junjun

此源码程序是自适应滤波中的自适应均衡器在MATLAB中对其就行了仿真，是自适应滤波的一种应用(The source process is adaptive filtering in the adaptive equalizer in MATLAB on the line in their simulation is a kind of adaptive filtering applications)

3GPP LTE采用的信道仿真模型，目前在3GPP中的提案均采用这一种信道模型，源码是经过国外著名大学和公司联合完成的，极具珍藏价值。(3GPP LTE the channel simulation model, 3 GPP in the proposal were adopted this channel model. OSS was famous overseas universities and companies jointly complete the great commemorative value.)

在TM波激励下，用矩量法仿真导电柱体的散射，得到电流密度与电荷密度随入射角度变化的规律。(In the TM wave excitation, using the method of moments simulation of the scattering conductive cylinder, get the current density and charge density variation with angle of incidence.)

matlab检测直线交点源程序 matlab检测直线交点源程序(Detection of straight-line intersection matlab source line intersection detection matlab source)

将指纹图像分为好、中、差三类，然后根据典型的质量指标在各类质量中的影响度来设定相关的权重，以此可以更准确的表示图像质量，提高指纹识别的后续处理的准确性，系统的稳定性(Fingerprint image is divided into good, normal and poor, and then the typical quality indicators in the quality of the impact of various degrees to set the associated weight, this can be a more accurate representation of image quality and follow-up to deal with fingerprint recognition accuracy, system stability)

直流电机的仿真模型，还有一些帮助说明。(Dc motor of the simulation model, and some help explain.)

principle component analysis methods for matlab wokspace.

Function reconstructs an estimate of a surface from its surface normals by correlating the surface normals with that those of a bank of shapelet basis functions. The correlation results are summed to produce the reconstruction. The sumation of shapelet basis functions results in an implicit integration of the surface while enforcing surface continuity. Note that the reconstruction is only valid up to a scale factor (which can be corrected for). However the reconstruction process is very robust to noise and to missing data values. Reconstructions (up to positive/negative shape ambiguity) are possible where there is an ambiguity of pi in tilt values. Low quality reconstructions are also possible with just slant, or just tilt data alone. However, if you have full gradient information you are better off with the Frankot Chellappa algorithm below.

采用T.Chan的总体变分(TV)方法实现图像修复，由于算法本身的局限性，无法解决视觉连通性的问题。(using T. Chan of the overall variation (TV) method of image restoration, Due to the limitations of their own algorithm to solve visual connectivity problems.)

Using the steepest descent to solve do the optimization work. You can either cll the function or use the difference method to derive the gradient