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有关MATLAB软件的超详细介绍 适合初学者(For details of MATLAB software for beginners super)

运用分水岭的算法对图像进行分割 是一种新的方法，运用此方法，还可以对重叠的细胞进行分割(WATERSHED SEGMENTATION)

功率谱估计是利用有限长的数据估计信号的功率谱，广泛应用于各个领域。功率谱估计主要分为经典谱估计与现代谱估计。常用的经典谱估计方法有周期图法，相关法，周期图的改进法，常用的现代谱估计方法有最大熵谱估计，AR模型，MA模型，ARMA模型。经典谱估计适用于长序列的信号，其主要缺陷是描述功率谱波动的数字特征方差性能差，频率分辨率低，现代谱估计适用于短序列的信号，旨在改善谱估计的分辨率，并将其应用于实际地震资料的谱分析。 (Power spectrum estimation is the use of a finite length data to estimate the power spectrum of the signal, widely used in various fields. Power spectrum estimation is divided into classic and modern spectral estimation spectral estimation. Commonly used methods of classical periodogram spectrum estimation method, the relevant law, the cycle graph Improvement Act, commonly used in modern spectral estimation methods have maximum entropy spectral estimation, AR model, MA model, ARMA model. Classical spectral estimation applied to signal a long sequence, its main drawback is the fluctuation power spectrum describing digital signature variance performance is poor, the frequency resolution is low, modern spectral estimation applied to signal short sequences designed to improve spectral estimation resolution, and The analysis applied to real seismic data spectrum.)

MATLAB的神经网络工具箱实用指南. 第一章是神经网络的基本介绍，第二章包括了由工具箱指定的有关网络结构和符号的基本材料以及建立神经网络的一些基本函数，例如new、init、adapt和train。第三章以反向传播网络为例讲解了反向传播网络的原理和应用的基本过程。(MATLAB neural network toolbox of practical guidance. The first chapter is a basic introduction to neural networks, and the second chapter, including the toolbox designated by the network structure and symbols related to the basic material and the establishment of neural network, some basic functions, such as new, init, adapt and train. Chapter III to back-propagation network as an example to explain the back-propagation network, the basic principle and application process.)

产生几种典型的电能质量扰动信号源及其该信号源的ST变换(Produced several typical power quality disturbance source and the transformation of the source ST)

using matlab by vietnameses

solution of multivariable non linear equation by LU decomposition method

使用每秒10个采样的频率 ，对信号 进行采样，画出原始信号的傅立叶变换X(f) 和理想采样信号的傅立叶变换 。假定重构滤波器是带宽为 的理想低通滤波器，具有带通增益 ，画出重构滤波器的输出(Using 10 samples per second frequency, the signal is sampled, to draw the original signal Fourier transform X (f) and the ideal sampling signal Fourier transform. Reconstruction filter is assumed that the ideal bandwidth low-pass filter with a bandpass gain, draw the output of reconstruction filter)

this source code is for Training ,HMM for speech recognition

时频分析的其他应用,一阶时间矩的计算,也可近似计时频曲线(other application of time-frequency and one time moment distribution)