temp02

关于Matlab的Tools的常见问题的介绍(Matlab s Tools on the Frequently Asked Questions Introduction)

在功率谱估计中采用Bartlett法对信号进行功率谱估计。(In the power spectrum estimation method used in Bartlett signal power spectrum estimation.)

Matlab图像处理，点检测、线检测、边缘检测、边缘连接，阈值处理。 (Matlab image processing, detection, line detection, edge detection, edge linking, the threshold processing.)

基于格-梯型结构的RLS算法,结合格型滤波器阶数可调与横型滤波器时间可调的特性，设计出阶数和时间分别递推的自适应滤波器，使得平方误差最小.(Based on the lattice- ladder structure of the RLS algorithm, combined with the lattice filter order of adjustable features adjustable cross-type filter time, recursive adaptive filter design order and time, so that the minimum squared error.)

该M文件的编写将方波响应转化为脉冲响应的程序和将脉冲响应转化为方波。(The preparation of the M file into the square wave response procedures and the impulse response into a square wave pulse response.)

In MATLAB, usually we use function bvp4c() to solve boundary value problem (BVP) of ODE. However, we also can use function ode45() to solve BVP of ODE too. However, ode45() needs all initial values at one point. Therefore we have to construct an auxiliary function, whose input argument is the missing initial value and the return output is the given boundary value, Then we can call function fsolve() to get the missing initial value. This method is particularly efficient it the ODE has one or more parameters. Also this method is essentilal for GNU Octave, because whose function bvp4c() is not programmed for parameter ODE yet.

power_zener.rar,功率电子领域matlab仿真文件，已经验证过，程序运行正常(power_zener.rar,Power electronics field matlab simulation file, has already been verified, the normal operating procedures)

Hurst数计算，用于算法交易，非常有用(Hurst index)

隐马尔科夫模型是关于时序的概率模型，描述由一个隐藏的马尔科夫链随机生成不可观测的状态随机序列，再由各个状态生成一个观测而产生观测序列的过程。隐藏的马尔科夫链随机生成的状态的序列，称为状态序列；每个状态生成一个观测，而由此产生的观测的随机序列，称为观测序列。马尔科夫链由初始概率分布、状态转移概率分布以及观测概率分布确定(The hidden Markov model is a probabilistic model for time series. It describes the process of randomly generating unobservable state random sequences from a hidden Markov chain, and then generating an observation by each state to produce an observation sequence. A sequence of randomly generated states of hidden Markov chains, called a sequence of states; each state produces an observation, and the resulting random sequence of observations is called an observation sequence. Markov chain is determined by initial probability distribution, state transition probability distribution and observation probability distribution)

This is the MATLAB for the DSP working behind FM transmitters in FPGAs etc.