speedandcurrent

mathematic全美经典教程，中文版本，非常实用。(mathematic language tutorials, Chinese)

Designs a linear phase FIR lowpass filter such that it: - minimizes the maximum passband ripple - has a constraint on the maximum stopband attenuation( This is a convex problem. minimize delta s.t. 1/delta <= H(w) <= delta for w in the passband |H(w)| <= atten_level for w in the stopband where H is the frequency response function and variables are delta and h (the filter impulse response). )

说明：  用matlab计算moran,但是只能是单向量。。。。。。。。。。。。。。。。。。。。。。(Computing Moran with MATLAB)

说明：  移动通信搭建直接序列扩频rake接收机链路的Matlab代码(Matlab code for building dsss rake link in mobile communication)

SUSAN-based functions to detects image edges and their orientation(SUSAN-based functions to detects image ed celebrated and their orientation)

独立成份分析（ＩＣＡ）以及ｗｉｎｎｅｒ滤波 Source separation of complex signals with JADE. Jade performs `Source Separation in the following sense: X is an n x T data matrix assumed modelled as X = A S + N where o A is an unknown n x m matrix with full rank. o S is a m x T data matrix (source signals) with the properties a) for each t, the components of S(:,t) are statistically independent b) for each p, the S(p,:) is the realization of a zero-mean `source signal . c) At most one of these processes has a vanishing 4th-order cumulant. o N is a n x T matrix. It is a realization of a spatially white Gaussian noise, i.e. Cov(X) = sigma*eye(n) with unknown variance sigma. This is probably better than no modeling at all...( Source separation of complex signals with JADE. Jade performs `Source Separation in the following sense: X is an n x T data matrix assumed modelled as X = A S+ N where o A is an unknown n x m matrix with full rank. o S is a m x T data matrix (source signals) with the properties a) for each t, the components of S(:,t) are statistically independent b) for each p, the S(p,:) is the realization of a zero-mean `source signal . c) At most one of these processes has a vanishing 4th-order cumulant. o N is a n x T matrix. It is a realization of a spatially white Gaussian noise, i.e. Cov(X) = sigma*eye(n) with unknown variance sigma. This is probably better than no modeling at all...)

WCDMA的simulink编程与开开发，相对来说比较详细，找的比较辛苦。 (WCDMA in simulink programming and open development, is relatively detailed, and looking hard.)

it s about equalizer and filter. The document is written in Indonesian and it s a report from the practical work

美式看跌期权二叉树算法的matlab程序实现方式m文件(American put option binary tree algorithm)

matlab simulink bidirectional converter