PCA特征提取算法开源码

说明：  bpsk仿真程序，仿真ber（误码率）等性能(bpsk simulation, emulation ber (bit error rate) and other properties)

Upper gain margin Intended for a senior-level course on the analysis and design of digital control systems, the text is also useful for graduate students and practicing engineers who are learning state-space design techniques.

Matlab最优化计算中的无约束一维极值问题(Matlab optimization calculations for unconstrained one-dimensional extremum problems)

soft Demapping QPSK : LLR computation using Euclidian distance approach, Parallel-to-Serial converter : needs I and Q components of QPSK symbols at the input

that is useful code for communication

精通MATLAB数字图像处理与识别 chapter10 代码(Proficient in MATLAB digital image processing and recognition chapter10 code)

自己写的matlab GUI界面，可进行PCA分析及LDA分类，附有光谱数据模拟(Write your own matlab GUI interface of PCA and LDA can be classified with spectral data simulation)

support vector classification machine ％ soft margin ％ uses "kernel.m" ％ ％ xtrain: (Ltrain,N) with Ltrain: number of points N: dimension ％ ytrain: (Ltrain,1) containing class labels (-1 or +1) ％ xrun: (Lrun,N) with Lrun: number of points N: dimension ％ atrain: alpha coefficients (from svcm_train on xtrain and ytrain) ％ btrain: offest coefficient (from svcm_train on xtrain and ytrain) ％ ％ ypred: predicted y (Lrun,1) containing class labels (-1 or +1) ％ margin: (signed) separation from the separating hyperplane (Lrun,1(support vector machine classification% s oft margin% uses "kernel.m"%% xtrain : (Ltrain, N) with Ltrain : number of points N : % ytrain dimension : (Ltrain. 1) containing class labels (-1 or 1)% xrun : (Lrun, N) with Lrun : number of points N : % atrain dimension : alpha coefficients (from svcm_train on xtrain and ytrain)% btrain : offest coefficient (from svcm_train on xtrain and ytrain)%% ypred : predicted y (Lrun. 1) containing class labels (-1 or 1)% margin : (signed) separation from the separating hyper plane (Lrun, 1)

最优化方法及其Matlab程序设计，乘子法程序，非线性最小二乘问题源码，最速下降法与牛顿法源码等等(Optimization method and Matlab programming, multiplier method procedures, non-linear least squares problem source, the steepest descent method and Newton' s law code, etc.)

RLS算法仿真程序源代码 用RLS算法实现自适应均衡器的MATLAB程序(Implementation of MATLAB program for adaptive equalizer with RLS algorithm)