stft

example simulation s of analysis of electrical machinery and drive systems - Ex7 (DC Machine)

LTE document IEEE paper very useful

program tutorial of kalman filter using matlab 7.1

LMI for control systems

卡尔曼滤波模型的模拟范例 注释相当明确 适合初学者(KALLMAN FILTER)

语音增强算法，性噪比，原信号与增强后信号对比(Speech enhancement algorithm, sex ratio, the original signals and enhanced contrast )

用非线性kalman filter，也就是扩展kalman filter 实现对非线性状态方程的估计，能够很好地追踪目标。(Nonlinear kalman filter, which is extended kalman filter to achieve the estimated nonlinear equation of state can be a good track targets.)

做好了一个充电电路，可以实现脉冲充电。希望多多指教，运行前在MATLAB主界面输入Ts=1e-5。(a charging circuit, the pulse charging can be achieved. The exhibitions run before the the MATLAB main interface input Ts = 1e-5.)

非常详细的自适应信道均衡程序，设计了一种用于通信信道的自适应均衡器，提供了两种均衡方法，并进行了比较。(Very detailed adaptive channel equalization process, an adaptive equalizer for a communication channel, the two equalization method, and compared.)

Image Texture Classification Using Combined Grey Level Co-Occurrence Probabilities and Support Vector Machines Texture refers to properties that represent the surface or structure of an object and is defined as something consisting of mutually related elements. The main focus in this study is to do texture segmentation and classification for texture digital images. Grey level co-occurrence probabilities (GLCP) method is being used to extract features from texture image. Gaussian support vector machines (GSVM) have been proposed to do classification on the extracted features. A popular Brodatz texture album had been chosen to test out the result. In this study, a combined GLCP-GSVM shows an improvement over GLCP in terms of classification accuracy.