tensor_toolbox_2.4

数字信号处理，用matlab来实现对信号的处理，这本书 是基础，手把手的教你(Digital signal processing, using matlab to achieve signal processing, this book is the basis, teach you hands-on)

IEEE 13 bus with double tuned filter at 3rd bus

ECHO CANCELLATION SIMULLATION in matlab

implementation edge link image processing

Training Artificial Neural Network. XOR Problem. Summation Units, Log-Sigmoid Neurons with Biases. Input Layer: 2, Hidden Layer: 2, Output Layer: 1 neurons. Returns mean square error between desired and actual outputs. Reference Papers: D. Karaboga, B. Basturk Akay, C. Ozturk, Artificial Bee Colony (ABC) Optimization Algorithm for Training Feed-Forward Neural Networks, LNCS: Modeling Decisions for Artificial Intelligence, 4617/2007, 318-329, 2007. D. Karaboga, C. Ozturk, Neural Networks Training by Artificial Bee Colony Algorithm on Pattern Classification, Neural Network World, 19(3), 279-292, 2009. */

使用matlab编写的有关于显示图片并且能旋转的相关内容(Written about the use of matlab display pictures and can rotate related content)

MFCC参数和LPCC参数需要频繁使用的语音的说话人识别分析还需要使用大量的这些特征参数,这就需要研究MFCC和LPCC算法和参数提取的原则。因为我们需要了解与人交谈的过程中,我们要进行建模 率不构成线性关系，而更偏向于对数关系，这就使得人耳对低频信号比高频信号更敏感。Mel频率的提出是为了方便人耳对不同频率语音的感知特性的研究。频率与Mel频率的转换公式为(MFCC parameters and LPCC parameters are parameters of speaker recognition which requires frequent use of voice analysis also need to use a lot of these characteristic parameters, This requires research MFCC and LPCC algorithm and the principle of parameter extraction. Because we need to understand the process of talking to people, we want to conduct a speaker modeling the perception of the human ear does not constitute a linear relationship with frequency, and prefer to logarithmic relationship, which makes the human ear is sensitive to low frequency signal is better than high frequency signal. Mel frequency is put forward in order to facilitate the ear of the study of speech perception characteristics of different frequency. For frequency and Mel frequency conversion formula)

hough变换的一个实例，用matlab语言实现。(hough transform.)

基于自适应多尺度数学形态学的信号去噪，程序可以直接运行。(signal denoising based on adaptive multi-scale mathematical morphology )

逆合成孔径雷达成像最基本的转台成像程序，适合刚接触这一领域的新手学习。(Inverse synthetic aperture radar imaging basic turntable imaging procedures, suitable for beginners new to the field study.)