Bisection

MSK最小相位信号调制解调，附有清晰的性能图，仿真可靠的好程序(MSK minimum phase signal modulation and demodulation, with clear performance graphs, a good and reliable simulation program)

modern operating systems (clear edition) three chapters

空间平滑的MUSIC算法，适合学习，算法经典(Spatial smoothing MUSIC algorithm, suitable for learning classical algorithm)

solving poison equation by matlab

说明：  基于MATLAB实现语音识别数字0-9，含有GUI源代码(MATLAB speech recognition digital 0-9, including GUI source code)

自适应波束行成——最小二乘法，根据得到的波束图判断到达波的方向(Adaptive beam-line- on the least square method, according to the obtained beam pattern to determine the direction of wave)

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)

说明：  prony工具箱用于对信号进行prony分析，(We have designed a software tool in MATLAB, the Prony Toolbox, to perform Prony analysis. Prony Toolbox (PTbox) is designed based on several considerations including data preprocessing, model order selection, model order selection criteria, signal subspace selection, signal and noise separation, root inspection and assessing residuals. The PTbox provides flexibility to compare and display analysis results simultaneously for several parameter variations.)

Digital Image processing basics using matlab and can be transformed to c++ using open cv

这是用matlab写的dct代码用于图像的信息的隐藏和提取。。部分老师写的哦。(This is used to write the DCT matlab code for the image and extract the hidden information. . Oh part of the Writing Teacher.)