mixture-Gauss-model-EM-matlab

New Bagawan S. Nugroho bit error rate of BPSK modulated LDPC codes under correct AWGN channel, with (1024, 512) codes.

MATLAB学习的基础资料，便于初学者快速查找各类函数(Biography MATLAB learning easy for beginners to quickly find all types of functions)

kalman滤波算法。通过卡尔曼滤波算法，实现对发放信号的滤波还原。(the algorithm of kalman filtering)

信道编码模块。通过比较有无信道编码模块的不同系统误码率性能，感受信道编码技术对于提高系统性能的重要意义。打开“Channel_Coding_74.vi”打开程序框图并理解参与信道编码的整个数据流。(channel coding)

基于MATLAB的，电能质量分析中用来检测谐波的闪变仪simulink仿真设计模型(Based on MATLAB, power quality analysis for detecting harmonics flickermeter simulink simulation model design)

采用buck-boost双向DC-DC变换，实现脉冲充放电，输入Ts=1e-4 (The buck-boost bidirectional DC-DC conversion, pulse charge and discharge the input Ts, = 1e-4 )

Abstract—Numerous methods have been developed for holistic face recognition with impressive performance. However, few studies have tackled how to recognize an arbitrary patch of a face image. Partial faces frequently appear in unconstrained scenarios, with images captured by surveillance cameras or handheld devices (e.g., mobile phones) in particular.

Fmincon example you can find functions min. value with this example

Structured Edge Detection Toolbox( ################################################################### # # # Structured Edge Detection Toolbox V3.0 # # Piotr Dollar (pdollar-at-microsoft.com) # # # ################################################################### 1. Introduction. Very fast edge detector (up to 60 fps depending on parameter settings) that achieves excellent accuracy. Can serve as input to any vision algorithm requiring high quality edge maps. Toolbox also includes the Edge Boxes object proposal generation method and fast superpixel code. If you use the Structured Edge Detection Toolbox, we appreciate it if you cite an appropriate subset of the following papers: @inproceedings{DollarICCV13edges, author = {Piotr Doll ar and C. Lawrence Zitnick}, title = {Structured Forests for Fast Edge Detecti)

LS-ESPRIT算法，能够有效的测出信号的位置(LS-ESPRIT algorithm can effectively detect the location of the signal)