zigzag.pdf

matlab的最小二乘递推算法演示，以及工程应用实例(recursive least squares algorithm matlab demo, as well as examples of engineering applications)

利用matlab完成了对语音信号的重建，并针对重建信号进行了包括变速，变调等多种处理，适合初学语音信号的人参考。(Using matlab complete reconstruction of the speech signal, and for the reconstruction of signals, including a variety of processing speed, pitch, etc., suitable for beginners who voice signal reference.)

生成矩阵和校验矩阵的生成在MATLAB语言下的实现(Generated matrix and calibration matrix generated in the MATLAB language to achieve under)

codage programmes pour la parole

复旦大学matlab课程，Fourier transforms的代码以及教学课件(Fudan University matlab course, Fourier transforms of the code, and courseware)

对原始正弦信号进行傅里叶变换与逆变换并给出结果(Fourier transform and inverse transform the original sinusoidal signals and gives results)

i m trying to modified Joseph Kirk work on TSP GA here but failed miserably. Trying to modify the operators from using mutation to crossover. Then try to implement it using the map toolbox and input city coordinates, but also fail. Help me please someone.. i m so new to this stuff and nobody s there to teach me. My head feels like exploding trying to do this. Anyone that understand how to, help me please...

针对滚动轴承故障信号具有非平稳、非高斯的特点，提出了将时域分析与小波分析相结合的方法对滚动轴承进行故障诊断。在研究不同信号分析方法理论的基础上，以滚动轴承外圈故障振动信号为例，采用多种信号处理方法进行了分析。结果表明，各种分析方法在分析轴承故障时的特点各不相同，在实际使用中，可将时域分析与小波分析综合使用，实现轴承状态的实时监测与故障的准确定位。(For rolling bearing fault signals have non-stationary, non-Gaussian, we proposed the time-domain analysis and wavelet analysis method of combining the rolling element bearing fault diagnosis. In the study of different analytical methods based on the theory of signal to the outer ring rolling bearing fault vibration signal, for example, using a variety of signal processing methods are analyzed. The results show that a variety of analytical methods in the analysis of the characteristics of bearing failure vary, in actual use, can be time-domain analysis and synthesis using wavelet analysis, to achieve accurate positioning of the bearing condition monitoring and real-time fault.)

说明：  提取图片的纹理特征，灰度共生矩阵包括四个方向的熵，对比度等特征以及对用的均值和方差，共80维特征向量(Extract the texture features)

HERE IS A GOOD PSO TOOL BOX (HERE IS A GOOD PSO TOOL BOX)