color_space_transformation

MIMO-OFDM的matlab and simulink(OFDM+BPSK SIM_OFDM+BPSK OFDM BPSK Simulink)

系统详细的介绍了卡尔曼滤波的原理和过程，非常适合那些正在学习和研究卡尔曼滤波的朋友们。(The system described in detail the principles and process of the Kalman filter is ideal for those who are learning and research of the friends of the Kalman filter.)

简单的平滑处理的例子，用到了smooth函数和polyfit函数。适合初学者(Examples used to Datalist control, suitable for beginners, and can be used directly)

具有丰富的matlab编程实例，把matlab的基本应用都包括进来了(example of MATLAB applications, including a lot of documents)

数字信号处理相关源代码，有用的代码。是初学者的好帮手(Digital signal processing related to source code, useful code. Is a good helper for beginners)

main executing reference usage: observeWaveletDecompositionBenchmark_N_levels.m The objective is to illustrate wavelet decomposition, and to describe how operations may be done in the wavelet domain before the reconstruction. The demo decouples the wavelet operations (transform, operation in wavelet domain, and reconstruction) from the plotting. A PSNR and MSE describes the possible distortion (however minimal) of the forward and inverse wavelet transform. * Caveat: The image display may be subjected to the selected target image. The objective is to provide a simple framework for the understanding of working with wavelets.

clustering_code ,Clustering Through Ranking On Manifolds Version 0.2 Copyright by Markus Breitenbach and Gregory Z. Grudic (clustering_code. Clustering Through Ranking On Manifolds Versi on 0.2 Copyright by Breitenbach and Greg Markus watch Z. Grudic)

用于生成黑白测试条纹图，可用于普通2D显示或者3D显示器的测试与开发。(Can be used for testing displays.)

计算机视觉大牛Andrew Blake著的书。 《视觉和图像处理中的马尔科夫随机场》 Markov random fields for vision and image processing(This book sets out to demonstrate the power of the Markov random field (MRF) in vision.It treats the MRF both as a tool for modeling image data and, coupled with a set of recently developed algorithms, as a means of making inferences about images. The inferences concern underlying image and scene structure to solve problems such as image reconstruction, image segmentation, 3D vision, and object labeling. This chapter is designed to present some of the main concepts used in MRFs, both as a taster and as a gateway to the more detailed chapters that follow, as well as a stand-alone introduction to MRFs.)

fxlms基本算法在有源噪声控制中的应用，有MSE曲线图(The application of basic FXLMS algorithm in active noise control has MSE curve.)