CHAPTER8

说明：  统计中的COSSO方法,一种很有效的方法(cosso with adaptive models)

matlab 算法 (matlab algorithm)

这是邮局选址的经典答案。数学建模的 太强大了啊啊啊啊啊啊啊啊啊(This is the site of the classic post the answer. Mathematical modeling ah ah ah ah ah ah too strong ah ah ah)

ufc无监督优化模糊聚类用于彩色图像分割(ufc Unsupervised Fuzzy Clustering for Color Image Segmentation)

关于16QAM，64QAM的调制程序。可作为单独模块加入到任何信道。 (-On the 16QAM，64QAM modulation process. As a separate module can be added to any channel.)

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)

This is about source code management.

基于MATLAB实现了极坐标下的傅里叶变换，对一个给定 n×n 的二维信号，其计算复杂度等价于笛卡尔坐标下的2D-FFT，可广泛应用于图像处理和分析。(A fast high accuracy Polar FFT algorithm is given in the software package written in MATLAB. For a given 2D signal of size n×n, the algorihtm s complexity is just like in a Cartesian 2D-FFT, which can be used widely in image processing and analysis.)

卡尔曼滤波算法是一种状态估计算法，它是最小二乘法的特殊形式，所以，卡尔曼滤波算法也能做系统辨识，这个代码是自己写的，基于卡尔曼滤波算法的系统辨识，希望对大家有用(Kalman filter algorithm is a state estimation algorithm, which is a special form of least squares method, so the Kalman filter algorithm can do system identification, this code is to write their own, based on Kalman filtering system identification algorithm, we want to useful)

speech recogniton code