matlab-luoshuan

说明：  数字图象处理冈萨雷斯MATLAB源程序工具箱,包含数字图像处理各种算法(Digital Image Processing Gonzalez source MATLAB toolbox that contains a variety of digital image processing algorithms)

4 program for adaptive filters (LMS & SER algorithm with 2 example)

matlab编写的地震处理系统，用于实现地震处理后续的处理，方便在matlab上进行处理。(Seismic processing system written by MATLAB)

Matlab实现的全相位频谱分析，可以自行设定点数和输入序列。结果包括频谱图和与普通fft的对比(Matlab to achieve all-phase spectral analysis, can draw up a point and input sequence. The results include the spectral figure and the comparison with ordinary fft)

说明：  CDMA的matlab实现，程序中介绍了CDMA实现的算法以及实现的结果(CDMA, matlab implementation, the program introduces CDMA implementation algorithm and the results achieved)

Abstract—Several algorithms have been developed for tracking formant frequency trajectories of speech signals, however most of these algorithms are either not robust in real-life noise environments or are not suitable for real-time implementation. The algorithm presented in this paper obtains formant frequency estimates voiced segments of continuous speech by using a time-varying adaptive filterbank to track individual formant frequencies. The formant tracker incorporates an adaptive voicing detector and a gender detector for formant extraction continuous speech, for both male and female speakers. The algorithm has a low signal delay and provides smooth and accurate estimates for the first four formant frequencies at moderate and high signal-to-noise ratios. Thorough testing of the algorithm has shown that it is robust over a wide range of signal-to-noise ratios for various types of background noises.

　　利用matlab程序实现对一维信号进行连续小波变换，进而在程序的编辑过程理解一位连续小波变换的小波系数矩阵的含义。 　　同时通过对预算的到的小波系数矩阵进行分析解释，得到原始信号的频谱分布以及了解小波系数在尺度和位移两个分量上的意义。(Matlab program to achieve continuous wavelet transform of one-dimensional signal, and then in the editing process of the program to understand the meaning of a continuous wavelet transform coefficient matrix. Analysis to explain the budget to the wavelet coefficients matrix, the spectral distribution of the original signal, and understand the significance of the wavelet coefficients on the two components of scale and displacement.)

Tiny Voice—is based on a low-cost, 20-pin single-chip controller. It’s a speaker-dependent, templatebased, isolated-word recognizer. You train it to recognize your voice.

inverter model explain s wid the filer connected in series for sinosodal wave form.

灰色无偏GM（2,1）模型源代码 需要利用搜索工具箱求解参数(Unbiased Grey GM (2,1) model of the source code need to use the toolbox to solve the search parameters)