cvx

LMS算法源代码，输入为正弦加噪声LMS算法源代码，输入为正弦加噪声(LMS algorithm source code, the input is sinusoidal plus noise LMS algorithm source code, the input is sinusoidal plus noise)

基于popov超稳定性的模型参考自适应控制matlab仿真(popov)

Channel estimation techniques for OFDM systems based on a pilot arrangement are investigated. Channel estimation based on a comb type pilot arrangement is studied through different algorithms for both estimating the channel at pilot frequencies and interpolating the channel. Channel estimation at pilot frequencies is based on LS and LMS methods while channel interpolation is done using linear interpolation, second order interpolation, low-pass interpolation, spline cubic interpolation, and time domain interpolation. Time-domain interpolation is obtained by passing to the time domain by means of IDFT (inverse discrete Fourier transform), zero padding and going back to the frequency domain by DFT (discrete Fourier transform). In addition, channel estimation based on a block type pilot arrangement is performed by sending pilots in every sub-channel and using this estimation for a

Tranformasi wavelet merupakan perbaikan dari transformasi Fourier. Transformasi Fourier hanya dapat menangkap informasi apakahsuatu sinyal memiliki frekuensi tertentu ataukah tidak, tapi tidak dapat menangkap dimana frekuensi itu terjadi. Jika Transformasi Fourier hanya memberikan informasi tentang frekuensisuatu sinyal, maka transformasi wavelet memberikan informasi tentang kombinasi skala dan frekuensi

MUSIC算法是一种基于矩阵特征空间分解的方法。从几何角度讲，信号处理的观测空间可以分解为信号子空间和噪声子空间，显然这两个空间是正交的。信号子空间由阵列接收到的数据协方差矩阵中与信号对应的特征向量组成，噪声子空间则由协方差矩阵中所有最小特征值（噪声方差）对应的特征向量组成。MUSIC算法就是利用这两个互补空间之间的正交特性来估计空间信号的方位。噪声子空间的所有向量被用来构造谱，所有空间方位谱中的峰值位置对应信号的来波方位。MUSIC算法大大提高了测向分辨率，同时适应于任意形状的天线阵列，但是原型MUSIC算法要求来波信号是不相干的。(MUSIC algorithm is a matrix decomposition method based on feature space. From the geometric point of view, the observed spatial signal processing can be decomposed into signal subspace and noise subspace, it is clear that the two spaces are orthogonal. The signal received by the array to the subspace of the covariance matrix of the signal component corresponding eigenvectors, the noise subspace of the covariance matrix of all by the smallest eigenvalue (noise variance) eigenvectors corresponding to the composition. MUSIC algorithm is the use of orthogonal properties between these two complementary space to estimate the spatial orientation of the signal. Noise subspace of all vectors are used to construct the spectrum, all the spatial orientation of the spectrum corresponding to the peak position of the signal wave direction. MUSIC algorithm greatly improves the resolution measurements, while the antenna array adapted to any shape, but the prototype MUSIC algorithm requires to wave sign)

图像处理，车牌识别，比较实用的参考程序。(Image processing, license plate recognition)

说明：  Matlab 的Numerical Computing，全书pdf＋全代码，英文版(Matlab Numerical Computing, the whole book pdf+ code, in English)

ldl分解，科教版 数值分析于科学计算 北京工业大学研究生精品课程(LDL decomposition, science and education in scientific computing version numerical analysis Beijing university graduate course )

matlab code (kMean.m) used kMean, clusturing. for Speech Recognition

文件是雷达设计使用的matlab源代码，其参考的是书籍《radar design with matlab》(document is designed to use radar Matlab source code, its reference books "radar design with Matlab")