资源列表
Practicalspreadspectrumcommunicationsystemsimulati
- 扩频通信系统实用仿真技术，书上各章节的程序一应俱全。-Practical spread spectrum communication system simulation technology, the program book chapters on everything.
bch
- BCH码的原理及BCH (15, 5)码MATLAB编译码仿真过程-BCH code of principles and BCH (15, 5) code decoding simulation MATLAB
gabork-means
- 该方法采用gabor提取纹理特征，最后采用k-means方法聚类进行图像分割-The method uses gabor texture features extraction, and finally using k-means clustering methods for image segmentation
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- 频谱感知，能量检测 频谱感知，能量检测 频谱感知，能量检测-energy detetor energy detetor energy detetor energy detetor
NNET
- BP-神经网络 The neural network is trained with the Levenberg-Marquardt algorithm. The activation functions can be either linear ( L ) or hyperbolic tangent ( H ).-Backpropagation neural network with one hidden layer for multivariate calibration. (Desig
bpsk
- 二相相移键控（BPSK）调制解调过程的MATLAB仿真实现。ASK、FSK、PSK这三种数字调制方式在抗干扰噪声能力和信号频谱利用率等方面，以相干PSK的性能最好，目前已在中、高速传输数据时得到广泛应用。-Binary phase shift keying (BPSK) modulation and demodulation process, MATLAB Simulation. ASK, FSK, PSK modulation in the three digital noise interf
ImageProcessing
- JPEG图像压缩标准MATLAB仿真程序。包括DCT变换及其逆变换、量化及反量化等过程。-JPEG image compression standard MATLAB simulation program. Including the DCT transform and its inverse transform, quantization and inverse quantization and other processes.
1d-photonic-lattice
- Light propagation in 1D arrayed waveguide
chebyshev
- 输出chebyshev映射的混沌序列，及其自相关、游程特性-Output chebyshev map sequence, and autocorrelation, run-length features
amplitudefrequency
- 用MATLAB使信号x(t)产生函数,并显示信号的幅频特性曲线-Using MATLAB to signal x (t) generating function, and displays signal amplitude-frequency characteristic curve
Wienernoisesuppression
- 维纳噪声抑制，1、 实验原理是利用信号之间的相关性进行信号估计，从而将噪声滤除； 2、 辅助观测信号的噪声抑制可利用Wiener-Hopf方程 求出维纳滤波器的系数 ，式中 是 的自相关阵， 是输入信号 和滤波器输入 之间的互相关矢量； -Wiener noise suppression, 1, experiment is the use of the correlation between the signals for signal estimation, which will fi
shexingjidong
- 目标作蛇形机动matlab仿真，包括卡尔曼和最小二乘滤波，可出x，y方向误差，-Matlab simulation target for maneuver, including the Kalman and least square filtering, the x, y direction of error,