speech_enhancement_matlab_by_lx

AOA algorothm in smart antennas

说明：  一个有关核PCA的程序 主要用于模式识别和正交分解中(A nuclear PCA process is mainly used for pattern recognition and orthogonal decomposition)

matlab gui..................(matlab gui.........................)

114个数字图像处理MATLAB实验程序(114_image_processing_programs_by_MATLAB)

RN feed-fordward, para realizar redes neuronales fordwar, se utiliza la funcion de activacion sigmoideal

基于MATLAB的信号处理，经过脉冲压缩时加窗与不加窗对比以及分析。(MATLAB-based signal processing, after pulse compression and non-add window add contrast as well as the analysis window.)

考虑L的三个不同值：L＝256（3个数据段），L＝128(7个数据段)和L=64（15个数据段）。各自的谱估计图如上图所示。可以明显的看到，加窗明显的减小了频谱上的假谱峰，但也更加进一步平滑了谱峰。所以，对于L＝64的情况，在ω＝0.8π的谱线可以很确定的辨认，但是那两个靠近的谱峰不容易区分。对于L＝128的情况，这种情况提供了在分离和检测间最好的均衡。当然，对于在L＝256时的情况，效果是更好的，能够从谱估计图上明显的分辨出三条谱线的存在以及它们幅度关系的强弱。 除了Welch法外，还可以采用对多个周期图求平均的功率谱估计方法的其他方法如Bartlett法等等，在功率谱估计上也能取得较好的结果。(consider three different values : L = 256 (3 data), L = 128 (7 data) and L = 64 (15 data). Their spectral estimation map as shown in Fig. It is clear to see that increase significantly decreasing window of the spectrum of false peaks, but much more to further smooth the peaks. Therefore, L = 64, in the case = 0.8 spectrum can determine the identification, but that the two peaks around is not easy to distinguish. L = 128 for the situation, which provided the separation and detection among the best balanced. Of course, L = 256 in the case, the effect is better, from the spectral estimation map clearly distinguish between the three lines of the existence and their relationship to the rate of strength. In addition to Welch law, but also can be used to map multiple cycle for the average power)

说明：  双三次插值matlab代码，内含lena标准测试图像(Bicubic interpolation, with lena in zip)

变尺度法DFP求函数极小点（个人编写，改变函数、即可使用）(DFP DFP minimum point of a function)

MATLAB 7.0编程基础基础源程序 相当好(based programming source very good foundation)