Forcal

单一频率的正弦相关法动态测试系统的测试方法简单，不需要对系统进行辨识。只需要观察被测系统输出信号的相差和幅值变化。通过扫频的方法测量在不同的频率点下的幅值和相位变化。在工程应用中，只需要知道被测系统的相位变化在正常的范围内就可以视系统的动态性能正常。该仿真算法只是建立了一个模型。在实际运用时还需要变换测试信号的频率和周期。(A single frequency sinusoidal correlation method of testing dynamic testing system is simple, does not require system identification. Only need to observe the difference between the measured system output signal and amplitude change. Swept through the method of measurement points at different frequencies under the amplitude and phase changes. In engineering applications, only need to know the system under test changes in the normal phase it may be possible within the framework of the dynamic performance of the system to normal. The simulation algorithm is the establishment of a model. In the practical application of test signals also needed to change the frequency and periodicity.)

小波包降噪、提取能量特征值，用于振动信号处理、故障诊断等。里面有经典的例子，供大家学习(Extract the energy eigenvalues for vibration, wavelet packet de-noising, signal processing, fault diagnosis. There are classic examples, for everyone to learn)

matlab版本的深层受限玻尔兹曼机，是对RBM的改进(matlab version of Deep Restricted Boltzmann Machine)

MATLAB7.0的官方电子教程，我可是很不容易才弄到的哦~~非常适合MATLAB基础比较差的人(MATLAB7.0 official e-tutorial, I' m not easy to just get the oh ~ ~ very suitable for people with poor basic MATLAB)

The purpose of the speech is communication. The area of speech processing is just developing, and shows the tremendous potentialities for widespread use in the future. In this project we have processed the speech signal with the help of the DIGITAL SIGNAL PROCESSING techniques. The speech signal is given as the input will be verified using speech recognition technique using matlab. We have used Mel Frequency Cepstral Coefficient (MFCC) along with Vector Quantization (VQLBG) and Euclidean Distance to identify different characters. Based on the results, data was send to Parallel Printer Port of the computer & using relay different devices will be controlled.

biometroics lecture notes

贝叶斯分类器的设计实验，内有解释利于入门学习(Bayesian classifier design experiments, which help to explain the study entry)

使用K近邻法设计分类器，对一组数据进行分类(K-nearest neighbor algorithm to design the classifier, to classify a set of data)

关于RAKE接收机的三种合并方式的性能比较的matlab仿真程序，对接收信号进行MRC、EGC、SC合并的输出信噪比比较。(To compare the performance of the merger of three methods on the receiving end of RAKE receiver: MRC, EGC, SC with the output signal to noise ratio comparison )

说明：  核极限学习机是一种单隐层前馈神经网络(the single-hidden layer feedforward neural networks,SLFNs),其只需要设置隐藏层节点数,然后采用最小二乘法计算出权值即可。因此,核极限学习机在学习速度和泛化能力上具有很大优势。(Kernel limit learning machine is a single hidden layer feedforward neural networks (slfns). It only needs to set the number of hidden layer nodes, and then use the least square method to calculate the weight. Therefore, the kernel limited learning machine has a great advantage in learning speed and generalization ability.)