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matlab 子空间辨识算法的总数解析matlab 子空间辨识算法的总数解析(subspace identification algorithm matlab total analytic subspace identification algorithm matlab total analytical)

使用Matlab R2009b进行数字音频调时处理编程(Using Matlab R2009b transfer digital audio processing program when)

Matlab入门学习，包括源程序，word文档已解密。(Matlab entry-learning, including source code, word documents decrypted.)

针对MUSIC算法在进行信号波达方向(DOA)估计时谱峰搜索运算量大的问题,提出了一种基于FFT多波束算法与MUSIC算法的联合DOA估计方法。该方法采用FFT多波束算法形成多个波束,近似估计信号DOA,获得对应波束指向,再利用MUSIC算法实现对信号DOA的精确估计。这样就只需在该波束指向对应的空域范围内搜索,减小了DOA估计的运算量。(MUSIC algorithm for performing signal DOA (DOA) estimates peak search operation when big problem, a joint DOA estimation method based on FFT algorithm and multi-beam MUSIC algorithm. The method uses FFT algorithm for multi-beam forming multiple beams, approximate estimate signal DOA, obtain the corresponding beam pointing, reuse MUSIC algorithm for accurate estimation of the signal DOA. This will only search within the beam direction corresponding airspace, reducing the amount of computation DOA estimates.)

利用matlab来实现数据的灰色建模和预测，具有较好的功能。(Using matlab to the gray data modeling and forecasting, with good function.)

Rayleigh distribution simulation with theoretical comparison

this file is a Recursive least square algoritm in matlab

MATLAB是美国MathWorks公司出品的商业数学软件，用于算法开发、数据可视化、数据分析以及数值计算的高级技术计算语言和交互式环境，主要包括MATLAB和Simulink两大部分。(MATLAB is a very popular language for technical computing used by students, engineers, and scientists in universities, research institutes, and industries all over the world.)

生成调制信号数据集 信号集包括2ASK，2PSK，2FSK，4ASK，4PSK，4FSK，8ASK，8PSK，8FSK，16QAM，64QAM，信号比范围-20db至18dB，调制到中频。 信号参数 符号率fb：1e3 载波频率fc：2e3 采样频率fs：64e3 信号频道：awgn，rayleigh(Generating Modulation Signal Data Set Signal sets include 2ASK, 2PSK, 2FSK, 4ASK, 4PSK, 4FSK, 8ASK, 8PSK, 8FSK, 16QAM, 64QAM, signal ratio range - 20 dB to 18dB, modulated to intermediate frequency.)

MATLAB cross-validation tool for classification and regression v0.1 FEATURES: + K-fold cross validation. + Arbitrary train and prediction functions with parameters can be used. + Arbitrary loss function can be used. + Wrappers for KNN, SVM, GLM, robust regression and decision trees. + Wrappers for RMSE, MAD and misclassification loss functions.