Doc)

说明：  遗传算法求最小值：求解De Jong函数最小值的matlab程序。(Minimum value of genetic algorithms: Solving De Jong functional minimum matlab program.)

说明：  此程序用提升法实现第二代小波变换,我用的是非整数阶小波变换(the procedure used to upgrade method is the second generation wavelet transform, I use a non-integer wavelet transform)

Implementations of various filters used in image processing

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)

使用simulink实现SCFDE迫零检测(Simulink realization using zero-forcing detection SCFDE)

说明：  to check the uniformity of generated random numbers using ks test

用于处理简单实验数据的曲线预测，可通过修改函数完成相关的插值或拟合工作(For curve prediction process simple experimental data, to be completed by the relevant interpolation or fitting work by modifying the function)

无线传感器网络仿真例子文件loadAndPrintNet.m，networksDB.mat，oneRoundWSN.m.需要用到图论工具箱grtheory(Examples of wireless sensor network simulation file loadAndPrintNet.m, networksDB.mat, oneRoundWSN.m. Need to use graph theory toolbox grtheory)