OPF

2PSK的调制与解调,源代码很详细，并有注释，程序功能也能完善，可以直接使用哦！(the modulation and demodulation of 2psk)

FIR与IIR滤波器在DSP上的实现.　　　DSP是利用计算机或专用DSP处理器，以数字形式对信号进行采集、变换、滤波、估值、增强、压缩、识别等处理，以得到符合人们需要的信号形式。FIR(Finite Impulse Response)滤波器：有限长单位冲激响应滤波器，又称为非递归型滤波器，是数字信号处理系统中最基本的元件，它可以在保证任意幅频特性的同时具有严格的线性相频特性，同时其单位抽样响应是有限长的，因而滤波器是稳定的系统。(FIR and IIR filter is implemented on the DSP. DSP is the use of a computer or a dedicated DSP processor in digital form to the signal acquisition, conversion, filtering, valuation, enhancement, compression, recognition processing needs of the people to give signal form. FIR (Finite Impulse Response) filter: finite impulse response filter units, also known as non-recursive filters, digital signal processing system is the most basic element, it can guarantee any amplitude-frequency characteristics of both a strict linear phase-frequency characteristics, while the unit sampling response is of finite length, and thus the filter is stable system.)

matlab源码,802.11系统的性能仿真，主要用于款待无线通信系统中的一些参数设计(original code)

改进型的模糊预测控制算法matlab仿真程序，大家可以交流看一下(improved fuzzy pid predictive base on matlab software )

matlab endpoints.rar 函数源代码(matlab endpoints.rar functions)

包括主成分分析、因子分析、贝叶斯分析，包括 MUSIC算法，ESPRIT算法 ROOT-MUSIC算法，是机器学习的例程，基于chebyshev的水声信号分析，在MATLAB中求图像纹理特征，阐述了负荷预测的应用研究,是学习PCA特征提取的很好的学习资料，使用混沌与分形分析的例程。( Including principal component analysis, factor analysis, Bayesian analysis, Including the MUSIC algorithm, ESPRIT algorithm ROOT-MUSIC algorithm, Machine learning routines, Based chebyshev underwater acoustic signal analysis, In the MATLAB image texture feature, It describes the application of load forecasting, Is a good learning materials to learn PCA feature extraction, Use Chaos and fractal analysis routines.)

tutorial for matlab for image processing tool kit in power point presentation file

说明：  images of plate so as to create a database of templates

说明：  这个程序是EMD进行后对IMF的各个能量进行计算得出每个分量的能量分布，这个种方法也是一种常见方法,其中还包括这特征提取后的绘制可视程序。(This procedure is carried out after the IMF EMD various energies calculated energy distribution of each component, this method is also a common method.)

Notes on Model Reference Adaptive Control