wine_SVM

求一个系统的幅频响应相频响应单位冲击响应以及其它(Find the frequency response of a system unit impulse response of the phase-frequency response and other)

时隙ALOHA协议程序：实际产生的业务量，吞吐量，平均延迟 (Slotted ALOHA protocol procedures: the actual traffic throughput, average delay)

This routine performes trellis quanization of input sequence and provides output which should be further arithmetically coded. The program can be used for research ot teaching purposes to study performance of vector quantization, in particlular code-based trellis (multidimensional lattice) quantization.

An optimized 3d Astar Path planner was uploaded.

JITTERBUG 是一个用来仿真线性控制系统的Matlab工具箱。通过JITTERBUG，我们能得到延时、数据丢失对系统的性能影响。同时，这个工具箱还能计算控制系统中信号的谱密度。(JITTERBUG [Lincoln and Cervin, 2002] is a MATLAB-based toolbox that allows the computation of a quadratic performance criterion for a linear control system under various timing conditions. Using the toolbox, one can easily and quickly assert how sensitive a control system is to delay, jitter, lost samples, etc., without resorting to simulation. The tool is quite general and can also be used to investigate jitter-compensating controllers, aperiodic controllers, and multi-rate controllers. As an additional feature, it is also possible to compute the spectral density of the signals in the control system. The main contribution of the toolbox, which is built on well-known theory (LQG theory and jump linear systems), is to make it easy to apply this type of stochastic analysis to a wide range of problems.)

径向基函数神经网络的优点：逼近能力，分类能力和学习速度等方面都优于BP神经网络，结构简单、训练简洁、学习收敛速度快、能够逼近任意非线性函数，克服局部极小值问题。原因在于其参数初始化具有一定的方法，并非随机初始化。代码为RBF的matlab程序，可以使用但是需要自己配置数据。(Radial Basis Function Neural Network (RBF-NN) has the advantages of better approximation ability, classification ability and learning speed than BP Neural Network (BP Neural Network). It has simple structure, simple training, fast learning convergence, and can approximate any non-linear function to overcome the local minimum problem. The reason is that its parameter initialization has a certain method, not random initialization.)

An matlab script that open an audio aiff file and extract the data put into a raw pcm variable.

Simulatiom MIMO Zero Forsing, MMSE

对实时视频数据做二值化处理，实现目标分离跟踪检测，实现计数。通过对目标特征点连续多帧跟踪，利用最小二乘法实现测速。(traffic 凑难听)

TRAINDIFFEVOL(NET,Pd,Tl,Ai,Q,TS,VV) takes these inputs, NET - Neural network. Pd - Delayed input vectors. Tl - Layer target vectors. Ai - Initial input delay conditions. Q - Batch size. TS - Time steps. VV - Either empty matrix [] or structure of validation vectors. and returns, NET - Trained network. TR - Training record of various values over each epoch: TR.epoch - Epoch number. TR.perf - Training performance. TR.vperf - Validation performance. TR.tperf - Test performance. TR.mu - Adaptive mu value.