twolayerperceptrons

说明：  是个好东西，给大家共享了，希望对大家有帮助(is a good thing for everyone to share, we want to help)

说明：  ofdm系统的matlab仿真程序框架，包括信道编码等(Matlab simulation program framework of OFDM system, including channel coding and so on)

the simulation provides computation of target reflectivity data in the deficient elevation domain. Simulations are implemented to test the decoupled least-squares technique for high resolutionspectral estimation of target reflectivity.all seven (7)files should be downloaded for the simulation to work.(dls3D.m,estimate.m,get2S1Data.m,getConstraints.m, getImageData.m,getPixelData.m, getSLICYData.m)

IIR数字滤波器课程设计~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~(IIR digital filter design courses ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ~~~~~~~~~~~)

用rayleighchan 函数仿真时要注意最后要做相位补偿（此问题是导师发现的） 程序步骤： ~产生随机序列 ~产生瑞利信道 ~调制 ~记忆信道特征 ~信号通过信道 ~相位补偿 ~加高斯噪声 ~解调 ~计算仿真误比特率 ~计算理论误比特率 ~不同颜色画出误比特率曲线对比(Function Simulation with rayleighchan last thing to note when the phase compensation (this issue is found mentor) program steps: ~ ~ generated random sequence modulation in Rayleigh Road, ~ ~ ~ memory characteristics of the signal channel by channel ~ ~ plus Gaussian noise phase compensation ~ ~ demodulation bit error rate calculation simulation of bit error rate calculation theory ~ ~ different colors to draw curves of bit error rate)

data from ecg signal from mit-bih

在matlab的基础算法上，以zigbee的小蜜蜂最小路径代码用c语言或C++语言转变来的代码(matlab suanfa zigbee)

说明：  dsp programming and shematic fpga programming

Texture Analysis Using DWT for Grape Plant Species Classification:- By observing leaf, we can easily identify plant but it is difficult to identify its species. In this project we developed an algorithm that gives user the ability to identify plant species based on photographs of the leaf. The core theme of this application is an algorithm that acquires statistical features of the leaves, and then classifies the species based on a novel combination of the computed texture feature analysis and wavelet analysis. While implementing this algorithm we have considered the Grape plant and its four species viz. Clone, Sonaka, Thomson and Manik. The algorithm is first trained against several samples of known plant species and then used to classify unknown query species. By using this algorithm we have achieved 93.33 efficiency

Controle de courant avec PMW