PDE

matlab ostu 算法源码实现非常棒(matlab ostu code)

ｍａｔｌａｂ内插还原算法的小例子，我给个例子,根据具体要求改一下就行了(matlab interpolation algorithm to restore a small example, let me give an example, according to the specific requirements to look on the list)

it is a book that treats all aspects of the radar including MTI and pulsed doppler radar

BackPropagation, implemented by matlab, for those who are new in neural networks

双极性二进制基带传输系统的仿真和误码性能验证 ①．发送信号的星座图，发送和接收信号的波形，不同信噪比情况下，接收信号的星座图 ②．画出无信道编码时，误比特率的理论曲线和仿真曲线，以及有信道编码时误比特率的仿真曲线 ③．解释以上获得的各种结果的合理性 ④．选做：选用不同纠错能力的信道编码方法，比较信道译码后的误码率(Simulation and Error Performance Verification of Bipolar Binary Baseband Transmission System (1) Constellation diagram of transmitted signal, waveform of transmitted and received signal, constellation diagram of received signal under different signal-to-noise ratio (2) Draw the theoretical and simulation curves of BER without channel coding and the simulation curves of BER with channel coding. (3) Explain the rationality of the results obtained above. (4) Choose: Choose channel coding methods with different error-correcting abilities to compare the bit error rate after channel decoding.)

说明：  用MATLAB实现7参数转换的小程序，会很方便的(7 parameters using MATLAB to achieve conversion of small programs)

In the previous chapters we have encountered a number of ways to process digital on

在：1）理想无噪生条件，2）SNR=10dB，3）SNR=20dB，4）两径衰落信 道{0, 0}、{-6dB，-10symbol}条件下，分别产生 1000 个符号的 QPSK、8PSK、 16QAM 星座点， 画出信号序列的星座图， 提交电子版信号产生、 加噪、 显示的*.m 程序和电子版 WORD 报告。 报告要求给出原理描述、 框图和分析说明输出结果。(In: 1) an ideal noiseless Health conditions, 2) SNR = 10dB, 3) SNR = 20dB, 4) two-path fading channel {0, 0}, {-6dB,-10symbol} under conditions generate 1,000 symbols QPSK, 8PSK, 16QAM constellation points, draw constellation signal sequence, submit an electronic version of the signal, noise, display*. m procedures and electronic WORD report. Reporting requirements given Principles, and the analysis shows a block diagram of the output.)

说明：  matlab写的ostu最佳阈值图像分割( ostu optimal image segmentation　write　with matlab)

运用matlab编写，可用于一维信号压缩，经验证应用效果较好。(Using matlab prepared for one-dimensional signal compression, proven applications better.)