gcrf_demo

This program simulates plant identification least mean square (NLMS) alogrithm reference: 《LMS算法的频域快速实现》(This program simulates plant identification least mean square (NLMS) alogrithm reference: LMS algorithm for rapid realization of the frequency domain )

灰色系统GM（1，1）模型及其检验,用于时间序列预测(grey system GM（1，1）model and its testing，can be used to predict)

说明：  Dynamic Object Tracking Control for a Non-Holonomic Wheeled Autonomous Robot

说明：  D=1m d=2mm 当在一个缝的位置放置一个折射率n=1.4, 厚度为5mm的物质，不考虑损耗，画出此时的双缝干涉的图样 (D = 1m d = 2 mm when placed in the position of a seam of a refractive index n = 1.4 and a thickness of 5mm for the substance, and does not consider the loss, to draw the double-slit interference pattern)

是matlab的源代码，功能是从snr到Eb_N0的转换。并带绘图功能(Is the matlab source code, function from SNR to Eb_N0 conversion. And with graphics)

模糊控制机器人轨迹跟踪算法，很好用的，但不是我自己写的(Self-motion Generates path for seeking weld and fuzzy control simulation)

A motion picture presents a continues phenomena as a sequence of frames. We perceive continuity by "filling in the gaps" and "smoothing out " the missing information. While faster motion requires more frames during a given time period, there is a point where more frames per second yield no further improvement. The "sampling speed" must be fast enough to allow "appropriate averaging of dead times between frames", but need not accommodate motion too fast to be seen by a human. The above description is somewhat analogous to sampling of audio signals. The sampling rate depends on how fast the signals vary (the highest frequency we hear). Nyquist showed that sampling frequency exceeding twice the audio bandwidth is sufficient to include all the signal information, preserving the finest details up to half the sampling rate

高斯混合模型K均值算法matlab源程序用于说话人识别中(Gaussian mixture model K-means algorithm matlab source code for speaker recognition)

Wireless Sensor Networks (WSNs) are comprised of thousands of sensor nodes, with restricted energy, that cooperate to accomplish a sensing task. Various routing Protocols are designed for transmission in WSNs. In this paper, we proposed a hybrid routing protocol: Zonal-Stable Election Protocol (Z-SEP) for heterogeneous WSNs. In this protocol, some nodes transmit data directly to base station while some use clustering technique to send data to base station as in SEP. We implemented Z-SEP and compared it with traditional Low Energy adaptive clustering hierarchy (LEACH) and SEP. Simulation results showed that Z-SEP enhanced the stability period and throughput than existing protocols like LEACH and SEP.

A file filter that always returns true.