growcut

基于matlab的地理数据分析，有数据有程序，很全很完整。(Matlab-based geographic data analysis, data have procedures, very full very complete.)

小车倒摆的控制文件。在matlab中运行，对初学者有用 (Car inverted pendulum control file. Run in matlab, useful for beginners)

正交频分复用，多输入多输出的信道估计的matlab程序，经过验证可以直接运行(Orthogonal frequency division multiplexing MIMO channel estimation matlab program can be run directly, proven)

扩展卡尔曼滤波器 永磁同步电机 和大家交流(Extended kalman filter, permanent magnet synchronous motorAnd the opportunity to share )

LDPC is code for broadband wireless communication

Matlab LDA降维经典程序 外国人Jonathan Huang写的LDA matlab程序，用于多维特征的降维 (Matlab LDA dimension reduction procedures foreigners Jonathan Huang classic written LDA matlab program for multi-dimensional characteristics of the dimension reduction)

Computes the DFT of N real values and returns the first N/2+1 DFT coefficients. N is an integral power of two.

LDPC编码算法, Create R = 1/2 low density parity check matrix M : Number of row N : Number of column method : Method for distributing non-zero element {0} Evencol : For each column, place 1s uniformly at random {1} Evenboth: For each column and row, place 1s uniformly at random noCyle : Length-4 cycle {0} Ignore (do nothing) {1} Eliminate onePerCol: Number of ones per column H : Low density parity check matrix(LDPC_code source Create R = 1/2 low density parity check matrix M : Number of row N : Number of column method : Method for distributing non-zero element {0} Evencol : For each column, place 1s uniformly at random {1} Evenboth: For each column and row, place 1s uniformly at random noCyle : Length-4 cycle {0} Ignore (do nothing) {1} Eliminate onePerCol: Number of ones per column H : Low density parity check matrix)

DDC的模块图，很好很实用哦，欢迎下载~~(DDC in the block diagram, a very practical Oh well, welcome to download ~ ~)

matlab Coastal Land Use/Land Cover maps and Coastal Regulation Zone map on 1:25,000 and 1:50,000 scales derived from satellite data were collected from State Coastal Zone Management Authorities and enlarged into 1:12,500 scale. The georeferenced maps were digitized in ARC-INFO GIS. Digitized maps were edited, labeled and a layout was prepared. The area statistics of different Ecologically Important Areas were generated and presented in the maps.